# Framework for an Innovative Perceptive Mobile Network Using Joint Communication and Sensing

## TL;DR

This paper proposes a new perceptive mobile network framework that integrates sensing with communication, enabling applications in transportation, surveillance, and environmental monitoring, supported by novel sensing methods and a compressive sensing scheme.

## Contribution

It introduces a comprehensive framework for joint communication and sensing in mobile networks, with three sensing methods and a compressive sensing-based parameter estimation scheme.

## Key findings

- Feasibility demonstrated through simulations
- Effective sensing parameter estimation scheme developed
- Supports diverse applications in transportation and surveillance

## Abstract

In this paper, we develop a framework for an innovative perceptive mobile (i.e. cellular) network that integrates sensing with communication, and supports new applications widely in transportation, surveillance and environmental sensing. Three types of sensing methods implemented in the base-stations are proposed, using either uplink or downlink multiuser communication signals. The required changes to system hardware and major technical challenges are briefly discussed. We also demonstrate the feasibility of estimating sensing parameters via developing a compressive sensing based scheme and providing simulation results to validate its effectiveness.