CN103607716B

CN103607716B - High energy efficiency mixed-bandwidth distribution transmission method and equipment in a kind of heterogeneous wireless network

Info

Publication number: CN103607716B
Application number: CN201310549613.6A
Authority: CN
Inventors: 张兴; 黄宇; 王文博
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2013-11-07
Filing date: 2013-11-07
Publication date: 2016-08-31
Anticipated expiration: 2033-11-07
Also published as: CN103607716A

Abstract

The invention discloses a method and equipment for high-energy-efficiency hybrid bandwidth allocation and transmission in a heterogeneous wireless network. The method includes: a network side device determines the ratio ν _m of the service rate per unit area in a hotspot area and the service rate per unit area in a non-hotspot area, and determines the hotspot The ratio γ _m of the area area to the area of the non-hot spot area; the network side device uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station and the optimal orthogonal bandwidth of the macro base station in the heterogeneous network , the optimal multiplexing bandwidth of the micro base station and the macro base station. In the embodiment of the present invention, the utilization rate of power and spectrum resources in the heterogeneous network can be improved, and at the same time, the service transmission requirements of users in hotspot areas and users in non-hotspot areas can be met, and the service quality of users in hotspot areas and users in non-hotspot areas can be effectively guaranteed, significantly Improve system transmission energy efficiency and system throughput.

Description

A method and device for energy-efficient hybrid bandwidth allocation and transmission in a heterogeneous wireless network

技术领域technical field

本发明涉及通信技术领域，尤其是涉及了一种异构无线网络中高能效混合带宽分配传输方法和设备。The present invention relates to the field of communication technology, in particular to an energy-efficient hybrid bandwidth allocation transmission method and equipment in a heterogeneous wireless network.

背景技术Background technique

近年来，无线通信网络规模和业务速率均呈快速爆炸增长态势。国际电联最新数据显示，截至2010年底全球手机用户已达53亿，其中9.4亿为3G以上宽带用户。因此，随着信息产业与工业应用领域的进一步结合以及物联网时代的到来，通信业务需求仍将有大幅度增长，网络建设规模也将持续扩大。In recent years, the scale and service rate of wireless communication networks have shown a rapid explosive growth trend. According to the latest data from ITU, by the end of 2010, the global mobile phone users had reached 5.3 billion, of which 940 million were 3G and above broadband users. Therefore, with the further integration of the information industry and industrial application fields and the advent of the Internet of Things era, the demand for communication services will continue to increase significantly, and the scale of network construction will continue to expand.

用户在时间、空间、业务内容等多个维度会具有明显的群体行为规律，对无线网络的能效造成较大影响。然而，当前对无线网络能效的研究中，多以用户个体行为互相独立为研究前提，缺乏针对用户群体行为对网络能效影响的定量分析，因此用户群体行为与网络能效的关联关系尚不明确。Users will have obvious group behavior rules in multiple dimensions such as time, space, and business content, which will have a great impact on the energy efficiency of wireless networks. However, most of the current research on wireless network energy efficiency is based on the independent behavior of individual users, and there is a lack of quantitative analysis of the impact of user group behavior on network energy efficiency. Therefore, the relationship between user group behavior and network energy efficiency is still unclear.

此外，当前异构网络正成为未来无线网络的发展方向之一，因此在异构网络中的频谱（即带宽）分配问题必将会受到广泛关注。In addition, the current heterogeneous network is becoming one of the development directions of the future wireless network, so the frequency spectrum (ie bandwidth) allocation in the heterogeneous network will definitely receive extensive attention.

现有的同构网络中，频率资源的分配主要由小区间干扰决定，因此同构网络中分配频率资源的方式不能应用到异构网络中，即在异构网络中需要重新考虑不同层基站服务的用户群体差异和服务区域不同所带来的制约。In the existing homogeneous network, the allocation of frequency resources is mainly determined by inter-cell interference. Therefore, the method of allocating frequency resources in the homogeneous network cannot be applied to the heterogeneous network, that is, in the heterogeneous network, it is necessary to reconsider the service of different layers of base stations. The constraints brought about by differences in user groups and service areas.

发明内容Contents of the invention

本发明实施例提供一种异构无线网络中高能效混合带宽分配传输方法和设备，以重新考虑宏基站和微基站频谱分配方式，提高频谱资源利用率。Embodiments of the present invention provide an energy-efficient hybrid bandwidth allocation and transmission method and equipment in a heterogeneous wireless network, so as to reconsider the spectrum allocation mode of a macro base station and a micro base station, and improve spectrum resource utilization.

为达到上述目的，本发明实施例提供一种异构无线网络中高能效混合带宽分配传输方法，所述方法包括以下步骤：To achieve the above purpose, an embodiment of the present invention provides an energy-efficient hybrid bandwidth allocation and transmission method in a heterogeneous wireless network, the method includes the following steps:

网络侧设备确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m，并确定热点区域面积和非热点区域面积的比例γ_m；The network side equipment determines the ratio ν _m of the service rate per unit area in the hotspot area and the business rate per unit area in the non-hotspot area, and determines the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area;

所述网络侧设备利用所述ν_m和所述γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽。The network side device uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station in the heterogeneous network .

在宏基站和微基站之间采用完全正交频谱的带宽资源配置方式的情况下，所述网络侧设备利用所述ν_m和所述γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽，包括：In the case that the bandwidth resource allocation method of completely orthogonal spectrum is adopted between the macro base station and the micro base station, the network side device uses the ν _m and the γ _m to determine the optimal orthogonality of the micro base station in the heterogeneous network Bandwidth, optimal orthogonal bandwidth of macro base station, optimal multiplexing bandwidth of micro base station and macro base station, including:

所述网络侧设备利用如下公式计算宏基站的最优正交带宽：The network side device calculates the optimal orthogonal bandwidth of the macro base station using the following formula:

$| | {B B}_{M m}^{opt opt} | | = = | | B B | | {(({((\frac{{v v}_{m m} {P P}_{m m}^{c c}}{{P P}_{M m}^{c c}}))}^{11 / / 22} + + 11))}^{- - 11};;$

所述网络侧设备利用如下公式计算微基站的最优正交带宽：The network side device uses the following formula to calculate the optimal orthogonal bandwidth of the micro base station:

$| | {B B}_{m m}^{opt opt} | | = = | | B B | | {(({((\frac{{P P}_{M m}^{c c}}{{v v}_{m m} {P P}_{m m}^{c c}}))}^{11 / / 22} + + 11))}^{- - 11};;$

所述网络侧设备确定微基站以及宏基站的最优复用带宽为0；The network side device determines that the optimal multiplexing bandwidth of the micro base station and the macro base station is 0;

其中，为宏基站的最优正交带宽，为微基站的最优正交带宽，B为总带宽，为微基站的固定功率，为宏基站固定功率。in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, B is the total bandwidth, is the fixed power of the micro base station, Fixed power for macro base stations.

在宏基站和微基站之间采用部分频谱资源复用的带宽资源配置方式的情况下，网络侧设备利用所述ν_m和所述γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽，包括：In the case where the bandwidth resource allocation method of partial spectrum resource multiplexing is adopted between the macro base station and the micro base station, the network side equipment uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station in the heterogeneous network , the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station, including:

$| | {B B}_{M m}^{opt opt} | | = = 00;;$

$| | {B B}_{m m}^{opt opt} | | = = | | {B B}_{l l} | | \frac{{(({v v}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22} - - {γ γ}_{m m}}{11 + + {(({v v}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22}};;$

所述网络侧设备利用如下公式计算微基站以及宏基站的最优复用带宽：The network side device uses the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

$| | {B B}_{s the s}^{opt opt} | | = = | | {B B}_{l l} | | \frac{11 + + {γ γ}_{m m}}{11 + + {(({v v}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22}};;$

其中，为宏基站的最优正交带宽，为微基站的最优正交带宽，为微基站以及宏基站的最优复用带宽，Bl为低频段的总带宽，为微基站的固定功率，为宏基站固定功率，为低频段的发射功率。in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, Bl is the total bandwidth of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmit power in the low frequency band.

在宏基站和微基站之间采用部分高频带的频谱资源复用的带宽资源配置方式的情况下，所述网络侧设备利用所述νm和所述γm确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽，包括：所述网络侧设备利用如下公式计算宏基站的最优正交带宽：In the case that the bandwidth resource configuration method of multiplexing spectrum resources in part of the high frequency band is adopted between the macro base station and the micro base station, the network side device uses the νm and the γm to determine the maximum value of the micro base station in the heterogeneous network The optimal orthogonal bandwidth, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station include: the network side device calculates the optimal orthogonal bandwidth of the macro base station using the following formula:

$| | {B B}_{M m}^{opt opt} | | = = 00;;$

$| | {B B}_{s the s}^{opt opt} | | = = \frac{(({γ γ}_{m m} + + 11)) | | {B B}_{h h} | | \overset{~ ~}{r r} (({α α}_{h h})) + + (({γ γ}_{m m} + + 11)) | | {B B}_{l l} | | \overset{~ ~}{r r} (({α α}_{l l}))}{{\overset{~ ~}{r r} (({α α}_{l l})) + + {v v}_{m m}^{11 / / 22} \overset{~ ~}{r r} (({α α}_{l l})) {P P}_{M m}^{c c}}^{- - \frac{11}{22}} {((| | {B B}_{h h} | | {P P}_{m m}^{h h} + + | | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))}^{11 / / 22}};;$

$| | {B B}_{m m}^{opt opt} | | = = | | {B B}_{l l} | | - - | | {B B}_{s the s}^{opt opt} | |;;$

其中，为宏基站的最优正交带宽，为微基站的最优正交带宽，为微基站以及宏基站的最优复用带宽，B_l为低频段的总带宽，B_h为高频段的带宽值，为基站覆盖范围内的速率，α_h为高频段的路损因子，α_l为低频段的路损因子，为微基站的固定功率，为宏基站固定功率，为低频段的发射功率，为高频段的发射功率。in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B _l is the total bandwidth of the low frequency band, B _h is the bandwidth value of the high frequency band, is the rate within the coverage of the base station, α _h is the path loss factor of the high frequency band, and α _l is the path loss factor of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmission power in the low frequency band, is the transmit power in the high frequency band.

