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 …
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 …
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 …
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 …
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 …
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) …
Mounting a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle (UAV) holds promise for improving traditional terrestrial network performance. Unlike conventional …
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 …
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 …