Propagation prediction models for wireless communication systems

Iskander, Magdy F.; Yun, Zhengqing

doi:10.1109/22.989951

Cited by 357 publications

(217 citation statements)

References 113 publications

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“…For this reason, the International Telecommunication Union (ITU) recommends an expression for rain attenuation at a given frequency and rain rate [1][2][3]. However, although this simple model is widely used in telecommunications, since the drop size distribution changes on different continents or in different districts, the ITU model may not be representative of weather around the world.…”

Section: Introductionmentioning

confidence: 99%

Simulation of discrete electromagnetic propagation model for atmospheric effects on mobile communication

Şeker¹,

Kunter²

2013

Turk J Elec Eng & Comp Sci

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Abstract:Wireless communication has become an important part of our lives, and atmospheric effects are one of the ultimate factors affecting quality of communication and satellite systems. In this study the attenuation in mobile communication due to atmospheric events like snow and rain is simulated using the discrete propagation model. In this work, spherical raindrop and oblate spheroid raindrop modeling are used. To check the validity of simulations, the commonly used and accepted ITU-R rain model is used. Oblate spheroid raindrop modeling produces results that are more compatible with ITU-R results, especially at frequencies higher than 50 GHz. At lower frequencies, both raindrop shapes produce results that are not compatible with ITU-R results. Moreover, attenuation of snow is simulated for different types using the discrete propagation model and uniform distribution of snowflakes. The attenuation of vegetation is also simulated. It is found that snow attenuation is higher than rain attenuation, specifically because of the differences in particle size. In all simulations, frequencies of GSM communication of 900 MHz, 1800 MHz, and 2270MHz are used for calculation and discussion of the results.

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Section: Introductionmentioning

confidence: 99%

Simulation of discrete electromagnetic propagation model for atmospheric effects on mobile communication

Şeker¹,

Kunter²

2013

Turk J Elec Eng & Comp Sci

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“…A more balanced solution for the propagation prediction of highly diffractive coefficients and offering a reasonable trade off between accuracy and computational time is reported based on geometrical optics [13].…”

Section: The Channel Simulatormentioning

confidence: 99%

Band‐pass filter‐like antenna validation in an ultra‐wideband in‐car wireless channel

Zuazola

Azpilicueta²,

Sharma

et al. 2015

IET Communications

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“…The general trend in the development of modern wireless communication systems includes the use of higher data rates (broader frequency band), as well as propagation in more complex environments [1]. Since wireless communications rely on electromagnetic (EM) waves to carry messages, a detailed and thorough comprehension of the pattern of radio waves propagation in complex environment contributes significantly to the effectual design and implementation of reliable wireless communication systems.…”

Section: Introductionmentioning

confidence: 99%

Measured radio wave behavior of a partially open drain in urban environment

Lim

Liew

2012

IET International Conference on Wireless Communications and Applications (ICWCA 2012)

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This paper attempts to analyze the propagation characteristics of radio signal inside a partially open drain environment using an empirical approach. The proposed research topic concerns a unique situation in several Asian countries because the drainage systems in these countries differ notably from those in the US and Europe in that the former are partially open on the top while the latter are primarily below ground and covered. Measurement results are reported for one drain located on Sunway University campus at 2.4 and 5.8 GHz.The differences between the measurement results at the aforementioned two frequencies are discussed. These measurement results serve as a useful indicator as to how signal might behave differently in partially enclosed spaces, such as those where partially open drains exist, especially in an urban environment.

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Propagation prediction models for wireless communication systems

Cited by 357 publications

References 113 publications

Simulation of discrete electromagnetic propagation model for atmospheric effects on mobile communication

Simulation of discrete electromagnetic propagation model for atmospheric effects on mobile communication

Band‐pass filter‐like antenna validation in an ultra‐wideband in‐car wireless channel

Measured radio wave behavior of a partially open drain in urban environment

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