Research on Beam Tracking Algorithm with Perception Assistance in Vehicular Network Scenario

With the development of B5G/6G wireless communication technology, research on integrated sensing and communication (ISAC) technology for Vehicle-to-Everything (V2X) scenarios is gaining increasing attention. Future V2X scenarios place higher requirements on reliable and efficient communication links between Base Stations or Roadside Units and Vehicles. Based on the advantages of OTFS technology in high-speed motion scenarios, an ISAC-assisted MIMO-OTFS vehicle networking model is constructed. Under this system model, in order to achieve more stable and efficient beam alignment between Base Station or RSU and vehicle, and adapt to complex vehicle motion scenes, an improved adaptive volume Kalman filter algorithm is proposed in this paper, and it is applied to vehicle networking scenarios.