Relevant bibliographies by topics / Indoor propagation models

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

Academic literature on the topic 'Indoor propagation models'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Indoor propagation models"

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Bermudez, Hector Fabio, Ramón Sanchez-Iborra, Jose Luis Arciniegas, Wilmar Yesid Campo, and María Dolores Cano. "Indoor propagation models for emulated LTE networks." IET Communications 14, no. 3 (2020): 480–88. http://dx.doi.org/10.1049/iet-com.2019.0365.

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Noh, Sun-Kuk, and DongYou Choi. "Propagation Model in Indoor and Outdoor for the LTE Communications." International Journal of Antennas and Propagation 2019 (June 16, 2019): 1–6. http://dx.doi.org/10.1155/2019/3134613.

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Rapidly rising demand for radio communication and the explosion in the number of mobile communications service subscribers have led to the need for optimization in the development of fifth-generation (5G) mobile communication systems. Previous studies on the development of propagation models considering a propagation environment in the existing microwave band have been mainly focused on analyzing the propagation characteristics with regard to large-scale factors such as path losses, delay propagation, and angle diffusions. In this paper, we investigated the concept of spatial and time changes ratios in the measurement of wave propagations and measured RSRP of Long Term Evolution (LTE) signals at three locations considering the time rate of 1% and 50%. We confirmed the concept of spatial and time changes rate based on the results of analyzing the signal data measured and proposed the propagation models 1 and 2 in microcell downtown. The forecast results using proposed models 1 and 2 were better than the COST231 model in both indoor and outdoor measured places. It was predicted between a time rate of 1% and 50% indoor within 400m and outdoor within 200m. In the future, we will study the propagation model of 5G mobile communication as well as the current 4G communication using artificial intelligence technology.
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Al-Saman, Ahmed, Michael Cheffena, Olakunle Elijah, Yousef A. Al-Gumaei, Sharul Kamal Abdul Rahim, and Tawfik Al-Hadhrami. "Survey of Millimeter-Wave Propagation Measurements and Models in Indoor Environments." Electronics 10, no. 14 (2021): 1653. http://dx.doi.org/10.3390/electronics10141653.

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The millimeter-wave (mmWave) is expected to deliver a huge bandwidth to address the future demands for higher data rate transmissions. However, one of the major challenges in the mmWave band is the increase in signal loss as the operating frequency increases. This has attracted several research interests both from academia and the industry for indoor and outdoor mmWave operations. This paper focuses on the works that have been carried out in the study of the mmWave channel measurement in indoor environments. A survey of the measurement techniques, prominent path loss models, analysis of path loss and delay spread for mmWave in different indoor environments is presented. This covers the mmWave frequencies from 28 GHz to 100 GHz that have been considered in the last two decades. In addition, the possible future trends for the mmWave indoor propagation studies and measurements have been discussed. These include the critical indoor environment, the roles of artificial intelligence, channel characterization for indoor devices, reconfigurable intelligent surfaces, and mmWave for 6G systems. This survey can help engineers and researchers to plan, design, and optimize reliable 5G wireless indoor networks. It will also motivate the researchers and engineering communities towards finding a better outcome in the future trends of the mmWave indoor wireless network for 6G systems and beyond.
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Mukti, Fransiska Sisilia. "Comparative study of four indoor empirical propagation models for campus wireless network." Jurnal Teknologi dan Sistem Komputer 7, no. 4 (2019): 154–60. http://dx.doi.org/10.14710/jtsiskom.7.4.2019.154-160.

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Propagation is one of the important factors to understand in wireless communication systems. Prediction of the value of propagation, especially for closed areas, is very necessary to determine success in building wireless networks. Various kinds of propagation modeling were developed to find the best approach to calculate the value of signal losses. A comparative study of 4 types of empirical propagation modeling was made to provide the most suitable propagation modeling analysis for campus wireless networks. The ITU-R model (P.1238) provides predictive results that are closest to the actual data in the field, with a relative error rate of 16.381%.
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Lipinski, Piotr, and Marcin Leplawy. "WiFi Electromagnetic Field Modelling for Indoor Localization." Open Physics 17, no. 1 (2019): 352–57. http://dx.doi.org/10.1515/phys-2019-0039.

