Mathematical analysis for detection probability in cognitive radio networks over wireless communication channels
- Author(s): Rohitha Ujjinimatad 1 and Siddarama R. Patil 2
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View affiliations
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Affiliations:
1:
Department of Electronics and Communication Engineering , Ballari Institute of Technology and Management , Bellary 583 104 , Karnataka , India ;
2: Electronics and Communication Engineering Department , PDA College of Engineering , Gulbarga , Karnataka , India
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Affiliations:
1:
Department of Electronics and Communication Engineering , Ballari Institute of Technology and Management , Bellary 583 104 , Karnataka , India ;
- Source:
Volume 2014, Issue 8,
August
2014,
p.
445 – 449
DOI: 10.1049/joe.2014.0173 , Online ISSN 2051-3305
In this study, the authors consider the problem of spectrum sensing based on energy detection method in cognitive radio over wireless communication channels when users experience fading and non-fading effects. The closed-form analytical expressions for the detection probability are derived over non-fading additive white Gaussian noise channel and Rayleigh and log-normal shadowing fading channels. The detection probability involves Marcum-Q function, summations and integrations in the early research papers, which are replaced by closed-form expressions in this study. The probability distribution function of fading channels is used to obtain the expressions for detection probability. The new derived numerical results are simulated under various parameters. The performance of the derived theoretical expressions closely matches with the simulated results.
Inspec keywords: Rayleigh channels; fading channels; signal detection; wireless channels; Gaussian noise; mathematical analysis; radio spectrum management; cognitive radio
Other keywords: mathematical analysis; lognormal shadowing fading channels; Marcum-Q function; nonfading additive white Gaussian noise channel; probability distribution function; analytical expressions; cognitive radio networks; nonfading effects; detection probability; wireless communication channels; Rayleigh shadowing fading channels; spectrum sensing; closed-form expressions; energy detection method
Subjects: Signal detection; Other topics in statistics; Mathematical analysis; Radio links and equipment
References
-
-
1)
-
14. Ganesan, G., Li, Y.G.: ‘Cooperative spectrum sensing in cognitive radio, Part I: Two user networks’, IEEE Trans. Wirel. Commun., 2007, 6, (6), pp. 2204–2213 (doi: 10.1109/TWC.2007.05775).
-
-
2)
-
10. Sofotasios, P., Rebeiz, E., Zhang, L., et al: ‘Energy detection based spectrum sensing over κ-μ and κ-μ extreme fading channels’, IEEE Trans. Veh. Technol., 2013, 62, (3), pp. 1031–1040 (doi: 10.1109/TVT.2012.2228680).
-
-
3)
-
7. Rao, A., Alouini, M.-S.: ‘Performance of cooperative spectrum sensing over non-identical fading environments’, IEEE Trans. Commun., 2011, 59, pp. 3249–3253 (doi: 10.1109/TCOMM.2011.082911.100222).
-
-
4)
-
17. Gismalla, E., Alsusa, E.: ‘On the performance of energy detection using Bartlett's estimate for spectrum sensing in cognitive radio systems’, IEEE Trans. Signal Process., 2012, 60, (7), pp. 3394–3404 (doi: 10.1109/TSP.2012.2191544).
-
-
5)
-
2. Sun, H., Laurenson, D.I., Wang, C.X.: ‘Computationally tractable model of energy detection performance over slow fading channels’, IEEE Commun. Lett., 2010, 14, (10), pp. 924–926 (doi: 10.1109/LCOMM.2010.090710.100934).
-
-
6)
-
14. Banjade, V.R.S., Rajatheva, N., Tellambura, C.: ‘Performance analysis of energy detection with multiple correlated antenna cognitive radio in Nakagami-m fading’, IEEE Commun. Lett., 2012, 16, (4), pp. 502–505 (doi: 10.1109/LCOMM.2012.020212.112541).
-
-
7)
-
15. Pridham, R., Urkowitz, H.: ‘Comment on energy detection of unknown deterministic signals’, Proc. IEEE, 1968, 56, (8), pp. 1379–1380 (doi: 10.1109/PROC.1968.6600).
-
-
8)
-
3. Taherpour, A., Norouzi, Y., Nasiri-Kenari, M., Jamshidi, A., Zeinalpour-Yazdi, Z.: ‘Asymptotically optimum detection of primary user in cognitive radio networks’, IET Commun., 2007, 1, pp. 1138–1145 (doi: 10.1049/iet-com:20060645).
-
-
9)
-
6. Ghasemi, A., Sousa, E.: ‘Opportunistic spectrum access in fading channels through collaborative sensing’, J. Commun., 2007, 2, pp. 71–82 (doi: 10.4304/jcm.2.2.71-82).
-
-
10)
-
18. Shnidman, D.: ‘The calculation of the probability of detection and the generalized Marcum Q-function’, IEEE Trans. Inf. Theory, 1989, 35, (2), pp. 389–400 (doi: 10.1109/18.32133).
-
-
11)
-
16. Axell, E., Larsson, E.: ‘Optimal and sub-optimal spectrum sensing of OFDM signals in known and unknown noise variance’, IEEE J. Sel. Areas Commun., 2011, 29, (2), pp. 290–304 (doi: 10.1109/JSAC.2011.110203).
-
-
12)
-
1. Urkowitz, H.: ‘Energy detection of unknown deterministic signals’, Proc. IEEE, 1967, 55, (4), pp. 523–531 (doi: 10.1109/PROC.1967.5573).
-
-
13)
-
12. Ruttik, K., Koufos, K., Jantti, R.: ‘Detection of unknown signals in a fading environment’, IEEE Commun. Lett., 2009, 13, (7), pp. 498–500 (doi: 10.1109/LCOMM.2009.090169).
