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CN106941712A - A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station - Google Patents

A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station Download PDF

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Publication number
CN106941712A
CN106941712A CN201710325631.4A CN201710325631A CN106941712A CN 106941712 A CN106941712 A CN 106941712A CN 201710325631 A CN201710325631 A CN 201710325631A CN 106941712 A CN106941712 A CN 106941712A
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base station
micro
micro base
mode
service
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Inventor
唐伦
沈海强
张元宝
胡晓东
陈前斌
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Chongqing University of Post and Telecommunications
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Chongqing University of Post and Telecommunications
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Priority to CN201710325631.4A priority Critical patent/CN106941712A/en
Publication of CN106941712A publication Critical patent/CN106941712A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. Transmission Power Control [TPC] or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0203Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W88/00Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08Access point devices
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本发明涉及一种基于业务预测和宏基站协作的微基站节能方法,属于移动通信技术领域。本方法首先对一个微小区内的业务到达率进行预测,根据预测出的下一个时刻微小区内的业务到达率来决定微小区的休眠模式和休眠时长控制参数。当微基站的业务缓存为空时,微基站进入一个时长为t的休眠窗口,在微基站休眠期间到达的业务由宏基站协作处理;在休眠窗口结束时,微基站会根据此时小区内业务在宏基站侧的累积情况判断是否返回到激活模式;若宏基站协助该微基站处理完所有业务,则微基站进入下一个休眠窗口;若宏基站没有协助该微基站处理完所有业务,则微基站进入激活模式,直到该小区内没有业务请求时再次休眠。

The invention relates to a micro base station energy saving method based on service prediction and macro base station cooperation, and belongs to the technical field of mobile communication. The method firstly predicts the service arrival rate in a micro cell, and determines the sleep mode and sleep duration control parameters of the micro cell according to the predicted service arrival rate in the micro cell at the next moment. When the business cache of the Femto base station is empty, the Femto base station enters a dormancy window with a duration of t, and the services arriving during the dormancy period of the Femto base station are processed cooperatively by the Macro base station; when the dormancy window ends, the Femto base station will The accumulated situation on the side of the macro base station determines whether to return to the active mode; if the macro base station assists the micro base station to process all services, the micro base station enters the next sleep window; if the macro base station does not assist the micro base station to process all services, the micro base station The base station enters the active mode and sleeps again when there is no service request in the cell.

