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Mobility patterns in microcellular wireless networks
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DOI：10.1109/TMC.2006.13.png)
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Abstract
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This study investigates mobility patterns in microcellular wireless networks, based on measurements from the 802.11-based system that blankets the Carnegie Mellon University campus. We characterize the distribution of dwell time, which is the length of time that a mobile device remains in a cell until the next handoff, and sign-on interarrival time, which is the length of time between successive sign-ons from the same mobile device. Many researchers have assumed that these distributions are exponential, but our results based on empirical analysis show that dwell time and sign-on interarrival time can be accurately described using heavy-tailed arithmetic distributions that have infinite mean and variance. We also show that the number of handoffs per sign-on can be modeled accurately with a heavy-tailed distribution.
Keywords:
microcellular networks
mobility model
dwell time
call interarrival time
number of handoffs per sign-on
heavy-tailed distribution
long-range dependence
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