A novel scheme for performing wireless distributed computing with strip spectral correlation algorithm
Various techniques are introduced for cognitive radio (CR) technology to perform on the spectrum sensing. The most important factor to distinguish between these techniques is the accuracy. However, computational complexity, consumed power and sensing duration are increasing proportionally with t...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/31947/ http://irep.iium.edu.my/31947/1/1569774731.pdf |
| Summary: | Various techniques are introduced for cognitive radio
(CR) technology to perform on the spectrum sensing. The most
important factor to distinguish between these techniques is the
accuracy. However, computational complexity, consumed power
and sensing duration are increasing proportionally with the
higher accuracy rate. Cyclostationary feature detection is one of
those accurate and computationally taxing approaches. To the
best of our knowledge, this paper can be considered as the first
research for applying wireless distributed computing (WDC)
with spectrum sensing which introduces a novel technique to
reduce the complexity of one of the practical methods used in
cyclostationary feature detection i.e. the strip spectral correlation
algorithm (SSCA) by performing WDC. First, the paper
demonstrates the capability of distributing the workload for
computing the spectral correlation function (SCF) between the
cooperative CRs. Second, it discusses the channel effect on the
reliability of SCF. |
|---|