Geometric-Mean-Decomposition-Based Optimal Transceiver for a Class of Two-Hop MIMO-Aided Amplify-and-Forward Relay Channels

被引：1
|
作者：
Liu, Wei [1 ]
Li, Chuan [2 ]
Li, Jian-Dong [1 ]
Hanzo, Lajos [3 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Xian Univ Posts & Telecommun, Sch Comp & Technol, Xian 710121, Peoples R China
[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2014年 / 63卷 / 02期
基金：
英国工程与自然科学研究理事会; 欧洲研究理事会; 中国国家自然科学基金;
关键词：
Geometric mean decomposition (GMD); geometric programming; multiple-input multiple-output (MIMO); optimal weighting matrix; relay; UNIFIED FRAMEWORK; DESIGN; SYSTEMS;
D O I：
10.1109/TVT.2013.2279679
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：
A geometric mean decomposition (GMD)-based joint transceiver is investigated in the context of a multiple-input-multiple-output (MIMO)-aided relay-assisted two-hop amplify-and-forward relaying system. The canonical form of the optimal weighting matrix is derived, which is capable of achieving the maximum received signal-to-noise ratio (SNR) at the destination. Furthermore, the optimal power allocation is formulated as a geometric programming problem. The proposed optimal design of the linear weighting matrix achieves an approximately 5-dB SNR gain over the naive weighting matrix at the bit error rate (BER) of 10(-3) as a benefit of efficiently exploiting the low-complexity linear signal processing capability of the relay.
引用
收藏
页码：948 / 952
页数：5
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