Future generations of mobile networks are expected to contain more and more antennas
with growing complexity and more parameters. Optimizing these parameters is necessary for …

Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …

We consider a many-to-one wireless architecture for federated learning at the network edge,
where multiple edge devices collaboratively train a model using local data. The unreliable …

The fifth generation (5G) of wireless communication technology has revolutionized the way
we connect with each other; enabling faster data transfer rates, lower latency, and higher …

Resource management plays a pivotal role in wireless networks, which, unfortunately, leads
to challenging NP-hard problems. Artificial Intelligence (AI), especially deep learning …

With the emergence of 5G, network densification, and richer and more demanding
applications, the radio access network (RAN)—a key component of the cellular network …

The next telecommunications standard, 5G, envisions that the future networks will support
advanced use cases, such as Internet of things while supporting voluminous simultaneous …

With the ever improving computing capabilities and storage capacities of mobile devices in
line with evolving telecommunication network paradigms, there has been an explosion of …

Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

With the rapid advancement of 5G networks, billions of smart Internet of Things (IoT) devices
along with an enormous amount of data are generated at the network edge. While still at an …