ISAC-Enabled V2I Networks Based on 5G NR: How Much Can the Overhead Be Reduced?

Yunxin Li1; Fan Liu1; Zhen Du1; Weijie Yuan1; Christos Masouros2

10.1109/ICCWorkshops57953.2023.10283528

2023-05-28

IEEE International Conference on Communications (IEEE ICC)

2164-7038

979-8-3503-3308-4

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

691-696

28 May-1 June 2023

Rome, Italy

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

The emergence of the fifth-generation (5G) New Radio (NR) brings additional possibilities to vehicle-to-everything (V2X) network with improved quality of services. In order to obtain accurate channel state information (CSI) in highmobility V2X networks, pilot signals and frequent handover between vehicles and infrastructures are required to establish and maintain the communication link, which increases the overheads and reduces the communication throughput. To address this issue, integrated sensing and communications (ISAC) was employed at the base station (BS) in the vehicle-to-infrastructure (V2I) network to reduce a certain amount of overheads, thus improve the spectral efficiency. Nevertheless, the exact amount of overheads reduction remains unclear, particularly for practical NR based V2X networks. In this paper, we study a link-level NR based V2I system employing ISAC signaling to facilitate the communication beam management, where the Extended Kalman filtering (EKF) algorithm is performed to realize the functions of tracking and predicting the motion of the vehicle. We provide detailed analysis on the overheads reduction with the aid of ISAC, and show that up to 43.24% overheads can be reduced under assigned NR frame structure. In addition, numerical results are provided to validate the improved performance on the beam tracking and communication throughput.

V2I ISAC 5G NR EKF beam tracking

第一

英语

EI ; CPCI-S

Computer Science ; Engineering ; Telecommunications

Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications

WOS:001094861300113

20234815140520

5G mobile communication systems ; Channel state information ; Cost reduction ; Extended Kalman filters ; Spectrum efficiency ; Vehicle to Everything ; Vehicles

Electromagnetic Waves in Relation to Various Structures:711.2 ; Radio Systems and Equipment:716.3

IEEE

1.Southern University of Science and Technology, Shenzhen, China
2.University College London, London, UK

Yunxin Li,Fan Liu,Zhen Du,et al. ISAC-Enabled V2I Networks Based on 5G NR: How Much Can the Overhead Be Reduced?[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023:691-696.