IRS assisted UAV communications for 6G networks: a systematic literature review
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11276-024-03798-y.pdf
Reference111 articles.
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3. Duong, T. Q., Nguyen, L. D., Bui, T. T., Pham, K. D., & Karagiannidis, G. K. (2023). Machine learning-aided real-time optimized multibeam for 6G integrated satellite-terrestrial networks: Global coverage for mobile services. IEEE Network, 37(2), 86–93.
4. Banafaa, M., Pepeoğlu, Ö., Shayea, I., Alhammadi, A., Shamsan, Z., Razaz, M. A., Alsagabi, M., & Al-Sowayan, S. (2024). A comprehensive survey on 5G-and-beyond networks with UAVs: Applications, emerging technologies, regulatory aspects, research trends and challenges. IEEE Access, 12, 7786–7826.
5. Rovira-Sugranes, A., Razi, A., Afghah, F., & Chakareski, J. (2022). A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook. Ad Hoc Networks, 130, 102790.
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