Broadcast traffic queueing in OFDMA systems for spectrum efficiency and improved QoS provisioning

Maduranga Liyanage, Iwao Sasase

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

Abstract

A queueing model is proposed for multiuser systems for increased spectrum efficiency and better QoS provisioning. Broadcast services are quickly finding their way in to the IP domain and service providers need to introduce different traffic servicing models to handle these bandwidth intensive multimedia services. In an Orthogonal-frequency-division-multiple-access system, using conventional subcarrier per-user resource allocation method is inefficient. Here we present a two-stage queueing model where broadcast streaming traffic are aggregated by separate queues and processed in batches in the first-stage before propagating to the root queue. Modeling the general user traffic as an exogenous traffic source is also considered, which provides more delay performance improvement. The queueing framework is mathematically analyzed for average delay performances. Simulation results validate that not only resource consumption is reduced, but system queue delays also show substantial reductions. The introduced queueing model provides a framework for handling broadcast traffic and to reduce its impact on total system throughput.

Original languageEnglish
Title of host publication2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
DOIs
Publication statusPublished - 2010 Dec 1
Event53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, FL, United States
Duration: 2010 Dec 62010 Dec 10

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other53rd IEEE Global Communications Conference, GLOBECOM 2010
Country/TerritoryUnited States
CityMiami, FL
Period10/12/610/12/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Broadcast traffic queueing in OFDMA systems for spectrum efficiency and improved QoS provisioning'. Together they form a unique fingerprint.

Cite this