所述网络侧设备确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m，确定热点区域面积和非热点区域面积的比例γ_m后，所述方法还包括：所述网络侧设备利用所述ν_m和所述γ_m确定异构网络中的用户聚集系数h，所述用户聚集系数h定量反映用户群体行为规律，且用户群体行为规律通过用户行为曲线表征；其中，用户行为曲线的横轴对应在观察区间内的累计时间或累计面积或累计内容，纵轴代表累计的业务速率，用户行为曲线的下凹程度代表了用户行为聚集程度，如果用户行为曲线越平，则说明用户行为差异性越小，如果用户行为曲线越下凹，则说明用户行为差异性越大。The network side device determines the ratio ν _m of the service rate per unit area in the hotspot area and the service rate per unit area in the non-hotspot area, and after determining the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area, the method further includes: the network side The device uses the ν _m and the γ _m to determine the user aggregation coefficient h in the heterogeneous network, the user aggregation coefficient h quantitatively reflects the user group behavior rule, and the user group behavior rule is represented by the user behavior curve; wherein, the user behavior The horizontal axis of the curve corresponds to the cumulative time or cumulative area or cumulative content in the observation interval, the vertical axis represents the cumulative business rate, and the concave degree of the user behavior curve represents the degree of user behavior aggregation. If the user behavior curve is flatter, it means The smaller the difference in user behavior, the more concave the user behavior curve is, the greater the difference in user behavior.

所述网络侧设备利用所述ν_m和所述γ_m确定异构网络中的用户聚集系数h，具体包括：所述网络侧设备利用如下公式确定异构网络中的用户聚集系数h：The network-side device uses the ν _m and the γ _m to determine the user aggregation coefficient h in the heterogeneous network, specifically including: the network-side device determines the user aggregation coefficient h in the heterogeneous network using the following formula:

$h h = = \{\begin{matrix} \frac{{γ γ}_{m m} {v v}_{m m}}{{γ γ}_{m m} {v v}_{m m} + + 11} - - \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} & {v v}_{m m} > > 11 \\ \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} - - \frac{{γ γ}_{m m} {v v}_{m m}}{{γ γ}_{m m} {v v}_{m m} + + 11} & {v v}_{m m} < < 11 \end{matrix} . .$

本发明实施例提供一种网络侧设备，该网络侧设备包括：An embodiment of the present invention provides a network side device, and the network side device includes:

确定模块，用于确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m，并确定热点区域面积和非热点区域面积的比例γ_m；The determination module is used to determine the ratio ν _m of the business rate per unit area in the hotspot area and the business rate per unit area in the non-hotspot area, and determine the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area;

处理模块，利用所述ν_m和所述γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽。The processing module uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, and the optimal multiplexing bandwidth of the micro base station and the macro base station in the heterogeneous network.

所述处理模块，具体用于在宏基站和微基站之间采用完全正交频谱的带宽资源配置方式的情况下，利用如下公式计算宏基站的最优正交带宽：The processing module is specifically used to calculate the optimal orthogonal bandwidth of the macro base station by using the following formula when the bandwidth resource configuration mode of a completely orthogonal spectrum is adopted between the macro base station and the micro base station:

利用如下公式计算微基站的最优正交带宽：Use the following formula to calculate the optimal orthogonal bandwidth of the micro base station:

确定微基站以及宏基站的最优复用带宽为0；Determine the optimal multiplexing bandwidth of the micro base station and the macro base station as 0;

在宏基站和微基站之间采用部分频谱资源复用的带宽资源配置方式的情况下，利用如下公式计算宏基站的最优正交带宽：In the case of using the bandwidth resource configuration method of multiplexing part of spectrum resources between the macro base station and the micro base station, the optimal orthogonal bandwidth of the macro base station is calculated using the following formula:

$| | {B B}_{M m}^{opt opt} | | = = 00;;$

利用如下公式计算微基站以及宏基站的最优复用带宽：Use the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

在宏基站和微基站之间采用部分高频带的频谱资源复用的带宽资源配置方式的情况下，利用如下公式计算宏基站的最优正交带宽：In the case of using the bandwidth resource configuration method of multiplexing spectrum resources in part of the high frequency band between the macro base station and the micro base station, the optimal orthogonal bandwidth of the macro base station is calculated using the following formula:

$| | {B B}_{M m}^{opt opt} | | = = 00;;$

其中，为宏基站的最优正交带宽，为微基站的最优正交带宽，为微基站以及宏基站的最优复用带宽，B为总带宽，B_l为低频段的总带宽，为微基站的固定功率，为宏基站固定功率，为低频段的发射功率，B_h为高频段的带宽值，为基站覆盖范围内的速率，α_h为高频段的路损因子，α_l为低频段的路损因子，为高频段的发射功率。in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B is the total bandwidth, and _B1 is the total bandwidth of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmission power of the low frequency band, B _h is the bandwidth value of the high frequency band, is the rate within the coverage of the base station, α _h is the path loss factor of the high frequency band, and α _l is the path loss factor of the low frequency band, is the transmit power in the high frequency band.

所述确定模块，还用于利用所述ν_m和所述γ_m确定异构网络中的用户聚集系数h，所述用户聚集系数h定量反映用户群体行为规律，且用户群体行为规律通过用户行为曲线表征；其中，用户行为曲线的横轴对应在观察区间内的累计时间或累计面积或累计内容，纵轴代表累计的业务速率，用户行为曲线的下凹程度代表了用户行为聚集程度，如果用户行为曲线越平，则说明用户行为差异性越小，如果用户行为曲线越下凹，则说明用户行为差异性越大。The determination module is also used to determine the user aggregation coefficient h in the heterogeneous network by using the ν _m and the γ _m , and the user aggregation coefficient h quantitatively reflects the user group behavior rule, and the user group behavior rule is passed through the user behavior Curve representation; among them, the horizontal axis of the user behavior curve corresponds to the cumulative time or cumulative area or cumulative content in the observation interval, the vertical axis represents the cumulative business rate, and the concave degree of the user behavior curve represents the degree of user behavior aggregation. If the user The flatter the behavior curve, the smaller the difference in user behavior, and the more concave the user behavior curve, the greater the difference in user behavior.

所述确定模块，进一步用于利用如下公式确定异构网络中的用户聚集系数h： $h = \{\begin{matrix} \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} - \frac{γ_{m}}{γ_{m} + 1} & v_{m} > 1 \\ \frac{γ_{m}}{γ_{m} + 1} - \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} & v_{m} < 1 \end{matrix} .$ The determination module is further used to determine the user aggregation coefficient h in the heterogeneous network by using the following formula: $h = \{\begin{matrix} \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} - \frac{γ_{m}}{γ_{m} + 1} & v_{m} > 1 \\ \frac{γ_{m}}{γ_{m} + 1} - \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} & v_{m} < 1 \end{matrix} .$

与现有技术相比，本发明实施例至少具有以下优点：本发明实施例中，基于热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m以及确定热点区域面积和非热点区域面积的比例γ_m，确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽，从而提高异构网络中功率和频谱的资源利用率，同时满足热点区域用户和非热点区域用户的业务传输需求，有效保证热点区域用户和非热点区域用户的服务质量，显著提高系统传输能量效率和系统吞吐量。Compared with the prior art, the embodiment of the present invention has at least the following advantages: In the embodiment of the present invention, based on the ratio ν _m of the service rate per unit area in the hotspot area and the service rate per unit area in the non-hotspot area and determining the area of the hotspot area and the area of the non-hotspot area area ratio γ _m , determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station in the heterogeneous network, thereby improving the power and Spectrum resource utilization can meet the business transmission needs of users in hotspot areas and users in non-hotspot areas at the same time, effectively guarantee the service quality of users in hotspot areas and users in non-hotspot areas, and significantly improve system transmission energy efficiency and system throughput.

附图说明Description of drawings

为了更清楚地说明本发明的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其它的附图。In order to illustrate the technical solution of the present invention more clearly, the accompanying drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. Ordinary technicians can also obtain other drawings based on these drawings without paying creative work.

图1是本发明实施例一中提出的异构分层网络的应用场景示意图；FIG. 1 is a schematic diagram of an application scenario of a heterogeneous layered network proposed in Embodiment 1 of the present invention;

图2是本发明实施例一中提出的一种异构无线网络中高能效混合带宽分配传输方法流程图；FIG. 2 is a flow chart of an energy-efficient hybrid bandwidth allocation and transmission method in a heterogeneous wireless network proposed in Embodiment 1 of the present invention;

图3是本发明实施例一中提出的用户行为分布曲线示意图；FIG. 3 is a schematic diagram of a user behavior distribution curve proposed in Embodiment 1 of the present invention;

图4是本发明实施例一中提出的单频段带宽配置策略的能效对比图；FIG. 4 is a comparison diagram of energy efficiency of the single-band bandwidth allocation strategy proposed in Embodiment 1 of the present invention;

图5是本发明实施例一中提出的多频段带宽配置策略的能效对比图；FIG. 5 is a comparison diagram of energy efficiency of the multi-band bandwidth allocation strategy proposed in Embodiment 1 of the present invention;

图6是本发明实施例二提供的一种网络侧设备结构示意图。FIG. 6 is a schematic structural diagram of a network side device provided by Embodiment 2 of the present invention.

具体实施方式detailed description

下面将结合本发明中的附图，对本发明中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明的一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

实施例一Embodiment one

针对现有技术中存在的问题，本发明实施例一提供一种异构无线网络中高能效混合带宽分配传输方法，以图1所示的异构分层网络的应用场景示意图为例，该方法应用于包括宏基站和微基站的异构网络中。其中，假设宏基站为第一层，且宏基站的位置服从密度λ_M的泊松分布，其发射功率为微基站为第二层，且微基站的位置服从密度λ_m的泊松分布，高频段的发射功率为低频段的发射功率为此外，宏基站的发送功率为P_M，微基站的发送功率为P_m。此外，在频段配置上，假设宏基站和微基站可以在低频段上进行部分频率复用，宏基站使用的正交频段带宽为|B_M|，微基站使用的正交频段带宽为|B_m|，宏基站和微基站共同使用的复用频段带宽为|B_s|。高频段为微基站专用频段，其带宽为假设低频段的路损因子为α_l，高频段的路损因子为α_h。下标M代表宏基站，下标m代表微基站，下标h代表高频带参数，下标l代表低频带参数。此外，宏基站负责覆盖非热点区域，微基站负责覆盖热点区域。Aiming at the problems existing in the prior art, Embodiment 1 of the present invention provides an energy-efficient hybrid bandwidth allocation and transmission method in a heterogeneous wireless network. Taking the application scenario diagram of a heterogeneous layered network shown in FIG. 1 as an example, the method applies In a heterogeneous network including macro base stations and micro base stations. Among them, it is assumed that the macro base station is the first layer, and the position of the macro base station obeys the Poisson distribution of density λ _M , and its transmission power is The micro base station is the second layer, and the position of the micro base station obeys the Poisson distribution of density λ _m , and the transmission power of the high frequency band is The transmit power in the low frequency band is In addition, the transmit power of the macro base station is P _M , and the transmit power of the micro base station is P _m . In addition, in terms of frequency band configuration, it is assumed that the macro base station and the micro base station can perform partial frequency multiplexing in the low frequency band, the bandwidth of the orthogonal frequency band used by the macro base station is |B _M |, and the bandwidth of the orthogonal frequency band used by the micro base station is |B _m |, the bandwidth of the reused frequency band shared by the macro base station and the micro base station is |B _s |. The high frequency band is a dedicated frequency band for micro base stations, and its bandwidth is Assume that the path loss factor of the low frequency band is α _l , and the path loss factor of the high frequency band is α _h . Subscript M stands for macro base station, subscript m stands for micro base station, subscript h stands for high frequency band parameters, and subscript l stands for low frequency band parameters. In addition, macro base stations are responsible for covering non-hotspot areas, and micro base stations are responsible for covering hotspot areas.

