Generative artificial intelligence for integrated sensing and communication in 6G
dc.authorid | Calhan, Ali/0000-0002-5798-3103 | |
dc.authorid | Leblebici, Merih/0000-0002-7709-2906; | |
dc.contributor.author | Leblebici, Merih | |
dc.contributor.author | Calhan, Ali | |
dc.date.accessioned | 2025-10-11T20:48:35Z | |
dc.date.available | 2025-10-11T20:48:35Z | |
dc.date.issued | 2025 | |
dc.department | Düzce Üniversitesi | en_US |
dc.description.abstract | The advent of sixth generation (6G) networks is poised to redefine wireless communication, promising unprecedented data rates, ultra-low latency, and transformative applications such as holographic communications and real-time digital twins. These advancements hinge on key enabling technologies, including terahertz communication, intelligent reflecting surfaces, and the integration of artificial intelligence (AI). Generative AI (GAI) emerges as a cornerstone of 6G, offering capabilities to overcome challenges such as data scarcity, network optimization, and personalized user experiences. Similarly, integrated sensing and communication (ISAC) stands as a pivotal innovation, merging communication and environmental sensing within a unified system, thereby enhancing spectrum efficiency and operational versatility. This paper examines the convergence of GAI and ISAC as foundational components of 6G. While much of the existing literature focuses on the physical layer, this study also highlights the untapped potential and challenges within the data link and network layers, presenting a comprehensive perspective on the transformative role of GAI and ISAC in next-generation networks. | en_US |
dc.identifier.doi | 10.1016/j.comnet.2025.111573 | |
dc.identifier.issn | 1389-1286 | |
dc.identifier.issn | 1872-7069 | |
dc.identifier.scopus | 2-s2.0-105011953458 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.comnet.2025.111573 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/22004 | |
dc.identifier.volume | 270 | en_US |
dc.identifier.wos | WOS:001543786400001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Computer Networks | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | KA_WOS_20250911 | |
dc.subject | 6G mobile communication | en_US |
dc.subject | Data link layer | en_US |
dc.subject | Generative AI | en_US |
dc.subject | ISAC | en_US |
dc.subject | Network layer | en_US |
dc.subject | Physical layer | en_US |
dc.title | Generative artificial intelligence for integrated sensing and communication in 6G | en_US |
dc.type | Article | en_US |