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Thus, we elucidate a steric inhibition mechanism for this important class of channels by mercury.
First, we will examine Rayleigh flat fading channels, the simplest class of channels.
For that class of channels, it has been shown that dirty paper coding [13] with Gaussian signalling can achieve every point in the capacity region [4].
Using this Markovian property, a coding scheme that can attain every point in the capacity region for this class of channels was developed in [2].
We establish the common message secrecy capacity of this channel, which is a generalization of the corresponding capacity result in [8] to a broader class of channels.
Consequently, this ordered class of channels is a subset of the class for which we establish the common message secrecy capacity.
Similar(45)
These channel models contain the class of channel models studied in [8] as a special case.
Since all model parameters are constants, there is no meaning to examine the stationary and ergodic properties of this class of channel simulators.
The mean m μ ̂ ( t ) of this class of channel simulators is given by m μ ̂ ( t ) = m c r μμ ( t ) 2 σ μ 2 ∑ n = 1 N e j θ n. (37).
For this class of channel simulators, it is straightforward to show that the mean m μ ̂ ( t ) of the stochastic process μ ̂ ( t ) is constant and equal to zero, i.e., m μ ̂ = 0. From (38), we can easily obtain the ACF r μ ̂ μ ̂ for this class of channel simulators by taking into account the random characteristics of the phases θ n, i.e., r μ ̂ μ ̂ = N ( σ c 2 + m c 2 ) 2 σ 0 2 r μμ.
From the equation above, it follows that the ACF r μ ̂ μ ̂ ( t 1, t 2 ) depends only on the time difference τ=t2−t1 if we impose on this class of channel simulators any of the boundary conditions m c =0 or (27).
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