Outage and ergodic capacity analysis for Cognitive Radio network under the impact of aggregate interference over Nakagami-m fading
Abstract
In a Cognitive Radio Network, the performance of the secondary users depends on the co-channel interference generated by the primary and the secondary transmitters. Therefore the characterization of aggregate interference (AI) in such type of networks is of the prime importance. The characterization of AI at the primary receiver due to multiple cognitive users has been reported in literature but the impact of this AI on performance of secondary receiver has not been investigated. In this paper, the closed form expressions have been derived for the outage probability based on complementary cumulative distribution function (CCDF) of received signal to interference ratio (SIR) at secondary. This analysis is carried out under the impact of AI generated by multiple secondary networks under Nakagami-m fading channel. The system model is designed based on stochastic geometry tools where the interfering nodes are assumed to be distributed as a homogeneous spatial Poisson point process (PPP). Further, the closed form expressions have been derived for the ergodic capacity of secondary network for different parameters of the Nakagami-m fading channel. The results show that the outage probability and ergodic capacity not only depends upon the threshold level of the primary receivers but also a function of received SIR at the secondary receiver, network topology and the parameters of Nakagami-m fading channels.
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