IEEE Communications Letters
Linear processing and sum throughput in the multiuser MIMO downlink?
IEEE Transactions on Wireless Communications
Cooperative multicell zero-forcing beamforming in cellular downlink channels
IEEE Transactions on Information Theory
Pilot contamination problem in multi-cell TDD systems
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
MIMO signaling over the MMF optical broadcast channel with square-law detection
IEEE Transactions on Communications
Efficient linear precoding in downlink cooperative cellular networks with soft interference nulling
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Linear beamforming for multiuser MIMO downlink systems with channel orthogonalization
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Degrees of freedom and sum rate maximization for two mutually interfering broadcast channels
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Coordinated linear beamforming in downlink multi-cell wireless networks
IEEE Transactions on Wireless Communications
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Cooperative multi-cell block diagonalization with per-base-station power constraints
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Linear precoding in cooperative MIMO cellular networks with limited coordination clusters
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Spatial multiplexing gain for two interfering MIMO broadcast channels based on linear transceiver
IEEE Transactions on Wireless Communications
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The sum rate capacity of the multi-antenna broadcast channel has recently been computed. However, the search for efficient practical schemes that achieve it is still ongoing. In this paper, we focus on schemes with linear preprocessing of the transmitted data. We propose two criteria for the preceding matrix design: one maximizing the sum rate and the other maximizing the minimum rate among all users. The latter problem is shown to be quasiconvex and is solved exactly via a bisection method. In addition to preceding, we employ a signal scaling scheme that minimizes the average bit-error-rate (BER). The signal scaling scheme is posed as a convex optimization problem, and thus can be solved exactly via efficient interior-point methods. In terms of the achievable sum rate, the proposed technique significantly outperforms traditional channel inversion methods, while having comparable (in fact, often superior) BER performance