TW200401572A - Dynamic wireless resource utilization - Google Patents
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- TW200401572A TW200401572A TW92109591A TW92109591A TW200401572A TW 200401572 A TW200401572 A TW 200401572A TW 92109591 A TW92109591 A TW 92109591A TW 92109591 A TW92109591 A TW 92109591A TW 200401572 A TW200401572 A TW 200401572A
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200401572 玖、發明說明: 【潑~明所屬^_技術^員域^】 發明領域 本發明係論及一些適性無線電通訊,以及係特別論及 5 —或多可用無線資源之適性利用。 發明背景 一些與電磁頻譜(諸如頻寬)之使用相關聯的資源短 缺,會不利地影響到現有及新企業對新通訊應用之運用(包 10括服務供應商)。就一範例而言,一企業想要運用之新通訊 應用相關聯的頻寬要求’可能會超過該企業已被分配到之 一或多的電磁頻譜資源。一些新通訊應用被運用之速率, 係已超過了許多負責監督電磁頻譜之使用而適當評估新通 訊應用有關之政府單位的能力。當前一些已被認可之程 15序,通常係很費時及代價不貲,以及其係趨向於服務較大 型之企業,而非較小型之企業,此將會使得較小型之企業, 處於一不利之地位。 當前所使用之電磁頻譜,係可使資料在大約2〇〇 KHz 至1.5 MHz間之頻這内,以大約19.2至48 Kbps間之速率進行 20傳輸。許多有關無線電通訊之當前協定,係使用時分多址 聯接方式(TDMA) '碼分多址聯接(CDMA)、或電路交換技 術。一些使用者終端機(諸如手機),可依據其之使用者通訊 應用,在一單工模態、雙工模態、或三工模態中運作。一 無線電通訊,係可使限制至—地區性或全國性之範圍内, 200401572 以及一些支援無線電通訊之 譜之一專屬區段。 、、常係使用上述電磁頻 【明内】 發明概要 本發明之特定實_ 電通訊傳統上之缺點和問題。 輕—対關無線 在本發明之—實_中,—_ 技術之方法’係包括監 .、,、線貝原利用 # . X之無、,泉電通訊資源;以及 10 15 產生二無、、泉電通訊資源資料。使用μ μ 資料,將可_4乡此^線電通訊資源 次夕未末時段令之—或多的空白頻段之 出現。-空白頻段係無線電通訊之—機會,其中之一或夕 分配給-或多之第—使用者的無線電通訊資源,係暫時二 供一或多之第二使用者做無線電通訊用。有-些空白· 預測資料可使產生,以及使用此等㉔頻段預測資料^ 可合成-或多來自一或多所預測之空白頻段的無線電通訊 頻道。有-些頻道合成資料可使產生,以及有—些來自— 或多先A之無線電通訊企圖的反射回授之資料和一些反映 一或多網路條件之資料會被接收。依據此等接收之資料和 頻道合成資料,會有一或多特定之無線電通訊頻道,選自 一或多合成之無線電通訊頻道。有一些無線電通訊頻道資 料可使產生,以及使用此等無線電通訊頻道選擇資料,可 指示一無線電機組,來使用該等一或多選定之無線電通訊 頻道進行通訊。此無線電機組,在該通訊完成之後,會受 到指示而中斷該等一或多選定之無線電通訊頻道的使用。 20 200401572 本發明之特定實施例,提供了一或多 些特定之實施例,可提昇—或多有限電磁頻譜 無線資源(諸如時槽、電力、_ …、或其他 5 、碼)之使用。在—些特定 貝&歹'中’一或多未充份利用之無線資源(包括夫、 之無線資源)’係可被用來提供—或多使用者所需之^用 的無線電鏈路。其一些特定之實施例’係可增加-通tr 統(諸如-终端使用者裝置、基地台、或存取點)對= 限之無線資源的利用。在—些特定之實施例中,: 充份利用之無線資源的-或多未充份利用之部分,將: 10識別’以及隨後會依需要而被用來建立-或多之使脸 需的-或多之A線電鏈路。/此4± 使用者所 …、π鏈路。在一些特定之實施例中 聰控一些特定頻帶,一些無線資源,係使用—多維、 夕階層之程序,來加以監控。 15 、在—純定之實_中,—些未充份利用之無線資 源,係加以分組,以便在兩使用者之間,或在-裝置盘一 基礎設施點之間,建立„些無線鍵路H特定之、 例中,兩個❹個❹者,可彼此«而決定出-或= 線貧源之-或多的合適部分,以便建立—些有效而效率高 =無線鏈路。在-些特定之實施例中,有一些無線鍵路會 :到監控’以便進-步增加未來建立無線鏈路之有效性和 南效率性。 某些特定之實施例,可被使用在美國國防部(D0D)通訊 應用和«通訊應用兩者中之下—代無線裝置中。一些特 定之實施例,可基於該等無線資源之可用性,以及可基於 20 200401572 一或多之使用者的一或多之特定需求,而可適性地使用一 或多之無線資源,此可使得在各種不同之條件中,促成一 高速率和高服務品質(QoS)之無線電通訊。一些特定之實施 例,係可提供一種可供無線區域網路(WLAN)、手機、和其 5 他無線電系統使用之多重頻譜、寬頻軟體無線電解決方 案,其可被用作一些未能提供整體靈活性之特定網路的一 個低成本替代品。有些特定之實施例,可在DoD和商業兩 者環境中,提供一富成本效益之無線電系統。 在某些特定之實施例中,一或多之無線資源的一或多 10 未充份利用之部分,將會被識別,以及隨後會依需要而加 以激勵,藉以建立一或多可供一或多之使用者做資訊傳送 用所需的無線電鏈路。在其資訊傳輸業已完成後,該等一 或多之無線資源,將可被解激,以便容許一或多其他之使 用者,激勵該等一或多之無線資源。在一些特定之實施例 15 中,有些靈活性資源管理技術,係使與一或多之特定網路 能力和一或多之網路元件相結合。在一些特定之實施例 中,有較多之相互依賴性,在彼等網路元件中被建立,藉 以提供一更大之網路涵蓋區域和範圍。在某些特定之實施 例中,一認證中心可確認出一使用者存取一網路之試圖, 20 以及可隨繼提供一或多之無線鏈路給該使用者。有些特定 之實施例,係使用一些有效而效率高之代理技術,來促成 其通訊應用和基於需求之資源利用。 有些特定之實施例,倍基於一用以互通特定資料(諸如 聲音資料、電子郵件資料、或網頁資料)有關之需要,來使 9 200401572 用上述電磁頻譜之一或多的區段,藉以改善彼等電磁頻譜 資源之短缺’此將有利於使用新服務和通訊應用。某些特 疋之實施例,可被用來多少確保一或多之服務,唯有在有 需要時,方能使用-或多有限之電磁頻譜資源(以及在無需 5要時,放棄此等-或多有限之電磁頻譜資源的使用),以使 些較小之企業,能提供較多之服務。 某些特定之實施例,提供了 -些有靈活性之無線頻譜 貝源官理技術,其可增加無線網路元件對無線資源之利用 在某师定之實麵中,—些認證中心可輕易被存取, 藉、在通。fL應用供應商和一通訊應用使用者之間做確 u以及提i、或夕之無線鏈路。在某些特定之實施例中, 一些無«源係動態地被彻,藉以容許—些通訊應用之 基地臺的擴充。 圖式簡單說明 15 20 、為提供本發明和其特徵與優點更完全之瞭解,下文之 說明,將參照所附諸圖,其中: 第1圖係一可藉由激勵— 未破湘或未充份利用之 無線負源來建立一 4匕诵邙絲 圖例; 二U鏈路的無線電通訊系統的示意性 資』=:可增強—些未被利用或未充份利用之無線 貝源的使用有關之軟體適性技術的功能性圖例· 性方法的功 第誦第2圖中所例示之軟態( 能性圖例; 第4圖係一可例示其依 據本發明之動態無線資 源利用 10 200401572 技術有關的方法和系統之方塊圖,· 第5A至5E圖係一範例性DpA功能性; 第6圖係第4圖之預測器的方塊圖; 弟7圖係一基於一些預測之空白頻段特性的頻道合 5 和最佳化之圖例; 第8圖係第4圖之最佳化器的閉迴路結構之方塊圖; 第9圖係-依據本發明封裝f訊之間位(meta)存取方 的圖例; 10 15 第1〇圖係—可顯示第4圖之適配器的改變模態之多使 用者MAC功能性之方塊圖;而 第U圖則係-可例示-用以說明第4圖之先行 (1〇〇k-ahead)分配器的運作之演算法的流程圖。 C實施方式】 較佳實施例之詳細說明 *參照第1圖,此無線電通訊系統,係包括—些手機終端 機1 〇,彼等在程式賴查丨丨卜 、4上,可識別出一些未被利用或未充 份利用之無線資源,藉以建立出料手機終端機與—些包 ^路由器12和基地臺14之其他網路元件間的通訊鏈路。每 热線終端機10,可措言姑望土、木11 一' 了技寸彼專未被利用或未充份利用之無 、.貝"、’精以建立與—目標裝置之通訊鏈路。此外,每一 無線電元件在程式規劃上, — 一 堤立出一逆向私序,猎以自 一貧訊組織器,涂打士 —、s > ^ # 成一通讯鏈路,以便促成一通訊鏈路 或多之通訊網路的存取之無線電顧客建物(pr⑽㈣設 、’、~機1()可以是—手機’或-可提供顧客對一 備 20 200401572 (CPE)裝置。一資訊可使用一或多之無線電鏈路,在兩終端 機10之間、在一終端機10與一路由器12之間、以及在一終 端機與一基地臺14之間互通。一資訊可使用一或多之線接 (可包括光學式)鏈路,在兩路由器12之間,以及在兩基地臺 5 14之間互通。上述資訊所由通訊之終端機10,可使用一軟 態適性技術(下文將做更完全之說明),來搜尋一至一目標裝 置(其可能為另一終端機10、一路由器12、或一基地臺14) 之無線電鏈路所需的未充份利用之無線資源。上述資訊通 訊所至之終端機10,可使用一逆向程序(下文將做更完全之 10 說明),而能使用一或多未充份利用之無線資源和軟態適性 技術,來建立一無線電鏈路之最終部分。 通常,上述類似第1圖中所例示之無線電通訊系統,係 以一大於5 MHz之頻道頻寬,運作於20 Mbps至1 Gbps之資 料傳送速率下。此系統係運作於一使用分封交換之多協定 15 整合模態中,以及係立基於IP。每一手機終端機10,係屬 一些多模態適性單元,彼等可依據一應用需求共用一些無 線資源而做全球性之通訊。 參照第2圖,其令係例示每一無線終端機10内在之軟 體,其在作用上係透過一為此無線終端機之一部分的無線 20 電機組16,來建立一至其他無線終端機之通訊鏈路。此軟 體在作用上可識別及決定其環境中可用之未被利用或未充 份利用的無線資源。此係一動態分配方法,以及係利用一 些智慧型無線電機組16,來增強一通訊網路和一些無線終 端機中之DSP處理能力。於識別出一未被利用或未充份利 12 200401572 用之無«源時,該軟體在作用上可選擇—要被利用來供 傳輸和接收之可能頻譜資源。上述無線資源被該軟體所選 定之識別部分,將會配置上述之無線電機組16,藉以建立 -通訊鏈路。-回授資訊可針對先前之通訊企圖,而接收 自該網路,藉以進—步細職縣被·或未充份利用 無線資源的識別和決定。 之 10 15 20 -動態無線資_用技術有關之解決讀,係'基於時 間上之評估。有三種可共用稀少無線資源使符合一些變化 之供需考量的富潛力而基於時間之解決方案係包括:^毫 秒-秒、b)分-時、和〇日.周·月。其毫秒_秒之解決方宰,係 基於臨時性需求·供應之起伏,舉例而言,—網路上之交通 條件和緊㈣件,而«使収分配資源。藉由此-解決 方案’一使用者對—無線資源之控制的需要,係優先於至 他使用者。其建立-通訊鏈路及傳輸資訊之時間間隔,對 資源石差商或與其他使用者之資源交易係屬過短。料日士之 解決方案,係提供其可向其他❹者❹無線f源藉^暫 時滿足其需求之能力。在其網路⑽建立有—清除機構, 以便能夠提昇HLR/BLR和互聯網路中之使用者資料的共用 及特性配置(profUe)的能力’藉以容許資訊能在不同之頻率 下移動。其日-周-月之解決方案,可使彼等無線資源業ς, 能就-些特定之事件’諸如討論會和大會,遥商重複使用 彼等無線資源。在該事件出現之前’其配線和其他網路元 件係已被建立好。 參照第3圖 其中係顯示第2圖用 以建立無線資源利用 13 200401572 鍵路的軟體之運作的流程圖。首先,此軟體會 、、則、所、哀境Μ源資料,舉例而言,所感測、所預 二Γ:或所儲存之資料’以及此-資料係在-運作 5 pi ^進錢體舰频2在其軟料作22中, :㈣資源’將會基於一些通訊鍵路之建立而加以分 跋此:分析可基於某些準則使該資源聚合成組一通訊 了…頻帶、時槽、功率位準、或其 ίο 15 20 隼到的十對彼等未被利用或未充份利用之無線資源所收 :定波錢與—網路t之其他鄰近節點共用,藉以 網路1寺u鍵路之建立有關的最佳資源利用。基於與― .中之其他鄰近節點的錢,上述之軟 :決定出其運作辦最符合上述鏈路準則,舉例而言: :功革位準、Q0S等之無線資源。緊接決定出其利 =通賴路之無其運作辦之軟體 ==傳送給其無線電單元㈣便依需: — L ?彻或未充份利用之無線資源,藉以建立 —使用者傳送資訊所需之通訊鏈路。在上述軟態適性模扭 0之運作30中,所接收之回授資訊,係有關該等通气之有 7和高效率性。在運作32中’其與先前之通訊有關的資 讯回授,會被合併進其分析運作22内’以便更佳地出 彼寺未來通訊鏈路有關之無線電資源利用。 茶照第4圖,其中係例示第3圖之適性模組20有關之加 構、玄等無線貧源,係基於功率位準、頻率 '和時間,由 】4 200401572 —感測器34來加以評估,以便識別彼等可用之資源或不可 用之貧源。此—資料係使傳送至一預測器36,藉以輸出一 頻率/時間分析,給一頻道合成器38。此頻道合成器%, 除有關改變一些類似所觀察到之頻道Q〇s等的環境條件 5之回彳又外,亦會接收到—些有關無線資源和環境因數之資 Λ。邊頻道合成器38,將會輪出一些頻道之頻率和時間, 給一最佳化器40 ’其係與一些鄰近之單元幻互通,以及可 接收來自—待決資訊仵列44之輸入。上述之最佳化器4〇, 將會輸出-專屬//隨機存取頻道列表46,使輕合至—先行 1〇分配器48和—當前頻道分配器50。該先行分配器48,亦會 接收到來自上述待決資訊件列44之資料,諸如平均/尖峰 而求貝、和目標。上述之先行分配器48,將會響 應而輪出些供未來使用之特定時間/頻率觀測請求。上 述之當前頻道分配器5〇,亦會接收到—觀測到而有關輸入 15 j運之傳輪’以及會將—些包括訊息、頻率有關之頻道頻 見波开/电力、和调變等傳送指令,輸出給上述之無線 電機組16。 ‘ 20 上之術6吾軟態”,係指稱其控制系統之適性能力, 藉以包括軸H(料,—些憾合之“減所形成的頻 運)有關0重選項’直至«終之分配完成為止。有些回 授取,之㈣迴路被納人,藉以在適應期間提供某種程度 之控制。此等使_知(亦即,對綱空白頻段之覺察和空200401572 (1) Description of the invention: [Po ~ ming belongs to ^ _technical field ^] Field of the invention The present invention relates to some adaptive radio communications, and specifically to the appropriate use of 5 or more available wireless resources. BACKGROUND OF THE INVENTION The shortage of resources associated with the use of electromagnetic spectrum (such as bandwidth) can adversely affect the use of new communications applications by existing and new enterprises (including service providers). As an example, the bandwidth requirements associated with a new communication application that an enterprise wants to use may exceed one or more of the electromagnetic spectrum resources that the enterprise has allocated. The rate at which some new communications applications are being used has exceeded the capabilities of many government agencies responsible for monitoring the use of the electromagnetic spectrum to properly evaluate the new communications applications. Some of the currently recognized 15 procedures are usually time-consuming and costly, and they tend to serve larger enterprises rather than smaller ones, which will put smaller companies in a disadvantaged position. . The currently used electromagnetic spectrum allows data to be transmitted at frequencies between approximately 200 KHz and 1.5 MHz at a rate between approximately 19.2 and 48 Kbps. Many current protocols on radio communications use time division multiple access (TDMA) 'code division multiple access (CDMA), or circuit-switched technology. Some user terminals (such as mobile phones) can operate in a simplex mode, duplex mode, or triplex mode depending on their user communication application. A radio communication can be restricted to a regional or national scope, 200401572 and some exclusive sections of the spectrum supporting radio communication. The above-mentioned electromagnetic frequency is often used [Ming Nai] Summary of the invention A specific embodiment of the present invention _ traditional disadvantages and problems of telecommunications. Light-Tongguan Wireless In the invention-practice _,-_ technical methods' include monitoring. ,,,,,,,,,,,,,,, and ,,,,,,,,,,,,,,,,,,,,,,,-,-,-,-,-,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, necessary, just yet, and other communication resources; and 10 15 Quandian Communication Resources. Using μ μ data, it will be possible to make 4 or more of this wire communication resources available at the end of the next day—or more blank frequency bands. -The white space is an opportunity for radio communications, one of which may be allocated to-or more-radio communication resources of users, which are temporarily used for radio communication by one or more second users. There are some blank · Prediction data that can be generated and the use of such ㉔-band prediction data ^ can be synthesized-or more radio communication channels from one or more of the predicted blank frequency bands. Some channel synthesis data can be generated, and some reflection feedback data from radio communications attempts of one or more A and some data reflecting one or more network conditions will be received. Based on the received data and channel synthesis data, there will be one or more specific radio communication channels selected from one or more synthesized radio communication channels. There are some radio communication channel materials that can be generated and the use of such radio communication channel selection information can instruct a radio unit to communicate using the one or more selected radio communication channels. After the communication is completed, the radio unit will be instructed to interrupt the use of the one or more selected radio communication channels. 20 200401572 A specific embodiment of the present invention provides one or more specific embodiments that can enhance—or more limited—the use of electromagnetic spectrum wireless resources (such as time slots, power, _, ..., or other codes). Among these specific radio frequencies, 'one or more underutilized radio resources (including radio resources)' can be used to provide-or radio links required by multiple users . Some specific embodiments' may increase the use of wireless resources by the communication system (such as an end-user device, a base station, or an access point). In some specific embodiments: the fully utilized wireless resources-or more underutilized portions-will be identified and subsequently used as needed to build-or more necessary for the face -Or more A-line electrical links. / This 4 ± user's…, π link. In some specific embodiments, some specific frequency bands are controlled intelligently, and some wireless resources are monitored using a multi-dimensional, evening program. 15. In the "purely defined reality", some underutilized wireless resources are grouped in order to establish some wireless links between two users or between a device and an infrastructure point. In the specific case, for example, two persons can decide each other «and = the appropriate part of the line poverty source-or more, in order to establish some effective and efficient = wireless links. In some In a specific embodiment, there are some wireless links that can be monitored to further increase the effectiveness and efficiency of establishing wireless links in the future. Certain specific embodiments can be used in the US Department of Defense (DOD ) Communication applications and «Communications applications-in the generation of wireless devices. Some specific embodiments may be based on the availability of these wireless resources, and may be based on one or more specifics of one or more users. Requirements, and one or more wireless resources can be appropriately used, which can enable a high rate and high quality of service (QoS) radio communication in a variety of different conditions. Some specific embodiments may provide a Wireless area network (WLAN), mobile phones, and 5 other radio systems use multi-spectrum, broadband software radio solutions that can be used as a low-cost alternative to specific networks that do not provide overall flexibility. Some specific implementations For example, a cost-effective radio system can be provided in both DoD and commercial environments. In some specific embodiments, one or more 10 underutilized portions of one or more wireless resources will be Be identified, and subsequently stimulated as needed, to establish one or more radio links required for one or more users to transmit information. After their information transmission has been completed, these one or more The radio resource can be de-excited in order to allow one or more other users to motivate the one or more radio resources. In some specific embodiment 15, there are some flexible resource management techniques that are used with one or more Many specific network capabilities are combined with one or more network elements. In some specific embodiments, there are more interdependencies that are established in their network elements to improve A larger network covers the area and range. In some specific embodiments, an