4G Network Optimization Based on Hybrid Clustering, Physical Tuning, and Genetic Algorithm
DOI:
https://doi.org/10.26418/elkha.v17i2.91704Keywords:
Genetics Algorithm, Clustering, DBSCAN, Cellular Network OptimizationAbstract
Optimization of resource allocation in fourth-generation cellular networks is critical to meet increasing demands for high data rates and low latency. The novelty of this research lies in the combination of network-spatial clustering with genetic algorithm-based physical tuning, which has not been jointly applied in the prior optimization of cellular networks. The clustering component partitions network zones based on spatial characteristics and traffic density, enabling localized parameter adjustment. The genetic algorithm performs physical tuning by iteratively selecting parameter sets that maximize network performance metrics. Experimental results demonstrate a significant enhancement in average data throughput, with observed increases of over twenty percent, and a reduction in latency by approximately twenty milliseconds compared to conventional tuning methods. These improvements translate into a more consistent user experience and better resource utilization under varying traffic conditions. The proposed approach also shows robustness across diverse urban scenarios, indicating its applicability to real-world deployments. By adapting to dynamic traffic patterns and environmental factors, the proposed solution ensures sustained network quality during peak demand and in challenging propagation environments. Future research will explore integration with machine learning"“based predictive models to further enhance tuning precision and proactive optimization. In conclusion, the hybrid network-spatial clustering and genetic algorithm"“based physical tuning method outperforms traditional optimization techniques by delivering higher performance gains and adaptability, offering a practical framework for enhancing fourth-generation network efficiency and laying the foundation for extending the methodology to emerging wireless standards.References
C. Bocanegra, T. E. Kennouche, Z. Li, L. Favalli, M. Di Felice, and K. Chowdhury, “E-Fi: Evasive Wi-Fi measures for surviving LTE within 5 GHz unlicensed band,†IEEE Trans Mob Comput, vol. 18, no. 4, pp. 830–844, Apr. 2019.
S. Aoki, K. Shiomoto, and C. L. Eng, “Few-Shot Learning and Self-Training for eNodeB Log Analysis for Service-Level Assurance in LTE Networks,†IEEE Transactions on Network and Service Management, vol. 17, no. 4, pp. 2077–2089, Dec. 2020.
A. T. H. Bui, C. T. Nguyen, T. C. Thang, and A. T. Pham, “A Comprehensive Distributed Queue-Based Random Access Framework for mMTC in LTE/LTE-A Networks with Mixed-Type Traffic,†IEEE Trans Veh Technol, vol. 68, no. 12, pp. 12107–12120, Dec. 2019.
R. Borralho, A. Mohamed, A. U. Quddus, P. Vieira, and R. Tafazolli, “A Survey on Coverage Enhancement in Cellular Networks: Challenges and Solutions for Future Deployments,†IEEE Communications Surveys and Tutorials, vol. 23, no. 2, pp. 1302–1341, Apr. 2021.
E. N. Onwuka et al., “Survey of Cellular Signal Booster,†International Journal of Information Engineering and Electronic Business, vol. 10, no. 6, pp. 21–31, Nov. 2018.
J. Li, J. Pang, and X. Fan, “Optimization of 5G base station coverage based on self-adaptive mutation genetic algorithm,†Comput Commun, vol. 225, pp. 83–95, Sep. 2024.
Y. H. Santana, R. Martinez Alonso, G. Guillen Nieto, L. Martens, W. Joseph, and D. Plets, “5G mmWave Network Planning Using Machine Learning for Path Loss Estimation,†IEEE Open Journal of the Communications Society, vol. 5, pp. 3451–3467, 2024.
J. Yang, M. Ding, G. Mao, Z. Lin, D. G. Zhang, and T. H. Luan, “Optimal Base Station Antenna Downtilt in Downlink Cellular Networks,†IEEE Trans Wirel Commun, vol. 18, no. 3, pp. 1779–1791, Mar. 2019.
A. Margaris, I. Filippas, and K. Tsagkaris, “Hybrid Network–Spatial Clustering for Optimizing 5G Mobile Networks,†Applied Sciences (Switzerland), vol. 12, no. 3, Feb. 2022.
B. Ren and W. Liu, “Clustering Optimized Genetic Algorithm-Based 5G Communication base Station Site Selection,†Highlights in Science, Engineering and Technology CECS, vol. 24, 2022.
Z. Chang et al., “Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models,†Remote Sens (Basel), vol. 12, no. 3, Feb. 2020.
A. Latifi-Pakdehi and N. Daneshpour, “DBHC: A DBSCAN-based hierarchical clustering algorithm,†Data Knowl Eng, vol. 135, Sep. 2021.
