Towards Distributed and Intelligent Integrated Sensing and Communications for 6G Networks
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Abstract (arXiv)
This paper introduces the distributed and intelligent integrated sensing and communications (DISAC) concept, a transformative approach for 6G wireless networks that extends the emerging concept of integrated sensing and communications (ISAC). DISAC addresses the limitations of the existing ISAC models and, to overcome them, it introduces two novel foundational functionalities for both sensing and communications: a distributed architecture (enabling large-scale and energy-efficient tracking of connected users and objects, leveraging the fusion of heterogeneous sensors) and a semantic and goal-oriented framework (enabling the transition from classical data fusion to the composition of semantically selected information).
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Feb 2024.
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Citing papers per year: 2024: 1; 2025: 4.
5 papers.
- 2025Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networkscited by 7
- 2025Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combiningcited by 5
- 2025Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equationscited by 3
- 2025Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networkscited by 2
- 2024On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Descriptioncited by 1
- 2025Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networks23 Sep 2025
- 2025Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining17 Apr 2025
- 2025Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks31 Mar 2025
- 2025Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations18 Mar 2025
- 2024On the Detection of Non-Cooperative RISs: Scan B-Testing via Deep Support Vector Data Description5 Nov 2024