在上述应用场景下，如图2所示，该方法至少包括以下步骤：In the above application scenario, as shown in Figure 2, the method at least includes the following steps:

步骤201，网络侧设备确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m，并确定热点区域面积和非热点区域面积的比例γ_m。Step 201, the network side device determines the ratio ν _m of the traffic rate per unit area in the hotspot area and the traffic rate per unit area in the non-hotspot area, and determines the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area.

在具体的实现过程中，可以通过测量等方式，使得网络侧设备能够获知热点区域单位面积业务速率，并能够获知非热点区域单位面积业务速率，继而确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m；可以通过测量等方式，使得网络侧设备能够获知热点区域面积，并能够获知非热点区域面积，继而确定热点区域面积和非热点区域面积的比例γ_m。In the specific implementation process, the network side equipment can know the service rate per unit area of the hotspot area and the service rate per unit area of the non-hotspot area through measurement and other methods, and then determine the service rate per unit area of the hotspot area and the unit area of the non-hotspot area The ratio of area service rate ν _m ; the network side equipment can know the area of the hotspot area and the area of the non-hotspot area by means of measurement, etc., and then determine the ratio γ _m of the area of the hotspot area and the area of the non-hotspot area.

步骤202，网络侧设备利用热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m以及热点区域面积和非热点区域面积的比例γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽，该最优复用带宽也可以称为最优共享带宽。Step 202, the network-side device uses the ratio ν _m of the service rate per unit area in the hotspot area to the service rate per unit area in the non-hotspot area, and the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area to determine the optimal regularity of the micro base station in the heterogeneous network. The orthogonal bandwidth, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station, the optimal multiplexing bandwidth may also be called the optimal shared bandwidth.

在本发明实施例的具体实现方式中，网络侧设备利用ν_m和γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽的过程，具体包括但不限于如下处理方式：In the specific implementation of the embodiment of the present invention, the network side device uses ν _m and γ _m to determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, the optimal orthogonal bandwidth of the micro base station and the macro base station in the heterogeneous network. The process of optimal bandwidth multiplexing includes but is not limited to the following processing methods:

方式一、正交频谱的带宽配置策略，在宏基站和微基站之间采用完全正交频谱的带宽资源配置方式的情况下，此时业务需求比较低，低频带的带宽有富余，宏基站和微基站可以采用完全正交频谱的带宽资源配置方式，则：Method 1. Orthogonal spectrum bandwidth allocation strategy. In the case where the bandwidth resource allocation method of completely orthogonal spectrum is adopted between the macro base station and the micro base station, the service demand is relatively low at this time, and the bandwidth of the low frequency band is surplus. The macro base station and the micro base station The micro base station can adopt the bandwidth resource configuration method of completely orthogonal spectrum, then:

网络侧设备利用如下公式计算宏基站的最优正交带宽：The network side equipment uses the following formula to calculate the optimal orthogonal bandwidth of the macro base station:

网络侧设备利用如下公式计算微基站的最优正交带宽：The network side equipment uses the following formula to calculate the optimal orthogonal bandwidth of the micro base station:

网络侧设备确定微基站以及宏基站的最优复用带宽为0；The network side device determines that the optimal multiplexing bandwidth of the micro base station and the macro base station is 0;

在上述公式中，为宏基站的最优正交带宽，为微基站的最优正交带宽，B为总带宽，为微基站的固定功率，为宏基站固定功率。In the above formula, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, B is the total bandwidth, is the fixed power of the micro base station, Fixed power for macro base stations.

方式二、部分频率复用的带宽配置策略，在宏基站和微基站之间采用部分频谱资源复用的带宽资源配置方式的情况下，此时业务需求比较高，低频带的带宽不足以支持微基站以及宏基站采用部分复用频谱，需要有部分频谱资源进行复用，以扩大系统容量，此时低频段采用部分频分复用的方式，则：Method 2. Bandwidth configuration strategy of partial frequency reuse. When the bandwidth resource configuration method of partial spectrum resource reuse is adopted between the macro base station and the micro base station, the service demand is relatively high at this time, and the bandwidth of the low frequency band is not enough to support the micro base station. The base station and the macro base station use part of the multiplexed spectrum, and some spectrum resources are needed for multiplexing to expand the system capacity. At this time, the low frequency band adopts the method of partial frequency division multiplexing, then:

$| | {B B}_{M m}^{opt opt} | | = = 00;;$

网络侧设备利用如下公式计算微基站以及宏基站的最优复用带宽：The network side equipment uses the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

在上述公式中，为宏基站的最优正交带宽，为微基站的最优正交带宽，为微基站以及宏基站的最优复用带宽，B_l为低频段的总带宽，为微基站的固定功率，为宏基站固定功率，为低频段的发射功率。In the above formula, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B ₁ is the total bandwidth of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmit power in the low frequency band.

方式三、高低频段混合的带宽配置策略，在宏基站和微基站之间采用部分高频带的频谱资源复用的带宽资源配置方式的情况下，此时业务需求非常高，低频带的带宽即使全部复用也不足以满足业务需求，因此微基站需要使用一部分高频带的频谱资源进行传输，以再次扩大系统容量，则：Method 3. Mixed bandwidth configuration strategy of high and low frequency bands. When the bandwidth resource configuration method of multiplexing part of the high-frequency spectrum resources is used between the macro base station and the micro base station, the service demand is very high at this time, and the bandwidth of the low-frequency band is even All multiplexing is not enough to meet business needs, so the micro base station needs to use a part of high-frequency spectrum resources for transmission to expand the system capacity again, then:

$| | {B B}_{M m}^{opt opt} | | = = 00;;$

在上述公式中，为宏基站的最优正交带宽，为微基站的最优正交带宽，为微基站以及宏基站的最优复用带宽，B_l为低频段的总带宽，B_h为高频段的带宽值，为基站覆盖范围内的速率，α_h为高频段的路损因子，α_l为低频段的路损因子，为微基站的固定功率，为宏基站固定功率，为低频段的发射功率，为高频段的发射功率。In the above formula, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B _l is the total bandwidth of the low frequency band, B _h is the bandwidth value of the high frequency band, is the rate within the coverage of the base station, α _h is the path loss factor of the high frequency band, and α _l is the path loss factor of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmission power in the low frequency band, is the transmit power in the high frequency band.

以下结合具体的应用对上述公式的生成过程进行进一步的阐述。The generation process of the above formula will be further described below in conjunction with specific applications.

假设宏基站为第一层，宏基站的位置服从密度λ_M的泊松分布，发射功率为微基站为第二层，且微基站的位置服从密度λ_m的泊松分布。宏基站的发送功率为P_M，微基站的发送功率为P_m。下标M代表宏基站，下标m代表微基站，下标h代表高频带参数，下标l代表低频带参数。为宏基站的最优正交带宽，为微基站的最优正交带宽，为微基站以及宏基站的最优复用带宽，Bl为低频段的总带宽，Bh为高频段的带宽值，为基站覆盖范围内的速率，α_h为高频段的路损因子，α_l为低频段的路损因子，为微基站的固定功率，为宏基站固定功率，为低频段的发射功率，为高频段的发射功率。Assuming that the macro base station is the first layer, the position of the macro base station obeys the Poisson distribution of density λ _M , and the transmission power is The micro base station is the second layer, and the position of the micro base station obeys the Poisson distribution of density λ _m . The sending power of the macro base station is P _M , and the sending power of the micro base station is P _m . Subscript M stands for macro base station, subscript m stands for micro base station, subscript h stands for high frequency band parameters, and subscript l stands for low frequency band parameters. is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, Bl is the total bandwidth of the low frequency band, Bh is the bandwidth value of the high frequency band, is the rate within the coverage of the base station, α _h is the path loss factor of the high frequency band, and α _l is the path loss factor of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmission power in the low frequency band, is the transmit power in the high frequency band.

运用随机几何等理论，可以利用如下公式得到用户处于任意一层基站覆盖范围内的速率： $\tilde{r} k (α_{f}) = \frac{F_{1}^{2} (1,2 / α_{f}, 1 + 2 / α_{f}, - 1 / β) α_{f} π}{2 C (α_{f}) β^{{2 / α}_{f}}} + \frac{π 1 og (1 + β)}{C (α_{f}) β^{2 / α}}, f &Element; {l, h};$ 在上述公式中， ₂F₁为超几何函数，具体的超几何函数本发明实施例中不再详加赘述，α为路损因子，且2≤α≤5。Using stochastic geometry and other theories, the following formula can be used to obtain the rate at which a user is within the coverage area of any layer of base station: $\tilde{r} k (α_{f}) = \frac{f_{1}^{2} (1,2 / α_{f}, 1 + 2 / α_{f}, - 1 / β) α_{f} π}{2 C (α_{f}) β^{{2 / α}_{f}}} + \frac{π 1 og (1 + β)}{C (α_{f}) β^{2 / α}}, f &Element; {l, h};$ In the above formula, ₂ F ₁ is a hypergeometric function, the specific hypergeometric function will not be described in detail in this embodiment of the present invention, α is a path loss factor, and 2≤α≤5.

