A Genetic Approach to Radio Network Optimization for Mobile Systems
Résumé
One of the issues a telecommunication vendor must face when deploying a cellular network is the selection of good locations for base transceiver stations (BTSs). Roughly speaking, the problem comes down to finding out the best possible sites for BTSs, while guaranteeing that all --or at least a given percentage of-- the traffic can be served and that the global cost of the radio network is kept at a minimum. Several approaches are currently being investigated to achieve this goal in the STORMS project. This paper describes one of these, which combines computational techniques taken from the graph theory domain together with bio-inspired algorithms.
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