FAQ: A fuzzy-logic-assisted Q learning model for resource allocation in 6G V2X

M Zhang, Y Dou, V Marojevic… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This research proposes a dynamic resource allocation method for vehicle-to-everything
(V2X) communications in the sixth generation (6G) cellular networks. Cellular V2X (C-V2X) …

Fuzzy logic-based resource allocation algorithm for V2X communications in 5G cellular networks

M Zhang, Y Dou, PHJ Chong… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this paper, we spotlight vehicle-to-everything (V2X) communications in 5G cellular
networks. Cellular V2X (C-V2X) communications in 5G enable more advanced services with …

QoS based deep reinforcement learning for V2X resource allocation

S Bhadauria, Z Shabbir… - … Black Sea conference …, 2020 - ieeexplore.ieee.org
The 3rd generation partnership project (3GPP) standard has introduced vehicle to
everything (V2X) communi-cation in Long Term Evolution (LTE) to pave the way for future …

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 …

A Deep Reinforcement Learning-based Two-dimensional Resource Allocation Technique for V2I communications

H Jin, J Seo, J Park, SC Kim - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a two-dimensional resource allocation technique for vehicle-to-
infrastructure (V2I) communications. Vehicular communications requires high data rates, low …

DRL‐based intelligent resource allocation for diverse QoS in 5G and toward 6G vehicular networks: a comprehensive survey

HTT Nguyen, MT Nguyen, HT Do… - Wireless …, 2021 - Wiley Online Library
The vehicular network is taking great attention from both academia and industry to enable
the intelligent transportation system (ITS), autonomous driving, and smart cities. The system …

A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks

SM Waqas, Y Tang, F Abbas, H Chen… - Expert Systems with …, 2023 - Elsevier
Resource management in the next-generation vehicle-to-everything (V2X) communication
networks is a demanding research problem. It is difficult to achieve the best results if the …

Fine-grained management in 5G: DQL based intelligent resource allocation for network function virtualization in C-RAN

C Zhang, M Dong, K Ota - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Recently, the installation of 5G networks offers a variety of real-time, high-performance and
human-oriented customized services. However, the current laying 5G structure is unable to …

Genetic algorithm based resource allocation for V2X communications

I Brahmi, H Koubaa, F Zarai - 2020 IEEE Eighth International …, 2020 - ieeexplore.ieee.org
Vehicle-to-Everything (V2X) networks were introduced by the Third Generation Partnership
Project (3GPP) in Long Term Evolution (LTE) Release 14 and Release 15 in order to …

Fuzzy matching learning for dynamic resource allocation in cellular V2X network

C Fan, B Li, Y Wu, J Zhang, Z Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Benefiting from the global deployment and fast commercialization of cellular systems,
cellular-enabled vehicle-to-everything (V2X) opens up a significant prospect in the …