Antenna selection for MIMO systems with closely spaced antennas
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Receive antenna selection for MIMO systems over correlated fading channels
IEEE Transactions on Wireless Communications
Joint channel estimation and resource allocation for MIMO systems: part I: single-user analysis
IEEE Transactions on Wireless Communications
MIMO techniques in WiMAX and LTE: a feature overview
IEEE Communications Magazine
Global and fast receiver antenna selection for MIMO systems
IEEE Transactions on Communications
Receive antenna selection for MIMO spatial multiplexing: theory and algorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection
IEEE Transactions on Signal Processing
Fast antenna subset selection in MIMO systems
IEEE Transactions on Signal Processing
Multiple-antenna techniques for wireless communications - a comprehensive literature survey
IEEE Communications Surveys & Tutorials
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
Spatial multiplexing over correlated MIMO channels with a closed-form precoder
IEEE Transactions on Wireless Communications
Capacity and power allocation for fading MIMO channels with channel estimation error
IEEE Transactions on Information Theory
Rayleigh fading channels in mobile digital communication systems .I. Characterization
IEEE Communications Magazine
Antenna selection in MIMO systems
IEEE Communications Magazine
Evolution of LTE toward IMT-advanced
IEEE Communications Magazine
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It is well known that the capacity of spatial multiplexing multiple-input multiple-output (SM-MIMO) system employing optimal antenna selection can significantly outperform a system without selection for same number of costly radio frequency chains. However, it requires an exhaustive search for the optimal selection (OS) that grows exponentially with the available number of transmit (u) and receive (m) antennas. In this paper, a novel low complexity receive antenna selection (RAS) technique is proposed for SM-MIMO to maximize the channel capacity over correlated Rayleigh fading environment. It is based on the Euclidean norms of channel matrix rows and the corresponding phase differences due to their direct impact on the capacity. Extensive analysis and simulations have shown near optimal performance for any signal-to-noise-ratio and correlation values with low complexity of $${\mathcal{O} \left({u^{2}m}\right)}$$ vector calculations. This technique provides fast RAS to capture most of the capacity gain promised by multiple antenna systems over different channel conditions. Furthermore, it enables efficient spectrum utilization for next generation wireless communications.