Artificial Intelligence for Radio Communication Context-Awareness

Malgorzata Wasilewska, Adrian Kliks, Hanna Bogucka, Krzysztof Cichon, Julius Ruseckas, Gediminas Molis, Ausra Mackute-Varoneckiene, Tomas Krilavicius
2021 IEEE Access  
This paper surveys Artificial Intelligence (AI) methods for acquiring and managing contextof-operation awareness of radio communication nodes, links, and networks. The meaning and significance of context information and suitability of Machine Learning (ML) methods for the enrichment of context information is discussed. A number of context features are considered in this regard and thorough analysis on which ML methods are suitable to which part of context learning is provided. The added value
more » ... the paper is the presentation of a synthesized framework of context-information processing, sharing, and management in a radio communication network by delineating a network-embedded subsystem for this management. Recommendations for a future AI/ML-based radio communication system architectures are also provided.
doi:10.1109/access.2021.3119524 fatcat:eh3b2vxiujd3xglaumnpvg6djq