TY - GEN

T1 - Direct derivation of the gradient method for network utility maximization in broadcast channels and its application

AU - Joung, Heejin

AU - Mun, Cheol

AU - Ko, Jae Yun

AU - Yook, Jong Gwan

N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.

PY - 2011

Y1 - 2011

N2 - In broadcast channels, network utility maximization formulates a scheduling problem in order to maximize a sum of given utility functions. It is known that the network utility maximization is achieved if a gradient method is used. In this paper, however, we show that the network utility maximization is achieved only if a gradient method is used. That proves the equivalence between a problem formulated by the network utility maximization and a problem with a gradient method. The gradient method simplifies the object function of a scheduling problem by modifying utility functions to a gradient form, so that it makes easy to deal with the problem. We apply the gradient method to a problem with utility functions given by generalized proportional fairness. It is revealed that using the gradient method for the generalized proportional fairness is equivalent to applying a binomial approximation. Simulation results are presented with various scheduling parameters.

AB - In broadcast channels, network utility maximization formulates a scheduling problem in order to maximize a sum of given utility functions. It is known that the network utility maximization is achieved if a gradient method is used. In this paper, however, we show that the network utility maximization is achieved only if a gradient method is used. That proves the equivalence between a problem formulated by the network utility maximization and a problem with a gradient method. The gradient method simplifies the object function of a scheduling problem by modifying utility functions to a gradient form, so that it makes easy to deal with the problem. We apply the gradient method to a problem with utility functions given by generalized proportional fairness. It is revealed that using the gradient method for the generalized proportional fairness is equivalent to applying a binomial approximation. Simulation results are presented with various scheduling parameters.

UR - http://www.scopus.com/inward/record.url?scp=80051968182&partnerID=8YFLogxK

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U2 - 10.1109/VETECS.2011.5956391

DO - 10.1109/VETECS.2011.5956391

M3 - Conference contribution

AN - SCOPUS:80051968182

SN - 9781424483310

T3 - IEEE Vehicular Technology Conference

BT - 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings

T2 - 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring

Y2 - 15 May 2011 through 18 May 2011

ER -