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Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing

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Cognitive Radio Oriented Wireless Networks (CrownCom 2016)

Abstract

Diversity reception schemes are well-known to have the ability to mitigate the adverse effects of multipath wireless channels. This paper analyzes the performance of an energy detector with generalized selection combining (GSC) over a Rayleigh fading channel and compares the results with those of the conventional diversity combining schemes such as, maximal-ratio combining (MRC) and the selection combining (SC). Novel closed-form expressions have been derived for the average detection probability over the independently, identically distributed (i.i.d) diversity paths. Receiver operating characteristics (ROCs) and average detection probability versus SNR curves have been presented for different scenarios of interest.

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References

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Acknowledgments

The work has been carried out under the project, “Mobile Broadband Service Support over Cognitive Radio Networks,” sponsored by Information Technology Research Academy (ITRA), Department of Electronics and Information Technology (DeitY), Govt. of India.

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Correspondence to Deep Chandra Kandpal .

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Appendices

A Appendix

1.1 Evaluation of \(A_{1}\) in (10)

Using [8, (5)], \(A_{1}\) can be written as:

$$\begin{aligned} A_{1} = \left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }^{L_{c}}(L_{c}-1)!}&\int _{0}^{\infty }\Bigg [ 1- \exp \left( -\dfrac{2\gamma _{\tiny {\text{ GSC }}} + \lambda }{2}\right) \sum _{n = N}^{\infty }\left( \dfrac{\sqrt{\lambda }}{\sqrt{2\gamma _{\tiny {\text{ GSC }}}}}\right) ^{n} \nonumber \\&\cdot I_{n}\left( \sqrt{2\gamma _{\tiny {\text{ GSC }}} \lambda }\right) \Bigg ] \gamma _{\tiny {\text{ GSC }}}^{L_{c}-1} \exp \left( -\dfrac{\gamma _{\tiny {\text{ GSC }}}}{\overline{\gamma }}\right) d\gamma _{\tiny {\text{ GSC }}} \end{aligned}$$
(16)

where, \(I_{n}(\cdot )\) is the modified Bessel function of order n. Using transformation and change of variable, (16) can be written as:

$$\begin{aligned} A_{1} =&2\left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }^{L_{c}}(L_{c}-1)!}\int _{0}^{\infty }Q_{N}\left( \sqrt{2}\gamma _{\tiny {\text{ GSC }}}, \sqrt{\lambda }\right) \gamma _{\tiny {\text{ GSC }}}^{\left( 2L_{c}-1\right) } \exp \left( -\dfrac{\gamma _{\tiny {\text{ GSC }}}^{2}}{\overline{\gamma }}\right) d\gamma _{\tiny {\text{ GSC }}} \nonumber \\ =&2\left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }^{L_{c}}(L_{c}-1)!}\cdot G_{N} \end{aligned}$$
(17)

From [8, (29)], the above equation becomes equal to (13) where, \(G_{1}\) can be defined as [8, (25)]:

$$\begin{aligned} G_{1} = \dfrac{2^{L_{c}-1}\left( L_{c}-1\right) !}{\left( 2/\overline{\gamma }\right) ^{L_{c}}}\left( \dfrac{\overline{\gamma }}{1+\overline{\gamma }}\right) \exp \left( -\dfrac{\lambda }{2\left( 1+\overline{\gamma }\right) }\right)&\sum _{k = 0}^{L_{c}-1} \epsilon _{k} \left( \dfrac{1}{1+\overline{\gamma }}\right) ^{k} \nonumber \\&\cdot L_{k}\left( -\dfrac{\lambda \overline{\gamma }}{2\left( 1+\overline{\gamma }\right) }\right) \end{aligned}$$
(18)

where,

$$\begin{aligned} \epsilon _{k}\equiv {\left\{ \begin{array}{ll} 1;&{} k<L_{c}-1\\ 1+\dfrac{1}{\overline{\gamma }};&{} k = L_{c}-1 \end{array}\right. } \end{aligned}$$
(19)

and \(L_{k}(\cdot )\) is the Laguerre polynomial of degree k.

B Appendix

1.1 Evaluation of \(A_{2}\) in (11)

From (11), \(A_{2}\) can be given as:

