New neural network based mobile location estimation in urban propagation models

Muhammad, J.; Hussain, A.; Ahmed, W.M.

Abstract

Location estimation finds its applications in many important decisions in cellular networks. Hand offs, cellular fraud detection and location sensitive billing are some of the examples. Many different techniques are currently in use. This work first gives an overview of conventional location estimation techniques and applications, and a new signal-strength based neural network technique is then presented. A mobile architecture based on a simulated urban environment is used to assess the generalization performance of the feed forward multi-layered perceptron (MLP) neural network.

Citation

Muhammad, J., Hussain, A., & Ahmed, W. (2003). New neural network based mobile location estimation in urban propagation models. . https://doi.org/10.1109/INMIC.2003.1416679

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 7th International Multi Topic Conference, 2003. INMIC 2003.
• Start Date: Dec 8, 2003
• End Date: Dec 9, 2003
• Online Publication Date: Apr 11, 2005
• Publication Date: 2003
• Deposit Date: Oct 17, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 146-150
• ISBN: 0-7803-8183-1
• DOI: https://doi.org/10.1109/INMIC.2003.1416679
• Keywords: Neural networks, Intelligent networks, Land mobile radio cellular systems, Telephony, Telephone sets, Cellular networks, Communication switching, Central office, Global Positioning System, Mathematical model
• Public URL: http://researchrepository.napier.ac.uk/Output/1793732