AI-native 6G Networks: Integrating Machine Learning, Intelligent Antennas, and LEO Satellite Constellations
Keywords:
Artificial Intelligence (AI), Low Earth Orbit (LEO) satellites, Machine Learning (ML), Non-Terrestrial Networks (NTNs), 6G networksAbstract
The telecommunications industry is undergoing a significant transformation driven by Sixth-Generation (6G) wireless networks, characterized by deep integration of Artificial Intelligence (AI) and Low Earth Orbit (LEO) satellite constellations. This research systematically explores emerging trends, technical challenges, and strategic implications associated with converging terrestrial and satellite-based Non-Terrestrial Networks (NTNs) in 6G architectures. Utilizing an analytical approach, the study synthesizes insights from extensive academic literature, industry reports, and documentation of telecommunications standards. Central to this analysis is the exploration of AI-driven innovations, including Radio Access Network (RAN) automation, intelligent anomaly detection, edge computing, and dynamic energy management, which are anticipated to significantly enhance network efficiency, reliability, and responsiveness. Additionally, the paper addresses advanced spectrum management techniques essential for leveraging higher frequency bands, such as Sub-Terahertz (Sub-THz) and Terahertz (THz), necessary to meet the exponential data rate demands of future wireless services. The critical role of sophisticated antenna technologies including reconfigurable intelligent surfaces (RISs) and ultra-massive Multiple-Input Multiple-Output (MIMO) arrays is also emphasized, highlighting their potential to resolve signal propagation challenges at extreme frequencies. Furthermore, the research highlights the transition from an Internet of Things (IoT) to an Internet of Intelligence (IoI), illustrating broader societal implications and underscoring the necessity for adaptable, intelligent network infrastructure. Ultimately, this study provides comprehensive insights into the complex technological landscape of AI-native, satellite-enhanced 6G networks, offering valuable guidance to researchers, industry practitioners, engineers, and policymakers involved in advancing next-generation wireless communication systems.
References
L. Zhang, Y.-C. Liang, and D. Niyato, “6G visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence,” China Commun., vol. 16, no. 8, pp. 1–14, Aug. 2019, doi: https://doi.org/10.23919/jcc.2019.08.001
J. Ding, M. Nemati, C. Ranaweera, and J. Choi, “IoT connectivity technologies and applications: A survey,” IEEE Access, vol. 8, pp. 67646–67673, 2020, doi: https://doi.org/10.1109/access.2020.2985932
3GPP, “Non-terrestrial networks,” Available: https://www.3gpp.org/technologies/ntn-overview
R. Li et al., “Intelligent 5G: When cellular networks meet artificial intelligence,” IEEE Wireless Commun., vol. 24, no. 5, pp. 175–183, Oct. 2017, doi: https://doi.org/10.1109/MWC.2017.1600304WC
G. Zhu, D. Liu, Y. Du, C. You, J. Zhang, and K. Huang, “Toward an intelligent edge: Wireless communication meets machine learning,” IEEE Commun. Mag., vol. 58, no. 1, pp. 19–25, Jan. 2020, doi: https://doi.org/10.1109/MCOM.001.1900103
M. Giordani, M. Polese, M. Mezzavilla, S. Rangan, and M. Zorzi, “Toward 6G networks: Use cases and technologies,” IEEE Commun. Mag., vol. 58, no. 3, pp. 55–61, Mar. 2020, doi: https://doi.org/10.1109/MCOM.001.1900411
W. Jiang, B. Han, M. A. Habibi, and H. D. Schotten, “The road towards 6G: A comprehensive survey,” IEEE Open J. Commun. Soc., vol. 2, pp. 334–366, 2021, doi: https://doi.org/10.1109/OJCOMS.2021.3057679
D. Soldani, “6G fundamentals: Vision and enabling technologies,” J. Telecommun. Digit. Econ., vol. 9, no. 3, Aug. 2021, doi: https://doi.org/10.18080/jtde.v9n3.418
O. L. A. López, H. Alves, R. D. Souza, S. Montejo-Sánchez, E. M. G. Fernández, and M. Latva-Aho, “Massive wireless energy transfer: Enabling sustainable IoT toward 6G era,” IEEE Internet Things J., vol. 8, no. 11, pp. 8816–8835, Jun. 2021, doi: https://doi.org/10.1109/JIOT.2021.3050612
X. You et al., “Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts,” Sci. China Inf. Sci., vol. 64, no. 1, Nov. 2020, doi: https://doi.org/10.1007/s11432-020-2955-6
