A Sensing-Based Cooperative Position Scheme for Perceptive Mobile Network towards 6G.

Integrated Sensing and Communication (ISAC) is a promising technology which will be the core of future 6G network. ISAC will integrate sensing capability into current communication-only mobile network, with the sharing and integration of transmit signals, time-frequency resources, major hardware and signal processing modules. The base-station-orientated sensing network, or also known as perceptive mobile network (PMN), will empower the base station to operate beyond communication and provide seamless sensing services. In this paper, we focus on extracting sensing parameters of multiple targets for accurate positioning in the PMN scenario. Specifically, we first implement Multiple Signal Classification (MUSIC) and Root-MUSIC for velocity and distance estimation, and compare their performances with OFDM-Radar method. Furthermore, based upon the sensing parameter estimation, we propose an integrated localization scheme that utilize both active and passive sensing signals. We also investigate the impact of resource allocation on positioning performance. The effectiveness of three sensing algorithms and proposed cooperative positioning method are verified using link-level simulation platform adopted from latest 3GPP standards.