XRC: An Explicit Rate Control for Future Cellular Networks

Morteza Kheirkhah, Mohamed M. Kassem, Gorry Fairhurst, Mahesh K. Marina

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

Abstract

We propose XRC, an explicit rate control algorithm that overcomes the poor performance of commonly used TCP variants in cellular networks. XRC exploits explicit feedback from the radio access network that is aware of the physical, network and transport layer information of all UEs as well as resource distribution policies for users with different traffic characteristics. XRC co-exists fairly with other XRC and non-XRC flows at the wireless and non-wireless bottlenecks while it strictly controls queuing delay within a small threshold. We implement XRC in NS-3 and examine its performance across a range of network loads and dynamics. When competing with CUBIC at a wireless bottleneck, XRC achieves a Jain’s fairness index of 99.7% while providing a 3x lower median queuing delay compared to when CUBIC competes with CUBIC in the same setup.
Original languageEnglish
Title of host publicationProceedings of IEEE International Conference on Communications
PublisherIEEE
Number of pages7
ISBN (Electronic)978-1-5386-8348-4
ISBN (Print)978-1-5386-8347-7
DOIs
Publication statusPublished - 11 Aug 2022
EventIEEE International Conference on Communications 2022
- Seoul, Korea, Republic of
Duration: 16 May 202220 May 2022

Publication series

NameIEEE International Conference on Communications (ICC)
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications 2022
Abbreviated titleICC 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period16/05/2220/05/22

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