Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues

M Akrout, A Feriani, F Bellili… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …

Feature-based vehicle identification framework for optimization of collective perception messages in vehicular networks

H Masuda, O El Marai, M Tsukada… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The world is moving towards a fully connected digital world, where objects produce and
consume data, at a sultry pace. Autonomous vehicles will play a key role in bolstering the …

Meta-scheduling framework with cooperative learning towards beyond 5G

K Min, Y Kim, HS Lee - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel meta-scheduling framework with cooperative learning that
fully exploits a functional split structure of the base station (BS) consisting of a central unit …

[HTML][HTML] Performance evaluation of VANET routing protocols in Madinah city

MAR Abdeen, A Beg, SM Mostafa, AA AbdulGhaffar… - Electronics, 2022 - mdpi.com
Traffic management challenges in peak seasons for popular destinations such as Madinah
city have accelerated the need for and introduction of autonomous vehicles and Vehicular …

Resource scheduling of time-sensitive services for B5G/6G connected automated vehicles

Q Zhang, H Meng, Z Feng, Z Han - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Due to the shortage of spectrum resources in the Internet of vehicles, the diversified time-
sensitive services for beyond fifth generation/sixth generation connected automated vehicles …

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) …

Meta Reinforcement Learning for Resource Allocation in Aerial Active-RIS-assisted Networks with Rate-Splitting Multiple Access

S Faramarzi, S Javadi, F Zeinali, H Zarini… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Mounting a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle (UAV)
holds promise for improving traditional terrestrial network performance. Unlike conventional …

[HTML][HTML] Performance Evaluation of VANET using Directional Location Aided Routing (D-LAR) Protocol with Sleep Scheduling Algorithm

K Chandramohan, A Manikandan… - Ain Shams Engineering …, 2024 - Elsevier
Neighboring radio networks are those that do not instantly supply communications
infrastructure after deployment, have radio transceivers with restricted transmission range …

Geo-Based Resource Allocation for Joint Clustered V2I and V2V Communications in Cellular Networks

JS Alrubaye, BS Ghahfarokhi - IEEE Access, 2023 - ieeexplore.ieee.org
Cellular vehicle-to-everything (C-V2X) communications have gained traction as they can
improve safe driving, efficiency, and convenience. However, mobility and the rising number …