Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …

Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles
along with new means of transportation. Addressing a plethora of use cases, drones are …

Considering the user mobility and unpredictable mobile edge computing (MEC)
environments, this paper studies the intelligent task offloading problem in unmanned aerial …

Due to their characteristics of mobility, flexibility and adaptive altitude, unmanned aerial
vehicles (UAVs), also known as drones, have immense potential applications in wireless …

Unmanned aerial vehicles (UAVs) are widely applied for service provisioning in many
domains, such as topographic mapping and traffic monitoring. These applications are …

The promise of unmanned aerial vehicles (UAVs) combined with the mobile edge computing
(MEC), named MEC-aided-UAV extends the MEC application to offer new flexible, low …

In this paper, we consider a mobile edge computing (MEC) network where multiple cellular-
connected unmanned aerial vehicles (UAVs) can offload their computation tasks to multiple …

The surging of deep learning brings new vigor and vitality to shape the prospect of intelligent
Internet of Things (IoT), and the rise of edge intelligence enables provisioning real-time …

Mobile edge computing (MEC) has emerged as one of the key technical aspects of the fifth-
generation (5G) networks. The integration of MEC with resource-constrained unmanned …

Due to the characteristic of wide coverage, flexible deployment, and low cost, unmanned
aerial vehicles (UAVs) have been employed to provide mobile crowdsensing and edge …