With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Abstract Unmanned Aerial Vehicle (UAV) can play an important role in wireless systems as it
can be deployed flexibly to help improve coverage and quality of communication. In this …

Mobile edge computing (MEC) has emerged as a new paradigm to assist low latency
services by enabling computation offloading at the network edge. Nevertheless, human …

We consider Device-to-Device (D2D)-enabled mobile edge computing offloading scenario,
where a device can partially offload its computation task to the edge server or exploit the …

In today's era, Internet of Things (IoT) devices generate a vast amount of data, which is
typically stored in the cloud environment and can be accessed by edge and IoT devices. The …

The development of the 5G network is envisioned to offer various types of services like
virtual reality/augmented reality and autonomous vehicles applications with low-latency …

Abstract Offloading Internet of Things (IoT) tasks to the cloud for further processing might not
always lead to an optimal execution time, particularly in situations such as resource …

In this article, a deep reinforcement learning (DRL) control scheme is proposed to satisfy the
strict Quality-of-Service (QoS) requirements of ultrareliability low-latency communication …

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …

Edge computing is a viable paradigm for supporting Industrial Internet of Things deployment
by shifting computationally demanding tasks from resource-constrained devices to powerful …