A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks

Zhang, Xiaoqi1; Wen, Haifeng2; Yan, Ziyu1; Yuan, Weijie1; Wu, Jun1; Li, Zhongjie1

2023-09-01

10.3390/e25091358

ENTROPY   Impact Factor & Quartile

1099-4300

A vehicular network embodies a specialized variant of wireless network systems, characterized by its capability to facilitate inter-vehicular communication and connectivity with the encompassing infrastructure. With the rapid development of wireless communication technology, high-speed and reliable communication has become increasingly important in vehicular networks. It has been demonstrated that orthogonal time frequency space (OTFS) modulation proves effective in addressing the challenges posed by high-mobility environments, as it transforms the time-varying channels into the delay-Doppler domain. Motivated by this, in this paper, we focus on the theme of integrated sensing and communication (ISAC)-assisted OTFS receiver design, which aims to perform sensing channel estimation and communication symbol detection. Specifically, the estimation of the sensing channel is accomplished through the utilization of a deep residual denoising network (DRDN), while the communication symbol detection is performed by orthogonal approximate message passing (OAMP) processing. The numerical results demonstrate that the proposed ISAC system exhibits superior performance and robustness compared to traditional methods, with a lower complexity as well. The proposed system has great potential for future applications in wireless communication systems, especially in challenging scenarios with high mobility and interference.

integrated sensing and communication (ISAC) orthogonal time frequency space (OTFS) deep learning message passing (MP) joint channel estimation and symbol detection

SCI

English

First ; Corresponding

National Natural Science Foundation of China[62101232] ; Guangdong Provincial Natural Science Foundation[2022A1515011257]

Physics

Physics, Multidisciplinary

WOS:001079105800001

MDPI

Web of Science

1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
2.Hong Kong Univ Sci & Technol Guangzhou, Informat Hub, Guangzhou 511458, Peoples R China

Zhang, Xiaoqi,Wen, Haifeng,Yan, Ziyu,et al. A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks[J]. ENTROPY,2023,25(9).

Zhang, Xiaoqi,Wen, Haifeng,Yan, Ziyu,Yuan, Weijie,Wu, Jun,&Li, Zhongjie.(2023).A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks.ENTROPY,25(9).

Zhang, Xiaoqi,et al."A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks".ENTROPY 25.9(2023).