Skip to Main content Skip to Navigation
New interface
Conference papers

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
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Guillaume Villemaud Connect in order to contact the contributor
Submitted on : Thursday, December 4, 2014 - 8:53:38 AM
Last modification on : Wednesday, March 9, 2022 - 3:30:13 PM
Long-term archiving on: : Monday, March 9, 2015 - 5:56:32 AM


Files produced by the author(s)




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⟩



Record views


Files downloads