Abstract
We propose a method that uses long term information on the use of primary channels to select the most auspicious ones to be sensed and exploited by cognitive radios at the requesting time. These channels are investigated in more detail over the short term. Sensing results are stored in the short term database and used to predict which channels are best for data transmission. The method makes the operation of cognitive radios more reliable and efficient in terms of delay and throughput, and decreases collisions with primary users.
Original language | English |
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Title of host publication | 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010) |
Pages | 1-5 |
ISBN (Electronic) | 978-1-4244-8132-3, 978-1-4244-8130-9 |
DOIs | |
Publication status | Published - 2010 |
MoE publication type | A4 Article in a conference publication |
Event | 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010 - Roma, Italy Duration: 7 Nov 2010 → 10 Nov 2010 Conference number: 3 |
Conference
Conference | 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010 |
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Abbreviated title | ISABEL 2010 |
Country/Territory | Italy |
City | Roma |
Period | 7/11/10 → 10/11/10 |
Keywords
- Learning
- predictive channel selection
- dynamic spectrum access