Skip to Main Content (Press Enter)

Logo UNIRC
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Projects
  • Expertise & Skills

UNI-FIND
Logo UNIRC

|

UNI-FIND

unirc.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Projects
  • Expertise & Skills
  1. Outputs

User and Content Dynamics of Edge-Aided Immersive Reality Services

Academic Article
Publication Date:
2023
Short description:
User and Content Dynamics of Edge-Aided Immersive Reality Services / Chukhno, Olga; Galinina, Olga; Andreev, Sergey; Molinaro, Antonella; Iera, Antonio. - In: IEEE NETWORKING LETTERS. - ISSN 2576-3156. - 5:4(2023), pp. 227-231. [10.1109/lnet.2023.3286581]
abstract:
This letter presents a practice-inspired methodology for characterizing the user and content dynamics of extended reality (XR) services over wireless networks. The proposed approach is based on a fluid approximation to capture the time and space dynamics of XR content exchange during its transient phase while considering both radio communication and edge computing resources. Hence, our methodology provides an effective tool to support resource assignment for radio and computing in 5G and beyond networks, especially under non-stationary processes with time-varying traffic arrivals, such as those with a periodic arrival rate function
Iris type:
1.1 Articolo in rivista
List of contributors:
Chukhno, Olga; Galinina, Olga; Andreev, Sergey; Molinaro, Antonella; Iera, Antonio
Authors of the University:
Chukhno Olga
MOLINARO Antonella
Handle:
https://iris.unirc.it/handle/20.500.12318/152247
Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/152247/420444/Chuchno_2023_LNET_User_editor.pdf
Published in:
IEEE NETWORKING LETTERS
Journal
  • Overview

Overview

URL

https://ieeexplore.ieee.org/document/10153602
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.6.0.0