SCMA Codebook Design Based on Uniquely Decomposable Constellation Groups

被引:19
|
作者
Zhang, Xuewan [1 ]
Zhang, Dalong [1 ]
Yang, Liuqing [2 ]
Han, Gangtao [1 ]
Chen, Hsiao-Hwa [3 ]
Zhang, Di [1 ]
机构
[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
[2] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[3] Natl Cheng Kung Univ, Dept Engn Sci, Tainan 701, Taiwan
基金
美国国家科学基金会;
关键词
Sparse code multiple access (SCMA); non-orthogonal multiple access (NOMA); codebook design; uniquely decomposable constellation group (UDCG); NONORTHOGONAL MULTIPLE-ACCESS; MESSAGE-PASSING RECEIVER; LOW-COMPLEXITY; OPTIMIZATION; EFFICIENCY;
D O I
10.1109/TWC.2021.3062613
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Sparse code multiple access (SCMA), which helps improve spectrum efficiency (SE) and enhance connectivity, has been proposed as a non-orthogonal multiple access (NOMA) scheme for 5G systems. In SCMA, codebook design determines system overload ratio and detection performance at a receiver. In this paper, an SCMA codebook design approach is proposed based on uniquely decomposable constellation group (UDCG). We show that there are N + 1 (N >= 1) constellations in the proposed UDCG, each of which has M(M >= 2) constellation points. These constellations are allocated to users sharing the same resource. Combining the constellations allocated on multiple resources of each user, we can obtain UDCG-based codebook sets. Bit error ratio (BER) performance will be discussed in terms of coding gain maximization with superimposed constellations and UDCG-based codebooks. Simulation results demonstrate that the superimposed constellation of each resource has large minimum Euclidean distance (MED) and meets uniquely decodable constraint. Thus, BER performance of the proposed codebook design approach outperforms that of the existing codebook design schemes in both uncoded and coded SCMA systems, especially for large-size codebooks.
引用
收藏
页码:4828 / 4842
页数:15
相关论文
共 50 条
  • [41] Low-Complexity Codebook Design for SCMA-Based Visible Light Communication
    Chaturvedi, Saumya
    Anwar, Dil Nashin
    Bohara, Vivek Ashok
    Srivastava, Anand
    Liu, Zilong
    [J]. IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2022, 3 : 106 - 118
  • [42] An Efficient SCMA Codebook Design Based on Lattice Theory for Information-Centric IoT
    Zhang, Xuewan
    Han, Gangtao
    Zhang, Dalong
    Zhang, Di
    Yang, Liuqing
    [J]. IEEE ACCESS, 2019, 7 : 133865 - 133875
  • [43] Multidimensional Constellation Design for Spatial Modulated SCMA Systems
    Hu Yaoyue
    Pan Zhiwen
    Liu Nan
    You Xiaohu
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) : 8795 - 8810
  • [44] Adaptive Codebook Design and Assignment for Energy Saving in SCMA Networks
    Zhai, Daosen
    [J]. IEEE ACCESS, 2017, 5 : 23550 - 23562
  • [45] Joint uplink SCMA codebook design for correlated fading channels
    Hasan, Shah Mahdi
    Mahata, Kaushik
    Hyder, Mashud
    [J]. PHYSICAL COMMUNICATION, 2020, 39
  • [46] Design of Codebook for Non-Binary Polar Coded SCMA
    Han, Changhao
    Zhao, Hui
    Jiang, Xiangpin
    [J]. 2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [47] Structured Random Codebook Design for GaBP Iterative Detection in Massive SCMA
    Inagaki, Keisuke
    Takahashi, Takumi
    Ibi, Shinsuke
    Sampei, Seiichi
    [J]. 2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2018,
  • [48] A Novel Multitask Learning Empowered Codebook Design for Downlink SCMA Networks
    Luo, Qu
    Liu, Zilong
    Chen, Gaojie
    Ma, Yi
    Xiao, Pei
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (06) : 1268 - 1272
  • [49] An Uplink SCMA Codebook Design Combining Probabilistic Shaping and Geometric Shaping
    Jiang, Chengxin
    Wang, Yafeng
    [J]. IEEE ACCESS, 2020, 8 : 76726 - 76736
  • [50] A Joint Design of SCMA Codebook and PTS-Based PAPR Reduction for Downlink OFDM Scheme
    Chen, Yen-Ming
    Wang, Pao-Hung
    Cheng, Chia-Sheng
    Ueng, Yeong-Luh
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (11) : 11936 - 11948