Abstract | ||
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This letter investigates joint beamforming and antenna selection (JBAS) for a spatial diversity multiple-input multiple-output system, where the transmitter equipped with multiple antennas performs both antenna selection and beamforming optimization to maximize the received signal-to-noise ratio (SNR). The JBAS problem is NP-hard to solve due to a sparsity constraint. In this letter, we propose sm... |
Year | DOI | Venue |
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2018 | 10.1109/LWC.2018.2815529 | IEEE Wireless Communications Letters |
Keywords | Field | DocType |
Approximation algorithms,MIMO communication,Signal to noise ratio,Transmitting antennas,Complexity theory,Receiving antennas | Transmitter,Approximation algorithm,Beamforming,Mathematical optimization,Antenna diversity,Mimo systems,Smooth approximation,Signal-to-noise ratio,Algorithm,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
7 | 5 | 2162-2337 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mingjie Zhao | 1 | 1 | 0.36 |
Xiangyi Chen | 2 | 54 | 4.60 |
Qingjiang Shi | 3 | 725 | 56.93 |
WeiQiang Xu | 4 | 578 | 34.46 |