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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaofei Chen Nagaraj, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Electr. & Comput. Eng. Dept, San Diego State Univ., San Diego, CA (Xiaofei Chen; Nagaraj, S.) |
| Abstract | Cognitive radio (CR) is defined as an intelligent wireless communication, which has the capability of sensing and utilizing the underutilized spectrum resources. One of the key problems is how to efficiently and successfully detect the spectrum hole. In this paper, an entropy based technique for detection of primary users in cognitive radio networks with unknown noise and interference levels will be discussed. The likelihood ratio test will be used to examine the presence or absence of the primary user by comparing the empirical entropy of the received signal to a suitable threshold. In this paper, we will assume the primary user's signaling waveform is known by the cognitive radios and the matched-filter based detection will be specifically considered. |
| Starting Page | 57 |
| Ending Page | 61 |
| File Size | 146271 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424418695 |
| ISSN | 19345070 |
| DOI | 10.1109/WTS.2008.4547544 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Cognitive Radio Impedance matching Spectrum Sensing Detectors Interference Chromium Entropy Cognitive radio Testing Noise level Context modeling |
| Content Type | Text |
| Resource Type | Article |
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