Revamping the IEEE 802.11a PHY simulation models

  • Authors:
  • Jiho Ryu;Jeongkeun Lee;Sung-Ju Lee;Taekyoung Kwon

  • Affiliations:
  • Seoul National University, Seoul, South Korea;Hewlett-Packard Laboratories, Palo Alto, CA, USA;Hewlett-Packard Laboratories, Palo Alto, CA, USA;Seoul National University, Seoul, South Korea

  • Venue:
  • Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
  • Year:
  • 2008

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Abstract

In simulating wireless networks, modeling of the physical layer behavior is an important yet difficult task. Modeling and estimating wireless interference is receiving great research attention, and is crucial in a wireless network performance study. The implementation of physical layer capture, preamble detection, and carrier sense threshold plays an important role in successful frame reception in the presence of interference. We showed in our previous testbed study that the operations of the frame reception and the capture effect in real IEEE 802.11a systems differ from those of popular research simulators. We present our modifications of the IEEE 802.11a PHY models to the current simulators. The modifications can be summarized as follows. (i) The current simulators' frame reception is based only on the received signal strength. However, the real 802.11 systems can start the frame reception only when the Signal-to-Interference Ratio (SIR) is high enough to detect the preamble. (ii) Different chipset vendors implement the frame reception and capture algorithms differently, resulting in different operations for the same event. We provide different simulation models for several popular chipset vendors and show the performance differences between the models. (iii) The current simulators set the carrier sense threshold equal to the receiver sensitivity. The standard however states that it should be 20 dB higher than the receiver sensitivity. We implement our modifications to the QualNet simulator and conduct a wireless network performance study to evaluate the impact of PHY model implementation.