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Author Ahmad, K. ♦ Shrestha, G.M. ♦ Meier, U.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Real time systems ♦ Hidden Markov models ♦ Switches ♦ Quality of service ♦ Predictive models ♦ Data models ♦ Sensors
Abstract Cognitive radios (CR) can sense and detect temporarily available spectral holes for an opportunistic operation to improve the spectral efficiency and coexistence of industrial radio systems. It will be of particular interest for a CR system to apply predictive modeling in order to forecast the behavior of the coexisting environment. A secondary cognitive user shall use preemptive tuning of its operating parameters following the predictive model. However, a considerable challenge is to generate an accurate model and predict efficiently in order to meet strict time related requirements of industrial applications. Such predictive modeling has already gained some attention but real-time results are never reported. In this contribution we investigate real-time aspects of predictive modeling for its application in industrial CR systems.
Description Author affiliation: Institute Industrial IT OWL University of Applied Sciences, 32657 Lemgo, Germany (Ahmad, K.; Shrestha, G.M.; Meier, U.)
ISBN 9781457704352
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-07-26
Publisher Place Portugal
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457704345
Size (in Bytes) 695.47 kB
Page Count 6
Starting Page 105
Ending Page 110


Source: IEEE Xplore Digital Library