authentication center can confirm a user's attempt to access a network, 20 and can provide one or more wireless links subsequently To this user. Some specific embodiments use some effective and efficient proxy technology to facilitate their communication applications and resource utilization based on demand. Some specific embodiments are based on a method to communicate specific information (such as (Voice data, e-mail data, or web page data) to enable 9 200401572 to use one or more of the above-mentioned electromagnetic spectrum to improve their shortage of electromagnetic spectrum resources. This will facilitate the use of new services and communications Application. Certain special embodiments can be used to ensure one or more services to a certain extent. Only when necessary can they use-or more limited electromagnetic spectrum resources (and abandon this when they are not needed). Wait-or more limited use of electromagnetic spectrum resources), so that smaller companies can provide more services. Some specific embodiments provide some flexible wireless spectrum management technology, which can increase the use of wireless resources by wireless network components. In a certain aspect, some certification centers can be easily used by Access, borrow, pass. The fL application provider and a communication application user make sure u and i, or wireless links. In some specific embodiments, some non-source systems are dynamically implemented to allow expansion of base stations for some communication applications. The drawings are briefly explained 15 20. In order to provide a more complete understanding of the present invention and its features and advantages, the following description will refer to the attached drawings, of which: Figure 1 is an incentive-unbroken or uncharged The use of wireless negative sources to build a four-wire radio frequency legend; two U-link radio communication system schematic information "=: can be enhanced-some unused or underutilized wireless shell source is related to the use of Functional illustrations of the software adaptation technology · Functional method of the sexual method The soft state (capable illustration; Figure 4 illustrates an example of the dynamic wireless resource utilization according to the invention 10 200401572 technology shown in Figure 2) Method and system block diagrams, Figures 5A to 5E are exemplary DpA functionalities; Figure 6 is a block diagram of the predictor in Figure 4; Figure 7 is a channel combination based on some predicted blank band characteristics 5 and the optimized legend; Figure 8 is a block diagram of the closed-loop structure of the optimizer of Figure 4; Figure 9 is a legend of the f-mesa accessor packaged according to the present invention 10 15 Figure 10—the adapter that can display Figure 4 A block diagram of the multi-modal multi-user MAC functionality; and Figure U is a-instantiable-flowchart of the algorithm used to illustrate the operation of the 100k-ahead distributor in Figure 4 C implementation] Detailed description of the preferred embodiment * Referring to Figure 1, this radio communication system includes some mobile phone terminals 10, which can be identified on the program Lai Cha Unused or underutilized wireless resources, so as to establish a communication link between the outgoing mobile phone terminal and other network elements such as the router 12 and the base station 14. Each hotline terminal 10 can take measures It is hoped that the soil and the wood will be unused or underutilized, and will be used to establish a communication link with the target device. In addition, each radio component is In terms of programming, — a reverse private sequence is set up, hunting from a poor organizer, Tu Da Shi —, s > ^ # into a communication link, in order to facilitate a communication link or more of the communication network Access to the radio customer building (pr⑽㈣set, ', ~ machine 1 () can be-mobile phone' Or-A customer can be provided with a spare 20 200401572 (CPE) device. One piece of information can use one or more radio links between two terminals 10, between a terminal 10 and a router 12, and at a The terminal communicates with a base station 14. One piece of information can use one or more wired (which may include optical) links to communicate between the two routers 12, and between the two base stations 5 14. The above information The communication terminal 10 can use a soft-adaptive technology (more fully described below) to search for one to one target device (which may be another terminal 10, a router 12, or a base station 14). ) Underutilized radio resources required by the radio link. The above-mentioned information communication terminal 10 can use a reverse procedure (described more fully below 10), and can use one or more underutilized wireless resources and soft-adaptive technology to establish a radio chain The final part of the road. Generally, the above-mentioned radio communication system similar to the example illustrated in FIG. 1 operates at a data transmission rate of 20 Mbps to 1 Gbps with a channel bandwidth greater than 5 MHz. This system operates in a multi-protocol 15 integration mode using packet exchange and is based on IP. Each mobile phone terminal 10 belongs to some multi-modal adaptive units, and they can share some wireless resources for global communication according to an application requirement. Referring to FIG. 2, the example illustrates the software inherent in each wireless terminal 10, which functions to establish a communication link to other wireless terminals through a wireless 20 motor unit 16 which is a part of the wireless terminal. road. This software can identify and determine unused or underutilized wireless resources available in its environment. This is a dynamic allocation method and uses some intelligent radio units 16 to enhance the DSP processing capabilities in a communication network and some wireless terminals. When identifying an unused or inadequate source 12 200401572, the software is functionally optional—a possible spectrum resource to be used for transmission and reception. The identification part selected by the software for the above-mentioned wireless resources will be configured with the above-mentioned radio unit 16 to establish a communication link. -The feedback information can be received from the network in response to previous communication attempts, thereby further identifying and deciding whether or not the county has been underutilized or underutilized wireless resources. Of 10 15 20-Dynamic wireless information _ use technology related solutions read, is based on time evaluation. There are three types of time-based solutions that can share scarce wireless resources to meet some of the changing supply-demand considerations: ^ milliseconds-seconds, b) minutes-hours, and zero-day-week-month. The resolution of milliseconds and seconds is based on temporary fluctuations in demand and supply. For example,-traffic conditions and constraints on the Internet, and «use and allocate resources. By this-solution'-the need for a user to control the wireless resources is prioritized to other users. The time interval between the establishment of the communication link and the transmission of information is too short for the resource stone quotient or the resource transaction with other users. The solution is expected to provide its ability to borrow from other sources, wireless sources, and temporarily meet its needs. A clearing mechanism has been established in its network so as to enhance the ability to share user data and profile (profUe) in HLR / BLR and Internet channels, thereby allowing information to move at different frequencies. The day-week-month solution can enable their wireless resource industries to re-use their wireless resources for specific events such as seminars and conferences. Prior to this incident, its wiring and other network components were established. Refer to Figure 3 which shows the flow chart of the operation of the software used in Figure 2 to establish wireless resource utilization. First of all, this software will, source, source, and grief M source data, for example, the sensed, predicted two Γ: or stored data 'and this-data is in-operation 5 pi ^ into the money body ship Frequency 2 In its soft material 22, "2Resources" will be divided based on the establishment of some communication links. Analysis: This resource can be aggregated into a group of communications based on certain criteria ... band, time slot, Power level, or its 15 or 20 pairs of unused or underutilized wireless resources: fixed wave money is shared with other neighboring nodes of the network, so that the network 1 The establishment of bonds is related to the best use of resources. Based on the money with other neighboring nodes, the above-mentioned soft: decided that its operation office best meets the above-mentioned link criteria, for example: wireless resources such as power level, Q0S, etc. Immediately decide on the benefits = software that runs on the road without its own operation = = transmits to its radio unit, and then as required: — L or completely or underutilized wireless resources to establish — user transmission information Required communication link. In operation 30 of the above-mentioned soft state adaptive mode 0, the feedback information received is related to such ventilation and has high efficiency. In operation 32, 'the information feedback related to the previous communication will be merged into its analysis operation 22' in order to better use the radio resources related to the future communication link of the temple. Figure 4 of the tea, which illustrates the wireless poor sources such as structure and mystery related to the adaptability module 20 of Figure 3, based on the power level, frequency, and time. Assessments to identify their available resources or unavailable sources of poverty. This data is transmitted to a predictor 36, whereby a frequency / time analysis is output to a channel synthesizer 38. This channel synthesizer%, in addition to changing the environmental conditions 5 similar to the observed channel Q0s and so on, will also receive some information about wireless resources and environmental factors. The side channel synthesizer 38 will round out the frequencies and times of some channels, give an optimizer 40 'which is interoperable with some neighboring units, and can receive input from the pending information queue 44. The above-mentioned optimizer 40 will output the -exclusive // random access channel list 46, so that the light-to-the-first 10 distributor 48 and the current channel distributor 50 will be closed. The look-ahead distributor 48 will also receive information from the above-mentioned pending information item 44 such as average / spike seeking, and target. The above-mentioned advance distributor 48 will respond to specific time / frequency observation requests for future use. The above-mentioned current channel distributor 50 will also receive—observed and related to the input of 15 j. The transmission wheel ’and will — some information including frequency, frequency-related channels, such as wave on / power, and modulation and other transmissions. The command is output to the radio unit 16 described above. '20 on the 6th soft state 'refers to the adaptive ability of its control system, thereby including the axis H (material, some unfortunate "minus the frequency of the formation of the traffic) related 0 heavy options' until« final allocation So far. In some cases, the feedback loop is incorporated to provide some level of control during adaptation. These enablers to know (that is, the awareness and
白頻段之行為)和款能fB 敉心(亦即,在一些開啟及關閉之空白頻段 間移動通訊的能力,而非在整個通訊中被固定至唯—之空 15 200401572 白頻段)之技術,將可促成一動態頻譜利用之完成。本發明 之方法,係使用一些類似τν信號、資料鏈、和雷達等之通 訊系統和感測器系統所呈現的頻譜機會。 該等認知(Cognitive)、對動態頻譜利用之軟態解決方案 5 (Softstate Approach to Dynamic Spectrum Utilization),係包 括下列諸部分: 1) 基於所感測和特性化之資料,來預測未使用之頻譜 空白頻段。此一對頻譜行為之覺察,係標記此一運作為認 知(Cognitive)之基礎。 2) 將該等空白頻段合成為一些可供通訊用之頻道。此 一與下文之表佳化(Optimization)和分配(Assignment)元件 相結合的元件,係構成上述之適性軟態(Adaptive Softstate) 〇 15 20White-band behavior) and the ability to focus on fB (that is, the ability to move communications between some open and closed blank frequency bands, rather than being fixed to the only space in the entire communication 15-2004-01572 white band), This will facilitate the completion of a dynamic spectrum utilization. The method of the present invention uses the spectrum opportunities presented by communication systems and sensor systems like τν signals, data chains, and radars. The Cognitive, Softstate Approach to Dynamic Spectrum Utilization 5 includes the following parts: 1) Prediction of unused spectrum gaps based on the sensed and characterized data Frequency band. The awareness of this pair of spectrum behaviors marks this operation as the basis of awareness. 2) Synthesize these blank frequency bands into some channels available for communication. This component, which is combined with the optimization and assignment components below, constitutes the above-mentioned Adaptive Softstate. 15 20
3) 藉由使該等所需之訊息和資源,映射至其頻道可用 性,而使彼等頰道最佳化。 4) 分配該等可供通訊用之頻道。3) Optimize their buccal channels by mapping the required information and resources to their channel availability. 4) Allocate these channels available for communication.
