Multi-technology cooperative driving: An analysis based on PLEXE

M Segata, RL Cigno, T Hardes… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Cooperative Driving requires ultra-reliable communications, and it is now clear that no
single technology will ever be able to satisfy such stringent requirements, if only because …

A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular Networks

A Pashazadeh, G Nardini, G Stea - Future Internet, 2023 - mdpi.com
In recent years, the need for computation-intensive applications in mobile networks requiring
more storage, powerful processors, and real-time responses has risen substantially …

A novel traffic characteristics aware and context prediction protocol for intelligent connected vehicles

MB Younes, A Boukerche - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Digital maps have been installed and attached to vehicles recently. They help with the GPS
receivers to determine the relative locations of vehicles to other existing traffic and objects …

Driving under influence: Robust controller migration for MEC-enabled platooning

C Ayimba, M Segata, P Casari, V Mancuso - Computer Communications, 2022 - Elsevier
Connected cars are becoming more common. With the development of multi-access edge
computing (MEC) for low-latency applications, it will be possible to manage the cooperative …

I move U move: V2X-enabled wireless towing

C Ayimba, V Sciancalepore… - AI6G 2022: First …, 2022 - dspace.networks.imdea.org
As smart connected vehicles become increasingly common, their ability to provide
enhanced services has improved. One such service is the emergency transport of drivers in …

Machine learning algorithms for provisioning cloud/edge applications

C Ayimba - 2022 - dspace.networks.imdea.org
Reinforcement Learning (RL), in which an agent is trained to make the most favourable
decisions in the long run, is an established technique in artificial intelligence. Its popularity …