Sensing the Environment with 5G Scattered Signals (5G-CommSense): A Feasibility Analysis

TL;DR

This paper evaluates the feasibility of a 5G-based sensing system called 5G-CommSense, which uses 5G NR infrastructure and AI algorithms for environment sensing with low computational overhead.

Contribution

It introduces a novel 5G-CommSense system leveraging 5G NR channels and AI, demonstrating its practical feasibility through simulation.

Findings

System is practically feasible based on simulation results.

Uses 3GPP 5G NR channel models with added noise.

Shows effective environment sensing with low overhead.

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.