Toward Programmability of Radio Resource Control Based on O-RAN
Author:
Affiliation:
1. Todor Kableshkov University of Transport , Geo Milev St., 158, 1113 Sofia , Bulgaria
2. Technical University of Sofia , St. Kliment Ohridski blvd, 8, 1756 Sofia , Bulgaria
Abstract
Publisher
Walter de Gruyter GmbH
Subject
General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/cait-2022-0034
Reference23 articles.
1. 1. Nikman, S., et al. Intelligent O-RAN for Beyond 5G and 6G Wireless Networks. – Signal Processing (eess.SP); Machine Learning (cs.LG), 2020, pp.1-7.
2. 2. Abualhaj, M. M., M. M. Al-Tahrawi, A. H. Hussein, S. N. Al-Khatib. Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators. – Cybernetics and Information Technologies, Vol. 21, 2021, No 2, pp. 29-44.10.2478/cait-2021-0017
3. 3. Munusamy, N., S. Vijayan, M. Ezhilarasi. Role of Clustering, Routing Protocols. MAC Protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective. – Cybernetics and Information Technologies, Vol. 21, 2021, No 2, pp. 136-165.10.2478/cait-2021-0024
4. 4. Park, S. -H., S. Jeong, J. Na, O. Simeone, S. Shamai. Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency. – IEEE Transactions on Signal and Information Processing over Networks, Vol. 7, 2021, pp. 259-274.10.1109/TSIPN.2021.3070712
5. 5. Gavrilovska, L., V. Rakovic, D. Denkovski. From Cloud RAN to Open RAN. – Wireless Personal Communications, Vol. 113, 2020, pp. 1523-1539.10.1007/s11277-020-07231-3
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