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Throughput analysis of IEEE 802.11 WLANs with inter-network interferenceoa mark
  • Liu, Jingwei ;
  • Aoki, Takumi ;
  • Li, Zhetao ;
  • Pei, Tingrui ;
  • Choi, Young June ;
  • Nguyen, Kien ;
  • Sekiya, Hiroo
Citations

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Publication Year
2020-03-01
Publisher
MDPI AG
Citation
Applied Sciences (Switzerland), Vol.10
Keyword
Carrier-sensingIEEE 802.11InterferenceThroughput analysisWLAN
All Science Classification Codes (ASJC)
Materials Science (all)InstrumentationEngineering (all)Process Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer Processes
Abstract
Recently, we often see the environment where many one-to-one Wireless Local Area Networks (WLANs) exist in a small area. In this environment, the network throughput of certain WLAN reduces significantly because of the interference from other networks (i.e., inter-network interference). The inter-network interference is the effect of carrier-sensing activities when there are ongoing transmissions in neighbor networks. This paper presents analytical expressions using airtime concept, which newly take into account the inter-network interference, for network throughputs of WLANs. There are existing works that similarly address the WLAN's carrier-sensing duration. However, they either consider a simple interference model or assume the simultaneous transmission time is negligible. Different from them, we consider the significant impact of simultaneous transmission. As a result, our analytical model can precisely express each network carrier-sensing duration by subtracting the simultaneous transmission time. More specifically, we have successfully obtained each network throughput by expressing frame-existence probabilities concerning each network's End Device (ED). We also confirm the validity of the analysis by comparison with simulation. The analytical results and the simulation results agree well.
ISSN
2076-3417
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31232
DOI
https://doi.org/10.3390/app10062192
Fulltext

Type
Article
Funding
This work was supported by JSPS KAKENHI Grant Number 19K20251. Additionally, K. Nguyen is supported by the Leading Initiative for Excellent Young Researchers (LEADER) program from MEXT, Japan.
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Choi, Youngjune최영준
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