On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Selecting an optimal set of transmit antennas for a low rank matrix channel
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
A fast recursive algorithm for optimum sequential signal detection in a BLAST system
IEEE Transactions on Signal Processing
MIMO antenna subset selection with space-time coding
IEEE Transactions on Signal Processing
Receive antenna selection for MIMO spatial multiplexing: theory and algorithms
IEEE Transactions on Signal Processing
Fast antenna subset selection in MIMO systems
IEEE Transactions on Signal Processing
Capacity of MIMO systems with antenna selection
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Capacity of MIMO Channels With Antenna Selection
IEEE Transactions on Information Theory
Computationally efficient near-optimal combined antenna selection algorithms for V-BLAST systems
Digital Signal Processing
Optimal adaptive channel scheduling for scalable video broadcasting over MIMO wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Multiple antennas wireless systems can achieve large capacity at the expense of high hardware cost associated with the radio frequency chains. Antenna selection schemes make use of more antennas than RF chains and select a subset of antennas to effectively reduce the hardware cost and power consumption without much capacity loss. In this paper, the problem of receive antenna selection in V-BLAST systems is investigated. Two performance based selection criteria are proposed, namely the min-max MSE and min-first stage MSE criteria. The min-max criterion achieves the best performance at the expense of high computational complexity. Complexity reduced algorithms for this selection scheme are discussed. Analytical proof is provided to show the suboptimality of the capacity based selection to the performance based selection. The hybrid scheme, which combines the performance and capacity based selection approaches is proposed, it provides a good trade-off between performance and complexity. Computer simulations demonstrate that the complexity reduction algorithms and the hybrid scheme perform better and also with a lower complexity than the capacity based selection algorithm under most system configurations. Finally, robustness of the min-max MSE criterion under channel estimation errors is evaluated via computer simulations.