Mobile telephony RF mapping using fuzzy-CMAC neural networks

In this work, an engineering solution to a very common problem in mobile telephony is proposed using the artificial neural networks theory. The radio frequency (RF) level mapping problem is described and some considerations about its solution are taken. The structures and operation details of CMAC and fuzzy-CMAC neural networks are also discussed and a solution to the above problem is derived. The steps needed to reach accurate and reliable results are depicted. Results obtained with real field data acquired by Telemig Cellular Company from Brazil are shown and a final analysis is made considering the performance achieved with the described approach. Finally, some improvements to the presented solution are proposed, as suggestions to continuing the current research.