Comparison of four different methods for massive MIMO detection and VLSI design

Abstract

The use of Multiple-input-multiple-output (MIMO) technology has proven to be successful. To make MIMO more accessible, it is necessary to simplify the processor operation. This paper proposes four approaches for achieving this goal: symmetric successive overrelaxation (SSOR), Gauss-Seidel (GS), approximate matrix inversion based on Neumann series, and Conjugate Gradients. The performance and VLSI of these methods are compared to determine their effectiveness.