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Deep Learning-Based Collision-Aware Multi-User Detection for Channel-Modulated codebooks in Grant-Free sparse code multiple access Systems

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IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2025年第2期11卷 1146-1160页

作者： Han, Minsig Gemeda, Metasebia D. Abebe, Ameha T. Kang, Chung G. Samsung Elect Samsung Res Seoul 06762 South Korea Korea Univ Sch Elect Engn Seoul 136701 South Korea

In grant-free sparse code multiple access (SCMA) systems, each active user transmits data using randomly selected SCMA codebook along with its associated preamble. When multiple users select the same codebook, i.e., leading to codebook collisions, the detection of channel-modulated codebooks is still possible through collision-aware multi-user detection (CA-MUD) using their associated preambles. However, traditional CA-MUDs are designed with unique configurations tailored to each of the extensive codebook activity scenarios, thereby significantly enhancing the detection complexity and limiting the practical implementation of GF-SCMA systems. In this paper, our objective is to propose a deep learning (DL)-based CA-MUD capable of efficiently handling diverse codebook activities with a single detector, even in the presence of codebook collisions. Toward this end, we propose a multi-task learning-based DL architecture for CA-MUD that can tolerate codebook collisions, without resorting to distinct CA-MUD processes for individual collision scenarios. A key innovation in our approach is an input pre-processing method for efficient CA-MUD training that generates a channel-modulated codebook vector at the receiving end, enhancing the learning process. Simulation results demonstrate that our proposed approach enables a single CA-MUD network to manage various codebook activity scenarios, including 2-fold codebook collision, within a limited number of active users, while ensuring robustness against channel estimation errors.

关键词： Multiuser detection Vectors Complexity theory Uplink Training NOMA Detectors Grant-free random access sparse code multiple access collision-aware multi-user detection deep learning codebook collision

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sparse code multiple access Assisted Resource Allocation for 5G V2X Communications

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IEEE TRANSACTIONS ON COMMUNICATIONS 2022年第10期70卷 6661-6677页

作者： Shi, Zhenjiang Liu, Jiajia Xidian Univ Sch Cyber Engn State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Northwestern Polytech Univ Natl Engn Lab Integrated Aerosp Ground Ocean Big Xian 710072 Shaanxi Peoples R China

In 5G vehicle-to-everything (V2X) systems, the scarcity of spectrum resources and the inefficiency of resource allocation make vehicle-to-vehicle (V2V) communications that require stringent latency and high reliability still a challenge. Existing relevant literatures either focus on vehicle-to-infrastructure (V2I) communications, or consider scenarios where the vehicle roles (transmitter or receiver) are fixed in V2V communications, or study the resource allocation within a single cell. What's more, considering the high-speed movement of vehicles across the coverage regions of multiple cells, the above resource allocation problem becomes even more challenging. Toward this end, we consider in this paper a multi-cell 5G V2X system where V2V links and V2I links coexist and the vehicle roles are not fixed, and propose a sparse code multiple access-based centralized resource allocation scheme, so as to address the above challenges. In view of the fact that our formulated maximizing packet reception ratio problem is a combinatorial optimization problem and is NP-hard, we design a three-stage heuristic yet joint alternating optimization approach to obtain a suboptimal solution. Extensive numerical results demonstrate the superior performances of the proposed scheme in multiple perspectives.

关键词： Resource management Vehicular ad hoc networks Vehicle-to-infrastructure Optimization Entertainment industry NOMA Safety 5G vehicle-to-everything communications sparse code multiple access centralized resource allocation

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sparse code multiple access Over Universal Filtered Multicarrier

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2021年第10期70卷 10335-10346页

作者： Chen, Changju Zheng, Jianping Si, Fuping Xidian Univ Sch Telecommun Engn State Key Lab Integrated Serv Network Xian 710071 Shaanxi Peoples R China

In this paper, the uplink sparse code multiple access over universal filtered multicarrier (SCMA-UFMC) is studied. In SCMA-UFMC, each sub-band of UFMC is occupied by multiple users through SCMA. Note that the even-component of frequency domain (FD) received signal suffers from neither inter-sub-band interference nor inter-sub-carrier interference while the odd-component suffers from both. The message passing algorithm (MPA) is first employed to perform multiuser detection by utilizing only the even-component. Next, to improve the performance, the odd-component is further utilized. In this improvement, reliable estimates obtained by MPA over even-component are reconstructed and cancelled from odd-component, and then only a very small number of most-unreliable user data are refined by maximum likelihood method. Moreover, the union bound of the average symbol error probability (ASEP) of maximum likelihood detection using only even-component is derived, from which it is shown that ASEP is sub-band-independent. Finally, simulation results are given to demonstrate the performance of the proposed scheme and the effectiveness of the analytical ASEP result.

