On the Performance Analysis of Underlay Cognitive Radio Systems: A Deployment Perspective
Ankit Kaushik, Shree Krishna Sharma, Symeon Chatzinotas, Bj\"orn, Ottersten, Friedrich K. Jondral

TL;DR
This paper analyzes the performance of underlay cognitive radio systems considering practical channel estimation at the secondary transmitter, focusing on interference, throughput, and the tradeoff between estimation time and performance.
Contribution
It introduces a novel channel estimation approach for underlay cognitive radios and characterizes performance under Nakagami-m fading with an emphasis on realistic deployment scenarios.
Findings
Derived expressions for uncertain interference and secondary throughput.
Identified the impact of imperfect channel knowledge on system performance.
Explored the tradeoff between estimation time and secondary throughput.
Abstract
We study the performance of cognitive Underlay System (US) that employ power control mechanism at the Secondary Transmitter (ST) from a deployment perspective. Existing baseline models considered for performance analysis either assume the knowledge of involved channels at the ST or retrieve this information by means of a band manager or a feedback channel, however, such situations rarely exist in practice. Motivated by this fact, we propose a novel approach that incorporates estimation of the involved channels at the ST, in order to characterize the performance of the US in terms of interference power received at the primary receiver and throughput at the secondary receiver (or \textit{secondary throughput}). Moreover, we apply an outage constraint that captures the impact of imperfect channel knowledge, particularly on the uncertain interference. Besides this, we employ a transmit…
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