On Downlink Beamforming Methods: Capacity and Error Probability Performance
Wireless Personal Communications: An International Journal
Greedy SINR maximization in collaborative multibase wireless systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
A game-theoretic framework for interference avoidance
IEEE Transactions on Communications
Widely-linear filtering and non-cooperative transceiver optimization in wireless data networks
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
SINR-maximizing spreading code allocation for non-linear serial interference cancellation
IEEE Transactions on Communications
New bounds on the total-squared-correlation of quaternary signature sets and optimal designs
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Game-theoretic approach to joint transmitter adaptation and power control in wireless systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Training-feedback tradeoff in closed-loop synchronous DS-CDMA systems with adaptive user sequences
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
IEEE Transactions on Information Theory
Adaptive binary signature design for code division multiplexing
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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Joint transmitter-receiver adaptation is studied for the reverse link of a direct sequence-code division multiple access system with short signature sequences. The signature for a particular user is computed at the receiver and transmitted back to the transmitter via a feedback channel. A reduced-rank transmitter adaptation scheme is presented in which the signature is constrained to lie in a lower dimensional subspace. This allows a tradeoff between system performance and the number of estimated parameters. Analytical and simulation results show that adaptation of relatively few transmitter coefficients can lead to significant performance improvements. Adaptive algorithms are derived for estimating the transmitter coefficients in the presence of multipath. We consider both collective optimization, in which the users adapt together to improve a global system performance criterion, and individual optimization, in which the signature for a particular user is adapted to optimize individual performance. Numerical results are presented, which show that both individual and collective joint transmitter-receiver adaptation can effectively preequalize the channel and avoid interference at high loads