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Semi-Markov Modeling for Body Area Networks

Chaganti, Vasanta; Hanlen, Leif; Lamahewa, Tharaka


Signal variation in Body Area Networks (BANs) is dominated by slow, macroscopic fading. The quantized (state) channel has long, and variable state-holding times. We motivate the use of a semi-Markov approach to model the quantized channel gain and show that for everyday activities and on-body (real-world) measurements this approach leads to tractable limits for state holding times and transition probability. We show that while activity does influence the parameters of the semi-Markov model, the...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Blind Timing and Carrier Synchronization in Decode and Forward Cooperative Systems
DOI: 10.1109/icc.2011.5963414


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