Performance Tuning of 5G Networks Using AI and Machine Learning Algorithms
DOI:
https://doi.org/10.36676/jrps.v11.i4.1589Keywords:
5G networks, performance tuning, artificial intelligence, machine learning, network op-timizationAbstract
As the demand for faster and more reliable mobile networks intensifies, the deployment of 5G has emerged as a transformative solution to meet the growing needs of connectivity. However, to fully leverage the potential of 5G networks, it is crucial to optimize their performance. This paper explores the application of Artificial Intelligence (AI) and Machine Learning (ML) algorithms in the performance tuning of 5G networks, focusing on areas such as network resource allocation, traffic prediction, and real-time decision-making. By analyzing vast datasets generated by 5G infrastructures, AI and ML enable dynamic adjustments, thereby improving network efficiency, reducing latency, and enhancing overall user experience. The integration of these advanced technologies allows for self-optimizing networks that adapt in real time, minimizing human intervention and operational costs. This research highlights the key algorithms and techniques used for performance optimization, discusses the challenges of implementing AI in real-world 5G networks, and outlines the future directions for achieving fully autonomous network management. Ultimately, the study illustrates how AI and ML are pivotal in driving the future of telecommunications through intelligent 5G network tuning.
References
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C., & Zhang, J. C. (2014). What will 5G be? IEEE Jour-nal on Selected Areas in Communications, 32(6), 1065-1082. https://doi.org/10.1109/JSAC.2014.2328098 DOI: https://doi.org/10.1109/JSAC.2014.2328098
Dai, L., Wang, B., Ding, Z., Wang, Z., Chen, S., & Hanzo, L. (2015). A survey of non-orthogonal multiple access for 5G. IEEE Communications Surveys & Tutori-als, 20(3), 2294-2323. https://doi.org/10.1109/COMST.2018.2835558 DOI: https://doi.org/10.1109/COMST.2018.2835558
Cisco Systems. (2020). 5G Architecture and Key Performance Indicators. Cisco White Paper. Retrieved from https://www.cisco.com/c/en/us/solutions/service-provider/5g-architecture.html
Gupta, A., & Jha, R. K. (2015). A survey of 5G network: Architecture and emerging technologies. IEEE Access, 3, 1206-1232. https://doi.org/10.1109/ACCESS.2015.2461602 DOI: https://doi.org/10.1109/ACCESS.2015.2461602
Chen, M., Mao, S., & Liu, Y. (2019). Big data: A survey. Mobile Networks and Ap-plications, 19(2), 171-209. https://doi.org/10.1007/s11036-013-0489-0 DOI: https://doi.org/10.1007/s11036-013-0489-0
Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., ... & Liu, Y. (2019). 6G wireless networks: Vision, requirements, architec-ture, and key technologies. IEEE Vehicular Technology Magazine, 14(3), 28-41. https://doi.org/10.1109/MVT.2019.2921208 DOI: https://doi.org/10.1109/MVT.2019.2921208
Mismar, F. B., Evans, B. L., & Vishwanath, S. (2019). Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination. IEEE Transactions on Communications, 67(10), 6678-6690. https://doi.org/10.1109/TCOMM.2019.2923987
Tang, F., Kawamoto, Y., Kato, N., & Liu, J. (2018). Future intelligent and secure ve-hicular network toward 6G: Machine-learning approaches. Proceedings of the IEEE, 108(2), 292-307. https://doi.org/10.1109/JPROC.2019.2932091 DOI: https://doi.org/10.1109/JPROC.2019.2954595
Li, S., Da Xu, L., & Zhao, S. (2015). 5G Internet of Things: A survey. Journal of Industrial Information Integration, 10, 1-9. https://doi.org/10.1016/j.jii.2018.01.005 DOI: https://doi.org/10.1016/j.jii.2018.01.005
Liu, Y., Qin, Z., Elkashlan, M., Hanzo, L., & Ding, Z. (2016). Non-orthogonal multi-ple access for 5G and beyond. Proceed-ings of the IEEE, 104(9), 1730-1765. https://doi.org/10.1109/JPROC.2016.2571299
Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Infor-mation Technology, 2(2), 506-512.
