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| Content Provider | IET Digital Library |
|---|---|
| Author | Mukherjee, Amrit Goswami, Pratik Yan, Ziwei Yang, Lixia |
| Abstract | Wireless sensor network enhances the classic features of wireless communication with cognitive capabilities for efficient spectrum usage. This work focuses on the dynamic correlation between the secondary users (SUs) based on their statistical behaviour while performing the cooperative communication in cognitive radio sensor network. The proposed approach addresses the problem of uneven and repetitive communication between the SUs in a cooperative communication scenario. The authors’ objective is to use a novel approach based on the Gaussian copula theory and advanced particle swarm optimisation algorithm to analyse the dependencies of time-varying spectrum sensing behaviour of multiple SUs. Here, time delay in prediction reduces due to the analysis of the dynamic correlation between the time delay in spectrum sensing results for the same set of channels. The simulation results show the performance of the proposed approach outperforming the other well-known techniques. |
| Starting Page | 1658 |
| Ending Page | 1665 |
| Page Count | 8 |
| ISSN | 17518628 |
| Volume Number | 14 |
| e-ISSN | 17518636 |
| Issue Number | Issue 10, Jun (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/14/10 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0750 |
| Journal | IET Communications |
| Publisher Date | 2020-03-17 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Advanced Particle Swarm Optimisation Algorithm Cognitive Capabilities Cognitive Radio Cooperative Communication Cooperative Communication Scenario Efficient Spectrum Usage Energy Conservation Energy Efficient Dynamic Correlation Behaviour Gaussian Copula Theory Gaussian Processes Multiple SUs Optimisation Technique Particle Swarm Optimisation Probability Theory Radio Spectrum Management Repetitive Communication Secondary Node Cognitive Radio Sensor Network Secondary User Signal Detection Spectrum Sensing Result Statistical Behaviour Statistics Stochastic Linearised SCUC Telecommunication Power Management Time Delay Time-varying Spectrum Sensing Behaviour Uneven Communication Wireless Communication System Wireless Sensor Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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