多小区多用户协同资源效率优化算法

doi:10.3969/j.issn.0255-8297.2017.06.001

应用科学学报 ›› 2017, Vol. 35 ›› Issue (6): 675-684.doi: 10.3969/j.issn.0255-8297.2017.06.001

多小区多用户协同资源效率优化算法

钱叶旺^1,2, 何世文^1,3, 杨绿溪¹

1. 东南大学信息科学与工程学院, 南京 210096;
2. 池州学院机电工程学院, 安徽池州 247000;
3. 桂林电子科技大学认知无线电与信息处理教育部重点实验室, 广西桂林 541004

收稿日期:2016-10-13 修回日期:2017-02-26 出版日期:2017-11-30 发布日期:2017-11-30
作者简介:钱叶旺,副教授,研究方向:MIMO 通信信号处理、能效通信技术等,E-mail:yewang_qian@163.com
基金资助:
国家自然科学基金（No.61471120，No.61372101）；国家科技重大专项基金（No.2013ZX03003006-02）；安徽省高校自然科学研究基金（No.KJ2015A198）；桂林电子科技大学“认知无线电与信息处理”教育部重点实验室开放基金（No.CRKL160203）资助

Multi-cell Multi-user Coordinated Resource Efficiency Optimization

QIAN Ye-wang^1,2, HE Shi-wen^1,3, YANG Lü-xi¹

1. School of Information Engineering, Southeast University, Nanjing 210096, China;
2. Mechanical and Electronic Engineering College, Chizhou University, Chizhou 247000, Anhui Province, China;
3. Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, Guangxi Province, China

Received:2016-10-13 Revised:2017-02-26 Online:2017-11-30 Published:2017-11-30

摘要/Abstract

摘要：

对第5代无线通信而言，频谱效率和能源效率已经成为衡量无线通信系统性能的两个关键指标.研究了多小区多用户下行链路的资源效率最大化问题，其中资源效率定义为频谱效率和能源效率的加权和.干扰信道的用户速率是一个非凸函数，因此所研究的优化问题也是一个非凸优化问题.利用分数规划理论和用户速率与最小均方误差间的关系，将原优化问题转换成一个易于求解的优化问题.针对所获得的转换问题，提出一种分层迭代交替优化算法，并证明算法的收敛性.数值仿真表明了所提算法的有效性.

关键词: 非凸问题, 多小区协同通信, 分式规划, 预编码, 资源效率优化

Abstract:

Spectrum efficiency (SE) and energy efficiency (EE) are key specifications for the performance of the fifth generation (5G) wireless communications. In this paper, we study optimization of resource efficiency of a coordinated multi-cell multi-user downlink system defined as a weighted sum of SE and EE. The considered optimization is a nonconvex problem due to nonconvexity of the user rate for an interference channel. The original problem is transformed to a tractable form by exploiting the fractional problem theory and the relation between the user rate and minimum mean square error. A hierarchical iterative alternating optimization algorithm is then proposed to address the latter. Furthermore, convergence of the algorithm is shown. Numerical results are provided to validate effectiveness of the proposed algorithm.

Key words: multi-cell coordinated communication, precoding, resource efficient optimization, non-convex problem, fractional programming

中图分类号:

TN911.7

钱叶旺, 何世文, 杨绿溪. 多小区多用户协同资源效率优化算法[J]. 应用科学学报, 2017, 35(6): 675-684.

QIAN Ye-wang, HE Shi-wen, YANG Lü-xi. Multi-cell Multi-user Coordinated Resource Efficiency Optimization[J]. Journal of Applied Sciences, 2017, 35(6): 675-684.

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多小区多用户协同资源效率优化算法

Multi-cell Multi-user Coordinated Resource Efficiency Optimization

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