Sum Rates and User Scheduling for Multi-User MIMO Vector Perturbation Precoding
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[1] Shlomo Shamai,et al. On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.
[2] A. Lee Swindlehurst,et al. A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation , 2005, IEEE Transactions on Communications.
[3] Nihar Jindal. MIMO broadcast channels with finite rate feedback , 2005, GLOBECOM.
[4] Rick S. Blum,et al. Multiuser diversity for a dirty paper approach , 2003, IEEE Communications Letters.
[5] N. Jindal,et al. High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding , 2006, IEEE Transactions on Information Theory.
[6] U. Fincke,et al. Improved methods for calculating vectors of short length in a lattice , 1985 .
[7] Andrea J. Goldsmith,et al. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.
[8] Andrea J. Goldsmith,et al. Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.
[9] A. Lee Swindlehurst,et al. A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization , 2005, IEEE Transactions on Communications.
[10] Amir K. Khandani,et al. Communication Over MIMO Broadcast Channels Using Lattice-Basis Reduction , 2006, IEEE Transactions on Information Theory.
[11] Ralf R. Müller,et al. Vector Precoding for Wireless MIMO Systems and its Replica Analysis , 2007, IEEE Journal on Selected Areas in Communications.
[12] Robert W. Heath,et al. A Lattice-Theoretic Analysis of Vector Perturbation for Multi-User MIMO Systems , 2008, 2008 IEEE International Conference on Communications.