Relevant bibliographies by topics / Wireless Channel Propagation Model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Wireless Channel Propagation Model'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Wireless Channel Propagation Model"

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Imoize, Agbotiname Lucky, Augustus Ehiremen Ibhaze, Aderemi A. Atayero, and K. V. N. Kavitha. "Standard Propagation Channel Models for MIMO Communication Systems." Wireless Communications and Mobile Computing 2021 (February 15, 2021): 1–36. http://dx.doi.org/10.1155/2021/8838792.

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The field of wireless communication networks has witnessed a dramatic change over the last decade due to sophisticated technologies deployed to satisfy various demands peculiar to different data-intensive wireless applications. Consequently, this has led to the aggressive use of the available propagation channels to fulfill the minimum quality of service (QoS) requirement. A major barometer used to gauge the performance of a wireless communication system is the spectral efficiency (SE) of its communication channels. A key technology used to improve SE substantially is the multiple input multiple output (MIMO) technique. This article presents a detailed survey of MIMO channel models in wireless communication systems. First, we present the general MIMO channel model and identified three major MIMO channel models, viz., the physical, analytical, and standardized models. The physical models describe the MIMO channel using physical parameters. The analytical models show the statistical features of the MIMO channel with respect to the measured data. The standardized models provide a unified framework for modern radio propagation architecture, advanced signal processing, and cutting-edge multiple access techniques. Additionally, we examined the strengths and limitations of the existing channel models and discussed model design, development, parameterization, implementation, and validation. Finally, we present the recent 3GPP-based 3D channel model, the transitioning from 2D to 3D channel modeling, discuss open issues, and highlight vital lessons learned for future research exploration in MIMO communication systems.
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Gao, Zhenran, Weijing Li, Yan Zhu, Yongchao Tian, Fangrong Pang, Weixing Cao, and Jun Ni. "Wireless Channel Propagation Characteristics and Modeling Research in Rice Field Sensor Networks." Sensors 18, no. 9 (September 15, 2018): 3116. http://dx.doi.org/10.3390/s18093116.

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Wireless channel propagation characteristics and models are important to ensure the communication quality of wireless sensor networks in agriculture. Wireless channel attenuation experiments were carried out at different node antenna heights (0.8 m, 1.2 m, 1.6 m, and 2.0 m) in the tillering, jointing, and grain filling stages of rice fields. We studied the path loss variation trends at different transmission distances and analyzed the differences between estimated values and measured values of path loss in a free space model and a two-ray model. Regression analysis of measured path loss values was used to establish a one-slope log-distance model and propose a modified two-slope log-distance model. The attenuation speed in wireless channel propagation in rice fields intensified with rice developmental stage and the transmission range had monotone increases with changes in antenna height. The relative error (RE) of estimation in the free space model and the two-ray model under four heights ranged from 6.48–15.49% and 2.09–13.51%, respectively, and these two models were inadequate for estimating wireless channel path loss in rice fields. The ranges of estimated RE for the one-slope and modified two-slope log-distance models during the three rice developmental stages were 2.40–2.25% and 1.89–1.31%, respectively. The one-slope and modified two-slope log-distance model had better applicability for modeling of wireless channels in rice fields. The estimated RE values for the modified two-slope log-distance model were all less than 2%, which improved the performance of the one-slope log-distance model. This validates that the modified two-slope log-distance model had better applicability in a rice field environment than the other models. These data provide a basis for modeling of sensor network channels and construction of wireless sensor networks in rice fields. Our results will aid in the design of effective rice field WSNs and increase the transmission quality in rice field sensor networks.
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Grote, Walter. "Wireless SISO Channel Propagation Model for Underground Mines." IFAC Proceedings Volumes 42, no. 23 (2009): 308–13. http://dx.doi.org/10.3182/20091014-3-cl-4011.00056.

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Yang, Yi Huai, Li Fang Wang, and Yuan Li. "Propagation Channel Modeling for Rayleigh and Rice Fading." Applied Mechanics and Materials 687-691 (November 2014): 3648–51. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3648.