Description

A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station
Technical field
The invention belongs to mobile communication technology field, it is related to a kind of micro-base station section cooperated based on traffic forecast and macro base station Can method.
Background technology
Wireless communication system is obtaining development at full speed nearly ten years.Due to the popularization of smart machine, data traffic increases Long very rapid, the number of devices of following access to communication networks will increase by geometric progression, also can be anxious to electric power energy requirements Speed increase.In order to solve this problem, many scholars propose the concept of " green communications ", i.e., by studying various Energy Saving Strategies To reduce the energy consumption in network, network energy efficiency is improved.
In a communication network, most energy consumption is all in base station side, wherein the energy consumption more than 50% is in incoming end.There are data Point out, energy consumption cost occupies the 18% of the whole cost payout of operator in European market, and then accounts for 32% in India Market.Cause The solution of high energy efficiency problem is not only the very big contribution to environmental protection cause in this communication network, is also that operator's cost is reduced Effective behave, thus many experts and scholars of the communications industry are devoted to the method that research improves network energy efficiency.
It presently, there are many base station energy-saving methods, such as base station shut-off power-economizing method, i.e., using the current business number in base station Measure to decide whether to enter resting state.The business threshold value N that a base station is closed specially is determined, when BTS service has been handled Afterwards, into resting state;Hereafter the business for reaching base station all waits in line processing in the buffer, when the business queued up in caching When quantity reaches threshold value N, processing business is opened in base station;Micro-base station enters resting state again after having handled business.Again Such as base station collaboration shut-off power-economizing method under intensive scene, i.e., some neighbouring micro-base stations are regarded into a cluster, in whole cluster In user can switch mutually, by this current cluster of record number of services number determine micro- base in whole cluster The quantity for opening of standing.
But in some current power-saving mechanisms, due to number of services can only round numbers, be likely to result in best accumulated door Limit is discontinuous, it is impossible to obtain optimal energy-saving effect, while the business first reached is produced in the presence of the phenomenon compared with long time delay, to system Performance is affected greatly;And when not having base station collaboration, easily causing the time delay of business oversize causes to influence Consumer's Experience Consequence, and different control parameters can not be used for different business situation, so that the energy-conservation of system can not be improved further Performance and delay performance.
The content of the invention
In view of this, it is an object of the invention to provide a kind of micro-base station energy-conservation cooperated based on traffic forecast and macro base station Method, the first portfolio to next moment are predicted, and macro base station is cooperated with micro-base station.When micro-base station does not have business When processing, into the sleep window of a certain time length.Simultaneously in sleep window, the business of arrival is cooperated by macro base station Processing.When a closing window terminates, micro-base station will determine whether to enter next closing window.If in judgement At the moment, find there is business to be queued up in micro-base station side in now micro-base station coverage.Then micro-base station is opened, by the Microcell scope Interior business is handled by micro-base station.If at the judgement moment, finding there is no business micro-base station row in now micro-base station coverage Team, then micro-base station enter next closing window.
A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station, is comprised the following steps:
S1:The working time of micro-base station is divided into several time slots, micro-base station is predicted using wavelet-neural network model The business arrival rate of next time slot Microcell;
S2:The mode of operation of micro-base station is divided into activation pattern and park mode, original state is activation pattern;According to industry The prediction for arrival rate of being engaged in and Time Delay of Systems restrictive condition select the mode of operation of micro-base station;
