Wireless Communications & Mobile Computing - Special Issue: Multiple-Input Multiple-Output (MIMO) Communications
Optimum linear joint transmit-receive processing for MIMO channels with QoS constraints
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Joint transmitter receiver diversity for efficient space division multiaccess
IEEE Transactions on Wireless Communications
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
Transmit beamforming and power control for cellular wireless systems
IEEE Journal on Selected Areas in Communications
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Downlink capacity evaluation of cellular networks with known-interference cancellation
IEEE Journal on Selected Areas in Communications
Downlink assisted uplink zero-forcing for TDD multiuser MIMO systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
An Optimization Framework for Demand-based Fair Stream Allocation in MIMO Ad Hoc Networks
Mobile Networks and Applications
Utility of beamforming strategies for secrecy in multiuser MIMO wiretap channels
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
User selection in multiuser MIMO systems with secrecy considerations
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Cellular Downlink Performance with Covariance-CSIT-Based MIMO Precoding
Wireless Personal Communications: An International Journal
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In the downlink of a multiuser multiple-input multiple-output (MIMO) communication system, simultaneous transmission to several users requires joint optimization of the transmitted signals. Allowing all users to have multiple antennas adds an additional degree of complexity to the problem. In this paper, we examine the case where a single base station transmits to multiple users using linear processing (beamforming) at each of the antenna arrays. We propose generalizations of several previous iterative algorithms for multiuser transmit beamforming that allow multiple antennas and multiple data streams for each user, and that take into account imperfect channel estimates at the transmitter. We then present a new hybrid algorithm that is based on coordinated transmit-receive beamforming, and combines the strengths of nonorthogonal iterative solutions with zero-forcing solutions. The problem of distributing power among the subchannels is solved by using standard bit-loading algorithms combined with the subchannel gains resulting from the zero-forcing solution. The result is a significant performance improvement over equal power distribution. At the same time, the number of iterations required to compute the final solution is reduced.