Beam prediction and tracking mechanism with enhanced LSTM for mmWave aerial base station
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11276-024-03673-w.pdf
Reference32 articles.
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3. He, Q., Tan, S., Chen, F., Xu, X., Qi, L., Hei, X., Jin, H,. & Yang, Y. (2023). EDIndex: Enabling fast data queries in edge storage systems. In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 675–685). https://doi.org/10.1145/3539618.3591676
4. Qi, L., Yang, Y., Zhou, X., Rafique, W., & Ma, J. (2022). Fast Anomaly Identification Based on Multiaspect Data Streams for Intelligent Intrusion Detection Toward Secure Industry 4.0. IEEE Transactions on Industrial Informatics, 18(9), 6503–6511. https://doi.org/10.1109/TII.2021.3139363
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