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Integrated Sensing and Communication for 6G Holographic Digital Twins
Univ Sci & Technol, Beijing, Peoples R China.
Univ Sci & Technol, Beijing, Peoples R China.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0002-0094-8948
Univ Sci & Technol, Beijing, Peoples R China.
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2025 (English)In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 32, no 2, p. 104-112Article in journal (Refereed) Published
Abstract [en]

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 the 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 article 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, multiband collaboration, cooperative beamforming, and data fusion. Finally, we high-light several interesting research directions to guide and inspire future work.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. Vol. 32, no 2, p. 104-112
Keywords [en]
6G mobile communication, Point cloud compression, Reviews, Soft sensors, Superresolution, Collaboration, Integrated sensing and communication, Real-time systems, Digital twins, Spatial resolution
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-362981DOI: 10.1109/MWC.001.2400178ISI: 001456570300016Scopus ID: 2-s2.0-105003271007OAI: oai:DiVA.org:kth-362981DiVA, id: diva2:1956460
Note

QC 20250506

Available from: 2025-05-06 Created: 2025-05-06 Last updated: 2025-05-06Bibliographically approved

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Liu, Xiangnan

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