微基站在高频的传输速率为：在低频段上的正交频率上宏基站、微基站的速率为：在低频段的共享带宽上，由于宏基站和微基站共用频段，两个基站层会互相干扰，导致传输速率的计算变得更加复杂，运用随机几何理论，可以得到宏基站和微基站在共享带宽上的传输速率为： The transmission rate of the micro base station at high frequency is: The rate of macro base station and micro base station on the orthogonal frequency in the low frequency band for: In the shared bandwidth of the low frequency band, since the macro base station and the micro base station share the frequency band, the two base station layers will interfere with each other, resulting in more complicated calculation of the transmission rate. Using random geometry theory, the shared bandwidth between the macro base station and the micro base station can be obtained The transfer rate on is:

进一步的，本发明实施例中，通过使用宏基站对非热点区域进行覆盖，从而提供广域的覆盖范围，并使用微基站对热点区域进行覆盖，从而提供高速率的支持。因此，可以将热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m表达为：此外，还可以将热点区域面积和非热点区域面积的比例γ_m表达为 Further, in the embodiment of the present invention, the macro base station is used to cover the non-hotspot area to provide wide-area coverage, and the micro base station is used to cover the hotspot area to provide high-speed support. Therefore, the ratio ν _m of the service rate per unit area in the hotspot area and the service rate per unit area in the non-hotspot area can be expressed as: In addition, the ratio γ _m of the area of the hotspot area and the area of the non-hotspot area can also be expressed as

本发明实施例中，针对网络中双区域用户分布不均匀的场景，对异构网络中的微基站，宏基站在高频段、低频段的带宽进行的最优化配置，使得异构网络的能效达到最优值，同时满足网络中用户群体行为的特征。按照业务量大小的不同，对带宽进行最优化配置时可以分成三种情况进行分析。In the embodiment of the present invention, aiming at the scenario where users in two regions are unevenly distributed in the network, the bandwidth of the micro base station and the macro base station in the heterogeneous network are optimally configured in the high frequency band and the low frequency band, so that the energy efficiency of the heterogeneous network reaches The optimal value satisfies the characteristics of user group behavior in the network at the same time. According to the different business volumes, the optimal allocation of bandwidth can be divided into three situations for analysis.

（1）正交频谱的带宽配置策略。在业务需求比较低的情况下，低频带的带宽有富余，此时宏基站和微基站可以采用完全正交频谱的带宽资源配置方式，通过对异构网络频谱进行优化，目标是最大化网络能效，限制条件是满足热点区域单位面积业务速率和非热点区域单位面积业务速率的比例，以及热点区域面积和非热点区域面积的比例，由此可以给出如下优化问题：(1) Bandwidth allocation strategy for orthogonal spectrum. In the case of relatively low business demand, there is a surplus of bandwidth in the low-frequency band. At this time, the macro base station and the micro base station can adopt the bandwidth resource allocation method of a completely orthogonal spectrum. By optimizing the spectrum of the heterogeneous network, the goal is to maximize the energy efficiency of the network. , the constraint condition is to satisfy the ratio of the business rate per unit area in the hotspot area to the business rate per unit area in the non-hotspot area, and the ratio of the area of the hotspot area to the area of the non-hotspot area, so the following optimization problem can be given:

$\begin{matrix} \underset{| | {B B}_{m m} | |,, | | {B B}_{M m} | |}{max max} EE EE = = \frac{{R R}_{m m}^{o o} (({α α}_{l l},, | | {B B}_{m m} | |)) + + {R R}_{M m}^{o o} (({α α}_{l l} | | {B B}_{M m} | |))}{{λ λ}_{m m} | | {B B}_{m m} | | {P P}_{m m}^{l l} + + {λ λ}_{M m} | | {B B}_{M m} | | {P P}_{M m}^{l l} + + {λ λ}_{m m} {P P}_{m m}^{c c} + + {λ λ}_{M m} {P P}_{M m}^{c c}} \\ s the s . . t t . . {γ γ}_{m m} = = \frac{{λ λ}_{m m} {P P}_{m m}^{l l 22 / / α α}}{{λ λ}_{M m} {P P}_{M m}^{l l 22 / / α α}} \\ {v v}_{m m} = = \frac{{R R}_{M m}^{o o} (({α α}_{l l},, | | {B B}_{m m} | |))}{{R R}_{M m}^{o o} (({α α}_{l l},, | | {B B}_{M m} | |))} \end{matrix};;$

进一步的，通过对上述的目标函数进行化简，可以得到如下的能效表达式： $EE = \frac{v_{m} D_{l} + D_{l}}{v_{m} P_{M}^{l} {γ_{m}}^{αl} + P_{M}^{l} + v_{m} P_{m}^{c} {(| B | - | B_{M} |)}^{- 1} + P_{M}^{c} {| B_{M} |}^{- 1}};$ 基于此，之后将上述公式对|B_M|求导，可以得到宏基站的最优正交带宽为并可以进一步得到微基站的最优正交带宽为：此外，还可以进一步得到微基站以及宏基站的最优复用带宽为0。Further, by simplifying the above objective function, the following energy efficiency expression can be obtained: $EE = \frac{v_{m} {D.}_{l} + {D.}_{l}}{v_{m} P_{m}^{l} {γ_{m}}^{αl} + P_{m}^{l} + v_{m} P_{m}^{c} {(| B | - | B_{m} |)}^{- 1} + P_{m}^{c} {| B_{m} |}^{- 1}};$ Based on this, after deriving the above formula with respect to |B _M |, the optimal orthogonal bandwidth of the macro base station can be obtained as And the optimal orthogonal bandwidth of the micro base station can be further obtained as: In addition, it can be further obtained that the optimal multiplexing bandwidth of the micro base station and the macro base station is 0.

（2）部分频率复用的带宽配置策略。在业务需求比较高的情况下，低频带的带宽不足以支持微基站以及宏基站采用部分复用频谱，此时需要有一部分频谱资源进行复用，以扩大系统容量，支持更多的业务需求，此时，低频段采用部分频分复用的方式。针对该场景，由此可以给出如下优化问题：(2) Bandwidth allocation strategy for partial frequency reuse. In the case of relatively high business demand, the bandwidth of the low frequency band is not enough to support the micro base station and the macro base station to use part of the multiplexed spectrum. At this time, a part of the spectrum resource needs to be multiplexed to expand the system capacity and support more business needs. At this time, the low frequency band adopts a partial frequency division multiplexing method. For this scenario, the following optimization problem can be given:

$\begin{matrix} \underset{| | {B B}_{m m} | |,, | | {B B}_{M m} | |,, | | {B B}_{s the s} | |}{max max} EE EE = = \frac{{R R}_{m m}^{l l} (({α α}_{l l},, | | {B B}_{m m} | |,, | | {B B}_{s the s} | |)) + + {R R}_{M m}^{l l} (({α α}_{l l},, | | {B B}_{M m} | |,, | | {B B}_{s the s} | |))}{{λ λ}_{m m} ((| | {B B}_{m m} | | + + | | {B B}_{s the s} | |)) {P P}_{m m}^{l l} + + {λ λ}_{M m} ((| | {B B}_{M m} | | + + | | {B B}_{s the s} | |)) {P P}_{M m}^{l l} + + {λ λ}_{m m} {P P}_{m m}^{c c} + + {λ λ}_{M m} {P P}_{M m}^{c c}} \\ s the s . . t t . . {γ γ}_{m m} = = \frac{{λ λ}_{m m} {P P}_{m m}^{22 / / α α}}{{λ λ}_{M m} {P P}_{M m}^{22 / / α α}},, {v v}_{m m} = = \frac{{R R}_{m m}^{l l} (({α α}_{l l},, | | {B B}_{m m} | |,, | | {B B}_{s the s} | |))}{{R R}_{M m}^{l l} (({α α}_{l l},, | | {B B}_{M m} | |,, | | {B B}_{s the s} | |))} \end{matrix};;$

进一步的，在上述公式中，宏基站在正交频段以及共享频段的总速率为： $R_{M}^{l} (α_{l}, | B_{M} |, | B_{s} |) = R_{M}^{o} (α_{l}, | B_{M} |) + R_{M}^{s} (α_{l}, | B_{M} |),$ 此外，微基站在正交频段以及共享频段的总速率为： $R_{m}^{l} (α_{l}, | B_{m} |, | B_{s} |) = R_{m}^{o} (α_{l}, | B_{m} |) + R_{m}^{s} (α_{l}, | B_{m} |) .$ 其中，通过对上述的目标函数进行化简，可以进一步得到如下的能效表达式：Further, in the above formula, the total rate of the macro base station in the orthogonal frequency band and the shared frequency band is: $R_{m}^{l} (α_{l}, | B_{m} |, | B_{the s} |) = R_{m}^{o} (α_{l}, | B_{m} |) + R_{m}^{the s} (α_{l}, | B_{m} |),$ In addition, the total rate of the micro base station in the orthogonal frequency band and the shared frequency band is: $R_{m}^{l} (α_{l}, | B_{m} |, | B_{the s} |) = R_{m}^{o} (α_{l}, | B_{m} |) + R_{m}^{the s} (α_{l}, | B_{m} |) .$ Among them, by simplifying the above objective function, the following energy efficiency expression can be further obtained:

$EE EE = = \frac{{λ λ}_{m m} ((| | {B B}_{m m} | | + + \frac{| | {B B}_{s the s} | |}{{γ γ}_{m m}^{- - 11} + + 11})) \overset{~ ~}{r r} (({α α}_{l l})) + + {λ λ}_{M m} ((| | {B B}_{M m} | | + + \frac{| | {B B}_{s the s} | |}{{γ γ}_{m m} + + 11})) \overset{~ ~}{r r} (({α α}_{l l}))}{{λ λ}_{m m} ((| | {B B}_{m m} | | + + | | {B B}_{s the s} | |)) {P P}_{m m}^{l l} + + {λ λ}_{M m} ((| | {B B}_{M m} | | + + | | {B B}_{s the s} | |)) {P P}_{M m}^{l l} + + {λ λ}_{m m} {P P}_{m m}^{c c} + + {λ λ}_{M m} {P P}_{M m}^{c c}} . .$

