Receive Antenna Selection With Imperfect Channel Knowledge From Training

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Executive Summary

Receive Antenna Selection (AS), in which a subset of a receiver's antennas is selected based on the instantaneous channel condition, enables the receiver to benefit from having multiple antenna elements despite using significantly less hardware. However, the limited hardware resources also impose unique constraints on how channel state information, which is necessary to select the antennas and decode data, can be acquired for AS. The authors derive novel closed-form expressions for the symbol error probability of MPSK and MQAM over time-varying Rayleigh fading channels using AS. Their analysis explicitly considers a practical and general training model that accounts for noisy channel estimates and training delays that affect both selection and data decoding.

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