Robust Cooperative Relay Beamforming

Wireless Communications Letters, IEEE(2017)

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摘要
In this paper, the robust distributed relay beamforming problem is solved using the worst case approach, where the problem solution has been involved because of the effect of uncertainty of channel knowledge on the quality of service (QoS) constraints. It is shown that the original robust design, which is a non-convex semi-infinite problem (SIP), can be relaxed and reformed to a semi-definite problem (SDP). Monte-Carlo simulations are presented to verify the performance improvement of our proposed robust problem over existing robust and non-robust problems in terms of transmit power and symbol error probability.
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关键词
Monte Carlo methods,array signal processing,cooperative communication,error statistics,quality of service,relay networks (telecommunication),Monte-Carlo simulation,QoS constraints,cooperative relay beamforming,nonconvex semiinfinite problem,quality of service constraints,robust design,robust distributed relay beamforming problem,symbol error probability,transmit power,worst case approach,Distributed relay beamforming,channel uncertainty,robust optimization,semidefinite programming
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