Receive Antenna Selection for MIMO Systems in the Presence of Unknown Interference

In this paper, a novel receive antenna selection technique is proposed for Multiple Input Multiple Output (MIMO) spatial multiplexing systems with linear receivers in the presence of unknown interference. This antenna selection technique is directly implemented based on training sample sequence under the Least Squares (LS) criterion. Simulation results show that the proposed antenna selection technique is able to retain the diversity benefit of full complexity system in the presence of unknown Multiple Access Interference (MAI), without the need for explicit channel estimation. In addition, practical implementation with manageable complexity is made possible by extending the fast Backward Greedy Algorithm (BGA) into the proposed antenna selection algorithm.