Leveraging External Sensors for Enhanced Beam Alignment and Tracking in 6G mmWave Communication Systems

Abstract:
The continuing demand for data traffic and the quest for ultra-reliable, low-latency communication are propelling the evolution of 6th generation mobile network (6G) cellular networks. Among the key technologies underpinning this evolution, beamforming stands out for its role in enhancing signal transmission efficiency, particularly in the Millimeter Wave (mmWave) spectrum. However, traditional beamforming approaches encounter challenges related to limited channel knowledge and complex environmental conditions. This paper explores the integration of position data into beamforming techniques for adaptive 6G cellular networks. By leveraging user location information, the network can precisely direct signals towards users, promising significant advancements in data rates, network capacity, and user experience. We present a system model that incorporates user location information into the beamforming algorithm and evaluate its potential compared to the traditional technique in 5th generation mobile network (5G). Additionally, we discuss the challenges and opportunities associated with this approach, offering insights into its potential impact on future cellular networks.