Performance of LDPC Coded OTFS Systems over High Mobility Channels

doi:10.12142/ZTECOM.202104005

ZTE Communications ›› 2021, Vol. 19 ›› Issue (4): 45-53.DOI: 10.12142/ZTECOM.202104005

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Performance of LDPC Coded OTFS Systems over High Mobility Channels

ZHANG Chong^1,^2,^3,⁴(), XING Wang^1,^2,^3,⁴, YUAN Jinhong⁵, ZHOU Yiqing^1,^2,^3,⁴

^1.Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190, China
^2.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
^3.University of Chinese Academy of Sciences, Beijing 100049, China
^4.Zhongke Nanjing Mobile Communication & Computing Innovation Institute, Nanjing 211135, China
^5.School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney NSW 2052, Australia

Received:2021-10-29 Online:2021-12-25 Published:2022-01-04
About author:ZHANG Chong (zhangchong@ict.ac.cn) received the B.S. degree in electronic & information engineering from Huaqiao University, China in 2017, and the M.S. degree in electronic and communication engineering from University of Chinese Academy of Science, China in 2020. He is currently pursuing the Ph.D. degree in the Institute of Computing Technology, Chinese Academy of Science, China. His research interests include channel coding, modulation, and wireless communications.|XING Wang received the B.S. degree from University of Science and Technology Beijing, China in 2019. He is currently pursuing the Ph.D. degree at the Wireless Communication Research Center, Institute of Computing Technology, Chinese Academy of Sciences. His current research interests include orthogonal time frequency space modulation and the convergence of communication, computation, and caching.|YUAN Jinhong received the B.E. and Ph.D. degrees in electronics engineering from the Beijing Institute of Technology, China, in 1991 and 1997, respectively. In 2000, he joined the School of Electrical Engineering and Telecommunications, University of New South Wales, Australia, where he is currently a professor and Head of Telecommunication Group with the School. He has published two books, five book chapters, over 300 papers in telecommunications journals and conference proceedings, and 50 industrial reports. He is a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check codes. He has co-authored four Best Paper Awards and one Best Poster Award. He is an IEEE Fellow and currently serving as an Associate Editor for the IEEE Transactions on Wireless Communications. He served as the IEEE NSW Chapter Chair of Joint Communications/Signal Processions/Ocean Engineering Chapter during 2011-2014 and served as an Associate Editor for the IEEE Transactions on Communications during 2012-2017. His current research interests include error control coding and information theory, communication theory, and wireless communications.|ZHOU Yiqing received the B.S. degree in communication and information engineering and the M.S. degree in signal and information processing from Southeast University, China in 1997 and 2000, respectively, and the Ph.D. degree in electrical and electronic engineering from The University of Hong Kong, China in 2004. She is currently a professor with the Wireless Communication Research Center, Chinese Academy of Sciences. She has published over 150 articles and four books/book chapters. She received the best paper awards from WCSP2019, IEEE ICC2018, ISCIT2016, PIMRC2015, ICCS2014, and WCNC2013. She also received the 2014 Top 15 Editor Award from IEEE TVT and the 2016–2017 Top Editors of ETT. She is also the TPC Co-Chair of ChinaCom2012, an Executive Co-Chair of IEEE ICC2019, a Symposia Co-Chair of ICC2015, a Symposium Co-Chair of GLOBECOM2016 and ICC2014, a Tutorial Co-Chair of ICCC2014 and WCNC2013, and the Workshop Co-Chair of SmartGridComm2012 and GlobeCom2011. She is also the Associate/Guest Editor of some renowned journals.ZHOU Yiqing is the corresponding author.
Supported by:
This paper was partially supported by National Key R&D Program of China(2020YFB1807802);the National Science Fund for Distinguished Young Scholars(61901453);Jiangsu Provincial Key Research and Development Program(BE2021013-2)

Abstract

Abstract:

The upcoming 6G wireless networks have to provide reliable communications in high-mobility scenarios at high carrier frequencies. However, high-mobility or high carrier frequencies will bring severe inter-carrier interference (ICI) to conventional orthogonal frequency-division multiplexing (OFDM) modulation. Orthogonal time frequency space (OTFS) modulation is a recently developing multi-carrier transmission scheme for wireless communications in high-mobility environments. This paper evaluates the performance of coded OTFS systems. In particular, we consider 5G low density parity check (LDPC) codes for OTFS systems based on 5G OFDM frame structures over high mobility channels. We show the performance of the OTFS systems with 5G LDPC codes when sum-product detection algorithm and iterative detection and decoding are employed. We also illustrate the effect of channel estimation error on the performance of the LDPC coded OTFS systems.

Key words: OTFS, LDPC codes, OFDM

ZHANG Chong, XING Wang, YUAN Jinhong, ZHOU Yiqing. Performance of LDPC Coded OTFS Systems over High Mobility Channels[J]. ZTE Communications, 2021, 19(4): 45-53.

Figures/Tables 11

Figure 1 An illustration of uncoded OTFS system via iterative SPA detection

Figure 2 BLER performance of the uncoded OTFS systems with P=4

Figure 3 An illustration of coded OTFS system via iterative SPA detection

Figure 4 BLER performance of the coded OTFS systems

Table 1 Parameters of LDPC codes

Information Bits $K$	Code Rate $R$	Modulation
2 100	1/2	BPSK
4 200	1/2	QPSK
8 400	1/2	16QAM

Table 1 Parameters of LDPC codes

Information Bits $K$	Code Rate $R$	Modulation
2 100	1/2	BPSK
4 200	1/2	QPSK
8 400	1/2	16QAM

Figure 5 Illustration of coded OTFS system via decoding iteration

Figure 6 BLER performance of the coded OTFS systems with BPSK modulation

Figure 7 BLER performance of the coded OTFS systems with QPSK modulation

Figure 8 An illustration of coded OTFS system via hybrid iteration

Figure 9 BLER performance of the coded OTFS systems via hybrid detection and decoding OTFS

Figure 10 BLER performance of the coded OTFS systems with channel estimation

References 36

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Performance of LDPC Coded OTFS Systems over High Mobility Channels

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