S3:When micro-base station is in activation pattern, the business in Microcell is handled by micro-base station;When micro-base station is in dormancy During pattern, optimal sleep time is calculated, the business in park mode, Microcell is selected by macro base station collaborative process.
Further, the park mode includes either shallow park mode, deep power down mode and close pattern;Every kind of Working mould Energy consumption under formula is reduced successively, and the response time for returning to activation pattern raises successively.
Further, the close pattern, deep power down mode, the selection priority of either shallow park mode are reduced successively.
Further, the micro-base station can only select a kind of park mode in a time slot.
Further, the park mode is specially:When the service buffer of micro-base station is space-time, micro-base station enters a duration For t sleep window, the business reached during micro-base station dormancy is by macro base station collaborative process;It is micro- at the end of sleep window Base station can judge whether to return to activation pattern according to now accumulation situation of the intra-cell traffic in macro base station side;If macro base station is assisted The micro-base station is helped to handle all business, then micro-base station enters next sleep window;If macro base station does not assist the micro-base station All business are handled, then micro-base station enters activation pattern, the dormancy again when not having service request in the cell.
Further, the park mode of the micro-base station is specially:Micro-base station only has the necessary device work in part, it is impossible to The user serviced provides data, services;The activation pattern of the micro-base station is:All devices are in opening, can be to being taken User's downlink transmission data of business.
Further, the transmission power of the micro-base station meets the geographic area of its radiation not less than the minimum business biography of mobile station The summation in the region of defeated requirement.
Further, the optimal sleep time of the micro-base station by wavelet-neural network model to next time slot services arrival rate Prediction and business average delay constraint determine.
Further, the prediction and Time Delay of Systems restrictive condition according to business arrival rate selects the mode of operation of micro-base station Specially:Micro-base station is after a sleep window t is determined, if can be completed within the t times from park mode to activation pattern Switching, then micro-base station enter park mode, otherwise will not enter park mode.
The beneficial effects of the present invention are:The present invention cooperates and controlled micro-base station dormancy time with micro-base station using macro base station The mode that parameter is combined, the volume type to business is predicted, and selects the mode of operation of micro-base station, before business change The micro-base station running parameter of next time slot is controlled in advance, is finally reached the purpose for improving energy-conservation gain.
Brief description of the drawings
In order that the purpose of the present invention, technical scheme and beneficial effect are clearer, the present invention provides drawings described below and carried out Explanation:
Fig. 1 provides the network topology structure figure that micro-base station is in active mode for the present invention;
Fig. 2 provides the network topology structure figure that micro-base station is in park mode for the present invention;
Fig. 3 is the prediction model based on wavelet neural network block diagram that proposes in the present invention;
Fig. 4 is the macro base station flow chart of the cooperation shut-off power-economizing method proposed in the present invention;
Fig. 5 is the micro-base station flow chart of the cooperation shut-off power-economizing method proposed in the present invention;
Fig. 6 is overall flow figure of the invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Fig. 1 is micro-base station active mode lower network topology diagram provided in an embodiment of the present invention, as illustrated, at this In inventive embodiments, a macrocell includes a macro base station and several micro-base stations.In highly dense scene, there are several heat Point, each hot spot region there may be several micro-base stations.User can be between micro-base station and macro base station, micro-base station and micro- base According to certain regular free switching between standing.Region A represents the region that macro base station can be serviced in figure, and region B represents some The region that micro-base station can be serviced.In micro-base station, its regional extent represents that the current micro-base station is in open mode for solid line.
