Analysis of user utility function in the combined cellular/WLAN environments

Jae Hwan Kim, Young Yong Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Recent advances in wireless networking technologies enabled nomadic users connected to the Internet anywhere from the outdoor environments such as airport, hotel, subway station, or university campus as well as conventional indoor uses. As wireless technologies evolve, multiple wireless access technologies have been adopted. Cellular service and wireless LAN are two most popular access methods currently. In this paper, we open up new aspect of user utility function [1] in the circumstances that nomadic users have access to multiple wireless access methods. In cellular networks with wireless LAN hotspots overlaid, users have to frequently switch among multiple access technologies. Our goal is to find optimal strategy for choosing among multiple access technologies in view of maximum user utility, i.e. the degree of user satisfaction. By taking user utility function into account, one can figure out whether the change of wireless link benefits for the user satisfaction or not. In addition, ISPs can also utilize the concepts for the design of overlaid wireless network architectures to guarantee some appropriate level of user satisfaction. Mathematical derivation of user utility and numerical examples are provided for our proposal.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsChin-Wan Chung, Chong-Kwon Kim, Won Kim, Tok-Wang Ling, Kwan-Ho Song
PublisherSpringer Verlag
Pages725-730
Number of pages6
ISBN (Print)3540404562
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2713
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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