Academic literature on the topic 'Recommendation ITU-R P.1546'

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Journal articles on the topic "Recommendation ITU-R P.1546"

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Paran, Kian, and Narges Noori. "TUNING OF THE PROPAGATION MODEL ITU-R P.1546 RECOMMENDATION." Progress In Electromagnetics Research B 8 (2008): 243–55. http://dx.doi.org/10.2528/pierb08062201.

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Wang, Han, Wencai Du, and Xing Chen. "Evaluation of Radio over Sea Propagation Based ITU-R Recommendation P.1546-5." Journal of Communications 10, no. 4 (2015): 231–37. http://dx.doi.org/10.12720/jcm.10.4.231-237.

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Ostlin, E., H. Suzuki, and H. J. Zepernick. "Evaluation of the Propagation Model Recommendation ITU-R P.1546 for Mobile Services in Rural Australia." IEEE Transactions on Vehicular Technology 57, no. 1 (2008): 38–51. http://dx.doi.org/10.1109/tvt.2007.901902.

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Fraiha Lopes, Ramz L., Simone G. C. Fraiha, Herminio S. Gomes, Vinicius D. Lima, and Gervasio P. S. Cavalcante. "Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for Amazon Urbanized Cities." International Journal of Antennas and Propagation 2020 (March 18, 2020): 1–12. http://dx.doi.org/10.1155/2020/8494185.

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This study sets out an empirical hybrid autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) model designed to estimate electromagnetic wave propagation in densely forested urban areas. Received signal power intensity data was acquired through measurement campaigns carried out in the Metropolitan Area of Belém (MAB), in the Brazilian Amazon. Comparisons were made between estimates from classical least squares (LS) fitting and ITU (International Telecommunication Union) recommendation P. 1546-5. The results indicate the model is, at least, 44% more precise than e
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He, Jialuan, Zirui Xing, Qiang Wang, Feihong Wu, and Fuyong Lu. "A Study on the Diffraction Correction Prediction of Electromagnetic Field Intensity Based on the Method of Estimating Aerial Access Network Signal." Wireless Communications and Mobile Computing 2021 (September 11, 2021): 1–13. http://dx.doi.org/10.1155/2021/8136833.

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Field strength is a typical indicator of air access network signals, and the prediction of field strength has important reference significance for the estimation of aerial access network signals. However, many factors affecting the field strength, such as path, terrain, sunshine, and climate, increase the computational complexity, which greatly increases the difficulty of establishing an accurate prediction system. After persistent research by researchers in recent years, the ITU-R P.1546 model has gradually become a point-to-surface forecasting method for ground services recommended by ITU fo
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Rodrigues, Christian Fragoas, Lisandro Lovisolo, and Lucas Muratori. "On the Parameters of ITU-R P.1546 Propagation Model for Dual-Polarization Links." IEEE Transactions on Broadcasting 66, no. 1 (2020): 56–65. http://dx.doi.org/10.1109/tbc.2019.2909181.

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Lewicki, Fryderyk. "ZASTOSOWANIE METOD WG ZALECEŃ ITU-R P. 528 i P.1546 DO PREDYKCJI NATĘŻENIA POLA DLA SŁUŻB LOTNICZYCH." PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE 1, no. 4 (2015): 255–57. http://dx.doi.org/10.15199/59.2015.4.63.

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Pinto Mangones, Angel Dario, Nelson Alexander Pérez García, Juan Manuel Torres Tovio, et al. "Rainfall rate and rain attenuation contour maps for preliminary “Simon Bolivar” satellite links planning in Venezuela." DYNA 86, no. 209 (2019): 30–39. http://dx.doi.org/10.15446/dyna.v86n209.73774.

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Predicting precipitation rate and rainfall attenuation are key aspects in planning and dimensioning of wireless communications systems operating at frequencies above 10 GHz, such as satellite communication systems at Ku and Ka bands. In this paper, contour maps of rainfall rate and rain attenuation are developed for the first time in Venezuela, based on 1-min rain rate statistics obtained from measurements carried out in Venezuela over at least 30 years period with a higher integration time and using Rice-Holmberg model, refined Moupfouma-Martin model and Recommendation ITU-R P.837-7, for rain
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Suh, Kyoung-Whoan. "A Consideration for Field Strength Analysis Based on Rec. ITU-R P.1546 Applicable to ATV to DTV Conversion." Journal of Broadcast Engineering 16, no. 5 (2011): 824–33. http://dx.doi.org/10.5909/jeb.2011.16.5.824.

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Weinmann, Frank, and Klaus Dostert. "Verification of background noise in the short wave frequency range according to recommendation ITU-R P.372." AEU - International Journal of Electronics and Communications 60, no. 3 (2006): 208–16. http://dx.doi.org/10.1016/j.aeue.2005.03.005.

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Dissertations / Theses on the topic "Recommendation ITU-R P.1546"

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Östlin, Erik. "On Radio Wave Propagation Measurements and Modelling for Cellular Mobile Radio Networks." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00443.

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To support the continuously increasing number of mobile telephone users around the world, mobile communication systems have become more advanced and sophisticated in their designs. As a result of the great success with the second generation mobile radio networks, deployment of the third and development of fourth generations, the demand for higher data rates to support available services, such as internet connection, video telephony and personal navigation systems, is ever growing. To be able to meet the requirements regarding bandwidth and number of users, enhancements of existing systems and
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Mayrink, Marco Antonio de Souza. "Uma nova abordagem da recomendação ITU-R P.1546 para a predição de cobertura em enlaces curtos sobre terrenos mistos." Universidade Federal de Minas Gerais, 2005. http://hdl.handle.net/1843/CGRO-6JZKPP.

