The Journal of China Universities of Posts and Telecommunications ›› 2020, Vol. 27 ›› Issue (6): 8-16.doi: 10.19682/j.cnki.1005-8885.2020.0042

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Channel puncturing based low-complexity belief propagation detection for multi-user MIMO systems


  • Received:2020-04-17 Revised:2020-11-25 Online:2020-12-31 Published:2020-12-31
  • Supported by:
    National Natural Science Foundation of China


A low complexity punctured belief propagation ( BP) detection utilizing channel puncturing for multi-user
multiple-input multiple-output (MU-MIMO) systems is proposed in this paper. This paper constructs a cycle-free fator graph by puncturing certain non-zero entries in a transformed channel matrix, and proposes an adjusted BP algorithm with a more exact a posteriori message updating equation. The proposed algorithm converges rapidly in several iterations due to the cycle-free structure in the factor graph. Nevertheless, puncturing brings distorted noise and thus leads to performance degradation. To tackle this issue, this article further designs a layered detection with the help of maximum likelihood detector ( MLD). Simulations demonstrate that the proposed detection algorithm achieves the identical performance to MLD with much lower complexity.

Key words: MU-MIMO, rich scattering wireless environment, BP, layered detection algorithm