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https://open.uns.ac.rs/handle/123456789/318
Nаziv: | Quasi-Analytical Simulation Method for Estimating the Error Probability of Star Domain Decoders | Аutоri: | Minja, Aleksandar Šenk, Vojin |
Dаtum izdаvаnjа: | 1-мај-2019 | Čаsоpis: | IEEE Transactions on Communications | Sažetak: | © 1972-2012 IEEE. Evaluating the block error rate of a digital communication system is usually done using the Monte Carlo (MC) simulation method. The main drawback of the Monte Carlo method is the need of a huge sample size for estimating low error rates. Other methods commonly used are the importance sampling technique and the quasi-analytical method. This paper introduces the metric star domain decoder model and shows that many practical decoders fall into this category. The main result is the introduction of a novel SNR-invariant quasi-analytical technique for estimating the block error rate of a communication link over the geodesic channel model (a generalization of a vast number of commonly used channels, including binary symmetric channel, BEC, and AWGN channel) with a metric star domain decoder used at the receiver. This technique outperforms the Monte Carlo and importance sampling methods in both accuracy and speed. It is shown that our quasi-analytical method is at least 103 times faster than MC and 10 times faster than IS for the same accuracy. | URI: | https://open.uns.ac.rs/handle/123456789/318 | ISSN: | 906778 | DOI: | 10.1109/TCOMM.2019.2895829 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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