Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

With the development of artificial intelligence (AI) techniques and the increasing popularity
of camera-equipped devices, many edge video analytics applications are emerging, calling …

The aim of this paper is to propose a novel dynamic resource allocation strategy for energy-
efficient adaptive federated learning at the wireless network edge, with latency and learning …

With the increasing growth of information through smart devices, increasing the quality level
of human life requires various computational paradigms presentation including the Internet …

The digital transformation of Industry 4.0 is driven by the automation of manufacturing
processes. In this context, communication plays a vital role and the emergence of 5G …

Whenever communication takes place to fulfill a goal, an effective way to encode the source
data to be transmitted is to use an encoding rule that allows the receiver to meet the …

6G will connect heterogeneous intelligent agents to make them natively operate complex
cooperative tasks. When connecting intelligence, two main research questions arise to …

In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate
inference at the wireless edge, in the context of 6G networks endowed with reconfigurable …