Target Localization with Macro and Micro Base Stations Cooperative Sensing

TL;DR

This paper proposes a novel cooperative sensing scheme combining macro and micro base stations for improved target localization in 6G, using symbol-level fusion and 3D Fourier transform algorithms.

Contribution

It introduces a new fusion method and a 3D-GDFT algorithm for cooperative sensing between macro and micro base stations in 6G systems.

Findings

Outperforms traditional single base station sensing schemes

Achieves precise localization with limited resources

Demonstrates superior sensing performance in simulations

Abstract

Addressing the communication and sensing demands of sixth-generation (6G) mobile communication system, integrated sensing and communication (ISAC) has garnered traction in academia and industry. With the sensing limitation of single base station (BS), multi-BS cooperative sensing is regarded as a promising solution. The coexistence and overlapped coverage of macro BS (MBS) and micro BS (MiBS) are common in the development of 6G, making the cooperative sensing between MBS and MiBS feasible. Since MBS and MiBS work in low and high frequency bands, respectively, the challenges of MBS and MiBS cooperative sensing lie in the fusion method of the sensing information in high and low-frequency bands. To this end, this paper introduces a symbol-level fusion method and a grid-based three-dimensional discrete Fourier transform (3D-GDFT) algorithm to achieve precise localization of multiple targets with limited resources. Simulation results demonstrate that the proposed MBS and MiBS cooperative sensing scheme outperforms traditional single BS (MBS/MiBS) sensing scheme, showcasing superior sensing performance