Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Omar Nassef"'
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 10, Iss 1, p 21 (2021)
This paper presents a data driven framework for performance optimisation of Narrow-Band IoT user equipment. The proposed framework is an edge micro-service that suggests one-time configurations to user equipment communicating with a base station. Sug
Externí odkaz:
https://doaj.org/article/49d2b7d27300465098b7f5773ee2501f
Publikováno v:
IEEE Internet of Things Journal. 8:2540-2557
This article presents a data-driven framework for trajectory recommendation in automated and cooperative driving. The considered cooperative driving maneuver is lane-merge coordination, and while the trajectory recommendation can only be communicated
Autor:
Chia-Cheng Yen, Wenting Sun, Hakimeh Purmehdi, Won Park, Kunal Rajan Deshmukh, Nishank Thakrar, Omar Nassef, Adam Jacobs
Publikováno v:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium.
Publikováno v:
Computer Networks. 207:108820
Publikováno v:
PIMRC
In this paper, a framework for lane merge coordination is presented utilising a centralised system, for connected vehicles. The delivery of trajectory recommendations to the connected vehicles on the road is based on a Traffic Orchestrator and a Data