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Performance analysis of end-to-end SNR estimators for AF relaying
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Zhou, Yulin and Chen, Yunfei (2018) Performance analysis of end-to-end SNR estimators for AF relaying. Telecommunications Systems, 67 (2). pp. 269-280. doi:10.1007/s11235-017-0327-y ISSN 1018-4864.
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WRAP-performance-analysis-end-to-end-SNR-Chen-2017.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1054Kb) |
Official URL: https://doi.org/10.1007/s11235-017-0327-y
Abstract
Many existing signal-to-noise ratio (SNR) estimators were designed and evaluated for conventional one-hop communications systems. However, for a relaying system, it is the end-to-end SNR that determines the system performance. In this paper, we will fill this gap by evaluating the performances of the existing SNR estimators in a dual-hop relaying system used for each hop. The probability density functions of the SNR estimators are first derived, whose parameters are fitted as functions of the sample size and the true value of SNR. Using them, the cumulative distribution functions of the end-to-end SNR and the bit error rate performance for a relaying system are derived. Numerical results show that the squared signal-to-noise variance estimator has the best performance for small SNRs and the second-order fourth-order moments estimator has the best performance for large SNRs, while the signalto-variation ratio estimator has the worst performance, among the existing SNR estimators, for AF relaying systems.
| Item Type: | Journal Article | ||||||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| Journal or Publication Title: | Telecommunications Systems | ||||||||
| Publisher: | Springer New York LLC | ||||||||
| ISSN: | 1018-4864 | ||||||||
| Official Date: | February 2018 | ||||||||
| Dates: |
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| Volume: | 67 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 269-280 | ||||||||
| DOI: | 10.1007/s11235-017-0327-y | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 26 April 2017 | ||||||||
| Date of first compliant Open Access: | 23 May 2018 | ||||||||
| Related URLs: |
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