Characterization of 802.11n wireless LAN performance via testbed measurements and statistical analysis

Lito Kriara, Mahesh K. Marina, Arsham Farshad

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

Abstract

The 802.11n standard introduces a number of new MAC and PHY features to achieve high throughput and reliability. We conduct a comprehensive characterization of 802.11n performance with respect to its constituent features across a wide variety of scenarios with the aid of 802.11n wireless LAN testbed based measurements and statistical techniques including regression analysis. Our results show that different 802.11n features are interdependent when optimizing performance metrics such as throughput; the nature of interdependence as well as their relative impact are scenario dependent. We show the feasibility of online sender-side interference type detection, a key part of identifying the operational scenario for comprehensive 802.11n link adaptation, via a supervised machine learning based classifier. Finally, we highlight the unfairness problem of 802.11n networks that is linked to the frame aggregation feature.
Original languageEnglish
Title of host publication10th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2013
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages158-166
Number of pages9
ISBN (Print)978-1-4799-0230-9
DOIs
Publication statusPublished - 2013

Keywords

  • Antennas
  • Binary phase shift keying
  • IEEE 802.11n Standard
  • Nickel
  • Software measurement
  • Xenon

Fingerprint

Dive into the research topics of 'Characterization of 802.11n wireless LAN performance via testbed measurements and statistical analysis'. Together they form a unique fingerprint.

Cite this