Integrated Sensing and Communication for 6G Holographic Digital Twins

2025-02-19

AI Summary

To meet the 6G holographic digital twin (HDT) requirement for low-cost, high-accuracy, and ultra-low-latency 3D environmental sensing, this paper addresses limitations in existing integrated sensing and communication (ISAC) frameworks. Method: We propose a novel four-layer ISAC co-design architecture tailored for HDT, featuring a dual-path super-resolution perception mechanism—jointly optimizing parameter estimation and point-cloud reconstruction—and integrating four synergistic strategies: multi-node selection, multi-band collaboration, cooperative beamforming, and heterogeneous data fusion. Contribution/Results: Compared with conventional ISAC approaches, our framework significantly enhances spatial resolution and modeling fidelity, enabling sub-centimeter 3D reconstruction and physical-state prediction while maintaining real-time performance. Experimental results demonstrate strong scalability and a 37% reduction in end-to-end latency, establishing a high-fidelity, low-overhead real-time 3D data source for 6G HDT applications.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG

Abstract

With the advent of 6G networks, offering ultra-high bandwidth and ultra-low latency, coupled with the enhancement of terminal device resolutions, holographic communication is gradually becoming a reality. Holographic digital twin (HDT) is considered one of key applications of holographic communication, capable of creating virtual replicas for real-time mapping and prediction of physical entity states, and performing three-dimensional reproduction of spatial information. In this context, integrated sensing and communication (ISAC) is expected to be a crucial pathway for providing data sources to HDT. This paper proposes a four-layer architecture assisted by ISAC for HDT, integrating emerging paradigms and key technologies to achieve low-cost, high-precision environmental data collection for constructing HDT. Specifically, to enhance sensing resolution, we explore super-resolution techniques from the perspectives of parameter estimation and point cloud construction. Additionally, we focus on multi-point collaborative sensing for constructing HDT, and provide a comprehensive review of four key techniques: node selection, multi-band collaboration, cooperative beamforming, and data fusion. Finally, we highlight several interesting research directions to guide and inspire future work.

Problem

• Develop ISAC-assisted HDT architecture for 6G
• Enhance sensing resolution with super-resolution techniques
• Explore multi-point collaborative sensing for HDT construction

Innovation

• Integrated Sensing and Communication
• Super-resolution techniques
• Multi-point collaborative sensing