从上述公式中可以发现，每减少一单位的Bs，则增加一单位的BM，且能效分母增加由于基站单位带宽的发生功率远小于基站固定功率消耗，因此能效的分母基本不变，因此可以得出宏基站的最优正交带宽为：之后，将上述公式对Bs求导，可以得到微基站以及宏基站的最优复用带宽为： $| B_{s}^{opt} | = | B_{l} | \frac{1 + γ_{m}}{1 + {(v_{m} P_{M}^{c - 1} (| B_{l} | P_{m}^{l} + P_{m}^{c}))}^{1 / 2}};$ 进一步的，还可以得到微基站的最优正交带宽为： From the above formula, it can be found that for every unit of Bs decreased, BM will be increased by one unit, and the denominator of energy efficiency will increase Since the generation power of the unit bandwidth of the base station is much smaller than the fixed power consumption of the base station, the denominator of the energy efficiency is basically unchanged, so it can be concluded that the optimal orthogonal bandwidth of the macro base station is: Afterwards, deriving the above formula with respect to Bs, the optimal multiplexing bandwidth of the micro base station and the macro base station can be obtained as: $| B_{the s}^{opt} | = | B_{l} | \frac{1 + γ_{m}}{1 + {(v_{m} P_{m}^{c - 1} (| B_{l} | P_{m}^{l} + P_{m}^{c}))}^{1 / 2}};$ Furthermore, the optimal orthogonal bandwidth of the micro base station can also be obtained as:

（3）高低频段混合的带宽配置策略。在业务需求非常高的情况下，低频带的带宽即使全部复用也不足以满足业务的需求，此时，微基站还需要使用一部分的高频带的频谱资源进行传输，以再次扩大系统的容量，从而支持更多的业务需求。针对该应用场景，由此可以给出如下优化问题：(3) Mixed bandwidth allocation strategy for high and low frequency bands. When the business demand is very high, even if the bandwidth of the low frequency band is fully reused, it is not enough to meet the business demand. At this time, the micro base station also needs to use a part of the spectrum resources of the high frequency band for transmission to expand the capacity of the system again. , so as to support more business needs. For this application scenario, the following optimization problem can be given:

$\begin{matrix} \underset{| | {B B}_{m m}^{l l} | |,, | | {B B}_{M m}^{l l} | |,, | | {B B}_{h h} | |,, | | {B B}_{s the s} | |}{max max} EE EE = = \frac{{R R}_{m m} (({α α}_{l l},, {α α}_{h h},, | | {B B}_{m m} | |,, | | {B B}_{s the s} | |)) + + {R R}_{M m}^{l l} (({α α}_{l l},, | | {B B}_{M m} | |,, | | {B B}_{s the s} | |))}{{λ λ}_{m m} ((| | {B B}_{m m} | | + + | | {B B}_{s the s} | | + + | | {B B}_{l l} | |)) {P P}_{m m}^{l l} + + {λ λ}_{m m} ((| | {B B}_{M m} | | + + | | {B B}_{s the s} | |)) {P P}_{M m}^{l l} + + {λ λ}_{m m} {P P}_{m m}^{c c} + + {λ λ}_{M m} {P P}_{M m}^{c c}} \\ s the s . . t t . . {γ γ}_{m m} = = \frac{{λ λ}_{m m} {P P}_{m m}^{22 / / α α}}{{λ λ}_{M m} {P P}_{M m}^{22 / / α α}},, {v v}_{m m} = = \frac{{R R}_{m m} (({α α}_{l l},, {α α}_{h h},, | | {B B}_{h h} | |,, | | {B B}_{m m} | |,, | | {B B}_{s the s} | |))}{{R R}_{M m}^{l l} (({α α}_{l l},, | | {B B}_{M m} | |,, | | {B B}_{s the s} | |))} \end{matrix};;$

进一步的，在上述公式中，微基站在正交频段以及共享频段的总速率为： $R_{m} (α_{l}, α_{h}, | B_{m} |, | B_{s} |) = R_{m}^{l} (α_{l}, | B_{m} |, | B_{s} |) + R_{m}^{h} (α_{h}, | B_{h} |),$ 与部分频率复用的带宽配置策略的带宽配置的证明过程相同的是，可以得出宏基站的最优正交带宽为：通过对上述的目标函数进行化简，可以得到如下的能效表达式：Further, in the above formula, the total rate of the micro base station in the orthogonal frequency band and the shared frequency band is: $R_{m} (α_{l}, α_{h}, | B_{m} |, | B_{the s} |) = R_{m}^{l} (α_{l}, | B_{m} |, | B_{the s} |) + R_{m}^{h} (α_{h}, | B_{h} |),$ The same as the proof process of the bandwidth allocation strategy of the partial frequency reuse bandwidth allocation strategy, it can be concluded that the optimal orthogonal bandwidth of the macro base station is: By simplifying the above objective function, the following energy efficiency expression can be obtained:

$EE EE = = \frac{\frac{{v v}_{m m} + + 11}{{γ γ}_{m m} + + 11} \overset{~ ~}{r r} (({α α}_{l l}))}{\frac{{v v}_{m m} \overset{~ ~}{r r} (({α α}_{l l})) ((| | {B B}_{h h} | | {P P}_{m m}^{h h} + + | | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))}{[[(({γ γ}_{m m} + + 11)) | | {B B}_{h h} | | \overset{~ ~}{r r} (({α α}_{h h})) + + (({γ γ}_{m m} + + 11)) | | {B B}_{l l} | | \overset{~ ~}{r r} (({α α}_{l l})) - - | | {B B}_{s the s} | | \overset{~ ~}{r r} (({α α}_{l l}))]]} + + {P P}_{M m}^{l l} + + {P P}_{M m}^{c c} / / | | {B B}_{s the s} | |};;$

之后，通过将上述公式对Bs求导，可以得到微基站以及宏基站的最优复用带宽为： $| B_{s}^{opt} | = \frac{(γ_{m} + 1) | B_{h} | \tilde{r} (α_{h}) + (γ_{m} + 1) | B_{l} | \tilde{r} (α_{l})}{{\tilde{r} (α_{l}) + v_{m}^{1 / 2} \tilde{r} (α_{l}) P_{M}^{c}}^{- \frac{1}{2}} {(| B_{h} | P_{m}^{h} + | B_{l} | P_{m}^{l} + P_{m}^{c})}^{1 / 2}} .$ Afterwards, by deriving the above formula to Bs, the optimal multiplexing bandwidth of the micro base station and the macro base station can be obtained as: $| B_{the s}^{opt} | = \frac{(γ_{m} + 1) | B_{h} | \tilde{r} (α_{h}) + (γ_{m} + 1) | B_{l} | \tilde{r} (α_{l})}{{\tilde{r} (α_{l}) + v_{m}^{1 / 2} \tilde{r} (α_{l}) P_{m}^{c}}^{- \frac{1}{2}} {(| B_{h} | P_{m}^{h} + | B_{l} | P_{m}^{l} + P_{m}^{c})}^{1 / 2}} .$

从上述公式中可以分析得到，微基站的最优复用带宽是高频段带宽的函数，因此是否使用高频段，高频段带宽的大小等信息都会影响到最优复用带宽的大小。因此，通过将上述公式的分母对|B_h|进行求导可以得到：It can be analyzed from the above formula that the optimal multiplexing bandwidth of the micro base station is a function of the bandwidth of the high frequency band, so information such as whether to use the high frequency band and the bandwidth of the high frequency band will affect the size of the optimal multiplexing bandwidth. Therefore, by deriving the denominator of the above formula with respect to |B _h |, we get:

$θ θ = = (({γ γ}_{m m} + + 11)) | | {B B}_{l l} | | {v v}_{m m} (({\overset{~ ~}{r r}}^{22} (({α α}_{l l})) {P P}_{m m}^{h h} - - \overset{~ ~}{r r} (({α α}_{l l})) \overset{~ ~}{r r} (({α α}_{h h})) {P P}_{m m}^{l l})) - - | | {B B}_{s the s} | | ((| | {B B}_{h h} | |)) {P P}_{m m}^{h h} {v v}_{m m} {\overset{~ ~}{r r}}^{22} (({α α}_{l l})) - - {P P}_{m m}^{c c} (({γ γ}_{m m} + + 11)) {v v}_{m m} \overset{~ ~}{r r} (({α α}_{l l})) \overset{~ ~}{r r} (({α α}_{h h})) . .$

其中，由于θ是|B_s|,|B_h|的减函数，所以当θ小于0时，网络能效随着|B_h|递增，当θ大于0时，网络能效随着|B_h|递减，同时|B_h|的增加会导致θ不断减少，直到θ小于0时，网络能效随着|B_h|递增，所以网络能效最大值在高频段带宽为0或者|B_h|处取得。因此，可以得到是否使用高频段的判断准则为：Among them, since θ is a decreasing function of |B _s |, |B _h |, when θ is less than 0, the network energy efficiency increases with |B _h |, when θ is greater than 0, the network energy efficiency decreases with |B _h | , at the same time, the increase of |B _h | will cause θ to decrease continuously, until θ is less than 0, the network energy efficiency increases with |B _h |, so the maximum network energy efficiency is obtained at the high-band bandwidth of 0 or |B _h |. Therefore, it can be obtained that the criterion for judging whether to use the high frequency band is:

$| | {B B}_{h h}^{opt opt} | | = = \{\begin{matrix} | | {B B}_{h h} | | & θ θ < < 00 \\ \underset{| | {B B}_{h h} | |}{arg arg max max \{\begin{matrix} EE EE [[| | {B B}_{h h} | |,, | | {B B}_{s the s}^{opt opt} | | ((| | {B B}_{h h} | |))]] \\ EE EE [[| | {B B}_{h h} | | = = 00,, | | {B B}_{s the s}^{opt opt} | | ((| | {B B}_{h h} | | = = 00))]] \end{matrix}\}} & θ θ > > 00 \end{matrix};;$

基于上述分析，如果判断结果为使用高频段，则将高频段的带宽值|B_h|代入上述计算微基站以及宏基站的最优复用带宽的公式计算得到并进一步利用最优复用带宽得到微基站的最优正交带宽为： Based on the above analysis, if the judgment result is that the high frequency band is used, then substitute the bandwidth value |B _h | And further use the optimal multiplexing bandwidth The optimal orthogonal bandwidth of the micro base station is obtained as:

本发明实施例中，网络侧设备确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m，并确定热点区域面积和非热点区域面积的比例γ_m之后，网络侧设备还可以利用ν_m和γ_m确定异构网络中的用户聚集系数h，该用户聚集系数h定量反映用户群体行为规律，且用户群体行为规律通过用户行为曲线表征；其中，用户行为曲线的横轴对应在观察区间内的累计时间或累计面积或累计内容，纵轴代表累计的业务速率，用户行为曲线的下凹程度代表了用户行为聚集程度，如果用户行为曲线越平，则说明用户行为差异性越小，如果用户行为曲线越下凹，则说明用户行为差异性越大。In the embodiment of the present invention, after the network-side device determines the ratio ν _m of the service rate per unit area in the hotspot area and the service rate per unit area in the non-hotspot area, and determines the ratio γ _m between the area of the hotspot area and the area of the non-hotspot area, the network-side device can also Using ν _m and γ _m to determine the user aggregation coefficient h in the heterogeneous network, the user aggregation coefficient h quantitatively reflects the user group behavior law, and the user group behavior law is represented by the user behavior curve; where the horizontal axis of the user behavior curve corresponds to The cumulative time or cumulative area or cumulative content in the observation interval. The vertical axis represents the cumulative business rate. The concave degree of the user behavior curve represents the degree of user behavior aggregation. If the user behavior curve is flatter, it means that the difference in user behavior is smaller , if the user behavior curve is more concave, it means that the user behavior differences are greater.

