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Institute
Due to increasing digitalization, the wireless reading of utility meters is gaining in importance. In this paper, a mixed integer program is presented which models a network planning problem in terms of base-station locations vis-a-vis cost, reachability and several technical limitations. The goal of the model is to find a network configuration to remotely read battery driven utility meters at optimal total costs using various low power wide-area network radio frequency technologies. It will be shown how to considerably reduce the number of variables and constraints while retaining global optimality which allows to significantly reduce the computation time required for solving instances of the model.