Optimizing revenue in CDMA networks under demand uncertainty |
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Authors: | Eli V. Olinick Jay M. Rosenberger |
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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 |
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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. |
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Keywords: | OR in telecommunications Nonlinear programming Stochastic programming |
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