Modelling gsm handover by artificial neural network
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Abstract (EN)
Handover is the most important procedure that provides continuous communication inwireless communication system. Handover is the process of transferring a mobile stationfrom one base satiton or channel to another base station or channel. Handover algorithms aremodelled to achieve this process completely. Due to complexity of the handover, algorithmshave a lot of types and features. ANN is can be used to improve the performance of thealgorithm that has a lot of inputs. In this project the handover fundamentals, propogationmodels and fundamentals,handover algorithms are analysed and a basic ANN algorithmmodel is introduced.Key Words: Handover, handover algorithms, propogation models, cell models, path loss,shadowing, ANN
Author
Osman Büyükeroğlu
Institution
How to Cite
Osman Büyükeroğlu (Master Thesis). Modelling gsm handover by artificial neural network, 2006, Yıldız Technical University.
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