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Abstract The aim of this paper is to develop simplified model for WiFi electromagnetic field propagation. The model can be used in preliminary estimation of WiFi transmitter localization for the purpose of WiFi-based indoor localization. It can be particularly useful when designing structural networks.We have developed a simplified linear model of WiFi electromagnetic field modelling and compared it with the most commonly used, more sophisticated models and with measurement results which were carried out in the laboratory. As demonstrated by the results of measurements conducted using various hardware, the accuracy of this simplified model introduced is similar to the commonly used models, but the number of parameters is lower. Therefore, our model easier to implement in real life conditions. The model presented in this paper enables WiFi electromagnetic field modelling when the exact values of propagation parameters and transmitter characteristics is unknown. This is usually the case at the early stage of structural network design,when exact parameters of building construction materials are not known. As the model is very simple, it does not require much effort to deploy, while its accuracy is sufficient for preliminary WiFi transmitter localization. Simplified models of WiFi electromagnetic field propagation are known, but no comparative research combined with measurements has been done in this field. This paper provides a comparison of different electromagnetic field models which can be applied to WiFi electromagnetic field propagation together with measurement results.
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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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Kuo-Hui Li, M. A. Ingram, and A. Van Nguyen. "Impact of clustering in statistical indoor propagation models on link capacity." IEEE Transactions on Communications 50, no. 4 (2002): 521–23. http://dx.doi.org/10.1109/26.996062.

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Lei Jiang and Soon Yim Tan. "Geometrically Based Statistical Channel Models for Outdoor and Indoor Propagation Environments." IEEE Transactions on Vehicular Technology 56, no. 6 (2007): 3587–93. http://dx.doi.org/10.1109/tvt.2007.901055.

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Akram, Beenish Ayesha, and Ali Hammad Akbar. "Wi-Fi Fingerprinting Based Room Level Indoor Localization Framework Using Ensemble Classifiers." January 2019 38, no. 1 (2019): 151–74. http://dx.doi.org/10.22581/muet1982.1901.13.

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Over the past decennium, Wi-Fi fingerprinting based indoor localization has seized substantial attention. Room level indoor localization can enable numerous applications to increase their diversity by incorporating user location. Real-world commercial scale deployments have not been realized because of difficulty in capturing radio propagation models. In case of fingerprinting based approaches, radio propagation model is implicitly integrated in the gathered fingerprints providing more realistic information as compared to empirical propagation models. We propose ensemble classifiers based indoor localization using Wi-Fi fingerprints for room level prediction. The major advantages of the proposed framework are, ease of training, ease to set up framework providing high room-level accuracy with trifling response time making it viable and appropriate for real time applications. It performs well in comparison with recurrently used ANN (Artificial Neural Network) and kNN (k-Nearest Neighbours) based solutions. Experiments performed showed that on our real-world Wi-Fi fingerprint dataset, our proposed approach achieved 89% accuracy whereas neural network and kNN based best found configurations achieved 85 and 82% accuracy respectively.
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Loch-Dehbi, Sandra, Youness Dehbi, and Lutz Plümer. "Estimation of 3D Indoor Models with Constraint Propagation and Stochastic Reasoning in the Absence of Indoor Measurements." ISPRS International Journal of Geo-Information 6, no. 3 (2017): 90. http://dx.doi.org/10.3390/ijgi6030090.

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Dissertations / Theses on the topic "Indoor propagation models"

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Tummala, Dinesh. "Indoor Propagation Modeling at 2.4 GHz for IEEE 802.11 Networks." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4924/.

