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Spectrum Handoff for Anti-interference in Cognitive Radio Networks

Published: 11 April 2022 Publication History

Abstract

In this paper, spectrum handoff for anti-interference in cognitive radio networks (CRNs) under dynamic channel conditions is studied. We first model the problem as a stochastic game, where the utility function of each player (i.e., the primary user, PU) is designed as the weighted integrated interference (WII) suffered by the receivers in the cluster. Then, a simple spectrum handoff algorithm based on stochastic learning algorithm (SLA) is proposed to obtain the Nash Equilibrium (NE) points. Moreover, the algorithm only needs little signaling overhead. Finally, we verify the advantages of proposed algorithm over Best-response dynamics through simulation analysis.

References

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B. Ning, G. Sun, J. Li, A. Zhang, W. Hao and S. Yang, "Resource Allocation in Multi-User Cognitive Radio Network With Stackelberg Game," in IEEE Access, vol. 8, pp. 58260-58270, 2020.
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Y. Wu, F. Hu, Y. Zhu and S. Kumar, "Optimal Spectrum Handoff Control for CRN Based on Hybrid Priority Queuing and Multi-Teacher Apprentice Learning," in IEEE Transactions on Vehicular Technology, vol. 66, no. 3, pp. 2630-2642, March 2017. .
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cover image ACM Other conferences
ICIT '21: Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City
December 2021
584 pages
ISBN:9781450384971
DOI:10.1145/3512576
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 April 2022

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Author Tags

  1. Anti-interference
  2. Cognitive radio networks
  3. Game theory
  4. Spectrum handoff

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ICIT 2021
ICIT 2021: IoT and Smart City
December 22 - 25, 2021
Guangzhou, China

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