Performance Analysis of a Cognitive Radio Network with an Energy Harvesting Secondary Transmitter under Nakagami-m Fading
Binh Van Nguyen, Hyoyoung Jung, Dongsoo Har, and Kiseon Kim

TL;DR
This paper analyzes the performance of an energy-harvesting cognitive radio network under Nakagami-m fading, deriving outage probabilities and insights on diversity and coding gains through analytical and simulation methods.
Contribution
It provides novel closed-form approximations for outage probabilities and insights into diversity orders and coding gains in energy-harvesting cognitive radio networks.
Findings
Derived tight outage probability approximations
Revealed diversity orders and coding gains
Validated results with extensive simulations
Abstract
In this paper, we consider an overlay cognitive radio network, in which a secondary transmitter (ST) is willing to relay the information of a primary transmitter toward a primary receiver. In return, ST can access the licensed band to send its own information superimposed with the primary signal to a secondary receiver. The power-limited ST uses a power splitting protocol to harvest energy from its received signal to increase its transmit power. We analyze the performance of the primary and the secondary systems under independent Nakagami-m fading by deriving their corresponding outage probabilities in integral-based expressions. In addition, by considering the high signal-to-noise ratio, we obtain very tight closed-form approximations of the outage probabilities. Thereafter, by further analyzing the approximations, we reveal novel insights on the diversity orders and coding gains of…
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