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Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (6): 1208-1223.doi: 10.23919/JSEE.2022.000143

• • 上一篇    

  

  • 收稿日期:2020-04-07 出版日期:2022-12-18 发布日期:2022-12-24

Faster-than-Nyquist signaling based on filter bank multicarrier modulation with joint optimization

Hui CHE1,2(), Dingxiang PENG2(), Fachang GUO2(), Yong BAI3,*()   

  1. 1 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
    2 Ruijie Networks Co., Ltd, Fuzhou 350002, China
    3 School of Information and Communication Engineering, Hainan University, Haikou 570228, China
  • Received:2020-04-07 Online:2022-12-18 Published:2022-12-24
  • Contact: Yong BAI E-mail:xmutch@163.com;pengdx@ruijie.com.cn;guofachang@ruijie.com.cn;bai@hainanu.edu.cn
  • About author:
    CHE Hui was born in 1986. He received his Ph.D. degree from Beijing University of Posts and Telecommunications, China, in 2021. He is currently a postdoctoral fellow at the Institute of Ruijie Networks Co., Ltd. His research interests include information theory, wireless communications, high-spectrum-efficiency technologies, high-rate communication technologies. E-mail: xmutch@163.com

    PENG Dingxiang was born in 1977. He received his Ph.D. degree from Shanghai Institute of Technical Physics (SITP) of the Chinese Academy of Sciences, China, in 2007. He is currently the chief technology officer of the Research Institute of Ruijie Networks Co., Ltd. His current research interests include routing and switching technology, wireless communication technology, and data center computing technology. E-mail: pengdx@ruijie.com.cn

    GUO Fachang was born in 1985. He received his M.S. degree from Southeast University, China, in 2011. He is currently the R&D manager of the Research Institute of Ruijie Networks Co., Ltd. His current research interests include wireless communication and key technologies of the 5G/B5G. E-mail: guofachang@ruijie.com.cn

    BAI Yong was born in 1970. He received his B.S. degree from Xidian University, China, in 1992, and M.S. degree from Beijing University of Posts and Telecommunications, China, in 1995, and Ph.D. degree from Rutgers-The State University of New Jersey in 2001. He was with PacketVideo Corporation from 2000 to 2002. He was with Motorola from 2002 to 2004. He was with China Electronics Corporation Wireless R&D Ltd from 2004 to 2005. He was a senior researcher at DO Communication Over Mobile Network (DOCOMO) Beijing Communication Labs from 2005 to 2009. He has been a professor at School of Information and Communication Engineering, Hainan University since 2010. His current research interests include wireless communications, Internet of Things, and aritifical intelligence. E-mail: bai@hainanu.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61961014; 61561017).

Abstract:

Multi-carrier faster-than-Nyquist (MFTN) can improve the spectrum efficiency (SE). In this paper, we first analyze the benefit of time frequency packing MFTN (TFP-MFTN). Then, we propose an efficient digital implementation for TFP-MFTN based on filter bank multicarrier modulation. The time frequency packing ratio pair in our proposed implementation scheme is optimized with the SE criterion. Next, the joint optimization for the coded modulation MFTN based on extrinsic information transfer (EXIT) chart is performed. The Monte-Carlo simulations are carried out to verify performance gain of the joint inner and outer code optimization. Simulation results demonstrate that the TFP-MFTN has a 0.8 dB and 0.9 dB gain comparing to time packing MFTN (TP-MFTN) and higher order Nyquist at same SE, respectively; the TFP-MFTN with optimized low density parity check (LDPC) code has a 2.9 dB gain comparing to that with digital video broadcasting (DVB) LDPC. Compared with previous work on TFP-MFTN (SE=1.55 bit/s/Hz), the SE of our work is improved by 29% and our work has a 4.1 dB gain at BER=1×10?5.

Key words: faster-than-Nyquist, filter bank multi-carrier, time-frequency packing (TFP), spectrum efficiency (SE), joint optimization