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In models, the channel accommodated arachidonic acid, defining the binding site for the substrate of the catalyzed reaction.
In stochastic models, the channel characteristics are condensed to a statistical description, e.g., the power delay profile (PDP) [5 7].
Matolak et al[48] after performing measurements in five different cities, models the channel as Weibull fading channel.
In such models, the channel state can be viewed as the signals of the primary communication and the informed encoders can be viewed as cognitive users [11].
From the received signal power obtained through the models, the channel modeling module calculates received signal to interference plus noise ratio (SINR) for each wireless link.
In geometrical channel models, the channel impulse response is related to the location of scatterers, the location of which is chosen stochastically.
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Here, we model the channel efficiency with these basic steps.
We model the channel errors through Bit Error Rate (ber).
Given the channel transmission range classification, we can model the channel heterogeneity.
We adopt two frequency selective channel models for modeling the channel between each pair of transmit and receive antennas.
We use the Markov chain to model the channel state switching (see Figure 2).
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