孙春蕾, 李琳佩, 张海君. 基于OTFS的下一代车联网新型通信与感知一体化技术[J]. 工程科学学报, 2023, 45(10): 1674-1683. DOI: 10.13374/j.issn2095-9389.2022.12.30.002
引用本文: 孙春蕾, 李琳佩, 张海君. 基于OTFS的下一代车联网新型通信与感知一体化技术[J]. 工程科学学报, 2023, 45(10): 1674-1683. DOI: 10.13374/j.issn2095-9389.2022.12.30.002
SUN Chunlei, LI Linpei, ZHANG Haijun. OTFS-enabled integrated sensing and communication techniques for next-generation V2X networks[J]. Chinese Journal of Engineering, 2023, 45(10): 1674-1683. DOI: 10.13374/j.issn2095-9389.2022.12.30.002
Citation: SUN Chunlei, LI Linpei, ZHANG Haijun. OTFS-enabled integrated sensing and communication techniques for next-generation V2X networks[J]. Chinese Journal of Engineering, 2023, 45(10): 1674-1683. DOI: 10.13374/j.issn2095-9389.2022.12.30.002

基于OTFS的下一代车联网新型通信与感知一体化技术

OTFS-enabled integrated sensing and communication techniques for next-generation V2X networks

  • 摘要: 车联网借助新一代信息通信技术,实现人、车、路、云等的互联互通. 未来beyond 5G(B5G)和6G将赋予下一代车联网更极致的通信与感知性能,有效支撑智能驾驶与智慧交通等创新应用. 然而,车辆高速移动带来的高多普勒效应,极大地增加了现有正交频分复用(Orthogonal frequency division multiplexing,OFDM)系统的载波间干扰和导频开销,尤其是B5G/6G时代毫米波、太赫兹等高频段的广泛应用将进一步加剧这一问题. 近年来,正交时频空间(Orthogonal time frequency space, OTFS)技术由于在抗时频双域选择性衰落方面的显著优势受到了业界的广泛关注. 基于OTFS实现通信与感知一体化成为了车联网领域的研究热点. 本文旨在研究基于OTFS的车联网通感一体化的系统原理、关键技术、应用模式及技术挑战. 首先,在现有OTFS通信系统的基础上,探讨OTFS通感一体化的系统架构、实现原理以及通信和感知性能. 然后,介绍OTFS技术的国内外研究现状,并进一步从物理层帧结构、导频机制等方面讨论OTFS通感一体化的难点与关键技术. 最后,结合实际场景,分析OTFS在车联网通感一体化中的应用及面临的主要挑战.

     

    Abstract: The vehicle-to-everything (V2X) network has the potential to revolutionize the way we interact with vehicles and the surrounding. By utilizing innovative information and communication technologies, V2X networks can connect human beings, vehicles, roadside units, and even the cloud. In the near future, beyond 5G (B5G) and 6G technologies will enable the next-generation V2X networks to achieve superior communication and sensing capabilities, which is expected to offer advanced technologies such as intelligent driving and transportation. However, the strong Doppler effects arising from the high mobility of vehicles may lead to significant inter-carrier interference and pilot overheads in the existing orthogonal frequency division multiplexing (OFDM) systems, particularly as the millimeter wave and terahertz technologies dominate the B5G/6G era. In recent years, orthogonal time frequency space (OTFS) techniques have attracted attention owing to their ability to resist doubly-selective fading. In addition, the integrated sensing and communication (ISAC) based on OTFS (OTFS-ISAC) has emerged as a promising approach for V2X networks. In this context, our objective is to investigate the system structure, application and challenges of OTFS-ISAC in V2X networks, along with the related key techniques such as frame structure, pilot design and signal processing. First, we will explore the structures and fundamental theories of OTFS-ISAC systems, followed by the evaluation of communication and sensing performance. In particular, we will investigate the system architecture of OTFS-ISAC in monostatic and bistatic radar modes, respectively. Secondly, we will provide an overview of the state-of-the-art of OTFS techniques and further discuss the challenges and key techniques of OTFS-ISAC concerning the frame structure in the physical layer, pilot mechanism design, communication and radar signal analyses, etc. Finally, we will examine the case studies of OTFS-ISAC utilization in V2X networks to address corresponding major issues such as the inadequacy of Doppler resolution, low overhead beam scanning and target detection, and cooperative resource management. The ISAC system is in developmental stages, and this is the first comprehensive review that investigates the OTFS-ISAC system in detail. Although OTFS-ISAC offers significant advantages over OFDM-enabled ISAC in V2X characterized by high mobility, it faces numerous challenges in practical applications, including the well-known fractional Doppler effect and high peak-to-average ratio. However, with continuous development and technological advancements, it is anticipated that the OTFS-ISAC system will gain wide acceptance.

     

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