Partial area under the receiver operating characteristics curves of diversity-enabled energy detectors in generalised fading channels

A known exponential-type integral representation for the generalised Marcum-Q function Qv (a, b) is exploited (which is valid for integer order v but for any ratio of a/b) to unify the performance evaluation of the partial area under the receiver operating characteristics curve (partial AUC) metric of average energy detectors with diversity reception in a myriad of fading environments (including the η − μ, κ − μ, α − μ, K, G and KG generalised fading distributions). This new metric facilitates the comparison of two different energy detectors within a specified detection threshold range and can also be used to compute the total AUC as a special case. The numerical results also show that the partial AUC performance of an average energy detector is superior to that of the classical total energy detector with the increasing sample size owing to the noise averaging effect. The new analytical framework also facilitates the investigation of the effects of dissimilar fading parameters and/or signal strengths, diversity order and diversity combining techniques on the partial AUC performance of energy detectors.

[1]  George K. Karagiannidis,et al.  On the performance analysis of digital communications over generalized-K fading channels , 2006, IEEE Communications Letters.

[2]  D. McClish Analyzing a Portion of the ROC Curve , 1989, Medical decision making : an international journal of the Society for Medical Decision Making.

[3]  Terry Hyslop,et al.  Partial AUC for Differentiated Gene Detection , 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

[4]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[5]  Mustafa M. Matalgah,et al.  Moment generating function of the generalized α - μ distribution with applications , 2009, IEEE Communications Letters.

[6]  H. Barrett,et al.  Objective assessment of image quality. III. ROC metrics, ideal observers, and likelihood-generating functions. , 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.

[7]  Oluwatobi Olabiyi,et al.  Energy detector's performance evaluation in a relay based cognitive radio network: Area under the ROC curve (AUC) approach , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[8]  Mohamed-Slim Alouini,et al.  On the performance analysis of composite multipath/shadowing channels using the G-distribution , 2009, IEEE Transactions on Communications.

[9]  Vijay K. Bhargava,et al.  Closed form and infinite series solutions for the MGF of a dual-diversity selection combiner output in bivariate Nakagami fading , 2003, IEEE Trans. Commun..

[10]  M.D. Yacoub,et al.  The κ-μ distribution and the η-μ distribution , 2007, IEEE Antennas and Propagation Magazine.

[11]  Lori E. Dodd,et al.  Partial AUC Estimation and Regression , 2003, Biometrics.

[12]  Eric Clarkson,et al.  Bounds on the area under the receiver operating characteristic curve for the ideal observer. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

[13]  Hai Jiang,et al.  MGF Based Analysis of Area under the ROC Curve in Energy Detection , 2011, IEEE Communications Letters.

[14]  Natalia Y. Ermolova Moment Generating Functions of the Generalized η-μ and k-μ Distributions and Their Applications to Performance Evaluations of Communication Systems , 2008, IEEE Communications Letters.

[15]  Khaled Ben Letaief,et al.  Cooperative Communications for Cognitive Radio Networks , 2009, Proceedings of the IEEE.

[16]  Michel Daoud Yacoub,et al.  The α-μ distribution: a general fading distribution , 2002, PIMRC.

[17]  Hai Jiang,et al.  Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[18]  M.D. Yacoub,et al.  The $\alpha$-$\mu$ Distribution: A Physical Fading Model for the Stacy Distribution , 2007, IEEE Transactions on Vehicular Technology.

[19]  Yunfei Chen,et al.  Improved energy detector for random signals in gaussian noise , 2010, IEEE Transactions on Wireless Communications.

[20]  M. D. Yacoub The /spl eta/-/spl mu/ distribution: a general fading distribution , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[21]  Hai Jiang,et al.  Analysis of area under the ROC curve of energy detection , 2010, IEEE Transactions on Wireless Communications.

[22]  Jeffrey H. Shapiro Bounds on the area under the ROC curve , 1999 .

[23]  K. B. Letaief,et al.  Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks , 2009, IEEE Transactions on Wireless Communications.

[24]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[25]  A. Annamalai,et al.  Further results on area under the ROC curve of energy detectors over generalized fading channels , 2011, 34th IEEE Sarnoff Symposium.

[26]  H. Urkowitz Energy detection of unknown deterministic signals , 1967 .

[27]  Oluwatobi Olabiyi,et al.  Closed-form evaluation of area under the ROC of cooperative relay-based energy detection in cognitive radio networks , 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

[28]  Norman C. Beaulieu,et al.  Improved Energy Detectors for Cognitive Radios With Randomly Arriving or Departing Primary Users , 2010, IEEE Signal Processing Letters.

[29]  A. Mammela,et al.  Cooperative and noncooperative spectrum sensing techniques using Welch’s periodogram in cognitive radios , 2008, 2008 First International Workshop on Cognitive Radio and Advanced Spectrum Management.

[30]  A. Annamalai,et al.  Performance evaluation of cooperative cognitive radio networks with data/decision fusion , 2011, 2011 - MILCOM 2011 Military Communications Conference.

[31]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .