Application of artificial intelligence techniques for dynamic channel allocation on wireless networks. / Aplicação de técnicas de inteligência artificial na alocação dinâmica de canais em redes sem fio.
AUTOR(ES)
Daniel Gibilini
DATA DE PUBLICAÇÃO
2006
RESUMO
In the last years, mobile networks became more important for communication systems infrastructure. One area of great growth is mobile computation, which is performed through radio signals. The amount of available channels rarely is enough to attend the increasing demand. This work presents a solution for the channel allocation topic, a challenging topic inside mobile networks area. The implementation of dynamic allocation using classic computational techniques improves the use of available resources, but it needs periodic and frequent adjustments for new scenarios. The construction of a more flexible and adaptable system was achieved using Artificial Intelligence techniques. Proposed model combines Fuzzy Logic, Artificial Neural Networks and Multi-Agents Systems. Features of each technique had been analyzed and we identified the system modules which could be benefited by them. The system is the result of coordinated combination of these three techniques, and constitutes an efficient and flexible method for radio resources management. After model detailing, we executed a cellular network simulation using proposed system, and its behavior is compared with a reference network, presenting reached differences and improvements. Finally, we present current situation of this research and possible ways for system improvement.
ASSUNTO(S)
artificial intelligence distributed systems sistemas distribuídos redes sem fio dynamic channel allocation artificial neural networks fuzzy logic inteligência artificial sistemas multi-agentes teoria nebulosa alocação dinâmica de canais multi-agents systems redes neurais artificiais wireless networks
