JOINT DESIGN FOR SOURCE AND RELAY PRECODING IN AF-BASED MIMO TWO-WAY RELAY NETWORKS

被引：0
|
作者：
Fang, Bing [1 ]
Qian, Zuping [1 ]
Zhong, Wei [1 ]
Shao, Wei [1 ]
机构：
[1] PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
来源：
2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | 2015年
关键词：
MIMO two-way relaying; convex optimization; minimum mean-square error (MMSE); SUM-RATE MAXIMIZATION; OPTIMIZATION; CAPACITY; SYSTEMS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Joint precoding for multiple-input multiple-output (MIMO) two-way relay networks has recently received much attention. In this paper, we present a coherent way to iteratively optimize the source and relay precoding matrices based on convex programming. Although the proposed total mean-square error (MSE) minimization problem is not joint convex for both the sources and relay, the subproblems for separate optimization can be both formulated as a standard convex programming problem. Numerical results further show that the proposed iterative precoding algorithm converges very fast.
引用
收藏
页码：953 / 957
页数：5
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