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Realistic prediction of outage probability and confidence interval of BER for indoor radio communications
Abstract : Outage probability and Bit Error Rate (BER) are both important link quality parameters for wireless communica-tion systems. In this paper, the error in dB between the Multi-Resolution Frequency-Domain ParFlow (MR-FDPF) model and the channel measurement is first modeled to follow the normal distribution which is verified by performing the Lilliefors good-ness of fit test. Then a realistic BER map as well as its confidence interval can be predicted. In addition, the normally distributed error in dB can be regarded as a kind of lognormal shadowing introduced by the MR-FDPF model due to, for instance, the inaccurate scenario modeling. Then a realistic outage probability can be computed by taking into account both the large scale lognormal shadowing and the small scale Nakagami-m fading.
Cited literature [14 references]
https://hal.inria.fr/hal-01090704
Contributor : Guillaume Villemaud <>
Submitted on : Thursday, December 4, 2014 - 8:53:38 AM
Last modification on : Wednesday, July 8, 2020 - 12:43:08 PM
Long-term archiving on: : Monday, March 9, 2015 - 5:56:32 AM
Contributor : Guillaume Villemaud <>
Submitted on : Thursday, December 4, 2014 - 8:53:38 AM
Last modification on : Wednesday, July 8, 2020 - 12:43:08 PM
Long-term archiving on: : Monday, March 9, 2015 - 5:56:32 AM
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Luo_EUCAP2014.pdf
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