Application of Power Control to Improve System Throughput in IEEE 802.11 WLAN

Szu Lin Su, Tsung Hsiu Chih, Yu Chia Wang

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

Abstract

This work aims to utilize capture effect to improve system throughput under a fair transmission environment for the IEEE 802.11 WLANs. In practice,when there is an access collision,the access point (AP) can still decode the corresponding data successfully if the received signal to interference plus noise ratio (SINR) is larger than a threshold. This phenomenon is called capture effect. To improve the system throughput,this work proposes a power control algorithm to take the advantage of capture effect. However,the proposed power control scheme cannot provide a fair transmission environment even though the system throughput increases. Therefore,this work also presents a method to adaptively adjust the transmission probability of each station in the contention window (CW) for fair transmission. In addition,this work adopts the non-orthogonal multiple access (NOMA) technique to further improve system throughput. The simulation results show that the proposed schemes can not only improve system throughput significantly,but also provide a fairer transmission environment.

Original languageEnglish
Title of host publicationProceedings - 2019 11th International Conference on Computational Intelligence and Communication Networks, CICN 2019
EditorsJason Levy, Geetam S. Tomar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-52
Number of pages7
ISBN (Electronic)9781538684399
DOIs
Publication statusPublished - 2019 Jan
Event11th International Conference on Computational Intelligence and Communication Networks, CICN 2019 - Honolulu, United States
Duration: 2019 Jan 32019 Jan 6

Publication series

NameProceedings - 2019 11th International Conference on Computational Intelligence and Communication Networks, CICN 2019

Conference

Conference11th International Conference on Computational Intelligence and Communication Networks, CICN 2019
Country/TerritoryUnited States
CityHonolulu
Period19-01-0319-01-06

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

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