Sensing Performance Evaluation over Multihop System with Composite Fading Channel

Cognitive radio has been demonstrated for improved spectrum utilization by secondary users in the presence of spectrum holes. In this paper, a Cognitive Radio (CR) network is implemented over the cooperative multihop wireless link. A multihop network is a collection of relay nodes within transmitter and receiver. A fixed infrastructure based multihop architecture is assumed for the performance analysis of energy detection algorithm for spectrum sensing in CR. System performance estimation against channel impairments dominated by fading and shadowing effects is one of the prerequisite for performance analysis of such networks. An effort has been made for exact performance analysis of multihop wireless network over composite fading channels. The investigation lead to the findings i.e., for a given value of fading or shadowing parameter, the preferable detection probability is always dependent upon the optimum number of hops. Depending upon SNR a three- or five- hop link may perform better. For severe fading conditions, the one-hop link performs best.

[1]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[2]  Michael P. Wiper,et al.  Mixtures of Gamma Distributions With Applications , 2001 .

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

[4]  Mazen O. Hasna,et al.  Outage probability of multihop transmission over Nakagami fading channels , 2003, IEEE Communications Letters.

[5]  Gordon L. Stüber Principles of mobile communication , 1996 .

[6]  Norman C. Beaulieu,et al.  A closed-form expression for the outage probability of decode-and-forward relaying in dissimilar Rayleigh fading channels , 2006, IEEE Communications Letters.

[7]  Daniel Benevides da Costa,et al.  Performance Analysis for Multihop Relaying Channels with Nakagami-m Fading: Ergodic Capacity Upper-Bounds and Outage Probability , 2012, IEEE Transactions on Communications.

[8]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[9]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[10]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

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

[12]  Mazen O. Hasna,et al.  Harmonic mean and end-to-end performance of transmission systems with relays , 2004, IEEE Transactions on Communications.

[13]  D. A. Chaturvedi Cooperative Spectrum Sensing for Cognitive Radio , 2008 .

[14]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[15]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[16]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[17]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks , 2007, IEEE Transactions on Wireless Communications.

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

[19]  Kerstin Vogler,et al.  Table Of Integrals Series And Products , 2016 .

[20]  Mazen O. Hasna,et al.  A performance study of dual-hop transmissions with fixed gain relays , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[21]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks , 2007, IEEE Transactions on Wireless Communications.