Performance Analysis of Cognitive Radio Systems under QoS Constraints and Channel Uncertainty
Sami Akin, Mustafa Cenk Gursoy

TL;DR
This paper analyzes the performance of cognitive radio systems under QoS constraints and channel uncertainty, focusing on sensing, estimation, and effective capacity in fading channels with primary user activity modeled as a Markov process.
Contribution
It introduces a comprehensive model combining channel sensing, estimation, and QoS constraints to evaluate cognitive radio throughput under realistic uncertainties.
Findings
Effective capacity depends on sensing accuracy and estimation quality.
Optimal power and rate policies improve throughput under QoS constraints.
Channel uncertainty significantly impacts cognitive radio performance.
Abstract
In this paper, performance of cognitive transmission over time-selective flat fading channels is studied under quality of service (QoS) constraints and channel uncertainty. Cognitive secondary users (SUs) are assumed to initially perform channel sensing to detect the activities of the primary users, and then attempt to estimate the channel fading coefficients through training. Energy detection is employed for channel sensing, and different minimum mean-square-error (MMSE) estimation methods are considered for channel estimation. In both channel sensing and estimation, erroneous decisions can be made, and hence, channel uncertainty is not completely eliminated. In this setting, performance is studied and interactions between channel sensing and estimation are investigated. Following the channel sensing and estimation tasks, SUs engage in data transmission. Transmitter, being unaware of…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Advanced Wireless Network Optimization
