… of the key enablers in the B5G era of wireless communication as it offers ‘parallel …
learning-based solutions for wireless communication. The author of [87] presented a federated …

… research in deep learning being heavily used in wireless communications problems.
However, there is a wellknown concern regarding the sensitivity of deep learning-based …

… wireless communication have already changed the way people communicate with each other.
From the history, one can learn … In an era when all intercontinental transport was entirely …

… processing, and embedded machine learning. He was the recipient of … wireless
communications and networking, network intelligence, IoT, ultra-reliable and low-latency …

… (DML) is instrumental under different wireless network settings for … learning tasks in a
distributed fashion. This is critical for future wireless networks [11], in the Internet-of-Things (IoT) era…

… allocation in wireless communications [34]. For example, unsupervised learning are … air-ground-sea
integrated network) in 6G era as shown in Fig. 7. By integrating with satellite …

… The rapid developments in machine learning will result in efficient intelligent networks in 6G
… In previously mobile communication era, the users were really concerned about peak rate, …

… This article presents an RL-aware framework for next-generation wireless communications
to cope with such a situation in future technologies, 5G and beyond (6G) for IEEE 802.11 …

… (AI) and machine learning (ML) technologies in wireless commu… have become an enabler
in wireless communications to fulfill the … In this paper, we elaborate on several typical wireless …

… We provide a holistic overview of the joint AI and RIS enhanced wireless communication …
Debbah, “Wireless networks design in the era of deep learning: Model-based, AI-based, or …