The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

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

Ensuring ultrareliable and low-latency communication (URLLC) for 5G wireless networks
and beyond is of capital importance and is currently receiving tremendous attention in …

While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

In this paper, the problem of proactive deployment of cache-enabled unmanned aerial
vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud …

Driven by the growing popularity of mobile applications, mobile cloud computing has been
envisioned as a promising approach to enhance computation capability of mobile devices …

Self-organization as applied to cellular networks is usually referred to Selforganizing
Networks (SONs), and it is a key driver for improving Operations, Administration, and …

In this paper, the problem of resource management is studied for a network of wireless
virtual reality (VR) users communicating over small cell networks (SCNs). In order to capture …

As an important means of obtaining information of marine situation, the marine monitoring
system relying on UAV has been paid more and more attention by all countries in the world …

Network slicing to enable resource sharing among multiple tenants-network operators
and/or services-is considered as a key functionality for next generation mobile networks …