Abstract
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 smooth approximation-based iterative algorithms to address the JBAS problem. The simulation results validate the effectiveness of the proposed algorithms in terms of the achieved SNR and the computational complexity.
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