Wireless user estimation using artificial neural networks
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
Publication Date
1-25-2016
Abstract
© 2015 IEEE. Mobile devices, with the improving trend of smartphone use, is an area of study for human behavior on wireless data communications systems which serves as the converging focal point. The prediction of user quantities with non-intrusive data gathering in wireless communications trends and the correlation of Wi-Fi characteristics with quantity are important links towards data aggregation technique developments. To estimate user load in wireless connection systems, multi-layer feed forward artificial neural network based on BP algorithm is proposed and implemented with MATLAB to aid in optimization of performance in such networks. Error calculation, test, validation, and training performance are evaluated for the algorithm's applicability.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393180
Recommended Citation
Abinoja, D., Bedruz, R., Jovellanos, K., & Bandala, A. A. (2016). Wireless user estimation using artificial neural networks. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393180
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