[PDF][PDF] Machine learning methods for future-generation wireless networks

M Hamdan - 2023 - core.ac.uk
The wireless communication systems, particularly the vehicle to everything (V2X) wireless
networks, take advantage of machine learning (ML) to improve and overcome the issues …

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 …

Self-adapted resource allocation in V2X communication

M Jamal, Z Ullah, M Abbas - Workshop Proceedings of the 19th …, 2023 - ebooks.iospress.nl
The intelligent transportation system (ITS) along with vehicular communications are making
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …

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 …

[HTML][HTML] Energy-efficient resource allocation based on deep Q-network in V2V communications

D Han, J So - Sensors, 2023 - mdpi.com
Recently, with the development of autonomous driving technology, vehicle-to-everything
(V2X) communication technology that provides a wireless connection between vehicles …

Random neural network based novel decision making framework for optimized and autonomous power control in LTE uplink system

A Adeel, H Larijani, A Ahmadinia - Physical Communication, 2016 - Elsevier
This paper presents a novel decision making framework for cognitive radio networks. The
traditional continuous process of sensing, analysis, reasoning, and adaptation in a cognitive …

[HTML][HTML] Intelligent Resource Allocation for V2V Communication with Spectrum–Energy Efficiency Maximization

C Xu, S Wang, P Song, K Li, T Song - Sensors, 2023 - mdpi.com
Aiming to address the limitations of traditional resource allocation algorithms in the Internet
of Vehicles (IoV), whereby they cannot meet the stringent demands for ultra-low latency and …

Deep reinforcement learning based wireless resource allocation for V2X communications

J Li, J Zhao, X Sun - 2021 13th International Conference on …, 2021 - ieeexplore.ieee.org
The shortage and low utilization of air-interface spectrum resources have always been the
bottleneck of the development of vehicle-to-everything (V2X) communications. In this paper …

Deep q-learning enabled wireless resource allocation for 5g network based vehicle-to-vehicle communications

S Wang, X Chai, X Song, X Liang - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) communication, a facilitator of intelligent transportation system
(ITS), requires effective cooperation among vehicles in vehicular environment. The major …

Energy-Efficient Resource Allocation for V2X Communications

Y Xu, L Zheng, X Wu, Y Tang, W Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The high mobility of automobiles causes channel estimation uncertainties in vehicle-to-
vehicle (V2V) communications. Moreover, scarce spectrum resources further bottlenecked …