Evolution of non-terrestrial networks from 5G to 6G: A survey

MM Azari, S Solanki, S Chatzinotas… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …

[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing

SMA Huda, S Moh - Journal of Network and Computer Applications, 2022 - Elsevier
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …

Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing

F Song, H Xing, X Wang, S Luo, P Dai… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …

Energy efficient UAV-enabled mobile edge computing for IoT devices: A review

M Abrar, U Ajmal, ZM Almohaimeed, X Gui… - IEEE …, 2021 - ieeexplore.ieee.org
With the emergence of computation-intensive and delay-sensitive applications, such as face
recognition, virtual reality, augmented reality, and Internet of Things (IoT) devices; Mobile …

AI-enabled UAV communications: Challenges and future directions

AO Hashesh, S Hashima, RM Zaki, MM Fouda… - IEEE …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …

Deep-graph-based reinforcement learning for joint cruise control and task offloading for aerial edge internet of things (edgeiot)

K Li, W Ni, X Yuan, A Noor… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
This article puts forth an aerial edge Internet of Things (EdgeIoT) system, where an
unmanned aerial vehicle (UAV) is employed as a mobile-edge server to process mission …

Achieve load balancing in multi-UAV edge computing IoT networks: A dynamic entry and exit mechanism

H Guo, X Zhou, Y Wang, J Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the gradual commercialization of 5G, especially the widespread application of artificial
intelligence (AI) technology, the Internet of Things (IoT) continues to expand and has …

Deep reinforcement learning-based computation offloading in uav swarm-enabled edge computing for surveillance applications

SMA Huda, S Moh - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …