Temporal characterization and prediction of vr traffic: A network slicing use case

F Chiariotti, M Drago, P Testolina… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Over the past few years, the concept of Virtual Reality (VR) has attracted increasing interest
thanks to its extensive industrial and commercial applications. Currently, the 3D models of …

An open framework for analyzing and modeling XR network traffic

M Lecci, M Drago, A Zanella, M Zorzi - IEEE Access, 2021 - ieeexplore.ieee.org
Thanks to recent advancements in the technology, Augmented Reality (AR) and Virtual
Reality (VR) applications are gaining a lot of momentum, and they will surely become …

Temporal characterization of XR traffic with application to predictive network slicing

M Lecci, F Chiariotti, M Drago… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
Over the past few years, eXtended Reality (XR) has attracted increasing interest thanks to its
extensive industrial and commercial applications, and its popularity is expected to rise …

Adaptive Virtual Reality Streaming: A Case for TCP

DJ Vergados, A Michalas… - … on Network and …, 2023 - ieeexplore.ieee.org
Virtual reality (VR) is one of the applications with the most strict requirements in the
performance of next generation networks, since it requires both high throughput, low delay …

Studying cloud-based virtual reality traffic

ES Korneev, MV Liubogoshchev, EM Khorov - Journal of Communications …, 2022 - Springer
The traffic of cloud-based interactive virtual reality (VR) applications will significantly differ
from that typical of the modern Internet in terms of structure and quality of service …

An eXtended Reality Offloading IP Traffic Dataset and Models

DG Morín, D Medda, A Iossifides… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In recent years, advances in immersive multimedia technologies, such as extended reality
(XR) technologies, have led to more realistic and user-friendly devices. However, these …

Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning

N Keshtiarast, O Renaldi, M Petrova - IEEE Networking Letters, 2024 - ieeexplore.ieee.org
In this letter, we propose a novel Multi-Agent Deep Reinforcement Learning (MADRL)
framework for MAC protocol design. Unlike centralized approaches, which rely on a single …

A multipath scheduler based on cross-layer information for low-delay applications in 5G edge networks

B Zhao, W Yang, W Du, Y Ren, J Sun, Q Wu, X Zhou - Computer Networks, 2024 - Elsevier
Virtual Reality (VR) applications that require extremely low delay and high image quality are
widely used in online games and other 5G scenarios, becoming a hot research field in …

Artificial intelligence in vehicular wireless networks: A case study using ns-3

M Drago, T Zugno, F Mason, M Giordani… - Proceedings of the …, 2022 - dl.acm.org
Artificial Intelligence (AI) techniques have emerged as a powerful approach to make
wireless networks more efficient and adaptable. In this paper we present an ns-3 simulation …

How to Model Cloud VR: An Empirical Study of Features That Matter

E Korneev, M Liubogoshchev… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
A crucial component of an interactive Virtual Reality (VR) experience is high-quality, real-
time image rendering and display, which requires high-end hardware in VR headsets. Cloud …