Low Complexity Antenna Selection Algorithms for downlink Distributed MIMO Systems

Abstract

Distributed Multiple Input Multiple Output system (D-MIMO) becomes an attractive topic for increasing system capacity more efficiently. In this paper, we propose a novel two-step antenna selection algorithm for downlink D-MIMO systems. First, the distributed antenna cluster is selected based on maximum path fading, and then the antennas in the selected antenna cluster are chosen utilizing the permutation and QR decomposition (IC-PQRD) method for V-BLAST systems with Ordered Successive Interference Cancellation detection (OSIC). The analysis and simulation results show that the proposed algorithm could greatly enhance the average channel capacity of the downlink distributed antenna systems. Furthermore, in the edge region of a cell, both the system capacity and symbol error probability (SER) are significantly improved due to the antenna cluster selection process. For in-cluster antenna selection in the second step, the IC-PQRD algorithm could largely improve the system outage capacity with low computational complexity and low SER.