scholarly journals Propagation and Wireless Channel Modeling Development on Wide-Sense Vehicle-to-X Communications

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Wenyi Jiang ◽  
Ke Guan ◽  
Zhangdui Zhong ◽  
Bo Ai ◽  
Ruisi He ◽  
...  

The need for improving the safety and the efficiency of transportation systems has become of extreme importance. In this regard, the concept of vehicle-to-X (V2X) communication has been introduced with the purpose of providing wireless communication technology in vehicular networks. Not like the traditional views, the wide-sense V2X (WSV2X) communications in this paper are defined by including not only vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications but also train-to-X (T2X) communications constituted of train-to-train (T2T) and train-to-infrastructure (T2I) communications. All the information related to the wide-sense V2X channels, such as the standardization, scenarios, characters, and modeling philosophies, is organized and summarized to form the comprehensive understanding of the development of the WSV2X channels.

2011 ◽  
Author(s):  
P. Sri Saini ◽  
Shanthi Prince ◽  
P. Predeep ◽  
Mrinal Thakur ◽  
M. K. Ravi Varma

Author(s):  
Theofilos Chrysikos ◽  
Stavros Kotsopoulos ◽  
Eduard Babulak

The aim of this chapter is to summarize and present recent findings in the field of wireless channel modeling that provide a new method for the reliable calculation of the statistical parameters of large-scale variations of the average received signal (shadow fading). This algorithm is theoretically based on a path loss estimation model that incorporates losses due to walls and floors. This has been confirmed to be the most precise mathematical tool for average signal strength prediction for various frequencies of interest and propagation environments. The total path loss is estimated as a sum of two independent attenuation processes: free space loss and losses due to obstacles. This solution allows for a direct and reliable calculation of the deviation of the fluctuations of the average received signal in an obstacle-dense environment.


2018 ◽  
Vol 56 (5) ◽  
pp. 177-183 ◽  
Author(s):  
Ruisi He ◽  
Bo Ai ◽  
Andreas F. Molisch ◽  
Gordon L. Stuber ◽  
Qingyong Li ◽  
...  

2016 ◽  
Vol 54 (7) ◽  
pp. 93-99 ◽  
Author(s):  
Paul Ferrand ◽  
Mustapha Amara ◽  
Stefan Valentin ◽  
Maxime Guillaud

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