Comparison of Centralized and Federated Machine Learning Techniques for Beamtracking in 5G/6G Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60994-7_8
Reference17 articles.
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3. Duan, Q., Kim, T., Huang, H., Liu, K., Wang, G.: AoD and AoA tracking with directional sounding beam design for millimeter wave MIMO systems. In: 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 2271–2276 (2015). https://doi.org/10.1109/PIMRC.2015.7343676
4. Jiang, S., Alkhateeb, A.: Computer vision aided beam tracking in a real-world millimeter wave deployment. In: 2022 IEEE Globecom Workshops (GC Wkshps), pp. 142–147 (2022). https://doi.org/10.1109/GCWkshps56602.2022.10008648
5. Krunz, M., Aykin, I., Sarkar, S., Akgun, B.: Online reinforcement learning for beam tracking and rate adaptation in millimeter-wave systems. IEEE Trans. Mob. Comput. 1–16 (2023). https://doi.org/10.1109/TMC.2023.3243910
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