Iterative Receiver Design for Polar-Coded SCMA Systems

Xiang, Luping; Liu, Yusha; Xu, Chao; Maunder, Robert G.; Hanzo, Lajos

doi:10.1109/tcomm.2021.3068733

Cited by 17 publications

(13 citation statements)

References 52 publications

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“…In the DS-off phase, the density L t ( ) can be numerically computed by (27), whilst in the DS-on phase, L t ( ) is determined by (37). Let us consider the iterative JD which has t off iterations for the DS-off phase, and DS is turned on at iteration t off + 1.…”

Section: Density Evolution Of the Iterative Jdmentioning

confidence: 99%

“…Let us consider the iterative JD which has t off iterations for the DS-off phase, and DS is turned on at iteration t off + 1. In this case, each entry of L t ( ; x) is computed according to (27) for t ≤ t off + 1. Then, for t > t off + 1, L t ( ; x) is obtained as In Fig.…”

Section: Density Evolution Of the Iterative Jdmentioning

confidence: 99%

“…Owning to their bipartite graph (BG) representation, LDPC codes were intelligently constructed to match with the MUD by using the extrinsic-information-transform (EXIT) chart analysis [9], [25], [26]. Moreover, moderate-to-long polar codes and successive cancellation list decoding (SCL) were also investigated in [15], [27] to be concatenated with MUD. Apart from the large block-length scenario, [28] studied the optimal rate and power allocation for short-packet NOMA.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA

Yue¹,

Shirvanimoghaddam²,

Kosasih³

et al. 2021

Preprint

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In this paper, we develop a density evolution (DE) framework for analyzing the iterative joint decoding (JD) for non-orthogonal multiple access (NOMA) systems, where the ordered-statistics decoding (OSD) is applied to decode short block codes. We first investigate the density-transform feature of the soft-output OSD (SOSD), by deriving the density of the extrinsic log-likelihood ratio (LLR) with known densities of the priori LLR. Then, we represent the OSD-based JD by bipartite graphs (BGs), and develop the DE framework by characterizing the density-transform features of nodes over the BG. Numerical examples show that the proposed DE framework accurately tracks the evolution of LLRs during the iterative decoding, especially at moderate-to-high SNRs. Based on the DE framework, we further analyze the BER performance of the OSD-based JD, and the convergence points of the two-user and equal-power systems.

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Section: Density Evolution Of the Iterative Jdmentioning

confidence: 99%

Section: Density Evolution Of the Iterative Jdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA

Yue¹,

Shirvanimoghaddam²,

Kosasih³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In contrast, an alternative JDD scheme amalgamates the soft-input hard-output (SIHO) polar decoder with the SCMA detector [17]- [23]. To be more specific, a sequential user partition based JDD receiver was proposed in [17], [18] with limited receiver performance due to the feedback of hard outputs.…”

mentioning

confidence: 99%

“…Furthermore, a JIDD employing an SClist (SCL) decoder was presented in [20], [21], which shows a better BER performance by designing the SCL decoder's extrinsic messages for turbo iteration. A joint channel estimation and decoding scheme was also proposed for fading channels [22], [23].…”

mentioning

confidence: 99%

An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme

Li¹,

Cai²,

Jin³

et al. 2021

Preprint

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The joint transmission scheme of polar codes and sparse code multiple access (SCMA) has been regarded as a promising technology for future wireless communication systems. However, most of the existing polar-coded SCMA (PC-SCMA) systems suffer from high latency caused by the feedback iteration and list decoding. In addition, the error performance of PC-SCMA systems is unsatisfactory for ultra-reliable transmission. Inspired by the compelling benefits of non-binary polar codes, in this paper, we design a non-binary polar-coded SCMA (NB-PC-SCMA) system with a free order matching strategy to address the issues of delay and reliability. Specifically, we first formulate a joint factor graph for NB-PC-SCMA and propose a non-binary successive cancellation list (NB-SCL) and damping based joint iterative detection and decoding (NSD-JIDD) multiuser receiver to improve the BER and latency performance. Then, a lazy-search based NB-SCL (L-NB-SCL) decoding is proposed to reduce the computational complexity by modifying the path search pattern of the list decoder. After that, we optimize the update of user nodes for SCMA detection to improve the convergence error and finally propose the optimized NSD-JIDD (OSD-JIDD) algorithm, which can avoid redundant operations by exploiting L-NB-SCL decoding. Simulation results show that the proposed NB-PC-SCMA system achieves better bit error rate (BER) performance and considerable latency gain when compared to its counterparts. In particular, the proposed OSD-JIDD can achieve similar BER performance of NSD-JIDD with less complexity.

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Robust security model utilizing 4D hyper-digital chaotic sequence for joint-polar coding and SCMA scheme-based IoT applications

Muhammed,

Al-Maqdici

2024

Eng. Res. Express

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The rapid growth of Internet of Things (IoT) devices, driven by the emergence of 5G technology, necessitates faster and more secure connections for real-time data transfer. To address this, a combined approach called JPC-SCMA, which involves integrating Polar Code (PC) with sparse code multiple access (SCMA), is proposed to ensure efficient and reliable communication while minimizing errors. PC enhance hardware efficiency and throughput in 5G networks, serving as effective channel coding. SCMA enables users to decode shared resource communications, but this method introduces security concerns, especially for untrusted users. This study introduces a novel security technique for JPC-SCMA in IoT systems. It employs lightweight cipher-based security methods and a 4D-hyperdigital chaotic key generator to create necessary key sets. Simulation results confirm the effectiveness of the proposed secure system, achieving zero Bit Error Rate (BER) at SNR=9 with a small SNR penalty (1.5 dB at 10-4 BER) compared to the less secure system. The security model generates a robust key space (~10220 bits), thwarting exhaustive attacks. Model efficiency is validated through metrics such as Entropy, Similarity, correlation, Number of Pixel Changes Rate, and stands for Unified Average Change Intensity, especially when transmitting multiple digital images.

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Iterative Receiver Design for Polar-Coded SCMA Systems

Cited by 17 publications

References 52 publications

Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA

Density Evolution Analysis of the Iterative Joint Ordered-Statistics Decoding for NOMA

An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme

Robust security model utilizing 4D hyper-digital chaotic sequence for joint-polar coding and SCMA scheme-based IoT applications

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