Currently, massive multiple input multiple output (MIMO) is one of the most promising wireless transmission technologies for 5G. Massive MIMO requires handling with largescale matrix computation, especially for matrix inversion. In this paper, we find that matrix inversion based on Newton iteration (NI) is suitable for data detection in massive MIMO system. In contrast with recently proposed polynomial expansion (PE) method for matrix inversion, we analyse both the algorithm complexity and precision in detail, and propose a diagonal band Newton iteration (DBNI) method which is an approximate method for NI. Compared with PE method, DBNI can obtain higher precision and approximately equal complexity, and we give an explanation of how to select the band width of DBNI.

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