On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
User Selection With Zero-Forcing Beamforming Achieves the Asymptotically Optimal Sum Rate
IEEE Transactions on Signal Processing - Part I
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
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
On the User Selection for MIMO Broadcast Channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
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This paper investigates a low complexity zero-forcing dirty paper coding based transmission approach for the MIMO broadcast channel, employing eigenmode transmission with greedy semi-orthogonal user selection (SUS). We prove that as the number of users K grows large, our scheme achieves the optimal sum rate scaling of the MIMO broadcast channel (i.e. linear scaling with the number of transmit antennas, and double-logarithmic scaling with K). In addition, we show that whilst the number of receive antennas only affects the asymptotic sum rate scaling via the second-order behavior of the multiuser diversity gain; for finite K, the benefit due to multiple receive antennas can be very significant. Finally, we show the interesting result that the semi-orthogonality constraint imposed by the SUS algorithm, whilst facilitating a very low complexity user selection procedure, does not reduce the multiuser diversity gain in either first or second-order.