Harris Hawks optimization based hybrid deep learning model for efficient network slicing in 5G network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03960-1.pdf
Reference29 articles.
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2. Dangi, R., Lalwani, P., Mishra, M.K.: 5g network traffic control: a temporal analysis and forecasting of cumulative network activity using machine learning and deep learning technologies. Int J Ad Hoc Ubiquitous Comput 42(1), 59–71 (2023)
3. Zhang, C., Ueng, Y.-L., Studer, C., Burg, A.: Artificial intelligence for 5g and beyond 5g: implementations, algorithms, and optimizations. IEEE J Emerg Selected Topics Circuits Syst 10(2), 149–163 (2020)
4. Dangi, R., Lalwani, P., Choudhary, G., You, I., Pau, G.: Study and investigation on 5g technology: a systematic review. Sensors 22(1), 26 (2021)
5. Hoeschele, T., Dietzel, C., Kopp, D., Fitzek, F.H., Reisslein, M.: Importance of internet exchange point (ixp) infrastructure for 5g: estimating the impact of 5g use cases. Telecommun Policy 45(3), 102091 (2021)
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