2020/05/06 by Ehsan Tohidi, Tohidi, Ehsan, David Gesbert +3
Computer Science · Engineering · #Cognitive Radio Networks and Spectrum Sensing #FOS: Electrical engineering #Satellite Communication Systems #Signal Processing (eess.SP) #Wireless Communication Networks Research #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.04001
openalex publication_date 2020/05/06 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
We address the problem of resource allocation (RA) in a cognitive radio (CR)\ncommunication system with multiple secondary operators sharing spectrum with an\nincumbent primary operator. The key challenge of the RA problem is the\ninter-operator coordination arising in the optimization problem so that the\naggregated interference at the primary users (PUs) does not exceed the target\nthreshold. While this problem is easily solvable if a centralized unit could\naccess information of all secondary operators, it becomes challenging in a\nrealistic scenario. In this paper, considering a satellite setting, we\nalleviate this problem by proposing two approaches to reduce the information\nexchange level among the secondary operators. In the first approach, we\nformulate an RA scheme based on a partial information sharing method which\nenables distributed optimization across secondary operators. In the second\napproach, instead of exchanging secondary users (SUs) information, the\noperators only exchange their contributions of the interference-level and RA is\nperformed locally across secondary operators. These two approaches, for the\nfirst time in this context, provide a trade-off between performance and level\nof inter-operator information exchange. Through the numerical simulations, we\nexplain this trade-off and illustrate the penalty resulting from partial\ninformation exchange.\n