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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | El Din, M.S. El-Tarhuni, M. Assaleh, K. Kiranyaz, S. |
| Copyright Year | 2015 |
| Abstract | In this paper, we propose an improved spectrum access algorithm for cognitive radio applications using a Hidden Markov Model (HMM) for learning the primary user channel usage pattern. The proposed scheme maximizes the channel utilization without causing significant interference to the primary user. Simulation results show that the proposed algorithm provides about 3 times improvement in channel utilization compared to the system proposed in [1], with a slight degradation in collision probability. It is also observed that the proposed scheme performance is robust to variations in the primary user behavior. |
| Starting Page | 116 |
| Ending Page | 119 |
| File Size | 263307 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479989669 |
| DOI | 10.1109/ICTRC.2015.7156435 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-17 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hidden Markov models Interference Spectrum access Prediction algorithms Sensors Cognitive radio Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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