Realistic prediction of outage probability and confidence interval of BER for indoor radio communications

Meiling Luo 1 Guillaume Villemaud 1 Jean-Marie Gorce 1 Jie Zhang 2
1 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
2 University of Sheffield [Sheffield]
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.
Keywords : Index Terms—outage probability BER indoor radio propaga-tion
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Conference papers
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Meiling Luo, Guillaume Villemaud, Jean-Marie Gorce, Jie Zhang. Realistic prediction of outage probability and confidence interval of BER for indoor radio communications. EUCAP 2014, Apr 2014, The Hague, Netherlands. pp.2105 - 2109, ⟨10.1109/EuCAP.2014.6902223⟩. ⟨hal-01090704⟩

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