Applicability Investigation of Transmission Power Optimization Method for Concurrently Communicating Access-Points Using Channel Bonding and Non-Bonding in WLAN

Fatema Akhter, Nobuo Funabiki, Hendy Briantoro, Kwenga Ismael Munene, Mahbubur Rahman, Minoru Kuribayashi

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

Abstract

Nowadays, the IEEE 802.11n wireless local-area network (WLAN) has been widely used in the Internet access service due to simple installations, low cost devices, and easy extensions. A number of access-points (APs) are often installed in a service field, which may cause high radio interferences among wireless links and result in the poor performance. To address this problem in the dense WLAN, previously, we have proposed the transmission power optimization method for concurrently communicating APs when every AP uses the channel bonding (CB). CB can enhance the transmission capacity by bonding two adjacent channels into one. The method selects either the maximum or minimum power for each AP such that the average signal-to-interference ratio (SIR) among all the APs becomes largest, after the required receiving signal strength (RSS) is measured with the possible power combinations. However, it has been observed that the use of non-CB at APs sometimes offers the higher throughput when they are closely located. CB reduces the number of non-interfered channels and makes wireless links susceptible to interferences. In this paper, we investigate the applicability of the transmission power optimization method in the WLAN of three APs using both CB and non-CB. Extensive experiments were conducted under three network topologies using Raspberry Pi for APs and Linux PCs for hosts. The results confirmed the effectiveness of the method in any combination of CB and non-CB usage for the three APs.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Vocational Education and Electrical Engineering
Subtitle of host publicationStrengthening Engagement with Communities through Artificial Intelligence Application in Education, Electrical Engineering and Information Technology, ICVEE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665405997
DOIs
Publication statusPublished - 2021
Event4th International Conference on Vocational Education and Electrical Engineering, ICVEE 2021 - Virtual, Online, Indonesia
Duration: Oct 2 2021Oct 3 2021

Publication series

NameProceedings - 4th International Conference on Vocational Education and Electrical Engineering: Strengthening Engagement with Communities through Artificial Intelligence Application in Education, Electrical Engineering and Information Technology, ICVEE 2021

Conference

Conference4th International Conference on Vocational Education and Electrical Engineering, ICVEE 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period10/2/2110/3/21

Keywords

  • access point
  • channel bonding
  • Raspberry Pi
  • SIR
  • transmission power optimization
  • WLAN

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Education
  • Hardware and Architecture
  • Information Systems

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