On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
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
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
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In multiuser multiple-input-multiple-output (MIMO) downlink channels, zero-forcing beamforming (ZFBF), though it is simpler than dirty-paper coding (DPC), has been shown to achieve an optimal sum-capacity growth as the number of users goes to infinity. However, the result is based on the assumption that perfect channel information at the transmitter from all the users is known, which is prohibitive especially for a large number of users due to feedback congestion. In this case, wisely preventing the users with poor channel quality from sending the feedback might relieve the burdensome feedback load, which is often called quality-based channel state reporting (QBR). In this letter, we prove ZFBF with QBR also can achieve the asymptotic optimal growth. With numerical investigations, the optimality is confirmed. In addition, we numerically show how much feedback burden can be reduced by QBR at a negligible cost of the sum-capacity.