Abstract
In this paper, we consider an optimization of number of secondary users (SUs) in a cooperative spectrum sensing by maximizing the energy efficiency of the cognitive radio network. We obtain the mathematical expressions for number of SUs using OR and AND fusion rules at the fusion center. We consider energy detector as an example for the analysis, based on the analysis we show that performance obtained for OR rule is better than the AND rule.
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Appendices
Appendix A
Proof of Proposition 1
Let us consider a function G as
where \(\rho _{OR}\) is a positive constant.
Optimal number of cooperative secondary users using OR fusion rule can be calculated by differentiating Eq. 22 with respect to L and equating to zero
The above equation can be simplified as
It is difficult to calculate the L value from the above equation. So, to derive the L value the term \(\rho _{OR}\) (\(e_1\) + \(e_2\)) is neglected.It does not make much difference and the approximated value of L is given by
\(L^*_{OR}\) gives the optimal number of cooperative secondary users for OR fusion rule.
The optimal number of cooperative secondary users is always greater than or equal to one and \(ln(P_m/1-P_f)\) is also greater than zero, then
The positive constant (\(\rho _{OR}\)) is derived from (27) as
According to Bi-section algorithm \(\rho\) value is derived by considering \(\rho _{OR} = [\rho _{1,OR}, \rho _{2,OR}]\) and assuming the initial value of \(\rho _{1,OR} = 0\) and
Now at
The optimal number of cooperative secondary users for OR fusion rule is \(L^*_{OR}\)
Appendix B
Proof of Proposition 2
Let us consider a function K as
To derive the value of optimal number of cooperative secondary users L, differentiate (30) with respect to L and equate to zero
The above equation can be simplified as
By neglecting the term \(\rho _{AND}\).(\(e_1\) + \(e_2\)), the approximated value of L is
\(L^*_{AND}\) gives the optimal number of cooperative secondary users using AND fusion rule.
By simplifying the above equation, the positive constant (\(\rho\)) value is derived as
According to Bi-section, the \(\rho _{AND}\) value is derived by considering \(\rho _{AND}\) = [\(\rho _{1,AND}\),\(\rho _{2,AND}\)] and assuming the initial value of \(\rho _{1,AND}\) = 0 and
Now at
The optimal number of cooperative secondary users using AND fusion rule \(L^*_{AND}\) is
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Sudhamani, C., M., S.S.R. Energy Efficiency in Cognitive Radio Network Using Cooperative Spectrum Sensing. Wireless Pers Commun 104, 907–919 (2019). https://doi.org/10.1007/s11277-018-6059-9
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DOI: https://doi.org/10.1007/s11277-018-6059-9