Title :
Bandwidth Allocation for a Revenue-Aware Network Utility Maximization
Author :
Mayer, David ; Barria, Javier A.
Author_Institution :
Imperial Coll. London, London
fDate :
7/1/2007 12:00:00 AM
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.
Keywords :
bandwidth allocation; computer networks; optimisation; bandwidth allocation; price-based mechanism; revenue optimization; revenue-aware network utility maximization; Bandwidth; Channel allocation; Constraint optimization; Costs; Councils; Delay; Distributed algorithms; Routing; Telecommunication traffic; Utility programs;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2007.070280