On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding
IEEE Transactions on Information Theory
Communication Over MIMO Broadcast Channels Using Lattice-Basis Reduction
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Vector Precoding for Wireless MIMO Systems and its Replica Analysis
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
This paper considers the multiuser multiple-input multiple-output (MIMO) Rayleigh fading broadcast channel. We consider the case where the multiple transmit antennas are used to deliver independent data streams to multiple users via a multi-user technique known as vector perturbation. We derive expressions for the capacity in terms of the average energy of the precoded vector, and use this to derive a closed-form high-SNR upper bound, which we show to be tight via simulation. We then turn to the practical issue of user selection. We propose a low-complexity user selection algorithm that attempts to maximize the high-SNR sum rate upper bound. Simulations show that the algorithm outperforms other user selection algorithms of similar complexity.