Sensing Assisted Robust Beamforming for mmWave Downlink Vehicle-to-Infrastructure Communications

Artikel i vetenskaplig tidskrift, 2025

This paper proposes a sensing-assisted robust beamforming strategy for millimeter-wave (mmWave) vehicle-to-infrastructure communications operating in near-and far-field regions. Near-field and far-field sources classification is not required. That simplifies system design and reduces latency. Furthermore, by incorporating environmental sensing information, the proposed beamforming scheme remains robust to sensing uncertainties, ensuring reliable communication performance under highly dynamic scenarios. Simulation results validate the effectiveness of the proposed approach in terms of both spectral efficiency and robustness.