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As such, power updates from Block C can violate the interference constraint (3).
The amount of overhead increases with iterations, since the algorithm performs transmit/receive beamformer and power updates iteratively.
Interestingly, numerical simulations confirm that, when 0 ≤ n ≤ nexit, the difference between the power updates across the two schemes is negligible.
It is interesting to note that the power updates in Blocks B and C, generally, contract the powers to fulfill the different constraints, whereas Block A expand them.
The key idea of ELCI is to handle the different constraints separately, and further use a specific formulation for the iterative power updates based on the Karush Kuhn Tucker (KKT) conditions ([10], Section 5.5.3) of the problem.
The key idea of ELCI is to handle the different constraints separately, and further use a specific formulation for the iterative power updates based on the KKT conditions of the problem.
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Optimal transmit power update.
λ probability of transmit power update.
Block C: The power update in Block C satisfying the power constraint (4) is handled independently from the power update in Block B satisfying the interference constraint (3).
The three power update expressions (13 15) form the mathematical basis of ELCI.
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