Indoor radio propagation modeling for system performance prediction
type: Distribution
access URL: https://theses.hal.science/tel-00961244
format: HTML
issued: 2026-05-05T23:50:37.411464
modified: 2026-05-05T23:50:37.325832

test_moissonnage_selune
type: Agent

Indoor radio propagation modeling for system performance prediction
type: Dataset
contact point: Organization
  fn: CCSD
keyword: path-loss
keyword: indoor-radio-propagation
keyword: adaptative-modulation
keyword: taux-erreur-binaire---teb
keyword: wireless-communication
keyword: moedlisation-de-canal
keyword: shadow-fading
keyword: bit-error-rate---bet
keyword: modulation-adaptative
keyword: evanouissement
keyword: channel-modeling
keyword: small-scale-fading
keyword: theses
keyword: masquage
keyword: radio-link-quality
keyword: radiocommunications
keyword: attenuation-despace
keyword: propagation-radio-en-interieur
keyword: spiotherengineering-sciences-physicsother
keyword: qualite-du-lien-radio
keyword: infoeu-reposemanticsdoctoralthesis
keyword: telecommunications
keyword: communication-sans-fil
landing page: https://theses.hal.science/tel-00961244
description: This thesis aims at proposing all the possible enhancements for the Multi-Resolution Frequency-Domain ParFlow (MR-FDPF) model. As a deterministic radio propagation model, the MR-FDPF model possesses the property of a high level of accuracy, but it also suffers from some common limitations of deterministic models. For instance, realistic radio channels are not deterministic but a kind of random processes due to, e.g. moving people or moving objects, thus they can not be completely described by a purely deterministic model. In this thesis, a semi-deterministic model is proposed based on the deterministic MR-FDPF model which introduces a stochastic part to take into account the randomness of realistic radio channels. The deterministic part of the semi-deterministic model is the mean path loss, and the stochastic part comes from the shadow fading and the small scale fading. Besides, many radio propagation simulators provide only the mean power predictions. However, only mean power is not enough to fully describe the behavior of radio channels. It has been shown that fading has also an important impact on the radio system performance. Thus, a fine radio propagation simulator should also be able to provide the fading information, and then an accurate Bit Error Rate (BER) prediction can be achieved. In this thesis, the fading information is extracted based on the MR-FDPF model and then a realistic BER is predicted. Finally, the realistic prediction of the BER allows the implementation of the adaptive modulation scheme. This has been done in the thesis for three systems, the Single-Input Single-Output (SISO) systems, the Maximum Ratio Combining (MRC) diversity systems and the wideband Orthogonal Frequency-Division Multiplexing (OFDM) systems.
identifier: NNT: 2013ISAL0074
issued: 2026-05-05T23:50:37.352325
language: en
modified: 2026-05-05T23:50:37.352330