Rate-optimal multiuser scheduling with reduced feedback load and analysis of delay effects
EURASIP Journal on Wireless Communications and Networking
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
MIMO Broadcast Scheduling with Limited Feedback
IEEE Journal on Selected Areas in Communications
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In this paper, we investigate the average capacity and its scaling law of the user scheduling for the multiuser MIMO systems exploiting multiuser and antenna diversities. We show that the limiting distribution of maximum SNR is of the Gumbel-type and average capacity scaling law follows log log k form. We also consider the effect of scheduling delay on the performance of scheduling scheme. Then, we propose two limited feedback scheduling and obtain their average capacity and show that they match the simulation results very well. In the first approach, the base station (BS) always collects feedback from the user with the best channel condition. We derive the normalized feedback load as well as the threshold value that minimizes it. The second approach employs quantization for each user, so that few bits of SNR are sent to the BS. We show that even with 1-bit quantization, the proposed quantized feedback scheduling can exploit multiuser diversity at the expense of trivial decrease of average capacity.