Joint optimization of resource allocation, phase shift, and UAV trajectory for energy-efficient RIS-assisted UAV-enabled MEC systems

X Qin, Z Song, T Hou, W Yu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) has been
deemed a promising paradigm to provide ubiquitous communication and computing …

Queueing aware power minimization for wireless communication aided by double-faced active RIS

Y Zhou, Y Liu, Q Wu, Q Shi, J Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although reconfigurable intelligent surface (RIS) technology has manifested great potentials
in improving wireless network's power saving, most existing literature restricts to pure …

[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 …

RIS-empowered MEC for URLLC systems with digital-twin-driven architecture

S Kurma, M Katwe, K Singh, C Pan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper investigates a digital twin (DT) and reconfigurable intelligent surface (RIS)-aided
mobile edge computing (MEC) system under given constraints on ultra-reliable low latency …

Aerial STAR-RIS empowered MEC: A DRL approach for energy minimization

PS Aung, LX Nguyen, YK Tun, Z Han… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) addresses computational and battery limitations in
devices by allowing them to offload computation tasks. To overcome the difficulties in …

Simultaneously Transmitting and Reflecting Surfaces for Ubiquitous Next Generation Multiple Access in 6G and Beyond

X Mu, J Xu, Z Wang, N Al-Dhahir - Proceedings of the IEEE, 2024 - ieeexplore.ieee.org
The ultimate goal of next generation multiple access (NGMA) is to support massive terminals
and facilitate multiple functionalities over the limited radio resources of wireless networks in …

Joint offloading policy and resource allocation in IRS-aided MEC for IoT users with short packet transmission

J Jalali, A Khalili, R Berkvens… - 2023 IEEE 98th Vehicular …, 2023 - ieeexplore.ieee.org
This paper focuses on leveraging a mobile edge computing (MEC) server at an access point
(AP) to address the delay and reliability sensitivity requirement of multi-user machine-type …

Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

X Zhao, Y Wu, T Zhao, F Wang, M Li - Journal of Network and Computer …, 2024 - Elsevier
Mobile edge computing (MEC) enables computation intensive applications in the Internet of
Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective …

Method of minimizing energy consumption for RIS assisted UAV mobile edge computing system

Z Zhuo, S Dong, H Zheng, Y Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
In urban settings, the highly complex communication environment leads to a frequent
occurrence blockage in the link between ground users and unmanned aerial vehicle (UAV) …

A Survey On Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks

SK Das, B Champagne… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Wireless networks are increasingly relying on machine learning (ML) paradigms to provide
various services at the user level. Yet, it remains impractical for users to offload their …