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Probabilistic and partial edge caching based cooperative spectrum sharing in large-scale cognitive radio networks.

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Title: Probabilistic and partial edge caching based cooperative spectrum sharing in large-scale cognitive radio networks.
Authors: Gao, Jie1 (AUTHOR) gao_jie@mail.sdu.edu.cn, Zhai, Chao1 (AUTHOR) chaozhai@sdu.edu.cn, Zhang, Xinyue1 (AUTHOR) xinyuezhang@mail.sdu.edu.cn, Zheng, Lina1 (AUTHOR) zhenglina@sdu.edu.cn
Source: EURASIP Journal on Wireless Communications & Networking. 2/15/2026, Vol. 2026 Issue 1, p1-23. 23p.
Subjects: Cognitive radio, Spectrum allocation, Bandwidth allocation, Network performance
Abstract: In this work, we propose a cooperative spectrum sharing scheme based on probabilistic and partial edge caching in cognitive radio networks. The primary system contains primary users (PUs) and base stations (BSs), and the secondary system contains secondary transmitters (STs), secondary receivers (SRs), and secondary helpers (SHs). Each PU is associated with the nearest BS and owns the licensed spectrum. SHs cache the required files of PUs with certain probabilities and ratios, and actively assist the transmission to PUs in exchange for spectrum resources for SUs. In each cell, an SH adaptively cooperates with BS to transfer the requested file contents to the PU; thereby, the communication performance of the primary system can be more easily satisfied. As a reward, spectrum can be released to the secondary system in frequency and time domains. An optimization problem is formulated to maximize the area throughput of the secondary system while satisfying the performance requirement of the primary system. An algorithm is proposed to jointly determine file caching probabilities and ratios, and spectrum sharing time and bandwidth. Numerical results show that, compared with the most popular and uniform content placement schemes, our proposed scheme can greatly improve the system area throughput. [ABSTRACT FROM AUTHOR]
Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Probabilistic and partial edge caching based cooperative spectrum sharing in large-scale cognitive radio networks.
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  Data: <searchLink fieldCode="DE" term="%22Cognitive+radio%22">Cognitive radio</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+allocation%22">Spectrum allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Bandwidth+allocation%22">Bandwidth allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: In this work, we propose a cooperative spectrum sharing scheme based on probabilistic and partial edge caching in cognitive radio networks. The primary system contains primary users (PUs) and base stations (BSs), and the secondary system contains secondary transmitters (STs), secondary receivers (SRs), and secondary helpers (SHs). Each PU is associated with the nearest BS and owns the licensed spectrum. SHs cache the required files of PUs with certain probabilities and ratios, and actively assist the transmission to PUs in exchange for spectrum resources for SUs. In each cell, an SH adaptively cooperates with BS to transfer the requested file contents to the PU; thereby, the communication performance of the primary system can be more easily satisfied. As a reward, spectrum can be released to the secondary system in frequency and time domains. An optimization problem is formulated to maximize the area throughput of the secondary system while satisfying the performance requirement of the primary system. An algorithm is proposed to jointly determine file caching probabilities and ratios, and spectrum sharing time and bandwidth. Numerical results show that, compared with the most popular and uniform content placement schemes, our proposed scheme can greatly improve the system area throughput. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1186/s13638-026-02578-w
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Spectrum allocation
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      – SubjectFull: Bandwidth allocation
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              M: 02
              Text: 2/15/2026
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