Impact of Localization Errors on Wireless Channel Prediction in Mobile Robotic Networks

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Provided by: University Of California, San Diego (Calit2)
Topic: Mobility
Format: PDF
In this paper, the authors are interested in understanding and mathematically characterizing the impact of localization errors on wireless channel prediction in mobile robotic networks. They take the increase of the channel prediction error variance due to localization errors as their metric and analyze it in different communication environments. In particular, they show that this metric is monotonically increasing with respect to the path loss exponent and/or the standard deviation of shadowing, and is monotonically decreasing with respect to the standard deviation of multipath.
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