| An Chunyan（安春燕）②*,Ji Hong*,Si Pengbo**,Maoxu*.[J].高技术通讯(英文),2011,17(4):371~376 |
|
| Spectrum sensing sequence prediction in cognitive radio networks① |
| |
| DOI： |
| 中文关键词: |
| 英文关键词: spectrum sensing sequence prediction, cognitive radio network, Ziv-Lempel algorithm |
| 基金项目: |
| Author Name | Affiliation | | An Chunyan（安春燕）②* | | | Ji Hong* | | | Si Pengbo** | | | Maoxu* | |
|
| Hits: 697 |
| Download times: 0 |
| 中文摘要: |
| |
| 英文摘要: |
| Spectrum sensing is one of the key issues in cognitive radio networks. Most of previous work concentrates on sensing the spectrum in a single spectrum band. In this paper, we propose a spectrum sensing sequence prediction scheme for cognitive radio networks with multiple spectrum bands to decrease the spectrum sensing time and increase the throughput of secondary users. The scheme is based on recent advances in computational learning theory, which has shown that prediction is synonymous with data compression. A Ziv-Lempel data compression algorithm is used to design our spectrum sensing sequence prediction scheme. The spectrum band usage history is used for the prediction in our proposed scheme. Simulation results show that the proposed scheme can reduce the average sensing time and improve the system throughput significantly. |
|
View Full Text
View/Add Comment Download reader |
| Close |
|
|
|
