Generalized average detection probability of centralized cooperative-MIMO cognitive radio network over β — μ faded reporting channel

In this paper a generalized closed form expression for the average detection probability of an energy detector is derived in terms of computable Meijer G-function. Where the reporting channel in the centralized cooperative spectrum sensing is experiencing a n - μ fading. The reporting network is modeled as secondary users and fusion center equipped with multiple antenna for reporting. The fusion center combines the received data using maximal ratio combining and performs energy detection to make decision. The arrived generalized low complex expression offers the different fading conditions of reporting channel. Also, it is generalized for multiple antenna scenario. The arrived expression is validated by analytical results over different n - μ values with various multiple antenna scenario.

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

[2]  George K. Karagiannidis,et al.  Analytic Solutions to a Useful Marcum $Q{-}$Function Based Integral , 2015, ArXiv.

[3]  P. Muthuchidambaranathan,et al.  Cooperative MIMO Based Reporting System for IEEE 802.22 Standard Over Fading Channels , 2015, Wirel. Pers. Commun..

[4]  P. Muthuchidambaranathan,et al.  Analysis of Linear Equalizers for Cooperative Multi-User MIMO Based Reporting System , 2014 .

[5]  Jose F. Paris,et al.  Advances in the Statistical Characterization of Fading: From 2005 to Present , 2014 .

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

[7]  Ian F. Akyildiz,et al.  Cooperative spectrum sensing in cognitive radio networks: A survey , 2011, Phys. Commun..

[8]  Christian Callegari,et al.  Advances in Computing, Communications and Informatics (ICACCI) , 2015 .

[9]  Hamed S. Al-Raweshidy,et al.  Performance analysis of energy detector over η − μ fading channel: PDF-based approach , 2015 .

[10]  Mikko Valkama,et al.  AUC study of energy detection based spectrum sensing over η-μ and α-μ fading channels , 2015, 2015 IEEE International Conference on Communications (ICC).

[11]  C. Tellambura,et al.  A New Twist on the Generalized Marcum Q-Function QM(a, b) with Fractional-Order M and Its Applications , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[12]  C. Tellambura,et al.  Energy detection of primary signals over η - μ fading channels , 2009, 2009 International Conference on Industrial and Information Systems (ICIIS).

[13]  Victor Adamchik,et al.  The algorithm for calculating integrals of hypergeometric type functions and its realization in REDUCE system , 1990, ISSAC '90.

[14]  P. Muthuchidambaranathan,et al.  Average detection probability analysis for cooperative - MIMO spectrum sensing in cognitive radio networks , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[15]  Osamah S. Badarneh.  On the MGFs of Generalized eta-mu and kappa-mu Fading Channels , 2014 .

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

[17]  Eyidayo Adebola,et al.  Unified analysis of energy detectors with diversity reception in generalised fading channels , 2014, IET Commun..

[18]  Ranjan Gangopadhyay,et al.  Impact of Primary User Duty Cycle in Generalized Fading Channels on Spectrum Sensing in Cognitive Radio , 2015 .

[19]  Daniel W. Bliss,et al.  Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.