Optimization of Non-Binary LDPC Coded Massive MIMO Systems With Partial Mapping and REP Detection

Liu, Qingqing; Feng, Zhijie; Xu, Jin; Zhang, Zhe; Liu, Weihua; Ding, Heng

doi:10.1109/access.2022.3147273

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…In iterative systems with optimal components, the sum-product algorithm tells us one should pass extrinsic information between system components. However, in systems with sub-optimal building blocks, the most suitable soft information to exchange within the system remains an open problem; however, other schemes, such as passing a-posteriori probability (APP) information, have been demonstrated and can yield better results [20,21]. This work considers a coded multiuser receiver that utilizes a (suboptimal) parallel interference cancellation (PIC) component for its MUD stage.…”

Section: Introductionmentioning

confidence: 99%

Performance of Iterative Coded CDMA Receivers with APP Feedback: A Use of a Weighted Delay Filter

Altalbe

Tahir

2023

Applied Sciences

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The prohibitive computational complexity of optimal coded multiuser detection necessitates using suboptimal detectors in practical implementations. The filter is very computationally simple and is also demonstrated to provide faster convergence and superior bit error rate (BER) performance. Further investigation of the weighted delay filter concept produces a second filter—derived via the joint likelihood function. It is analytically demonstrated that extrinsic feedback systems will not benefit from weighted delay filtering. A system model is provided that introduces the notion of feedback ‘residue’, which is shown to be the key difference between a-posterior probability (APP) and extrinsic systems when determining the parallel interference cancellation (PIC) output statistics. It is analytically shown that the weighted delay filter derived via a maximum signal-to-noise ratio (SNR) approach is identical to a weighted delay filter derived via the joint likelihood function. It is analytically shown that when extrinsic feedback is used in a coded-code division multiple access (C-CDMA) system, no benefit will be realised by weighted delay filtering, as soft outputs from previous cycles are a merely scaled, noisy version of the most recent data. The notion of a ‘feedback residue’ for systems with APP feedback is introduced, and it is empirically shown that this residue term is a key consideration when determining the PIC output statistics. Using the ‘residual feedback’ model, it is shown that when APP feedback is utilised, data from previous cycles is not simply “a scaled, noisy version” of the current data. For this reason, benefits may be realised by APP feedback use. The simulation results shows that the residue may be trivial at small loads, the residue builds to the substantial value of nearly 0.4 at a reasonably modest load of K/N=15/10, and continues to grow as the load increases.

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Section: Introductionmentioning

confidence: 99%

Performance of Iterative Coded CDMA Receivers with APP Feedback: A Use of a Weighted Delay Filter

Altalbe

Tahir

2023

Applied Sciences

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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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Optimization of LDPC coded PDMA systems with adaptive overload

Ding,

Jin,

Zeng

et al. 2024

2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP)

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Optimization of Non-Binary LDPC Coded Massive MIMO Systems With Partial Mapping and REP Detection

Cited by 4 publications

References 44 publications

Performance of Iterative Coded CDMA Receivers with APP Feedback: A Use of a Weighted Delay Filter

Performance of Iterative Coded CDMA Receivers with APP Feedback: A Use of a Weighted Delay Filter

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

Optimization of LDPC coded PDMA systems with adaptive overload

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