DocumentCode :
180381
Title :
Multi-antenna relay network beamforming design for multiuser peer-to-peer communications
Author :
Jiangwei Chen ; Min Dong
Author_Institution :
Dept. of Electr., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
7594
Lastpage :
7598
Abstract :
We consider a multi-user peer-to-peer relay network with multiple multi-antenna relays for amplify-and-forward relaying. Assuming distributed relay beamforming strategy, we investigate the design of each relay processing matrix to minimize the per-antenna relay power usage for given users´ SNR targets. As the problem is NP-hard, we developed an approximate solution through the Lagrange dual domain. Through a sequence of transformations, we obtain a semi-closed form solution which can be determined by solving an efficient semi-definite programming problem. We also considered the semi-definite relaxation (SDR) approach. Compared with the SDR approach, the proposed solution has significantly lower computational complexity. The benefit of such solution is apparent when the optimal solution can be obtained by both approaches. When the solution is suboptimal, simulations show that the SDR approach has better performance. Thus, we proposed a combined method of the two approaches to trade-off performance and complexity. Simulations showed the effectiveness of such combined method.
Keywords :
amplify and forward communication; antenna arrays; array signal processing; optimisation; relay networks (telecommunication); Lagrange dual domain; NP-hard problem; amplify-and-forward relaying; multiantenna relay network beamforming design; multiple multiantenna relay; multiuser peer-to-peer communications; semiclosed form solution; semidefinite relaxation method; transformation sequence; Array signal processing; Complexity theory; Optimization; Relay networks (telecommunications); Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6855077
Filename :
6855077
Link To Document :
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