The sixth generation (6G) mobile communication system is expected to meet the different
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …

In this paper, we propose a distributed joint computation offloading and resource allocation
optimization (JCORAO) scheme in heterogeneous networks with mobile edge computing …

Machine learning and artificial intelligence (AI) techniques can play a key role in resource
allocation and scheduler design in wireless networks that target applications with stringent …

With the rise of intelligent and connected vehicles (ICVs), new vehicle applications continue
to emerge, while the computing capability of vehicles remains limited. Mobile edge …

The cloud radio access network (C-RAN) with mobile edge computing (MEC) structure
which consists of a baseband unit (BBU) pool integrating with an MEC server and several …

This paper investigates the tradeoff between energy efficiency (EE) and spectrum efficiency
(SE) in a downlink non-orthogonal multiple access (NOMA)-based heterogeneous networks …

Towards a green communication discipline, more energy-efficient wireless networks are
needed. In this paper, an energy-efficient interference management technique is proposed …

The widespread application of wireless mobile services and requirements of ubiquitous
access have resulted in drastic growth of the mobile traffic and huge energy consumption in …

The rapid increase of user data traffic demand has promoted the telecommunication sector
toward adopting a new generation, that is, fifth‐generation (5G). Cloud radio access network …

Next-generation wireless networks will be supporting mission critical services such as safety
related applications of connected autonomous vehicles, and real-time control of medical and …