Deep learning (DL)-enabled UAV networking can achieve more sufficient networking
services from inter-and intra-networking which can provide UAV networking with greater …

In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …

Mobile edge computing (MEC) network provides near-users computing and communication
functions and has become a potential 5G evolutionary architecture. In order to overcome the …

In this paper, we propose and study an energy-efficient trajectory optimization scheme for
unmanned aerial vehicle (UAV) assisted Internet of Things (IoT) networks. In such networks …

Unmanned aerial vehicles (UAVs) have emerged as a promising solution for enhancing
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …

Unmanned Aerial Vehicles (UAVs) have emerged as crucial components in advancing
Mobile Edge Computing (MEC), leveraging their proximity to edge nodes and scalable …

Unmanned aerial vehicles (UAVs) have huge potential in empowering new applications in
different areas ranging from military to medical applications and traffic control to the …

Unmanned aerial vehicles (UAVs) have been considered as effective flying base stations
(FBSs) to provide on-demand wireless communications. Equipped with computation …

Current mobile edge computing (MEC) owns cloud resources at the network edge, which
enables low-latency mobile services. In addition to fixed MEC servers, MEC proxy servers …

UAV communication network is an important supplement to traditional ground
communication networks. The deployment optimization of the UAV communication network …