A Framework for Analyzing 4G/LTE-A Real Data Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

A Framework for Analyzing 4G/LTE-A Real Data Using Machine Learning Algorithms

Published:2020-09-20 Issue: Volume: Page:826-838
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Mohammed Nihal H.,Nashaat Heba,Abdel-Mageid Salah M.,Rizk Rawia Y.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-58669-0_73

Reference19 articles.

1. Nashaat, H., Rizk, R.: Handover management based on location based services in F-HMIPv6 networks. KSII Trans. Internet Inf. Syst. (TIIS) 15(4), 192–209 (2018)

2. Rizk, R., Nashaat, H.: Smart prediction for seamless mobility in F-HMIPv6 based on location based services. China Commun. 15(4), 192–209 (2018)

3. Nashaat, H.: QoS-aware cross layer handover scheme for high-speed vehicles. KSII Trans. Internet Inf. Syst. (TIIS) 12(1), 135–158 (2018)

4. Kukliński, S., Tomaszewski, L.: Key performance indicators for 5G network slicing. In: 2019 IEEE Conference on Network Softwarization (NetSoft), Paris, France, pp. 464–471 (2019)

5. Salo, J., Eduardo Zacarías, B.: Analysis of LTE radio load and user throughput. Int. J. Comput. Netw. Commun. (IJCNC) 9(6), 33–45 (2017)

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