Digital Twin-Empowered Communications: A New Frontier of Wireless Networks (2307.00973v1)
Abstract: The future of wireless network generations is revolving toward unlocking the opportunities offered by virtualization and digitization services, with the aim to realize improved quality-of-experience (QoE) and bring several advantages to network users. According to the rapid development in the field of network virtualization, we envision that future wireless networks will run over ubiquitous deployment of virtualized components that are controlled by AI, i.e., the conceptualization of the Digital Twin (DT) paradigm. The key principle of the DT relies on creating a holistic representation of wireless network elements, in addition to decoupling the information pertaining to physical objects and dynamics, into a cyber twin. The cyber twin will then leverage this information for AI models training, and then reasoning and decision-making operations, which will be then reflected to the physical environment, for improved sustainability. Motivated by this, in this article, we dig deep into the intertwined role of wireless technologies as being enablers and enabled by the DT. Furthermore, we put a forward-looking vision of the integral role that future 6G networks are anticipated to play in order to realize an efficient DT. Finally, we sketch the roadmap toward identifying the limitations of the DT in 6G-enabled wireless networks, and open new horizons for further developments in different design aspects.
- L. Bariah et al., “A prospective look: Key enabling technologies, applications and open research topics in 6G networks,” IEEE Access, vol. 8, pp. 174 792–174 820, 2020.
- Y. Wu et al., “Digital twin networks: A survey,” IEEE Internet Things J., vol. 8, no. 18, pp. 13 789–13 804, 2021.
- H. X. Nguyen et al., “Digital twin for 5G and beyond,” IEEE Commun. Mag., vol. 59, no. 2, pp. 10–15, 2021.
- F. Tang et al., “Survey on digital twin edge networks (DITEN) toward 6G,” IEEE Open Journal of the Communications Society, vol. 3, pp. 1360–1381, 2022.
- T. H. Luan et al., “The paradigm of digital twin communications,” arXiv preprint arXiv:2105.07182, 2021.
- L. U. Khan et al., “Digital-twin-enabled 6G: Vision, architectural trends, and future directions,” IEEE Commun. Mag., vol. 60, no. 1, pp. 74–80, 2022.
- ——, “Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities,” arXiv preprint arXiv:2202.02559, 2022.
- X. Lin et al., “6G digital twin networks: From theory to practice,” arXiv preprint arXiv:2212.02032, 2022.
- H. Ahmadi et al., “Networked twins and twins of networks: An overview on the relationship between digital twins and 6G,” IEEE Commun. Standards Magazine, vol. 5, no. 4, pp. 154–160, 2021.
- A. Fuller et al., “Digital twin: Enabling technologies, challenges and open research,” IEEE Access, vol. 8, pp. 108 952–108 971, 2020.
- D. Van Huynh et al., “Edge intelligence-based ultra-reliable and low-latency communications for digital twin-enabled metaverse,” IEEE Wireless Commun. Lett., 2022.
- Ericsson. Digitalized programmable physical world. [Online]. Available: https://www.ericsson.com/en/internet-of-things/programmable-world
- Z. Zhang et al., “Artificial intelligence-enabled sensing technologies in the 5G/internet of things era: From virtual reality/augmented reality to the digital twin,” Advanced Intelligent Systems, p. 2100228, 2022.
- Ericsson. Dzero-energy devices – a new opportunity in 6g. [Online]. Available: https://www.ericsson.com/en/blog/2021/9/zero-energy-devices-opportunity-6g
- M. Pengnoo et al., “Digital twin for metasurface reflector management in 6G terahertz communications,” IEEE Access, vol. 8, pp. 114 580–114 596, 2020.
- L. Zhao et al., “INTERLINK: A digital twin-assisted storage strategy for satellite-terrestrial networks,” IEEE Trans. Aerosp. Electron. Syst., 2022.
- Z. Lv et al., “Digital twins in unmanned aerial vehicles for rapid medical resource delivery in epidemics,” IEEE Trans. Intell. Transp. Syst., 2021.
- M. Sheraz et al., “Artificial intelligence for wireless caching: Schemes, performance, and challenges,” IEEE Commun. Surveys & Tuts., vol. 23, no. 1, pp. 631–661, 2020.
- F. Naeem et al., “Digital twin-empowered network slicing in B5G networks: Experience-driven approach,” in 2021 IEEE Globecom Workshops (GC Wkshps). IEEE, 2021, pp. 1–5.
- H. Wang et al., “A graph neural network-based digital twin for network slicing management,” IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 1367–1376, 2020.
- A. Fengler et al., “Massive MIMO unsourced random access,” arXiv preprint arXiv:1901.00828, 2019.
- C. Ruah et al., “Digital twin-based multiple access optimization and monitoring via model-driven bayesian learning,” arXiv preprint arXiv:2210.05582, 2022.
- J. Wang et al., “Semantic-aware sensing information transmission for metaverse: A contest theoretic approach,” IEEE Trans. Wireless Comm., 2023.
- M. Fresia et al., “Joint source and channel coding,” IEEE Signal Proc. Mag., vol. 27, no. 6, pp. 104–113, 2010.
- R. Lowe et al., “On the pitfalls of measuring emergent communication,” arXiv preprint arXiv:1903.05168, 2019.
- A. F. Demir et al., “Waveform design for 5G and beyond,” arXiv preprint arXiv:1902.05999, 2019.
- A. Affan et al., “Performance analysis of orbital angular momentum (OAM): A 6G waveform design,” IEEE Communications Letters, vol. 25, no. 12, pp. 3985–3989, 2021.
- T. Kailath, “A general likelihood-ratio formula for random signals in Gaussian noise,” IEEE Transactions on Information Theory, vol. 15, no. 3, pp. 350–361, 1969.
- D. Cozzolino et al., “High-dimensional quantum communication: benefits, progress, and future challenges,” Advanced Quantum Technologies, vol. 2, no. 12, p. 1900038, 2019.
- Lina Bariah (26 papers)
- Hikmet Sari (18 papers)
- Merouane Debbah (269 papers)