Dual antenna selection algorithms and feedback strategies with reduced complexity for multiple-input multiple-output systems

A simple antenna selection strategy for multiple-input multiple-output wireless systems with partial feedback is presented. In the proposed scheme, both transmit and receive antenna selection are done at the receiver, significantly reducing feedback information. In addition, this scheme uses row/column probability density function for antenna selection to reduce computational complexity without performance degradation. Unlike other schemes, two different antenna selection algorithms are used in high and low signal-to-noise ratio regimes, respectively, achieving additional performance gain in comparison to the single antenna selection algorithm. Simulation results show that the proposed scheme nearly approaches the optimal closed-loop capacity (known as water-filling capacity) as random selection round for antenna selection increases.