A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing
With the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of wideband wireless signals at once. Therefore, i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/19/4090 |
| _version_ | 1797999636932198400 |
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| author | Yangyi Chen Shaojing Su Junyu Wei |
| author_facet | Yangyi Chen Shaojing Su Junyu Wei |
| author_sort | Yangyi Chen |
| collection | DOAJ |
| description | With the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of wideband wireless signals at once. Therefore, it is required that the wideband wireless signal has to be split into a set of sub-bands before the further signal processing. However, the sequence of sub-band perception has become one of the important factors, which deeply-impact wideband spectrum sensing performance. In this paper, we develop a novel approach for sub-band selection through the non-stationary multi-arm bandit (NS-MAB) model. This approach is based on a well-known order optimal policy for NS-MAB mode called discounted upper confidence bound (D-UCB) policy. In this paper, according to different application requirements, various discount functions and exploration bonuses of D-UCB are designed, which are taken as the parameters of the policy proposed in this paper. Our simulation result demonstrates that the proposed policy can provide lower cumulative regret than other existing state-of-the-art policies for sub-band selection of wideband spectrum sensing. |
| first_indexed | 2024-04-11T11:07:49Z |
| format | Article |
| id | doaj.art-c619ba17e95a40fd9e515df20c0e4890 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:07:49Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c619ba17e95a40fd9e515df20c0e48902022-12-22T04:28:14ZengMDPI AGSensors1424-82202019-09-011919409010.3390/s19194090s19194090A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum SensingYangyi Chen0Shaojing Su1Junyu Wei2College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, ChinaWith the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of wideband wireless signals at once. Therefore, it is required that the wideband wireless signal has to be split into a set of sub-bands before the further signal processing. However, the sequence of sub-band perception has become one of the important factors, which deeply-impact wideband spectrum sensing performance. In this paper, we develop a novel approach for sub-band selection through the non-stationary multi-arm bandit (NS-MAB) model. This approach is based on a well-known order optimal policy for NS-MAB mode called discounted upper confidence bound (D-UCB) policy. In this paper, according to different application requirements, various discount functions and exploration bonuses of D-UCB are designed, which are taken as the parameters of the policy proposed in this paper. Our simulation result demonstrates that the proposed policy can provide lower cumulative regret than other existing state-of-the-art policies for sub-band selection of wideband spectrum sensing.https://www.mdpi.com/1424-8220/19/19/4090sub-band selectionnon-stationary multi-armed banditwideband spectrum sensing |
| spellingShingle | Yangyi Chen Shaojing Su Junyu Wei A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing Sensors sub-band selection non-stationary multi-armed bandit wideband spectrum sensing |
| title | A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing |
| title_full | A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing |
| title_fullStr | A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing |
| title_full_unstemmed | A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing |
| title_short | A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing |
| title_sort | policy for optimizing sub band selection sequences in wideband spectrum sensing |
| topic | sub-band selection non-stationary multi-armed bandit wideband spectrum sensing |
| url | https://www.mdpi.com/1424-8220/19/19/4090 |
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