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339919

Enhancing the TCP Newreno Fast RecoveryAlgorithm on 5G Networks

Article

Last updated: 24 Dec 2024

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Abstract

      Fifth-generation (5G) networks provide high-speed data transmission service. Therefore, relying on effective congestion control methods is one of the secrets to the success of the network's performance. One of the key functions of Transmission control protocol (TCP) is congestion control, which attempts to limit the TCP connection to its fair share of network bandwidth. TCP should have the ability to adapt to network conditions and channel fluctuations to get highly reliable and efficient data communications. This paper presents an adjusted fast recovery algorithm to enhance the performance of TCP-Newreno. The main idea behind this modification is to adjust the congestion window (cwnd) based on evaluating the round-trip time (RTT) changes to adapt to the dynamic channel conditions rather than reducing it to half of its value when network congestion is detected. In 5G networks, channel conditions tend to change frequently. This adjustment increases network throughput, reduces packet loss, and decreases delay.

DOI

10.21608/jocc.2024.339919

Keywords

TCP, Fast Recovery, 5G networks, Newreno

Authors

First Name

Saleh

Last Name

abdullah

MiddleName

-

Affiliation

Department of Mathematics and Computer Science, Faculty of Science, Al-Azhar University, Cairo, Egypt

Email

alraeesaleh15@gmail.com

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Orcid

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Volume

3

Article Issue

1

Related Issue

45956

Issue Date

2024-01-01

Receive Date

2023-09-21

Publish Date

2024-01-31

Page Start

33

Page End

43

Online ISSN

2636-3577

Link

https://jocc.journals.ekb.eg/article_339919.html

Detail API

https://jocc.journals.ekb.eg/service?article_code=339919

Order

3

Type

Original Article

Type Code

731

Publication Type

Journal

Publication Title

Journal of Computing and Communication

Publication Link

https://jocc.journals.ekb.eg/

MainTitle

Enhancing the TCP Newreno Fast RecoveryAlgorithm on 5G Networks

Details

Type

Article

Created At

24 Dec 2024