Wireless Channel Models-Coping with Complexity

  • An Mei Chen
  • Ramesh R. Rao
Part of the The International Series in Engineering and Computer Science book series (SECS, volume 524)


In this work we explore two techniques to capture the behavior of wireless channels with mathematically tractable models. The first technique involves state-space aggregation to reduce a large number of states of a Markov chain to a fewer number of states. The property of strong and weak lumpability is discussed. The second technique involves stochastic bounding. These techniques are applied to three different previously published wireless channel models: mobile VHF, wireless indoor, and Rayleigh fading channels. Results show that our stochastic bounding technique can produce simple yet useful upper bounds for the original channel model. We investigate the goodness of these bounds through the performance of higher-layer error control protocols such as stop-and-go and TCP.


Markov Chain Hazard Rate Channel Model Sojourn Time Probability Transition Matrix 
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© Kluwer Academic Publishers 2002

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  • An Mei Chen
  • Ramesh R. Rao

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