关键词： Multiuser detection Receiving antennas Interference Covariance matrices OFDM Maximum likelihood estimation Maximum likelihood detection sparse code multiple access universal filtered multicarrier message propagation algorithm union bound multiuser detection

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sparse code multiple access over Universal Filtered Multicarrier in Rapidly Time Varying Channels 26

Sparse Code Multiple Access over Universal Filtered Multicar...

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26th IEEE Asia-Pacific Conference on Communications {APCC)

作者： Chen, Changju Zheng, Jianping Si, Fuping Xidian Univ Sch Telecommun Engn State Key Lab Integrated Serv Network Xian 710071 Shaanxi Peoples R China

ISBN: (纸本)9781728172545

In this paper, the uplink sparse code multiple access over universal filtered multicarrier (SCMA-UFMC) in rapidly time varying channels is studied. In SCMA-UFMC, each sub-band of UFMC is occupied by multiple users through SCMA. It is observed that the inter-band-interference can be neglected and both the inter-carrier interference and inter-user-interference are small from the equivalent frequency-domain (FD) channel of even component of received signal. Based on this observation, message passing algorithm is first employed to perform multiuser detection (MUD) by utilizing only even-component of received signal. Next, to improve the performance, a two-stage detection is further presented, where the unreliable estimates from the first-stage detection using even-component are refined by utilizing additional odd component of received signal. Finally, simulation results are given to demonstrate the performance of the proposed methods.

关键词： sparse code multiple access universal filtered multicarrier message propagation algorithm rapidly time varying channel multiuser detection

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sparse code multiple access with Index Modulation

Sparse Code Multiple Access with Index Modulation

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Zuo, Chen Zheng, Jianping Xidian Univ Collaborat Innovat Ctr Informat Sensing & Underst Sch Telecommun Engn Xian Peoples R China

ISBN: (纸本)9781728173276

In this paper, we study the application of index modulation (IM) to uplink sparse code multiple access (SCMA), and present a scheme called SCMA-IM. In the proposed SCMA-IM, the candidate resources of one user are partitioned into two groups. All the resources in the first group are utilized to transmit signals, and only part of resources in the second are activated through IM to transmit signals. The signals transmitted in these resources are jointly designed according to the same codebook design method as SCMA. Moreover, an effective message passing algorithm is presented to perform the multiuser detection. Simulation results show that the proposed SCMA-IM can achieve better performance than conventional SCMA when the number of receive antenna is large.

关键词： sparse code multiple access index modulation message propagation algorithm multiple-antenna system

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A Progressive codebook Optimization Scheme for sparse code multiple access in Downlink Channels

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第9期73卷 13038-13046页

作者： Lei, Tuofeng Ni, Shuyan Luo, Qu Chen, Shimiao Song, Xin Xiao, Pei Space Engn Univ Beijing 101416 Peoples R China Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 610054 Peoples R China Acad Mil Sci Beijing 100071 Peoples R China Xidian Univ State Key Lab ISN Xian 710071 Peoples R China

sparse code multiple access (SCMA) is a promising technique for enabling massive connectivity and high spectrum efficiency in future machine-type communication networks. However, its performance crucially depends on well-designed multi-dimensional codebooks. In this paper, we propose a novel progressive codebook optimization scheme that can achieve near-optimal performance over downlink fading channels. By examining the pair-wise error probability (PEP), we first derive the symbol error rate (SER) performance of the sparse codebook in downlink channels, which is considered as the design criterion for codebook optimization. Then, the benchmark constellation group at a single resource element is optimized with a sequential quadratic programming approach. Next, we propose a constellation group reconstruction process to assign the sub-constellations in each resource element (RE) progressively. For the current RE, the assignment of the sub-constellations is designed by minimizing the error performance of the product distance of the superimposed codewords in previous REs. The design process involves both permutation and labeling of the sub-constellations in the benchmark constellation group. Simulation results show that the proposed codebooks exhibit significant performance gains over state-of-the-art codebooks in the low signal-to-noise ratio (SNR) region over various downlink fading channels.

关键词： Fading channels Downlink Benchmark testing Signal to noise ratio Optimization NOMA Error analysis sparse code multiple access symbol error rate codebook design progressive codebook optimization

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Quantum Search-Aided Multi-User Detection for sparse code multiple access

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IEEE access 2019年 7卷 52804-52817页

作者： Ye, Wenjing Chen, Wei Guo, Xin Sun, Chen Hanzo, Lajos Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Sony China Ltd Sony China Res Lab Beijing 100028 Peoples R China Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

With the explosive proliferation of mobile devices, the scarcity of communication resources has emerged as a critical issue in the next generation (NG) communication systems. To overcome this, non-orthogonal multiple access (NOMA) has been shown to provide a beneficial spectral effi ciency gain, while supporting massive connectivity. sparse code multiple access (SCMA) is one of the NOMA schemes, but its application is hampered by its high-complexity multi-user detection. Fortunately, quantum search techniques were shown to substantially reduce the complexity of multi-user detectors (MUD). However, the quantum search-aided multiuser detection of SCMA is an open problem at the time of writing. Hence, we conceive a pair of quantum search-aided MUDs for SCMA, namely, a quantum-assisted message passing algorithm (Q-MPA)-based MUD and a quantum-assisted sphere decoder-based MPA (QSD-MPA) MUD.

