Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks

Ruoxiao Cao1; Hengtao He1; Xianghao Yu1; Jun Zhang1; S.H. Song1; Yi Gong2; Khaled B. Letaief1

10.1109/MeditCom55741.2022.9928765

2022

978-1-6654-9826-5

2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)

160-165

5-8 Sept. 2022

Athens, Greece

Thanks to the ultra high-speed and low-latency wireless links provided by 5G and beyond networks, vehicular-to-vehicle communications has been brought into reality. Deploying large-scale antenna arrays at higher frequencies is expected to be one of the key-enabling technologies for accurate localization and tracking in vehicular networks. However, different from conventional vehicular systems, the near-field region becomes non-negligible due to the enlarged antenna aperture and reduced wavelength, which has to be taken into account in 6G vehicular networks. This paper investigates the near-field cooperative localization and tracking problem, where the diversity in the angle-of-arrivals at different antenna elements is exploited for location estimation. An algorithm based on belief propagation (BP) is developed, while particle processing with a novel agent selection strategy is proposed to facilitate low-complexity and high-precision localization and tracking. Simulation results will show the effectiveness of the proposed BP algorithm over the state-of-the-art approaches in terms of estimation accuracy.

Location awareness 6G mobile communication Wireless communication 5G mobile communication Simulation Estimation Aperture antennas

其他

IEEE

1.Dept. of ECE, The Hong Kong University of Science and Technology, Kowloon, Hong Kong
2.Dept. of EEE, Southern University of Science and Technology, Shenzhen, China

Ruoxiao Cao,Hengtao He,Xianghao Yu,et al. Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks[C],2022:160-165.