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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
- 通信学报 2015年36卷第10期 页码：245-251
- 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：
[ "陈文阳（1990-），男，江苏无锡人，东南大学硕士生，主要研究方向为 MIMO通信、绿色通信。" ]
[ "何世文（1978-），男，湖南郴州人，东南大学博士后，主要研究方向为多输入多输出通信、协作通信、绿色通信、大规模多输入多输出通信、毫米波通信无线局域网通信技术和优化理论。" ]
[ "黄永明（1977-），男，江苏吴江人，东南大学教授、博士生导师，主要研究方向为 MIMO 通信、协作通信和卫星移动通信。" ]
[ "杨绿溪（1964-），男，安徽桐城人，东南大学教授、博士生导师，主要研究方向为移动通信中的 MIMO 空时信号处理、中继协作通信与网络编码、盲信号处理与阵列信号处理。" ]
- 基金信息：国家自然科学基金资助项目(61471120);江苏省科研基金资助项目(BK20130019)
DOI：10.11959/j.issn.1000-436x.2015257
中图分类号： TN92-
网络出版日期：2015-10，
纸质出版日期：2015-10-25
- 稿件说明：
移动端阅览
陈文阳, 何世文, 黄永明, 等. 多小区多用户下行能效优化波束成形的分布式实现算法[J]. 通信学报, 2015,36(10):245-251.
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.
陈文阳, 何世文, 黄永明, 等. 多小区多用户下行能效优化波束成形的分布式实现算法[J]. 通信学报, 2015,36(10):245-251. DOI： 10.11959/j.issn.1000-436x.2015257.
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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