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An important requirement for assessing technology for wireless applications is to have an accurate description of the wireless channel. Rayleigh and Rice are the most popular models for wireless channels. In this paper, we simulation study the most important statistical properties, such as PDF and CDF, of Rayleigh and Rice channels, we also simulate the outputs of complex signals which passed the Rayleigh and Rice channels, and give some useful results.
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Habib, Arafat, and Sangman Moh. "Wireless Channel Models for Over-the-Sea Communication: A Comparative Study." Applied Sciences 9, no. 3 (January 28, 2019): 443. http://dx.doi.org/10.3390/app9030443.

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Over the past few years, the modeling of wireless channels for radio wave propagation over the sea surface has drawn the attention of many researchers. Channel models are designed and implemented for different frequencies and communication scenarios. There are models that emphasize the influence of the height of the evaporation duct in the marine environment, as well as models that deal with different frequencies (2.5, 5, and 10 GHz, etc.) or the impact of various parameters, such as antenna height. Despite the increasing literature on channel modeling for the over-the-sea marine environment, there is no comprehensive study that focuses on key concepts that need to be considered when developing a new channel model, characteristics of channel models, and comparative analysis of existing works along with their possible improvements and future applications. In this paper, channel models are discussed in relation to their operational principles and key features, and they are compared with each other in terms of major characteristics and pros and cons. Some important insights on the design and implementation of a channel model, possible applications and improvements, and challenging issues and research directions are also discussed. The main goal of this paper is to present a comparative study of over-the-sea channel models for radio wave propagation, so that it can help engineers and researchers in this field to choose or design the appropriate channel models based on their applications, classification, features, advantages, and limitations.
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Zheng, Kan, Suling Ou, and Xuefeng Yin. "Massive MIMO Channel Models: A Survey." International Journal of Antennas and Propagation 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/848071.

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The exponential traffic growth of wireless communication networks gives rise to both the insufficient network capacity and excessive carbon emissions. Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency (SE) together with the energy efficiency (EE) and has been regarded as a promising technique for the next generation wireless communication networks. Channel model reflects the propagation characteristics of signals in radio environments and is very essential for evaluating the performances of wireless communication systems. The purpose of this paper is to investigate the state of the art in channel models of massive MIMO. First, the antenna array configurations are presented and classified, which directly affect the channel models and system performance. Then, measurement results are given in order to reflect the main properties of massive MIMO channels. Based on these properties, the channel models of massive MIMO are studied with different antenna array configurations, which can be used for both theoretical analysis and practical evaluation.
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Narrainen, Jessen, Philippe Besnier, and Martine Gatsinzi Ibambe. "A geometry-based stochastic approach to emulate V2V communications’ main propagation channel metrics." International Journal of Microwave and Wireless Technologies 8, no. 3 (January 15, 2016): 455–61. http://dx.doi.org/10.1017/s1759078715001749.

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In order to evaluate a communication system, we need to model the propagation channel of the relevant environments pertaining to that communication. In this paper, we propose a Geometry-Based Stochastic Channel Modeling approach to build up propagation channel simulations to assess the performance of vehicle-to-vehicle wireless communications. Our methodology allows the simulation of dynamic scenarios, with an electromagnetic simulator, to emulate typical propagation environments (rural, highway and urban-like propagation channels). Simple metallic plates are used to represent scatterers in the simulated geometric configurations. The common characteristics defining a propagation channel such as delay spread, angle of arrival distribution, and the delay-Doppler spectrum are obtained through adjustment of the number and location of those simple metallic plates.
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Sirdeshpande, Nandakishor, and Vishwanath Udupi. "Characterization of path loss model for wireless communication channel modelling." Data Technologies and Applications 54, no. 3 (April 27, 2020): 343–64. http://dx.doi.org/10.1108/dta-03-2019-0052.

