Joint Sparse Graph for FBMC/OQAM Systems

被引:5
|
作者
Wen, Lei [1 ,2 ]
Xiao, Pei [1 ]
Razavi, Razieh [1 ]
Imran, Muhammad Ali [3 ]
Al-Imari, Mohammed [1 ]
Maaref, Amine [4 ]
Lei, Jing [2 ]
机构
[1] Univ Surrey, Innovat Ctr 5G, Guildford GU2 7XH, Surrey, England
[2] Natl Univ Def Technol, Coll Elect Sci, Changsha 410073, Hunan, Peoples R China
[3] Univ Glasgow, Glasgow Coll UESTC, Glasgow G12 8QQ, Lanark, Scotland
[4] Huawei Technol, Kanata, ON K2K 3J1, Canada
基金
湖南省自然科学基金; 中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词
FBMC; joint sparse graph; joint detection and decoding; multicarrier system; LOW-DENSITY SIGNATURE; CHANNEL ESTIMATION; MULTIPLE-ACCESS; OFDM SYSTEM; CODES; DESIGN; PERFORMANCE;
D O I
10.1109/TVT.2018.2810638
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
As an advanced nonorthogonal multiple access (NOMA) technique, the low density signature (LDS) has never been used in filter bank multicarrier (FBMC) systems. In this paper, we model a low density weight matrix (LDWM) to utilize the intrinsic interference in FBMC systems when single-tap equalization is employed, and propose a LDS-FBMC scheme which applies LDS to FBMC signals. In addition, a joint sparse graph (JSG) for FBMC named JSG-FBMC is proposed to combine single graphs of LDS, LDWM, and low density parity-check (LDPC) codes which respectively represent techniques of NOMA, multicarrier modulation, and channel coding. By employing the message passing algorithm, a joint receiver performing detection and decoding simultaneously on the joint sparse graph is designed. Extrinsic information transfer charts and construction guidelines of the joint sparse graph are studied. Simulations show the superiority of JSG-FBMC to state-of-the-art techniques such as OFDM, FBMC, LDS-OFDM, LDS-FBMC, and turbostructured LDS-FBMC.
引用
收藏
页码:6098 / 6112
页数:15
相关论文
共 50 条
  • [1] Blind Joint CFO and STO Estimation for FBMC/OQAM Systems
    Rebouh, Dahmane
    Djebbar, Ahmed Bouzidi
    Besseghier, Mokhtar
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (09) : 2422 - 2426
  • [2] Joint Symbol Timing and Channel Estimation for FBMC-OQAM Systems
    Li, Liming
    Ding, Liqin
    Wang, Yang
    Wu, Peng
    Zhang, Jiliang
    IEEE ACCESS, 2019, 7 : 131326 - 131337
  • [3] Channel Estimation Performance of OQAM/FBMC and QAM/FBMC Systems
    Cho, Yong-Ho
    Kim, Chanhong
    Kim, Kyeongyeon
    Yun, Yeo Hun
    Ho, Zuleita
    Seol, Ji-Yun
    2015 12TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2015,
  • [4] Joint CFO and highly frequency selective channel estimation in FBMC/OQAM systems
    Besseghier, Mokhtar
    Djebbar, Ahmed Bouzidi
    Kofidis, Eleftherios
    DIGITAL SIGNAL PROCESSING, 2022, 128
  • [5] Capacity Analysis of FBMC-OQAM Systems
    RezazadehReyhani, Ahmad
    Farhang-Boroujeny, Behrouz
    IEEE COMMUNICATIONS LETTERS, 2017, 21 (05) : 999 - 1002
  • [6] COORDINATED BEAMFORMING IN MIMO FBMC/OQAM SYSTEMS
    Cheng, Yao
    Li, Peng
    Haardt, Martin
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [7] Experimental Demonstration of a Sparse-FFT Based Quick Synchronization Method for FBMC/OQAM Systems
    Xiang, Yating
    Tang, Ming
    Chen, Xi
    Wu, Qiong
    Zhou, Huibin
    Fu, Songnian
    Liu, Deming
    2019 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2019,
  • [8] Receivers for VBLAST FBMC-OQAM Systems
    Singh, Prem
    Rani, Bagadi Usha
    Budhiraja, Rohit
    Vasudevan, K.
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (04) : 767 - 771
  • [9] Synchronization Sequence Design for FBMC/OQAM Systems
    Chung, Wonsuk
    Kim, Chanhong
    Choi, Sooyong
    Hong, Daesik
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (10) : 7199 - 7211
  • [10] Sparse PTS scheme based on TR schemes for PAPR reduction in FBMC-OQAM systems
    Ren, Shuang
    Deng, Honggui
    Qian, Xuewen
    Liu, Yan
    IET COMMUNICATIONS, 2018, 12 (14) : 1722 - 1727