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Optimizing revenue in CDMA networks under demand uncertainty
Authors:Eli V. Olinick  Jay M. Rosenberger
Affiliation:Department of Engineering Management, Information, and Systems, School of Engineering, Southern Methodist University, P.O. Box 750123, Dallas, TX 75275-0123, USA; Department of Industrial and Manufacturing Systems Engineering, University of Texas at Arlington, P.O. Box 19017 Arlington, TX 76019-0017, USA
Abstract:Mathematical programming models for telecommunications network design are prevalent in the literature, but little research has been reported on stochastic models for cellular networks. We present a stochastic revenue optimization model for CDMA networks inspired by bid pricing models from the airline industry. We describe the optimality conditions for the model and develop a supergradient algorithm to solve it. We provide computational results that show the effects of the distribution and variance of demand. Finally, we discuss areas of future research, including a method to optimize the locations of the towers.
Keywords:OR in telecommunications   Nonlinear programming   Stochastic programming
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