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PurposeWireless communication channel provides a wide area of applications in the field of communication, distributed sensor network and so on. The prominence of the wireless communication channel is because of its robust nature and the sustainability for the precise ranging and the localization. The precision and accuracy of the wireless communication channel largely depend on the localization. The development of the wireless communication channel with improved benefits needs the accurate channel model.Design/methodology/approachThis paper characterizes the tangential path loss model in the WINNER based wireless communication channel model. The measurements taken in the WINNER channel model are compared with the tangential path loss characterized WINNER Channel model.FindingsThe model operates well over the varying antenna orientations, measurement condition and the propagation condition. The proposed tangential path loss model is performing well over the various outdoor scenarios.Originality/valueThe proposed characterization shows change in the small-scale parameters (SSP), such as power, delay, angle of arrival and angle of departure as well as the large-scale parameters (LSP), such as RMS delay spread, shadowing, path loss and Ricean factor associated with the model.
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Zhu, Shan, Bang Wang, Wen Yu Liu, and Hui Liang. "An Empirical Indoor Propagation Model for Underground Parking Area." Advanced Materials Research 433-440 (January 2012): 4865–68. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4865.

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This paper presents an empirical indoor propagation model for underground parking area based on our extensive field measurements. Among several candidate empirical models, we choose the modified Keenan-Motley model for calibration, using channel power measurements at the 3G and 4G radio frequencies. Our calibration results can be used to provide a simple propagation model for wireless transmission planning, forecasting and quality control in indoor parking scenarios.
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Xu, Yi Dong. "Modeling and Simulation of the Propagation Characteristics by Underground Current Field." Applied Mechanics and Materials 385-386 (August 2013): 1568–71. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1568.

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It's one of the effective channels for short-distance wireless communications through stratum in underground mines on emergency communications. The geologic structure is complex in mines, in practical environments. It means there is a considerable difference in conductance property and channel characteristics. In order to realize effective communication through stratum, its necessary to explore and study underground signal transmission by establishing mathematical model of underground signal propagation characteristics based on the theory of constant current field and simulating the mathematical model with MATLAB. We established a simulation model of underground communication channel physics experiments and obtained the amplitude frequency characteristic of the channel, with which we can get the error comparison between theory and test.
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Dissertations / Theses on the topic "Wireless Channel Propagation Model"

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Guo, Zhijuan. "Implementation Of Wireless Channel Propagation Models In OPNET." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-19750.

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In recent times, there has been a significant amount of research regarding the physical layer of wireless communications . The part of the physical layer, which cannot be ignored, is channel propagation. Different environments have different channels. Path loss, slow fading, fast fading and multipath fading are all involved in decisions regarding the condition of the channel . Based on related research, a number of empirical channel models are put forward to simulate a real environment with regards to communication and there are some simulation softwares that are able to implement those different channels. These include Matlab which is regarded as the best simulation software for the physical layer in wireless communication. OPNET is another network modeling simulation software, which could implement the entire process of the network communication, which Matlab is not able to complete . The network layer of OPNET is very mature and has the ability to implement different routing protocols. However, the description of the physical layer in OPNET is poor and there is only simple path loss model in pipeline modeling in OPNET. Thus, the objective of this thesis is to implement different channel models in OPNET and to make it capable to simulate in as close a manner as possible to a real environment.
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Yu, Kai. "Modeling of Multiple-Input Multiple-Output Radio Propagation Channels." Licentiate thesis, KTH, Signals, Sensors and Systems, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1478.

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In recent years, multiple-input multiple-output (MIMO)systems appear to be very promising since they can provide highdata rates in environments with sucient scattering byexploiting the spatial domain. To design a real MIMO wirelesssystem and predict its performance under certain circumstances,it is necessary to have accurate MIMO wireless channel modelsfor dierent scenarios. This thesis presents dierent models forindoor MIMO radio propagation channels based on 5.2 GHz indoorMIMO channel measurements.The recent research on MIMO radio channel modeling isbriey reviewed in this thesis. The models are categorized intonon-physical and physical models. The non-physical modelsprimarily rely on the statistical characteristics of MIMOchannels obtained from the measured data while the physicalmodels describe the MIMO channel (or its distribution) via somephysical parameters. The relationships between dierent modelsare also discussed.For the narrowband case, a non line-of-sight (NLOS)indoor MIMO channel model is presented. The model is based on aKronecker structure of the channel covariance matrix and thefact that the channel is complex Gaussian. It is extended tothe line-of-sight (LOS) scenario by estimating and modeling thedominant component separately.As for the wideband case, two NLOS MIMO channel modelsare proposed. The rst model uses the power delay prole and theKronecker structure of the second order moments of each channeltap to model the wideband MIMO channel while the second modelcombines a simple single-input single-output (SISO) model withthe same Kronecker structure of the second order moments.Monte-Carlo simulations are used to generate indoor MIMOchannel realizations according to the above models. The resultsare compared with the measured data and good agreement has beenobserved.

