1887

Abstract

Abstract

Spectrum sensing is one of the most important tasks of cognitive radios (CRs) in future wireless systems and of user equipment (UE) in next generation wireless networks (NGWNs). Therefore, deciding whether a specific portion of radio frequency (RF) spectrum is occupied or not is of paramount importance for all sorts of future wireless communications systems. In this study, a spectrum sensing method that employs a second–order statistical approach is proposed for detecting fast fading signals in spatially correlated shadowing environments. Analysis and performance results are presented along with the discussion related to the performance comparison of the energy detection method.

Loading

Article metrics loading...

/content/papers/10.5339/qfarf.2010.CSP1
2010-12-13
2020-10-20
Loading full text...

Full text loading...

References

  1. S. Yarkan, K. Qaraqe, A second-order statistical method for spectrum sensingin correlated shadowing and fading environments, QFARF Proceedings, 2010, CSP1.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.5339/qfarf.2010.CSP1
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error