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Indoor use of wireless systems poses one of the biggest design challenges. It is difficult to predict the propagation of a radio frequency wave in an indoor environment. To assist in deploying the above systems, characterization of the indoor radio propagation channel is essential. The contributions of this work are two-folds. First, in order to build a model, extensive field strength measurements are carried out inside two different buildings. Then, path loss exponents from log-distance path loss model and standard deviations from log-normal shadowing, which statistically describe the path loss models for a different transmitter receiver separations and scenarios, are determined. The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency. This thesis presents a channel model based on measurements conducted in commonly found scenarios in buildings. These scenarios include closed corridor, open corridor, classroom, and computer lab. Path loss equations are determined using log-distance path loss model and log-normal shadowing. The chi-square test statistic values for each access point are calculated to prove that the observed fading is a normal distribution at 5% significance level. Finally, the propagation models from the two buildings are compared to validate the generated equations.
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Bladlund, Sara. "Evolution of 3D User Distribution Models in Real Network Simulator." Thesis, Uppsala universitet, Signaler och System, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-139415.

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The report treats the development and evaluation of a three dimensional user distribution model for a real network simulator. The simulator is used to create realistic predictions of real networks with the use of high resolution maps including a building data base and network data and also an advanced radio model for LTE. Previously all simulations have been performed with a two dimensional user distribution, i.e. all users situated on the ground level. Since it is considered plausible that many LTE users will be indoors in buildings with multiple floors, several three dimensional user distribution models with users not only on the ground floor but also on the higher floors has been developed and implemented in the simulator. The models all account for the change in path loss and SINR to be expected and have been compared in computational time and credibility. The simulations show that by the use of such a three dimensional model there is a significant improvement at low loads but at high loads the interference becomes dominant and the results show a deterioration and approaches the results of the ordinary two dimensional model. The seventh and last model to be investigated shows a desirable computational speed that still does not compromise too much with the accuracy and detailing of the model and is therefore recommended for normal use.
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Hawbaker, Dwayne Allen. "Indoor wide band radio wave propagation measurements and models at 1.3 ghz and 4.0 ghz /." This resource online, 1989. http://scholar.lib.vt.edu/theses/available/etd-08182009-040436/.

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Hawbaker, Dwayne Allen. "Indoor wide band radio wave propagation measurements and models at 1.3 ghz and 4.0 ghz." Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/44287.

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An extensive radio wave propagation measurement campaign was conducted at 1.3 GHz and 4.0 GHz inside four buildings, including a sports arena, a modern closed-plan office building, and two dissimilar, open-plan factories. Measurements were recorded at 57 locations using base station antenna heights of 1.7 meters and 4.0 meters. Results were obtained for mean and maximum excess delay, rms delay spread, time delay jitter, differential delay jitter, and path loss through analyses of impulse response estimates, which were obtained via repetitive 5 ns probing pulses. The effects of frequency, antenna height, topography (line-of-sight or obstructed direct path), and building environment on delay spread and path loss are quantified. Results indicate that, on average, the frequencies and antenna heights used in this study have minimal impact on rms delay spread and path loss. However, topography and building environment significantly affect these parameters. RMS delay spread values as high as 230 ns were observed in open plan factories. Computed path loss power law exponents are 1.84 and 2.35 for line-of-sight and obstructed topographies, respectively. A second campaign was conducted to determine the effects of antenna directivity and polarization on propagation parameters. On average, line-of-sight indoor channels offer 8 dB of cross-polarization discrimination, whereas obstructed environments offer less than 3 dB. Directional antennas provide a significant reduction in rms delay spread over omni-directional antennas. In line-of-sight environments, circular polarization provides an additional delay spread reduction.<br>Master of Science
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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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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<br>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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Vyčítal, Jaroslav. "Šíření signálů bezdrátových komunikačních systémů IEEE 802.11." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377156.

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This paper deals with the propagation of waves. Here is the wavelength distribution according to the wavelength. It focuses on the UHF and SHF band in which IEEE802.11n operates. Contains model breakdown by cell type. Describes which propagation methods are dominant in the cell type. Several propagation patterns are presented, which are then modeled in Matlab environment.The models are then compared to experimental measurements.
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Lauer, Andreas. "Hybride Zeitbereichsmethoden zur feldorientierten Berechnung zeitinvarianter Modelle von Funkkanälen in Gebäuden - Hybrid Time Domain Methods for the Computation of Time Invariant Indoor Propagation Models." Gerhard-Mercator-Universitaet Duisburg, 2001. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06012001-094216/.

