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Integrated Sensing and Communications Framework for 6G Networks

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arxiv 2405.19925 v1 pith:QHENYXG4 submitted 2024-05-30 eess.SP

classification eess.SP
keywords dynamicstaticcommunicationsisacphysicalsensingtargetsworld
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In this paper, we propose a novel integrated sensing and communications (ISAC) framework for the sixth generation (6G) mobile networks, in which we decompose the real physical world into static environment, dynamic targets, and various object materials. The ubiquitous static environment occupies the vast majority of the physical world, for which we design static environment reconstruction (SER) scheme to obtain the layout and point cloud information of static buildings. The dynamic targets floating in static environments create the spatiotemporal transition of the physical world, for which we design comprehensive dynamic target sensing (DTS) scheme to detect, estimate, track, image and recognize the dynamic targets in real-time. The object materials enrich the electromagnetic laws of the physical world, for which we develop object material recognition (OMR) scheme to estimate the electromagnetic coefficient of the objects. Besides, to integrate these sensing functions into existing communications systems, we discuss the interference issues and corresponding solutions for ISAC cellular networks. Furthermore, we develop an ISAC hardware prototype platform that can reconstruct the environmental maps and sense the dynamic targets while maintaining communications services. With all these designs, the proposed ISAC framework can support multifarious emerging applications, such as digital twins, low altitude economy, internet of vehicles, marine management, deformation monitoring, etc.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Bistatic Sensing in 5G NR

    eess.SP 2025-05 conditional novelty 5.0 of 10

    A PUSCH-based bistatic 5G NR ISaC receiver with ML delay/Doppler estimation and CRLB analysis shows a tradeoff between sensing accuracy, DMRS count, and throughput.

  2. Interference Management for Integrated Sensing and Communications: A Multiple Access Perspective

    eess.SP 2025-09 conditional novelty 3.0 of 10

    A tutorial that classifies the five interference types in integrated sensing and communication (ISAC) and argues, with simulations, that RSMA outperforms OMA, SDMA, and NOMA in managing them.

  3. Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

    cs.NI 2024-12 conditional novelty 3.0 of 10

    This overview paper structures the convergence of AI and 6G into three stages and proposes a Quality of AI Service framework for measuring AI services in future networks.

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