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A Novel Algorithm for Optimization of Mobile Network Performance with Self-Organized Network

Eman Serag El Din1 and Mahammad A. Safwat2
1. Canadain International Collage Cairo, Egypt
2. National Telecommunication Institute, Cairo, Egypt

Abstract—Self-organizing Networks is a key driver for improving automated management in 4G and 5G networks. It reduces installation and management cost through simplifying operation task by self-configuration, optimization and healing of the network. In this context, load balancing, capacity optimization and mobility robustness optimization are examples of SON tools to improve network performance. As those tools achieve their function by adjusting the same parameters, a conflict is induced with these performance metrics. In this paper, we address the conflict resolution problem resulted from automated management of SON for different performance metrics. In addition we provide a novel solution for concurrent optimization of capacity and robustness while maintaining load imbalance between cells to its minimum value. The proposed solution is compared against two benchmark schemes to further illustrate the improvement of network performance with SON proposed algorithm in terms of throughput, robustness, and load distribution. 
Index Terms—Self-Organized network, MRO, MLB

Cite: Eman Serag El Din and Mahammad A. Safwat, "A Novel Algorithm for Optimization of Mobile Network Performance with Self-Organized Network," Journal of Communications vol. 15, no. 6, pp. 503-510, June 2020. Doi: 10.12720/jcm.15.6.503-510

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.