Performance based receive antenna selection for V-BLAST systems
IEEE Transactions on Wireless Communications
A near-optimal joint transmit and receive antenna selection algorithm for MIMO systems
RWS'09 Proceedings of the 4th international conference on Radio and wireless symposium
RWS'10 Proceedings of the 2010 IEEE conference on Radio and wireless symposium
Near-optimal joint antenna selection for amplify-and-forward relay networks
IEEE Transactions on Wireless Communications
Global and fast receiver antenna selection for MIMO systems
IEEE Transactions on Communications
Low complexity transmit antenna selection for spatial multiplexing systems
Digital Signal Processing
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
IEEE Transactions on Signal Processing
Fast antenna subset selection in MIMO systems
IEEE Transactions on Signal Processing
Selecting array configurations for MIMO systems: an evolutionary computation approach
IEEE Transactions on Wireless Communications
Capacity of MIMO systems with antenna selection
IEEE Transactions on Wireless Communications
Space-time decoding with imperfect channel estimation
IEEE Transactions on Wireless Communications
Adaptive transmit antenna selection with pragmatic space-time trellis codes
IEEE Transactions on Wireless Communications
Antenna selection in MIMO systems
IEEE Communications Magazine
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The Vertical Bell Laboratories Layer Space-Time (V-BLAST) system using ordered successive interference cancellation (OSIC) detection is a popular system architecture featuring high data rate and moderate computational complexity. The performance of the V-BLAST system can be further improved by exploiting the diversity and closed-loop gain provided by the technique of combined antenna selection (CAS). In this paper, we investigate the design of CAS algorithms with a goal to minimize the system@?s error rate. As the error rate of a system varies dramatically with the transceiver architecture, the proposed CAS algorithms explicitly take the VBLAST detection structure into account. Despite the optimal CAS can be achieved by exhaustively searching all the transmit and receive antenna subsets, the applicability of this brute-force approach is excessively limited due to its huge computational complexity. To this end, we propose two computationally efficient CAS algorithms by implementing a greedy strategy incrementally or decrementally to fully exploit the recursive structure of mean-square-error matrices between consecutive V-BLAST detection stages. Near optimal error rate performance can therefore be obtained with significantly lower complexity as verified by the extensive computer simulations.