---
res:
  bibo_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 experimental results have never
    been reported to the best of our knowledge. In this contribution we investigate
    the performance of a Markov model based CR system using simulative and experimental
    environments for its application in industrial systems.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Kaleem
      foaf_name: Ahmad, Kaleem
      foaf_surname: Ahmad
  - foaf_Person:
      foaf_givenName: Uwe
      foaf_name: Meier, Uwe
      foaf_surname: Meier
      foaf_workInfoHomepage: http://www.librecat.org/personId=1143
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Witte, Stefan
      foaf_surname: Witte
      foaf_workInfoHomepage: http://www.librecat.org/personId=1605
  bibo_doi: 10.1109/ETFA.2012.6489557
  dct_date: 2012^xs_gYear
  dct_isPartOf:
  - 'http://id.crossref.org/issn/978-1-4673-4735-8 '
  dct_language: eng
  dct_publisher: IEEE@
  dct_subject:
  - cognitive radio
  - Markov processes
  - radio spectrum management
  dct_title: Predictive Oppertunistic Spectrum Access Using Markov Models@
...