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Alonso, Javier. "M.I.M.O Channel Model for High Capacity Wireless Networks and Simulator for Performance Analysis." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7784.

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The wireless communications have suffered, in these last years, one of the greater technological growth within the communications via radio. The application of multiple antennas, as much in transmission as in reception has taken to an impulse of the study of different models from propagation channels.

Taking this into consideration, the different types from mentioned models are going to be studied.

The work that the ISY department at the Institute of Technology of the Linköping University has proposed is to develop to a propagation channel model, with several antennas in reception and transmission, that one first approach allows a capacity of the channel study, in absence of measures of possible scenarios, as well as the development of a small simulator that allows to analyze its benefits.

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Hunter, Brandon. "Channel Probing for an Indoor Wireless Communications Channel." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/64.

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The statistics of the amplitude, time and angle of arrival of multipaths in an indoor environment are all necessary components of multipath models used to simulate the performance of spatial diversity in receive antenna configurations. The model presented by Saleh and Valenzuela, was added to by Spencer et. al., and included all three of these parameters for a 7 GHz channel. A system was built to measure these multipath parameters at 2.4 GHz for multiple locations in an indoor environment. Another system was built to measure the angle of transmission for a 6 GHz channel. The addition of this parameter allows spatial diversity at the transmitter along with the receiver to be simulated. The process of going from raw measurement data to discrete arrivals and then to clustered arrivals is analyzed. Many possible errors associated with discrete arrival processing are discussed along with possible solutions. Four clustering methods are compared and their relative strengths and weaknesses are pointed out. The effects that errors in the clustering process have on parameter estimation and model performance are also simulated.
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Xu, Hao. "Terrestrial radio wave propagation at millimeter-wave frequencies." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27522.

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This research focuses on radio wave propagation at millimeter-wave frequencies. A measurement based channel characterization approach is taken in the investigation. First, measurement techniques are analyzed. Three types of measurement systems are designed, and implemented in measurement campaigns: a narrowband measurement system, a wideband measurement system based on Vector Network Analyzer, and sliding correlator systems at 5.8+AH4AXA-mbox{GHz}, 38+AH4AXA-mbox{GHz} and 60+AH4AXA-mbox{GHz}. The performances of these measurement systems are carefully compared both analytically and experimentally. Next, radio wave propagation research is performed at 38+AH4AXA-mbox{GHz} for Local Multipoint Distribution Services (LMDS). Wideband measurements are taken on three cross-campus links at Virginia Tech. The goal is to determine weather effects on the wideband channel properties. The measurement results include multipath dispersion, short-term variation and signal attenuation under different weather conditions. A design technique is developed to estimate multipath characteristics based on antenna patterns and site-specific information. Finally, indoor propagation channels at 60+AH4AXA-mbox{GHz} are studied for Next Generation Internet (NGI) applications. The research mainly focuses on the characterization of space-time channel structure. Multipath components are resolved both in time of arrival (TOA) and angle of arrival (AOA). Results show an excellent correlation between the propagation environments and the channel multipath structure. The measurement results and models provide not only guidelines for wireless system design and installation, but also great insights in millimeter-wave propagation.
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Manan, Waqas. "Propagation channel models for 5G mobile networks. Simulation and measurements of 5G propagation channel models for indoor and outdoor environments covering both LOS and NLOS Scenarios." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17219.

