Opportunistic beamforming based on multiple weighting vectors
IEEE Transactions on Wireless Communications
On the balance of multiuser diversity and spatial multiplexing gain in random beamforming
IEEE Transactions on Wireless Communications
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
A random beamforming technique in MIMO systems exploiting multiuser diversity
IEEE Journal on Selected Areas in Communications
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In this paper, we propose an adaptive random beamforming scheme with beam selection. In order to recover the orthogonality among beams, we adopt a minimum mean-square error (MMSE) interference suppression receiver for the orthogonal random beamforming (ORBF) scheme and find efficient power allocation strategies. Based on a proportional-fairness criterion, we propose a sub-optimal beam selection scheme and show that the random beam selection (or power randomization) scheme can outperform the conventional equal power allocation scheme, mitigating the burden of optimal beam selection. Therefore, the proposed ORBF/MMSE with beam selection scheme can improve the degraded performance in the interference-limited environment considering the feedback overhead and time selectivity of the wireless channel for practical cellular systems.