Capacity limit for faster-than-Nyquist non-orthogonal frequency-division multiplexing signaling

被引:0
|
作者
Ji Zhou
Yaojun Qiao
Zhanyu Yang
Qixiang Cheng
Qi Wang
Mengqi Guo
Xizi Tang
机构
[1] Beijing University of Posts and Telecommunications (BUPT),State Key Laboratory of Information Photonics and Optical Communications, School of Information and Communication Engineering
[2] Columbia University,Department of Electrical Engineering
[3] University of Virginia,Department of Electrical and Computer Engineering
[4] University of Southampton,School of Electronics and Computer Science
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Faster-than-Nyquist (FTN) signal achieves higher spectral efficiency and capacity compared to Nyquist signal due to its smaller pulse interval or narrower subcarrier spacing. Shannon limit typically defines the upper-limit capacity of Nyquist signal. To the best of our knowledge, the mathematical expression for the capacity limit of FTN non-orthogonal frequency-division multiplexing (NOFDM) signal is first demonstrated in this paper. The mathematical expression shows that FTN NOFDM signal has the potential to achieve a higher capacity limit compared to Nyquist signal. In this paper, we demonstrate the principle of FTN NOFDM by taking fractional cosine transform-based NOFDM (FrCT-NOFDM) for instance. FrCT-NOFDM is first proposed and implemented by both simulation and experiment. When the bandwidth compression factor α is set to 0.8 in FrCT-NOFDM, the subcarrier spacing is equal to 40% of the symbol rate per subcarrier, thus the transmission rate is about 25% faster than Nyquist rate. FTN NOFDM with higher capacity would be promising in the future communication systems, especially in the bandwidth-limited applications.
引用
收藏
相关论文
共 50 条
  • [1] Capacity limit for faster-than-Nyquist non-orthogonal frequency-division multiplexing signaling
    Zhou, Ji
    Qiao, Yaojun
    Yang, Zhanyu
    Cheng, Qixiang
    Wang, Qi
    Guo, Mengqi
    Tang, Xizi
    SCIENTIFIC REPORTS, 2017, 7
  • [2] Faster-Than-Nyquist Non-Orthogonal Frequency-Division Multiplexing for Visible Light Communications
    Zhou, Ji
    Wang, Qi
    Wei, Jinlong
    Cheng, Qixiang
    Zhang, Tiantian
    Yang, Zhanyu
    Yang, Aiying
    Lu, Yueming
    Qiao, Yaojin
    IEEE ACCESS, 2018, 6 : 17933 - 17941
  • [3] Faster-than-Nyquist non-orthogonal frequency-division multiplexing based on fractional Hartley transform
    Zhou, Ji
    Qiao, Yaojun
    Yang, Zhanyu
    Sun, Erkun
    OPTICS LETTERS, 2016, 41 (19) : 4488 - 4491
  • [4] Sphere decoder with box optimisation for faster-than-Nyquist non-orthogonal frequency division multiplexing
    Guo, Mengqi
    Zhou, Ji
    Lu, Yueming
    Qiao, Yaojun
    IET COMMUNICATIONS, 2020, 14 (04) : 627 - 634
  • [5] Faster-than-Nyquist non-orthogonal frequency-division multiplexing based on fractional Hartley transform (vol 41, pg 4488, 2016)
    Zhou, Ji
    Qiao, Yaojun
    Yang, Zhanyu
    Sun, Erkun
    OPTICS LETTERS, 2016, 41 (22) : 5417 - 5417
  • [6] Capacity of Multicarrier Faster-than-Nyquist Signaling
    Kim, Yong Jin Daniel
    Feng, Yi
    2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2020, : 2049 - 2054
  • [7] Non-Orthogonal Frequency-Division Multiplexing Based on Eigenvalue Decomposition
    Osaki, Seichiroh
    Ishihara, Takumi
    Sugiura, Shinya
    2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), 2020,
  • [8] Digital Signal Processing for Faster-than-Nyquist Non-Orthogonal Systems: An Overview
    Zhou, Ji
    Guo, Mengqi
    Qiao, Yaojun
    Wang, Haide
    Liu, Long
    Liu, Weiping
    Yu, Changyuan
    Li, Jianping
    Li, Zhaohui
    2019 26TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT), 2019, : 294 - 298
  • [9] Non-Orthogonal Matrix Precoding based Faster-than-Nyquist Signaling over Optical Wireless Communications
    Hu, Zhouyi
    Chan, Chun-Kit
    2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 2020,
  • [10] An Architecture for Non-Orthogonal Multi-Carrier Faster-than-Nyquist Transmission
    Fagorusi, Toluwanimi
    Feng, Yi
    Bajcsy, Jan
    2017 15TH CANADIAN WORKSHOP ON INFORMATION THEORY (CWIT), 2017,