The development of metasurfaces has unlocked various use cases in wireless
communication networks to improve performance by manipulating the propagation …

The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …

In this article, we propose a deep reinforcement learning (DRL)-based mobility load
balancing (MLB) algorithm along with a two-layer architecture to solve the large-scale load …

In this paper, we consider a single-cell multi-user orthogonal frequency division multiple
access (OFDMA) network with one unmanned aerial vehicle (UAV), which works as an …

Load balancing has become a key technique to handle the increasing traffic demand and
improve the user experience. It evenly distributes the traffic across network resources by …

This article introduces an adaptive memristor-programming neurodynamic approach
(AMPNA) to tackle optimization problems that are nonconvex and nonsmooth with inequality …

The performance of the future mobile communication system could greatly improve as a
result of Device-to-Device (D2D) communication and Non-Orthogonal Multiple Access …

Load balance in vehicular ad hoc networks (VANETs) is a challenge in vehicle-to-vehicle
computation offloading, due to stochastic requests of users, heterogeneous service …

Machine type communication (MTC) is a fundamental technology to realize the concept of
fully connected world in fifth generation (5G) Internet of Things (IoT). The massive roll out of …

Resource allocation in ultra dense network (UDN) is an multi-objective optimization problem
since it has to consider the tradeoff among spectrum efficiency (SE), energy efficiency (EE) …