Sparse Beamforming in Multiple Multi-Antenna Amplify-and-Forward Relay Networks

Zhao, Mingxiong; Wang, Xiangfeng; Liu, Yuan

doi:10.1109/lcomm.2014.2317731

Cited by 3 publications

(1 citation statement)

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“…However, the cost of such full cooperation can be large due to power consumption and signaling overhead. To tackle this problem, another way is partial cooperation by using only a subset of the relays to assist the source-destination transmission [6][7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

Sparse beamforming in peer-to-peer relay networks

Hou¹,

Qi²,

Chen³

2015

Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

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To reduce active relays in peer-to-peer relay networks, a sparsity promoting penalty term is introduced into the objective function to obtain beamforming weights through minimization of the total relay transmit power while the signal-to-interference-plus-noise ratio (SINR) at the destinations are guaranteed to be above certain thresholds. To deal with the non-convexity of the problem, we use semidefinite relaxation to turn this problem into a semidefinite programming (SDP) problem. Then we can efficiently solve the SDP problem using interior point method based software tools. Simulation results show that the proposed method can efficiently conduct relay selection with a mild increase in minimum total transmit power of the relays compared with the traditional full cooperative relay network.

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Section: Introductionmentioning

confidence: 99%