Title
Millimeter-wave planar antennas for 5G-based remote monitoring and treatment of COVID-19 patients
Abstract
Spreading of COVID-19 intensely affected the social life, economics, and health care system globally. Remote treatment of COVID-19 is required to prevent healthcare professionals from being infected and solve the shortage of health resources which is generated due to large number of COVID patients. Tele-health services require low latency, high data rate connections between various sensors, and Internet of Things devices with reliable and uninterrupted networks, which can support massive number of devices. 5G-based remote health care solutions are provided by various researchers to solve the aforementioned problems. Various technologies such as millimeter-wave (mm-wave), beamforming, and multiple-input-multiple-output (MIMO) are used to fulfill the requirements. mm-Wave spectrum provides wide available bandwidth, high speed, low latency, and compact antenna size but range of communication is limited due to high link losses and environmental attenuation. High-gain, narrow beam-steerable radiation properties of antenna are required to mitigate these losses. This article first presents the design of 16 elements mm-Wave beam-steerable planar array for 5G-based COVID-19 tracking and health care management. The proposed antenna provides 1.83 GHz of bandwidth with gain of 19.3 dB and side-lobe levels of less than -24 dB at 28.67 GHz. Narrow main beam having 0.9 degrees beamwidth can be steered from -50 degrees to +45 degrees with less than 5 dB reduction in gain. MIMO configurations of the proposed antenna are also discussed. MIMO performance parameters are under acceptable limit. The proposed antenna is potential cost efficient solution for 5G-based COVID-19 tracking and treatment applications.
Year
DOI
Venue
2022
10.1002/ett.4426
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
DocType
Volume
Issue
Journal
33
4
ISSN
Citations 
PageRank 
2161-3915
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Tapan Nahar100.34
Sanyog Rawat200.34