Enhancing LTE Network Performance through Optimized Integrator Handover Algorithm

Authors

  • Bhuvaneswar Raju Pericharla  Computer Science Department, New Jersey Institute of Technology, Newark, NJ, USA
  • Sri Lasya Varma Indukuri  Computer Science Department, New Jersey Institute of Technology, Newark, NJ, USA
  • Dhruvan Sai Narayan Kethineedi  Computer Science Department, New Jersey Institute of Technology, Newark, NJ, USA

DOI:

https://doi.org/10.32628/CSEIT2390627

Keywords:

LTE Networks, Handover Algorithm, Integrator Algorithm, Network Performance, Simulation

Abstract

In the landscape of Long-Term Evolution (LTE) networks, handover algorithms play a pivotal role in maintaining uninterrupted service quality during user mobility. This study revisits the Integrator Handover Algorithm, initially analyzed in previous research, focusing on its optimization in response to the evolving challenges in modern LTE networks. We delve into identifying the inefficiencies of the current algorithm and propose enhancements aimed at improving handover success rates and minimizing latency. Our methodology encompasses a comprehensive literature review, empirical data analysis from contemporary LTE deployments, and a simulation-based approach for algorithm refinement. The outcome is an evolved Integrator Handover Algorithm that is better suited to the high traffic volumes and diverse user behaviors in current LTE network scenarios.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-12-30

Issue

Volume 9, Issue 6, November-December-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Bhuvaneswar Raju Pericharla, Sri Lasya Varma Indukuri, Dhruvan Sai Narayan Kethineedi, " Enhancing LTE Network Performance through Optimized Integrator Handover Algorithm" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 6, pp.207-209, November-December-2023. Available at doi : https://doi.org/10.32628/CSEIT2390627