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Planning Wireless Networks with Demand Uncertainty using Robust Optimization

Grit Claßen (classen***at***math2.rwth-aachen.de)
Arie M. C. A. Koster (koster***at***math2.rwth-aachen.de)
Anke Schmeink (schmeink***at***umic.rwth-aachen.de)

Abstract: An optimal planning of future wireless networks is fundamental to satisfy rising traffic demands jointly with the utilization of sophisticated techniques, such as OFDMA. Current methods for this task require a static model of the problem. However, uncertainty of data arises frequently in wireless networks, e. g., fluctuat- ing bit rate requirements. In this paper, robust optimization is applied to deal with uncertainty in the framework of optimization models. We propose a mathematical formulation for the planning of wireless networks with demand uncertainy. Further- more, computational results are presented to compare the robust formulation to its deterministic counterpart. The price of robustness is demonstrated regarding key parameters of networks that are subject to uncertainty.

Keywords: wireless network planning, robust optimization, integer programming

Category 1: Robust Optimization

Category 2: Applications -- OR and Management Sciences (Telecommunications )

Citation:

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Entry Submitted: 03/04/2011
Entry Accepted: 03/04/2011
Entry Last Modified: 12/05/2012

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