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Performance Evaluation of Multipath TCP Scheduling Algorithms
Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China.
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 29818-29825Article in journal (Refereed) Published
Abstract [en]

One of the goals of 5G is to provide enhanced mobile broadband and enable low latency in some use cases. To achieve this aim, the Internet Engineering Task Force (IETF) has proposed the Multipath TCP (MPTCP) by utilizing the feature of dual connectivity in 5G, where a 5G device can be served by two different base stations. However, the path heterogeneity between the 5G device to the server may cause packet out-of-order problem. The researchers proposed a number of scheduling algorithms to tackle this issue. This paper introduces the existing algorithms, and with the aim to make a thorough comparison between the existing scheduling algorithms and provide guidelines for designing new scheduling algorithms in 5G, we have conducted an extensive set of emulation studies based on the real Linux experimental platform. The evaluation covers a wide range of network scenarios to investigate the impact of different network metrics, namely, RTT, buffer size and file size on the performance of existing widely-deployed scheduling algorithms.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 7, p. 29818-29825
Keywords [en]
5G, enhanced broadband, Multipath TCP, out-of-order, scheduling algorithm
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-73085DOI: 10.1109/ACCESS.2019.2898110ISI: 000463024900001Scopus ID: 2-s2.0-85065312642OAI: oai:DiVA.org:ltu-73085DiVA, id: diva2:1292926
Note

Validerad;2019;Nivå 2;2019-03-26 (inah)

Available from: 2019-03-01 Created: 2019-03-01 Last updated: 2019-06-25Bibliographically approved

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Vasilakos, Athanasios

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