Fig. 2 is micro-base station park mode lower network topology diagram provided in an embodiment of the present invention, as illustrated, at this In inventive embodiments, a macrocell includes a macro base station and several micro-base stations.In highly dense scene, there are several heat Point, each hot spot region there may be several micro-base stations.User can be between micro-base station and macro base station, micro-base station and micro- base According to certain regular free switching between standing.Region A represents the region that macro base station can be serviced in figure, and region B represents some The region that micro-base station can be serviced.In micro-base station, its regional extent represents the current micro-base station in a dormant state for dotted line.
Fig. 3 be the embodiment of the present invention traffic forecast in the case of macro base station cooperated with micro-base station, wavelet neural network prediction Illustraton of model.Input layer contains four expression predicted values in the present invention, is made according to the value of leading slots;Hidden layer contains seven Individual node;Output layer contains a node.
Fig. 6 is the overall flow figure of the method for the invention, and wherein step, which can be sketched, is:
Step 1:Micro-base station uses the forecast model after study under according to the value of the above business arrival rate of four time slots The business arrival rate of individual time slot is predicted;
Step 2:According to micro-base station in the prediction of business arrival rate and Time Delay of Systems restrictive condition calculating current time slots most Good sleep time;
Step 3:The optimal sleep time of micro-base station that is obtained according to step 2 selects the park mode of micro-base station;
Step 4:According to the obtained micro-base station dormancy of step 1-3 and cooperation parameter, micro-base station is with macro base station in next time slot It is initially that as shown in Figure 4, Figure 5, it is concretely comprised the following steps just according to these parameter collaborative process data:
Step 4A:Macro base station is synchronous in time with micro-base station, and in time slot start time, micro-base station coverage does not have industry Business request, therefore micro-base station enters a sleep window phase with certain time length.When sleep window starts, system is obtained The time span of this sleep window is arrived, this time span can be constant (i.e. each sleep window time span phase The random number produced together) or with certain rule.
When micro-base station is in park mode, micro-base station can not processing business.Now original micro-base station service area The business in domain, request macro base station processing.
Step 4B:Cell macro base station is constantly in open mode, is closed when micro-base station is in one in window, there is new industry When business is reached, business reaches macro base station side.
Now in intensive scene, the service request under all micro-base stations in a dormant state is suitable according to time order and function Sequence is in macro base station queuing receiving service.
Step 4C:It is in micro-base station and closes window phase, the new business for reaching macro base station is by macro base station collaborative process.
Step 4D:Micro-base station will make decisions after certain sleep window terminates in this finish time, certainly Determine whether micro-base station is opened.
Judgment condition is:At the end of micro-base station dormancy, if there is business waiting base station processing.Here business is to belong to Service request in this micro-base station process range.
Court verdict is "Yes":Then following micro-base station will be opened.
Court verdict is "No":Then following micro-base station will enter the micro-base station sleep window of next certain time length.
Step 4E:After micro-base station closing, whether micro-base station is to opening base station and judging, court verdict is "Yes", micro- Base station, which is opened, enters activation pattern.
Now, all modules of micro-base station will all be opened, and receive the control information of macro base station.Will be currently without having handled Business all handled by micro-base station.And the time sequencing queuing still according to beginning is handled by micro-base station.
Step 4F:When micro-base station is opened, newly arrived low capacity business directly reaches micro-base station.
Step 4G:Enter next sleep window after micro-base station has handled currently all business.
Finally illustrate, preferred embodiment above is merely illustrative of the technical solution of the present invention and unrestricted, although logical Cross above preferred embodiment the present invention is described in detail, it is to be understood by those skilled in the art that can be Various changes are made to it in form and in details, without departing from claims of the present invention limited range.

