[HTML][HTML] Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC

A Nauman, WU Khan, G Aldehim, H Alqahtani… - Journal of King Saud …, 2024 - Elsevier
Abstract Smart devices in Industry 5.0, such as sensors and robots, are often limited by low
battery life and finite computational resources, hindering their ability to perform complex …

Intelligent Reflecting Surfaces Enhanced Mobile Edge Computing: Minimizing the Maximum Computational Time

M Sarfraz, HM Alshahrani, K Tarmissi, H Alshahrani… - Sensors, 2022 - mdpi.com
Intelligent reflecting surfaces (IRS) and mobile edge computing (MEC) have recently
attracted significant attention in academia and industry. Without consuming any external …

Decomposition and Meta-DRL based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems

Y Zhou, L Lei, X Zhao, L You, Y Sun… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Wireless-based federated learning (FL), as an emerging distributed learning approach, has
been widely studied for 6G systems. When the paradigm shifts from terrestrial to non …

[HTML][HTML] Dynamic offloading strategy for computational energy efficiency of wireless power transfer based MEC networks in industry 5.0

S Aljubayrin, G Aldehim, N Alruwais… - Journal of King Saud …, 2023 - Elsevier
Wireless power transfer (WPT) has emerged as a promising solution for delivering services
to low-power Internet of Things (IoT) devices in a demand-driven manner. In this work, we …

Efficient resource allocation and user association in NOMA-enabled vehicular-aided HetNets with high altitude platforms

A Nauman, M Maashi, HK Alkahtani… - Computer …, 2024 - Elsevier
The increasing demand for massive connectivity and high data rates has made the efficient
use of existing spectrum resources an increasingly challenging problem. Non-orthogonal …

Joint Beam Direction Control and Radio Resource Allocation in Dynamic Multi-beam LEO Satellite Networks

S Yuan, Y Sun, M Peng, R Yuan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-beam low earth orbit (LEO) satellites are emerging as key components in beyond 5G
and 6G to provide global coverage and high data rate. To fully unleash the potential of LEO …

Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning

J Li, G Sun, Q Wu, D Niyato, J Kang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we propose a distributed collaborative beamforming (DCB)-based uplink
communication paradigm for enabling ground-space direct communications. Specifically …

Performance of RSMA-Based UOWC systems over oceanic turbulence channel with pointing errors

Z Rahman, I Romdhane… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Underwater optical wireless communication (UOWC) systems face significant challenges
due to oceanic turbulence and pointing errors (PE), which can degrade system performance …

Reinforcement learning for link adaptation and channel selection in LEO satellite cognitive communications

MA Qureshi, E Lagunas… - IEEE Communications …, 2023 - ieeexplore.ieee.org
In this letter, we solve the link adaptation and channel selection problem in next generation
satellite cognitive networks under dynamically varying channel availability and time-varying …

Resource Optimization for Integrated Terrestrial Non-Terrestrial Networks Involving IRS

WU Khan, A Mahmood, E Lagunas… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Intelligent reconfigurable surfaces (RIS) have emerged as one of the most promising and
cost-effective technologies due to their high energy efficiency, extended wireless coverage …