A two-phase resource allocation algorithm for densely deployed OFDMA WLANs

Taewon Song, Sangheon Pack

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

Abstract

One of the promising techniques to enhance MAC efficiency is orthogonal frequency division multiple access (OFDMA). Even though OFDMA-based WLAN allows multi-user transmissions, it requires a careful design of resource management particularly in densely deployed WLANs. To address this problem, we propose a two-phase resource allocation (TPRA) algorithm. In TPRA, an access points (AP) determines its operational carrier bandwidth and bandwidth by means of negotiating with the other APs to be distributed to its connected stations in the first phase. In the second phase, each AP distributes its allocated bandwidths to the associated stations. Numerical results prove that TPRA algorithm enhances throughput performances.

Original languageEnglish
Title of host publication2016 International Conference on Information and Communication Technology Convergence, ICTC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages631-633
Number of pages3
ISBN (Electronic)9781509013258
DOIs
Publication statusPublished - 2016 Nov 30
Event2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 - Jeju Island, Korea, Republic of
Duration: 2016 Oct 192016 Oct 21

Publication series

Name2016 International Conference on Information and Communication Technology Convergence, ICTC 2016

Other

Other2016 International Conference on Information and Communication Technology Convergence, ICTC 2016
Country/TerritoryKorea, Republic of
CityJeju Island
Period16/10/1916/10/21

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • OFDMA
  • Resource allocation
  • channel bonding
  • densely deployed WLAN

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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