Macro/Femtocell异构网络基于能效的资源分配  

Energy efficiency resource allocation on Macro/Femtocell heterogeneous network

作　　者：王鸿 宋仁旺[1] 李丽君[1] Wang Hong;Song Renwang;Li Lijun(School of Electronic&Information Engineering,Taiyuan University of Science&Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学电子信息工程学院,太原030024

出　　处：《计算机应用研究》2018年第11期3373-3376,共4页Application Research of Computers

基　　金：山西省青年科技研究基金资助项目(201601D021065);校博士基金资助项目(20152023);晋城科技攻关项目(201501004-4)

摘　　要：能量效率(energy efficiency,EE)成为衡量网络性能新的指标。最大化网络能效已成为通信技术的研究热点。针对Macro/Femtocell异构网能量效率优化问题进行研究,将蝙蝠算法应用到能效优化问题中,并针对现有算法存在的收敛精度低、易陷入早熟等缺点,提出一种基于指数递减的惯性权重蝙蝠算法。以最大化异构网络能效EE作为优化目标,在满足异构网用户服务质量(quality of service,Qo S)前提下,用改进蝙蝠算法进行频谱资源载波分配,并将算法与标准蝙蝠算法、遗传算法进行性能比较。仿真结果表明,载波及用户的数量影响着网络系统能效,所提算法相比于遗传算法有效提高了系统传输速率,能效提高约11%。实验证明,在异构网络中,采用改进蝙蝠算法对载波分配可使能效得到改善。Energy efficiency(EE)has become a new indicator of network performance,and maximizing EE has become a hotspot in communication technology.In order to solve the problem of EE optimization in Macro/Femtocell heterogeneous network(HetNet),this paper applied the bat algorithm to the problem firstly.Then,it proposed an inertial weight bat algorithm based on exponential decreasing.Aiming at the maximize the network EE as the optimization target,it used the improved algorithm to carry out the carrier allocation under the premise of satisfying the quality of service(QoS),and compared the performance with the standard bat and genetic algorithm.The simulation results show that the number of carriers and users affects the EE.The proposed algorithm improves the transmission rate of the network and improves the EE by about 11%compared with the genetic algorithm.Experiments show that in the HetNet,the use of improved bat algorithm for carrier allocation can improve EE.

关 键 词：能量效率 异构网络 资源分配 蝙蝠算法 

分 类 号：TN929.5[电子电信—通信与信息系统]