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Opportunistic Spectrum Sharing in Cognitive Radio Networks electronic resource by Zhe Wang, Wei Zhang.

By: Wang, Zhe [author.]Contributor(s): Zhang, Wei [author.] | SpringerLink (Online service)Material type: TextTextSeries: SpringerBriefs in Electrical and Computer EngineeringPublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XI, 62 p. 25 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319155425Subject(s): engineering | Computer communication systems | electrical engineering | Engineering | Communications Engineering, Networks | Computer Communication NetworksDDC classification: 621.382 LOC classification: TK1-9971Online resources: Click here to access online
Contents:
Introduction -- Cognitive Point-to-Point Network with Limited Feedback -- Cognitive Scheduling Network with Limited Feedback -- Cognitive Ad Hoc Network with Limited Feedback -- Conclusion.
In: Springer eBooksSummary: This Springer Brief investigates spectrum sharing with limited channel feedback in various cognitive radio systems, such as point-to-point, broadcast scheduling and ad-hoc networks. The design aim is to optimally allocate the secondary resources to improve the throughput of secondary users while maintaining a certain quality of service for primary users. The analytical results of optimal resource allocation are derived via optimization theory and are verified by the numerical results. The results demonstrate the secondary performance is significantly improved by limited feedback and is further improved by more feedback bits, more secondary receivers and more primary side information.
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Introduction -- Cognitive Point-to-Point Network with Limited Feedback -- Cognitive Scheduling Network with Limited Feedback -- Cognitive Ad Hoc Network with Limited Feedback -- Conclusion.

This Springer Brief investigates spectrum sharing with limited channel feedback in various cognitive radio systems, such as point-to-point, broadcast scheduling and ad-hoc networks. The design aim is to optimally allocate the secondary resources to improve the throughput of secondary users while maintaining a certain quality of service for primary users. The analytical results of optimal resource allocation are derived via optimization theory and are verified by the numerical results. The results demonstrate the secondary performance is significantly improved by limited feedback and is further improved by more feedback bits, more secondary receivers and more primary side information.

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