An improved detection algorithm for massive MIMO system

Du Pan; YiMing Yu; XiangChen Ma; SongTao Gao; YanHong Jiao; HaiTao Zhang

doi:10.1117/12.2652691

10 November 2022 An improved detection algorithm for massive MIMO system

Du Pan, YiMing Yu, XiangChen Ma, SongTao Gao, YanHong Jiao, HaiTao Zhang

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 1233105 (2022) https://doi.org/10.1117/12.2652691
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

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.

Citation Download Citation

Du Pan, YiMing Yu, XiangChen Ma, SongTao Gao, YanHong Jiao, and HaiTao Zhang "An improved detection algorithm for massive MIMO system", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 1233105 (10 November 2022); https://doi.org/10.1117/12.2652691

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