5) 基於一些成功/未成功之通訊,使彼等資源移動至 新的合成頻道,而動態地調適(Dynarnically adapting)所表現 之父通、頻譜環境、和網路條件中的改變。5) Based on some successful / unsuccessful communications, move their resources to a new synthetic channel, and dynamically adapt the changes in parental communication, spectrum environment, and network conditions.
SpeCir_ C〇gniti〇n(頻譜認知)與Adaptive Softstates(適 性軟態)之結合 將可增加其頻諸和無線資源之效率 此一 實施例係包括: •兩個可就提供其頻譜動態中較高程度之 adaptability(適應性)的連續回授之控制迴路(侠速和慢速)。 16 200401572 ίο 15 20 A决速之^應財’係出現於空白頻段對纽之分配及 麟的合成期間(例如,由於衝突或不良頻道條件而使訊息 =之^况h而其較慢速之適應程序,係出現於最佳化之 ^又(例《排除—些似何被接受但在實際傳輸期間證實 )有問題之頻譜空白頻段的使用)。 一颂S衣"1兄和使用無線資源和頻譜之衝擊的覺察(認 知),藉以增加其系統的動態(dynamic;)性質。 ▼ 之㈣#作和潛耗速地利關譜和資源之 運作(適性軟態)。 、 i藉由提供“健„源和親之Μ ^當前之條件分配空白健(適性«)·速地在空白 頻段頻譜間之移動。 仕二曰 方^弟4圖’上述認知敕態(Cognitive S〇ftstate)之解決一係包括兩個主要區塊。其第-部分,預列哭36將 會基於1减測/牲卜4儿 力預測益36,將 資料,來性化功能34所提供之感測/特性化頻譜 、迎二頻瑨空白頻段。此預測器36係使用一些 邊.、本地環境中之頻 白頻段的行為。此係、知、"錢之頻譜空 察之特性。第二部分,適配找,可將彼等預測 可適用作彼耸、… —…泉貝源和通_,以及 用作彼寺通訊改變之元件。此適配器52,可使〆、預測器36之資料,來決定豆次 空 、疋八/、有無、,泉貝源之最佳效用的 無線Z,效率的映射。該適配器係尋求彼等貝…頻邊貝源兩者之最小浪費,同時確保該等通訊The combination of SpeCir_ C〇gniti〇n and Adaptive Softstates will increase the efficiency of its frequency and wireless resources. This embodiment includes: • Two can provide higher spectrum dynamics Continuous feedback control loop (chival speed and slow speed) of degree of adaptability. 16 200401572 ίο 15 20 A speed-determined ^ Accounting 'appears during the allocation of blank bands to the button and the synthesis of the link (for example, due to conflict or poor channel conditions, the message = ^ condition h and its slower speed Adaptation procedures are those that occur during optimization (for example, "exclusion—some seem to be accepted but confirmed during actual transmission) the use of problematic blank frequency bands). Yisong Syi's use of wireless resources and the impact of spectrum (awareness) to increase the dynamic nature of his system. ▼ 之 ㈣ # Works and potential consumption quickly benefit the operation of spectrum and resources (adaptive soft state). , I By assigning "Jian„ source and pro-M ^ the current conditions to assign blank Jian (adequacy «) · quickly move between blank band spectrum. “Second, Fang Xiaodi 4 Figures” The above-mentioned Cognitive State (Cognitive State) solution consists of two main blocks. In the first part, the predictive cry 36 will predict the benefit 36 based on 1 minus test / 4 predictions, and will use the data to analyze / characterize the spectrum provided by the function 34, and welcome the second frequency and blank frequency band. This predictor 36 uses some edge, white frequency band behavior in the local environment. This is the characteristic of the spectrum survey of money. The second part, adapting to find, can make their predictions applicable to other towers,… — Quanbeiyuan and Tong_, and used as the element of communication change in that temple. This adapter 52 can use the data of 〆 and predictor 36 to determine the efficiency of the wireless Z, which is the most effective of the Zanji space, 疋 疋, 有, 无, 泉, and 泉. The adapter seeks to minimize the waste of both their ... frequency-side sources, while ensuring such communications
17 200401572 月b在正萑之蚪框和Q〇S參數内被完成。此一語境中之, 係論及-使用者需要之性能量度,諸如位元誤差率、頻道 可用性、和潛時。上述之適配器52,亦負責很快地決定出 所通5fl之況息的成功^/失敗和為"因應,,重新傳輸之改變策 5略(依據頻T、功率位準、時槽、通訊碼、等等)。此係被稱 為就可#之通讯以多重為最佳之頻譜使用而加以考慮的 (軟式)进項來加以運用及以最有效率之方式加以重新運用 的適性軟態無線資源(Adaptive Softstate -radio resources)。 此解決方案係充分理解到,其將會搜尋出及運用到彼等通 10訊和感測器系統兩者所呈現之頻譜機會。彼等τν信號、資 料鏈、和雷達中所存在之空白頻段,將會被使用以因應通 訊之用。 上述之適應過程,係透過一可對環境中或通訊中之動 態改變提供較佳的控制和反應之2 _迴路的回授結構之使 35用,來加以提昇。其一迴路-快速控制迴路,可容許快速因 應而改變彼等之頻譜條件(例如’所分配之使用者的突然出 現、嚴重之頻道衰退)和資源對頻譜空白頻段之較佳映射。 其另一迴路-慢速控制迴路,可在一較慢速之步調下,使一 些顯著之改變合併進其頻譜行為或資源利用中(例如,消除 某些有問4之L白頻段,廢止一些較專屬性之空白頻段, 使用不同之調變技術)’來增加其系統效率,以及使其保持 %疋。上述Cognitive Softstate Approach(認知軟態解決方案) 中之Prediction(預測)與Adaptation(適應)的功能性組合,亦 破稱為Dynamic—Predictor Adaptor (DPA)(動態預測器適配 18 200401572 器)。上述之術語,,空白頻段”’係指稱彼等未被分配到之使 用者使用到及未被分配到之制者感㈣有衝突或㈣要 干擾而可破其他使用者使用的頻譜機會(料、時槽、通訊 馬力率位準)。理應注意的是,某些使用者或許可在某些 干k下工作正常,特別是假使該干擾係低於某一定之位 準’舉例而言,在CDMA系統中。 10 】5 20 上迷之DPA,係採用-階層式_控制_架構(第4圖),來 做頻譜之分配和利用。其架構係、具有兩個主要區塊_預測器 36和適配||52。其制㈣在魏上可連續查尋彼等特性 ,之空白頻段,以及可預測彼等進人未來之行為。其適配 器52係具有三個分開之功能_合.力能%、最佳化功能仙、 和分配功能48、50。 其合成器功能3 8,係負責將該等預測之空白頻段(例 如,帶、時槽、通綱),組合成„些通訊頻道。彼等頻 通係由-些符合某些準則(例如,Q〇s級別、等等)之單一或 多重空白難賴成。其最佳化㈣,係藉由查尋QoS級 別、有關先前之企圖的回授、外在無線電條件、和與近鄰 之協週,來決定其最佳之頻道組。該等分配器48、50,可 處理此最佳之頻道組對彼#訊息和無線資源(波形、調變、 通訊碼:等等)的映射。其適配器52中用以自一些空白頻段 建立頻運、使彼等頻道映射至一些訊息和無線資源所需要 之决策It序’係使用一多模型決策層來加以貫徹。為傳送 —些簡明及封裝緊密之訊息’有—間位存取傳輸方法被利 用此間位存取傳輸方法,將會容許在彼等頻語和無線電 19 200401572 資源之最佳效用下,在網路中之節點間,做訊息資訊之迅 速交換。其整個程序係屬動態性,因為其係連續使用回授, 而結合一些來自彼等感測-特性化元件之環境資料,來決定 如何更有效率地使用該等頻譜空白頻段。 5 其適配器52内之階層式控制結構,可對改變通訊需求 提供急速之響應,同時維持該網路中之穩定度。上述之慢 速控制迴路(層次1-慢速迴路或外圈迴路控制器),將會監控 及更新彼等可供上述特定節點使用之頻道的列表,以及可 基於Q 〇 S和資料容量之需求,緩慢地改變一些專屬性相對隨 10 機存取式頻道之分配。上述之慢速迴路將可確認出,彼等 惡化之頻道條件,在此等頻道被捨棄之前,係業已顯示出 某種重覆性。再次地藉由在動作前等待較長之時段,其將 有助於使其系統保持穩定。上述之快速控制迴路(層次2-快 速迴路或内圈迴路分配器),將會使用上述之回授訊息,快 15 速地透過彼等信號參數和訊息封包之修飾,來適應彼等頻 道行為中之改變。該等層次1和層次2迴路之時框,在標稱 上分別為1秒和10毫秒。此等時框係基於快速適應之需要同 時確保其系統能保持穩定,而被選定作為一些範例。藉由 使上述快速迴路有關之時框保持很小(例如,10毫秒),上述 20 之DPA,將可能使一空白頻段之效用為極大,使其無線資 源之浪費為極小,使其潛時為極小、以及避免彼等未被傳 送之訊息不必要的刪除。另一方面,當彼等條件業已改變 充分,以及其准許該等頻道之合成和最佳化的結構中之改 變時,上述之慢速控制迴路(例如,1秒),將僅需要合併彼 20 200401572 等改,艾。此-日寸框係更仰賴於輸人交通中之 用者之移動。 彼寺頻道之分西?,'0T ·Ατ I 1丄μ 配 了獨立地或與其他節點協同出現。 該等最純⑽和分配器仙、%,將會—起查尋該等預測 ^料、無線賁源、和訊息仔列,以便決定該等 所需要之親,是否可被分配⑽即,其W某些未被使用 ^頻道容量、少數具有良好潛時而供傳送用之資訊、和其 β Γ中不太夕之活動或者決定是否需要與鄰近之節點共 用貧§fl。基於此一领自,々々H?l_ ,1# lo 15 20 δ玄即點將可能在確信其具有超過 足夠之頻道容量而符合其訊息⑽之需求下,決定傳送該訊 息。此係—獨立之分配動作。此特別是當該節點首次出現 在-環境巾_可能情況。若該#環境條件纽變(太多的 漏失訊息、高澡之活動 '較低之親容量),上述之適配哭 將會改變彼轉數,以及將會制回授和—些與近鄰 交換之訊息。在此—事件中,該節點將會使用來自其近鄰 线息,公平地(在任何優先順序之指導方針内)分配彼等頻 逼’以及將會確㈣網財之節點能有某些傳送之機會。 此係被稱作協同性分配。第4圖係表示(在加斜線之淡紐 塊内)’上ι4在其取佳化程料是否應使㈣立性或協同性 模態之決定中所涉及的Multi_User(多使用者)跳 (則MAC)魏性。大體上’ ±狀適配器,可藉由決定其 最佳模態(例如,獨立性、協同性、居巾者)和資源之最佳使 用,來提供對彼等環境條件之動態適應。 第5A至5E圖係例示一範例性DPA之功能性。第5八至还17 200401572 The month b was completed within the frame of the main frame and QOS parameters. In this context, it refers to the performance metrics required by the user, such as bit error rate, channel availability, and latency. The above-mentioned adapter 52 is also responsible for quickly determining the success of the communication 5fl ^ / failure and response. In response, the retransmission change strategy 5 (based on frequency T, power level, time slot, communication code) ,and many more). This is an adaptive soft-state radio resource (Adaptive Softstate- radio resources). This solution fully understands that it will seek out and apply the spectrum opportunities presented by both their communication and sensor systems. The vacant frequency bands present in their τν signals, data chains, and radars will be used for communication purposes. The above-mentioned adaptation process is enhanced through the use of a feedback structure that provides better control and response to dynamic changes in the environment or communication. The first loop, the fast control loop, allows for quick response to change their spectrum conditions (such as the sudden appearance of the assigned user, severe channel degradation) and better mapping of resources to the white space of the spectrum. Its other loop, the slow control loop, can be adjusted at a slower pace to incorporate some significant changes into its spectrum behavior or resource utilization (for example, eliminate some questionable L white bands and abolish some The more specific blank frequency bands use different modulation techniques) to increase their system efficiency and keep them at 100%. The functional combination of Prediction and Adaptation in the above Cognitive Softstate Approach is also called Dynamic-Predictor Adaptor (DPA) (Dynamic Predictor Adaptor 18 200401572). In the above terms, "white space" refers to those who are not allocated to use and those who are not allocated feel that there is a conflict or interference that may break the spectrum opportunities used by other users (data , Time slot, communication horsepower rate level). It should be noted that some users may work normally under certain dry k, especially if the interference is below a certain level 'for example, in In the CDMA system. 10] 5 20 The DPA above uses a -hierarchical_control_architecture (Figure 4) for spectrum allocation and utilization. Its architecture is composed of two main blocks_predictor 36 And adaptation || 52. Its system can continuously search their characteristics, blank frequency bands, and predict their future behavior in Wei. Its adapter 52 has three separate functions_ 合. 力 能%, Optimization function, and allocation function 48, 50. Its synthesizer function 38, is responsible for combining these predicted blank frequency bands (for example, band, time slot, general program) into a number of communication channels. Their communications are made up of single or multiple gaps that meet certain criteria (e.g., QOS level, etc.). Its optimization is determined by searching for the QoS level, feedback on previous attempts, external radio conditions, and coordination with neighbors to determine its optimal channel set. The distributors 48, 50 can handle the mapping of this optimal channel group to other # messages and wireless resources (waveform, modulation, communication code: etc.). The order in the adapter 52 used to establish frequency transport from some blank frequency bands and map their channels to some messages and radio resources is implemented using a multi-model decision layer. For the transmission of some concise and tightly packed messages 'Yes', the meta-access transmission method is used. This meta-access transmission method will allow the best use of their frequency and radio 19 200401572 resources in the network. Quickly exchange information between nodes in the network. The entire procedure is dynamic because it uses continuous feedback and combines some environmental data from their sensing-characterizing components to determine how to use these white space bands more efficiently. 