Symbol Detection in MIMO Systems Using PSOGSA Optimization Algorithm

Abstract

We present a PSOGSA based algorithm for symbol detection in multi-input multi-output (MIMO) system. Since symbol detection is an NP-hard problem so PSOGSA is particularly attractive as PSOGSA algorithms are one of the most successful strands of swarm intelligence and are suitable for applications where low complexity and fast convergence is of absolute importance. Maximum Likelihood (ML) detector gives optimal results but it uses exhaustive search technique. We show that PSOGSA based detector can give near-optimal bit error rate (BER) at a much lower complexity level. The simulation results suggest that the proposed detector gives an acceptable performance complexity trade-off in comparison with ML and VBLAST detectors.