On the Performance Analysis of Underlay Cognitive Radio Systems: A Deployment Perspective

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 power constraint at the ST to classify the operation of the US in terms of an interference-limited regime and a power-limited regime. In addition, we characterize the expressions of the uncertain interference and the secondary throughput for the case where the involved channels encounter Nakagami-$m$ fading. Finally, we investigate a fundamental tradeoff between the estimation time and the secondary throughput depicting an optimized performance of the US.

arXiv comment14 pages, 9 figures, accepted for publication in IEEE Transactions on Cognitive Communications and Networking

References in corpus (6)

• Optimal Power Allocation for Fading Channels in Cognitive Radio Networks: Ergodic Capacity and Outage Capacity
• The Effects of Limited Channel Knowledge on Cognitive Radio System Capacity
• Channel Capacity Limits of Cognitive Radio in Asymmetric Fading Environments
• A Unified Framework for the Ergodic Capacity of Spectrum Sharing Cognitive Radio Systems
• Sensing-Throughput Tradeoff for Interweave Cognitive Radio System: A Deployment-Centric Viewpoint
• Estimation-Throughput Tradeoff for Underlay Cognitive Radio Systems

Cited by in corpus (1)

• Connectivity of Underlay Cognitive Radio Networks with Directional Antennas