Analysis of IEEE 802.11 WLAN frame aggregation under different network conditions

Subhransu Das, Pushpendu Kar, Subhabrata Barman

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

12 Citations (Scopus)

Abstract

IEEE 802.11n and IEEE 802.11ac are called next generation Wireless LANs (WLANs) for their revolutionary improvement in performance. Two key techniques that enhance the performances of these standards are frame aggregation and Block Acknowledgement (BLOCK ACK). In this paper, we describe these techniques as well as establish an analytical relationship between saturation throughput of the network and other network parameters such as-Aggregation Size, Signal to Noise Ratio (SNR) etc. We validate our analysis using network simulator-3 (ns-3) simulations. Additionally, we examine the performance of frame aggregation and Block ACK mechanism using the same. The analysis and simulation led us to enlist some open issues regarding frame aggregation in the concluding section.

Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1240-1245
Number of pages6
ISBN (Electronic)9781509044412
DOIs
Publication statusPublished - 21 Feb 2018
Externally publishedYes
Event2nd IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017 - Chennai, India
Duration: 22 Mar 201724 Mar 2017

Publication series

NameProceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017
Volume2018-January

Conference

Conference2nd IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017
Country/TerritoryIndia
CityChennai
Period22/03/1724/03/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Media Technology
  • Computer Networks and Communications
  • Signal Processing
  • Health Informatics

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