进一步的，网络侧设备利用ν_m和γ_m确定异构网络中的用户聚集系数h，具体包括：网络侧设备利用如下公式确定异构网络中的用户聚集系数h：Further, the network side device uses ν _m and γ _m to determine the user aggregation coefficient h in the heterogeneous network, specifically including: the network side device uses the following formula to determine the user aggregation coefficient h in the heterogeneous network:

以下结合具体的应用场景对用户群体行为规律的内容进行详细说明。The content of user group behavior rules will be described in detail below in conjunction with specific application scenarios.

本发明实施例中，根据网络中用户群体行为特点，建立用户群体行为模型，对网络中用户群体行为做定量描述，刻画用户群体行为特征。具体的，由于用户群体行为是指用户在网络中以群体为单位，在活动规律、业务需求、接入频率、聚集特性等多维度下的行为模式和特征规律，因此可以通过下列步骤建立用户行为曲线：（1）将业务区域空间划分成不同的区间u_i，下标i＝1...n表示不同区间序号；（2）计算出每一个区间的业务速率t(u_i)；（3）对这些区间，按照业务速率大小进行排序；（4）定义用户行为分布曲线（累计面积x的区域内的业务速率占总业务速率的比例）为： In the embodiment of the present invention, according to the behavior characteristics of the user groups in the network, a user group behavior model is established to quantitatively describe the behavior of the user groups in the network and characterize the behavior characteristics of the user groups. Specifically, since user group behavior refers to the behavior patterns and characteristic rules of users in groups in the network under multi-dimensional activity rules, business requirements, access frequency, aggregation characteristics, etc., user behavior can be established through the following steps Curve: (1) Divide the service area space into different intervals u _i , subscript i=1...n indicates the serial numbers of different intervals; (2) Calculate the service rate t(u _i ) of each interval; (3 ) sort these intervals according to the business rate; (4) define the user behavior distribution curve (the ratio of the business rate in the area of the cumulative area x to the total business rate) as:

从用户行为分布曲线可以看出，横轴对应在观察区间内的累计时间/面积/内容，纵轴代表累计的业务速率，因此用户行为分布曲线上每一点的物理含义是，对应观察区间内的累计时间/面积/内容上的业务速率占总业务速率的百分比。如果用户行为毫无差异，则业务速率在累计时间或累计面积或累计内容维度上的统计是均匀的，且在累计时间或累计面积或累计内容对应的x%的区域内应该有x%，即用户行为分布曲线是一条45度线。与此相反的，考虑到一个极端情况，用户行为差异巨大，仅有一个用户申请了业务，而其它所有用户都没有申请业务，此时用户行为分布曲线一直是0，直到统计面积为100%，则用户行为分布曲线是即一条水平线和一条垂直线。From the user behavior distribution curve, it can be seen that the horizontal axis corresponds to the cumulative time/area/content within the observation interval, and the vertical axis represents the cumulative business rate. Therefore, the physical meaning of each point on the user behavior distribution curve is that the corresponding observation interval The percentage of traffic rate on cumulative time/area/content to the total traffic rate. If there is no difference in user behavior, the statistics of the business rate in the cumulative time or cumulative area or cumulative content dimension are uniform, and there should be x% in the x% area corresponding to the cumulative time or cumulative area or cumulative content, that is The user behavior distribution curve is a 45-degree line. On the contrary, considering an extreme situation where user behaviors vary greatly, only one user has applied for a service, while all other users have not applied for a service. At this time, the user behavior distribution curve is always 0 until the statistical area is 100%. Then the user behavior distribution curve is That is, one horizontal line and one vertical line.

进一步的，这条用户行为分布曲线的下凹的程度（曲率）代表了用户行为聚集的程度，如果用户行为分布曲线越平（曲率越小），就越接近无差异的用户行为分布曲线（45度线），相应的用户行为差异性越小。如果这条用户行为分布曲线越下凹（曲率越大），就越接近差异最大的用户行为分布曲线（一条水平线和一条垂直线），相应的用户行为差异性越大。Furthermore, the concave degree (curvature) of this user behavior distribution curve represents the degree of user behavior aggregation. If the user behavior distribution curve is flatter (the curvature is smaller), it is closer to the indifferent user behavior distribution curve (45 degree line), the corresponding user behavior differences are smaller. If the user behavior distribution curve is more concave (larger curvature), it will be closer to the user behavior distribution curve with the largest difference (a horizontal line and a vertical line), and the corresponding user behavior difference will be greater.

为了量化不同用户行为分布曲线的差异，如图3所示的用户行为分布曲线示意图，图3中的三条用户行为分布曲线围成了A，B两个区域，且这三条用户行为分布曲线分别是：业务速率绝对平均的用户行为分布曲线，业务速率绝对集中的用户行为分布曲线，业务速率一般分布的用户行为分布曲线。基于此，本发明实施例中提出了用户聚集系数h，该用户聚集系数定量反映用户群体行为规律，且可以根据区域A面积以及区域B面积计算用户聚集系数，或基于热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m以及热点区域面积和非热点区域面积的比例γ_m计算用户聚集系数，如下所示。In order to quantify the difference of different user behavior distribution curves, the schematic diagram of user behavior distribution curves is shown in Figure 3. The three user behavior distribution curves in Figure 3 enclose two areas A and B, and these three user behavior distribution curves are respectively : User behavior distribution curve with absolute average service rate, user behavior distribution curve with absolutely concentrated service rate, user behavior distribution curve with general service rate distribution. Based on this, the embodiment of the present invention proposes the user aggregation coefficient h, which quantitatively reflects the behavior of the user group, and the user aggregation coefficient can be calculated according to the area of area A and the area of area B, or based on the business rate per unit area of the hotspot area and The ratio ν _m of the service rate per unit area in the non-hotspot area and the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area are used to calculate the user aggregation coefficient, as shown below.

$h h = = \frac{A A}{A A + + B B} = = \{\begin{matrix} \frac{{γ γ}_{m m} {v v}_{m m}}{{γ γ}_{m m} {v v}_{m m} + + 11} - - \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} & {v v}_{m m} > > 11 \\ \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} - - \frac{{γ γ}_{m m} {v v}_{m m}}{{γ γ}_{m m} {v v}_{m m} + + 11} & {v v}_{m m} < < 11 \end{matrix} . .$

综上所述，本发明实施例中，基于热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m以及确定热点区域面积和非热点区域面积的比例γ_m，确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽，从而提高异构网络中功率和频谱的资源利用率，同时满足热点区域用户和非热点区域用户的业务传输需求，使得能量效率达到最佳。进一步的，上述方式可以有效保证热点区域用户和非热点区域用户的服务质量，显著提高系统传输能量效率和系统吞吐量。进一步的，上述方式适用于多种无线通信网络，能够适用于所有异构无线网络，且无需考虑具体网络制式的限制，具有很好的推广应用前景。进一步的，上述方式能够最大限度的节约网络能耗，提高整体网络能量效率。To sum up, in the embodiment of the present invention, based on the ratio ν _m of the service rate per unit area in the hotspot area and the service rate per unit area in the non-hotspot area, and the ratio γ _m between the area of the hotspot area and the area of the non-hotspot area, determine the The optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station, so as to improve the resource utilization of power and spectrum in the heterogeneous network, and at the same time meet the needs of users in hotspot areas And the service transmission requirements of users in non-hotspot areas, so that the energy efficiency can be optimized. Furthermore, the above method can effectively guarantee the service quality of users in hotspot areas and users in non-hotspot areas, and significantly improve system transmission energy efficiency and system throughput. Furthermore, the above method is applicable to various wireless communication networks, can be applied to all heterogeneous wireless networks, and does not need to consider the limitation of specific network standards, and has a good prospect of popularization and application. Further, the above method can save energy consumption of the network to the greatest extent and improve the overall network energy efficiency.

以下结合使用MATLAB仿真软件搭建模拟实际的无线通信系统进行仿真实施试验后的结果曲线图对上述过程进行进一步的说明，如图4所示的单频段带宽配置策略的能效对比图和图5所示的多频段带宽配置策略的能效对比图。其中，图4是正交频谱的带宽配置策略与部分频率复用的带宽配置策略的对比，图中曲线画出了系统能量效率随着热点区域面积和非热点区域面积的比例的变化，不同曲线代表了不同的热点区域单位面积业务速率和非热点区域单位面积业务速率的比例。可见在所有情况下，正交频谱的带宽配置策略的能量效率都会比部分频率复用的能量效率要低。这是由于部分频率复用的带宽配置策略能够更大程度的提高异构无线网络的频谱效率，而且所增加的功率消耗并不大，因此网络整体的能量效率得到较的提高。可见，在热点面积占非热点面积40%的情况下，热点业务量是非热点业务量的1倍、3倍和5倍的情况下，系统能量效率提高了29%，19%，16%。The above process is further explained in the following in combination with the result curves of the actual wireless communication system built and simulated by the MATLAB simulation software for the simulation implementation test, as shown in Figure 4 and Figure 5. The energy efficiency comparison diagram of the multi-band bandwidth allocation strategy. Among them, Figure 4 is a comparison between the bandwidth allocation strategy of orthogonal spectrum and the bandwidth allocation strategy of partial frequency multiplexing. Represents the ratio of the service rate per unit area in different hotspot areas to the service rate per unit area in non-hotspot areas. It can be seen that in all cases, the energy efficiency of the bandwidth allocation strategy of the orthogonal spectrum is lower than that of the partial frequency reuse. This is because the partial frequency reuse bandwidth allocation strategy can improve the spectral efficiency of the heterogeneous wireless network to a greater extent, and the increased power consumption is not large, so the overall energy efficiency of the network is relatively improved. It can be seen that when the hot spot area accounts for 40% of the non-hot spot area, and the hot spot business volume is 1, 3 and 5 times that of the non-hot spot traffic volume, the system energy efficiency increases by 29%, 19%, and 16%.