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Im Rahmen der seit ca. 1980 platzgreifenden Miniaturisierung wird es immer interessanter, kostengünstige miniaturisierte Funkgeräte für verschiedene Kommunikationszwecke auch in Gebäuden einzusetzen. Zu erwähnen sind hier vor allem moderne Funktelefone, zunehmend werden aber auch auch Funkstrecken zur Datenübertragung in der Industrie wie auch in privaten Haushalten eingesetzt. Funkübertragung in Gebäuden ist keineswegs unkritisch. Neben gewollten und unbeabsichtigten elektromagnetischen Emissionen stört vor allem die Streuung des elektromagnetischen Feldes an verschiedenartigen Objekten, die in Gebäuden in hoher Dichte vorhanden sind. Der Funkkanal im Gebäude wird in der Arbeit definiert und seine Berechnung in Antennen- und Ausbreitungsproblem aufgeteilt. Rotationssymmetrische Sende- und Empfangsantennen können so unabhängig vom Ausbreitungsproblem simuliert werden. Für die Antennen- und Ausbreitungssimulation wird je ein hybrides Zeitbereichsverfahren vorgestellt. Homogene Gebiete werden dabei mit der schnellen Diskreten Wellengleichung behandelt, Diskontinuitäten mit dem Yee-Schema diskretisiert. Die Verfahren werden unter Verwendung diskreter Feldoperatoren hergeleitet und in bezug auf Dispersion und Genauigkeit untersucht. Absorbierende Randbedingungen werden eingeführt und analysiert. Zur Verifikation der Antennensimulationsverfahren wurden Simulationen für Dipolantennen, eine Disconeantenne und eine koaxial gespeiste Monopolantenne durchgeführt und mit Meßdaten bzw. im Fall der Dipolantenne mit Ergebnissen eines anderen Simulationsverfahrens verglichen. In zwei Testszenarien wurden Transmissionsfaktoren von Funkkanälen in Gebäuden berechnet und Meßergebnissen gegenübergestellt. Die Übereinstimmung ist im Rahmen der für diese kritischen Simulationen zu erwartenden Genauigkeit gut. Die vorgestellten Zeitbereichsverfahren gestatten die Berechnung von Funkkanalimpulsantworten mit sehr hoher Zeitauflösung, wie sie in Forschung und Entwicklung benötigt werden. In Zukunft werden Zeitbereichssimulationen für Funkkanäle immer attraktiver werden, besonders dann, wenn die in der Vergangenheit beobachtete Leistungssteigerung bei Kleincomputern anhält. Doch auch mit heutigen Computern werden angemessen kurze Rechenzeiten bei sehr guten Ergebnissen erreicht.
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Queiroz, Andréa Duarte Carvalho de. "Análise de modelos de pedestres para a caracterização da radiopropagação em interiores." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-14102014-153106/.

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Neste trabalho, modelos de pedestres, utilizados para simular a caracterização da radiopropagação em interiores de edifícios, são reproduzidos, analisados e comparados em diversos ambientes e com diferentes fluxos de pedestres. Estes modelos têm como base o método de traçado de raios (imagens), e se diferenciam em relação ao formato (lâmina, paralelepípedo e cilindro), constantes eletromagnéticas (material absorvente, condutor e dielétrico) e mecanismos de espalhamento de onda eletromagnética (difração, reflexão ou ambos) considerados sobre o pedestre. Para cada um dos modelos, um algoritmo foi criado e detalhado através da apresentação de equações e estrutura dos dados. A análise dos modelos foi realizada em duas etapas de comparação: uma com dados empíricos e outra entre parâmetros de caracterização do canal, como desvanecimentos e dispersão no tempo, obtidos através de simulações com cada tipo de modelo de pedestre. Dentre os vinte e nove modelos ensaiados, os resultados da análise mostraram que o pedestre modelado por um cilindro condutor é aquele que apresenta resultados mais satisfatórios.<br>In this work, pedestrian models, used to simulate characterization of indoor radio propagation are reproduced, analyzed and compared in different environments with different pedestrian flows. These models are based on the image ray-tracing method, and differs themselves on shape (plate, cylinder and cuboid), electromagnetic constant (absorber, conductive and dielectric materials) and considered spread mechanisms (diffraction, reflection, or both). For each model, an algorithm is created and detailed through the presentation of equations and data structure. The models analysis were made in two comparison steps: one with empirical data and the other with the environment characterization parameters, like fading and time spread, obtained through simulations of each pedestrian model. Within twenty nine models simulation, the results analysis show that the most satisfactory results are given by the model that considers the pedestrian as a conducting cylinder.
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Ha, Sean Anthony. "3.5 GHz Indoor Propagation Modeling and Channel Characterization." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/53949.