$$\begin{aligned} A_{2} =&\left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }}\sum _{l = 1}^{L - L_{c}}(-1)^{L_{c}-l+1}\left( {\begin{array}{c}L-L_{c}\\ l\end{array}}\right) \left( \dfrac{L_{c}}{l}\right) ^{L_{c}-1} \int _{0}^{\infty }\Bigg [ 1 - \exp \left( -\dfrac{2\gamma _{\tiny {\text{ GSC }}}+\lambda }{2}\right) \nonumber \\&\cdot \sum _{n= N}^{\infty }\left( \dfrac{\sqrt{\lambda }}{\sqrt{2\gamma }}\right) ^{n} I_{n}\left( \sqrt{2\gamma _{\tiny {\text{ GSC }}}\lambda }\right) \Bigg ] \exp \left[ -\dfrac{\gamma _{\tiny {\text{ GSC }}}}{\overline{\gamma }}\left( 1+\dfrac{l}{L_{c}}\right) \right] d\gamma _{\tiny {\text{ GSC }}} \nonumber \\ =&2 \left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }}\sum _{l = 1}^{L - L_{c}}(-1)^{L_{c}-l+1}\left( {\begin{array}{c}L-L_{c}\\ l\end{array}}\right) \left( \dfrac{L_{c}}{l}\right) ^{L_{c}-1} \int _{0}^{\infty }Q_{N}\left( \sqrt{2}\gamma _{\tiny {\text{ GSC }}}, \sqrt{\lambda }\right) \nonumber \\&\cdot \exp \left[ -\dfrac{\gamma _{\tiny {\text{ GSC }}}^{2}}{\overline{\gamma }}\left( 1+\dfrac{l}{L_{c}}\right) \right] \gamma _{\tiny {\text{ GSC }}} d\gamma _{\tiny {\text{ GSC }}} \nonumber \\ =&2 \left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }}\sum _{l = 1}^{L - L_{c}}(-1)^{L_{c}-l+1}\left( {\begin{array}{c}L-L_{c}\\ l\end{array}}\right) \left( \dfrac{L_{c}}{l}\right) ^{L_{c}-1}\cdot D_{N} \end{aligned}$$
(20)

From [8, (29)], the above equation becomes equal to (14) where, \(D_{1}\) can be defined as [8, (25)]:

$$\begin{aligned} D_{1} =&\dfrac{\left( \overline{\gamma }L_{c}\right) ^{2}}{2\left( l+Lc\right) \left( l+L_{c}+\overline{\gamma }L_{c}\right) } \exp \left( -\dfrac{\lambda \left( l+L_{c}\right) }{2\left( l+L_{c}+\overline{\gamma }L_{c}\right) }\right) \cdot \Bigg [\left( 1+\dfrac{l+L_{c}}{\overline{\gamma }L_{c}}\right) \Bigg ] \end{aligned}$$
(21)

In the above equation, it is important to note that the value of Laguerre polynomial for order 0 becomes 1.

C Appendix

1.1 Evaluation of \(A_{3}\) in (12)

Following the same analogy as in Appendix A, (12) can be written as:

$$\begin{aligned} A_{3} =&-2 \left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }}\sum _{l = 1}^{L - L_{c}}(-1)^{L_{c}-l+1} \left( {\begin{array}{c}L-L_{c}\\ l\end{array}}\right) \left( \dfrac{L_{c}}{l}\right) ^{L_{c}-1} \cdot \sum _{m = 0}^{L_{c}-2}\dfrac{1}{m!}\left( \dfrac{-l}{L_{c}\overline{\gamma }}\right) ^{m} \nonumber \\&\cdot \int _{0}^{\infty }Q_{N}\left( \sqrt{2}\gamma _{\tiny {\text{ GSC }}},\sqrt{\lambda }\right) \exp \left( -\gamma _{\tiny {\text{ GSC }}}^{2}/\overline{\gamma }\right) \gamma _{\tiny {\text{ GSC }}}^{2m+1}d\gamma _{\tiny {\text{ GSC }}} \nonumber \\ =&-2 \left( {\begin{array}{c}L\\ L_{c}\end{array}}\right) \dfrac{1}{\overline{\gamma }}\sum _{l = 1}^{L - L_{c}}(-1)^{L_{c}-l+1} \left( {\begin{array}{c}L-L_{c}\\ l\end{array}}\right) \left( \dfrac{L_{c}}{l}\right) ^{L_{c}-1} \cdot \sum _{m = 0}^{L_{c}-2}\dfrac{1}{m!}\left( \dfrac{-l}{L_{c}\overline{\gamma }}\right) ^{m} \cdot J_{N} \end{aligned}$$
(22)

From [8, (29)], the above equation becomes equal to (15) where, \(J_{1}\) can be defined as [8, (25)]:

$$\begin{aligned} J_{1} =&\dfrac{2^{m}m!}{\left( 2/\overline{\gamma }\right) ^{(m+1)}}\dfrac{\overline{\gamma }}{1+\overline{\gamma }}\exp \left( -\dfrac{\lambda }{2\left( 1+\overline{\gamma }\right) }\right) \sum _{k = 0}^{m}\phi _{k}\left( \dfrac{1}{1+\overline{\gamma }}\right) ^{k}L_{k}\left( -\dfrac{\lambda \overline{\gamma }}{2\left( 1+\overline{\gamma }\right) }\right) \end{aligned}$$
(23)

where,

$$\begin{aligned} \phi _{k}\equiv {\left\{ \begin{array}{ll} 1;&{} k<m\\ 1+\dfrac{1}{\overline{\gamma }};&{} k = m \end{array}\right. } \end{aligned}$$
(24)

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Kandpal, D.C., Kumar, V., Gangopadhyay, R., Debnath, S. (2016). Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-40352-6_31

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