Capacity and Spectral Efficiency of Interference Avoiding Cognitive Radio with Imperfect Detection
Aaqib Patel, Md. Zafar Ali Khan, S. N. Merchant, U. B. Desai

TL;DR
This paper analyzes the capacity and spectral efficiency of cognitive radio systems with imperfect primary user detection, considering various detection techniques and their impact on system performance under Rayleigh fading.
Contribution
It introduces a comprehensive analysis of spectral efficiency and capacity in interference-avoiding cognitive radio with imperfect detection, including new insights into detection performance effects.
Findings
False alarm impacts spectral efficiency more than missed detection.
Lower PU occupancy reduces effects of detection errors.
Matched filter detection outperforms energy detection and coherence methods.
Abstract
In this paper, we consider a model in which the unlicensed or the Secondary User (SU) equipped with a Cognitive Radio (CR) (together referred to as CR) interweaves its transmission with that of the licensed or the Primary User (PU). In this model, when the CR detects the PU to be (i) busy it does not transmit and; (ii) PU to be idle it transmits. Two situations based on CR's detection of PU are considered, where the CR detects PU (i) perfectly - referred to as the "ideal case" and; (ii) imperfectly - referred to as "non ideal case". For both the cases we bring out the rate region, sum capacity of PU and CR and spectral efficiency factor - the ratio of sum capacity of PU and CR to the capacity of PU without CR. We consider the Rayleigh fading channel to provide insight to our results. For the ideal case we study the effect of PU occupancy on spectral efficiency factor. For the non ideal…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Distributed Sensor Networks and Detection Algorithms