关键词： sparse code multiple access multiuser detection quantum search algorithm message passing algorithm sphere decoder

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Next-Generation Passive Optical Network Based on sparse code multiple access and Graph Neural Networks

IEEE PHOTONICS JOURNAL

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IEEE PHOTONICS JOURNAL 2022年第1期14卷

作者： Yang, Hui Zhang, Xianzhuo Lin, Bangjiang Deng, Pengcheng Yi, Anlin Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 610031 Peoples R China Chinese Acad Sci Quanzhou Inst Equipment Mfg Haixi Inst Quanzhou 362200 Peoples R China

sparse code multiple access (SCMA) is a promising technology to provide high throughput and overall improved system performance at affordable cost for next-generation passive optical networks (NG-PONs). Message passing algorithm (MPA) based on a factor graph is usually used for low-complexity multi-user detection in SCMA. However, MPA requires accurate and effective channel estimation due to the interference between the user's signals on the same resource block and suffers uncertain convergence caused by the cycles in the factor graph. In this paper, a graph neural networks (GNN)-based detection method is proposed for SCMA-PON, which performs channel impairment compensation and signal detection in a joint manner. 25.5 Gb/s SCMA-OFDM system over 20/60 km single mode fiber link is simulated to demonstrate the feasibility with 8.5-G class optical devices. The simulation results show that GNN-based detection method outperforms MPA and is more robust to the nonlinear distortion for the same level of computational complexity.

关键词： Optical network units Passive optical networks Optical distortion codes Nonlinear distortion Fiber nonlinear optics Next generation networking Passive optical network non-orthogonal multiple access sparse code multiple access graph neural network

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Iterative Receiver Design for FTN Signaling Aided sparse code multiple access

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2020年第2期19卷 915-928页

作者： Yuan, Weijie Wu, Nan Zhang, Andrew Huang, Xiaojing Li, Yonghui Hanzo, Lajos Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Univ Technol Sydney Fac Engn & Informat Technol Ultimo NSW 2007 Australia Univ Sydney Ctr Excellence Telecommun Sch Elect & Informat Engn Camperdown NSW 2006 Australia Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

The sparse code multiple access (SCMA) is a promising candidate for bandwidth-efficient next generation wireless communications, since it can support more users than the number of resource elements. On the same note, faster-than-Nyquist (FTN) signaling can also be used to improve the spectral efficiency. Hence in this paper, we consider a combined uplink FTN-SCMA system in which the data symbols corresponding to a user are further packed using FTN signaling. As a result, a higher spectral efficiency is achieved at the cost of introducing intentional inter-symbol interference (ISI). To perform joint channel estimation and detection, we design a low complexity iterative receiver based on the factor graph framework. In addition, to reduce the signaling overhead and transmission latency of our SCMA system, we intrinsically amalgamate it with grant-free scheme. Consequently, the active and inactive users should be distinguished. To address this problem, we extend the aforementioned receiver and develop a new algorithm for jointly estimating the channel state information, detecting the user activity and for performs data detection. In order to further reduce the complexity, an energy minimization based approximation is employed for restricting the user state to Gaussian. Finally, a hybrid message passing algorithm is conceived. Our Simulation results show that the FTN-SCMA system relying on the proposed receiver design has a higher throughput than conventional SCMA scheme at a negligible performance loss.

关键词： Channel estimation Receivers Complexity theory Message passing Approximation algorithms Decoding Wireless communication sparse code multiple access faster-than-Nyquist signaling grant-free channel estimation hybrid message passing high spectral efficiency

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A Low Complexity sparse code multiple access Detector Based on Stochastic Computing

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2018年第2期65卷 769-782页

作者： Han, Kaining Hu, Jianhao Chen, Jienan Lu, Hao Univ Elect Sci & Technol China Natl Key Lab Commun Chengdu 611731 Sichuan Peoples R China

sparse code multiple access (SCMA) is a promising multiple access technology candidate for the next-generation communication system, which can dramatically improve spectral efficiency. However, the major challenge of SCMA is the very high detection complexity. Stochastic computing is a new number representation, which can carry out complex computations with very simple logics. In this paper, we extend the application of stochastic computing to SCMA detection and propose a low complexity stochastic SCMA detector. We also design three novel stochastic logic architectures: a new low hardware cost bit stream generation architecture, a low hardware cost stochastic function node update architecture and a fast converging stochastic variable node update architecture. Analysis and simulation results show that the proposed stochastic SCMA detector saves 69% complexity compared with the traditional SCMA detectors with a comparable bit error rate performance. The synthesis results with SIMC 65-nm CMOS technology show that the proposed stochastic SCMA detector achieves 640 Mbps total system throughput with only 1.45-mm(2) cell area.

关键词： Stochastic computing sparse code multiple access

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