Low-complexity large MIMO detection via layered belief propagation in beam domain
Takahashi, Takumi; Tölli, Antti; Ibi, Shinsuke; Sampei, Seiichi (2021-07-14)
T. Takahashi, A. Tölli, S. Ibi and S. Sampei, "Low-Complexity Large MIMO Detection via Layered Belief Propagation in Beam Domain," in IEEE Transactions on Wireless Communications, vol. 21, no. 1, pp. 234-249, Jan. 2022, doi: 10.1109/TWC.2021.3094970
© The Author(s) 2021. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
In large multi-user multi-input multi-output systems, the computational cost and circuit scale of base stations (BSs) are effectively reduced using two-stage signal processing consisting of a slow varying outer beamformer (OBF) based on long-term channel statistics and group-specific multi-user detection for instantaneous channel variations. However, the dimensionality reduction of the group-specific beam-domain channel based on the OBF causes significant performance degradation in the subsequent spatial-filtering detection. To compensate for this drawback, this paper introduces a novel layered belief propagation (BP) detector with a concatenated structure of beam- and antenna-domain BP layers for post-stage OBF processing. The proposed detector is designed for improving the convergence of iterative detection by suppressing intra- and inter-group interference in stages. The layered structure provides the advantages of both beam and antenna domains while maintaining low signal-processing complexity. Numerical results show the validity of our proposed method in terms of the bit error rate performance in both the uncoded and coded cases and the computational complexity.
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