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Next Generation Wireless Communications: Cognitive Radio
University of North Dakota (2017)
  • ADNAN QUADRI, University of North Dakota
  • Naima Kaabouch, University of North Dakota
Wireless networks and information traffic have grown exponentially over the last decade. Consequently, an increase in demand of radio frequency bandwidth has resulted. Recent studies have shown that with the current fixed spectrum allocation, there are spectrum holes that are not utilized all the time by the licensed users while other frequency channels, such as Wi-Fi, are heavily used. To efficiently utilize the radio spectrum, cognitive radio stands to be a promising solution as it will be reconfigurable, self-aware and efficient. This research aims to develop techniques that will allow a cognitive radio system to enhance the radio’s decision-making capabilities through sensing and learning from the surrounding radio frequency environment. The work studies different spectrum sensing techniques, learning algorithms, probabilistic and inference models to develop a cognitive radio which is more informed and frequency agile. Cognitive radios are expected to provide seamless connectivity at all times in any location.
  • Cognitive Radio,
  • Radio Spectrum,
  • Spectrum Sensning,
  • Wireless Networks
Publication Date
Spring March 2, 2017
Grand Forks, ND, USA
Citation Information
ADNAN QUADRI and Naima Kaabouch. "Next Generation Wireless Communications: Cognitive Radio" University of North Dakota (2017)
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