Low Complexity MIMO Detection Using Complement and LSB Set Approximation

Abstract

Multiple Input Multiple Output (MIMO) antenna-based wireless systems can deliver higher data rates at the cost of higher system complexity. The detection method requires performing different arithmetic operations to estimate the transmitted message. 2’s complemented fixed-point data type is a popular choice over floating-point data types as it allows faster computation. This study proposed a complement and LSB set approximation that can deliver the almost same performance as 2s complement-based arithmetic with minor performance loss. The proposed method shows significant computational complexity reduction compared to 2’s complement-based approach. Simulation results show that the mean absolute error and mean square error of the proposed method concerning 2’s complemented computation are dependent on the choice of data width and fraction widths. Also, detection performance is almost the same.