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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Xin Kang Garg, H. Ying-Chang Liang Rui Zhang | 
| Copyright Year | 2002 | 
| Abstract | This paper considers a spectrum underlay network, where an OFDM-based cognitive radio (CR) system is allowed to share the subcarriers of an OFDMA-based primary system for simultaneous transmission. Instead of using the conventional interference power constraint (IPC) to protect the primary users (PUs) in the primary system, a new criterion referred to as rate loss constraint (RLC), in the form of an upper bound on the maximum rate loss of each PU due to the CR transmission, is proposed for primary transmission protection. Assuming the channel state information (CSI) of the PU link, the CR link, and their mutual interference links is available to the CR, the optimal power allocation strategy to maximize the achievable rate of the CR system is derived under RLC together with CR¿s transmit power constraint. It is shown that the CR system can achieve a significant rate gain under RLC as compared to IPC. Furthermore, the relationship between RLC and IPC is investigated, and it is shown that the rate gain is obtained by exploiting the additional CSI of the PU link. A more general case referred to as hybrid protection to PUs is then studied, by taking into account that some PU links¿ CSI is not available at CR. | 
| File Size | 709279 | 
| File Format | |
| ISSN | 15361276 | 
| Volume Number | 9 | 
| Issue Number | 6 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2010-06-01 | 
| Publisher Place | U.S.A. | 
| Access Restriction | One Nation One Subscription (ONOS) | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Cognitive radio Chromium Power system protection OFDM Interference constraints Propagation losses FCC Upper bound Channel state information Power control Cognitive radio, convex optimization, OFDM, power control, spectrum sharing | 
| Content Type | Text | 
| Resource Type | Article | 
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications | 
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