Quantum Search-Aided Multi-User Detection for Sparse Code Multiple Access

被引:8
|
作者
Ye, Wenjing [1 ]
Chen, Wei [1 ]
Guo, Xin [2 ]
Sun, Chen [2 ]
Hanzo, Lajos [3 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Sony China Ltd, Sony China Res Lab, Beijing 100028, Peoples R China
[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
来源
IEEE ACCESS | 2019年 / 7卷
基金
英国工程与自然科学研究理事会; 欧洲研究理事会; 北京市自然科学基金;
关键词
Sparse code multiple access; multiuser detection; quantum search algorithm; message passing algorithm; sphere decoder; RECEIVER; DESIGN;
D O I
10.1109/ACCESS.2019.2910776
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:52804 / 52817
页数:14
相关论文
共 50 条
  • [21] Sparse Code Multiple Access over Universal Filtered Multicarrier in Rapidly Time Varying Channels
    Chen, Changju
    Zheng, Jianping
    Si, Fuping
    2021 26TH IEEE ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS {APCC), 2021, : 155 - 160
  • [22] Online Reconfigurable Deep Learning-Aided Multi-User Detection for IoT
    Ye, Neng
    Pan, Jianxiong
    Wang, Xiaojuan
    Wang, Peisen
    Li, Xiangming
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 133 - 137
  • [23] COMPRESSED SENSING K-BEST DETECTION FOR SPARSE MULTI-USER COMMUNICATIONS
    Knoop, B.
    Monsees, F.
    Bockelmann, C.
    Peters-Drolshagen, D.
    Paul, St.
    Dekorsy, A.
    2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2014, : 1726 - 1730
  • [24] Generalized Multi-user Sparse Superposition Transmission for Massive Machine-type Communications
    Hui, Ming
    Zhang, Xuewan
    Guo, Jingjing
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2024, 26 (04) : 433 - 444
  • [25] Sparse Bayesian learning-based massive multi-user detection algorithm
    Chen P.
    Wang X.
    Xie Z.
    Fang Y.
    Chen J.
    Tongxin Xuebao/Journal on Communications, 2023, 44 (10): : 186 - 197
  • [26] A Tutorial on Decoding Techniques of Sparse Code Multiple Access
    Chaturvedi, Saumya
    Liu, Zilong
    Bohara, Vivek Ashok
    Srivastava, Anand
    Xiao, Pei
    IEEE ACCESS, 2022, 10 : 58503 - 58524
  • [27] Compressed Sensing Based Multiuser Detection for Sparse Code Multiple Access
    Durak, Mehmet Hakan
    Ertug, Ozgur
    2019 27TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2019,
  • [28] Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access
    Sivalingam, Thushan
    Ali, Samad
    Mahmood, Nurul Huda
    Rajatheva, Nandana
    Latva-Aho, Matti
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [29] Single-user and multi-user detection performance of synchronous shortwave differential frequency hopping multiple-access systems
    Zhu Y.-C.
    Gan L.-C.
    Xiong J.-Q.
    Guo J.-B.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2010, 32 (01): : 151 - 156
  • [30] Multi-user Detection Based on Quantum Square-root Measurement
    Zhao Sheng-Mei
    Zheng Bao-Yu
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 743 - 746