多小区多用户下行能效优化波束成形的分布式实现算法  

Distributed energy efficient beamforming algorithm for multicell multiuser downlink system

作　　者：陈文阳[1] 何世文[1] 黄永明[1] 杨绿溪[1] 

机构地区：[1]东南大学信息科学与工程学院,江苏南京210096

出　　处：《通信学报》2015年第10期245-251,共7页Journal on Communications

基　　金：国家自然科学基金资助项目(61471120);江苏省自然科学基金资助项目(BK20130019)~~

摘　　要：针对多小区多用户下行链路通信系统,研究了能效优化波束成形的分布式实现算法。首先,能效优化问题描述为系统加权和速率与系统能量损耗之比的最大化问题,利用分数规划理论将分数形式的优化目标转化成多项式减法形式。其次,引入认知无线电中的干扰温度的概念,将优化问题转化为多个分布式求解的子问题。最后,利用拉格朗日对偶及分步优化理论,提出了一种能效优化波束成形的分布式实现算法。通过仿真结果表明,相对于传统的能效优化算法,所提算法可获得明显的能效性能增益。A distributed energy efficient beamforming algorithm was studied for multicell multiuser downlink communication system. Firstly, the energy efficient optimization problem was first considered as the maximization of the ratio between the system sum rate and the system power consumption. The fractional programming optimization target was then transformed into a subtractive form via using the fractional programming theorem. Secondly, the problem was decomposed into some subproblems that can be solved respectively by introducing the concept of the interference temperature in cognitive radio networks. Finally, an effective distributed energy efficient beamforming algorithm was proposed by exploiting the Lagrangian duality theorem and optimization theorem. Compared to the classical energy efficient optimization algorithm, the proposed algorithm can achieve an obvious energy efficiency performance gain.

关 键 词：分布式实现 能效优化 分数规划 干扰温度 波束成形 

分 类 号：TN92[电子电信—通信与信息系统]