Effective Resource Allocation in Network Slicing Using Artificial Intelligence-Reference-Cited by-同舟云学术

Effective Resource Allocation in Network Slicing Using Artificial Intelligence

Published:2022 Issue: Volume: Page:469-481
ISSN:2367-3370
Container-title:Proceedings of International Conference on Recent Trends in Computing
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Author:

Svara Anushka,Jayaraman Ramkumar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7118-0_40

Reference27 articles.

1. Kafle VP, Fukushima Y, Martinez-Julia P, Miyazawa T (2018) Consideration on automation of 5G network slicing with machine learning. In: 2018 ITU Kaleidoscope: machine learning for a 5G future (ITU K), Santa Fe, Argentina, pp 1–8. https://doi.org/10.23919/ITU-WT.2018.8597639

2. Ji H, Park S, Yeo J, Kim Y, Lee J, Shim B (2018) Ultra-reliable and low-latency communications in 5G downlink: physical layer aspects. IEEE Wireless Commun 25(3):124–130. https://doi.org/10.1109/MWC.2018.1700294

3. Abbas K, Afaq M, Ahmed Khan T, Rafiq A, Song W-C (2020) Slicing the core network and radio access network domains through intent-based networking for 5G networks. Electronics 9(10):1710. https://doi.org/10.3390/electronics9101710

4. Hedman P (2016) Description of network slicing concept. Next Gener Mob Netw Alliance. https://www.ngmn.org/publications/description-of-network-slicing-concept.html

5. Guo T, Suárez A (2019) Enabling 5G RAN slicing with EDF slice scheduling. IEEE Trans Veh Technol 68(3):2865–2877. https://doi.org/10.1109/TVT.2019.2894695

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