Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing
Abstract Due to the ever‐growing applications and services of the Internet of Things (IoT), designing energy‐efficient and spectral‐efficient transmission schemes to support IoT devices for the 6G space–air–ground integrated networks becomes much more challenging. Fortunately, energy harvesting (EH)...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Communications |
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| Online Access: | https://doi.org/10.1049/cmu2.12728 |
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| author | Kechen Zheng Jiahong Wang Anping Chen Wendi Sun Xiaoying Liu Jia Liu |
| author_facet | Kechen Zheng Jiahong Wang Anping Chen Wendi Sun Xiaoying Liu Jia Liu |
| author_sort | Kechen Zheng |
| collection | DOAJ |
| description | Abstract Due to the ever‐growing applications and services of the Internet of Things (IoT), designing energy‐efficient and spectral‐efficient transmission schemes to support IoT devices for the 6G space–air–ground integrated networks becomes much more challenging. Fortunately, energy harvesting (EH) and cognitive radio (CR) technologies have been proposed to alleviate these challenges. Inspired by this fact, this paper studies the issue of spectrum reuse in terms of spectrum utilization efficiency (SUE) in the energy harvesting cognitive radio network (EH‐CRN), where multiple primary transceiver pairs, one multi‐antenna secondary transmitter (ST), and one secondary base station (SBS) coexist. To characterize the impact of small‐scale fading and improve the SUE of the EH‐CRN with perfect spectrum sensing (SS), an adaptive scheme concerning SS, channel selection, EH, and data transmission (SCED) scheme are proposed, where the ST selects the channels for SS based on the residual energy, and adjusts the duration of EH and data transmission with respect to the sensing results. Then the Markov decision process problem of SUE is formulated, which is challenging due to the infinite system space and action space. To tackle the Markov decision process problem, the system space and action space are discreted, and divide the ST into the energy‐limited case and energy‐sufficient case according to specific energy condition. Moreover, theoretical results are extended to the EH‐CRN with imperfect SS. Numerical results show that the SUE under the SCED scheme in perfect SS and imperfect SS scenarios is better than that under other schemes. |
| format | Article |
| id | doaj-art-bbf844e2a7f94d62ad9483697b1fc2a8 |
| institution | DOAJ |
| issn | 1751-8628 1751-8636 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj-art-bbf844e2a7f94d62ad9483697b1fc2a82025-08-20T02:52:20ZengWileyIET Communications1751-86281751-86362024-12-0118201927194210.1049/cmu2.12728Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensingKechen Zheng0Jiahong Wang1Anping Chen2Wendi Sun3Xiaoying Liu4Jia Liu5School of Computer Science and Technology Zhejiang University of Technology Hangzhou ChinaSchool of Computer Science and Technology Zhejiang University of Technology Hangzhou ChinaSchool of Computer Science and Technology Zhejiang University of Technology Hangzhou ChinaSchool of Computer Science and Technology Zhejiang University of Technology Hangzhou ChinaSchool of Computer Science and Technology Zhejiang University of Technology Hangzhou ChinaCenter for Strategic Cyber Resilience Research and Development National Institute of Informatics Tokyo JapanAbstract Due to the ever‐growing applications and services of the Internet of Things (IoT), designing energy‐efficient and spectral‐efficient transmission schemes to support IoT devices for the 6G space–air–ground integrated networks becomes much more challenging. Fortunately, energy harvesting (EH) and cognitive radio (CR) technologies have been proposed to alleviate these challenges. Inspired by this fact, this paper studies the issue of spectrum reuse in terms of spectrum utilization efficiency (SUE) in the energy harvesting cognitive radio network (EH‐CRN), where multiple primary transceiver pairs, one multi‐antenna secondary transmitter (ST), and one secondary base station (SBS) coexist. To characterize the impact of small‐scale fading and improve the SUE of the EH‐CRN with perfect spectrum sensing (SS), an adaptive scheme concerning SS, channel selection, EH, and data transmission (SCED) scheme are proposed, where the ST selects the channels for SS based on the residual energy, and adjusts the duration of EH and data transmission with respect to the sensing results. Then the Markov decision process problem of SUE is formulated, which is challenging due to the infinite system space and action space. To tackle the Markov decision process problem, the system space and action space are discreted, and divide the ST into the energy‐limited case and energy‐sufficient case according to specific energy condition. Moreover, theoretical results are extended to the EH‐CRN with imperfect SS. Numerical results show that the SUE under the SCED scheme in perfect SS and imperfect SS scenarios is better than that under other schemes.https://doi.org/10.1049/cmu2.12728channel allocationdata communicationradio spectrum management |
| spellingShingle | Kechen Zheng Jiahong Wang Anping Chen Wendi Sun Xiaoying Liu Jia Liu Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing IET Communications channel allocation data communication radio spectrum management |
| title | Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing |
| title_full | Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing |
| title_fullStr | Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing |
| title_full_unstemmed | Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing |
| title_short | Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing |
| title_sort | spectrum utilization improvement for multi channel eh crn with spectrum sensing |
| topic | channel allocation data communication radio spectrum management |
| url | https://doi.org/10.1049/cmu2.12728 |
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