图5曲线是部分频率复用的带宽配置策略与高低频段混合的带宽配置策略的对比，曲线画出了系统的能量效率随着热点区域面积和非热点区域面积的比例的变化，不同曲线代表了不同的热点区域单位面积业务速率和非热点区域单位面积业务速率的比例。可见在热点区域面积和非热点区域面积的比例较小的情况下，高低频率复用的能效效率要优于部分频率复用的能量效率。这是由于微基站使用高频带来增加系统容量的同时，高频信号传输的路径损耗也会增大，因此随着热点的面积扩大或者热点的业务量增高，使用高频带的功耗会增加得比使用低频带的功耗大，因此系统容量增加到一定程度之后，系统的功率消耗会大大增加，导致整个网络的能量效率变差，则当热点的面积扩大或者热点的业务速率增加到一定的程度之后，系统的能量效率就会降低到只使用低频带传输的能量效率，即是由于使用高频段而带来的系统容量增量和使用高频段的功率消耗代价互相抵消，能量效率不再提升。The curve in Figure 5 is a comparison between the bandwidth allocation strategy of partial frequency reuse and the bandwidth allocation strategy of high and low frequency bands mixed. The ratio of the service rate per unit area in different hotspot areas to the service rate per unit area in non-hotspot areas. It can be seen that when the ratio of the area of the hotspot area to the area of the non-hotspot area is small, the energy efficiency of high and low frequency multiplexing is better than that of partial frequency multiplexing. This is because micro base stations use high-frequency bands to increase system capacity, and the path loss of high-frequency signal transmission will also increase. Therefore, as the area of hot spots expands or the traffic volume of hot spots increases, the power consumption of using high-frequency bands will decrease. The increase is greater than the power consumption of the low-frequency band, so after the system capacity increases to a certain extent, the power consumption of the system will increase greatly, resulting in the deterioration of the energy efficiency of the entire network. After a certain level, the energy efficiency of the system will be reduced to the energy efficiency of only using low-frequency band transmission, that is, the system capacity increase due to the use of high-frequency bands and the power consumption cost of using high-frequency bands cancel each other out, and the energy efficiency is not high. Improve again.

实施例二Embodiment two

基于与上述方法同样的发明构思，本发明实施例中还提供了一种网络侧设备，如图6所示，该网络侧设备具体包括：Based on the same inventive concept as the above method, the embodiment of the present invention also provides a network side device, as shown in Figure 6, the network side device specifically includes:

确定模块11，用于确定热点区域单位面积业务速率和非热点区域单位面积业务速率的比例ν_m，并确定热点区域面积和非热点区域面积的比例γ_m；A determining module 11, configured to determine the ratio ν _m of the traffic rate per unit area in the hotspot area and the business rate per unit area in the non-hotspot area, and determine the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area;

处理模块12，利用所述ν_m和所述γ_m确定异构网络中的微基站的最优正交带宽、宏基站的最优正交带宽、微基站以及宏基站的最优复用带宽。The processing module 12 uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, and the optimal multiplexing bandwidth of the micro base station and the macro base station in the heterogeneous network.

所述处理模块12，具体用于在宏基站和微基站之间采用完全正交频谱的带宽资源配置方式的情况下，利用如下公式计算宏基站的最优正交带宽：利用如下公式计算微基站的最优正交带宽：确定微基站以及宏基站的最优复用带宽为0；The processing module 12 is specifically used to calculate the optimal orthogonal bandwidth of the macro base station by using the following formula when the bandwidth resource configuration mode of completely orthogonal spectrum is adopted between the macro base station and the micro base station: Use the following formula to calculate the optimal orthogonal bandwidth of the micro base station: Determine the optimal multiplexing bandwidth of the micro base station and the macro base station as 0;

在宏基站和微基站之间采用部分频谱资源复用的带宽资源配置方式的情况下，利用如下公式计算宏基站的最优正交带宽：利用如下公式计算微基站的最优正交带宽：利用如下公式计算微基站以及宏基站的最优复用带宽：In the case of using the bandwidth resource configuration method of multiplexing part of spectrum resources between the macro base station and the micro base station, the optimal orthogonal bandwidth of the macro base station is calculated using the following formula: Use the following formula to calculate the optimal orthogonal bandwidth of the micro base station: Use the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

在宏基站和微基站之间采用部分高频带的频谱资源复用的带宽资源配置方式的情况下，利用如下公式计算宏基站的最优正交带宽：利用如下公式计算微基站以及宏基站的最优复用带宽：In the case of using the bandwidth resource configuration method of multiplexing the spectrum resources of part of the high frequency band between the macro base station and the micro base station, the optimal orthogonal bandwidth of the macro base station is calculated using the following formula: Use the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

$| B_{s}^{opt} | = \frac{(γ_{m} + 1) | B_{h} | \tilde{r} (α_{h}) + (γ_{m} + 1) | B_{l} | \tilde{r} (α_{l})}{{\tilde{r} (α_{l}) + v_{m}^{1 / 2} \tilde{r} (α_{l}) P_{M}^{c}}^{- \frac{1}{2}} {(| B_{h} | P_{m}^{h} + | B_{l} | P_{m}^{l} + P_{m}^{c})}^{1 /}};$ 利用如下公式计算微基站的最优正交带宽： $| B_{m}^{opt} | = | B_{l} | - | B_{s}^{opt} |;$ $| B_{the s}^{opt} | = \frac{(γ_{m} + 1) | B_{h} | \tilde{r} (α_{h}) + (γ_{m} + 1) | B_{l} | \tilde{r} (α_{l})}{{\tilde{r} (α_{l}) + v_{m}^{1 / 2} \tilde{r} (α_{l}) P_{m}^{c}}^{- \frac{1}{2}} {(| B_{h} | P_{m}^{h} + | B_{l} | P_{m}^{l} + P_{m}^{c})}^{1 /}};$ Use the following formula to calculate the optimal orthogonal bandwidth of the micro base station: $| B_{m}^{opt} | = | B_{l} | - | B_{the s}^{opt} |;$

所述确定模块11，还用于利用所述ν_m和所述γ_m确定异构网络中的用户聚集系数h，所述用户聚集系数h定量反映用户群体行为规律，且用户群体行为规律通过用户行为曲线表征；其中，用户行为曲线的横轴对应在观察区间内的累计时间或累计面积或累计内容，纵轴代表累计的业务速率，用户行为曲线的下凹程度代表了用户行为聚集程度，如果用户行为曲线越平，则说明用户行为差异性越小，如果用户行为曲线越下凹，则说明用户行为差异性越大。The determining module 11 is also used to determine the user aggregation coefficient h in the heterogeneous network by using the ν _m and the γ _m , and the user aggregation coefficient h quantitatively reflects the user group behavior rule, and the user group behavior rule is passed by the user Behavior curve representation; among them, the horizontal axis of the user behavior curve corresponds to the cumulative time or cumulative area or cumulative content in the observation interval, the vertical axis represents the cumulative business rate, and the concave degree of the user behavior curve represents the degree of user behavior aggregation. If The flatter the user behavior curve, the smaller the difference in user behavior, and the more concave the user behavior curve, the greater the difference in user behavior.

所述确定模块11，进一步用于利用如下公式确定异构网络中的用户聚集系数h： $h = \{\begin{matrix} \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} - \frac{γ_{m}}{γ_{m} + 1} & v_{m} > 1 \\ \frac{γ_{m}}{γ_{m} + 1} - \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} & v_{m} < 1 \end{matrix} .$ The determination module 11 is further configured to determine the user aggregation coefficient h in the heterogeneous network by using the following formula: $h = \{\begin{matrix} \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} - \frac{γ_{m}}{γ_{m} + 1} & v_{m} > 1 \\ \frac{γ_{m}}{γ_{m} + 1} - \frac{γ_{m} v_{m}}{γ_{m} v_{m} + 1} & v_{m} < 1 \end{matrix} .$

其中，本发明装置的各个模块可以集成于一体，也可以分离部署。上述模块可以合并为一个模块，也可以进一步拆分成多个子模块。Wherein, each module of the device of the present invention can be integrated into one body, or can be deployed separately. The above modules can be combined into one module, or can be further split into multiple sub-modules.

通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到本发明可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备（可以是个人计算机，服务器，或者网络设备等）执行本发明各个实施例所述的方法。Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is a better implementation Way. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to make a A computer device (which may be a personal computer, a server, or a network device, etc.) executes the methods described in various embodiments of the present invention.

本领域技术人员可以理解附图只是一个优选实施例的示意图，附图中的模块或流程并不一定是实施本发明所必须的。Those skilled in the art can understand that the drawing is only a schematic diagram of a preferred embodiment, and the modules or processes in the drawing are not necessarily necessary for implementing the present invention.

本领域技术人员可以理解实施例中的装置中的模块可以按照实施例描述进行分布于实施例的装置中，也可以进行相应变化位于不同于本实施例的一个或多个装置中。上述实施例的模块可以合并为一个模块，也可以进一步拆分成多个子模块。Those skilled in the art can understand that the modules in the device in the embodiment can be distributed in the device in the embodiment according to the description in the embodiment, or can be located in one or more devices different from the embodiment according to corresponding changes. The modules in the above embodiments can be combined into one module, and can also be further split into multiple sub-modules.

上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

以上公开的仅为本发明的几个具体实施例，但是，本发明并非局限于此，任何本领域的技术人员能思之的变化都应落入本发明的保护范围。The above disclosures are only a few specific embodiments of the present invention, however, the present invention is not limited thereto, and any changes conceivable by those skilled in the art shall fall within the protection scope of the present invention.

Claims

1. An energy-efficient hybrid bandwidth allocation transmission method in a heterogeneous wireless network, characterized in that it comprises:

The network side equipment determines the ratio ν _m of the service rate per unit area in the hotspot area and the business rate per unit area in the non-hotspot area, and determines the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area;

The network side device uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station in the heterogeneous network .

