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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shanshan Wang Sagduyu, Y.E. Junshan Zhang Li, J.H. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, 85287, USA (Shanshan Wang; Junshan Zhang) || Intelligent Automation, Inc., Rockville, MD 20855, USA (Sagduyu, Y.E.; Li, J.H.) |
| Abstract | We consider a cognitive radio network where primary users (PUs) employ network coding for data transmissions. We view network coding as a spectrum shaper, in the sense that it increases spectrum availability to secondary users (SUs) and offers more structure of spectrum holes, which in turn improves the predictability of the primary spectrum. With this spectrum shaping effect of network coding, each SU can carry out adaptive channel sensing by dynamically updating the list of the (predicted) idle PU channels and giving priority to these channels for spectrum sensing. This dynamic spectrum access approach with network coding improves how SUs detect and utilize spectrum holes over PU channels. Our results show that compared to the existing approaches based on retransmission, both PUs and SUs can achieve higher stable throughput, thanks to the spectrum shaping effect of network coding. |
| Starting Page | 396 |
| Ending Page | 400 |
| File Size | 304007 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424499199 |
| ISSN | 0743166X |
| e-ISBN | 9781424499212 |
| DOI | 10.1109/INFCOM.2011.5935190 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Network coding Throughput Markov processes Automatic repeat request Cognitive radio Adaptive systems dynamic spectrum access Cognitive radio networks network coding spectrum shaping |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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