Journal ArticleDOI
On predicting in-building WiFi coverage with a fast discrete approach
TLDR
The straight lines of MR-FDPF are presented and the conditions for efficient in-building coverage prediction at 2.4 GHz are detailed and an automatic calibration process is claimed to improve the fit between predictions and measurements.Abstract:
A new approach for predicting coverage of wireless LAN at 2.4 GHz is presented. Coverage prediction is one of the core parts of indoor wireless LAN planning tools. The main concern it has to deal with is providing a good trade-off between prediction accuracy and computational load. Usual approaches belong to either empirical or deterministic methods. A new perspective has recently been offered that exploits a discrete formalism based on the TLM formulation. It is referred to as Multi-Resolution Frequency Domain ParFlow (MR-FDPF). While ray-tracing handles computational load by restricting the number of considered paths, the proposed approach acts by adapting the spatial resolution. This paper presents the straight lines of MR-FDPF and details the conditions for efficient in-building coverage prediction at 2.4 GHz. In a second part this paper tackles the calibration problem and claims for an automatic calibration process to improve the fit between predictions and measurements. A couple of experiments are presented.read more
Citations
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Journal ArticleDOI
Body Shadowing and Furniture Effects for Accuracy Improvement of Indoor Wave Propagation Models
Mohamed Ayadi,A. Ben Zineb +1 more
TL;DR: A new indoor large scale path loss empirical model is presented that integrates additional suggestions recommended by electromagnetic techniques such as body shadowing and furniture effects and compares the “neural model” predictions with measurements.
Intelligent ray launching algorithm for indoor scenarios
TL;DR: The indoor IRLA (Intelligent Ray Launching Algorithm), which originates from an efficient outdoor propagation prediction model, is described, which is suitable for indoor wireless network planning and optimization process.
Journal ArticleDOI
A Multi-wall and Multi-frequency Indoor Path Loss Prediction Model Using Artificial Neural Networks
Aymen Ben Zineb,Mohamed Ayadi +1 more
TL;DR: The new model is inspired from multi-wall one and will be available for the most used system bands, such as GSM, UMTS and WiFi and is trained with measured data using a back-propagation learning algorithm.
Book ChapterDOI
Radio Channel Modeling for 4G Networks
Claude Oestges,Nicolai Czink,Philippe De Doncker,Vittorio Degli-Esposti,Katsuyuki Haneda,Wout Joseph,Martine Lienard,Lingfeng Liu,Jose Maria Molina-Garcia-Pardo,Milan Narandžić,Juho Poutanen,Francois Quitin,Emmeric Tanghe +12 more
TL;DR: The COST 2100 model is presented, starting from a single-link implementation based on the COST 273 model, to propose an updated version of the model including enhancements such as diffuse and cross-polar components, as well as multi-link aspects.
Journal ArticleDOI
Mono- and multiobjective formulations for the indoor wireless LAN planning problem
TL;DR: The difficulty of planning such wireless networks for indoor environments is highlighted, with a description of previously proposed planning strategies and the benefit of the MO search strategy that offers several alternative solutions to the radio engineer.
References
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Journal ArticleDOI
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TL;DR: In this paper, an image-based, dual-grid, scalar, coherent, ray tracing programs generate maps, (two-dimensional slices) of three-dimensional standing wave patterns for continuous wave illumination.
Journal ArticleDOI
Modern approaches in modeling of mobile radio systems propagation environment
TL;DR: A review of popular propagation models for wireless communication channels is given, and macrocell, microcell, and indoor prediction methods are considered separately.