Overwater ultraviolet non-line-of-sight communication channel modeling and analysis

Author(s):  
Tian Lang ◽  
Crystal Han ◽  
Juan Marquez ◽  
Gang Chen
2015 ◽  
Vol 9 (5) ◽  
pp. 223-231 ◽  
Author(s):  
Linchao Liao ◽  
Robert J. Drost ◽  
Zening Li ◽  
Tian Lang ◽  
Brian M. Sadler ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Iury S. Batalha ◽  
Andréia V. R. Lopes ◽  
Jasmine P. L. Araújo ◽  
Fabrício J. B. Barros ◽  
Bruno L. S. Castro ◽  
...  

With the advent of 5G mobile communication and researches into the propagation of large-scale channel modeling for frequencies above 6 GHz, measurement investigation was performed at 10 GHz with horn-type directional antennas in a corridor and a computer room within the Electrical and Computer Engineering Laboratories’ first floor, at Federal University of Pará (UFPA), Brazil. This paper presents data obtained through experimental work, channel modeling with co-polarization V-V and H-H and cross-polarization V-H in line-of-sight (LOS) or non-line-of-sight (NLOS) conditions. The large-scale close-in reference is sustained by a comprehensive analysis, considering propagation mechanisms such as reflection and diffraction. Results demonstrate that the established model had inferior standard deviation in relation to measured data, proving itself more significant to propagation in indoor environments.


Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2154
Author(s):  
Wenping Xie ◽  
Xiaomin Chen ◽  
Kai Mao ◽  
Yuxin Liu ◽  
Lugao Yin ◽  
...  

Symmetry-based channel digital twin is a great technology which can reproduce the communication channel of real scenes for performance evaluation of the wireless sensor network (WSN) inside tower buildings, based on the ray tracing (RT) method and machine learning (ML) theories, a cluster-based channel model is proposed in this paper. Meanwhile, an improved k-means method, which considers the weight of different dimensions in the multipath component distance (MCD) is presented for clustering, which has better clustering performance over the sparsity-based algorithm and traditional k-means algorithm. Moreover, the channel parameters such as cluster delay and cluster power are also investigated. On this basis, the communication performance of WSN, i.e., bit error rate (BER) and channel capacity are derived and analyzed. The simulation and analysis results show that the cluster model based on the RT method can get approximately equivalent channel impulse response (CIR), and the BER of proposed model is consistent with the simulated one. These results can provide reference for the node layout and optimization of WSN inside tower buildings.


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