Unified analysis of energy detectors with diversity reception in generalised fading channels

In this paper, the authors present a novel moment generating function-based technique to unify the performance evaluation of an average energy detector for detecting unknown deterministic signals over generalised fading environments (including the η-μ, κ-μ, α-μ, K, G and KG generalised fading distributions) with diversity reception. Specifically, the authors exploit a known exponential-type integral representation for the generalised Marcum Q-function Qv (a, b) that is valid for any ratio of a/b but for positive integer order v to greatly simplify the task of finding the statistical expectations over the fading signal-to-noise ratio random variables in the computation of the average detection probability metric. This new approach leads to a very compact and an elegant solution for many practical cases of interest including the independent but non-identically distributed fading statistics and/or arbitrarily correlated diversity branches in maximal-ratio combining, square-law combining and square-law selection diversity receivers. The authors’ numerical results also show that the performance of average energy detector is superior to the classical total energy detector with the increasing number of samples owing to the noise averaging effect. We have also demonstrated the versatility and utility of the proposed analytical framework to investigate the impact of dissimilar mean signal strengths, fading parameters, time-bandwidth product, diversity order and signal combining techniques on the receiver operating characteristics of diversity energy detectors in a myriad of fading environments that had heretofore resisted simple solutions.

[1]  Oluwatobi Olabiyi,et al.  Unified analysis of energy detection of unknown signals over generalized fading channels , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

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

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

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

[5]  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.

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

[7]  Oluwatobi Olabiyi,et al.  Analysis of detection performance of modified periodogram over fading channels , 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).

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

[9]  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.

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

[11]  Ranjan K. Mallik,et al.  Cooperative Spectrum Sensing in Multiple Antenna Based Cognitive Radio Network Using an Improved Energy Detector , 2012, IEEE Communications Letters.

[12]  R. M. A. P. Rajatheva,et al.  Energy Detection of Unknown Signals in Fading and Diversity Reception , 2011, IEEE Transactions on Communications.

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

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

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

[16]  Yunfei Chen Improved energy detector for random signals in gaussian noise , 2010 .

[17]  Kalle Ruttik,et al.  Detection of Unknown Signals in a Fading Environment , 2009, IEEE Communications Letters.

[18]  C. Tellambura,et al.  Unified Approach for Energy Detection of Unknown Deterministic Signal in Cognitive Radio Over Fading Channels , 2009, 2009 IEEE International Conference on Communications Workshops.

[19]  Hai Jiang,et al.  Relay Based Cooperative Spectrum Sensing in Cognitive Radio Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[20]  R. M. A. P. Rajatheva,et al.  Analysis of Equal Gain Combining in Energy Detection for Cognitive Radio over Nakagami Channels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[21]  Vladimir I. Kostylev,et al.  Energy detection of a signal with random amplitude , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

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

[23]  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).

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

[25]  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..

[26]  Hai Jiang,et al.  Performance of an Energy Detector over Channels with Both Multipath Fading and Shadowing , 2010, IEEE Transactions on Wireless Communications.

[27]  R. M. A. P. Rajatheva,et al.  On the energy detection of unknown deterministic signal over Nakagami channelswith selection combining , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.