Performance analysis of SIMO spectrum sharing networks over correlated κ-μ shadowed fading relying on MRC reception

Abstract The real-world wireless channels are accurately modeled by the composite multipath fading and shadowing channel models. The performance of a typical cognitive spectrum sharing (SS) network under a composite fading and shadowing model is rarely analyzed, and hence, needs considerable attention. In this paper, a cognitive SS network is considered having multiantenna at the secondary/cognitive receiver (SR), and the signals received at different antennas are combined using maximal ratio combining scheme. The channels at SR are considered to be spatially correlated κ - μ shadowed distributed. The analytical expressions for the outage probability and the ergodic capacity are derived under peak interference power constraint (PIPC) of the primary receiver (PR). It is shown that the performance of the SS network degrades as the spatial correlation increases at SR. It is also observed that the severity of fading/shadowing at the interfering link is favorable to the secondary user’s communication up to a certain value of PIPC of PR.

[1]  Mohamed-Slim Alouini,et al.  Performance Analysis of a Power Limited Spectrum Sharing System With TAS/MRC , 2014, IEEE Transactions on Signal Processing.

[2]  José F. Paris.  Statistical Characterization of $\kappa{ - }\mu$ Shadowed Fading , 2014, IEEE Transactions on Vehicular Technology.

[3]  Sonali Chouhan,et al.  Outage probability analysis of cognitive decode-and-forward relay networks over k — μ Shadowed Channels , 2015, 2015 21st Asia-Pacific Conference on Communications (APCC).

[4]  Suman Kumar.  Approximate Outage Probability and Capacity for $\kappa$ - $\mu$ Shadowed Fading , 2015 .

[5]  Nasser Saad,et al.  Some formulas for the Appell function F 1 (a, b, b′; c; w, z) , 2012 .

[6]  Manav R. Bhatnagar,et al.  On the Sum of Correlated Squared $\kappa-\mu$ Shadowed Random Variables and Its Application to Performance Analysis of MRC , 2014, IEEE Transactions on Vehicular Technology.

[7]  Sonali Chouhan,et al.  Performance analysis of cognitive decode-and-forward dual-hop relay networks over κ–μ shadowed channels , 2016 .

[8]  Ping Zhang,et al.  Outage Capacity of Spectrum Sharing Cognitive Radio with MRC Diversity and Outdated CSI under Asymmetric Fading , 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

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

[10]  P. W. Karlsson,et al.  Multiple Gaussian hypergeometric series , 1985 .

[11]  Harold Exton,et al.  Multiple hypergeometric functions and applications , 1979 .

[12]  Honggang Zhang,et al.  On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing , 2015, IEEE Communications Magazine.

[13]  Daniel Benevides da Costa,et al.  Transmit Antenna Selection for Interference Management in Cognitive Relay Networks , 2014, IEEE Transactions on Vehicular Technology.