基于微基站发射功率的异构蜂窝网络能效优化  

Energy efficiency optimization of heterogeneous cellular networks based on transmitting power of pico base station

作　　者：陈永红[1,2] 郭莉莉[1] 张士兵[3] 杨洁[4] CHEN Yonghong;GUO Lili;ZHANG Shibing;YANG Jie(Xinglin College,Nantong University,Nantong Jiangsu 226000,China;College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210003,China;School of Information Science and Technology,Nantong University,Nantong Jiangsu 226019,China;School of Information and Communication Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China)

机构地区：[1]南通大学杏林学院,江苏南通226000 [2]南京邮电大学通信与信息工程学院,南京210003 [3]南通大学信息科学技术学院,江苏南通226019 [4]南京工程学院信息与通信工程学院,南京211167

出　　处：《计算机应用》2020年第4期1115-1118,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61871241,61701221);南通市科技计划项目(JC2018127);江苏省研究生创新计划项目(KYLX16_0662);南通大学杏林学院自然科学基金资助项目(2018K101)。

摘　　要：异构蜂窝网络(HetNet)的能量效率近年来引起了广泛的关注,然而,对于宏基站采用非泊松过程系统的能量效率的研究并不多。针对这一问题,研究了两层HetNet的能量效率,其中宏基站的部署采用β-Ginibre点过程(β-GPP)建模。首先,采用一种简单的近似方法分析了两层网络的信干比(SIR)分布;然后,推导出HetNet的覆盖概率、吞吐量和系统的能量效率;最后,提出一种有效的能量效率优化算法,寻找最优的微基站发射功率,使能量效率最大化。仿真结果表明,当β=1,宏基站的分布密度为2×10^-4 m^-2,微基站的分布密度为宏基站分布密度的2倍时,采用所提能量效率优化方案可以使系统能量效率提高约20%。实验结果验证了理论分析的准确性和提出的能效优化算法的有效性。Energy efficiency of Heterogeneous cellular Network(HetNet)has attracted wide attention in recent years.However,researches on the energy efficiency of macro base stations using non-Poisson process are not enough.To solve this problem,the energy efficiency of the two-tier HetNet was investigated,in which the deployment of macro base stations was modeled byβ-Ginibre Point Process(β-GPP).Firstly,a simple approximation method was used to analyze the Signal to Interference Ratio(SIR)distribution in two-tier HetNet,then the coverage probability,the average achievable throughput and the energy efficiency of the system were derived.Finally,an energy efficiency optimization algorithm was proposed to find the optimal transmitting power of pico base station,maximizing the energy efficiency.The simulation results show that whenβ=1,the distribution density of macro base station is 2×10^-4 m^-2,and the distribution density of pico base station is 2 times of that of macro base station,the proposed energy efficiency optimization scheme can improve the system energy efficiency by about 20%.The experimental results verify the accuracy of the theoretical analysis and the effectiveness of the proposed energy efficiency optimization algorithm.

关 键 词：能量效率 异构蜂窝网络 微基站 发射功率 β-Ginibre点过程 覆盖概率 平均可达吞吐量 

分 类 号：TN925[电子电信—通信与信息系统]