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HOS-based mode classification for infomobility framework
| Content Provider | ACM Digital Library |
|---|---|
| Author | Cattoni, Andrea F. Regazzoni, Carlo S. Raffetto, Mirco Ottonello, Marina |
| Abstract | The growing number of new emerging wireless standards is creating regulatory problems in allocating the unlicensed frequencies. A possible solution for increasing the frequency reusage within the framework of info-mobility cellular systems is the joint exploitation of Smart Antennas and Cognitive Radio. Inside this framework a key-role is played by Mode Identification and Spectrum monitoring algorithms, useful to provide awareness about the channel conditions. In the paper a Mode Identification algorithm, based on the extraction of higher order statistics from frequency distribution of the involved communication modalities and multiple support vector machine classifiers, for a Cognitive Base Transceiver Station is presented. Simulated results, obtained in a simplified framework, will prove the effectiveness of the proposed approach. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781605588681 |
| DOI | 10.1145/1577382.1577388 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-08-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Mode identification Svm Cognitive radio |
| Content Type | Text |
| Resource Type | Article |
