Impact of traffic burst on the behavior of TCP variants for different LTE downlink schedulers

N. D. Adesh, A. Renuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In LTE network, the downlink resource scheduling process plays a vital role in enhancing the system performance and satisfy the end user quality of experience. However, the performance of system is not only confined to the single layer of LTE protocol stack, but there is also a correlation between the traffic dynamics and resource allocation decision. The study has been conducted to understand how the various combination of scheduling algorithms and Transmission Control Protocol (TCP) variants affects the performance of LTE network. This paper also investigates the effects of scheduling decision during traffic burst conditions with different TCP variants on the overall performance of the LTE network. In addition to that, the adverse effect of low and high queue space of users at eNodeB on TCP performance is also studied. The simulation results show that combination of H-TCP with PSS scheduler gives the highest throughput and TCP Vegas with PSS scheduler takes less end to end delay as well as Packet Delivery Fraction (PDF) compared to other TCP variants. By taking overall system performance parameter, TCP Westwood performs better in all combination with schedulers.

Original languageEnglish
Title of host publicationProceedings of the 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages18-23
Number of pages6
ISBN (Electronic)9781538611449
DOIs
Publication statusPublished - 19-06-2018
Event3rd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2017 - Tumkur, Karnataka, India
Duration: 21-12-201723-12-2017

Conference

Conference3rd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2017
CountryIndia
CityTumkur, Karnataka
Period21-12-1723-12-17

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Adesh, N. D., & Renuka, A. (2018). Impact of traffic burst on the behavior of TCP variants for different LTE downlink schedulers. In Proceedings of the 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2017 (pp. 18-23). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICATCCT.2017.8389100