Optimal Beam

Optimal beam selection in millimeter-wave (mmWave) communication systems aims to rapidly and efficiently identify the best transmit-receive beam pair for maximizing signal strength and minimizing latency. Current research focuses on reducing search time through machine learning techniques, including Bayesian optimization, multi-armed bandits, and deep learning models leveraging multimodal sensor data (e.g., LiDAR, GPS). These advancements are crucial for enabling reliable high-bandwidth mmWave communication in dynamic environments like vehicular networks, improving overall network performance and efficiency.