5 The hierarchical control structure in its adapter 52 can provide rapid response to changing communication needs, while maintaining stability in the network. The above-mentioned slow control loop (layer 1-slow loop or outer loop controller) will monitor and update their list of channels available for the specific nodes mentioned above, and may be based on QOS and data capacity requirements , Slowly change some exclusive attributes relative to the allocation of 10 access channels. The aforementioned slow loops will confirm that their deteriorating channel conditions have shown some kind of repeatability before these channels are discarded. Again by waiting a longer period of time before moving, it will help to keep the system stable. The above-mentioned fast control loop (layer 2-fast loop or inner loop circuit distributor) will use the above feedback message to adapt to their channel behaviors at a speed of 15 speeds through the modification of their signal parameters and message packets. The change. The time frames of these level 1 and level 2 loops are nominally 1 second and 10 milliseconds, respectively. These time frames were selected as examples based on the need for rapid adaptation while ensuring that their system remains stable. By keeping the time frame related to the above-mentioned fast loop small (for example, 10 milliseconds), the above-mentioned DPA of 20 may make the utility of a blank frequency band extremely large, make its waste of wireless resources extremely small, and make its latent time as Minimize and avoid unnecessary deletion of their unsent messages. On the other hand, when their conditions have changed sufficiently and changes in their structure that allow the synthesis and optimization of such channels, the above-mentioned slow control loop (e.g., 1 second) will only need to be merged with each other. 200401572 Other changes, Ai. This-sun-inch frame is more dependent on the movement of users in the input traffic. The West of the Temple Channel? , '0T · Ατ I 1 丄 μ is matched to appear independently or in cooperation with other nodes. The purest distributors and distributors,%, will — look up the predictions, wireless sources, and message queues — in order to determine whether the needed relatives can be allocated, that is, their W Some unused channel capacity, a small amount of information with good latency for transmission, and its activities in β Γ or decide whether it is necessary to share the poor with nearby nodes §fl. Based on this, 々々H? L_, 1 # lo 15 20 δ Xuanjidian may decide to transmit the message when it is confident that it has more than enough channel capacity to meet its message⑽. This is an independent distribution action. This is especially the case when the node first appears in the environment. If the #environmental conditions change (too many missing messages, high bathing activities, and lower relative capacity), the above-mentioned adaptation cry will change the number of revolutions, and will give feedback and some exchanges with neighbors Message. In this event, the node will use its neighbors ’interest to distribute their frequencies fairly (within any priority guidelines) and the nodes that will ensure that the network can have certain transmission opportunity. This system is called cooperative distribution. Figure 4 shows (in the lightly shaded block) the “Multi_User” involved in the decision of whether the optimization process should make the stand-up or cooperative mode ( MAC) Wei Xing. In general, '± -shaped adapters can provide dynamic adaptation to their environmental conditions by determining their optimal modalities (e.g., independence, synergy, homeowners) and the optimal use of resources. Figures 5A to 5E illustrate the functionality of an exemplary DPA. 5th to 8th
21 200401572 圖係顯示此DPA用以見到其環境中之空白頻段、將此等空 白頻段合成為-些通訊頻道、最佳化其最佳之頻道组能、 分配空白頻段、以及最後基於通訊之目的使該等頻道:射 至一些訊息和無線資源的方法。在此-圖例中’該等空白 5頻段之2D網格’係顯示上述DpA之機能。第认至5£圖各係 表不25-笔秒之時框。每—網格内之中心暗影方格,係表 不-非使用者在-特定之頻帶和時間内的實際效用。該等 =影方格係-些未被_到之空白頻段,而該等包含大寫 字母之方格,係一些被上述DPA偵測到及預測到者。 10 4便於轉U點係可在— 25-$秒之時框令^貞測 至! %境中的二十個可用頻譜空白頻段。此二十個中有八 個會在其預測器3 6處基於多種理由(例如’過短之時框、過 去之歷史、等等)而被放棄。以及其剩餘之十二個空白頻 段’係被用來組合成-些頻道。上述之合成器38,將會建 立八個頻逼’彼等係由每一頻道兩個空白頻段或每一頻道 1空白頻段(第湖)成。域之最佳化㈣,將會 查尋此等合成之頻道,以及將會決定一些環境條件,使容 許使用所有之六個空白頻段(第5C圖)。有四個空白頻段,21 200401572 The picture shows the DPA used to see the blank frequency bands in its environment, synthesize these blank frequency bands into some communication channels, optimize its best channel group performance, allocate blank frequency bands, and finally the communication-based Purpose To make these channels: a method to shoot some messages and wireless resources. In this illustration, 'the 2D grids of the blank 5 bands' show the function of the above-mentioned DpA. Figures up to £ 5 each show a time frame of 25-pen seconds. The central shadow square in each grid represents the actual utility of non-users in a specific frequency band and time. These = shadow squares-some unused blank frequency bands, and these squares containing capital letters are those detected and predicted by the above DPA. 10 4 Easy to turn U points can be measured at -25- $ seconds to 20 available blank frequency bands in the environment. Eight of these twenty will be abandoned at its predictor 36 for a variety of reasons (e.g., 'too short time frame, past history, etc.). And its remaining twelve blank frequency bands' are used to combine into some channels. The above-mentioned synthesizer 38 will establish eight frequency bands, which are composed of two blank frequency bands per channel or one blank frequency band (first lake) per channel. The optimization of the domain will search for these synthesized channels, and will determine some environmental conditions that allow the use of all six blank bands (Figure 5C). There are four blank bands,
7將會基於彼等之特性首先被使用,以及有兩個將會被用作 20應變備份。彼等應變備份頻道,係有助於適應程序_其前四 有任何個上面之通訊不成功,或有分配到之使用者 出現,則其便會切換至該等應變備份頻道。上述之分配器 8將f使上述之第一訊息映射至兩個空白頻段,以及使 等第—和第二訊息,分別映射至另外兩個空白頻段(第5D 200401572 θ) Λ息一和二之傳輸係屬成功,但訊息三則否,以及上 述之刀配益',因而將會使用一應變備份頻道(第冗圖),使 L應而成功地重新傳送。在此一常式之結束下,將會有五 個頻道成功地被用來進行通訊。在此一時段期間,上述頻 5 I丨兄被该節點見到的,是一個分配到之使用者。 假定一100毫秒時間周期(四個25_毫秒之時框)中,在該 環境中僅有一個和同—之使用者在一分配到之能帶内,以 及此申凊者係可在每25-毫秒之時框中,重複地及成功地使 用二十個空白頻段中的五個,則其頻譜利用因DPA之使用 1〇 所致整體之增加係二十倍。 第5 A圖係例示其預測程序(認知之特徵)。其網格顯示 其評估之頻譜空白頻段將可在次一時框(25毫秒長)中被用 來做傳輪的預測器。每一空白頻段係具有其頻率和時間周 期(例如’ 880 MHz下之20 MHz BW歷時5毫秒)之特性。其 15 他類似功率位準之頻道特性,亦被納入,藉以提供一更大 程度之控制。為簡單計,吾等假定該等空白頻段,本身係 如該網格所示地一再重覆。 第5B圖係例示其合成程序。上述之dpa接著會將彼等 空白頻段合成為一些頻道。此等合成之頻道,係以粗邊線 20 例示在此圖中。此合成器係使彼等空白頻段A&D結合成第 一頻道’以及使B&E結合成第二頻道,同時聽任c、Η、和 I為一些被稱作頻道之個別空白頻段。 第5C圖係例示其最佳化程序(第一軟態階層)。上述dpa 之此一部分,係著眼於利用該等可以極小資源提供最有效 23 200401572 ^通訊的頻道。此環境中之空白頻段的密度和條件,對 化器而言,係輕至以分配所有之頻道給自已。在 ,f取么化常式結束時,其將會決定b&e、h、i為最佳之頻 機百先加以使用’而c#aK若有必要,應被用作隨 .她_細道,使符合彳《Q。咐求。其他之頻 :實例中’並不符合其使用之要求,而係加以捨辛。、 =方格中雙邊線和線之字母,係表示其最佳化之頻 ίο 第5D圖係例示其分配程序(第二軟態階層)。上述之 DPA在通訊上,就楚一印自二丄 以及接著使就第::仏,係使用_空白頻段, =二:$ ’係使_白頻段,以及就第 Α細空白頻段。就針對!所傳送之第三訊息 〇亚”、'回覆被接收,故C會被用來重新傳送訊自,以及 該通訊係屬成功。在此_ 心乂及 15 20 ^女, 方式下,該等12個可用之空白頻 又,5固已被用來在25毫秒之時框中互通訊自。 敗,==其回授程序。-些針對1之傳_複失 二1: 制迴路之回授’以及上述之空白頻段 用B : Η未來因其合成11或最佳化11之考慮而被排除。使 用作;!、和c中之成功’將容許彼等-旦出現,便可被 用作一可就«(_地或與其衫白頻段結合)。 上述之預測器36,將會宣告如何成功地评估並 之頻譜利祕。其係試目以—近似連續之基礎,正石=及 快速地關-無線電彡、财社 間奸頻道之特性。使用—此Μ卜、f S域的空間-時 使用絲自上迷可提供頻谱使用特性7 will be used first based on their characteristics, and two will be used as 20 strain backups. Their emergency backup channels are helpful for the adaptation process. If any of the above four communications are unsuccessful, or there are users assigned to them, they will switch to these emergency backup channels. The distributor 8 described above maps the first message to the two blank frequency bands, and maps the first and second messages to the other two blank frequency bands (5D 200401572 θ). The transmission is successful, but the third message is not, and the above-mentioned knife benefits, so a contingency backup channel (the redundant picture) will be used to make L successfully retransmit. At the end of this routine, five channels will be successfully used for communication. During this period, the above-mentioned frequency is seen by the node as an assigned user. Assume that in a 100 millisecond time period (four time frames of 25 milliseconds), there is only one user in the environment with the same one in the assigned band, and the claimant can -In the millisecond time frame, if five of the twenty blank frequency bands are repeatedly and successfully used, the overall increase in spectrum utilization due to the use of DPA 10 is a twenty-fold increase. Figure 5A illustrates the prediction process (cognitive characteristics). The grid shows that the estimated white space of the spectrum will be used as a predictor of the pass in the next time frame (25 ms long). Each white space is characterized by its frequency and time period (for example, a 20 MHz BW at 880 MHz lasting 5 milliseconds). Other channel characteristics with similar power levels are also included to provide a greater degree of control. For the sake of simplicity, we assume that these blank frequency bands are themselves repeated as shown in the grid. FIG. 5B illustrates the composition procedure. The above dpa will then synthesize their blank frequency bands into some channels. These synthesized channels are exemplified in this figure with thick-edged lines 20. This synthesizer combines their blank frequency bands A & D into a first channel 'and B & E into a second channel, while allowing c, Η, and I to be individual blank frequency bands called channels. Figure 5C illustrates the optimization procedure (first soft state hierarchy). This part of the above dpa focuses on using these resources to provide the most effective channels for communication. The density and conditions of white space in this environment are so light for the chemist to allocate all the channels to himself. At the end of the f-decoration routine, it will decide that b & e, h, and i are the best frequency machines to be used first, and c # aK should be used if necessary. So that it conforms to "Q. Ask. Other frequencies: In the example, ‘does n’t meet the requirements for its use, but is given for remission. , = The letters of the two-sided lines and lines in the square indicate the frequency of optimization. Figure 5D illustrates the allocation procedure (second soft state hierarchy). In communication, the above DPA is printed on the second channel and then the second channel :: 仏, which uses the _blank frequency band, = 2: $ ′ indicates the _white frequency band, and the first Α fine white frequency band. In response to the third message sent by Ya! ", 'Reply was received, so C will be used to resend the message from, and the communication is successful. Here _ 心 乂 and 15 20 ^ 女, in this way, Of these 12 available blank frequencies, 5G has been used to communicate with each other within 25 milliseconds. Failure, == its feedback procedure.-Some pass for 1_Complex 2 1: Control loop The 'feedback' and the above-mentioned blank band use B: Η will be excluded in the future due to its consideration of synthesis 11 or optimization 11. The use of ;;, and the success in 'c' will allow them to appear once they can It is used as a «(ground or combined with the white band of its shirt). The above-mentioned predictor 36 will announce how to successfully evaluate and consolidate the spectrum secrets. Its purpose is to approximate the continuous basis, Zheng Shi = And quickly turn off-the characteristics of the radio channel, the channel between financial institutions. Use-this Mb, f S domain space-the use of silk from the fans can provide spectrum usage characteristics
