Abstract
This paper presents a novel concept of active radio spectrum profiling f or Cognitive Radio (CR) networks using evolutionary hypernetworks. Spectrum profiling enables cognitive radio nodes to abstract and predict usable spectrum opportunities in pre-defined P rimary Users ( PU) c hannels. T he PU
Highlights
Radio spectrum is a very valuable but scarce resource, especially when considering the overall picture of the existing wireless communication systems
In this paper we presented a novel radio spectrum profiling framework that is based on the evolutionary hypernetworks
It was shown that spectrum holes can be identified from primitive binary time series of spectrum sensing results and utilized for differentiating among the available channels for spectrum management
Summary
Radio spectrum is a very valuable but scarce resource, especially when considering the overall picture of the existing wireless communication systems This resource has not been utilized in the most efficient way which has resulted in spectrum scarcity and underutilization problems. The main cause for these problems is considered to be the fixed radio spectrum allocation strategies employed by the spectrum allocation authorities across the world Realization of these problems have resulted in the formulation of opportunistic and dynamic spectrum access concepts which are generally discussed in conjunction with the Cognitive Radio (CR) networks. Introduction of a new active radio spectrum profiling concept for PU channels characterization,. Analysis of CR ad hoc network performance with the new hypernetworks based active radio spectrum profiling concept.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EAI Endorsed Transactions on Cognitive Communications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
