Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866929258612391936 |
|---|---|
| author | Strinati, Emilio Calvanese Alexandropoulos, George C. Giyyarpuram, Madhusudan Sehier, Philippe Mekki, Sami Sciancalepore, Vincenzo Stark, Maximilian Sana, Mohamed Denis, Benoit Crozzoli, Maurizio Amani, Navid Mursia, Placido Errico, Raffaele D Boldi, Mauro Costanzo, Francesca Rivet, Francois Wymeerschx, Henk |
| author_facet | Strinati, Emilio Calvanese Alexandropoulos, George C. Giyyarpuram, Madhusudan Sehier, Philippe Mekki, Sami Sciancalepore, Vincenzo Stark, Maximilian Sana, Mohamed Denis, Benoit Crozzoli, Maurizio Amani, Navid Mursia, Placido Errico, Raffaele D Boldi, Mauro Costanzo, Francesca Rivet, Francois Wymeerschx, Henk |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_18271 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach Strinati, Emilio Calvanese Alexandropoulos, George C. Giyyarpuram, Madhusudan Sehier, Philippe Mekki, Sami Sciancalepore, Vincenzo Stark, Maximilian Sana, Mohamed Denis, Benoit Crozzoli, Maurizio Amani, Navid Mursia, Placido Errico, Raffaele D Boldi, Mauro Costanzo, Francesca Rivet, Francois Wymeerschx, Henk Signal Processing Information Theory 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. |
| title | Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2402.18271 |