Claims (9)

1.一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:该方法包括以下步骤:1. A micro base station energy saving method based on service prediction and macro base station cooperation, characterized in that: the method comprises the following steps: S1:将微基站的工作时间分为若干个时隙,微基站采用小波神经网络模型预测出下一个时隙微小区的业务到达率;S1: Divide the working time of the micro base station into several time slots, and the micro base station uses the wavelet neural network model to predict the service arrival rate of the micro cell in the next time slot; S2:将微基站的工作模式分为激活模式和休眠模式,初始状态为激活模式;根据业务到达率的预测和系统时延限制条件选择微基站的工作模式;S2: divide the working mode of the micro base station into active mode and sleep mode, and the initial state is the active mode; select the working mode of the micro base station according to the prediction of the service arrival rate and the system delay limitation; S3:当微基站处于激活模式时,微小区内的业务由微基站处理;当微基站处于休眠模式时,计算最佳休眠时长,选择休眠模式,微小区内的业务由宏基站协作处理。S3: When the micro base station is in the active mode, the business in the micro cell is processed by the micro base station; when the micro base station is in the sleep mode, calculate the optimal sleep time, select the sleep mode, and the business in the micro cell is processed by the macro base station. 2.如权利要求1所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述休眠模式包括浅度休眠模式、深度休眠模式和关闭模式;每种工作模式下的能耗依次降低,返回到激活模式的响应时间依次升高。2. A method for energy saving of a micro base station based on service prediction and macro base station cooperation as claimed in claim 1, wherein the sleep mode includes a shallow sleep mode, a deep sleep mode and an off mode; The energy consumption decreases in turn, and the response time to return to active mode increases in turn. 3.如权利要求2所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述关闭模式、深度休眠模式、浅度休眠模式的选择优先级依次降低。3 . The method for energy saving of a micro base station based on service prediction and macro base station cooperation according to claim 2 , wherein the selection priorities of the off mode, the deep sleep mode, and the shallow sleep mode decrease in order. 4 . 4.如权利要求1所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述微基站在一个时隙内只能选择一种休眠模式。4 . The method for energy saving of a micro base station based on service prediction and macro base station cooperation according to claim 1 , wherein the micro base station can only select one sleep mode in one time slot. 5 . 5.如权利要求1所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述休眠模式具体为:当微基站的业务缓存为空时,微基站进入一个时长为t的休眠窗口,在微基站休眠期间到达的业务由宏基站协作处理;在休眠窗口结束时,微基站会根据此时小区内业务在宏基站侧的累积情况判断是否返回到激活模式;若宏基站协助该微基站处理完所有业务,则微基站进入下一个休眠窗口;若宏基站没有协助该微基站处理完所有业务,则微基站进入激活模式,直到该小区内没有业务请求时再次休眠。5. A micro base station energy saving method based on service prediction and macro base station cooperation according to claim 1, characterized in that: the sleep mode is specifically: when the service buffer of the micro base station is empty, the micro base station enters a period of time is the dormancy window of t, and the services arriving during the dormancy period of the Femto base station are cooperatively processed by the Macro base station; at the end of the dormancy window, the Femto base station will judge whether to return to the active mode according to the accumulation of business in the cell at the macro base station side at this time; if The macro base station assists the micro base station to process all services, and the micro base station enters the next dormancy window; if the macro base station does not assist the micro base station to process all services, the micro base station enters the activation mode, and sleeps again until there is no service request in the cell . 6.如权利要求1所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述微基站的休眠模式具体为:微基站只有部分必要的器件工作,不能向所服务的用户提供数据服务;所述微基站的激活模式为:所有器件处于开启状态,能向所服务的用户下行传输数据。6. The energy-saving method of a micro base station based on service prediction and macro base station cooperation as claimed in claim 1, wherein the sleep mode of the micro base station is specifically: the micro base station only has some necessary devices to work, and cannot provide information to all The served users provide data services; the activation mode of the micro base station is: all devices are turned on, and can transmit data downlink to the served users. 7.如权利要求1所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述微基站的发射功率满足其辐射的地理区域不小于移动台最低业务传输要求的区域的总和。7. A micro base station energy-saving method based on service prediction and macro base station cooperation as claimed in claim 1, wherein the transmit power of the micro base station satisfies that the geographical area radiated by it is not less than the minimum service transmission requirement of the mobile station The sum of the regions. 8.如权利要求5所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述微基站最佳休眠时长通过小波神经网络模型对下个时隙业务到达率的预测和业务的平均时延约束决定。8. A kind of energy-saving method for micro base stations based on service prediction and macro base station cooperation as claimed in claim 5, characterized in that: the optimum sleep duration of the micro base station is determined by the wavelet neural network model on the service arrival rate of the next time slot The prediction and the average delay constraints of the business are determined. 9.如权利要求1所述的一种基于业务预测和宏基站协作的微基站节能方法,其特征在于:所述根据业务到达率的预测和系统时延限制条件选择微基站的工作模式具体为:微基站在确定了一个休眠窗口t后,若在t时间内能够完成从休眠模式到激活模式的切换,则微基站进入休眠模式,否则不会进入休眠模式。9. A micro base station energy saving method based on service prediction and macro base station cooperation as claimed in claim 1, characterized in that: said selection of the working mode of the micro base station according to the prediction of service arrival rate and the system delay limitation is specifically : After the Femto base station determines a sleep window t, if the switch from the sleep mode to the active mode can be completed within t time, the Femto base station will enter the sleep mode, otherwise it will not enter the sleep mode.
CN201710325631.4A 2017-05-10 2017-05-10 A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station Pending CN106941712A (en)

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CN111487579A (en) * 2019-01-28 2020-08-04 上海七桥机器人有限公司 Ranging method and device for movable device
CN112492667A (en) * 2020-10-22 2021-03-12 中通服咨询设计研究院有限公司 Data processing method, system and controller based on intelligent base station
CN112533270A (en) * 2020-12-16 2021-03-19 中国联合网络通信集团有限公司 Base station energy-saving processing method and device, electronic equipment and storage medium
CN114554576A (en) * 2021-12-28 2022-05-27 中国电信股份有限公司 Energy-saving method and device and macro base station
CN114760677A (en) * 2022-04-20 2022-07-15 中国移动通信集团广东有限公司 Energy-saving method and device for micro-station room in different scenes
CN117880938A (en) * 2022-11-15 2024-04-12 中兴通讯股份有限公司 A communication equipment power supply energy-saving control method, device and system

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