Edge Station Throughput Enhancement Method Based on Energy Detection Threshold and Transmission Power Joint Dynamic Adjustment

Fenglian Lan, Bo Li, Mao Yang, Zhongjiang Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the surge in demand for wireless traffic and network quality of service, wireless local area network (WLAN) has developed into one of the most important wireless networks affecting human life. In high density scenarios, large numbers of Access Point (APs) and Stations(STAs) will be deployed in a limited area, means large amount of signals will be overlapped and coverage between Basic Service Sets (BSSs), interference and collisions will become more severe, and if the sensitivity of edge STA detection channel is not enough, such as the energy detection (ED) threshold and reception sensitivity mismatch of STAs, edge STA’s throughput may slow down seriously. So in this paper, we propose an edge STA throughput enhancement method based on ED threshold and TXPower joint dynamic adjustment to solve the problem of edge STA deceleration caused by ED threshold and reception sensitivity mismatch. By appropriately adjusting the ED threshold and TXPower of the BSSs with deceleration edge STAs, improving the sensitivity of edge STAs detection channel, and opportunity of edge STA’s transmission packet is not greatly affected. Through the method of establishing mathematical model and simulation verification, it has great practical significance.

Original languageEnglish
Title of host publicationSmart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings
EditorsDer-Jiunn Deng, Han-Chieh Chao, Jyh-Cheng Chen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages227-240
Number of pages14
ISBN (Print)9783031312748
DOIs
StatePublished - 2023
Event6th International Conference on Smart Grid and Internet of Things, SGIoT 2022 - TaiChung, Taiwan, Province of China
Duration: 19 Nov 202220 Nov 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume497 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference6th International Conference on Smart Grid and Internet of Things, SGIoT 2022
Country/TerritoryTaiwan, Province of China
CityTaiChung
Period19/11/2220/11/22

Keywords

  • ED threshold
  • Edge STA
  • Joint dynamic adjustmented
  • Throughput enhancement
  • TXPower

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