通信学报 ›› 2015, Vol. 36 ›› Issue (10): 245-251.doi: 10.11959/j.issn.1000-436x.2015257

• 学术通信 • 上一篇    下一篇

多小区多用户下行能效优化波束成形的分布式实现算法

陈文阳,何世文,黄永明,杨绿溪   

  1. 东南大学 信息科学与工程学院,江苏 南京 210096
  • 出版日期:2015-10-25 发布日期:2015-10-27
  • 基金资助:
    国家自然科学基金资助项目;江苏省自然科学基金资助项目

Distributed energy efficient beamforming algorithm for multicell multiuser downlink system

Wen-yang CHEN,Shi-wen HE,Yong-ming HUANG,Lv-xi YANG   

  1. School of Information Science and Engineering,Southeast University,Nanjing 210096,China
  • Online:2015-10-25 Published:2015-10-27
  • Supported by:
    The National Natural Science Foundation of China;The Natural Science Foundation of Jiangsu Province

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。

关键词: 分布式实现, 能效优化, 分数规划, 干扰温度, 波束成形

Abstract:

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.

Key words: distributed realization, energy efficiency optimization, fractional programming, interference temperature, beamforming

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