The influence of vehicular traffic on cellular wireless system performance at microwave carrier frequencies

2012 ◽  
Author(s):  
K. A. Anang ◽  
T. I. Eneh ◽  
L. Bello ◽  
D. L. Larkai
Keyword(s):  
System Performance ◽  
Vehicular Traffic ◽  
Wireless System ◽  
Cellular Wireless

Optical Wireless System Performance, Deployment, and Optimization

2021 ◽  
pp. 293-328
Author(s):  
Eugenio Ruggeri ◽  
Apostolos Tsakyridis ◽  
Christos Vagionas ◽  
Amalia Miliou ◽  
Shafiullah Malekzai ◽  
...  
Keyword(s):  
System Performance ◽  
Optical Wireless ◽  
Wireless System

Resource Allocation for Selective Relaying Based Cellular Wireless System with Imperfect CSI

2013 ◽  
Vol 61 (5) ◽  
pp. 1822-1834 ◽  
Author(s):  
S. Mallick ◽  
R. Devarajan ◽  
M. M. Rashid ◽  
V. K. Bhargava
Keyword(s):  
Resource Allocation ◽  
Imperfect Csi ◽  
Wireless System ◽  
Cellular Wireless

scholarly journals The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4343
Author(s):  
Naoui Mohamed ◽  
Flah Aymen ◽  
Zaafouri Issam ◽  
Mohit Bajaj ◽  
Sherif S. M. Ghoneim ◽  
...  
Keyword(s):  
System Performance ◽  
Mutual Inductance ◽  
Transportation Systems ◽  
Electrical Machine ◽  
Wireless System ◽  
Size Number ◽  
External Conditions ◽  
The Impact ◽  
The Relationship ◽  
The Ideal

Recently, most transportation systems have used an integrated electrical machine in their traction scheme, resulting in a hybrid electrified vehicle. As a result, an energy source is required to provide the necessary electric power to this traction portion. However, this cannot be efficient without a reliable recharging method and a practical solution. This study discusses the wireless recharge solutions and tests the system’s effectiveness under various external and internal conditions. Moreover, the Maxwell tool is used in this research to provide a complete examination of the coils’ position, size, number, and magnetic flux evolution when the coils are translated. In addition, the mutual inductance for each of these positions is computed to determine the ideal conditions for employing the wireless recharge tool for every charging application. A thorough mathematical analysis is also presented, and the findings clearly demonstrate the relationship between the magnet flux and the various external conditions employed in this investigation.

scholarly journals Improvement of wireless transmission system performance for EEG signals based on development of scalar quantization

2019 ◽  
Vol 4 (1) ◽  
pp. 62-72 ◽  
Author(s):  
Mohsen Habib Nezhad ◽  
Khazaimatol S. Subari ◽  
Mehran Yahyavi
Keyword(s):  
System Performance ◽  
Transmission System ◽  
Wireless Transmission ◽  
Transmission Range ◽  
Quantization Scheme ◽  
Quantization Method ◽  
Wireless System ◽  
Quantization Level ◽  
Uniform Quantization ◽  
Wireless Eeg

Abstract Advancement of wireless technology leads to some developments in current wireless electroencephalography. Through improving the transmission method of brainwaves, it would be possible to bring more convenience for the patients in need and give this opportunity to others for discovering other aspects of the amazing brainwave. What has been proposed in this study is a new type of adjustable backward quantization method which exploits the nature of the brainwave signal. This method is based on the nature of the captured brainwave and its quantization boundary changes based on the amplitude of each EEG captured signal. The proposed quantization scheme has been analyzed with uniform and Gaussian distribution of quantization level. Consequently, the Backward Gaussian Quantization with Adjustable Boundary and two Word Memories beside the Backward Uniform Quantization with Adjustable Boundary and two Word Memories are introduced by this experiment. In addition, the performance of wireless transmission system and the proposed quantizer’s efficiency for very low frequency (up to 100 Hz) and amplitude EEG signal have been noticed. With doing so, we simulated the transmitter and receiver by MATLAB® software. To model the medium, channel was assumed as Additive White Gaussian Noise (AWGN). Meanwhile analysis is done for the whole wireless system performance in terms of transmission range, compared with current available wireless transmission systems on the market. It should be noticed that the transmission range of the proposed wireless transmission system is compared to the transmission range of current wireless EEG systems when there is no obstacle between transmitter and receiver. Furthermore, some relevant parameters to evaluate the quality of the proposed quantization method were examined. To sum up, the proposed quantization schemes show considerable performance in terms of Quantization Rate for constant MSQE and SQNR in comparison with Uniform Quantization method and the achieved transmission range of our wireless system by using this method is higher than available wireless EEG systems on market.

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