Abstract
The basic requirement for cognitive radio networks is that secondary users sense spectrum to detect whether primary users have arrived the system. However, imperfect sensing always occurs due to the interference of unreliable channel and signal, which can negatively affect the performance of both primary users and secondary users. To better study the practical problems of cognitive radio networks, we combine queueing theory with it. In this paper, we consider cognitive radio networks with imperfect sensing based on retrial queues with feedback and priority. Using the method of probability generating function, the performance measures are solved. A bi-objective optimization model is established to minimize both system cost and users’ sojourn time. From the perspective of secondary users, we analyze both individual equilibrium strategy and socially optimal strategy. Meanwhile, in order to eliminate the differences between two strategies, we impose admission fees on secondary users and obtain the optimal pricing strategy.
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Acknowledgements
This project was supported by National Natural Science Foundation of China under Grant No. 71971189.
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This project was supported by National Natural Science Foundation of China under Grant No. 71971189.
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All authors contributed to the study conception and design. Material preparation, data collection and analysis, Writing-Original draft, Writing-Reviewing and Editing, Software. were performed by Yadan Xue; Conceptualization, Methodology, Validation, Visualization. were performed by Ruiling Tian. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Tian, R., Xue, Y., Hao, Y. et al. Optimal analysis in cognitive radio networks with imperfect sensing based on retrial queues with feedback and priority. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04454-y
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DOI: https://doi.org/10.1007/s10586-024-04454-y