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Electrical Engineering and Systems Science > Signal Processing

arXiv:2402.18271 (eess)
[Submitted on 28 Feb 2024]

Title:Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach

Authors:Emilio Calvanese Strinati, George C. Alexandropoulos, Madhusudan Giyyarpuram, Philippe Sehier, Sami Mekki, Vincenzo Sciancalepore, Maximilian Stark, Mohamed Sana, Benoit Denis, Maurizio Crozzoli, Navid Amani, Placido Mursia, Raffaele D Errico, Mauro Boldi, Francesca Costanzo, Francois Rivet, Henk Wymeerschx
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Abstract:This paper introduces the concept of Distributed Intelligent integrated Sensing and Communications (DISAC), which expands the capabilities of Integrated Sensing and Communications (ISAC) towards distributed architectures. Additionally, the DISAC framework integrates novel waveform design with new semantic and goal-oriented communication paradigms, enabling ISAC technologies to transition from traditional data fusion to the semantic composition of diverse sensed and shared information. This progress facilitates large-scale, energy-efficient support for high-precision spatial-temporal processing, optimizing ISAC resource utilization, and enabling effective multi-modal sensing performance. Addressing key challenges such as efficient data management and connect-compute resource utilization, 6G- DISAC stands to revolutionize applications in diverse sectors including transportation, healthcare, and industrial automation. Our study encapsulates the project vision, methodologies, and potential impact, marking a significant stride towards a more connected and intelligent world.
Comments: Submitted for conference publication
Subjects: Signal Processing (eess.SP); Information Theory (cs.IT)
Cite as: arXiv:2402.18271 [eess.SP]
  (or arXiv:2402.18271v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2402.18271

Submission history

From: Francesca Costanzo [view email]
[v1] Wed, 28 Feb 2024 12:00:48 UTC (8,047 KB)
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