Abstract
A new microcell prediction model for mobile radio environment is presented in this paper. The popular feedforward artificial neural networks (ANN) are used as an optimizing tool to build the model, making possible to overcome some important disadvantages of known, both deterministic and statistical prediction models. In order to build the model, extensive electric field strength measurements were carried out in the city of Belgrade, for four different test transmitter locations. The analysis of the model has shown that the proposed model is fast, accurate (on the order of the local mean measurements uncertainty), reliable and suitable for computer implementation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: AEUE - International Journal of Electronics and Communications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
