Models for Non-intrusive Estimation of Wireless Link Bandwidth

  • Jian Zhang
  • Liang Cheng
  • Ivan Marsic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2775)


Dynamics of link bandwidth of a wireless link, which changes frequently and abruptly due to the dynamic channel sharing, fading, and mobility, is of interest to adaptive network applications and communication protocols. This paper presents a novel approach to estimate wireless link bandwidth based on radio signal-to-noise ratio (SNR). Unlike traditional methods that send probe packets, our method is non-intrusive to the wireless network since in IEEE 802.11 wireless local area networks, SNR information is provided by the physical layer for the MAC- and upper layers’ functionality. Theoretical analysis and experimental observation indicate a nonlinear relationship between SNR and the wireless bandwidth. Based on this, nonlinear models using neural network and Bayesian inference methods are proposed and evaluated on data collected in 802.11b wireless networks. The effectiveness of our method under various environments and scenarios has been studied.


Medium Access Control Wireless Local Area Network Medium Access Control Layer Packet Error Rate Average Relative Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jian Zhang
    • 1
  • Liang Cheng
    • 2
  • Ivan Marsic
    • 1
  1. 1.Department of Electrical and Computer EngineeringRutgers UniversityPiscatawayUSA
  2. 2.Department of Computer Science and EngineeringLehigh UniversityBethlehemUSA

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