Efficient MMSE-PIC Detection for Polar-Coded System Using Tree-Structured Gray Codes

Cheng, Bingyang; Shen, Yulong; Wang, Huizheng; Zhang, Zaichen; You, Xiaohu; Zhang, Chuan

doi:10.1109/lwc.2022.3155470

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The rows w m of W correspond to the MMSE filter vectors in (22). This proof is based on the Sherman-Morrison-Woodbury formula, which is expressed as:…”

Section: Let Shamentioning

confidence: 99%

Low-Complexity MIMO Detection Based on DRSD With ISMMSE-PIC

Shin,

Jae Kim,

Kim

2024

IEEE Access

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This paper introduces a low-complexity multiple-input multiple-output (MIMO) detection method based on dimension-reduction-soft-demodulation (DRSD) with iterative soft minimum-meansquared-error parallel interference cancellation (ISMMSE-PIC). The conventional ISMMSE-PIC detection method exhibits several drawbacks, such as inordinate dependence on decoder performance and modulationorder sensitivity. Therefore, a DRSD-based strategy is presented to search over a part of the set of transmitted symbols for calculating log-likelihood ratio (LLR) values, such as maximum likelihood detection, to improve detection performance. The scheme for the rest of the symbols directly utilizes ISMMSE-PIC detection for computing the corresponding LLR values. The computational complexity of the proposed scheme is similar to that of ISMMSE-PIC, whereas its bit error rate performance is comparatively higher. The complexity analysis and simulation results validate the proposed algorithm.

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“…The rows w m of W correspond to the MMSE filter vectors in (22). This proof is based on the Sherman-Morrison-Woodbury formula, which is expressed as:…”

Section: Let Shamentioning

confidence: 99%

Low-Complexity MIMO Detection Based on DRSD With ISMMSE-PIC

Shin,

Jae Kim,

Kim

2024

IEEE Access

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“…Suboptimal linear detection algorithms including zero forcing (ZF) detection [12], [13] and minimum mean squared error (MMSE) detection [14]- [16] have also been intensively studied for the purpose of complexity reduction in massive MIMO systems. The parallel interference cancellation (PIC) process has been applied to MMSEbased iterative joint detection and decoding (JDD) schemes [17]- [21], which is referred to as MMSE-PIC detection. Numerical analysis technique has also been applied to iterative massive MIMO detection scheme for a complexity reduction [22], [23].…”

Section: Introductionmentioning

confidence: 99%

“…Modified MMSE and matched filter (MF) soft-output detection [45] and the FG-based BP detection with Gaussian approximation of interference (FG-GAI BP) [37], [46], [47] were considered in designing LDPC codes for massive MIMO systems. Iterative soft-input soft-output (SISO) MMSE detectors were proposed to enhance the signal detection of massive MIMO systems [17]- [21]. Protograph LDPC codes [48] and LDPC coded space shift keying were proposed for massive MIMO system with a low-complexity detector [49].…”

Section: Introductionmentioning

confidence: 99%

Design of LDPC Coded Multi-User Massive MIMO Systems With MMSE-Based Iterative Joint Detection and Decoding

Park,

Lee

2023

IEEE Access

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We design a low-density parity-check (LDPC) coded multi-user massive multiple-input multiple-output (MIMO) system to achieve a high error correcting capability with a fast convergence speed of iterative joint detection and decoding (JDD) process employing a low-complexity detection. Minimum mean squared error detection with parallel interference cancellation (MMSE-PIC) and its variations are considered as low-complexity linear detection algorithms. We provide a factor graph representation of LDPC coded multi-user massive MIMO system using JDD algorithm employing MMSE-PIC detection, and we formulate updating rules of messages flowing in the JDD process. We propose a practical and efficient tool for analyzing the extrinsic information transfer (EXIT) characteristics of messages exchanged between detector and decoder, based on which LDPC codes and JDD strategy are jointly designed to result in a low bit error rate (BER) and a fast convergence speed of JDD mechanism. It is observed that the error correcting capability and JDD convergence behavior predicted by the proposed analysis tool match well the actual performances obtained by simulations. It is also observed that LDPC coded multi-user massive MIMO system employing LDPC codes and JDD strategy designed optimally by the proposed EXIT analysis tool achieves a lower BER with a faster convergence speed.INDEX TERMS Coded multi-user massive-MIMO, LDPC codes, joint detection and decoding, MMSE-PIC, EXIT analysis.

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