Resource management and reflection optimization for intelligent reflecting surface assisted multi-access edge computing using deep reinforcement learning

Z Wang, Y Wei, Z Feng, FR Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) enables the computation-intensive and latency-critical
application to be processed at the network edge, which reduces the transmission latency …

Latency and reliability aware edge computation offloading via an intelligent reflecting surface

E El Haber, M Elhattab, C Assi… - IEEE …, 2021 - ieeexplore.ieee.org
Despite the advantages of multi-access edge computing in enabling latency-sensitive
services and extending the limited computing capabilities of network devices, access …

Intelligent-reflecting-surface-aided mobile edge computing with binary offloading: Energy minimization for IoT devices

Y Yang, Y Gong, YC Wu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is envisioned as a promising technique to support
computation-intensive and time-critical applications in future Internet of Things (IoT) era …

Joint offloading design and bandwidth allocation for ris-aided multiuser mec networks

C Ge, Y Rao, J Ou, C Fan, J Ou, D Fan - Physical Communication, 2022 - Elsevier
This article examines a multiuser intelligent reflecting surface (RIS) aided mobile edge
computing (MEC) system, where multiple edge nodes (ENs) with powerful calculating …

Spectral graph theory based resource allocation for IRS-assisted multi-hop edge computing

H Zhang, X He, Q Wu, H Dai - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
The performance of mobile edge computing (MEC) depends critically on the quality of the
wireless channels. From this viewpoint, the recently advocated intelligent reflecting surface …

Joint Channel Estimation and Reinforcement Learning-Based Resource Allocation of Intelligent Reflecting Surface-Aided Multicell Mobile Edge Computing

W Xu, J Yu, Y Wu, DHK Tsang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Due to the massive computing demands of the Internet of Things, mobile edge computing
(MEC) has been extensively investigated as a means of providing computation-intensive …

Toward energy-efficient multiple IRSs: Federated learning-based configuration optimization

L Li, D Ma, H Ren, P Wang, W Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) can enhance the capacity and cost-effectiveness in future
wireless networks substantially. However, the configuration optimization of IRS in an energy …

Latency minimization for intelligent reflecting surface aided mobile edge computing

T Bai, C Pan, Y Deng, M Elkashlan… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient
paradigm of supporting resource-intensive applications on mobile devices. However, the …

Latency and reliability aware edge computation offloading in IRS-aided networks

E El Haber, M Elhattab, C Assi… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Seeing the poor wireless conditions caused by obstacles and deep fading that often face the
access network, intelligent reflective surfaces (IRS) have been recently studied for …

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 …