NDLI: Robust real-time channel prediction based on inaccurate instantaneous measurements: an approach

Content Provider	IEEE Xplore Digital Library
Author	Klaue, J. Aguiar, A.
Copyright Year	2005
Description	Author affiliation: Telecommun. Networks Group, Technische Univ. Berlin, Germany (Klaue, J.; Aguiar, A.)
Abstract	The goal of this work is to show the feasibility of real-time signal strength prediction on the base of instantaneous channel measurements. In real-world systems, like currently available commercial WLAN equipment, the instantaneous signal levels can only be measured with little accuracy. They are affected by a lot of noise from different sources, the measurement hardware is often not calibrated and the sampling interval is coarse and varying. Channel prediction should therefore be able to deal with noisy and non-equidistant data. Furthermore, the algorithms should be relatively simple, since no complex hardware can be afforded for simple WLAN, Bluetooth or sensor systems. In this paper we introduce a prediction algorithm based on a simple artificial neural network. The algorithm is tested on signal strength values measured with a standard 802.11b WLAN card in various environment conditions. The prediction results are compared with a state-of-the-art channel prediction algorithm. We show that a simple artificial neural network can be used as a robust and comparatively accurate predictor.
Starting Page	530
Ending Page	534
File Size	860112
Page Count	5
File Format	PDF
ISBN	0780388674
DOI	10.1109/SPAWC.2005.1506081
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Wireless LAN Hardware Prediction algorithms Artificial neural networks Current measurement Noise measurement Sampling methods Bluetooth Sensor systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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