Wireless networks are increasingly relying on machine learning (ML) paradigms to provide
various services at the user level. Yet, it remains impractical for users to offload their …

The ever-growing popularity and rapid development of artificial intelligence (AI) have raised
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …

The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …

In this article, we introduce Wireless 2.0, the future generation of wireless communication
networks, in which the radio environment becomes controllable and intelligent by leveraging …

Reconfigurable Intelligent Surface (RIS) has emerged as one of the key technologies for 6G
in recent years, which comprise a large number of low-cost passive elements that can …

Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology,
revolutionizing wireless communication systems by enabling dynamic manipulation of radio …

The emerging technology of reconfigurable intelligent surfaces (RISs) is provisioned as an
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …

Reconfigurable Intelligent Surfaces (RISs) are recently gaining remarkable attention as a
low-cost, hardware-efficient, and highly scalable technology capable of offering dynamic …

Channel acquisition is one of the main challenges in a reconfigurable intelligent surface
(RIS) system due to the passive nature of an RIS. In order to accurately estimate RIS …

This paper integrates non-orthogonal multiple access (NOMA) and over-the-air federated
learning (AirFL) into a unified framework using a simultaneous transmitting and reflecting …