Last Mile Technique for Wireless Delivery System using an Accelerating Lens - volodymyr-sokolov/publications GitHub Wiki

Conference Paper

Volodymyr Astapenya , Volodymyr Buriachok , Volodymyr Sokolov , Pavlo Skladannyi , Dmytro Ageyev

Abstract

The paper discusses possible ways to solve the problem of user device access outside the coverage area of a Wi-Fi router. Based on theoretical and several experimental studies carried out by the authors, it is proposed to use an accelerating metal-plate lens as a means for solving this problem, which can complement both the antenna of the router and the antenna of the user terminal. This does not require structural changes to the standard equipment. The results of experimental studies of the influence of the lens on the channel capacity, on the distribution (structure) of the field in the horizontal and vertical planes, the polarization of the wave at the receiving point, and also on the spectral characteristics of the signal are presented. The features of using the accelerating lens in the MIMO system are investigated. The experiments were carried out at a frequency of 2.4 GHz using specially designed hardware and software. Recommendations for using the lens in some typical situations (office, smart home, etc.) are given.

https://ieeexplore.ieee.org/document/9467886 | 10.1109/PICST51311.2020.9467886

Keywords

accelerating lens; access point; antenna; field distribution; frequency properties; metal-plate lens; MIMO; phase velocity; polarization; router; wireless network

SciVal Topics

Neural Network; Wireless Sensor Network; Quality of Service


Publisher

2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T)

6–9 October 2020 Kharkiv, Ukraine

First Online: 2 July 2021


Indices

  • INSPEC: 20778117

  • KUBG: 37096


Cite

CEUR-WS

V. Astapenya, et al., Last Mile Technique for Wireless Delivery System using an Accelerating Lens, in: IEEE 7th International Conference on Problems of Infocommunications. Science and Technology (2020) 811–814. doi: 10.1109/picst51311.2020.9467886.

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