The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

To support multifarious vehicular applications, content sharing among vehicles or between
vehicles and infrastructures can enable efficient service provisioning. In this work, we …

Due to the limited computation resources and lifetime of user equipment, we study the
energy minimization problem for computation offloading in cognitive radio networks (CRNs) …

Abstract Future sixth-generation (6G) networks will rely on the synergies of edge computing
and machine learning (ML) to build an intelligent edge, where communication and …

Vehicular fog computing (VFC) has been expected as a promising architecture that can
make full use of computing resources of idle vehicles to increase computing capability …

Mobile edge computing (MEC) enables users to offload their computation-intensive and
latency-sensitive tasks to edge servers. Based on MEC, users can reduce their energy …

Energy harvesting aided mobile edge computing (MEC) has gained much attention for its
widespread application in the computation-intensive, latency-sensitive and energy-hungry …

Virtualized base stations (vBS) can be implemented in diverse commodity platforms and are
expected to bring unprecedented operational flexibility and cost efficiency to the next …

In the actual production of coal mines, the transmission needs of existing underground
applications cannot be met due to a lack of strategies and customized equipment for …

In recent years, edge computing has become an increasingly popular computing paradigm
to enable real-time data processing and mobile intelligence. Edge computing allows …