Journal of Xidian University

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

SUN Yanjing;LIU Wen;CAO Qi;WANG Xiaolin;ZHOU Shu;LI Song   

  1. (School of Information and Control Engineering, China Univ. of Mining and Technology, Xuzhou 221008, China)
  • Received:2017-03-27 Online:2018-04-20 Published:2018-06-06

Abstract:

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.

Key words: channel estimation, limited dynamic range, full-duplex;MIMO system, power allocation