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Crystal structures of two Sec61 homologues were used to model the channel.
The Fourier coefficients are calculated correctly to derive the potential equations that are further used to model the channel current and subthreshold slope of the device.
To the best of our knowledge this is the first attempt to model the channel heterogeneity into the formulation of spectrum sharing in cognitive radio networks.
In this paper, we model the channel heterogeneity and present a cross-layer optimization framework which jointly considers the spectrum sharing and routing with the objective of maximizing the fairness ratio.
Here, we model the channel efficiency with these basic steps.
We model the channel errors through Bit Error Rate (ber).
We use the Markov chain to model the channel state switching (see Figure 2).
The functions in (14) model the channel time behavior as polynomial in time.
Given the channel transmission range classification, we can model the channel heterogeneity.
Receivers for single-carrier signals typically model the channel as a tapped delay line.
entries for all to model the channel as Rayleigh fading with uncorrelated transmit and receive antennas.
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