Wherein, in the case that the fully orthogonal frequency spectrum bandwidth resource allocation method is adopted between the macro base station and the micro base station, the network side device uses the ν _m and the γ _m to determine the optimal frequency of the micro base station in the heterogeneous network The process of orthogonal bandwidth, optimal orthogonal bandwidth of macro base station, optimal multiplexing bandwidth of micro base station and macro base station, specifically includes:

The network side device calculates the optimal orthogonal bandwidth of the macro base station using the following formula:

| | {B B}_{M m}^{o o p p t t} | | = = | | B B | | {(({((\frac{{ν ν}_{m m} {P P}_{m m}^{c c}}{{P P}_{M m}^{c c}}))}^{11 / / 22} + + 11))}^{- - 11};;

The network side device uses the following formula to calculate the optimal orthogonal bandwidth of the micro base station:

| | {B B}_{M m}^{o o p p t t} | | = = | | B B | | {(({((\frac{{P P}_{M m}^{c c}}{{ν ν}_{m m} {P P}_{m m}^{c c}}))}^{11 / / 22} + + 11))}^{- - 11};;

The network side device determines that the optimal multiplexing bandwidth of the micro base station and the macro base station is 0;

in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, B is the total bandwidth, is the fixed power of the micro base station, Fixed power for macro base stations.

In the case that the bandwidth resource allocation method of partial spectrum resource multiplexing is adopted between the macro base station and the micro base station, the network side device uses the ν _m and the γ _m to determine the optimal regularity of the micro base station in the heterogeneous network. The process of orthogonal bandwidth, optimal orthogonal bandwidth of macro base station, optimal multiplexing bandwidth of micro base station and macro base station, specifically includes:

| | {B B}_{M m}^{o o p p t t} | | = = 00;;

| | {B B}_{m m}^{o o p p t t} | | = = | | {B B}_{l l} | | \frac{{(({ν ν}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22} - - {γ γ}_{m m}}{11 + + {(({ν ν}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22}};;

The network side device uses the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

| | {B B}_{s the s}^{o o p p t t} | | = = | | {B B}_{l l} | | \frac{11 + + {γ γ}_{m m}}{11 + + {(({ν ν}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22}};;

in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B ₁ is the total bandwidth of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmit power in the low frequency band.

In the case where the bandwidth resource configuration method of multiplexing spectral resources in part of the high frequency band is used between the macro base station and the micro base station, the network side device uses the ν _m and the γ _m to determine the micro base station in the heterogeneous network The optimal orthogonal bandwidth of the macro base station, the optimal orthogonal bandwidth of the macro base station, the optimal multiplexing bandwidth of the micro base station and the macro base station, specifically include:

| | {B B}_{M m}^{o o p p t t} | | = = 00;;

| | {B B}_{s the s}^{o o p p t t} | | = = \frac{(({γ γ}_{m m} + + 11)) | | {B B}_{h h} | | \overset{~ ~}{r r} (({α α}_{h h})) + + (({γ γ}_{m m} + + 11)) | | {B B}_{l l} | | \overset{~ ~}{r r} (({α α}_{l l}))}{\overset{~ ~}{r r} (({α α}_{l l})) + + {ν ν}_{m m}^{11 / / 22} \overset{~ ~}{r r} (({α α}_{l l})) {P P}_{M m}^{{c c}^{- - \frac{11}{22}}} {((| | {B B}_{h h} | | {P P}_{m m}^{h h} + + | | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))}^{11 / / 22}};;

| | {B B}_{m m}^{o o p p t t} | | = = | | {B B}_{l l} | | - - | | {B B}_{s the s}^{o o p p t t} | |;;

in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B _l is the total bandwidth of the low frequency band, B _h is the bandwidth value of the high frequency band, is the rate within the coverage of the base station, α _h is the path loss factor of the high frequency band, and α _l is the path loss factor of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmission power in the low frequency band, is the transmit power in the high frequency band.

2. The method according to claim 1, wherein the network side device determines the ratio ν _m of the traffic rate per unit area in the hotspot area and the traffic rate per unit area in the non-hotspot area, and determines the area of the hotspot area and the area of the non-hotspot area After the ratio γ _m , the method also includes:

The network side device uses the ν _m and the γ _m to determine the user aggregation coefficient h in the heterogeneous network, the user aggregation coefficient h quantitatively reflects the user group behavior rule, and the user group behavior rule is represented by the user behavior curve; Among them, the horizontal axis of the user behavior curve corresponds to the cumulative time or cumulative area or cumulative content in the observation interval, the vertical axis represents the cumulative business rate, and the concave degree of the user behavior curve represents the degree of user behavior aggregation. If the user behavior curve is flat, it means that the difference in user behavior is smaller, and if the user behavior curve is more concave, it means that the difference in user behavior is greater.

3. The method according to claim 2, wherein the network-side device utilizes the ν _m and the γ _m to determine the user aggregation coefficient h in the heterogeneous network, specifically comprising:

The network side device uses the following formula to determine the user aggregation coefficient h in the heterogeneous network:

h h = = \{\begin{matrix} \frac{{γ γ}_{m m} {ν ν}_{m m}}{{γ γ}_{m m} {ν ν}_{m m} + + 11} - - \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} & {ν ν}_{m m} > > 11 \\ \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} - - \frac{{γ γ}_{m m} {ν ν}_{m m}}{{γ γ}_{m m} {ν ν}_{m m} + + 11} & {ν ν}_{m m} < < 11 \end{matrix} . .

4. A network side device, characterized in that the network side device includes:

The determination module is used to determine the ratio ν _m of the business rate per unit area in the hotspot area and the business rate per unit area in the non-hotspot area, and determine the ratio γ _m of the area of the hotspot area to the area of the non-hotspot area;

The processing module uses the ν _m and the γ _m to determine the optimal orthogonal bandwidth of the micro base station, the optimal orthogonal bandwidth of the macro base station, and the optimal multiplexing bandwidth of the micro base station and the macro base station in the heterogeneous network.

Wherein, the processing module is specifically used to calculate the optimal orthogonal bandwidth of the macro base station by using the following formula when the bandwidth resource configuration mode of completely orthogonal spectrum is adopted between the macro base station and the micro base station:

| | {B B}_{M m}^{o o p p t t} | | = = | | B B | | {(({((\frac{{ν ν}_{m m} {P P}_{m m}^{c c}}{{P P}_{M m}^{c c}}))}^{11 / / 22} + + 11))}^{- - 11};;

Use the following formula to calculate the optimal orthogonal bandwidth of the micro base station:

| | {B B}_{m m}^{o o p p t t} | | = = | | B B | | {(({((\frac{{P P}_{M m}^{c c}}{{ν ν}_{m m} {P P}_{m m}^{c c}}))}^{11 / / 22} + + 11))}^{- - 11};;

Determine the optimal multiplexing bandwidth of the micro base station and the macro base station as 0;

In the case of using the bandwidth resource configuration method of multiplexing part of spectrum resources between the macro base station and the micro base station, the optimal orthogonal bandwidth of the macro base station is calculated using the following formula:

| | {B B}_{M m}^{o o p p t t} | | = = 00;;

| | {B B}_{m m}^{o o p p t t} | | = = | | {B B}_{l l} | | \frac{{(({ν ν}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22} - - {γ γ}_{m m}}{11 + + {(({ν ν}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22}};;

Use the following formula to calculate the optimal multiplexing bandwidth of the micro base station and the macro base station:

| | {B B}_{s the s}^{o o p p t t} | | = = | | {B B}_{l l} | | \frac{11 + + {γ γ}_{m m}}{11 + + {(({ν ν}_{m m} {P P}_{M m}^{c c - - 11} ((| | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))))}^{11 / / 22}};;

In the case of using the bandwidth resource configuration method of multiplexing spectrum resources in part of the high frequency band between the macro base station and the micro base station, the optimal orthogonal bandwidth of the macro base station is calculated using the following formula:

| | {B B}_{M m}^{o o p p t t} | | = = 00;;

| | {B B}_{s the s}^{o o p p t t} | | = = \frac{(({γ γ}_{m m} + + 11)) | | {B B}_{h h} | | \overset{~ ~}{r r} (({α α}_{h h})) + + (({γ γ}_{m m} + + 11)) | | {B B}_{l l} | | \overset{~ ~}{r r} (({α α}_{11}))}{\overset{~ ~}{r r} (({α α}_{l l})) + + {ν ν}_{m m}^{11 / / 22} \overset{~ ~}{r r} (({α α}_{l l})) {P P}_{M m}^{{c c}^{- - \frac{11}{22}}} {((| | {B B}_{h h} | | {P P}_{m m}^{h h} + + | | {B B}_{l l} | | {P P}_{m m}^{l l} + + {P P}_{m m}^{c c}))}^{11 / / 22}};;

| | {B B}_{m m}^{o o p p t t} | | = = | | {B B}_{l l} | | - - | | {B B}_{s the s}^{o o p p t t} | |;;

in, is the optimal orthogonal bandwidth of the macro base station, is the optimal orthogonal bandwidth of the micro base station, is the optimal multiplexing bandwidth of the micro base station and the macro base station, B is the total bandwidth, and _B1 is the total bandwidth of the low frequency band, is the fixed power of the micro base station, For the fixed power of the macro base station, is the transmission power of the low frequency band, B _h is the bandwidth value of the high frequency band, is the rate within the coverage of the base station, α _h is the path loss factor of the high frequency band, and α _l is the path loss factor of the low frequency band, is the transmit power in the high frequency band.

5. The network side device according to claim 4, characterized in that,

The determination module is also used to determine the user aggregation coefficient h in the heterogeneous network by using the ν _m and the γ _m , and the user aggregation coefficient h quantitatively reflects the user group behavior rule, and the user group behavior rule is passed through the user behavior Curve representation; among them, the horizontal axis of the user behavior curve corresponds to the cumulative time or cumulative area or cumulative content in the observation interval, the vertical axis represents the cumulative business rate, and the concave degree of the user behavior curve represents the degree of user behavior aggregation. If the user The flatter the behavior curve, the smaller the difference in user behavior, and the more concave the user behavior curve, the greater the difference in user behavior.

6. The network side device according to claim 5, characterized in that,

The determination module is further used to determine the user aggregation coefficient h in the heterogeneous network by using the following formula:

h h = = \{\begin{matrix} \frac{{γ γ}_{m m} {ν ν}_{m m}}{{γ γ}_{m m} {ν ν}_{m m} + + 11} - - \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} & {ν ν}_{m m} > > 11 \\ \frac{{γ γ}_{m m}}{{γ γ}_{m m} + + 11} - - \frac{{γ γ}_{m m} {ν ν}_{m m}}{{γ γ}_{m m} {ν ν}_{m m} + + 11} & {ν ν}_{m m} < < 11 \end{matrix} . .