An improved detection algorithm for massive MIMO system

The massive multiple-input multiple-output (MIMO) system is one of the most important key technologies in 5G era and will play an important role in the future telecommunication development. In massive MIMO signal detection, a huge number of matrix calculations need to be completed, especially matrix inversion. This makes the massive MIMO detection algorithm computationally complex and consumes lots of resources. Firstly, this paper briefly introduces and analyzes a variety of traditional iterative algorithms. Based on simplifying the inversion of MMSE matrix by solving linear equations, an improved algorithm is proposed to reduce the number of iterations by optimizing the initial solution to achieve the same detection performance as the traditional algorithms. The computational complexity of the proposed algorithm keep consistently at 𝑂(K2), which is one order of magnitude lower than the traditional ones.