超密集网络中基于能效最优的资源分配算法.pdfVIP

专题：物联网技术与应用 超密集网络中基于能效最优的资源分配算法 1 1 1 1 2 1 章跃跃 ，夏玮玮 ，朱亚萍 ，燕锋 ，左旭舟 ，沈连丰 （1. 东南大学，江苏 南京 210096 ；2. 电子科技大学，四川 成都 610054 ） 为了实现超密集网络中的绿色通信，提出一种基于能效最优的资源分配算法。首先，在考虑用户服 务质量（quality of service，QoS ）需求和干扰容限的情况下，建立最大化网络能效的优化问题。其次，为了降 低求解原问题的计算复杂度，采用柯西不等式将原优化问题进行松弛，从而转化为非合作博弈问题。进而， 在满足最大最小公平（max-min fairness ，MMF ）准则的情况下，提出一种分布式能效最优算法（distributed EE maximization algorithm ，DEMA ）。仿真结果表明，所提算法较传统算法可以更好地兼顾系统的能效和吞吐量 性能。 超密集网络；能效最优；非合作博弈；分布式能效最优算法 TP393 A doi: 10.11959/j.issn.1000−0801.2017282 An optimal energy-efficient resource allocation algorithm in ultra-dense network 1 1 1 1 2 1 ZHANG Yueyue , XIA Weiwei , ZHU Yaping , YAN Feng , ZUO Xuzhou , SHEN Lianfeng 1. Southeast University, Nanjing 210096, China 2. University of Electronic Science and Technology of China, Chengdu 610054, China Abstract: The energy-efficient resource allocation problem was taken in an ultra-dense network(UDN) consisted of multiple femtocells. Aiming at maximizing the energy efficiency (EE) of the whole network, quality of service (QoS) constraint and interference limitation was considered. Then, the established nonconvex and nonlinear problem was relaxed relying on Cauchy inequality, and was developed into a non-cooperative game. Additionally, a distributed EE maximization algorithm was proposed satisfying the max-min fairness (MMF) criterion. Simulation results show that the proposed algorithm outperformances the existing algorithms in terms of the EE and the throughput. Key words: ultra-dense network, optimal ener