Author(s):
Gabor Fodor, Denio Mariz (Univ. Pernambuco), Igor Cananea (Univ. Pernambuco), Djamel Sadok (Univ. Pernambuco)
WoWMoM 2006
Download document:
Simulative Analysis of Access Selection Algorithms for Multi-access Networks (pdf)
Abstract:
It is expected that future wireless systems will consist of several distinct radio access technologies (including WCDMA/HSDPA, GSM/EDGE/GPRS, WLAN and others) forming a multi-access system that offers advanced voice and multimedia services. Previous works have shown that the combined capacity region of such systems depend on the service allocation policy that assigns user sessions to the available subsystems. The currently available service allocation policies typically operate off-line implying that the actual service mix is assumed to be known prior to the service allocation taking place. In this paper we consider the on-line problem according to which sessions arrive one after the other and no assumptions on the service mix can be made. We adopt four on-line bin-packing algorithms to the multi-access environment and study their performance by means of simulation in terms of the class-wise blocking probability and throughput. We find that the algorithm termed LessVoice provides the best performance in terms of the blocking probabilities and imposes the least slow down for elastic sessions.
Notice:
Copyright 2006 IEEE. Reprinted from WoWMoM 2006. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Ericsson's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
In order to read PDF files, you need to have Adobe® Acrobat® Reader® installed in your computer. You can download the latest Acrobat® Reader® for free from Adobe's website.
