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This constraint guarantees the convergence of the algorithm.
Equivalently, this constraint guarantees a primary user a maximum transmission rate of at least for at least a fraction of the time.
This constraint guarantees that the generation plus the purchased energy equals the sum of the consumed power, the sold energy, and the power loss.
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The first two constraints indicate the spectrum sensing and spectrum aggregation limitations respectively, and the last constraint guarantees the satisfactory of the SU's bandwidth requirement.
In the other words, IR constraint guarantees that the power plants would like to have a long-term relationship with the government.
Although long-term fairness constraint guarantees the user average performance, there may be cases where they remain off in many successive time slots.
The former constraint guarantees that enough slots are available for each node in each neighborhood (set of nodes bonded with topological constraints, i.e., a j ′ j = 1 ) to obey with the limit of t slots among all neighbors.
Such a constraint guarantees that the data symbols of user 1 can be taken from the mixture, regardless of how its channel estimation is mismatched, while the error is bounded by δ.
The first constraint guarantees that the covariance between EBV of stage i and EBV of all other stages is equal to zero and the second that a solution exists.
However, this constraint cannot guarantee sufficient protection of primary signals.
Being equivalent to the kinematic constraint guaranteeing stress continuity upon strain localization, Mohr's maximization postulate is adopted for the determination of the discontinuity orientation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com