Performance of cognitive radio networks under interference constraints of multiple primary users

In this paper, we study the performance of point-to-point communication in spectrum sharing systems under the peak interference power constraint of multiple primary users. In particular, we assume that the channels undergo independent but not necessarily identically distributed Nakagami-m fading with integer values of fading severity parameter m. The cumulative distribution function and probability density function for the signal-to-noise ratio are derived. Based on these formulas, we obtain analytical expressions for the outage probability, the ergodic capacity, and the symbol error probability. Numerical results are also provided to investigate the impact of the peak interference power-to-noise ratio, the number of primary users, and fading parameters on the performance of the secondary network.

[1]  Trung Quang Duong,et al.  On the performance of spectrum sharing systems over α-µ fading channel for non-identical µ parameter , 2011, 2011 8th International Symposium on Wireless Communication Systems.

[2]  Alexander M. Wyglinski,et al.  A Spectrum Surveying Framework for Dynamic Spectrum Access Networks , 2009, IEEE Transactions on Vehicular Technology.

[3]  Jason Gao,et al.  Channel Capacity Limits of Cognitive Radio in Asymmetric Fading Environments , 2008, 2008 IEEE International Conference on Communications.

[4]  Daniel Benevides da Costa,et al.  On the capacity of spectrum sharing systems in generalized fading scenarios , 2011, 2011 IEEE Radio and Wireless Symposium.

[5]  Leila Musavian,et al.  Effective capacity of delay-constrained cognitive radio in Nakagami fading channels , 2010, IEEE Transactions on Wireless Communications.

[6]  Matthew R. McKay,et al.  Performance Analysis of MIMO-MRC in Double-Correlated Rayleigh Environments , 2005, IEEE Transactions on Communications.

[7]  Leila Musavian,et al.  Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information , 2009, IEEE Transactions on Communications.

[8]  Pramod Viswanath,et al.  Cognitive Radio: An Information-Theoretic Perspective , 2009, IEEE Transactions on Information Theory.

[9]  Yu. A. Brychkov,et al.  Integrals and series , 1992 .

[10]  Daniel Benevides da Costa,et al.  Dual-hop cooperative spectrum sharing systems with multi-primary users and multi-secondary destinations over Nakagami-m fading , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

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

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

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

[14]  Kostas Berberidis,et al.  SINR analysis of cognitive underlay systems with multiple primary transceivers in Nakagami-m fading , 2014, 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[15]  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.

[16]  Sonia Aïssa,et al.  Capacity and power allocation for spectrum-sharing communications in fading channels , 2009, IEEE Transactions on Wireless Communications.

[17]  Mohamed-Slim Alouini,et al.  Ergodic Capacity of Cognitive Radio Under Imperfect Channel-State Information , 2012, IEEE Transactions on Vehicular Technology.

[18]  Jon M. Peha,et al.  Approaches to spectrum sharing , 2005, IEEE Communications Magazine.

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

[20]  Michael Gastpar,et al.  On Capacity Under Receive and Spatial Spectrum-Sharing Constraints , 2007, IEEE Transactions on Information Theory.

[21]  Ying-Chang Liang,et al.  Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks , 2008, IEEE Journal on Selected Areas in Communications.

[22]  Trung Quang Duong,et al.  On the performance of selection decode-and-forward relay networks over Nakagami-m fading channels , 2009, IEEE Communications Letters.

[23]  Mandy Eberhart,et al.  Digital Communication Over Fading Channels , 2016 .