-
-
14)
-
19. Digham, F.F., Alouini, M.-S., Simon, M.K.: ‘On the energy detection of unknown signals over fading channels’, IEEE Trans. Commun., 2007, 55, (1), pp. 21–24 (doi: 10.1109/TCOMM.2006.887483).
-
-
15)
- F.F. Digham , M.-S. Alouini , M.K. Simon . On the energy detection of unknown signals over fading channels. IEEE Trans. Commun. , 1 , 21 - 24
-
16)
- H. Sun , D.I. Laurenson , C.-X. Wang . Computationally tractable model of energy detection performance over slow fading channels. IEEE Commun. Lett. , 924 - 926
-
17)
- D.A. Shnidman . The calculation of the probability of detection and the generalized Marcum Q-function. IEEE Trans. Inf. Theory , 2 , 389 - 400
-
18)
-
24. Gradshteyn, I.S., Ryzhik, I.M.: ‘Tables of integrals, series, and products’, 7th edn. (Elsevier Academic Press, 2007).
-
-
19)
-
1. Kolodzy, P., Avoidance, I., Models, S.: ‘Spectrum policy task force’. Federal Communications Commission, Washington, DC, Report ET Docket, 2002.
-
-
20)
-
5. Kim, K., Akbar, I.A., Bae, K.K., Um, J.S., Spooner, C.M., Reed, J.H.: ‘Cyclostationary approaches to signal detection and classification in cognitive radio’. DySPAN2007, April 2007, pp. 212–215.
-
-
21)
-
4. Sofotasios, P.C., Rebeiz, E., et al: ‘Energy detection based spectrum sensing overκ-μ andκ-μ extreme fading channels’, IEEE Trans. Veh. Technol., 2013, 62, (3), pp. 1031–1040 (doi: 10.1109/TVT.2012.2228680).
-
-
22)
-
21. András, S., Baricz, Á., Sun, Y.: ‘The generalized Marcum-Q function: an orthogonal polynomial approach’, Acta Univ. Sapientiae Math., 2011, 3, (1), pp. 60–76.
-
-
23)
-
23. Simon, M.K., Alouini, M.-S.: ‘Digital communications over fading channels’ (John Wiley and Sons, Inc., 2004, 2nd edn.).
-
-
24)
-
22. Altrad, O., Muhaidat, S.: ‘A new mathematical analysis of the probability of detection in cognitive radio over fading ‘channels’, EURASIP J. Wirel. Commun. Netw.2013, 2013, (159), doi: 10.1186/1687-1499-2013-159.
-
-
25)
-
5. Banjade, V.S., Rajatheva, N., Tellambura, C.: ‘Performance analysis of energy detection with multiple correlated antenna cognitive radio in Nakagami-m fading’, IEEE Commun. Lett., 2012, 16, (4), pp. 502–505 (doi: 10.1109/LCOMM.2012.020212.112541).
-
-
26)
-
19. Proakis, J.G., Salehi, M.: ‘Digital communications’ (McGraw-Hill, New York, 2008), pp. 46–47.
-
-
27)
- K. Ruttik , K. Koufos , R. Jäntti . Detection of unknown signals in fading environment. IEEE Commun. Lett. , 7 , 498 - 500
-
28)
-
8. Kostylev, V.I.: ‘Energy detection of a signal with random amplitude’. Proc. IEEE Int. Conf. Commun., May 2002, pp. 1606–1610.
-
-
29)
-
11. Rao, A., Alouini, M.S.: ‘Performance of cooperative spectrum sensing over non identical fading environments’, IEEE Trans. Commun., 2011, 59, (12), pp. 3249–3253 (doi: 10.1109/TCOMM.2011.082911.100222).
-
-
30)
- A. Taherpour , Y. Norouzi , M. Nasiri-Kenari , A. Jamshidi , Z. Zeinalpour-Yazdi . Asymptotically optimum detection of primary user in cognitive radio networks. IET Commun. , 6 , 1138 - 1145
-
31)
-
2. Haykin, S.: ‘Cognitive radio: brain-empowered wireless communications’, IEEE Trans. Commun., 2005, 23, pp. 201–220.
-
-
32)
-
20. Abramowitz, M., Stegun, I.A.: ‘Handbook of mathematical functions with formulas, graphs, and mathematical tables’ (Dover, New York, 1974).
-
-
33)
-
15. Pridham, R., Urkowitz, H.: ‘Comment on energy detection of unknown deterministic signals’, Proc. IEEE, 1968, 56, (8), pp. 1379–1380 (doi: 10.1109/PROC.1968.6600).
-
-
34)
- A. Ghasemi , E.S. Sousa . Opportunistic spectrum access in fading channels through collaborative sensing. J. Commun. , 2 , 71 - 82
-
35)
-
16. Axell, E., Larsson, E.: ‘Optimal and sub-optimal spectrum sensing of OFDM signals in known and unknown noise variance’, IEEE J. Sel. Areas Commun., 2011, 29, (2), pp. 290–304 (doi: 10.1109/JSAC.2011.110203).
-
-
36)
-
17. Gismalla, E., Alsusa, E.: ‘On the performance of energy detection using Bartlett's estimate for spectrum sensing in cognitive radio systems’, IEEE Trans. Signal Process., 2012, 60, (7), pp. 3394–3404 (doi: 10.1109/TSP.2012.2191544).
-
-
37)
- H. Urkowitz . Energy detection of unknown deterministic signals. Proc. IEEE , 4 , 523 - 531
-
38)
- G. Ganesan , Y.(G.) Li . Cooperative spectrum sensing in cognitive radio – Part I: two user networks. IEEE Trans. Wirel. Commun. , 6 , 2204 - 2213
-
1)