3d8d135818d1675848a-1a80 20240320082750232 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2024 12 6 Research Scholar, Periyar University, Salem. T. Vidhya https://orcid.org/0009-0002-5797-1601 Dr. C. Chandrasekar https://orcid.org/0000-0002-4429-0498 Professor, Periyar University, Salem. Seamless Mobility (SM) is crucial for bringing about better Quality of Service (QoS) like minimum handover latency with maximum throughput in 5G networks. In this work a method called, Jenkin Impulse Response Filtering and Reinforcement Learning-based Gibbs Haversine Distribution (JIRF-RLGHD) for optimal selection of target cells for the handover process to ensure seamless mobility is designed. The JIRF-RLGHD method is split into two sections. They are predicting the signal quality of both serving and adjacent wireless nodes using the Box Jenkin Impulse Response Filtering model. The second task remains in applying Reinforcement Learning-based Gibbs Haversine Distribution for optimal selection of target cells for handover to ensure seamless mobility in a wireless network. The overall proposed method was simulated on a Python programming interface language. The simulation results reveal that the JIRF-RLGHD method offers a greater delivery rate, and handover success with lesser handover latency at minimal packet loss rate. Numerical results show that the JIRF-RLGHD method performs better in terms of data delivery rate by 18%, and handover latency by 33% compared to existing methods. 03 30 2024 43 54 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijrte.F8018.12060324 https://www.ijrte.org/portfolio-item/F801812060324/