Performance Evaluation of Spectrum Sensing Using Recovered Secondary Frames With Decoding Errors
The performance of spectrum sensing using the recovered secondary frames is analyzed. Unlike the previous work that assumes perfect decoding of the secondary signal, the new analysis takes the decoding errors into account and therefore provides a more realistic comparison between the new model and t...
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| Vydáno v: | IEEE transactions on wireless communications Ročník 11; číslo 8; s. 2934 - 2945 |
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| Hlavní autoři: | , , , |
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| Jazyk: | angličtina |
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New York, NY
IEEE
01.08.2012
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1276, 1558-2248 |
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| Abstract | The performance of spectrum sensing using the recovered secondary frames is analyzed. Unlike the previous work that assumes perfect decoding of the secondary signal, the new analysis takes the decoding errors into account and therefore provides a more realistic comparison between the new model and the conventional model. Both the receiver operating characteristics curves for spectrum sensing and the achievable throughput for data transmission are derived. Effects of fading and error control codes are also investigated. Numerical results show that the new model that considers the decoding error outperforms the conventional model when the number of transmitted secondary frames is below a certain threshold. An upper bound performance can also be obtained by ignoring the decoding error. The threshold is determined by the primary user traffic, the spectrum sensing technique and the secondary signal modulation scheme. |
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| AbstractList | The performance of spectrum sensing using the recovered secondary frames is analyzed. Unlike the previous work that assumes perfect decoding of the secondary signal, the new analysis takes the decoding errors into account and therefore provides a more realistic comparison between the new model and the conventional model. Both the receiver operating characteristics curves for spectrum sensing and the achievable throughput for data transmission are derived. Effects of fading and error control codes are also investigated. Numerical results show that the new model that considers the decoding error outperforms the conventional model when the number of transmitted secondary frames is below a certain threshold. An upper bound performance can also be obtained by ignoring the decoding error. The threshold is determined by the primary user traffic, the spectrum sensing technique and the secondary signal modulation scheme. |
| Author | Hines, Evor L. Chen, Yunfei Nallanathan, Arumugam Tang, Liang |
| Author_xml | – sequence: 1 givenname: Liang surname: Tang fullname: Tang, Liang organization: School of Engineering, University of Warwick, Coventry, CV4 7AL, UK – sequence: 2 givenname: Yunfei surname: Chen fullname: Chen, Yunfei organization: School of Engineering, University of Warwick, Coventry, CV4 7AL, UK – sequence: 3 givenname: Arumugam surname: Nallanathan fullname: Nallanathan, Arumugam organization: Centre for Telecommunications Research, School of Natural and Mathematical Sciences, King's College London, London, WC2R 2LS, UK – sequence: 4 givenname: Evor L. surname: Hines fullname: Hines, Evor L. organization: School of Engineering, University of Warwick, Coventry, CV4 7AL, UK |
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| Keywords | Performance evaluation Fading Information rate Data transmission Decoding Information transmission Upper bound cognitive radio Achievable throughput Spectrum analysis Modulation spectrum sensing Receiver operating characteristic curves Signal processing Numerical simulation Error correcting code Signal analysis Software radio |
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| SubjectTerms | Achievable throughput Analytical models Applied sciences Coding, codes cognitive radio Data communication Decoding Detection Detection, estimation, filtering, equalization, prediction Error analysis Errors Exact sciences and technology Frames Information, signal and communications theory Mathematical models Modulation Numerical models Receivers Sensors Signal and communications theory Signal representation. Spectral analysis Signal, noise spectrum sensing Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Thresholds Throughput Transmission and modulation (techniques and equipments) |
| Title | Performance Evaluation of Spectrum Sensing Using Recovered Secondary Frames With Decoding Errors |
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