Sensing-Assisted Robust Vehicle-to-Vehicle Communication with Multiple Antennas

Yanjie Pu, Zhiying Song, Fuxi Wen, Shenghua Zhou

Abstract: We propose a sensing-assisted dynamic beamforming method for robust vehicle-to-vehicle (V2V) communication between neighboring vehicles. For the proposed method, the main beam is directly steered towards the intended receivers and searching steps are not required. To maximize transmission throughput and avoid connection interruption caused by sensing uncertainties, higher directional gain for the interested field-of-view and lower sidelobe are expected. The problem is formulated as an array pattern synthesis problem that can be solved efficiently with the widely used semi-definite relaxation (SDR) methods.