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In the push for spectrum sharing and open spectrum access, the 3.5 GHz frequency band is under consideration for small cells and general Wireless Local Area Networks (WLAN) in the United States. The same band is beginning to see deployment in China, Japan, and South Korea, for the 4G Long Term Evolution (LTE) cellular standard to increase coverage and capacity in urban areas through small cell deployment. However, since the adoption of this band is new, there is a distinct shortage of propagation data and accurate channel modeling at 3.5 GHz in indoor environments. These models are necessary for cellular coverage planning and evaluating the performance and feasibility of wireless systems. This report presents the results of a fixed wireless channel measurement campaign at 3.5 GHz. Measurements were taken in environments typical of indoor wireless deployment: traditional urban indoor office, hallway, classroom, computer laboratory, and atrium areas, as well as within a hospital. Primarily Non Line of Sight (NLOS) experiments were carried out in areas with a controllable amount of partitions separating the transmitter and receiver in order to document material-based attenuation values. Indoor-to-outdoor measurements were carried out, focusing on attenuation due to common exterior building materials such as concrete, brick, wood, and reinforced glass. Documented metrics include large scale path loss, log-normal shadowing, and channel power delay profiles combined with delay spread characteristics for multipath analysis. The statistical multi-antenna diversity gain was evaluated to gauge the benefit of using multi-antenna systems in an indoor environment, which has much greater spatial diversity than an outdoor environment. Measurements were compared to indoor path loss models used for WLAN planning in the low GHz range to investigate the applicability of extending these models to 3.5 GHz.<br>Master of Science
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Books on the topic "Indoor propagation models"

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

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Book chapters on the topic "Indoor propagation models"

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Caso, Giuseppe, and Luca De Nardis. "On the Applicability of Multi-wall Multi-floor Propagation Models to WiFi Fingerprinting Indoor Positioning." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27072-2_21.

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Artemenko, Oleksandr, Adarsh Harishchandra Nayak, Sanjeeth Baptist Menezes, and Andreas Mitschele-Thiel. "Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data." In Ad Hoc Networks. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25067-0_1.

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Rubina, Alina, Oleksandr Andryeyev, Mehdi Harounabadi, Ammar Al-Khani, Oleksandr Artemenko, and Andreas Mitschele-Thiel. "Investigation and Adaptation of Signal Propagation Models for a Mixed Outdoor-Indoor Scenario Using a Flying GSM Base Station." In Ad Hoc Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51204-4_11.

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Driessen, P. F., M. Gimersky, and T. Rhodes. "Ray Model of Indoor Propagation." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3162-3_15.

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Curipoma Hernández, Danny, Patricia Ludeña-González, Francisco Sandoval, Carlos Macas Malán, and Marco Morocho-Yaguana. "An Adapted Indoor Propagation Model for Colonial Buildings." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32033-1_23.

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Sun, Yongliang, Jian Wang, Wenfeng Li, Rui Jiang, and Naitong Zhang. "Crowdsourcing-Based Indoor Propagation Model Localization Using Wi-Fi." In Communications and Networking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66628-0_56.

