Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/695
Title: Performance of a 5G MIMO Antenna for Detecting Damaged Lungs of Pneumonia Patients Related to Covid-19
Authors: Afrin Binte Anwar, Rima Islam, Debalina Mollik, Prodip Kumar Saha Purnendu, Raja Rashidul Hasan, Md. Abdur Rahman, Md. Anwar Hossain
Keywords: Directivity, Gain, 5G, Lung- phantom, MIMO, SAR, S-parameter.
Issue Date: 1-Jul-2021
Publisher: International Journal of Scientific & Engineering Research
Abstract: Currently, world is facing COVID-19 pandemic where a huge number of people gets affected each day and dies. Various symptoms are visible in a COVID-19 affected patient. One of them is short and long-term effect on lung. Hence, in this situation conventionally people are using X-ray to detect lung affection. In this paper, the proposed antenna will help in faster detection of pneumonia affected lung due to COVID-19. In this paper, the proposed model inset fed multiple-input-multiple-output (MIMO) Microstrip patch antenna with a small size of mm is proposed for 38 GHz (Ka-band) which is in 5G frequency bands. The dimension of antenna is 3.561mm*2.449mm* 0.254mm and the main substrate of Rogers RT 5880 and a superstate of polyimide film. The antenna is placed on both normal lung phantom and affected lung phantom. Simulation results of S11, Directivity and SAR shows comparatively better values. Eventually, it can be said that the antenna has the potentiality to help in detection of affected lung.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/695
ISSN: 2229-5518
Appears in Collections:Publications From Faculty of Engineering

Files in This Item:
File Description SizeFormat 
J_2.docx2.93 MBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.