A Literature Survey on AI-Aided Beamforming and Beam Management for 5G and 6G Systems.

ABSTRACT: Modern wireless communication systems rely heavily on multiple antennas and their corresponding signal processing to achieve optimal performance. As 5G and 6G networks emerge, beamforming and beam management become increasingly complex due to factors such as user mobility, a higher number of antennas, and the adoption of elevated frequencies. Artificial intelligence, specifically machine learning, offers a valuable solution to mitigate this complexity and minimize the overhead associated with beam management and selection, all while maintaining system performance. Despite growing interest in AI-assisted beamforming, beam management, and selection, a comprehensive collection of datasets and benchmarks remains scarce. Furthermore, identifying the most-suitable algorithm for a given scenario

SUBMITTER: Brilhante DDS 

PROVIDER: S-EPMC10181570 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature