scholarly journals THROUGHPUT INCREASE IN THE OFFICE LI-FI SYSTEM

Author(s):  
Oleksandr Romanov ◽  
Gleb Miklaiv

Background. Wi-Fi has many disadvantages, such as how the maximum bandwidth is limited by the frequency of the range. The work uses Li-Fi technology, which uses visible light for data transmission. The frequency range of Li-Fi is 1000 times greater than the entire radio range. Feedback is used to increase the throughput. But the feedback decreases the bandwidth of the downstream signal. Objective. The purpose of the paper is to analyse what parameters are advisable to change to increase the throughput of the Li-Fi system. Methods. Study of the simulated dependence of the optimal interval change for using the feedback, and using this interval plot the dependence of the throughput on the change in the parameters of the Li-Fi system with a mobile user. Results. With an increase in the area of the photodiode and its refractive index, the throughput increases. As the receiver speed increases, the throughput decreases slightly <0.1%. Reducing the angle of the photodiode field of view and the half-angle of radiation significantly increases the throughput (by 50%) only when decreasing to small angles (<10 °). Conclusions. It is advisable to make photodiode from a material with a high refractive index, with a big area. Since mobile devices are often used in the office Li-Fi network, it is not advisable to reduce the receiver's viewing angle, as well as to reduce the half-angle of radiation. It may also be beneficial to give mobile users more download throughput than upload throughput.

2011 ◽  
Vol 50 (7) ◽  
pp. B71 ◽  
Author(s):  
Jae-Young Jang ◽  
Ho-Sang Lee ◽  
Sungdo Cha ◽  
Seung-Ho Shin

Author(s):  
B. R. Dantal ◽  
A. Saigal ◽  
M. A. Zimmerman

During the past decade, the preparation of inorganic/organic hybrid materials with high refractive index has attracted considerable attention. In particular, TiO2 (Titanium dioxide or Titania), as inorganic domains, have been incorporated into a polymer matrix to produce high refractive index hybrid materials [1–3]. Polarization of injection molded liquid crystal polymer/Titania composite parts have been investigated in the broad band millimeter wave frequency range. The measurements have been performed by using two different spectroscopy techniques. First, free space quasi optical millimeter wave spectrometer, equipped with a high power source coherent radiation tunable in the 40–90 GHz frequency range is used. Second, low power dispersive Fourier transform spectrometer has been used for higher frequencies in the range of 100–600 GHz. Dielectric properties of liquid crystal polymer/Titania composites have been determined in the broad band millimeter wave frequency range. A correlation between dielectric properties and dispersed Titania weight percent has been observed using the two spectroscopy techniques. It is found that the absorption coefficient and loss tangent is a strong function of the output power of the sources of the incident radiation. On the other hand, refractive index and real permittivity values measured from both spectroscopy techniques are similar. In addition, it has been found that transmittance level and absorption losses depend on the orientation of the samples with respect to the orientation of electric and magnetic fields in the incident electro-magnetic wave. Finally, the polarization of the parts varies with the direction of flow of the molten plastic into the cavity.


2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>


2013 ◽  
Vol 28 (6) ◽  
pp. 671-676 ◽  
Author(s):  
Yu-Qing ZHANG ◽  
Li-Li ZHAO ◽  
Shi-Long XU ◽  
Chao ZHANG ◽  
Xiao-Ying CHEN ◽  
...  

2013 ◽  
Vol 52 (25) ◽  
pp. 6364 ◽  
Author(s):  
Lin’an Li ◽  
Wei Song ◽  
Zhiyong Wang ◽  
Shibin Wang ◽  
Mingxia He ◽  
...  

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