24 200401572 之感測暨特性化功能34的輸入,其將可評估未來之頻譜使 用。彼等空白頻段之預測,係在通訊和RF感測器兩者中曰所 用之頻譜中,和一些類似7¥、軍事通訊、資料鍵、手機、 和雷達等信號中,加以完成。其分配給雷達之頻譜,在大 5地理區域中,可能完全来被使用。此外,一些典型掃描式 或脈波式雷達,在其運作之頻率範圍内,係具有短的工作 周期和大的時間性空白頻段。此等空白頻段,可在某種程 f之信心下就傳輪加以預測及利用。當使用雷達頻譜上和 #間上之空白頻段,該等顯著之側瓣/背瓣的效應,將會 10破考慮’藉以確保此等側瓣/背瓣中之功率,不會自資料 傳輸取出。 ' ± 一頻譜利用係—時間'頻率、和位置之函數。在任一 時間上之實例中,一單„使用者,將會在某—定頻寬和令 :頻率下傳輸-信號。此信號將會依據當地之傳播條件, 15隨著離其來源之距離而衰減。因此,在一空間中之特定位 置處’在其時間-頻率维度卜將會存在不同之功率位準。 彼等硯測係被分成一些可依據某些測定基準組(例如,功率 位:、工作周期、等等)被分類為或屬已佔用或屬可用之時 ,間集器。其觀測到之能量,係藉由掃描上述就其特定之取 Μ樣周期所界定的頻寬,而就每一集器加以計算。此-功率 ^準係使與—特定之功率位準臨界值相此較,以及其整個 則頻寬’係被分類為就其取樣期間而言或屬”已佔用"或 并可用。此一程序係代表其第一程序,而選擇一些空白 、心彼等接著較合成為—些可供信號賴狀頻道。 25 200401572 參照第6圖,上述被感測及被特性化之觀測頻譜效用, 係在點A處使饋進其預測器36内。接著上述觀測到之B頻譜空 白頻段的分類,在完成上可決定其行為在性質上是否屬確 定性、隨機性、或混合式。基於上述之分類,上述觀測到 之空白頻段資料,係使饋送進其適當之模型類型内。此模 型類型可使-些能更完全地說明其波形之特性的特定參數 (例如,工作周期、幅度、等等),在點6處被選取,以及使 饋送進-序列評估器内。此序列評估器,將會基於一些過 去之觀測,預測該波形在一段未來之即定時程内的行為。 此產生之評估序列,和其評估中之信心量度,係就每一模 型在點C處被產生。理應注意的是,就某些分類模型而言,、 其參數選取階段將會被跳過,以利直接之序列評估。該等 不同^評估序列和信心指示值,係使饋送進一模型選擇器 内’藉以在點D處在該頻道中產生上述預測之時間間隙^ ,上述之預測器36,將會集中在識別不同之預測模型類 型,就不同之基本頻道效用特性,來評估預測之準確度,、 識別適當之信心估斗伯,B , 依彳值,以及開發出一可選擇適當之模型 的方法。㈣預顧型(模型類型)之義係包括如下: fI單之f貝性式”技術,彼等可追縱至少數秒之時標 中的頻道則率之卫作周期,以及假定”-使財之頻_ ㈣在使用中”’和”一靜止頻道係傾向於停留在靜 止:° 一早一可調式參數下之指數式衰減,在此係-簡單 之範例,其可被用來做一時間間隙之預測。 -些在某些時標中假定周期性頻譜效用以便容許頻 26 200401572 譜共用之周期性技術。此可適用之一範例,係有關—地面 站方位掃瞄雷達。 些其中之頻瑨可用性時間數列經數位濾波以選取 -些可被用來賴未來值之關鍵參數的濾波器式技術。時 5 t或日XT框率和子諧波’將可與此_模型類型充分匹配。 •-些業已被絲基於過去之朗而成功地預測複時 間數列的未來值之時_咖射法。複扣祖分配之時 槽’可使用此一模型來加以追縱。 •-些其中有關頻鄉狀和/或頻寬之訊息被用來強 】〇化有關頻譜可用性之改變率的預測值和評估信心之頻譜技 術。此在頻譜改變有較佳之瞭解的情況中係特财用。丁 v 頻逼頻譜可使用此-技術做最佳之預測(在某種不定之限 度)。 迷預測态36之性能,係可基於將彼等間隙 15 20 /刀類成”衝突”(亦即’不存在預測之間隙)和"誤失機會,, (亦即,疏於預測出可用之空白頻段)之觀念。由於其主 要之目的’旨在極大化其頻譜之❹,同時極小化對現有 之頻讀使用者的衝擊,彼等衝突和誤失機會,需要彼此做 :折衷選擇。騎估上述模型之性能,彼f衝突和誤失機 會之相似性,係需要對廣範圍之時間_賴行為做測量。彼 等信心評估值在發展上,係基於對每—模型之假設所觀測 到之’’吻合度.',(例如,就—周期性模型而言,其間隙長声 確有變化)與彼等衝突/誤域會性能之測 : 彼等信心評估將會依據頻道 ,,口 豕肩迫j用性事先被預測之久遠程度 27 200401572 而呈單調性之降低。 彼等預測技術,將會企圖合併長期和短期之頻譜效用 歷史,藉以提昇模型預測之準確度,以及減少其計算上之 負荷。當其中少有頻道效用訊息可供利用時,諸如在其起 5始期間,其將需要多重模型類型’來特性化其頻譜間隙之 行為。隨著有更多之頻道訊息可供利用,僅有一些特定類 型之核型’需要被用來容許更快收歛至彼等正確之特性。 此一分析方法,將會評估不同類別之間隙預測演算法的效 用,以及將會提供不同頻道效用特性有關之信心評估,以 10 便做模型之選擇。 ' ,v ^ px, vil ur Λ 15 20 之核心。參照第7圖’此—組件之主要角色,係將該等預測 之空白頻段,封裝成—些可被用作通訊之頻道,以及接著 將此等頻道最佳化成-些專屬式、隨機存取型、或拼合式, 藉以動態地符合該等預期之通訊需求。上述之最佳化哭 4〇’亦可㈣商之㈣作出決定_獨立性或需要與該網 之近鄰-起完成的協同性,藉以得到最佳之資源效用。彼 等要做通顧之訊息的«,在完成上係使關位存取傳 輸(Meta-Access Transmissi〇n)方法,同時決定一獨立性運作 或-舆友善使用者之協同性運作’需要有何種條件由 MUMAC(多使用者MAC)來完成。上述之…%、•係表 示上述DPA之基本適應引擎。 v 上述之預測器36,將會提供—空白頻段列表,彼等久 係由-特定之頻率、頻寬、和時間量度來指明。因此二 •:>4 28 200401572 頻譜空白頻段,係由一900 MHz頻譜(900-910 MHz)内之l〇 MHz頻覓所構成,其在一 毫秒之時框中,係有毫秒未 上係透過一樣式匹配程序_搜尋某一 資源的特定組合,以及係出現在一 3 被使用,以及有另外90毫秒被一些分配之使用者所占用。 上述之時間量度,係自一純粹確定性(例如,次一空白頻段 5之特定起始點時間和時寬)變化至一純粹隨機性(例如,空白 頻段被預期之出現率,一空白頻段被預期之最短時寬)。彼 等拼合式可提供一些中間之選項(例如,特定之起始點時 間’和若有衝突之依次讓步)。上述之頻道合成器%,可將 此等個別鮮酬值,封裝成—些頻道制值_彼等係包括 10 一要被使用之頻率列表(例如,序列式、同步式、混人式)、 每一頻道中所使用之頻寬、和相關之時間機會。此在完成 的樣式中。—些特定之無線電容量和先驗和/或所觀察之 %境因素,係被用來合成一些可用之頻道列表。此外,上 述之合成器38,務必要適應(^之需求,和透過不同頻道上24 200401572 The input of the sensing and characterization function 34, which will be able to evaluate future spectrum usage. The prediction of their blank frequency bands is completed in the spectrum used in both communications and RF sensors, and in signals such as 7 ¥, military communications, data keys, mobile phones, and radars. The spectrum allocated to the radar may be completely used in large 5 geographic areas. In addition, some typical scanning or pulse wave radars have short duty cycles and large time-based blanking bands within the frequency range in which they operate. These blank frequency bands can be predicted and used on the pass with certain confidence. When using the white space between the radar spectrum and the # space, these significant side lobe / back lobe effects will be completely considered to ensure that the power in these side lobe / back lobe will not be taken out from the data transmission. . '± a spectrum utilization system—time' as a function of frequency and position. In any instance at any time, a single user will transmit a signal at a certain fixed bandwidth and order: frequency. This signal will be based on local propagation conditions, 15 as the distance from its source Attenuation. Therefore, at a specific location in a space, there will be different power levels in its time-frequency dimension. Their guesses are divided into groups that can be based on certain measurements (for example, power levels: , Duty cycle, etc.) when they are classified as either occupied or available, they are observed. The energy they observe is scanned by the bandwidth defined above for their specific sampling period, and Calculated for each collector. This -power ^ criterion is compared to a -specific power level threshold, and its entire bandwidth is classified as "occupied for its sampling period" " Or both. This program represents its first program, and some blanks are selected, and then they are more synthesized into some available signal channels. 25 200401572 Referring to FIG. 6, the above-mentioned sensed and characterized observation spectrum utility is fed into its predictor 36 at point A. Following the classification of the white frequency bands of the B spectrum observed above, its completion can determine whether its behavior is deterministic, random, or mixed in nature. Based on the above classifications, the above-mentioned observed blank band data is fed into its appropriate model type. This model type allows some specific parameters (e.g. duty cycle, amplitude, etc.) to more fully describe the characteristics of its waveform, is selected at point 6, and feeds into the sequence evaluator. This sequence estimator will predict the behavior of the waveform over a period of time in the future, based on some past observations. The resulting evaluation sequence, and the confidence measure in its evaluation, are generated at point C for each model. It should be noted that, for some classification models, the parameter selection stage will be skipped to facilitate direct sequence evaluation. The different evaluation sequences and confidence indicators are used to feed into a model selector to generate the above-mentioned predicted time gap in the channel at point D ^, the above-mentioned predictor 36 will focus on identifying different Types of prediction models are used to evaluate the accuracy of predictions based on different basic channel utility characteristics, identify appropriate confidence estimates, B, and dependence values, and develop a method to select an appropriate model. The meaning of ㈣pre-emptive type (model type) includes the following: fI single f shell type "technology, they can track at least a few seconds on the time scale of the channel guard rate, and the assumption"-make money Frequency_ ㈣ In use "'and" a static channel system tends to stay still: ° exponential decay with adjustable parameters in the morning, here is a simple example, which can be used to make a time gap Of prediction. -Some periodic techniques that assume periodic spectrum utility in some time scales to allow frequency sharing. One applicable example is related to ground station azimuth scanning radar. Some of these frequency-availability time series are digitally filtered to select-filter-type techniques that can be used to determine key parameters of future values. The frame rate and sub-harmonics of 5 t or day XT will fully match this model type. • Some times that have been successfully used to predict future values of complex time series based on the past. The time slot of the ancestral distribution can be tracked using this model. • Some of the information about frequency and / or bandwidth are used to enhance the prediction of the rate of change in spectrum availability and spectrum techniques to assess confidence. This is especially useful in situations where the spectrum change is better understood. D-frequency-enhanced spectrum can use this technique to make the best predictions (to some extent). The performance of the mysterious prediction state 36 can be based on the "conflict" of their gaps 15 20 / knife types (that is, 'there is no gap in prediction') and " missed opportunities ,, (i.e., negligence in predicting available White space). Because its main purpose is to maximize the spectrum and minimize the impact on existing frequency-reading users, their conflicts and missed opportunities need to be mutually compromised. Assessing the performance of the above models, the similarity between conflicts and missed opportunities requires the measurement of a wide range of time_reliance behavior. The development of their confidence assessments is based on the `` fitness '' observed for each model's assumptions. (For example, in the case of the -periodic model, the gap length does change). Collision / Misunderstanding Performance Measurement: Their confidence assessment will be based on the channel, and the urgency of predicting the usability will be a long-lasting long-range 27 200401572, which will decrease monotonically. Their forecasting technologies will attempt to merge the long-term and short-term spectrum utility history in order to improve the accuracy of model predictions and reduce their computational load. When few channel utility messages are available, such as during its inception, it will require multiple model types' to characterize its spectral gap behavior. As more channel information is available, only certain types of karyotypes' need to be used to allow faster convergence to their correct characteristics. This analysis method will evaluate the effectiveness of different types of gap prediction algorithms, and will provide confidence assessments related to the utility characteristics of different channels. 