scholarly journals Radio Wave Propagation in Perpendicular Streets of Urban Street Grid for Microcellular Communications. Part I: Channel Modeling

2003 ◽  
Vol 40 ◽  
pp. 229-254 ◽  
Author(s):  
H. M. El-Sallabi ◽  
P. Vainikainen
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
Channel Modeling ◽  
Radio Wave Propagation ◽  
Urban Street

scholarly journals Wireless Channel Models for Over-the-Sea Communication: A Comparative Study

2019 ◽  
Vol 9 (3) ◽  
pp. 443 ◽  
Author(s):  
Arafat Habib ◽  
Sangman Moh
Keyword(s):  
Wave Propagation ◽  
Comparative Study ◽  
Radio Wave ◽  
Marine Environment ◽  
Channel Model ◽  
Channel Modeling ◽  
Wireless Channel ◽  
Radio Wave Propagation ◽  
Channel Models ◽  
The Impact

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.

Characterizing Radio Wave Propagation in Urban Street Canyon With Vehicular Blockage at 28 GHz

2020 ◽  
Vol 69 (2) ◽  
pp. 1227-1236 ◽  
Author(s):  
Dmitrii Solomitckii ◽  
Yevgeni Koucheryavy ◽  
Vasilii Semkin ◽  
Aki Karttunen ◽  
Vitaly Petrov ◽  
...  
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
Street Canyon ◽  
Radio Wave Propagation ◽  
Urban Street Canyon ◽  
Urban Street

scholarly journals Radio Wave Propagation and Wireless Channel Modeling 2013

2014 ◽  
Vol 2014 ◽  
pp. 1-2 ◽  
Author(s):  
Bo Ai ◽  
Thomas Kürner ◽  
César Briso Rodríguez ◽  
Hsiao-Chun Wu
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
Channel Modeling ◽  
Wireless Channel ◽  
Radio Wave Propagation ◽  
Wireless Channel Modeling

scholarly journals Radio Wave Propagation Scene Partitioning for High-Speed Rails

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Bo Ai ◽  
Ruisi He ◽  
Zhangdui Zhong ◽  
Ke Guan ◽  
Binghao Chen ◽  
...  
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
High Speed ◽  
Measurement Data ◽  
Channel Modeling ◽  
Wireless Channel ◽  
Radio Wave Propagation ◽  
Railway Station ◽  
Wireless Channel Modeling ◽  
Passenger Dedicated Line

Radio wave propagation scene partitioning is necessary for wireless channel modeling. As far as we know, there are no standards of scene partitioning for high-speed rail (HSR) scenarios, and therefore we propose the radio wave propagation scene partitioning scheme for HSR scenarios in this paper. Based on our measurements along the Wuhan-Guangzhou HSR, Zhengzhou-Xian passenger-dedicated line, Shijiazhuang-Taiyuan passenger-dedicated line, and Beijing-Tianjin intercity line in China, whose operation speeds are above 300 km/h, and based on the investigations on Beijing South Railway Station, Zhengzhou Railway Station, Wuhan Railway Station, Changsha Railway Station, Xian North Railway Station, Shijiazhuang North Railway Station, Taiyuan Railway Station, and Tianjin Railway Station, we obtain an overview of HSR propagation channels and record many valuable measurement data for HSR scenarios. On the basis of these measurements and investigations, we partitioned the HSR scene into twelve scenarios. Further work on theoretical analysis based on radio wave propagation mechanisms, such as reflection and diffraction, may lead us to develop the standard of radio wave propagation scene partitioning for HSR. Our work can also be used as a basis for the wireless channel modeling and the selection of some key techniques for HSR systems.

scholarly journals An Underground Radio Wave Propagation Prediction Model for Digital Agriculture

Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 147 ◽  
Author(s):  
Abdul Salam
Keyword(s):  
Wave Propagation ◽  
Soil Moisture ◽  
Radio Wave ◽  
Channel Modeling ◽  
Radio Wave Propagation ◽  
Field Analysis ◽  
Response Analysis ◽  
Sensing Applications ◽  
Monitoring Applications ◽  
Digital Agriculture

Underground sensing and propagation of Signals in the Soil (SitS) medium is an electromagnetic issue. The path loss prediction with higher accuracy is an open research subject in digital agriculture monitoring applications for sensing and communications. The statistical data are predominantly derived from site-specific empirical measurements, which is considered an impediment to universal application. Nevertheless, in the existing literature, statistical approaches have been applied to the SitS channel modeling, where impulse response analysis and the Friis open space transmission formula are employed as the channel modeling tool in different soil types under varying soil moisture conditions at diverse communication distances and burial depths. In this article, an electromagnetic field analysis is presented as an enhanced monitoring approach for subsurface radio wave propagation and underground sensing applications in the field of digital agriculture. The signal strength results are shown for different distances and depths in the subsurface medium. The analysis shows that the lateral wave is the dominant wave in subsurface communications. Moreover, the shallow depths are more suitable for soil moisture sensing and long-range underground communications. The developed paradigm leads to advanced system design for real-time soil monitoring applications.

scholarly journals Radio Wave Propagation and Wireless Channel Modeling

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Ai Bo ◽  
Thomas Kürner ◽  
César Briso Rodríguez ◽  
Hsiao-Chun Wu
Keyword(s):  
Wave Propagation ◽  
Radio Wave ◽  
Channel Modeling ◽  
Wireless Channel ◽  
Radio Wave Propagation ◽  
Wireless Channel Modeling
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