Demand-based Radio Network Planning of Cellular Mobile Communication Systems

This paper presents a demand-based engineering method for designing radio networks of cellular mobile communication systems. The proposed procedure is based on a forward-engineering method, the Integrated Approach to cellular network planning and is facilitated by the application of a new discrete population model for the traac description, the Demand Node Concept. The use of the concept enables the formulation of the transmitter locating task as a Maximal Coverage Location Problem MCLP, which i s w ell known in economics for modeling and solving facility location problems. For the network optimization task, we introduced the Set Cover Base Station Positioning Algorithm SCBPA, which is based on a greedy heuristic for solving the MCLP problem. Furthermore, we present the planning tool prototype ICEPT Integrated Cellular network Planning Tool, which is based on these ideas and show a rst result from a real world planning case.