As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

Fast growth of produced data from deferent smart devices such as smart mobiles, IoT/IIoT
networks, and vehicular networks running different specific applications such as Augmented …

This paper studies the joint communication, caching and computing design problem for
achieving the operational excellence and the cost efficiency of the vehicular networks …

Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …

Mobile edge computing sinks computing and storage capabilities to the edge of the network
to provide reliable and low-latency services. However, the mobility of users and the limited …

The substantial advancements offered by the edge computing has indicated serious
evolutionary improvements for the internet of things (IoT) technology. The rigid design …

Vehicular content networks (VCNs), which distribute medium-volume contents to vehicles in
a fully distributed manner, represent the key enabling technology of vehicular infotainment …

Mobile edge caching is a promising technique to reduce network traffic and improve the
quality of experience of mobile users. However, mobile edge caching is a challenging …

5G communication brings substantial improvements in the quality of service provided to
various applications by achieving higher throughput and lower latency. However, interactive …

The explosive growth of content requests from mobile users is stretching the capability of
current mobile networking technologies to satisfy users' demands with acceptable quality of …