Exploiting the graph description of indoor layout for ray persistency modeling in moving channel

Uguen, Bernard; Amiot, Nicolas; Laaraiedh, Mohamed

doi:10.1109/eucap.2012.6206619

Cited by 3 publications

(4 citation statements)

References 4 publications

(3 reference statements)

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“…Several other studies have recently presented applications and/or modifications of the graph based models to various propagation environments such as indoor [13], [14], multiroom [15], [16], indoor-to-outdoor [17], high speed railway [18]- [21] and millimeter wave systems [22]. Hybrid models combining the propagation graph based model with ray tracing approaches have also been studied in [23]- [26].…”

Section: Introductionmentioning

confidence: 99%

Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph

Adeogun

Pedersen

Gustafson³

et al. 2019

IEEE Trans. Antennas Propagat.

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This paper generalizes a propagation graph model to polarized indoor wireless channels. In the original contribution, the channel is modelled as a propagation graph in which vertices represent transmitters, receivers and scatterers while edges represents the propagation conditions between vertices. Each edge is characterized by an edge transfer function accounting for the attenuation, delay spread and phase shift on the edge. In this contribution, we extend this modelling formalism to polarized channels by incorporating depolarization effects into the edge transfer functions and hence, the channel transfer matrix. We derive closed form expressions for the polarimetric power delay spectrum and cross-polarization ratio of the indoor channel. The expressions are derived considering average signal propagation in a graph and relate these statistics to model parameters, thereby providing a useful approach to investigate the averaged effect of these parameters on the channel statistics. Furthermore, we present a procedure for calibrating the model based on method of moments. Simulations were performed to validate the proposed model and the derived approximate expressions using both synthetic data and channel measurements at 15 GHz and 60 GHz. We observe that the model and approximate expressions provide good fits to the measurement data.

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Section: Introductionmentioning

confidence: 99%

Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph

Adeogun

Pedersen

Gustafson³

et al. 2019

IEEE Trans. Antennas Propagat.

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“…Hence, the amount of data necessary to describe antennas is drastically reduced, the vector radiation functions are quickly reconstructed for different directions, and antenna radiation pattern is properly reconstructed [5]. PyRay is reinforced by a graph-based description of indoor channels based on four types of graphs: the structure graph, the visibility graph, the topological graph and the graph of rooms [6]. Based on this graph representation and using Dijkstra's algorithm, the signature of a ray is determined as the sequence of interactions of the ray from the transmitter to the receiver.…”

Section: Advanced Ray Tracing Solutionsmentioning

confidence: 99%

“…In addition, a twostep process is developed in order to determine rays from their signatures. This ray determining process is used together with the graph-based representation of the radio channel to make faster the simulation of radio propagation channels [6].…”

Section: Advanced Ray Tracing Solutionsmentioning

confidence: 99%

Ray tracing-based radio propagation modeling for indoor localization purposes

Laaraiedh

Uguen

Stephan³

et al. 2012

2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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International audienceThis paper regards the application of ray tracing (RT) tools for indoor localization techniques. The paper presents two possible applications of RT tools in that context. The first is the train/construction of fingerprints databases in order to complement or/and replace laborious measurement campaigns. The second application is the modeling of location-dependent parameters in order to feed localization techniques. These two applications are investigated and validated using three RT tools applied on a synthetic indoor environment. The obtained results showed that RT tools are reliable in both fingerprinting databases construction and LDPs modeling

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“…Several other studies have recently presented applications and/or modifications of the graph based models to various propagation environments such as indoor [7], [8], indoorto-outdoor [9], high speed railway [10]- [13] and millimeter wave systems [14]. Hybrid models combining the propagation graph based model with ray tracing approaches have also been studied in [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Propagation graph based model for polarized multiantenna wireless channels

Adeogun

Pedersen

2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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Simple and accurate channel models are required to evaluate the performance of multi-antenna systems with polarized antenna arrays. This paper presents a graph based model for polarized multi-antenna wireless channels by incorporating polarization diversity into the classical propagation graph based model. In addition to classical propagation effects such as attenuation, delay and phase shifts in non-polarized channel models, the proposed model incorporated antenna and scatterer based depolarization effects including polarization coupling and polarimetric responses. An illustration of the procedure for generating the transfer function and impulse response from the model is given for dual polarized channels. Simulation results show that the power delay profile exhibit exponential decay with almost equal decay rate across the co-and cross-polar channels. Our results also show that antenna orientation, relative antenna height and depolarization affect the power-delay properties of the channel.

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Exploiting the graph description of indoor layout for ray persistency modeling in moving channel

Cited by 3 publications

References 4 publications

Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph

Polarimetric Wireless Indoor Channel Modeling Based on Propagation Graph

Ray tracing-based radio propagation modeling for indoor localization purposes

Propagation graph based model for polarized multiantenna wireless channels

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