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At present, the current 4G systems provide a universal platform for broadband mobile services; however, mobile traffic is still growing at an unprecedented rate and the need for more sophisticated broadband services is pushing the limits on current standards to provide even tighter integration between wireless technologies and higher speeds. This has led to the need for a new generation of mobile communications: the so-called 5G. Although 5G systems are not expected to penetrate the market until 2020, the evolution towards 5G is widely accepted to be the logical convergence of internet services with existing mobile networking standards leading to the commonly used term “mobile internet” over heterogeneous networks, with several Gbits/s data rate and very high connectivity speeds. Therefore, to support highly increasing traffic capacity and high data rates, the next generation mobile network (5G) should extend the range of frequency spectrum for mobile communication that is yet to be identified by the ITU-R. The mm-wave spectrum is the key enabling feature of the next-generation cellular system, for which the propagation channel models need to be predicted to enhance the design guidance and the practicality of the whole design transceiver system. The present work addresses the main concepts of the propagation channel behaviour using ray tracing software package for simulation and then results were tested and compared against practical analysis in a real-time environment. The characteristics of Indoor-Indoor (LOS and NLOS), and indoor-outdoor (NLOS) propagations channels are intensively investigated at four different frequencies; 5.8 GHz, 26GHz, 28GHz and 60GHz for vertical polarized directional, omnidirectional and isotropic antennas patterns. The computed data achieved from the 3-D Shooting and Bouncing Ray (SBR) Wireless Insite based on the effect of frequency dependent electrical properties of building materials. Ray tracing technique has been utilized to predict multipath propagation characteristics in mm-wave bands at different propagation environments. Finally, the received signal power and delay spread were computed for outdoor-outdoor complex propagation channel model at 26 GHz, 28 GHz and 60GHz frequencies and results were compared to the theoretical models.
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Pirkl, Ryan J. "Measurement-based investigations of radio wave propagation: an exposé on building corner diffraction." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33961.

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Predicting performance metrics for the next-generation of multi-mode and multi-antenna wireless communication systems demands site-specific knowledge of the wireless channel's underlying radio wave propagation mechanisms. This thesis describes the first measurement system capable of characterizing individual propagation mechanisms in situ. The measurement system merges a high-resolution spatio-temporal wireless channel sounder with a new field reconstruction technique to provide complete knowledge of the wireless channel's impulse response throughout a 2-dimensional region. This wealth of data may be combined with space-time filtering techniques to isolate and characterize individual propagation mechanisms. The utility of the spatio-temporal measurement system is demonstrated through a measurement-based investigation of diffraction around building corners. These measurements are combined with space-time filtering techniques and a new linear wedge diffraction model to extract the first semi-mpirical diffraction coefficient. Specific contributions of this thesis are: * The first ultra-wideband single-input multiple-output (SIMO) channel sounder based upon the sliding correlator architecture. * A quasi 2-dimensional field reconstruction technique based upon a conjoint cylindrical wave expansion of coherent perimeter measurements. * A wireless channel ``filming' technique that records the time-domain evolution of the wireless channel throughout a 2-dimensional region. * High-resolution measurements of the space-time wireless channel near a right-angled brick building corner. * The application of space-time filtering techniques to isolate the edge diffraction problem from the overall wireless channel. * An approximate uniform geometrical theory of diffraction (UTD)-style linear model describing diffraction by an impedance wedge. * The first-ever semi-empirical diffraction coefficient extracted from in situ measurement data. This thesis paves the way for several new avenues of research. The comprehensive measurement data provided by channel "filming" will enable researchers to develop and implement powerful space-time filtering techniques that facilitate measurement-based investigations of radio wave propagation. The measurement procedure described in this thesis may be adapted to extract realistic reflection and rough-surface scattering coefficients. Finally, exhaustive measurements of individual propagation mechanisms will enable the first semi-empirical propagation model that integrates empirical descriptions of propagation mechanisms into a UTD-style mechanistic framework.
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Ho, Chung-Man Peter. "Antenna effects on indoor wireless channels and a deterministic wide-band propagation model for in-building personal communication systems." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-01102009-063157/.

