Minimum rate optimization with joint power allocation for full-duplex MIMO relay

被引：0
|
作者：
Sun Y. [1 ]
Liu W. [1 ]
Cao Q. [1 ]
Wang X. [1 ]
Zhou S. [1 ]
Li S. [1 ]
机构：
[1] School of Information and Control Engineering, China Univ. of Mining and Technology, Xuzhou
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2018年 / 45卷 / 02期
关键词：
Channel estimation; Full-duplex; Limited dynamic range; MIMO system; Power allocation;
D O I：
10.3969/j.issn.1001-2400.2018.02.018
中图分类号：
学科分类号：
摘要：
This paper aims at maximizing the end-to-end rate of the full-duplex Multiple-Input Multiple-Output (MIMO) relay system suffering from channel estimation errors and the limited dynamic range (LDR) of electronic components in the RF chain. The problem of rate maximization is formulated as a weighted sum-rate optimization problem and we propose a joint power allocation (JPA) algorithm to solve it. Allowing the system to allocate power based on the channel state information (CSI), JPA is able to jointly optimize the pre-coding matrices of the source node and the relay node. Simulation results reveal that the JPA algorithm outperforms the traditional algorithms associated with individual power constraints. © 2018, The Editorial Board of Journal of Xidian University. All right reserved.
引用
收藏
页码：103 / 109
页数：6
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