Min-max mean squared error-based linear transceiver design for multiple-input-multiple-output interference relay channel

被引:9
|
作者
Singh, Vindheshwari P. [1 ]
Chaturvedi, Ajit Kumar [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
关键词
MIMO communication; minimax techniques; radio transceivers; mean square error methods; relay networks (telecommunication); radiofrequency interference; amplify and forward communication; concave programming; minimisation; array signal processing; matrix algebra; wireless channels; min-max mean squared error-based linear transceiver relay design; multiple-input-multiple-output interference relay channel; MSE; MIMO interference relay channel; half-duplex MIMO amplify and forward relays; multiple source-destination pairs; user data streams; transmit power constraints; relay node; source node; nonconvex optimisation problem; suboptimal solution; alternating minimisation; beamforming matrices; destination nodes; numerical simulations; sum-rate performance; bit error rate performance; WIRELESS NETWORKS; ALIGNMENT; DIVERSITY; COOPERATION; ALGORITHMS;
D O I
10.1049/iet-com.2014.0722
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
In this study, the authors consider the min-max mean squared error (MSE)-based linear transceiver-relay design for multiple-input-multiple-output (MIMO) interference relay channel, where a finite number of half-duplex MIMO amplify and forward relays assist the communication between multiple source-destination pairs. The problem is formulated as minimising the maximum MSE among all data streams of all users subject to individual transmit power constraints at each source and relay node. Since the optimisation problem is non-convex, globally optimal solution cannot be guaranteed. They propose a suboptimal solution based on alternating minimisation, where the beamforming matrices at all the source, relay and destination nodes are jointly computed in an iterative manner. Numerical simulations show that the proposed algorithm not only ensures fairness among all users' data streams, but also achieves good sum-rate and bit error rate performance.
引用
收藏
页码:853 / 861
页数:9
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