Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio
Primary channel mean period plays an important role in improving the performance of Dynamic Spectrum Access (DSA), because many algorithms to improve the performance of Cognitive Radio (CR) need to use the channel mean period as a prior knowledge. Secondary Users (SUs) can obtain statistics of the p...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9775812/ |
| _version_ | 1818504740112171008 |
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| author | Weiqin Li Guoliang Shentu Xiang Gao |
| author_facet | Weiqin Li Guoliang Shentu Xiang Gao |
| author_sort | Weiqin Li |
| collection | DOAJ |
| description | Primary channel mean period plays an important role in improving the performance of Dynamic Spectrum Access (DSA), because many algorithms to improve the performance of Cognitive Radio (CR) need to use the channel mean period as a prior knowledge. Secondary Users (SUs) can obtain statistics of the primary channel by spectrum sensing. However, SUs’ estimation of the mean period is inaccurate due to errors in the spectrum sensing in the real world, which will lead to performance degradation of CR systems. In this paper, we use a two-state Markov chain to model channel states, and use state transition probability to analyze the influence of sensing errors on the mean period. At the same time, we derive the estimation formula of the mean period of the original channel. Simulation results confirm that the proposed estimation method is superior to the existing estimation methods, and can accurately estimate the original period even with high sensing error probability. |
| first_indexed | 2024-12-10T21:41:16Z |
| format | Article |
| id | doaj.art-b97127d5a33548c78d9a9acb27d9724c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-10T21:41:16Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b97127d5a33548c78d9a9acb27d9724c2022-12-22T01:32:30ZengIEEEIEEE Access2169-35362022-01-0110524105241710.1109/ACCESS.2022.31758529775812Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive RadioWeiqin Li0https://orcid.org/0000-0001-5898-0193Guoliang Shentu1Xiang Gao2https://orcid.org/0000-0001-7429-7239School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, ChinaShandong Guoyao Quantum Lidar Technology Company Ltd., Jinan, ChinaSchool of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, ChinaPrimary channel mean period plays an important role in improving the performance of Dynamic Spectrum Access (DSA), because many algorithms to improve the performance of Cognitive Radio (CR) need to use the channel mean period as a prior knowledge. Secondary Users (SUs) can obtain statistics of the primary channel by spectrum sensing. However, SUs’ estimation of the mean period is inaccurate due to errors in the spectrum sensing in the real world, which will lead to performance degradation of CR systems. In this paper, we use a two-state Markov chain to model channel states, and use state transition probability to analyze the influence of sensing errors on the mean period. At the same time, we derive the estimation formula of the mean period of the original channel. Simulation results confirm that the proposed estimation method is superior to the existing estimation methods, and can accurately estimate the original period even with high sensing error probability.https://ieeexplore.ieee.org/document/9775812/Cognitive radiodynamic spectrum accessspectrum sensingmean period |
| spellingShingle | Weiqin Li Guoliang Shentu Xiang Gao Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio IEEE Access Cognitive radio dynamic spectrum access spectrum sensing mean period |
| title | Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio |
| title_full | Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio |
| title_fullStr | Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio |
| title_full_unstemmed | Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio |
| title_short | Estimation of Primary Channel Mean Period Based on State Transition Probability in Cognitive Radio |
| title_sort | estimation of primary channel mean period based on state transition probability in cognitive radio |
| topic | Cognitive radio dynamic spectrum access spectrum sensing mean period |
| url | https://ieeexplore.ieee.org/document/9775812/ |
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