@inproceedings{799c2df295374f6a809280b16267a412,
title = "Sensing the Environment with 5G Scattered Signals (5G-CommSense): A Feasibility Analysis",
abstract = "By making use of the sensors and AI (SensAI) algorithms for a specialized task, Application Specific INstrumentation (ASIN) framework uses less computational overhead and gives a good performance. This work evaluates the feasibility of the ASIN framework dependent Communication based Sensing (CommSense) system using 5th Generation New Radio (5G NR) infrastructure. Since our proposed system is backed up by 5G NR infra, this system is termed as 5G-CommSense. In this paper, we have used NR channel models specified by the 3rd Generation Partnership Project (3GPP) and added white Gaussian noise (AWGN) to vary the signal to noise ratio at the receiver. Finally, from our simulation result, we conclude that the proposed system is practically feasible.",
keywords = "5G New Radio, ASIN, Cluster Delay Line, CommSense, Tapped Delay Line",
author = "Sandip Jana and Mishra, {Amit Kumar} and Khan, {Mohammed Zafar Ali}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Applied Sensing Conference, APSCON 2023 ; Conference date: 23-01-2023 Through 25-01-2023",
year = "2023",
month = apr,
day = "17",
doi = "10.1109/APSCON56343.2023.10101090",
language = "English",
series = "APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings",
publisher = "IEEE Press",
booktitle = "APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings",
address = "United States of America",
}