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The International Telecommunication Union has in the Recommendation ITU-R P.1546 a method for point-to-area predictions for terrestrial services in the frequency range 30 MHz to 3000 MHz. That recommendation was proposed to mitigate known limitations associated to distances and frequencies range, combining several existent methods in one. In the present work, motivated by an acquainted deficiency of the recommendation in the covering prediction for short mixed-paths with a clear line-of-sight, we suggest an improvement of the recommendation in what concerns the treatment of these paths, based
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Book chapters on the topic "Recommendation ITU-R P.1546"

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Delgado Cuadro, Enrique Ismael, and Joffre León-Acurio. "Optimization of Recommendation ITU-R P.1812-3 for the Propagation Losses Prediction in Digital Terrestrial Television System." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72727-1_1.

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Howell, R. G. "Earth-space propagation: Recommendation ITU-R P.618." In Propagation of Radiowaves. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbew502e_ch21.

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Hewitt, Tim. "The principal elements of Recommendation ITU-R P.452." In Propagation of Radiowaves. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbew502e_ch20.

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Mohammed, Habib, Tessema T. Terefe, and Sultan Feisso. "Coverage Determination of Incumbent System and Available TV White Space Channels for Secondary Use in Ethiopia." In Vision Sensors [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98784.

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Different path loss modelsare used to analyze the behavior of terrestrial television signals. The path loss calculated by one model differs from the other depending on different factors they consider. Frequency is one of the main factors included in each model. The frequency variation in the electromagnetic spectrum causes different response for each model. In terrestrial TV signal representation, since it is operating under VHF and UHF spectrum range, the propagation model used to model the signal must be less invariant when the transmitter is operating in VHF and UHF. If the pathloss model used is very variant it is difficult to define the coverage of the transmitters. This causes interference among transmitters and between the digital terrestrial TV transmitters and TV white space devices. Different propagation models are analyzed by their sensitivity to frequency variation from very-high and ultra-high frequency spectrums. After the best model is selected, we have used this model to find the coverage of the incumbent transmitter, which then is used to analyze free channels for secondary use. First the pathloss at VHF and then for UHF is calculated. This difference is then compared and the result indicates that ITU-R P.1546–5, which incorporate terrain data is best of others. Using this model and further analyze the coverage and free channels, we have found a minimum of 408 MHz free contiguous bandwidth, by considering a worst-case scenario, which is placing a WSD at the incumbent transmitter.
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Conference papers on the topic "Recommendation ITU-R P.1546"

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Noori, Narges, and Kian Paran. "A Modification on the Field Prediction Method in ITU-R P.1546 Recommendation." In 2007 Asia-Pacific Microwave Conference - (APMC 2007). IEEE, 2007. http://dx.doi.org/10.1109/apmc.2007.4555084.

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Ostlin, E., H. M. Zepernick, and H. Suzuki. "Evaluation of the new semi-terrain based propagation model recommendation ITU-R P.1546." In 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484). IEEE, 2003. http://dx.doi.org/10.1109/vetecf.2003.1284989.

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Bae, Seok-Hee, and Dong-Ho Cha. "A new approach for 1km urban propagation model of the recommendation ITU-R P.1546." In 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2014. http://dx.doi.org/10.1109/usnc-ursi.2014.6955618.

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Kaschel, Hector, Sergio Cordero, Eduardo Costoya, and Marcelo Pandolfo. "Comparative Analysis of the Two Ray Field Strength on Radio Mobile ITM Model and Recommendation ITU-R P.1546." In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). IEEE, 2021. http://dx.doi.org/10.1109/icaacca51523.2021.9465258.

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Jang, Jeong-Seok, Min Soo Kang, and Kyoung-hak Lee. "A Development of Prediction Program for Electric Field Strength Using the ITU-R. P.1546 Recommendation with Geographic Information." In 2013 International Conference on IT Convergence and Security (ICITCS). IEEE, 2013. http://dx.doi.org/10.1109/icitcs.2013.6717773.

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Anedda, M., A. Anedda, and M. Murroni. "Coverage optimization for DVB-T2 SFNs using ITU-R P.1546 and ITU-R P.1812." In 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2015. http://dx.doi.org/10.1109/bmsb.2015.7177188.

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Joo, Inone, and Cheonsig Sin. "GNSS jamming propagation prediction simulator based on ITU-R P.1546 model." In 2016 16th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2016. http://dx.doi.org/10.1109/iccas.2016.7832431.

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Joo, Inone, and Cheonsig Sin. "Design of GNSS jamming propagation simulator using ITU-R P.1546 propagation model." In 2015 15th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2015. http://dx.doi.org/10.1109/iccas.2015.7364850.

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Kolomicev, M. A., and A. A. Mandryka. "Comparative analysis of basic principles of computation of radio attenuation observed in recommended guideline ITU-R P.452 and ITU-R R.1546." In 2010 20th International Crimean Conference "Microwave & Telecommunication Technology" (CriMiCo 2010). IEEE, 2010. http://dx.doi.org/10.1109/crmico.2010.5632347.

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Kalliovaara, Juha, Reijo Ekman, Tero Jokela, et al. "Suitability of ITU-R P.1546 propagation predictions for allocating LTE SDL with GE06." In 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2017. http://dx.doi.org/10.1109/bmsb.2017.7986174.

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