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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

11 December 2020
Armin Okic
Lanfranco Zanzi
Vincenzo Sciancalepore
A. Redondi
X. Costa
ArXivPDFHTML

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

2 / 2 papers shown
Title
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 Provisioning
Cyril Shih-Huan Hsu
Jorge Martín-Pérez
D. D. Vleeschauwer
K. Kondepu
L. Valcarenghi
Xi Li
Chrysa Papagianni
8
0
0
16 May 2023
ARENA: A Data-driven Radio Access Networks Analysis of Football Events
ARENA: A Data-driven Radio Access Networks Analysis of Football Events
Lanfranco Zanzi
Vincenzo Sciancalepore
A. Garcia-Saavedra
Xavier Costa Pérez
G. Agapiou
Hans D. Schotten
13
4
0
19 Oct 2020
1