基于基站密度和业务负载的异构蜂窝网络能效优化

李云; 王俊伟; 赵为粮; 刘期烈

doi:10.11999/JEIT160192

基于基站密度和业务负载的异构蜂窝网络能效优化

doi: 10.11999/JEIT160192

基金项目:

国家自然科学基金(61671096)，国家重点基础研究发展计划(2012CB316004)，东南大学移动通信国家重点实验室开放研究基金(2015D07)

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出版历程
- 收稿日期: 2016-03-01
- 修回日期: 2017-01-20
- 刊出日期: 2017-04-19

Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load

Funds:

The National Natural Science Foundation of China (61671096), The National Basic Research Program of China (2012CB316004), The Open Research Fundation of National Mobile Communications Research Laboratory, Southeast University (2015D07)

摘要

摘要: 该文在两层异构网络架构下，采用泊松分布(PPP)建立基站分布模型，构建基于基站密度和业务负载的网络能效模型。分析基站密度对网络能效的影响，并根据网络业务流量的到达率对宏基站和小基站的密度进行联合优化，得到宏基站和小基站的最优联合密度，在保证网络服务质量的同时，使能效达到最优。仿真结果表明，在不同的网络业务需求下，通过基站密度的优化，在保证网络服务质量的同时，合理部署宏基站和小基站的数量，可使能效大幅度提高。
- 异构网络 /
- 网络能效 /
- 基站密度 /
- 最优联合密度
Abstract: Poisson Point Process (PPP) is used to establish the distribution model of base stations in two-tier heterogeneous networks, and formulate the energy efficiency maximization problem based on the base station density and the traffic load. The influence of the base station density on the energy efficiency is analyzed to optimize the densities of the macro base stations and small base stations according to the traffic load. The optimal densities of the macro base stations and small base stations are deduced, which can optimize the energy efficiency under the constraint of the quality of service. Simulation results indicate that, under the constraint of the quality of service, reasonable deployment of macro and small stations can greatly improve the energy efficiency.
- Heterogeneous network /
- Energy efficiency of network /
- Base station density /
- Optimal joint density

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参考文献(21)

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