Grant-Free Uplink Transmission With Multi-Codebook-Based Sparse Code Multiple Access (MC-SCMA)

被引:16
|
作者
Abebe, Ameha Tsegaye [1 ]
Kang, Chung G. [1 ]
机构
[1] Korea Univ, Dept Elect Engn, Seoul 02841, South Korea
关键词
NOMA; Multiuser detection; Channel estimation; Time-frequency analysis; OFDM; Euclidean distance; Data communication; Sparse code multiple access; grant-free access; random access; compressed sensing; preamble transmission; channel estimation; multi-user detection; activity detection; CHALLENGES;
D O I
10.1109/ACCESS.2019.2954492
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In sparse code multiple access (SCMA)-based grant-free (GF) access, both users channel and the selected SCMA codebook (CB) are considered as a transmission signature for multi-user detection (MUD). In conventional SCMA-based grant-free (GF) access where a single codebook (CB) is employed per a users random access transmission, however, random selection of CBs and random fading channel reduce the minimum Euclidean distance among overloaded layers (signatures). This significantly degrades the performance. Furthermore, it is also challenging to reduce the collision rate in the course of selecting random access resources while maintaining low preamble overhead. In this paper, we consider a new approach that maps users consecutive symbols to codewords from the different SCMA CBs in a round-robin manner. It is shown that a combinatorial nature of multiple CBs and the inherent code diversity therein allow to simultaneously reduce collision probability while providing sufficient separation among transmissions, consequently decreasing users activity misdetection rate. It is also shown that the proposed multi-codebook SCMA (MC-SCMA)-based GF access scheme outperforms the conventional single CB-based SCMA version by overloading of more users (almost up to 200) as it allows a large number of highly non-orthogonal preambles to be employed while keeping the same preamble length (overhead). Finally, we conclude that the proposed joint design of non-orthogonal preambles and data transmission based on multiple CBs provides a significant performance improvement for the grant-free access system. It can also readily be extended to other code-based non-orthogonal multiple access (NOMA) schemes.
引用
收藏
页码:169853 / 169864
页数:12
相关论文
共 50 条
  • [31] Dynamic and Sparsity Adaptive Compressed Sensing Based Active User Detection and Channel Estimation of Uplink Grant-Free SCMA
    Durak, Mehmet Hakan
    Ertug, Ozgur
    RADIOENGINEERING, 2021, 30 (03) : 576 - 583
  • [32] Analyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission
    Zhou, Hui
    Deng, Yansha
    Feltrin, Luca
    Hoglund, Andreas
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (04) : 2805 - 2819
  • [33] Deep Learning-Based Blind Multiple User Detection for Grant-Free SCMA and MUSA Systems
    Thushan, Sivalingam
    Ali, Samad
    Mahmood, Nurul Huda
    Rajatheva, Nandana
    Latva-Aho, Matti
    IEEE Transactions on Machine Learning in Communications and Networking, 2023, 1 : 61 - 77
  • [34] Uplink Grant-Free Pattern Division Multiple Access (GF-PDMA) for 5G Radio Access
    Tang, Wanwei
    Kang, Shaoli
    Ren, Bin
    Yue, Xinwei
    CHINA COMMUNICATIONS, 2018, 15 (04) : 153 - 163
  • [36] Uplink Grant-Free Pattern Division Multiple Access (GF-PDMA) for 5G Radio Access
    Wanwei Tang
    Shaoli Kang
    Bin Ren
    Xinwei Yue
    中国通信, 2018, 15 (04) : 153 - 163
  • [37] Joint Time-Frequency Diversity Based Uplink Grant-Free Transmission Scheme for URLLC
    Zhao, Shuyu
    Wang, Yichen
    Xie, Yuncong
    Xu, Dongyang
    2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2019,
  • [38] Contention-based Grant-free Transmission with Extremely Sparse Orthogonal Pilot Scheme
    Yuan, Zhifeng
    Li, Zhigang
    Li, Weimin
    Ma, Yihua
    Liang, Chulong
    2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
  • [39] Multi-User Detection Based on Sparsity Adaptive Matching Pursuit Compressive Sensing for Uplink Grant-free Non-Orthogonal Multiple Access
    Wang Q.
    Fang D.
    Wu G.
    Wu, Guangfu (wugf@cqupt.edu.cn), 1600, Science Press (42): : 2216 - 2222
  • [40] Multi-User Detection Based on Sparsity Adaptive Matching Pursuit Compressive Sensing for Uplink Grant-free Non-Orthogonal Multiple Access
    Wang Qianzhu
    Fang Dong
    Wu Guangfu
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2020, 42 (09) : 2216 - 2222