# Framework for a Perceptive Mobile Network using Joint Communication and Radar Sensing

## TL;DR

This paper introduces a unified framework for perceptive mobile networks that integrate radar sensing with communication, addressing challenges in parameter estimation amidst multipath and clutter using compressive sensing and background subtraction techniques.

## Contribution

It proposes a novel system platform combining communication and radar sensing, with new methods for multipath reduction and parameter estimation in mobile networks.

## Key findings

- Effective extraction of sensing parameters demonstrated in simulations.
- Proposed methods reduce multipath and clutter signals.
- Framework enables joint communication and sensing in mobile networks.

## Abstract

In this paper, we develop a framework for a novel perceptive mobile/cellular network that integrates radar sensing function into the mobile communication network. We propose a unified system platform that enables downlink and uplink sensing, sharing the same transmitted signals with communications. We aim to tackle the fundamental sensing parameter estimation problem in perceptive mobile networks, by addressing two key challenges associated with sophisticated mobile signals and rich multipath in mobile networks. To extract sensing parameters from orthogonal frequency division multiple access (OFDMA) and spatial division multiple access (SDMA) communication signals, we propose two approaches to formulate it to problems that can be solved by compressive sensing techniques. Most sensing algorithms have limits on the number of multipath signals for their inputs. To reduce the multipath signals, as well as removing unwanted clutter signals, we propose a background subtraction method based on simple recursive computation, and provide a closed-form expression for performance characterization. The effectiveness of these methods is validated in simulations.