In this paper, we study a relay-assisted federated edge learning (FEEL) network under
latency and bandwidth constraints. In this network, users collaboratively train a global model …

This paper studies a multi-tier cache-aided relaying network, where the destination is
randomly located in the network and it requests files from the source through the help of …

To support multi-source data stream generated from Internet of Things devices, edge
computing emerges as a promising computing pattern with low latency and high bandwidth …

This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge
computing (MEC) network with multiple sources and one computing access point (CAP), in …

This paper focuses on the profit maximization problem in a reconfigurable intelligent
surfaces (RIS) aided computing network, where multiple heterogeneous users offload their …

Due to its low latency and energy consumption, edge computing technology is essential in
processing multi-source data streams from intelligent devices. This article investigates a …

The deployment of Internet of Things (IoT) systems in Smart Agriculture (SA) operates in
extreme environments including wind, snowfall, flooding, landscape, and so on for collecting …

In this paper, we investigate a semantic-aware mobile edge computing (MEC) network for
sustainable next-G consumer electronics, which leverages advanced semantic …

This paper studies an intelligent reflect surface (IRS) aided mobile edge computing (MEC)
network, where the direct link exists in the network can assist the task transmission for …

Aims The multi-omics data integration has emerged as a prominent avenue within the
healthcare industry, presenting substantial potential for enhancing predictive models. The …