Multistatic Integrated Sensing and Communication System in Cellular Networks

TL;DR

This paper proposes a multistatic MIMO ISAC system in cellular networks that leverages existing base stations for cooperative wide-area sensing, enhancing position and velocity estimation accuracy for 5G and 6G networks.

Contribution

It introduces a novel multistatic MIMO ISAC system utilizing cooperative base stations and a joint data processing method for accurate object parameter estimation.

Findings

Improved position and velocity estimation accuracy over monostatic and bistatic systems.

Effective use of existing cellular infrastructure for sensing functions.

Potential for implementation in 5G-A and 6G networks.

Abstract

A novel multistatic multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system in cellular networks is proposed. It can make use of widespread base stations (BSs) to perform cooperative sensing in wide area. This system is important since the deployment of sensing function can be achieved based on the existing mobile communication networks at a low cost. In this system, orthogonal frequency division multiplexing (OFDM) signals transmitted from the central BS are received and processed by each of the neighboring BSs to estimate sensing object parameters. A joint data processing method is then introduced to derive the closed-form solution of objects position and velocity. Numerical simulation shows that the proposed multistatic system can improve the position and velocity estimation accuracy compared with monostatic and bistatic system, demonstrating the effectiveness and promise of implementing ISAC in the upcoming fifth generation advanced (5G-A) and sixth generation (6G) mobile networks.