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 …

Bringing AI to edge: From deep learning's perspective

D Liu, H Kong, X Luo, W Liu, R Subramaniam - Neurocomputing, 2022 - Elsevier
Edge computing and artificial intelligence (AI), especially deep learning algorithms, are
gradually intersecting to build the novel system, namely edge intelligence. However, the …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

Computation offloading and service caching for intelligent transportation systems with digital twin

X Xu, Z Liu, M Bilal, S Vimal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …

Fairness-aware task scheduling and resource allocation in UAV-enabled mobile edge computing networks

M Zhao, W Li, L Bao, J Luo, Z He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) has recently
emerged to provide data processing and caching in the infrastructure-less areas. However …

Optimization for computational offloading in multi-access edge computing: A deep reinforcement learning scheme

J Wang, H Ke, X Liu, H Wang - Computer Networks, 2022 - Elsevier
Owing to their limited computing power and battery level, wireless users (WUs) can hardly
handle compute-intensive workflows by the local processor. Multi-access edge computing …

Delay minimization for rate-splitting multiple access-based multi-server mec offloading

M Diamanti, C Pelekis, EE Tsiropoulou… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Rate-Splitting Multiple Access (RSMA) has been recently recognized as a more general
multiple access technique that overcomes the limiting factors of its predecessors related to …

RMDDQN-Learning: Computation Offloading Algorithm Based on Dynamic Adaptive Multi-Objective Reinforcement Learning in Internet of Vehicles

X Zhang, W Wu, Z Zhao, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a promising computing paradigm driven by 5G, mobile edge computing (MEC) empowers
smart vehicles to offload computation-intensive tasks to edge devices in the Internet of …

Digital twins and multi-access edge computing for IIoT

AP Plageras, KE Psannis - Virtual Reality & Intelligent Hardware, 2022 - Elsevier
Background All recent technological findings can be collectively used to strengthen the
industrial Internet of things (IIoT) sector. The novel technology of multi-access edge …

Latency-aware offloading for mobile edge computing networks

W Feng, H Liu, Y Yao, D Cao… - IEEE Communications …, 2021 - ieeexplore.ieee.org
To minimize the average latency of users to complete tasks, this letter jointly optimizes
offloading decision, computation and bandwidth resource allocation for Mobile Edge …