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

In vehicular networks of the future, sensing and communication functionalities will be intertwined. In this article, 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…

• EA
  Engineering and Physical Sciences Research Council

  Awards: EP/S028455/1, EP/R007934/1, EP/S028455/1
• AR
  Australian Research Council

  Award: DP190101363
• HM
  H2020 Marie Skłodowska-Curie Actions

  Award: 793345