K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y.-J. A. Zhang, “The roadmap to 6G: AI empowered wireless networks,” IEEE Commun. Mag., vol. 57, no. 8, pp. 84–90, Aug. 2019, doi: https://doi.org/10.1109/MCOM.2019.1900271
M. Giordani and M. Zorzi, “Satellite communication at millimeter waves: A key enabler of the 6G era,” in Proc. 2020 Int. Conf. Comput., Netw. Commun. (ICNC), Big Island, HI, USA, 2020, pp. 383–388, doi: https://doi.org/10.1109/ICNC47757.2020.9049651
J. Liu, Y. Shi, Z. M. Fadlullah, and N. Kato, “Space-air-ground integrated network: A survey,” IEEE Commun. Surveys Tuts., vol. 20, no. 4, pp. 2714–2741, 4th Quart., 2018, doi: https://doi.org/10.1109/COMST.2018.2841996
3GPP, “Solutions for NR to support non-terrestrial networks (NTN) (Release 16),” Technical Report 38.821, V16.0.0, Dec. 2019. Available: https://atisorg.s3.amazonaws.com/archive/3gpp-documents/Rel16/ATIS.3GPP.38.821.V1600.pdf
E. Juan, M. Lauridsen, J. Wigard, and P. E. Mogensen, “5G new radio mobility performance in LEO-based non-terrestrial networks,” in Proc. 2020 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2020, pp. 1–6, doi: https://doi.org/10.1109/GCWkshps50303.2020.9367419
K. Liolis et al., “Use cases and scenarios of 5G integrated satellite‐terrestrial networks for enhanced mobile broadband: The SaT5G approach,” Int. J. Satell. Commun. Netw., vol. 37, no. 2, pp. 91–112, May 2018, doi: https://doi.org/10.1002/sat.1245
W. Wu et al., “AI-native network slicing for 6G networks,” IEEE Wireless Commun., vol. 29, no. 1, pp. 96–103, Feb. 2022, doi: https://doi.org/10.1109/MWC.001.2100338
Q.-A. Zeng and D. P. Agrawal, “Performance analysis of a handoff scheme in integrated voice/data wireless networks,” in Proc. IEEE VTS Fall Veh. Technol. Conf. (VTC), vol. 4, 2000, pp. 1986–1992, doi: https://doi.org/10.1109/vetecf.2000.886160
P. Chowdhury, M. Atiquzzaman, and W. Ivancic, “Handover schemes in satellite networks: State-of-the-art and future research directions,” IEEE Commun. Surveys Tuts., vol. 8, no. 4, pp. 2–14, 2006, doi: https://doi.org/10.1109/comst.2006.283818
H. Xie, Y. Zhan, G. Zeng, and X. Pan, “LEO mega-constellations for 6G global coverage: Challenges and opportunities,” IEEE Access, vol. 9, pp. 164223–164244, 2021, doi: https://doi.org/10.1109/ACCESS.2021.3133301
D. B. da Costa and H.-C. Yang, “Grand challenges in wireless communications,” Front. Commun. Netw., vol. 1, Jul. 2020, doi: https://doi.org/10.3389/frcmn.2020.00001
V.-L. Nguyen, P.-C. Lin, B.-C. Cheng, R.-H. Hwang, and Y.-D. Lin, "Security and privacy for 6G: A survey on prospective technologies and challenges," IEEE Commun. Surveys Tuts., pp. 1–1, 2021, doi: https://doi.org/10.1109/comst.2021.3108618
H. Ronkainen, J. Edstam, A. Ericsson, and C. Östberg, "Integrated access and backhaul: A new type of wireless backhaul in 5G," Front. Commun. Netw., vol. 2, Apr. 2021, doi: https://doi.org/10.3389/frcmn.2021.636949
H. Sarieddeen, N. Saeed, T. Y. Al-Naffouri, and M.-S. Alouini, “Next generation terahertz communications: A rendezvous of sensing, imaging, and localization,” IEEE Communications Magazine, vol. 58, no. 5, pp. 69–75, May 2020, doi: https://doi.org/10.1109/MCOM.001.1900698
W. Tong and P. Zhu, Eds., 6G: The Next Horizon – From Connected People and Things to Connected Intelligence. Cambridge, UK: Cambridge University Press, 2022. Available: https://assets.cambridge.org/97811088/39327/frontmatter/9781108839327_frontmatter.pdf
R. Dilli, “Design and feasibility verification of 6G wireless communication systems with state of the art technologies,” International Journal of Wireless Information Networks, vol. 29, no. 1, pp. 93–117, Mar. 2022, doi: //doi.org/10.1007/s10776-021-00546-3
P. K. Padhi and F. Charrua-Santos, “6G enabled industrial internet of everything: Towards a theoretical framework,” Applied System Innovation, vol. 4, no. 1, p. 11, Feb. 2021, doi: //doi.org/10.3390/asi4010011
Y. Ai, M. Peng, and K. Zhang, “Edge computing technologies for internet of things: A primer,” Digital Communications and Networks, vol. 4, no. 2, pp. 77–86, Apr. 2018, doi: //doi.org/10.1016/j.dcan.2017.07.001
M. Di Renzo et al., “Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come,” EURASIP Journal on Wireless Communications and Networking, vol. 2019, no. 1, May 2019, doi://doi.org/10.1186/s13638-019-1438-9
