Performance of Spectrum Sharing System in Gamma Shadowed Nakagami-m Fading Environment

Abstract In this paper, the performance of spectrum sharing system in composite Nakagami-m/gamma shadowed channels is analyzed. The environments (of primary and secondary users) corrupted only by noise or interference are considered in details. The novel analytical expressions for outage probability, moment generation function and ergodic capacity are derived in a form of fast-computable Meijer’s G functions, for both mentioned scenarios. Numerical results illustrate the impact of fading and shadowing phenomena on system performance, and appropriate comparison between noise- and interference-limited cases is presented.

[1]  Joseph Mitola.  Cognitive Radio for Flexible Mobile Multimedia Communications , 2001, Mob. Networks Appl..

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

[3]  P. Mohana Shankar,et al.  Error Rates in Generalized Shadowed Fading Channels , 2004, Wirel. Pers. Commun..

[4]  Ying-Chang Liang,et al.  Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity , 2008, IEEE Transactions on Wireless Communications.

[5]  Amir Ghasemi,et al.  Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs , 2008, IEEE Communications Magazine.

[6]  D. F. Hays,et al.  Table of Integrals, Series, and Products , 1966 .

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

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

[9]  Carl W. Helstrom,et al.  Probability and stochastic processes for engineers , 1984 .

[10]  Haroon Rasheed,et al.  Spectrum Sensing for Cognitive Vehicular Networks over Composite Fading , 2011 .

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

[12]  Muhammad Fainan Hanif,et al.  On the statistics of cognitive radio capacity in shadowing and fast fading environments , 2010, IEEE Transactions on Wireless Communications.

[13]  I. Kostic.  Analytical approach to performance analysis for channel subject to shadowing and fading , 2005 .

[14]  P. Mohana Shankar,et al.  Statistical Models for Fading and Shadowed Fading Channels in Wireless Systems: A Pedagogical Perspective , 2011, Wirel. Pers. Commun..

[15]  Amir Ghasemi,et al.  Fundamental limits of spectrum-sharing in fading environments , 2007, IEEE Transactions on Wireless Communications.

[16]  Mansoor Shafi,et al.  Capacity Limits and Performance Analysis of Cognitive Radio With Imperfect Channel Knowledge , 2010, IEEE Transactions on Vehicular Technology.

[17]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.