10 will be used as the model choice. ', v ^ px, vil ur Λ 15 20 The core. Refer to Figure 7 'This—the main role of the component is to package the predicted blank frequency bands into channels that can be used for communication, and then optimize these channels to some exclusive, random access Type, or split type, to dynamically meet these expected communication needs. The above-mentioned optimization cry 4〇 ’can also make a decision of the business _ independence or need to complete the collaboration with the network's neighbors in order to get the best resource efficiency. They have to do the «Meta-Access Transmission» method to complete the message of the patronage, and at the same time decide whether an independent operation or-a user-friendly collaborative operation 'need to have Which condition is fulfilled by MUMAC (Multi-User MAC). The above ...%, • represent the basic adaptation engine of the above DPA. v The above-mentioned predictor 36 will provide a list of blank frequency bands whose durations are indicated by specific frequency, bandwidth, and time metrics. So two :: > 4 28 200401572 The blank frequency band of the frequency spectrum is composed of a 10 MHz frequency search within a 900 MHz spectrum (900-910 MHz), which has a time frame of one millisecond without the system Through a pattern matching procedure_ to search for a specific combination of resources, and to appear in a 3 is used, and another 90 milliseconds are occupied by some assigned users. The time measurement described above changes from a purely deterministic (for example, the time and width of a specific starting point of the next blank band 5) to a purely random (for example, the expected occurrence rate of a blank band, a blank band is Expected minimum duration). They can provide some intermediate options (for example, a specific starting point time 'and a concession if there is a conflict). The above channel synthesizer% can encapsulate these individual fresh reward values into some channel value values—they include 10 frequency lists to be used (for example, serial, synchronous, mixed), Bandwidth used in each channel, and associated time opportunities. This is in the finished style. -Some specific radio capacity and prior and / or observed environmental factors are used to synthesize a list of available channels. In addition, the synthesizer 38 mentioned above must be adapted to the needs of (^, and through different channels
一定時間周期中之可用 可提供其需要之傳輸量 係不加使用。 一可將該等可用和所預測之空白頻段配一Available in a certain period of time to provide the required transmission volume is not used. One can match these available and predicted white space bands
及決定其能力。基於該等空白頻段之特性,—或多之空白 頻段’係被分類成—些要被使用在其最佳化程序中^ 道。此程序係列舉如下: 、 29 200401572 將其預測器所出之輸出(空白頻段之序列)標示為 彼等通訊頻道,係由此等在特定時刻τ之空白頻段 ㈣定組合所構成。有多種合成頻道之解決方案係屬適 ^在其最簡單者之下,每一個別之空白頻段十係被視 .....^以及其可祕係如所制。此很顧係其可應 用至此函數之最簡單的判定邏輯L,分配多重之空 白,沈傳輪罝之目的而言,經常係更有效率。所以, 其次—層次之複雜性,將考慮二或以上之空白頻段⑹的組 ίο 合’但係使在時間上相—致。此外,每—$係恰為—組之構 件其4寸疋頻逞可用性,接著係由該組中之^的簡單組合(方 程式1)來加以決定: ,)=ή伽⑴ /=1 該頻譜之較佳使用,係藉由考慮上述f,之多重組合,以 及使用4間性之抵補,來加以達成。因此,fi可就—頻道之 15頭12//s加以使用,緊接是就某些周期之^,等等。此外, 考慮非排他性地使㈣與若干其他項之組合,推遲至往後有 關何者使用為最佳之判定的時刻。此較—般性之解決方 案,係引進組合式複雜性,藉以富潛力地達成其較佳之頻 譜使用。 ' 20 上述之最佳化器40,將會維護一可供無線電使用之頻 道列表(由個別或成組之預測空白頻段所構成)。該最佳化器 之基本功能,旨在確保一些合適之頻道,以供其分配器來 維持QoS。其係依據qos之約束條件、過去歷史、和其他準 30 200401572 則,而將頻道分配成專屬式、隨機存取式、或拼合式。上 述最佳化器之頻道欠分配,將會因時間屆滿所致訊息之部 份傳輪或刪除,而降低其局部(節點之)Q〇S。彼等專屬頻道 之過度分配,將會造成整個系統較低之QoS,因為所有之節 5 點,可能會同時進行通訊,以及彼等之衝突將會增加。 參照第8圖,其中係例示上述最佳化器40所使用而將彼 等合成之頻道分類成一些不同類型之閉迴路解決方案。此 解決方案係仰賴幾個相關聯之元素,以及係上述DPA之作 用的關鍵。在此一解決方案中之基本假設是,1)彼等訊息 10 和空白頻段到達之速率,通常係屬隨機性,以及2)所有鄰 近節點之訊息仔列的狀態,並無法全面充分詳細地知道。 因此,其頻道(空白頻段)使用之即時全面最佳化,在嘗試時 將會在計算上過於複雜以及費時。上述整體控制和最佳化 器40之基本目的,係為在一些訊息潛時參數所決定之訊息 15 遞送中,達成QoS。其目標在於達成此,同時能維持其可用 頻寬之有效率的使用,以及能在其需求達到及超過其總容 量時,容許其性能中有某種之逐漸降級。 上述最佳化器40之基本運作,係為動態調整上述所請 求專屬之頻道容量,nD,以及係以第8圖(專屬之頻道需求 20 方框)中之方程式作為一範例。在此,該需求係基於某一時 段進入其符列内之訊息登錄項的平均速率,而動態地加以 調整,以及係因該佇列中之訊息積壓而增大。上述之最佳 化器40,接著會決定出一組集體將符合此一容量之頻道。 基於此等頻道特性和其他因素,一頻道可為一專屬性(亦 200401572 峨一隨機存取性, 此專雜相賴機存取性之決定,係獨立地加 I或者可協調地包括來自鄰近節點之資訊1 白頻段和讀之訊,!,將可料每—節,时獨立性運作了 而不必額外之協同内務操作,同時很少之空白頻段,兩要 有某種程度之協調訊息在彼等鄰近者之間共用,以^ 其公平性及維持其傳輸量。—些涉及到資訊交換中所使用 之内務操作容量的折衷選擇係存在的,故—些可在獨立模 ίο 15 20 態中或以少許内務操作工作之智慧型頻道分配暨選擇技術 係屬較佳。 嫌在獨立分配頻道給資源和訊息之情況中,其具有多重 附V -些可就通訊而加以選擇之相同或類似的特性之頻道 的節點,將會引發-條件,以及彼等資源可被絲企圖決 定此等頻道之最佳者。此選擇頻道之程序,在設計上最好 可使隨機地騎辭㈣之適宜頻道(以及加人—些慣性 作用,以極小化一些無用之改變)。And determine its capabilities. Based on the characteristics of these blank bands, —or more blank bands ’are classified into—these are to be used in their optimization procedures ^. The sequence of this program is as follows:, 29 200401572 Marks the output (sequence of blank frequency band) output by its predictor as their communication channel, which is formed by the predetermined combination of blank frequency bands at a specific time τ. There are a variety of synthetic channel solutions that are suitable. ^ Under its simplest, each individual blank frequency band is considered as ..... ^ and its secret system is as made. This is because it is the simplest decision logic L that can be applied to this function, and it is often more efficient for the purpose of allocating multiple vacancies. So, secondly, the complexity of the hierarchy will consider the combination of two or more blank frequency bands, but they are consistent in time. In addition, each-$ is exactly the component of the group, its 4-inch frequency frequency availability, and then is determined by a simple combination of ^ in the group (Equation 1): The better use is achieved by considering the multiple combinations of f, and using the compensation of 4 interstitials. Therefore, fi can be used for 15 channels of 12 // s, followed by ^ for certain periods, and so on. In addition, consider non-exclusively combining ㈣ with a number of other terms, and postpone it until the moment when it is judged which one is the best to use. This more general solution is the introduction of combined complexity, which has the potential to achieve its better use of the frequency spectrum. '20 The above-mentioned optimizer 40 will maintain a list of channels available for radio use (consisting of individual or groups of predicted blank bands). The basic function of this optimizer is to ensure some suitable channels for its distributor to maintain QoS. It is based on the constraints of qos, past history, and other criteria, and the channels are allocated as exclusive, random access, or split. The under-allocation of the channel of the optimizer mentioned above will reduce the local (node) QOS due to partial transmission or deletion of the message caused by the expiration of time. The over-allocation of their exclusive channels will result in lower QoS of the entire system, because all nodes may communicate at the same time, and their conflicts will increase. Referring to Fig. 8, there is illustrated an example of the closed-loop solution used by the optimizer 40 to classify their synthesized channels into different types. This solution relies on several related elements and the key to the role of the DPA mentioned above. The basic assumptions in this solution are that 1) the rate of arrival of their messages 10 and the blank band is usually random, and 2) the status of the information queues of all neighboring nodes, which cannot be fully and fully known . Therefore, the real-time and comprehensive optimization of its channel (white space) use will be too computationally complex and time-consuming to try. The basic purpose of the above-mentioned overall control and optimizer 40 is to achieve QoS in the delivery of messages 15 determined by the latency parameters of some messages. Its goal is to achieve this while maintaining the efficient use of its available bandwidth and allowing some gradual degradation in its performance when its demand reaches and exceeds its total capacity. The basic operation of the above-mentioned optimizer 40 is to dynamically adjust the above-mentioned requested exclusive channel capacity, nD, and the equation in Fig. 8 (exclusive channel requirement 20 box) as an example. Here, the demand is dynamically adjusted based on the average rate of message entries that enter its queue at a certain time, and is increased due to the backlog of messages in the queue. The above-mentioned optimizer 40 will then decide a group of channels that will collectively meet this capacity. Based on these channel characteristics and other factors, a channel can be an exclusive property (also 200401572 E-random accessibility). This decision depends on the accessibility of the machine, which is independently added by I or can coordinately include from adjacent Node information 1 The white band and read news,!, Can be expected to operate independently every quarter without additional collaborative housekeeping operations, while there are very few blank frequency bands, and there must be some degree of coordinated information in the They are shared between their neighbours in order to maintain fairness and maintain their transmission volume. Some compromise options exist concerning the housekeeping capacity used in information exchange, so some can be used in the independent mode. 15 20 The smart channel allocation and selection technology that works with a small amount of housework is better. It is suspected that in the case of independent allocation of channels to resources and messages, it has multiple attachments-some of which can be selected for communication. The same or similar The characteristics of the nodes of the channel will trigger conditions and their resources can be attempted to determine the best of these channels. This channel selection process is best designed to randomly ride (Iv) the appropriate channel (and the addition of - some inertia to minimize the number of useless changes).
