Intelligent network slicing in V2X networks–A comprehensive review

MS Abood, H Wang, D He, Z Kang… - Journal of Artificial …, 2023 - ojs.istp-press.com
The rise of the Internet of Things and autonomous systems has made connecting vehicles
more critical. Connected autonomous vehicles can create diverse communication networks …

Seamless connectivity: The power of integrating power line and wireless communications

MV Ribeiro, ML Filomeno… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Aimed at inspiring researchers and practitioners, this paper presents comprehensive and
multidimensional discussions of the potential and benefits of integrating power line and …

Reinforcement learning based resource allocation for coverage continuity in high dynamic UAV communication networks

J Li, C Zhou, J Liu, M Sheng, N Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles mounted aerial base stations (ABSs) are capable of providing on-
demand coverage in next-generation mobile communication system. However, resource …

[HTML][HTML] Container allocation in cloud environment using multi-agent deep reinforcement learning

T Danino, Y Ben-Shimol, S Greenberg - Electronics, 2023 - mdpi.com
Nowadays, many computation tasks are carried out using cloud computing services and
virtualization technology. The intensive resource requirements of virtual machines have led …

Stochastic delay guarantees for devices with dual connectivity

M Prakash, A Abdrabou… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Dual connectivity (DC) is a feature that allows dual-wireless interface devices to concurrently
utilize radio resources from two different wireless network technologies. The aggregate data …

Rate Control for RIS-Empowered Multi-Cell Dual-Connectivity HetNets: A Distributed Multi-Task DRL Approach

A Alwarafy, M Abdallah, N Al-Dhahir… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Heterogeneous wireless networks (HetNets), where networks are deployed with ultra-dense
small cells (SCs), is one of the main enabling technologies for future wireless networks. In …

DRL-Based joint RAT association, power and bandwidth optimization for future HetNets

A Alwarafy, BS Ciftler, M Abdallah… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Multi-radio access technologies (RATs) networks, where various heterogeneous networks
(HetNets) coexist, are in service nowadays and considered a main enabling technology for …

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

M Khani, S Jamali, MK Sohrabi… - Transactions on …, 2024 - Wiley Online Library
This paper reviews recent research on resource allocation in 5G cloud‐based radio access
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …

[HTML][HTML] Augmented Lagrangian-Based Reinforcement Learning for Network Slicing in IIoT

Q Qi, W Lin, B Guo, J Chen, C Deng, G Lin, X Sun… - Electronics, 2022 - mdpi.com
Network slicing enables the multiplexing of independent logical networks on the same
physical network infrastructure to provide different network services for different applications …

DDPG with Transfer Learning and Meta Learning Framework for Resource Allocation in Underlay Cognitive Radio Network

N Mishra, S Srivastava, SN Sharan - Wireless Personal Communications, 2023 - Springer
Cognitive Radio (CR) is an intelligent device equipped with a Cognitive Engine (CE)
capable of making decisions and finding the best policy for a dynamic network. Superior …