Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities

F Adelantado, M Ammouriova, E Herrera, AA Juan… - vehicles, 2022 - mdpi.com
Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …

Survey on using 5G technology in VANETs

J Balen, B Tomasic, K Semialjac… - 2022 45th Jubilee …, 2022 - ieeexplore.ieee.org
The fifth-generation of mobile networks (5G), is considered as a promising technology for
empowering the current communication mainly in mobile networks. The main advantages …

MANTRA: An edge-computing framework based on multi-armed bandit for latency-and energy-aware job offloading in vehicular networks

F Busacca, S Palazzo, R Raftopoulos… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
The optimization of job offloading procedures in modern vehicular networks is a problem of
utmost importance. In this regard, this paper proposes MANTRA, a distributed framework …

Integrazione di tecniche di Deep Reinforcement Learning all'Edge delle Reti 6G: Verso l'Ottimizzazione Intelligente delle Reti

R Raftopoulos - 2023 - tesidottorato.depositolegale.it
The rapid evolution of wireless communication technologies has led to the emergence of 6G
networks, which promise unprecedented levels of connectivity, capacity, and intelligence …

[PDF][PDF] Integrating Deep Reinforcement Learning in 6G Edge Environments: Towards Intelligent Network Optimization

R Raftopoulos - iris.unict.it
The rapid evolution of wireless communication technologies has led to the emergence of 6G
networks, which promise unprecedented levels of connectivity, capacity, and intelligence …