Throughput and per estimates harnessing link-layer measurements for indoor 802.11n WLAN

Bryan Ng, Y. F. Tan, S. W. Tan, S. W. Lee

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

The research work reported in this paper investigates if a Markov chain can model the throughput and packet error rate (PER) performance of off-the-shelf IEEE 802.11n wireless LAN network interface cards (NICs). We draw together uplink -downlink information from the NIC with a Markov chain to examine the performance of 802.11n within an indoor environment. Site measurements and point-estimates are taken and compared with the model predictions. Errors of less than 4% were recorded for the Markov model estimates while point-estimates recorded average errors of 9% both compared to site-measured throughput.

Original languageEnglish
Pages (from-to)135-145
Number of pages11
JournalComputer Standards & Interfaces
Volume34
Issue number1
DOIs
Publication statusPublished - Jan 2012
Externally publishedYes

Keywords

  • 802.11n
  • Markov
  • Measurement
  • WLAN

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