The fifth generation of wireless communications (5G) promises massive increases in traffic
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …

Due to the scarcity in the wireless spectrum and limited energy resources especially in
mobile applications, efficient resource allocation strategies are critical in wireless networks …

The 6G network enables a subnetwork-wide evolution, resulting in a “network of
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …

In typical wireless cellular systems, the handover mechanism involves reassigning an
ongoing session handled by one cell into another. In order to support increased capacity …

Deep neural networks have recently emerged as a disruptive technology to solve NP-hard
wireless resource allocation problems in a real-time manner. However, the adopted neural …

Machine learning (ML) has been widely used for efficient resource allocation (RA) in
wireless networks. Although superb performance is achieved on small and simple networks …

This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …

In dense Wireless Local Area Networks (WLANs), high-density Access Points (APs) bring
severe interference that seriously affects the experience of users, resulting in lower …

In this paper, we are interested in symbiotic radio networks (SRNs), in which an Internet-of-
Things (IoT) network parasitizes in a primary cellular network to achieve spectrum-, energy …

The model-based power allocation has been investigated for decades, but this approach
requires mathematical models to be analytically tractable and it has high computational …