Abstract:In mobile network design, the challenge is to efficiently determine the locations of base control stations (BSCs), mobile switching centers (MSCs), and their connecting links for given locations of base transceiver stations (BTSs) so that a predefined objective function is satisfied. In this paper, a particle swarm optimization-(PSO-) based optimization engine is used to effectively lay out the network components and their interconnections such that the overall deployment cost is kept as low as possible. The performance of the PSO-based engine is then compared with a genetic algorithm-(GA-) based one. The simulation results show that the PSO-based optimization engine is able to successfully optimize the network deployment cost and significantly outperforms the GA-based optimization engine.

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