… and user behavior so as to provide users’ information for solving diverse wireless
networking problems such as cell association, spectrum management, computational resource …

… AI in wireless networks while ignoring the resulting challenges arising as a consequence.
Therefore, major challenges that result from using AI in wireless networks … ing the challenges is …

… First, we categorize and explain distinct aspects of AI that can address wireless network
security threats. Although wireless network security threats are well investigated in different …

… B5G wireless networks. Our survey touches on different aspects of wireless network design
… , and network management and optimization. Then ML algorithms and applications to B5G …

… for 5G networks will present significant technical challenges. In … new characteristics of 5G
wireless network traffic and discuss … challenges in 5G wireless traffic caused by new scenarios, …

… Artificial intelligence (AI) is emerging as a fundamental enabler to orchestrate … the
performance of wireless networks. In addition, we identify challenges and open issues to provide a …

… Abstract—Recently, mobile networking systems have been designed with more complexity
of infrastructure and higher diversity of associated devices and resources, as well as more …

… Recently, artificial intelligence (AI) … machine learning (ML) has extended to wireless networks
that are constantly evolving. This enables better operation and management of networks, …

… This paper concludes with a discussion of challenges and the benefits of adopting big
data analytics, ML, and artificial intelligence in the nextgeneration communication systems. …

… widespread adoption of Wireless Sensor Network (WSN) … challenges in WSN concerning
Artificial Intelligence (AI) … methods with respect to different WSN challenges. Then, we provide a …