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30 June 2020
Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology
Peixiang Cai(
),
),
Keywords:
cognitive radio, spectrum sensing, dynamic spectrum access, coding technology, reinforcement learning, joint optimization
Cite this article:
Cai P, Zhang Y.
Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology.
Intelligent and Converged Networks,
2020, 1(1): 79-98.
https://doi.org/10.23919/ICN.2020.0006
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For a future scenario where everything is connected, cognitive technology can be used for spectrum sensing and access, and emerging coding technologies can be used to address the erasure of packets caused by dynamic spectrum access and realize cognitive spectrum collaboration among users in mass connection scenarios. Machine learning technologies are being increasingly used in the implementation of smart networks. In this paper, after an overview of several key technologies in the cognitive spectrum collaboration, a joint optimization algorithm of dynamic spectrum access and coding is proposed and implemented using reinforcement learning, and the effectiveness of the algorithm is verified by simulations, thus providing a feasible research direction for the realization of cognitive spectrum collaboration.
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Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology
Peixiang Cai(
),
),
Abstract
For a future scenario where everything is connected, cognitive technology can be used for spectrum sensing and access, and emerging coding technologies can be used to address the erasure of packets caused by dynamic spectrum access and realize cognitive spectrum collaboration among users in mass connection scenarios. Machine learning technologies are being increasingly used in the implementation of smart networks. In this paper, after an overview of several key technologies in the cognitive spectrum collaboration, a joint optimization algorithm of dynamic spectrum access and coding is proposed and implemented using reinforcement learning, and the effectiveness of the algorithm is verified by simulations, thus providing a feasible research direction for the realization of cognitive spectrum collaboration.
Keywords:
cognitive radio, spectrum sensing, dynamic spectrum access, coding technology, reinforcement learning, joint optimization
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Received: 26 February 2020
Accepted: 09 June 2020
Published:
30 June 2020
Issue date: June 2020
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 61790553), Shenzhen Science and Technology Plan Projects (No. JCYJ20180306170614484), and Shanghai Municipal Science and Technology Major Project (No. 2018SHZDZX04).
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This work is available under the CC BY-NC-ND 3.0 IGO license: https://creativecommons.org/licenses/by-nc-nd/3.0/igo/.
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