Underlay cooperative cognitive networks with imperfect Nakagami-m fading channel information and strict transmit power constraint: Interference statistics and outage probability analysis

This work investigates two important performance metrics of underlay cooperative cognitive radio (CR) networks: Interference cumulative distribution function of licensed users and outage probability of unlicensed users. These metrics are thoroughly analyzed in realistic operating conditions such as imperfect fading channel information and strict transmit power constraint, which satisfies interference power constraint and maximum transmit power constraint, over Nakagami-m fading channels. Novel closed-form expressions are derived and subsequently validated extensively through comparisons with respective results from computer simulations. The proposed expressions are rather long but straightforward to handle both analytically and numerically since they are expressed in terms of well known built-in functions. In addition, the offered results provide the following technical insights: i) Channel information imperfection degrades considerably the performance of both unlicensed network in terms of OP and licensed network in terms of interference levels; ii) underlay cooperative CR networks experience the outage saturation phenomenon; Hi) the probability that the interference power constraint is satisfied is relatively low and depends significantly on the corresponding fading severity conditions as well as the channel estimation quality; iv) there exists a critical performance trade-off between unlicensed and licensed networks.

[1]  Ho Van Khuong Exact Outage Probability of Underlay Cognitive Cooperative Networks Over Rayleigh Fading Channels , 2013, Wirel. Pers. Commun..

[2]  Ping Zhang,et al.  Outage Performance for Cognitive Relay Networks with Underlay Spectrum Sharing , 2011, IEEE Communications Letters.

[3]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[4]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[5]  Guixia Kang,et al.  Outage performance of relay-assisted cognitive-radio system under spectrum-sharing constraints , 2010 .

[6]  Shlomo Shamai,et al.  Information theoretic considerations for cellular mobile radio , 1994 .

[7]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

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

[9]  Aria Nosratinia,et al.  Cooperative communication in wireless networks , 2004, IEEE Communications Magazine.

[10]  Xing Zhang,et al.  Exact Outage Performance of Cognitive Relay Networks with Maximum Transmit Power Limits , 2011, IEEE Communications Letters.

[11]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[12]  Chintha Tellambura,et al.  Generation of bivariate Rayleigh and Nakagami-m fading envelopes , 2000, IEEE Communications Letters.

[13]  Caijun Zhong,et al.  Outage Analysis of Decode-and-Forward Cognitive Dual-Hop Systems With the Interference Constraint in Nakagami-$m$ Fading Channels , 2011, IEEE Transactions on Vehicular Technology.

[14]  Zan Li,et al.  On the Performance of Spectrum Sharing Cognitive Relay Networks with Imperfect CSI , 2012, IEEE Communications Letters.

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

[16]  Yueming Cai,et al.  On the Finite-SNR DMT of Two-Way AF Relaying with Imperfect CSI , 2012, IEEE Wireless Communications Letters.

[17]  Paschalis C. Sofotasios,et al.  Novel expressions for the Marcum and one dimensional Q-functions , 2010, 2010 7th International Symposium on Wireless Communication Systems.

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

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

[20]  Yue Gao,et al.  Outage Performance Study of Cognitive Relay Networks with Imperfect Channel Knowledge , 2013, IEEE Communications Letters.

[21]  Daniel Benevides da Costa,et al.  Asymptotic Analysis of Cooperative Diversity Systems With Relay Selection in a Spectrum-Sharing Scenario , 2011, IEEE Transactions on Vehicular Technology.

[22]  Aarnout Brombacher,et al.  Probability... , 2009, Qual. Reliab. Eng. Int..