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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chihkai Chen Kung Yao |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical Engineering University of California, Los Angeles, Los Angeles, CA 90095, USA (Chihkai Chen; Kung Yao) |
| Abstract | The explosive demands of real-time multimedia services in broadband wireless 4G cellular/public safety (PS) network systems impose challenges on efficient spectrum utilization. In this paper, we consider the use of cognitive radio network (CRN) methodology for distributed cooperative spectrum sensing enabling efficient dynamic spectrum allocation and management. CRs join and leave the systems under different conditions. We use the semi-Markov random process to model the dynamic behavior of the number of CR users and log-normal and Pareto distributions to model the cooperation time in the analytical derivation of the dynamic probability mass function of the number of CR's. Closed form expressions are obtained for the dynamic probabilities of detection and false alarm for cooperative spectrum sensing over fading channels for cellular and PS systems. Several simulations are provided illustrating the usefulness of these models for dynamic spectrum allocation for potential practical system analysis and design. |
| Starting Page | 157 |
| Ending Page | 162 |
| File Size | 227078 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467349420 |
| e-ISBN | 9781467349413 |
| e-ISBN | 9781467349406 |
| DOI | 10.1109/GLOCOMW.2012.6477562 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication dynamic spectrum sensing/allocation Wireless sensor networks celluar/public safety network systems Cognitive radios and CR networks Hidden Markov models Dynamic scheduling Sensors Safety Resource management |
| Content Type | Text |
| Resource Type | Article |
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