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$π$-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices
  in V2X Scenarios

πππ-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios

IEEE Conference on Computer Communications (INFOCOM), 2020
11 December 2020
Armin Okic
Lanfranco Zanzi
Vincenzo Sciancalepore
A. Redondi
X. Costa
ArXiv (abs)PDFHTML

Papers citing "$π$-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios"

4 / 4 papers shown
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis
Are you a robot? Detecting Autonomous Vehicles from Behavior AnalysisIEEE International Conference on Robotics and Automation (ICRA), 2024
Fabio Maresca
Filippo Grazioli
Antonio Albanese
Vincenzo Sciancalepore
Gianpiero Negri
Xavier Pérez Costa
267
3
0
14 Mar 2024
On the road to more accurate mobile cellular traffic predictions
On the road to more accurate mobile cellular traffic predictions
N. Vesselinova
90
1
0
24 May 2023
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service ProvisioningIEEE Transactions on Network and Service Management (TNSM), 2023
Cyril Shih-Huan Hsu
Jorge Martín-Pérez
D. D. Vleeschauwer
K. Kondepu
Xi Li
Xi Li
314
2
0
16 May 2023
OrchestRAN: Network Automation through Orchestrated Intelligence in the
  Open RAN
OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RANIEEE Conference on Computer Communications (INFOCOM), 2022
Salvatore D’oro
Leonardo Bonati
Michele Polese
Tommaso Melodia
225
108
0
14 Jan 2022
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