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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rezki, Z. Alouini, M. |
| Copyright Year | 1967 |
| Abstract | A spectrum-sharing communication system where the secondary user is aware of the instantaneous channel-state information (CSI) of the secondary link but knows only the statistics and an estimated version of the secondary transmitter-primary receiver link is investigated. The optimum power profile and the ergodic capacity of the secondary link are derived for general fading channels [with a continuous probability density function (pdf)] under the average and peak transmit power constraints and with respect to the following two different interference constraints: 1) an interference outage constraint and 2) a signal-to-interference outage constraint. When applied to Rayleigh fading channels, our results show, for example, that the interference constraint is harmful at the high-power regime, because the capacity does not increase with the power, whereas at the low-power regime, it has a marginal impact and no-interference performance, which corresponds to the ergodic capacity under average or peak transmit power constraint in the absence of the primary user, may be achieved. |
| Sponsorship | IEEE Vehicular Technology Society |
| Starting Page | 2108 |
| Ending Page | 2119 |
| Page Count | 12 |
| File Size | 892938 |
| File Format | |
| ISSN | 00189545 |
| Volume Number | 61 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interference Receivers Silicon Radio transmitters Channel estimation Fading Cognitive radio spectrum sharing Cognitive radio (CR) ergodic capacity and interference outage constraint optimal power allocation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering |
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