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Hariri, Essamlali Kaoutar El. "Modélisation hybride du canal de propagation dans un contexte industriel." Thesis, Poitiers, 2014. http://www.theses.fr/2014POIT2336/document.

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Ce travail de thèse concerne la modélisation du canal de propagation dans les milieux industriels. Dans ce contexte, le canal de propagation a un comportement différent de celui classiquement rencontré en indoor. Cela est dû à l'aménagement des bâtiments qui sont plus grand et ouverts ainsi qu'à la présence de machines, d'objets mobiles et d'autres matériaux métalliques rencontrés dans ces environnements. Ainsi, les modèles de canaux indoor existants ne sont plus valides. L'utilisation de modèles déterministes comme alternative est possible mais limitée en raison du temps de calcul qui en découle.Pour répondre à cette problématique, nous proposons un modèle hybride de canal s'inspirant d'une méthode à tracer de rayons 3D et du modèle WINNER. L'originalité de ce modèle repose sur son caractère hybride consistant, en prétraitement, à partitionner l'environnement en zones de visibilité ou de non-visibilité «faible» et «forte» sur des critères déterministes liés à la propagation des ondes. Un modèle statistique, type WINNER, reprenant le concept de cluster est ensuite "joué" au sein de chacune des ces zones reproduisant ainsi fidèlement l'évolution des paramètres caractéristiques des clusters identifiés. Nous avons validé notre modèle en le comparant d'abord à un modèle déterministe et ensuite à la mesure. Sa robustesse ainsi que celle de WINNER sont testées en les simulant dans trois environnements différents et en les comparant au modèle déterministe à tracer de rayons
This thesis focuses on the modeling of the propagation channel in industrial environments. In this context, the propagation channel has a different behavior than typically encountered in indoor. This is due to the construction of buildings that are larger and open and the presence of machines, moving objects and metal materials encountered in these environments. Thus, the existing indoor channel models are not valid. Using deterministic models as an alternative is possible, but limited by the computing time.To address this problem, we propose a hybrid channel model for communications in industrial environments inspired by a ray tracing method and Winner model. The originality of this model is its hybrid nature consisting, in preprocessing, in partitionning the environment in areas of visibility or non-visibility «weak» and «strong» based on deterministic criteria related to the wave propagation. A statistical model, as WINNER , using the concept of cluster is then played in each of these areas and faithfully reproducing the evolution of the characteristic parameters of the identified clusters. We have validated our model by comparing it firstly to a deterministic model and then to measurement. Its robustness as well that of WINNER are tested by simulating them in three different environments and by comparing them with the deterministic model
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Kacou, Marc Emmanuel Vivien-Marie Wozan. "Design of Models for the Planning of Indoor Multi-technology Wireless Networks." Thesis, Rennes, INSA, 2019. http://www.theses.fr/2019ISAR0010.

