Network resource allocation for perceptually based unequal packet protection in voice communication

Steffen Prœstholm, Søren Skak Jensen, Søren Vang Andersen, Manohar N. Murthi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We address the problem of optimizing resource allocation for Perceptually based Unequal Packet Protection (PUPP) in a packet based voice carrying network. For that purpose, we design a novel real-time working Perceptually Based Classifier (PBC) optimizing the assignment of voice packets to either a Premium (Pch) or an Ordinary (Och) transmission Channel with regard to packet perceptual importance. In particular, our PBC is based on Sliding Window optimization (SWO) and implement PESQa, an improved method to real-time estimation of speech quality. Based on this PBC and a Differentiated Service (DS) implementation of the Pch/Och, objective results indicate that 70% premium packet assignments optimizes performance over a broad range of loss scenarios on a bottleneck link. Additionally, packet loss statistics gives a clear indication on criteria for optimizing PUPP Pch/Och.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesV437-V440
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period5/14/065/19/06

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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