Distributed energy efficient beamforming algorithm for multicell multiuser downlink system

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

doi:10.11959/j.issn.1000-436x.2015257

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Distributed energy efficient beamforming algorithm for multicell multiuser downlink system

Academic communication | 更新时间：2024-06-05

- Distributed energy efficient beamforming algorithm for multicell multiuser downlink system
- Journal on Communications Vol. 36, Issue 10, Pages: 245-251(2015)
- 作者机构：
  
  东南大学信息科学与工程学院，江苏南京 210096
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61471120);The Research Program of Jiangsu Province(BK20130019)
- DOI：10.11959/j.issn.1000-436x.2015257
  CLC： TN92
- Online First：2015-10，
  
  Published：25 October 2015
- 稿件说明：
移动端阅览
Wen-yang CHEN, Shi-wen HE, Yong-ming HUANG, et al. Distributed energy efficient beamforming algorithm for multicell multiuser downlink system[J]. Journal on Communications, 2015, 36(10): 245-251.
DOI：

Wen-yang CHEN, Shi-wen HE, Yong-ming HUANG, et al. Distributed energy efficient beamforming algorithm for multicell multiuser downlink system[J]. Journal on Communications, 2015, 36(10): 245-251. DOI： 10.11959/j.issn.1000-436x.2015257.

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。

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.

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references

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