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L’évolution constante des technologies sans fil telles que le Wi-Fi, les normes de réseaux mobiles ou d’objets connectés, a donné naissance à de nouvelles applications et usages. Les possibilités offertes par cette multitude d’alternatives sont exploitées par les réseaux sans fil hétérogènes qui, en combinant au sein d’un réseau unique plusieurs technologies, permettent aux utilisateurs d’accéder à des services complémentaires de façon transparente. Cependant, pour bénéficier pleinement de ces avantages, plusieurs défis techniques sont à relever. L’un d’eux est relatif au déploiement de ces réseaux multi- technologies. En pratique, cette tâche s’appuie sur des règles et outils d’ingénierie afin de réaliser une planification optimale. Dans ce contexte, un objectif de la thèse a été d’établir des modèles sur lesquels peuvent se baser les outils d’ingénierie radio afin d’optimiser le déploiement de réseau locaux sans fil multi- technologies.Il s’agit principalement de calibrer des modèles de propagation pour l’estimation de couverture radio en environnement indoor résidentiel entre 800 MHz et 60 GHz; d’établir un modèle de débit pour l’estimation de capacité Wi-Fi en fonction du trafic montant et descendant; et de concevoir un modèle de résolution multi-objectif pour optimiser le positionnement de points d’accès opérant à 5 et 60 GHz. En complément, cette thèse a également proposé des recommandations pratiques visant à placer au mieux les points d’accès en phase de déploiement. Cela s’est fait par le biais d’études de sensibilité de couverture à divers facteurs, tels que l’environnement immédiat de l’émetteur ou encore la présence de personnes faisant obstruction
The constant evolution of wireless technologies such as Wi-Fi, mobile networks standards or IoT, has given rise to new applications and usages. The possibilities offered by this multitude of alternatives are exploited by heterogeneous wireless networks which, by combining within a single network several technologies, provide the users with a seamless access to complementary services. However, to take full advantage of these benefits, there are several technical issues to address. One of them is related to the deployment of these multi-technology networks. In practice, this task relies, most of the time, on radio network design software to achieve optimal planning. In such context, the main objective of this thesis is to establish models which can be used by radio network planning tools in order to the deployment of multi-technology wireless local area networks. This task has involved calibrating propagation models for radio coverage estimation, in residential indoor environments from 800 MHz to 60 GHz; developing a throughput model for Wi-Fi capacity estimation based on uplink and downlink traffic; and establishing a multi- objective resolution model to optimize the positioning of access points operating at 5 and 60 GHz. Moreover, this thesis also proposes practical recommendations for a better positioning of access points during deployment phases. This task has been achieved through coverage sensitivity studies to various factors, such as the transmitter surroundings or the presence of obstructing people
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Books on the topic "Wireless Channel Propagation Model"

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Holloway, Christopher L. A simplified model for predicting the power delay profile characteristics of an indoor propagation channel. [Washington, DC]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1998.

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P, Mariño-Espiñeira, ed. Modeling the wireless propagation channel: A simulation approach with Matlab. Chichester, West Sussex, England: Wiley, 2008.

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Pérez Fontán, F., and P. Mariño Espiñeira. Modeling the Wireless Propagation Channel. Chichester, UK: John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470751749.

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Yin, Xuefeng, and Xiang Cheng. Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2018. http://dx.doi.org/10.1002/9781118188248.

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Allen, Ben, Guillaume De la Roche, and Andres Alayon Glazunov. LTE--advanced and next generation wireless networks: Channel modelling and propagation. Chichester, West Sussex, U.K: Wiley, 2012.

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Wiley & Sons, Incorporated, John, 2013.

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Wiley & Sons, Incorporated, John, 2013.

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Radio Propagation Measurement And Channel Modelling. John Wiley & Sons, 2013.

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Cheng, Xiang, and Xuefeng Yin. Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications. Wiley-Interscience, 2016.

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Cheng, Xiang, and Xuefeng Yin. Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications. Wiley & Sons, Incorporated, John, 2016.

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Book chapters on the topic "Wireless Channel Propagation Model"

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Molisch, Andreas F. "Propagation and Channel Modeling Principles." In LTE-Advanced and Next Generation Wireless Networks, 35–64. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118410998.ch2.

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Zhong, Zhang-Dui, Bo Ai, Gang Zhu, Hao Wu, Lei Xiong, Fang-Gang Wang, Lei Lei, Jian-Wen Ding, Ke Guan, and Rui-Si He. "Radio Propagation and Wireless Channel for Railway Communications." In Advances in High-speed Rail Technology, 57–123. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54860-8_3.

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Jiang, Hao, and Guan Gui. "3D Non-stationary Wideband UAV Channel Model for A2G Communications." In Wireless Networks, 169–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32869-6_8.

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Babich, Fulvio, Owen E. Kelly, and Giancarlo Lombardi. "A Variable-Order Discrete Model for the Fading Channel." In Broadband Wireless Communications, 259–66. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1570-0_24.

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Zhang, Jianhua. "Wireless Fading Channel Model for 5G and Future." In Encyclopedia of Wireless Networks, 1–5. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_56-1.

