2012 5th International Conference on New Technologies, Mobility and Security (NTMS) 2012
DOI: 10.1109/ntms.2012.6208772
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Relay Power Minimization Approach Based on General-Rank Beamforming for Multi-Antenna Relaying Schemes

Abstract: Cooperative multi-antenna transmission is considered in relay networks, in which a source transmits its information to destination with the help of multi-antenna relay. In the first phase, source transmits its signal to the multi-antenna relay. Then the relay manipulates the received signal with the generalrank complex beamforming matrix and retransmits it. Assuming second-order statistics of channel state information, general-rank complex beamforming matrix is determined to minimize the power that dissipated … Show more

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Cited by 5 publications
(1 citation statement)
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“…One-way relaying schemes have been investigated in the literatures with different design issues and channel information assumptions [3], [4], [5], [6]. In [6], a distributed beamforming technique in a wireless network where a set of distributed relays cooperate with each other to deliver the data transmitted by a source to a destination have been developed based on two different methods, namely total relay transmit power minimization under quality of service constraint and SNR maximization under a total relay power budget constraint and individual relay power constraint with the second-order statistics of CSI assumption.…”
Section: Introductionmentioning
confidence: 99%
“…One-way relaying schemes have been investigated in the literatures with different design issues and channel information assumptions [3], [4], [5], [6]. In [6], a distributed beamforming technique in a wireless network where a set of distributed relays cooperate with each other to deliver the data transmitted by a source to a destination have been developed based on two different methods, namely total relay transmit power minimization under quality of service constraint and SNR maximization under a total relay power budget constraint and individual relay power constraint with the second-order statistics of CSI assumption.…”
Section: Introductionmentioning
confidence: 99%