Abstract
In this letter, we consider the Network Utility Maximization (NUM) problem in which a loss-related revenue indicator is set up by an operator as a constraint. We propose an algorithm which artificially modifies capacity constraints of a standard NUM algorithm. This results in a price-based mechanism that drives users into an operating point which maximizes total user utility for a given revenue indicator constraint.
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