Radar-assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing

2020/01/25 by Fan Liu, Weijie Yuan, Liu, Fan +5 · 27 citations
Engineering · #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Radar Systems and Signal Processing #Signal Processing (eess.SP) #Vehicular Ad Hoc Networks (VANETs) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2001.09306

openalex publication_date 2020/01/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In vehicular networks of the future, sensing and communication functionalities will be intertwined. In this paper, we investigate a radar-assisted predictive beamforming design for vehicle-to-infrastructure (V2I) communication by exploiting the dual-functional radar-communication (DFRC) technique. Aiming for realizing joint sensing and communication functionalities at road side units (RSUs), we present a novel extended Kalman filtering (EKF) framework to track and predict kinematic parameters of each vehicle. By exploiting the radar functionality of the RSU we show that the communication beam tracking overheads can be drastically reduced. To improve the sensing accuracy while guaranteeing the downlink communication sum-rate, we further propose a power allocation scheme for multiple vehicles. Numerical results have shown that the proposed DFRC based beam tracking approach significantly outperforms the communication-only feedback based technique in the tracking performance. Furthermore, the designed power allocation method is able to achieve a favorable performance trade-off between sensing and communication.

Citations

• Fundamentals of Statistical Signal Processing: Estimation Theory
• Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

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