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Efficient strategies for representing and evaluating the effect of propagation impairments on the performance of wireless communications systems

University of British Columbia

Current methods for assessing the effect of propagation impairments on the link-level performance of wireless communications systems either yield results that apply to certain specific channel conditions or only produce statistical summaries of system performance over a wider range of conditions. Here, we show that a polynomial response surface model can efficiently represent the bit error rate performance of a wireless communications system as a function of standard channel parameters. The result may be used as an complete yet compact equipment performance model useful in higher level system simulation or as an aid to visualization of system performance. When two channel parameters are considered, a fifth order polynomial is sufficient to model the bit error rate performance over a reasonable range of channel conditions. This implies that a complete description of system performance can be captured using just twenty-one parameters. Furthermore, compared to regular sampling, adaptive sampling of the response surface can significantly reduce the time and effort required to generate a response surface model from physical layer simulations. While the results presented here were generated by simulation, our response surface model and adaptive sampling method could also be applied to experimental methods that assess the link-level performance of wireless communications systems using RF channel emulators.

Text

2009-12-10

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http://hdl.handle.net/2429/16334

Electrical and Computer Engineering

University of British Columbia

UBCV

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