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Digital Twin Networks for 6G Wireless Systems: Architecture, Enabling Technologies, Intelligent Control, and Open Challenges — arXiv:2608.12267

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.12267
License (as archived): CC0-1.0
Archived: 2026-10-19T06:06:28.165Z
SHA-256 of the archived text: fc26f820f7e6e00ba23b188e7ac87d05d86e3ff5c745fcc0c047efdb70d70ece
Stable URL of this page: https://metraipolis.com/documento/dc_eacf0eeea4cd

How to cite

Digital Twin Networks for 6G Wireless Systems: Architecture, Enabling Technologies, Intelligent Control, and Open Challenges — arXiv:2608.12267 — arXiv (en), https://arxiv.org/abs/2608.12267 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_eacf0eeea4cd (Metraipolis archive dc_eacf0eeea4cd, sha256 fc26f820f7e6e00ba23b188e7ac87d05d86e3ff5c745fcc0c047efdb70d70ece)

BibTeX

@misc{dceacf0eeea4cd,
  title = {Digital Twin Networks for 6G Wireless Systems: Architecture, Enabling Technologies, Intelligent Control, and Open Challenges — arXiv:2608.12267},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.12267},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_eacf0eeea4cd; sha256 fc26f820f7e6e00ba23b188e7ac87d05d86e3ff5c745fcc0c047efdb70d70ece},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.12267. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The transition to the Sixth Generation (6G) of mobile networks requires proactive and deterministic orchestration to satisfy the stringent key performance indicators of future services, including ultra-reliable low-latency communications, enhanced mobile broadband, and massive machine-type communications. Digital Twin Networks (DTN) have recently emerged as a foundational technology to meet these demands, offering real-time and high-fidelity virtual replicas of the physical network. Although the current literature explores DTNs conceptually, a gap exists in the coverage of technical classification and computational feasibility evaluations. This survey addresses this gap by formally categorizing state-of-the-art DTN architectures into passive monitoring twins and active control twins. We provide an in-depth evaluation of their underlying enabling technologies, specifically ray-tracing, reconfigurable intelligent surfaces, artificial intelligence, and mobile edge computing. Importantly, this paper conducts a detailed mathematical and computational complexity analysis of state-of-the-art solutions to assess hardware scalability and inference bottlenecks. These architectures are then linked to various forthcoming 6G use cases, including smart cities, Industry 5.0, healthcare, and smart grids. Finally, we synthesize crucial unresolved challenges, highlighting graphics processing unit hardware limitations, cyber-physical actuation latency, and the need for a zero-trust security paradigm, offering strategic research directions to realize the unified internet of everything.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-08-13 in eess.SY).
Categorie arXiv: Systems and Control (eess.SY).
Pagina del lavoro: https://arxiv.org/abs/2608.12267 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T05:56:09.572Z dalla pagina https://arxiv.org/catchup/eess.SY/2026-08-13?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).