Computing the radio coverage for networks of FM or TV transmitters needs a lot of high performance computing resources. The client-server architecture of the Web allows the clients to work with these computing utilities by a Web-interface. But the hypertext language permits only limited interactivity for Web-applications. The programming language JAVA gives the complete interactive functionality to a graphical user interface embedded in Web-pages. The project described shows how a Wndows application can be exported on the Web. It is the Web-interface of the existing Windows application CECILIA developed by the TDF-C2R. This application computes and edits prediction maps of radio coverage

Future mobile systems will require huge radio network densities. Consequently, radio network planning and optimization may become a tedious problem. In this paper, a mathematical model of the radio network planning problem is proposed and results obtained with a software implementing this problem and working with real geographical data are discussed.

Size and complexity of future UMTS radio networks make their planning very difficult. This paper focuses on the radio coverage problem, that is, to cover a maximum surface of a given geographical region at an optimal cost. This combinatorial optimization problem is solved with a bioinspired genetic algorithm. A first prototype runs in parallel on a network of workstations. The obtained results are shown and discussed.

Future UMTS radio planning engineers will face difficult problems due to the complexity of the system and the size of these networks. In the STORMS project, a software for the optimisation of the radio network is under development. Two mathematical models of the radio planning problem are proposed. Two software prototypes based on these models are described with the first experimental and comparative results.