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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sibomana, L. Zepernick, H.-J. Hung Tran Kabiri, C. |
| Copyright Year | 2013 |
| Description | Author affiliation: Blekinge Inst. of Technol., Karlskrona, Sweden (Sibomana, L.; Zepernick, H.-J.; Hung Tran; Kabiri, C.) |
| Abstract | In this paper, we investigate a downlink model for underlay cognitive radio networks (CRNs). In particular, we assume that the secondary transmitter (SU-Tx) sends common packets to secondary receivers (SU-Rx) under the outage constraint of a single primary user (PU) and the peak transmit power constraint of the SU-Tx. All channels undergo Rayleigh fading. Given these settings, an adaptive transmit power policy for the SU-Tx is considered. Moreover, the cumulative distribution function (CDF) and probability density function (PDF) for packet transmission time are derived to analyze the timeout probability, the average packet transmission time and the average time a packet spends in the system for the SU-Rx having the best channel condition. Numerical results are provided to investigate the impact of the PU transmit power and channel mean powers on secondary network performance. The results show that when the number of SU-Rx becomes large, the timeout probability and the packet average time in the system decrease to a minimum. |
| Sponsorship | IEEE Italy Sect. |
| Starting Page | 791 |
| Ending Page | 796 |
| File Size | 496685 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467324793 |
| e-ISBN | 9781467324809 |
| DOI | 10.1109/IWCMC.2013.6583658 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-01 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fading System performance Noise Interference timeout probability Probability density function Downlink average packet transmission time Delays adaptive transmit power policy Cognitive radio networks |
| Content Type | Text |
| Resource Type | Article |
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