Network slicing based learning techniques for iov in 5g and beyond networks

W Hamdi, C Ksouri, H Bulut… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …

A comprehensive survey of massive‐MIMO based on 5G antennas

S Senger, PK Malik - International Journal of RF and Microwave …, 2022 - Wiley Online Library
The rapid increase in the innovation of fifth‐generation (5th G) technology is a critical
indicator of an explosion in technologies that satisfy everyday needs, and antennas for 5G …

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 …

Fair and efficient resource allocation via vehicle-edge cooperation in 5G-V2X networks

MN Avcil, M Soyturk, B Kantarci - Vehicular Communications, 2024 - Elsevier
To cope with safety risks and operational efficiency problems, it is of paramount importance
to ensure high data rates and meet the latency requirements in Connected and Autonomous …

A machine learning solution for video delivery to mitigate co-tier interference in 5G HetNets

D Anand, MA Togou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The exponential demand for multimedia services is one reason behind the substantial
growth of mobile data traffic. Video traffic patterns have significantly changed in the past two …

Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers

YF Coutinho, Â Camponogara… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In this paper, we review the current state-of-the-art of resource allocation for power line
communication systems. The study systematically presents the advancements achieved in …

Optimizing Time-Sensitive Software-Defined Wireless Networks With Reinforcement Learning

H Joo, S Lee, S Lee, H Kim - IEEE Access, 2022 - ieeexplore.ieee.org
Even though wireless networks are inevitable in mobile or infrastructure-less communication
systems, such as vehicle-to-everything (V2X) infrastructure in automobile, precise formation …

Quality of service based resource allocation in D2D enabled 5G-CNs with network slicing

L Nadeem, Y Amin, J Loo, MA Azam, KK Chai - Physical Communication, 2022 - Elsevier
With the rapid new advancements in technology, there is an enormous increase in devices
and their versatile need for services. Fifth-generation (5G) cellular networks (5G-CNs) with …

Enhancing Network Slicing Efficiency in Self-Organizing Networks Using Quantum Computing

AR Borah - 2023 4th International Conference on Smart …, 2023 - ieeexplore.ieee.org
With the proliferation of mobile devices and the growing demand for diverse applications,
network operators are facing significant challenges in efficiently managing and optimizing …

An optimal algorithm for energy harvesting in optical networks

L Al-Tarawneh - Optical Fiber Technology, 2023 - Elsevier
Optical fiber cables, which make up the majority of the world's telecommunications
infrastructure, now carry the vast majority of digital data. However, because to the Internet's …