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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Wang Zhiyong Feng Ping Zhang Dongyan Huang |
| Copyright Year | 2012 |
| Abstract | In this paper, a novel MAC-layer spectrum sensing scheme base on continuous-time semi-Markov process is investigated for the purpose of improving spectrum sensing efficiency of cognitive radio (CR) systems. The scheme focuses on identification of the optimal sensing sequence of channel by modeling a group of licensed channels' usage pattern as a continuous-time semi-Markov process. Experimental results show that the proposed algorithm has the potential to achieve noticeably improved performance in terms of reduction the sensing overhead and second user's average throughput when compared to the conventional non-prioritization spectrum sensing approach, thus is suitable for CR networks. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 149175 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467309899 |
| ISSN | 15502252 |
| e-ISBN | 9781467309905 |
| e-ISBN | 9781467309882 |
| DOI | 10.1109/VETECS.2012.6240157 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-06 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Hidden Markov models Data communication Cognitive radio Throughput Indexes Simulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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