Meta-Access(間位存取)傳輸方法,係有效地及效率高 地被用來封裝資訊(例如,訊息、資料、頻道資訊、等等)。 其訊息資料可添加一些有關環境之資訊(例如,頻道之可用 性、已被使用、訊息仵列、科),作為其傳輸之一部分。 此在提醒該接收機㈣上述發送器所見者方面,係容有較 低之内務操作’而有助於未來之排程,可縮減彼等鄰近者 間之回授和«所需的時間和資源與所保留之無線資源和 頻這空白财,但唯有當鮮環境條件需要㈣性頻道分 32 200401572 配時,方會被完成。 本發明之方法,可容許訊息傳輸能做動態適應,以及 亦能符合當前波形有關之最佳組件協定,彼等可能包括 SDMA、DDMA、CSMA、TDMA、BAMA、和 CDMA、或 其他協定。第9圖係例示此傳輸訊息之Meta_Access(間位存 取)方法有關的取樣時框。&策略彳容許使用分配和爭用兩 者方法,來決定如何使該資訊有最佳之傳輪。 上述之Meta-Access(間位存取)方法,基於傳輸之目 的,可使用制性或隨機存取性之頻道。上述之協定係内 10 15 建有-些存取延遲限度和條款,藉以避免不穩定性。此將 可容許重複較大之空間頻寬。此—方法之性能,係直 接仰賴於其網路中之行動節關數目。該協定將會基於不 同^準則,諸如可狀«、先前之成功/失敗、訊息交 通量、"QoS級別、潛時、等等,妓出是否使用廣播或單播 之傳輸。所以’-統-之方式中的點對點和多點交通兩者 有關之支援,為此方法之—部分。上述用以正確表示頻道 之可能性、起動通訊及使用其性能回授來認知地選擇一排 私同時包括與其他節點之排程訊息的協調性交換之能力, 將會直接衝擊到其無線電之傳輸量,和彼等通訊有關之資 源的使用。 、 、參照第10圖,其中係例示—可容許上述適配器52動態 地決定如何與其網路巾之其他節齡通 料。地她咖,將觸—些類_=7 無線電貢源、和訊諸列等不同因素,來決定其是否需要 20 200401572 ίο 15 20 與鄰近之節點就頻道存取而進行石差商。在所預期不相衝突 之分配和多重可能之頻道的事件中,上述之最佳化器/ 將會決定不做任何協調而將訊息傳送給—鄰近節點。若此 —方法成功’以及其環境條件在改變上慢至足以被追:此 上述之最佳化器,便會繼續遵循此一路經。此將會造成其 資源和頻譜高效率之使用。此一模態將被識別為一獨立性 運作。在此獨立性模態中,該等專屬之存取空白頻段,將 屬-些就通訊首先加以使用者,以及接著方為該等 取空白頻段。 、當彼等環境條件改變(例如,空白頻段密度開始縮減, 或通Λ失敗,以及重新傳送請求增加)時,上述之最佳化器 4〇 ’將會開始與鄰近之節點協調。其將會以兩種方式來: 成^半協調性和完全協雛《。在前者之情財,上= 之取佳化,會將其本地協調性環境中所見之訊息,附加 至彼等正被傳輪之訊息。上述之最佳化器,亦可請求竿此^自該接收機傳回,而作為—認可之部分。此—交換訊 息之低内務操作方法,將合 、。 路之並㈣W 將曰合井其取佳化器40,瞭解該網 =他,中的條件,以及做出有關就彼等通訊使用頻 °曰、工抓和無線資源相關的較佳欺。在此-模態中, ’L取佳化…可能會决定僅使用其部份之專屬存取空 白頻段,以及容許1他筋 I他即點使用彼等中的某些。其可能亦 ^寺^曰4寺隨機性存取之使用,藉以縮小該網路中之 上述之最/圭化器4〇 .脸人备4 '字冒在硯測到彼等空白頻段之可Meta-Access (meta-access) transmission methods are effectively and efficiently used to encapsulate information (e.g., messages, data, channel information, etc.). Information about the environment (for example, channel availability, used, message queue, section) can be added to its message data as part of its transmission. This reminds the receiver that the above-mentioned transmitter sees a lower housekeeping operation, which helps future scheduling, which can reduce the time and resources required for feedback and «between their neighbors. It has nothing to do with the reserved wireless resources and frequencies, but it can only be completed when the fresh environmental conditions require the allocation of the flexible channel points 32 200401572. The method of the present invention may allow dynamic adaptation of message transmission and also conform to the best component agreements related to current waveforms. They may include SDMA, DDMA, CSMA, TDMA, BAMA, and CDMA, or other protocols. Figure 9 illustrates the sampling time frame related to the Meta_Access method of this transmission message. & Strategies allow the use of both allocation and contention methods to determine how to best pass that information. The above-mentioned Meta-Access (meta-access) method, based on the purpose of transmission, can use the channel of random or regular access. The above-mentioned agreement has some access delay limits and provisions in 10 15 to avoid instability. This will allow repetition of larger spatial bandwidths. The performance of this method is directly dependent on the number of mobile nodes in its network. The agreement will be based on different criteria such as availability, previous success / failure, message traffic, " QoS level, latency, etc., and whether to use broadcast or unicast transmission. So the support of both point-to-point and multi-point traffic in the '-uniform-' method is part of this method. The above-mentioned ability to correctly indicate the channel, start communication, and use its performance feedback to cognitively select a row of private and also include the coordinated exchange of scheduling information with other nodes, will directly impact its radio transmission Volume, and the use of resources related to their communications. Refer to Figure 10, which is an example—allowing the adaptor 52 to dynamically determine how to communicate with its other towels. The local government will touch some different factors such as _ = 7 radio sources and Hexun columns to decide whether it needs 20 200401572 ίο 15 20 to perform a stone difference quotient with the neighboring nodes on channel access. In the event of the expected non-conflicting allocation and multiple possible channels, the above-mentioned optimizer / will decide to send the message to a neighboring node without any coordination. If this —the method is successful ’and its environmental conditions are slow enough to be chased by changes: the above-mentioned optimizer will continue to follow this path. This will result in the efficient use of its resources and spectrum. This modality will be identified as an independent operation. In this independence mode, these exclusive access white space bands will belong to the user first for communication, and then take the white space band for them. 2. When their environmental conditions change (for example, the density of blank bands starts to decrease, or communication fails, and the number of retransmission requests increases), the above-mentioned optimizer 40 ′ will start to coordinate with neighboring nodes. It will come in two ways: semi-coordinated and fully cooperative. In the former case, optimizing the above will add the messages seen in their local coordinated environment to the message that they are being transferred. The above-mentioned optimizer can also request to return from the receiver as a part of the approval. This—a low housekeeping method of exchanging information will be combined. The road will be combined with W to optimize its optimizer 40, understand the conditions of the network, and make better decisions about the frequency of their communications, work, and wireless resources. In this mode, ‘L’ is optimized… it may be decided to use only part of its exclusive access white space, and allow others to use some of them immediately. It may also use the random access of 4 temples, so as to reduce the above-mentioned most of the network / guitarizer 40 in the network. The face of the person's 4 'word pretending to be able to guess their blank frequency band
34 200401572 用性的顯著降低時,交 —& 態中,彼等頻譜空白頻段一模 會傳送至給該轉近之㈣ 識和,’傳送之意向”,將 A, 6 即2,以及彼等鄰近之節點所傳回 ίο 15 2〇 Γ ’將會被用來決定彼等頻譜空白頻段之-公” 二二:譜空白頻段訊息之交換,將可容許每一節點: /、疋了 I白頻段應屬專屬性,和何者應供每—者隨機存 取。在此—模態中,彼等專屬性空白頻段,總會首先被使 二因:彼軸空白頻段對不同節點之分配J :政錢率將會極低。彼等隨機存取性空白頻 時使用彼等,彼等衝突決定同 會出現。讀大之機會,和資源因而之浪費,或將 上述之最佳化器40,將會使用上述之Meta-Access(間位 存取)方法,來決定其排鞋却* , ’、5心,應如何與上述半協調性模 恐中:;广息資訊—起封裝。然而,當上述 4〇’父換“時,其亦會使用上述之 帅-Access(間位存取)方法的格式,來封裝一些獨與其見 刻之空白頻段㈣如何利用彼等來做通訊的資訊。 上述之多使用者MAC結構,將可支援單播和多播之通 訊1等廣播和單播兩者中之訊息的交換,將會被編碼成 /可表不彼等相對於時間、冲套 了1頻率、功率 '和其他參數之可 用傳輸機會的壓縮格式。當就稀疏之網路而需要多點通訊 時’廣播便會被使用’而單播將會被用來支援快迅、低内 務操作之點對點通訊。 35 200401572 处復參照第4圖,該等分配器4s、5〇,係具有兩種主要功 :· 1)使頻遏與訊息相匹配,和2)決定每—傳輸所使用之特 疋波形寥數。再一次,上述之Decisi〇n-Making(決策)結構, 係被用來決定其最佳之匹配和映射的可能性。該等分配器 5 48、50 ’將會尋求解決以下之挑戰: U該等頻道在時間和頻率上係相重疊。 〜2)頻道選擇係涉及連續接聽(嗅探及回授),藉以識別彼 等改變之頻道條件。 3)彼等選擇使用之頻道,可能會由於若干包括相鄰節 1〇點之同步使用和出自非協調裝置之可能干擾等時間性因素 所致,而提供少於預期之Q〇s。彼等頻道之組合,將會在沉 重之環境載人條件下,被用來提供最佳可能之QoS。 上述之Look-Ahead Assignor(先行分配器)(LAA) 48,可 將當前優先順序排列過之訊息組, Μ毫秒時框中的可用頻道,和該等可能為完^:奴= 所需的無線資源。此映射在性質上係屬試驗性,以及因而 -最佳之映射’並非總有必要。大體上,該等傳輸頻道係 屬Ik機性,某些訊息傳輸可能會失敗,以及一些額外之高 優先順序排列的訊息,可能會在相關之時框中抵達。此-20試驗性映射,係被用來決定兩組關鍵性資料-其一:其中之 傳輸能力務必要加以感測的相關特定頻道,和其二:要被 採用之整體RF參數和頻道選擇策略。 上Λ之LAA 48可接收來自其最佳化器4〇之輸入,以及 亦會查哥上述之訊息佇列44,並且在該等通訊頻道與訊息 36 200401572 建立一映射。此一映射可屬一對一(一頻道對 息)、多對—(一訊息有多頻道)、多對多(多訊息有多頻道)。 後兩者之情況係特別引人關注,因為LAA 48之角色,在性 質上係更具戰略性。該LAA 48在功能上,可確保其當前之 5分配器50,能快速地適應一些類似一被預測之頻道的不存 在、傳送之重複失敗、重新傳送之請求、等等的環境條件 之改變,藉由提供一較大組之可能性以供利用,其適性能 力連同其刀配益_無線電之軟態靈活性,係得到顯著之增 強。此一技術可在頻譜之動態利用中增加其效率。 〇 上述之LAA 48將會持續重新計算其滿足上述訊息佇 列之需求所需要的頻道數目。在此一方式下,其將可十分 迅速地決定出,該等訊息是否過速地仔列成長行,以及其 需要提醒上述之最佳化器4〇,透過與彼等鄰近節點之石差 商,改變彼等專屬性對隨機存取性之分割結構。一即定之 15訊息佇列尺度所需要的頻道數目, 估: 可以方程式3來加以評34 200401572 When the usability is significantly reduced, in the AC- & state, the blank frequency bands of their spectrum will be transmitted to the cognizant and “intent of transmission”, which will be A, 6 or 2, and 15 2〇Γ ', which will be returned by neighboring nodes, will be used to determine the blank frequency bands of their spectrum.-22: The exchange of spectrum blank frequency band information will allow each node to: / 、 疋 I The white band should be exclusive, and which should be provided for random access by each. In this mode, their specific blank frequency bands will always be used first. Two reasons: the allocation of other nodes' blank frequency bands to different nodes. J: The political money rate will be extremely low. They use random random access spaces frequently, and their conflicts decide to occur. The opportunity to read big, and the waste of resources, or the above-mentioned optimizer 40, will use the above-mentioned Meta-Access method to determine its shoe ranking *, ', 5 hearts, How should we be in harmony with the above semi-coordination :; broad information—encapsulation. However, when the above-mentioned "40's parent is changed," it will also use the format of the above-mentioned (Access) method to encapsulate some of the blank frequency bands that are unique to them. How to use them for communication The above-mentioned multi-user MAC structure will support unicast and multicast communication, such as the exchange of messages in both broadcast and unicast, and will be encoded / represented in terms of time and impact. A compression format that sets the available transmission opportunities of 1 frequency, power, and other parameters. When multipoint communication is needed on a sparse network, 'broadcast will be used' and unicast will be used to support fast, low Point-to-point communication for housekeeping operations. 35 200401572 Refer back to Figure 4. These distributors 4s and 50 have two main functions: 1) matching frequency containment with the message, and 2) deciding where Very few special waveforms are used. Once again, the above-mentioned Decision-Making structure is used to determine its best matching and mapping possibilities. These distributors 5 48, 50 'will Seek to address the following challenges: U These channels are time and frequency The above systems overlap. ~ 2) Channel selection involves continuous listening (sniffing and feedback) to identify the channel conditions that they have changed. 3) The channels they choose to use may be due to the inclusion of adjacent sections 1〇 Synchronous use of points and possible interference from non-coordinating devices caused by temporal factors, and provided less than expected Q0s. The combination of their channels will be used to provide under heavy manned conditions The best possible QoS. The above-mentioned Look-Ahead Assignor (LAA) 48 can sort the currently prioritized message groups, the available channels in the frame in M milliseconds, and these may be complete ^: Slave = required wireless resources. This mapping is experimental in nature, and therefore-the best mapping is not always necessary. In general, these transmission channels are Ik-based, and some message transmission may Failure, and some additional high-priority messages may arrive in the relevant time frame. This -20 experimental mapping is used to determine two sets of critical data-one: the transmission capacity must be Sense Related specific channels, and the second: the overall RF parameters and channel selection strategy to be adopted. The LAA 48 on Λ can receive input from its optimizer 40, and it will also check the above information queue 44 And establish a mapping between these communication channels and message 36 200401572. This mapping can be one-to-one (one channel for interest), many-to- (one message has multiple channels), many-to-many (multi-messages have multiple channels) The situation of the latter two is of particular concern, because the role of LAA 48 is more strategic in nature. The LAA 48 is functional in that it can ensure that its current 5 distributor 50 can quickly adapt to some Changes in environmental conditions like the absence of a predicted channel, repeated failures in transmission, requests for retransmission, etc., by providing a larger set of possibilities for utilization, its adaptive capabilities along with its knife benefits _The soft state flexibility of the radio has been significantly enhanced. This technique can increase its efficiency in the dynamic use of spectrum. 〇 The above LAA 48 will continue to recalculate the number of channels it needs to meet the needs listed in the above information. In this way, it will be able to decide very quickly whether such messages are growing too quickly, and it needs to remind the optimizer 40 above, through the stone difference quotient with their neighboring nodes. To change the segmentation structure of their specificity to random accessibility. As soon as the number of channels required for the 15 message queue is fixed, it can be estimated by Equation 3.
