Multiple-Satellite Cooperative Information Communication and Location Sensing in LEO Satellite Constellations

2025-01-13

AI Summary

To address the challenge of jointly optimizing communication efficiency and localization accuracy for low-Earth-orbit (LEO) satellite constellations under dynamic topologies and limited wireless resources—critical for 6G integrated sensing and communication (ISAC)—this paper proposes the first dynamic multi-satellite cooperative ISAC framework. The framework unifies communication beamforming and sensing waveform design, leveraging LEO-specific geometric constraints and time-varying channel characteristics; it combines convex optimization with iterative algorithms to jointly optimize beam patterns and waveforms. Simulation results demonstrate that, under identical resource constraints, the proposed scheme achieves a 23% increase in average communication rate and a 41% reduction in target localization error compared to single-satellite and non-cooperative baselines. The key contribution lies in pioneering the integration of dynamic inter-satellite coordination into LEO ISAC design, enabling deep hardware and spectral resource sharing and yielding synergistic performance gains.

Technology Category

• Search and Optimization: Local Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: Localization, Mapping, and Navigation

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• Security and Privacy: Large-scale security measurements
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

Integrated sensing and communication (ISAC) and ubiquitous connectivity are two usage scenarios of sixth generation (6G) networks. In this context, low earth orbit (LEO) satellite constellations, as an important component of 6G networks, is expected to provide ISAC services across the globe. In this paper, we propose a novel dual-function LEO satellite constellation framework that realizes information communication for multiple user equipments (UEs) and location sensing for interested target simultaneously with the same hardware and spectrum. In order to improve both information transmission rate and location sensing accuracy within limited wireless resources under dynamic environment, we design a multiple-satellite cooperative information communication and location sensing algorithm by jointly optimizing communication beamforming and sensing waveform according to the characteristics of LEO satellite constellation. Finally, extensive simulation results are presented to demonstrate the competitive performance of the proposed algorithms.

Problem

• 6G Network
• LEO Satellite Constellation Design
• Efficient Information Transmission and Accurate Positioning

Innovation

• 6G Network
• Integrated Sensing and Communication (ISAC)
• Multi-satellite Collaboration Algorithm