… We live in an era of remarkable expansion of wireless data traffic. Although the … learning,
reinforcement learning, and federated learning, have been studied for wireless communications …

… oriented traffic offloading for wireless networks: A brief survey and a learning approach for …
deployed OFDMA-based mobile broadband wireless communications system. He holds over …

… with the aid of machine-learning (ML) … communications in the modern era. The use of
HSTRNs is required for the seamless integration of terrestrial cellular and satellite communications. …

… a significant paradigm shift in 6G wireless networks, including machine learning, deep … as
autonomous driving and remote surgery in 6G era. Since these applications are closely related …

… learning (QML) methodologies, with a unique perspective on their applications for wireless
communications, is … the performance of wireless systems. The integration of quantum-based …

Presently, we are observing a paradigm shift in communication technology as every enterprise
is trying to shift their focus to smart communication networks to take advantage of network …

… wireless networks. Since the beginning of the modern era of wireless communications, the
… Debbah, ‘‘Wireless networks design in the era of deep learning: Model-based, AI-based, or …

… can be used to achieve super IOT, and machine learning techniques are promising candidates
… In this recent era, the technologies that are wireless in nature are quite useful. It helps the …

… usage in wireless communication, based on the characteristics of DRL, this study applies DRL
to wireless communication … In the era of the IoT, people face massive amounts of data and …

… This is due not only to the growth in data traffic and in the number of connected terminals,
but also because we are on the verge of new era, where everyone and everything will be …