Singh, S. P. & Goel, P., (2010). Method and process to motivate the employee at performance appraisal system. Interna-tional Journal of Computer Science & Communication, 1(2), 127-130.
Goel, P. (2012). Assessment of HR devel-opment framework. International Research Journal of Management Sociology & Hu-manities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh DOI: https://doi.org/10.32804/IRJMSH
Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Eco-nomics, 3(6). Adhunik Institute of Produc-tivity Management and Research, Gha-ziabad.
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. Inter-national Journal of Computer Science and Information Technology, 10(1), 31-42. https://rjpn.org/ijcspub/papers/IJCSP20B1006.pdf
"Effective Strategies for Building Parallel and Distributed Systems", International Journal of Novel Research and Develop-ment, ISSN:2456-4184, Vol.5, Issue 1, page no.23-42, January-2020. http://www.ijnrd.org/papers/IJNRD2001005.pdf
"Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Chal-lenges and Solutions", International Jour-nal of Emerging Technologies and Innova-tive Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.96-108, Sep-tember-2020, https://www.jetir.org/papers/JETIR2009478.pdf
Venkata Ramanaiah Chintha, Priyanshi, Prof.(Dr) Sangeet Vashishtha, "5G Net-works: Optimization of Massive MIMO", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Vol-ume.7, Issue 1, Page No pp.389-406, Feb-ruary-2020. (http://www.ijrar.org/IJRAR19S1815.pdf )
Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solu-tions in on-premise financial services. In-ternational Journal of Research and Ana-lytical Reviews (IJRAR), 7(3), 481-491 https://www.ijrar.org/papers/IJRAR19D5684.pdf
Sumit Shekhar, SHALU JAIN, DR. POORNIMA TYAGI, "Advanced Strategies for Cloud Security and Compliance: A Comparative Study", IJRAR - International Journal of Research and Analytical Re-views (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.396-407, January 2020. (http://www.ijrar.org/IJRAR19S1816.pdf )
"Comparative Analysis OF GRPC VS. ZeroMQ for Fast Communication", Inter-national Journal of Emerging Technolo-gies and Innovative Research, Vol.7, Issue 2, page no.937-951, February-2020. (http://www.jetir.org/papers/JETIR2002540.pdf )
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. Inter-national Journal of Computer Science and Information Technology, 10(1), 31-42. https://rjpn.org/ijcspub/papers/IJCSP20B1006.pdf
"Effective Strategies for Building Parallel and Distributed Systems". International Journal of Novel Research and Develop-ment, Vol.5, Issue 1, page no.23-42, Jan-uary 2020. http://www.ijnrd.org/papers/IJNRD2001005.pdf
"Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Chal-lenges and Solutions". International Jour-nal of Emerging Technologies and Innova-tive Research, Vol.7, Issue 9, page no.96-108, September 2020. https://www.jetir.org/papers/JETIR2009478.pdf
Venkata Ramanaiah Chintha, Priyanshi, & Prof.(Dr) Sangeet Vashishtha (2020). "5G Networks: Optimization of Massive MIMO". International Journal of Research and Analytical Reviews (IJRAR), Volume.7, Issue 1, Page No pp.389-406, February 2020. (http://www.ijrar.org/IJRAR19S1815.pdf)
Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solu-tions in on-premise financial services. In-ternational Journal of Research and Ana-lytical Reviews (IJRAR), 7(3), 481-491. https://www.ijrar.org/papers/IJRAR19D5684.pdf
Sumit Shekhar, Shalu Jain, & Dr. Poorni-ma Tyagi. "Advanced Strategies for Cloud Security and Compliance: A Comparative Study". International Journal of Research and Analytical Reviews (IJRAR), Volume.7, Issue 1, Page No pp.396-407, January 2020. (http://www.ijrar.org/IJRAR19S1816.pdf)
"Comparative Analysis of GRPC vs. ZeroMQ for Fast Communication". Inter-national Journal of Emerging Technolo-gies and Innovative Research, Vol.7, Issue 2, page no.937-951, February 2020. (http://www.jetir.org/papers/JETIR2002540.pdf)
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. Inter-national Journal of Computer Science and Information Technology, 10(1), 31-42. Available at: http://www.ijcspub/papers/IJCSP20B1006.pdf
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
