Publication Type : Conference Paper
Publisher : IEEE
Source : 2024 7th International Conference on Contemporary Computing and Informatics (IC3I)
Url : https://doi.org/10.1109/ic3i61595.2024.10829323
Campus : Bengaluru
School : School of Computing
Department : Computer Science and Engineering
Year : 2024
Abstract :
The current generation of 5G technology has reached its limitations in terms of both frequency and wavelength. There is no room for further increasing the frequency, nor can we decrease the wavelength any further. In light of this challenge, alternative solutions for signal transmission must be explored. One such promising avenue is the utilization of Reconfigurable Intelligent Surfaces (RIS). RIS refers to a meta surface with the capability to dynamically alter its impedance, enabling efficient manipulation of signal reflection and steering. It holds significant potential for advancing beyond 5G towards the envisioned 6G era. This paper endeavours to delve into the behaviour of RIS through modelling, with a specific focus on its application in Remote Air Quality Monitoring
Cite this Research Publication : M Gurupriya, Rahul, B Karthikeyan, Dynamic Surface-enabled Air Quality Evaluation, 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), IEEE, 2024, https://doi.org/10.1109/ic3i61595.2024.10829323