A Model for Congestion Mitigation in Long-Term Evolution Networks Using Traffic Shaping
A Model for Congestion Mitigation in Long-Term Evolution  Networks Using Traffic Shaping
Article PDF

Keywords

long-term evolution
congestion
mitigate
delay
throughput

How to Cite

Oyebode Aduragbemi. (2018). A Model for Congestion Mitigation in Long-Term Evolution Networks Using Traffic Shaping. Global Journal of Computer Science and Technology, 18(E2), 35–41. Retrieved from https://gjcst.com/index.php/gjcst/article/view/566

Abstract

Long-Term Evolution LTE has evolved the field of data transmission bringing about the era of 4th Generation Networks capable of providing broadband speeds to mobile users based on the development experienced in the field of data transmission There has been a sporadic increase in the utilization of Long-Term Evolution LTE networks due to the ever-growing utilization of network links and network services certain issues begin to rise one of such issues is the problem of congestion The more utilized a network becomes the more vulnerable it is to congestion Data networks become congested when network cannot keep up with the growing demand for the networks resources The focus of this work is on proposing a model to mitigate the effects of congestion on Long-Term Evolution LTE networks The model was evaluated using the NS-2 network simulator and Network Utilization Network Delay Throughput metrics would be used to evaluate the efficiency of the model The enhanced model performed better and more efficiently than previous solutions offering a better way to mitigate the effects of congestion in Long-Term Evolution networks The results obtained from the simulations showed that the enhanced model if implemented in Long-Term Evolution network will reduce the effects of congestion improving network throughput and overall performance
Article PDF
Creative Commons License

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

Copyright (c) 2018 Authors and Global Journals Private Limited