Massive MIMO Antenna Selection Algorithm Based on Dual Targets for 5G Networks

Massive MIMO(multiple input multiple output) technology has become the key of the next generation mobile communication networks, it uses a large number of antennas to improve spectrum effectiveness and power efficiency. The existing algorithms are only for single targets: maximum channel capacity or minimum symbol error rate, so this paper focuses on the dual targets antenna selection algorithm to ensure better balance. According to the existing algorithm, lattice reduction CLLL and variable list detection(VLD) are used to the antenna selection algorithm. Simulation results reveal that the improved algorithm has a larger channel capacity and a smaller symbol error rate with traditional single target algorithm.