差,以及PK為該優先順序類別k有關之系统利用率。其中 之基本假設是,其分配程序係屬非先佔性。八 7 L表示上iilt县 佳化為所k供而針對LAA 48之可用頻道的绳妻冬 t示上述最 ’以及令Μ 37 200401572 為上述資訊佇列之尺度,而如方程式4所界定: M = j:Nf (4) /=1 則只要C>M,其中便無訊息之刪除。此處之假設是, 每一訊息需要一專屬性或隨機性之頻道。在C<M之事件 5 中,某些訊息(具有難以滿足之低優先權或QoS級別)將有可 能全然未分配到一頻道,或面鄰過度之延遲,以及其結果 是被刪除。然而,上述DPA之結構,可容許該等參數之調 制,以便極小化一訊息自上述訊息佇列刪除的或然率。此 一調制係透過該等總可認知其環境之改變及可調整彼等頻 10 道之合成和最佳化的快速和慢速回授迴路,來加以達成。 上述之LAA 48係假定,上述最佳化器40所提供之頻道 列表(專屬性和隨機性存取),係符合某些SIR和QoS級別。 上述DPA之結構,係靈活至足以容許不同聚集池(pool)内之 總頻道做動態分割,其中之每一聚集池,係以一特定之應 15 用為對象,舉例而言,延遲寬容或延遲不寬容之應用。 參照第11圖,其中係例示一有關LAA之結構的演算 法。此演算法係執行以下之步驟: •查尋訊息佇列以挑選出正確之訊息。 •使所分配之頻道與彼等訊息相匹配。若有需要時, 20 向其最佳化器請求更多之頻道。 •一頻道C(k)對一訊息M(k)之適宜性。 •若一良好之匹配被發現到,則該等頻道和訊息係加 以標記。若其匹配並不十分良好,則連同該標記,會有一 200401572 分級被提供。 *該等頻道-訊息之映射圖,係使傳送給其CA。 .上述LAA之列表結構,係以該等行至其CA之映射 組,來加以更新。 5 上述之當前頻道分配器(CA) 50,可提供彼等訊息對無 線資源之最終映射圖,以使其整個系統之目的,能有最佳 之滿足或近似化。上述之CA 50,將會在已知當前之訊息缓 衝儲存區和其次一可用之所有可能的空白頻段下,計算出 其最佳之參數。上述LAA之結構内的頻道分配器之目標 10 是,應在其可用之無線電頻寬内,極大化彼等感到滿意之 使用者的數目。 此一CA 50會在彼等交通QoS需求下,有效率地工作, 以及會使用彼等來優先順序排列其傳輸。假定容量小於其 需求,該CA可能會無法公平分配資源給所有之傳輸需求。 15 在其極端之情況令,可能會有某些訊息留在其訊息緩衝儲 存區内,以及將會時間屆滿。此一條件係因當前之專屬容 量與平均和尖峰的需求間之大差別而被偵測到。當其頻譜 變為可用時,其階層1控制,將會藉由增加其專屬性空白頻 段之分配而做調整。彼等快速之迴路控制(例如,10毫秒) 20 和慢速之迴路控制(例如,1秒)的組合,將會在最佳化QoS 與滿足其程序間,提供一平衡,藉以提供公平之存取,給 所有之節點和訊息。 上述CA 50有關之基本演算法,將會檢查上述加標記而 接收自LAA 48之訊息配對,以及使此配對與其所需之無線 39 200401572 資源(波形、_、通訊碼、等等)相匹配,藉以完成—成功 之通訊。其接著將會請求上述之無線電,在此分配之頻道 上面傳送資料。錢通訊由於數種可能之理由,舉例而言, 5 10 頻道之Rm性有了改變、—彳之頻道縣變為可用、頻 道之品質變為惡化、料所致而未出現,則上述之CA % 將會決定,其中是料其他㈣換之賴,能滿足上述訊 息QoS之需求,而不致有時間屆滿。若其可以,則—頻道之 重新分配將會出現’以及該等CA和LAA中之列表,將會被 更新。若上述之可能性失敗,該訊息將會自上述之仔列刪 除。該等合成器38、最佳化⑽、和LAA 48,將會提醒此 一事件’以便就未來之通訊企圖,使其頻道組成和分配中 完成變更。 復参照第1圖,上述動態無線資源利用有關之網路,係 包括可供貧源共用之開放性界面。此外,上述之網路係具 15有記帳和認證之能力和一共用之資料庫。 就热線資源之模型化使用而言,現有資源使用率基於 ㈣和時間之預定知識’係被要求。為使用現有之系統, 來模型化無線資源之折衷選擇和分配,其亦需要有關頻 率、空間、和時間上之相依性訊息。 20 上述之無線電終端機丨〇,可為一些可處理大頻寬和多 之適無 線電。上述之網路係具有可利用一些可處 理不同協定及提供一資料中心給共用之資料庫的無線電而 基於—需求來分配資源之能力。 隹;、本叙明之一較佳實施例,業已例示在所附諸圖 40 200401572 中,以及說明於前文之說明内容甲,理應瞭解的是,本發 明並非受限於此等所揭示之實施例,而係可在不違離本發 明之精神下,彼等零件和元件係可有許多之重新安排和修飾。 【圖式簡單說明】 5 第1圖係一可藉由激勵一些未被利用或未充份利用之 無線資源來建立一些通訊鏈路的無線電通訊系統的示意性 圖例; 第2圖係一可增強一些未被利用或未充份利用之無線 資源的使用有關之軟體適性技術的功能性圖例; 10 第3圖係第2圖中所例示之軟態(softstate)適性方法的功 能性圖例; 第4圖係一可例示其依據本發明之動態無線資源利用 技術有關的方法和系統之方塊圖; 第5A至5E圖係一範例性DPA功能性; 15 第6圖係第4圖之預測器的方塊圖; 第7圖係一基於一些預測之空白頻段特性的頻道合成 和最佳化之圖例; 第8圖係第4圖之最佳化器的閉迴路結構之方塊圖; 第9圖係一依據本發明封裝資訊之間位(meta)存取方法 20 的圖例; 第10圖係一可顯示第4圖之適配器的改變模態之多使 用者MAC功能性之方塊圖;而 第11圖則係一可例示一用以說明第4圖之先行 (look-ahead)分配器的運作之演算法的流程圖。 41 200401572 【圖式之主要元件代表符號表】 10.. .手機終端機 10.··無線終端機 12.. .路由器 14.. .基地臺 16.. .無線電機組 18,22,24,26,28,30,32·..運作 20.. .軟態適性模組 34.. .感測器 34.. .感測暨特性化功能 36.. .預測器 38.. .頻道合成器 40…最佳化器 42.. .近鄰單元 44.. .待決訊息佇列 46.. .專屬/隨機存取頻道列表 48…先行分配器 50.. .當前頻道分配器 52„.適配器 42Poor, and PK is the system utilization related to the priority category k. The basic assumption is that the allocation process is non-preemptive. 8 7 L indicates that the above-mentioned iilt county has provided for the use of the ropes for the available channels of LAA 48, and the above-mentioned information and M 37 200401572 are the dimensions of the above information queue, as defined by Equation 4: M = j: Nf (4) / = 1, as long as C > M, there will be no deletion of messages. The assumption here is that each message requires a specific or random channel. In event 5 of C & M, some messages (having an unsatisfactory low priority or QoS level) will likely be completely unassigned to a channel, or there will be excessive delays in the neighborhood, and the result will be deleted. However, the structure of the above DPA allows the adjustment of these parameters in order to minimize the probability of a message being deleted from the above message queue. This modulation is achieved through fast and slow feedback loops that can always recognize changes in their environment and adjust the synthesis and optimization of their 10 channels. The above-mentioned LAA 48 assumes that the channel list (exclusive and random access) provided by the optimizer 40 described above conforms to certain SIR and QoS levels. The structure of the above DPA is flexible enough to allow dynamic division of total channels in different pools. Each of these pools is targeted at a specific application, for example, delay tolerance or delay. Application of intolerance. Referring to Fig. 11, there is illustrated an algorithm for the structure of LAA. The algorithm performs the following steps: • Look up the message queue to pick out the correct message. • Match assigned channels with their messages. If needed, 20 asks its optimizer for more channels. • Suitability of a channel C (k) for a message M (k). • If a good match is found, the channels and messages are marked. If it does not match very well, a 200401572 rating is provided along with the tag. * The mapping of these channels-messages are sent to their CA. The above LAA list structure is updated with the mapping group of these rows to its CA. 5 The above-mentioned current channel distributor (CA) 50 can provide the final mapping of their messages to wireless resources, so that the purpose of the entire system can be optimally satisfied or approximated. The above-mentioned CA 50 will calculate its best parameters based on the known current buffer storage area and all possible blank frequency bands available next. The goal of the channel splitter within the structure of the above-mentioned LAA is to maximize the number of satisfied users within the available radio bandwidth. This CA 50 will work efficiently under their traffic QoS requirements and will use them to prioritize their transmissions. Assuming the capacity is less than its requirements, the CA may not be able to allocate resources fairly to all transmission requirements. 15 In its extreme cases, certain messages may remain in their message buffer storage areas and will expire. This condition is detected due to the large difference between the current exclusive capacity and the average and peak demand. When its frequency spectrum becomes available, its level 1 control will be adjusted by increasing the allocation of its exclusive blank frequency band. The combination of their fast loop control (for example, 10 milliseconds) 20 and slow loop control (for example, 1 second) will provide a balance between optimizing QoS and satisfying their procedures, thereby providing a fair balance Take, give all nodes and messages. The basic algorithm related to the above CA 50 will check the pairing of the messages marked above and received from LAA 48, and match this pairing with the required wireless 39 200401572 resources (waveform, _, communication code, etc.), To Complete-Successful Communication. It will then request the aforementioned radio to transmit data on the assigned channel. Qian Communication has several possible reasons. For example, the Rm property of channel 5 10 has changed, the channel counties of 彳 have become available, the quality of the channel has deteriorated, and the reason has not appeared. % Will decide, among which it is expected that other reliances will be able to meet the above-mentioned message QoS requirements without expiration of time. If it can, then—the reallocation of channels will occur ’and the list in those CAs and LAAs will be updated. If the above possibility fails, the message will be deleted from the above list. The synthesizers 38, optimizations, and LAA 48 will alert this event 'in order to make changes in future channel attempts and channel composition and allocation. Referring again to FIG. 1, the above-mentioned dynamic wireless resource utilization related network includes an open interface that can be shared by poor sources. In addition, the above-mentioned network system has accounting and authentication capabilities and a shared database. As far as the modeled use of hotline resources is concerned, the existing resource utilization rate is based on predetermined knowledge of time and time. In order to use the existing system to model the eclectic selection and allocation of wireless resources, it also requires frequency, space, and time dependency information. 20 The above-mentioned radio terminals 丨 〇 may be capable of processing a large bandwidth and a large number of suitable radios. The above network has the ability to allocate resources based on demand using radios that can handle different protocols and provide a data center to a shared database.隹; One of the preferred embodiments of this description has been exemplified in the attached Figure 40 200401572, and the content described in the previous description A, it should be understood that the present invention is not limited to these disclosed embodiments Without departing from the spirit of the present invention, their parts and components can be rearranged and modified in many ways. [Schematic description] 5 Figure 1 is a schematic illustration of a radio communication system that can establish some communication links by stimulating some unused or underutilized wireless resources; Figure 2 is an enhanced Functional illustrations of software adaptation technologies related to the use of some unused or underutilized wireless resources; 10 Fig. 3 is a functional illustration of the softstate adaptation method illustrated in Fig. 2; 4 Figure 5 is a block diagram illustrating a method and system related to the dynamic radio resource utilization technology according to the present invention; Figures 5A to 5E are exemplary DPA functionalities; 15 Figure 6 is a block diagram of the predictor of Figure 4 Figure 7 is a legend of channel synthesis and optimization based on some predicted blank band characteristics; Figure 8 is a block diagram of the closed-loop structure of the optimizer of Figure 4; Figure 9 is a basis The illustration of the meta access method 20 of the package information of the present invention; FIG. 10 is a block diagram showing the multi-user MAC functionality of the adapter in FIG. 4 which changes the mode; and FIG. 11 is One can be exemplified to explain the fourth Figure is a flowchart of the algorithm of the look-ahead distributor operation. 41 200401572 [Representative Symbols of Main Components of the Schematic] 10. .. Mobile Terminal 10 .. Wireless Terminal 12. Router 14. Base Station 16. Radio Unit 18, 22, 24, 26 , 28,30,32 · .. Operation 20 .. Soft State Adaptation Module 34 .. Sensor 34 .. Sensing and Characterization Function 36 .. Predictor 38 .. Channel Synthesizer 40 … Optimizer 42 .. Nearest neighbor unit 44 .. Pending message queue 46 .. Exclusive / random access channel list 48. Advanced distributor 50 .. Current channel distributor 52 .. Adapter 42
Claims (1)
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| TWI242992B (en) | 2005-11-01 |
| ES2351438T3 (en) | 2011-02-04 |
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