Distributed Resource Allocation Algorithms for Multi-Operator Cognitive Communication Systems
| Autor: | David Gesbert, Philippe Ciblat, Ehsan Tohidi |
|---|---|
| Přispěvatelé: | CIBLAT, Philippe, Eurecom [Sophia Antipolis], Département Communications & Electronique (COMELEC), Télécom ParisTech, Communications Numériques (COMNUM), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Signal Processing (eess.SP)
Optimization problem Computer science [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Distributed computing Context (language use) 02 engineering and technology Communications system [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] [MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT] [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [STAT.AP] Statistics [stat]/Applications [stat.AP] FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Resource management Electrical Engineering and Systems Science - Signal Processing Information exchange [STAT.AP]Statistics [stat]/Applications [stat.AP] [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI] Information sharing [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT] 020206 networking & telecommunications Cognitive radio [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT] Resource allocation 020201 artificial intelligence & image processing [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT] |
| Zdroj: | European Signal Processing Conference (EUSIPCO) European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands EUSIPCO |
| Popis: | We address the problem of resource allocation (RA) in a cognitive radio (CR) communication system with multiple secondary operators sharing spectrum with an incumbent primary operator. The key challenge of the RA problem is the inter-operator coordination arising in the optimization problem so that the aggregated interference at the primary users (PUs) does not exceed the target threshold. While this problem is easily solvable if a centralized unit could access information of all secondary operators, it becomes challenging in a realistic scenario. In this paper, considering a satellite setting, we alleviate this problem by proposing two approaches to reduce the information exchange level among the secondary operators. In the first approach, we formulate an RA scheme based on a partial information sharing method which enables distributed optimization across secondary operators. In the second approach, instead of exchanging secondary users (SUs) information, the operators only exchange their contributions of the interference-level and RA is performed locally across secondary operators. These two approaches, for the first time in this context, provide a trade-off between performance and level of inter-operator information exchange. Through the numerical simulations, we explain this trade-off and illustrate the penalty resulting from partial information exchange. arXiv admin note: text overlap with arXiv:2005.02746 |
| Databáze: | OpenAIRE |
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