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 …

Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing

N Zhao, Z Ye, Y Pei, YC Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …

[HTML][HTML] Green UAV communications for 6G: A survey

X Jiang, M Sheng, Z Nan, X Chengwen… - Chinese Journal of …, 2022 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have received a wide range of attention for
military and commercial applications. Enhanced with communication capability, UAVs are …

[HTML][HTML] Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0

SH Alsamhi, AV Shvetsov, S Kumar, J Hassan… - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

Deep reinforcement learning based latency minimization for mobile edge computing with virtualization in maritime UAV communication network

Y Liu, J Yan, X Zhao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The rapid development of maritime activities has led to the emergence of more and more
computation-intensive applications. In order to meet the huge demand for wireless …

A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges

FS Abkenar, P Ramezani, S Iranmanesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Edge computing leverages computing resources closer to the end-users at the edge of the
network, rather than distant cloud servers in the centralized IoT architecture. Edge …

Joint multi-domain resource allocation and trajectory optimization in UAV-assisted maritime IoT networks

LP Qian, H Zhang, Q Wang, Y Wu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The integration of Maritime Internet of Things (M-IoT) technology and unmanned
aerial/surface vehicles (UAVs/USVs) has been emerging as a promising navigational …

Joint deployment optimization and flight trajectory planning for UAV assisted IoT data collection: A bilevel optimization approach

S Han, K Zhu, MC Zhou, X Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …

Online trajectory and resource optimization for stochastic UAV-enabled MEC systems

Z Yang, S Bi, YJA Zhang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The recent development of unmanned aerial vehicle (UAV) and mobile edge computing
(MEC) technologies provides flexible and resilient computation services to mobile users out …