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Bendallah, Ali, and Ivica Kostanic. "Experimental Validation of Lafortune-Lacrous Indoor Propagation Model at 1900 MHz Band." In Transactions on Engineering Technologies. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7236-5_11.

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Wang, Qu, Haiyong Luo, Xile Gao, Jie Wei, and Fang Zhao. "An Indoor Three Dimensional Positioning Algorithm Based on Attitude Identification and Visible Light Propagation Model." In China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4588-2_32.

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Krzysztofik, Wojciech Jan. "Radio Network Planning and Propagation Models for Urban and Indoor Wireless Communication Networks." In Antennas and Wave Propagation. InTech, 2018. http://dx.doi.org/10.5772/intechopen.75384.

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Del Río, Laura Victoria Escamilla, and Juan Michel García Díaz. "Ad Hoc Communications for Wireless Robots in Indoor Environments." In Mobile Ad Hoc Robots and Wireless Robotic Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2658-4.ch016.

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Abstract:
This chapter presents a theoretical and experimental comparison of electromagnetic propagation models for indoor robot communication using mobile ad-hoc IEEE802.11 and IEEE802.15.4. The analysis includes the behavior of the electromagnetic signal using the abovementioned standards in two scenarios, both located inside the building of the College of Telematics of the University of Colima. The results of the propagation of the electromagnetic signals in the two scenarios were then compared with the mathematical model.
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Conference papers on the topic "Indoor propagation models"

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Kochlan, Michal, and Juraj Micek. "Indoor propagation of 2.4GHz radio signal propagation models and experimental results." In 2014 International Conference on Digital Technologies (DT). IEEE, 2014. http://dx.doi.org/10.1109/dt.2014.6868703.

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Ioffe, Anatoliy S., and David Wittwer. "Order reduction of indoor home propagation channel models." In 2007 IEEE Antennas and Propagation Society International Symposium. IEEE, 2007. http://dx.doi.org/10.1109/aps.2007.4395755.

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Chai, Peiliang, and Liang Zhang. "Indoor radio propagation models and wireless network planning." In 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2012. http://dx.doi.org/10.1109/csae.2012.6272872.

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"INDOOR PROPAGATION MODELS AND RADIO PLANNING FOR WLANS." In 1st International Conference on E-business and Telecommunication Networks. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0001390500870092.

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Abbas, Zaheer, Jad Nasreddine, Janne Riihijarvi, and Petri Mahonen. "Long-term indoor propagation models for radio resource management." In 2012 IEEE Thirteenth International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2012. http://dx.doi.org/10.1109/wowmom.2012.6263703.

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McDonnell, J. T. E. "5 GHz indoor channel characterization: measurements and models." In IEE Colloquium on Antennas and Propagation for Future Mobile Communications. IEE, 1998. http://dx.doi.org/10.1049/ic:19980139.

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Born, Alexander, Mario Schwiede, and Ralf Bill. "On distance estimation based on radio propagation models and outlier detection for indoor localization in Wireless Geosensor Networks." In 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2010. http://dx.doi.org/10.1109/ipin.2010.5647102.

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Xu, Ding, Jianhua Zhang, Xinying Gao, Ping Zhang, and Yufei Wu. "Indoor Office Propagation Measurements and Path Loss Models at 5.25 GHz." In 2007 IEEE 66th Vehicular Technology Conference. IEEE, 2007. http://dx.doi.org/10.1109/vetecf.2007.185.

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Yeong, Shoa-Yei, Wafaa Al-Salihy, and Tat-Chee Wan. "Indoor WLAN Monitoring and Planning Using Empirical and Theoretical Propagation Models." In 2010 Second International Conference on Network Applications Protocols and Services (NETAPPS). IEEE, 2010. http://dx.doi.org/10.1109/netapps.2010.36.

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Elburki, Nagma, Souheib Ben Amor, and Sofiene Affes. "Evaluation of Path-Loss Models for THz Propagation in Indoor Environments." In 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2020. http://dx.doi.org/10.1109/ccece47787.2020.9255759.

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