Mojtaba Amiri - Electrical Engineering Department, Shahed University, Tehran, Iran
Roya Khanzade - Electrical Engineering Department, Shahed University, Tehran, Iran
Mahmoud Ferdosizadeh Naeiny - Electrical Engineering Department, Shahed University, Tehran, Iran

In this paper, two low complexity iterative hard and soft decision based detection methods for massive multiuser multiple-input and multiple-output (MIMO) systems have been proposed. In soft decision based method, in each iteration, the estimated symbols are mapped to the nearest constellation points using a soft mapping operation. The zone of the soft mapping operation is optimized for the best performance in terms of convergence speed and Bit Error Rate (BER). Simulation results show that the proposed detectors outperform the conventional detection methods without any additional complexity.

Massive MIMO systems, Detectors, Iterative Method, steepest descent, Jacobi iteration, matrix inversion.