Abstract: An efficient low-complexity minimum mean-squared-error (MMSE) receiver structure for massive multiple-input multiple-output (massive MIMO) networks is proposed. It is based on the steepest descent and least mean-square algorithms which can be devoid of the matrix inverse operation.The two algorithms are proved to be convergent when applied in the MMSE detection.Factors that affect the rate of convergence are also analyzed.Analysis and simulation shows that the proposed receiver architecture enjoys a low complexity property and can provide virtually the same performance as the conventional MMSE receiver.

Key words: massive multiple-input multiple-output, minimum mean-squared-error, steepest descent, least mean-square