… Therefore, the current generation of wireless communication is … , reliability, latency, intelligence,
security and energy efficiency, … Finally, artificial intelligence and machine learning are …

… degree in wireless communications from the University of Oulu… and the application of machine
learning in wireless networks. … machine learning applications for wireless communications. …

… by ubiquitously connecting intelligent vehicles through wireless communications. Such an …
resources due to the need of continuous communication and monitoring. Cognitive radio (CR) …

… the transmission mode can be selected to adapt to the current propagation environment,
which is helpful to improve the performance and reliability of wireless communication systems. …

… In this 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 …

… He is performing Matlab simulations and mathematical analysis for a variety of wireless
communication projects, in addition to supporting various business development efforts across a …

… of artificial intelligence and machine learning technologies, such as deep learning neural
network (DNN) algorithms [9]. In machine learning… These machine-learning-based methods are …

… of machine learning techniques. Then, by adopting a bottom-up approach, we examine
existing work on machine learning … of machine learning in IoT beyond wireless communication. …

… AI for WIreless: stAtus This section overviews the key thrusts in AI for wireless communication
from a fundamental research perspective, and from an industry and standardization …

… reside in a communication age, and wireless communication, in general and especially,
is an essential part of our daily lives. Some of the most often used Wireless Communications …