Abstract Large Language Models (LLMs) and other large foundation models have achieved
impressive results, but their size exacerbates existing resource consumption and latency …

Task-oriented caching in vehicular edge computing (VEC) has become a hot topic recently,
which brings in many opportunities for capability limited vehicles and makes VEC task …

Nowadays, artificial intelligence technologies (eg, deep neural networks) have been used
widely in the Internet of Things (IoT) to provide smart services and sensing data processing …

This article debates on notions of context-awareness as a relevant asset of networking and
computing architectures for an Internet of Things (IoT), in particular in regards to a smoother …

Abstract 5G brought an evolution on the network architecture employing the service-based
paradigm, enabling flexibility in realizing customized services across different technology …

Cache-enabled coordinated mobile edge network is an emerging network architecture,
wherein serving nodes located at the network edge have the capabilities of baseband signal …

Artificial intelligence (AI) and therefore the Internet of Things are becoming progressively
more important as they will aid the decarbonization framework. The coordination of those …

In this paper, the joint edge caching and content recommendation problem for the case of
inconsistent file sizes is investigated for fog radio access networks (F-RANs). Firstly, we …

Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …

The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …