Belief-selective Propagation Detection for MIMO Systems
Wenyue Zhou, Yifei Shen, Liping Li, Yongming Huang, Chuan Zhang,, Xiaohu You

TL;DR
This paper introduces a belief-selective propagation (BsP) detector for MIMO systems that reduces complexity and mitigates error floors by selectively using trusted messages, achieving significant performance gains over traditional BP detectors.
Contribution
The paper proposes a novel BsP detector with symbol-based truncation and edge-based simplification strategies, significantly lowering complexity and improving high-SNR performance in MIMO detection.
Findings
Achieves over 4 dB performance gain at BER=10^{-4} in 16-QAM 8x4 MIMO.
Reduces complexity by approximately 4 orders compared to original BP.
Effectively alleviates error floor issues across various antenna and modulation configurations.
Abstract
Compared to the linear MIMO detectors, the Belief Propagation (BP) detector has shown greater capabilities in achieving near optimal performance and better nature to iteratively cooperate with channel decoders. Aiming at real applications, recent works mainly fall into the category of reducing the complexity by simplified calculations, at the expense of performance sacrifice. However, the complexity is still unsatisfactory with exponentially increasing complexity or required exponentiation operations. Furthermore, due to the inherent loopy structure, the existing BP detectors persistently encounter error floor in high signal-to-noise ratio (SNR) region, which becomes even worse with calculation approximation. This work aims at a revised BP detector, named {Belief-selective Propagation (BsP)} detector by selectively utilizing the \emph{trusted} incoming messages with sufficiently large…
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Taxonomy
TopicsCooperative Communication and Network Coding · Wireless Communication Security Techniques · Error Correcting Code Techniques
