… section, artificial intelligence and machine learning are introduced as well as a survey of
the state-of-the-art achievements in applying learning techniques in cognitive radio networks. …

… not be underestimated and artificial intelligence (AI)-defined 5G radio access networks are
proposed … of mobile edge computing and caching, smart cities, and context-aware networking. …

… a comprehensive survey of various artificial intelligence (AI) techniques implemented in
cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). AI …

… hidden characteristics of networks for new capacity, performance, and services. We believe
the intelligent radio will be the prominent feature of next generation wireless networks. It calls …

… In this article, we have surveyed the recent progress in supporting artificial intelligence (AI)
in radio access networks (RANs). Based on the learned experiences, an AI-driven fog RAN (F-…

… framework of cognitive networking. … , machine learning, control theory, and artificial
intelligence) to present a cogent and holistic overview of techniques that can be useful for network-…

… total cost of the wireless network in a wireless service provider’s network. Increasing RAN …
intelligent optimization. This paper focuses on an initiative called Open-Radio Access Network …

… This paper focuses on the practical issues associated with realizing cognition in a radio,
which we view as an application of artificial intelligence (AI) to the radio domain, while only …

… of the available spectrum in wireless communication networks. Spectrum Sensing (SS) is …
problems in CR networks. From another side, CR networks can utilize Artificial Intelligence (AI) …

… A software radio with reconfiguration capacity will become Cognitive Radio by imparting
intelligence to SDR using Artificial Intelligence Techniques. There are processes in CR such as …