NDLI: A field strength prediction model based on artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Neskovic, A. Neskovic, N. Paunovic, D.
Copyright Year	1998
Description	Author affiliation: Sch. of Electr. Eng., Belgrade Univ., Serbia (Neskovic, A.)
Abstract	A new field strength prediction model for mobile phone environment is presented. The model is based on the principles of very popular feedforward neural networks-multilayer perceptron. The implementation of this model relies on two databases: (1) a terrain elevation database and (1) a groundcover ("clutter") database. In order to build the model, extensive field strength measurements were carried out in a wide area of Belgrade, Yugoslavia, a typical European town of a size of 2 million inhabitants. CW signals of several actual transmitters operating in the 450 MHz and 900 MHz frequency bands were measured. Over 1,500,000 records of signal level versus position were collected. A comparison between data obtained by the field strength prediction, based on the proposed model and measurement data not taken into account during the development of this model, has shown that the proposed model is fast, accurate and reliable.
Starting Page	420
Ending Page	424
File Size	570601
Page Count	5
File Format	PDF
ISBN	0780338790
DOI	10.1109/MELCON.1998.692456
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-18
Publisher Place	Israel
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Databases Mobile handsets Artificial neural networks Neural networks Feedforward neural networks Area measurement Size measurement Cities and towns Transmitters
Content Type	Text
Resource Type	Article

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