Various technologies for optimizing video delivery in cellular networks have been presented in the past. QoE-based transport optimizations attempt to look for optimal solutions to provide the best overall user experience for a group of users to leverage constrained network bandwidth. However, the design of these optimizations varies widely. An attractive idea is to deploy these optimizations together and expect more gains. In this article, we describe the interworking of several optimization approaches to analyze the feasibility of one single framework combining different approaches. We provide a first design of the joint framework that best leverages the advantage of each optimization approach.

Analyzing the combination of different approaches for video transport optimization for next generation cellular networks

MUNARETTO, DANIELE;
2013

Abstract

Various technologies for optimizing video delivery in cellular networks have been presented in the past. QoE-based transport optimizations attempt to look for optimal solutions to provide the best overall user experience for a group of users to leverage constrained network bandwidth. However, the design of these optimizations varies widely. An attractive idea is to deploy these optimizations together and expect more gains. In this article, we describe the interworking of several optimization approaches to analyze the feasibility of one single framework combining different approaches. We provide a first design of the joint framework that best leverages the advantage of each optimization approach.
2013
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2718082
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 2
social impact