多用户设备网络感知：6G感知移动网络的新范式
Multi-UE Networked Sensing: A New Paradigm for 6G Perceptive Mobile Networks
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中文总结 AI 辅助
该研究提出面向6G感知移动网络的多UE网络感知新范式，设计了多类感知架构与多视图信号处理框架，探讨了相关关键开放挑战。
中文摘要 AI 辅助
网络感知可联合利用多个分布式节点的观测结果，是释放集成感知与通信（ISAC）全部感知潜力的关键。本文提出多UE感知，这是面向未来感知移动网络的新型网络感知范式，利用分布式用户设备（UE）与共同目标交互时自然产生的相关感知观测结果。文中给出了代表性的上行链路、下行链路及混合感知架构，以及涵盖同步、相关感知参数估计和感知融合的多视图信号处理框架，还讨论了相关建模、目标关联、感知信息压缩及通信-感知协同优化等关键开放挑战。
英文摘要
Networked sensing, which jointly exploits observations from multiple distributed nodes, is essential for unlocking the full sensing potential of integrated sensing and communications (ISAC). This article introduces multi-UE sensing, a new networked sensing paradigm for future perceptive mobile networks that exploits the correlated sensing observations naturally arising from distributed user equipment devices (UEs) interacting with common targets. Representative uplink, downlink, and hybrid sensing architectures are presented, together with a multi-view signal processing framework encompassing synchronization, correlation-aware parameter estimation, and sensing fusion. Key open challenges, including correlation modelling, target association, sensing information compression, and communication-sensing co-optimization, are also discussed.
