Fast Convergent Unified Richardson Detection Technique for Massive MIMO Systems

Massive multiple-input multiple-output or massive MIMO, is an expansion of MIMO that brings several antennas at the transmitter and receiver to enhance throughput and spectrum efficiency. Because of its potential to increase the volume of antennas, this technique has become an important part of wireless standards. Nevertheless, as Massive MIMO works with large number of antennas it requires progressive detecting techniques. Many linear conventional detecting techniques like Zero Forcing and MMSE techniques gives optimal BER performance. But both techniques gives rise to high computational complexity because of exact matrix inversion operations. Many iterative inversion methods like Nuemann Series, Newton Iteration method and Richardson methods were introduced to reduce that complexity. Paper proposes a fast convergent Richardson method which gives the near best BER performance as that of MMSE in less number of iterations.