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μ = stochastic error.
ε = stochastic error term.
μ it = Stochastic error term (Table 2).
Finally, ε i is a stochastic error component18.
u it : A stochastic error term, assumed to be i.i.d.i.d
Thus, the stability of the stochastic error system can be analyzed through its equivalent deterministic one.
The accuracy assessment is accomplished with help of exterior reference and stochastic error propagation.
The first model is a stochastic error (SE) model, where the CSIT error is Gaussian-distributed.
While for the case of stochastic error model, we maximize the outage constrained secrecy rate.
Two CSI error models, the deterministically bounded error model and the stochastic error model, are considered.
Two CSI error models, deterministically bounded error model and stochastic error model, were considered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com