Wireless Communication Signals

2021 ◽  
Author(s):  
Hüseyin Arslan
Keyword(s):  
Wireless Communication ◽  
Communication Signals

The Effects of 884 MHz GSM Wireless Communication Signals on Self-reported Symptom and Sleep (EEG)- An Experimental Provocation Study

PIERS Online ◽  
2007 ◽  
Vol 3 (7) ◽  
pp. 1148-1150 ◽  
Author(s):  
Bengt B Arnetz ◽  
Torbjorn Akerstedt ◽  
Lena Hillert ◽  
Arne Lowden ◽  
N. Kuster ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Sleep Eeg ◽  
Communication Signals

GSM and DCS Wireless Communication Signals: Combined Chronic Toxicity/Carcinogenicity Study in the Wistar Rat

2007 ◽  
Vol 168 (4) ◽  
pp. 480-492 ◽  
Author(s):  
Paul Smith ◽  
Niels Kuster ◽  
Sven Ebert ◽  
Hans-Jörg Chevalier
Keyword(s):  
Wireless Communication ◽  
Chronic Toxicity ◽  
Wistar Rat ◽  
Communication Signals ◽  
Carcinogenicity Study

Effects of 900 MHz GSM Wireless Communication Signals on DMBA-Induced Mammary Tumors in Rats

2006 ◽  
Vol 165 (2) ◽  
pp. 174-180 ◽  
Author(s):  
Da Yu ◽  
Yonghao Shen ◽  
Niels Kuster ◽  
Yiti Fu ◽  
Huai Chiang
Keyword(s):  
Wireless Communication ◽  
Mammary Tumors ◽  
Communication Signals

scholarly journals Predicting leaf state effects on radiowaves based on propagation loss measurements

2019 ◽  
Vol 292 ◽  
pp. 02005
Author(s):  
Mohammed Saleh H. Al Salameh
Keyword(s):  
Wireless Communication ◽  
Least Squares ◽  
Least Squares Method ◽  
Measured Data ◽  
Propagation Model ◽  
Propagation Loss ◽  
Operating Frequency ◽  
Loss Model ◽  
Communication Signals

A new propagation model is proposed for estimating the attenuation of wireless communication signals in woodland environments. After rainfall or snowfall, the components of the woodland area become moist which degrades the received signal level. To take this into account, the model considers wet/dry states of the foliage, and its dependency on the operating frequency. The parameters of the propagation loss model are optimized using the least squares method. To demonstrate the validity and usefulness of the model, computed results are compared with measured data where excellent matching is observed. It is noted that not only the foliage and rainfall affect the propagation phenomenon, but also wet foliage condition after rainfall contributes to the fading of the wave.

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