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Zhang, Jianhua. "Wireless Fading Channel Model for 5G and Future." In Encyclopedia of Wireless Networks, 1483–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_56.

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Jiang, Hao, and Guan Gui. "Multi-Bounced Virtual Scattering Channel Model for Dense Urban Street Environments." In Wireless Networks, 65–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32869-6_4.

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Jiang, Hao, and Guan Gui. "A 3D Non-stationaryWideband Channel Model for MIMO V2V Tunnel Communications." In Wireless Networks, 115–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32869-6_6.

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Qu, Xiaoyu, and Jiangyun Wang. "Intelligent Wireless Propagation Model with Environmental Adaptability." In Lecture Notes in Electrical Engineering, 326–32. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8450-3_35.

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Jiang, Hao, and Guan Gui. "A 3D Massive MIMO Channel Model for Vehicle-to-Vehicle Communication Environments." In Wireless Networks, 87–113. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32869-6_5.

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Conference papers on the topic "Wireless Channel Propagation Model"

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Sasloglou, K., I. A. Glover, P. Dutta, R. Atkinson, I. Andonovic, and G. Whyte. "A channel model for wireless sensor networks in gas turbine engines." In Propagation Conference (LAPC). IEEE, 2009. http://dx.doi.org/10.1109/lapc.2009.5352400.

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Cheffena, M., L. E. Braten, T. Tjelta, and T. Ekman. "Space - time dynamic channel model for broadband fixed wireless access." In 2006 First European Conference on Antennas and Propagation Conference. IEEE, 2006. http://dx.doi.org/10.1109/eucap.2006.4584762.

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Moazzeni, Taleb. "A wireless propagation channel model with meteorological quantities using neural networks." In 2006 IEEE GCC Conference. IEEE, 2006. http://dx.doi.org/10.1109/ieeegcc.2006.5686175.

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Li, Quan-Qing, Zhong-Yu Liu, and Li-Xin Guo. "A Maritime Multipath Wireless Channel Model Based on Ray Tracing Algorithm." In 2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP). IEEE, 2020. http://dx.doi.org/10.1109/apcap50217.2020.9246060.

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He, Yueshun, Wei Zhang, Nan Jiang, and Xiaoyan Luo. "The Research of Wireless Sensor Network Channel Propagation Model in the Wild Environment." In 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). IEEE, 2014. http://dx.doi.org/10.1109/3pgcic.2014.66.

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Adeogun, Ramoni, and Troels Pedersen. "Propagation graph based model for polarized multiantenna wireless channels." In 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2018. http://dx.doi.org/10.1109/wcnc.2018.8377177.

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Xu, Meng, Kai Niu, and Zhiqiang He. "Optimization and implementation of SCME channel model on GPP." In 2013 IEEE 5th International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE). IEEE, 2013. http://dx.doi.org/10.1109/mape.2013.6689967.

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Xu, Xiang, Michael Reyer, Florian Schroder, Alexander Engels, and Rudolf Mathar. "A semi-stochastic radio propagation model for wireless MIMO channels." In 2011 8th International Symposium on Wireless Communication Systems (ISWCS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iswcs.2011.6125429.

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Il-Suek Koh, Sewoong Kwon, Jae-Woo Lim, and Young Joong Yoon. "3D ray-tracing model including effect of inhomogeneous building surface for characterization of wireless communication channel." In 2007 IEEE Antennas and Propagation Society International Symposium. IEEE, 2007. http://dx.doi.org/10.1109/aps.2007.4396446.

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Sasaki, A., T. Ishihara, N. Shibata, R. Kawano, H. Morimura, and M. Shinagawa. "SNR analysis of a noisy-channel model for a capacitively-coupled personal-area network." In 2011 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications. IEEE, 2011. http://dx.doi.org/10.1109/apwc.2011.6046764.

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Reports on the topic "Wireless Channel Propagation Model"

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Zegarra, Jesus. Model Development For Wireless Propagation In Forested Environments. Fort Belvoir, VA: Defense Technical Information Center, September 2015. http://dx.doi.org/10.21236/ad1009344.

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