… 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. …

… Simultaneously, machine learning (ML)based artificial intelligence (AI) techniques have
become the key to develop the next-generation communication system. AI techniques have …

… With the automatic interactions among numerous devices, such as radio frequency
identification (RFID), sensor networks, and mobile phones, IoT can assist our daily life in various …

… of artificial intelligence (AI) and software-defined ratio (SDR) has gained momentum in the
management of networks … concepts is to transfer the radio engineering problem mainly to the …

… ■ The radio waves are used inefficiently. When reflected or refracted by … networks with the
functionalities of 1) customizing the radio environment (ie, controlling the propagation of radio …

… For example, during LTE radio network planning, a general propagation model that does
not incorporate the actual geographical information (terrain model) is applied to estimate …

… design of future networks, which will be based on multiple and diverse radio access
technologies, ultra-densely deployed, and have to serve a broad class of applications and …

A Cognitive Radio Sensor Network (CRSN) is a distributed network of sensor nodes, which
senses event signals and collaboratively communicates over dynamically available spectrum …

… network issues by leveraging artificial intelligence (AI). In this paper, we make a comprehensive
survey about AI-empowered networks … Enhancing the intelligence of radio networks by …

… overcome the channel impairments and other radio and computing obstacles. In contrast to
… 6G will leverage artificial intelligence (AI) to configure or adapt the radios and networks to the …