Uplink secrecy performance of RIS-based RF/FSO three-dimension heterogeneous networks

D Wang, M Wu, Z Wei, K Yu, L Min… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, a novel reconfigurable intelligent surface (RIS)-assisted HAP-UAV secure multi-
user mixed radio frequency (RF)/free space optical (FSO) system is proposed. Specifically …

Radit: Resource allocation in digital twin-driven uav-aided internet of vehicle networks

B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Non-cooperative game algorithms for computation offloading in mobile edge computing environments

J Chen, Q Deng, X Yang - Journal of Parallel and Distributed Computing, 2023 - Elsevier
Abstract Mobile Edge Computing (MEC) has become a promising technology for 5G
networks. Computation offloading is an essential issue of MEC, which enables mobile User …

Computation energy efficiency maximization for intelligent reflective surface-aided wireless powered mobile edge computing

J Du, M Xu, SS Gill, H Wu - IEEE Transactions on Sustainable …, 2023 - ieeexplore.ieee.org
A wide variety of Mobile Devices (MDs) are adopted in Internet of Things (IoT) environments,
resulting in a dramatic increase in the volume of task data and greenhouse gas emissions …

Dependent task offloading with deadline-aware scheduling in mobile edge networks

M Maray, E Mustafa, J Shuja, M Bilal - Internet of Things, 2023 - Elsevier
In the field of the Internet of Things (IoT), Edge computing has emerged as a revolutionary
paradigm that offers unprecedented benefits by serving the IoT at the network edge. One of …

[HTML][HTML] Computing Offloading Strategy in Mobile Edge Computing Environment: A Comparison between Adopted Frameworks, Challenges, and Future Directions

S Zhou, W Jadoon, IA Khan - Electronics, 2023 - mdpi.com
With the proliferation of the Internet of Things (IoT) and the development of wireless
communication technologies such as 5G, new types of services are emerging and mobile …

Robust Computation Offloading and Trajectory Optimization for Multi-UAV-Assisted MEC: A Multi-Agent DRL Approach

B Li, R Yang, L Liu, J Wang, N Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC)
networks, we study the problem of combined computation and communication for user …

[HTML][HTML] DRL-assisted delay optimized task offloading in Automotive-Industry 5.0 based VECNs

MA Mirza, J Yu, S Raza, M Krichen, M Ahmed… - Journal of King Saud …, 2023 - Elsevier
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …

Deep reinforcement learning for the computation offloading in MIMO-based Edge Computing

A Sadiki, J Bentahar, R Dssouli, A En-Nouaary, H Otrok - Ad Hoc Networks, 2023 - Elsevier
Abstract Multi-access Edge Computing (MEC) has recently emerged as a potential
technology to serve the needs of mobile devices (MDs) in 5G and 6G cellular networks. By …

Energy-efficient task offloading and trajectory planning in UAV-enabled mobile edge computing networks

B Li, W Liu, W Xie, X Li - Computer Networks, 2023 - Elsevier
In order to meet the double-sided challenges brought by the shortage of computation
resources and energy of users, we investigate in this paper the optimization of energy …