Z. Zhu, Y. Li, Y. Guo, Z. Zhou, and Z. Liu, “K-mean clustering algorithm and particle swarm algorithm based on base station siting optimization problem,†in IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), Institute of Electrical and Electronics Engineers (IEEE), Jan. 2023, pp. 1042–1046.
S. S. Li, “An Improved DBSCAN Algorithm Based on the Neighbor Similarity and Fast Nearest Neighbor Query,†IEEE Access, vol. 8, pp. 47468–47476, 2020.
A. A. Bushra and G. Yi, “Comparative Analysis Review of Pioneering DBSCAN and Successive Density-Based Clustering Algorithms,†IEEE Access, vol. 9, pp. 87918–87935, 2021.
S. Pramono, L. Alvionita, M. D. Ariyanto, and M. E. Sulistyo, “Optimization of 4G LTE (long term evolution) network coverage area in sub urban,†in AIP Conference Proceedings, American Institute of Physics Inc., Apr. 2020.
C. Weng, H. Wang, K. Li, and M. N. S. Swamy, “Azimuth Estimation for Sectorized Base Station with Improved Soft-Margin Classification,†IEEE Access, vol. 8, pp. 96649–96660, 2020.
M. Jaloun, Z. Guennoun, and A. Elasri, “Use Of Genetic Algorithm In The Optimisation Of The Lte Deployment,†International Journal of Wireless & Mobile Networks, vol. 3, no. 3, pp. 42–49, Jun. 2011.
Y. Qin, W. Huangfu, H. Zhang, W. Liu, and K. Long, “Accelerated Coverage Optimization with Particle Swarm in the Quotient Space Characterizing Antenna Azimuths of Cellular Networks,†IEEE Access, vol. 7, pp. 86252–86264, 2019.
E. D. O. Antunes et al., “Optimized Solutions for Deploying a Militarized 4G/LTE Network With Maximum Coverage and Minimum Interference,†IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 3645–3656, Sep. 2022.
S. N. Jaafar, K. E. Hamza, and V. A. Al-Salihi, “Proposed Base-Station Location Optimization with Genetic Algorithm Scheme for Lte Network Radio Planning,†IOP Conf Ser Mater Sci Eng, vol. 1094, no. 1, p. 012116, Feb. 2021.
G. E. Riani and W. F. Mahmudy, “Optimasi Jangkauan Jaringan 4G Menggunakan Algoritma Genetika,†Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 2, p. 141, Dec. 2016.
A. PURNAMA, E. S. NUGRAHA, and M. A. AMANAF, “Penerapan Metode ACP untuk Optimasi Physical Tuning Antena Sektoral pada Jaringan 4G LTE di Kota Purwokerto,†ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol. 8, no. 1, p. 138, Jan. 2020.
R. D. Ayuningtyas, M. P. K. Praja, S. Romadhona, and Z. H. Pradana, “Penerapan Skema Automatic Cell Planning (ACP) untuk Meningkatkan Coverage Area Jaringan 4G-LTE pada Perumahan Bukit Kalibagor Indah,†Journal of Telecommunication Electronics and Control Engineering (JTECE), vol. 6, no. 1, pp. 13–28, Jan. 2024.
S. Riri, D. Astharini, N. O. Samijayani, M. Ismail, D. Martin, and S. Rahmatia, “Automatic Cell Planning of LTE FDD 1800 MHz Network in Klaten, Central Java,†Proc. of the 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE), Jun. 2020.
Y. Zhang, “Large Data Oriented to Image Information Fusion Spark and Improved Fruit Fly Optimization Based on the Density Clustering Algorithm,†Advances in Multimedia, vol. 2023, pp. 1–14, Mar. 2023.
D. Deng, “DBSCAN Clustering Algorithm Based on Density,†in Proceedings - 2020 7th International Forum on Electrical Engineering and Automation, IFEEA 2020, Institute of Electrical and Electronics Engineers Inc., Sep. 2020, pp. 949–953.
I. Ferdiansah, M. A. Amanaf, and E. Wahyudi, “Simulasi Optimasi Jaringan LTE 1800 dengan Menggunakan Metode Physical Tunning di Kota Sukoharjo,†Journal of Telecommunication, Electronics, and Control Engineering (JTECE), vol. 3, no. 2, pp. 96–107, Jan. 2022.
L. M. Silalahi, S. Budiyanto, F. A. Silaban, I. U. V. Simanjuntak, and A. D. Rochendi, “Improvement of Quality and Signal Coverage LTE in Bali Province Using Drive Test Method,†in Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021, Institute of Electrical and Electronics Engineers Inc., Jul. 2021, pp. 376–380.
S. Pramono, L. Alvionita, M. D. Ariyanto, and M. E. Sulistyo, “Optimization of 4G LTE (long term evolution) network coverage area in sub urban,†in AIP Conference Proceedings, American Institute of Physics Inc., Apr. 2020.
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