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Receiver-Side TCP Countermeasure in Cellular Networks
College of Information Science and Engineering, Hunan Normal University, Changsha, China. Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
College of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China. Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha, China.
College of Information Science and Engineering, Hunan Normal University, Changsha, China. Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
College of Information Science and Engineering, Hunan Normal University, Changsha, China. Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
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2019 (Engelska)Ingår i: Sensors, E-ISSN 1424-8220, Vol. 19, nr 12, artikel-id 2791Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Cellular-based networks keep large buffers at base stations to smooth out the bursty data traffic, which has a negative impact on the user’s Quality of Experience (QoE). With the boom of smart vehicles and phones, this has drawn growing attention. For this paper, we first conducted experiments to reveal the large delays, thus long flow completion time (FCT), caused by the large buffer in the cellular networks. Then, a receiver-side transmission control protocol (TCP) countermeasure named Delay-based Flow Control algorithm with Service Differentiation (DFCSD) was proposed to target interactive applications requiring high throughput and low delay in cellular networks by limiting the standing queue size and decreasing the amount of packets that are dropped in the eNodeB in Long Term Evolution (LTE). DFCSD stems from delay-based congestion control algorithms but works at the receiver side to avoid the performance degradation of the delay-based algorithms when competing with loss-based mechanisms. In addition, it is derived based on the TCP fluid model to maximize the network utility. Furthermore, DFCSD also takes service differentiation into consideration based on the size of competing flows to shorten their completion time, thus improving user QoE. Simulation results confirmed that DFCSD is compatible with existing TCP algorithms, significantly reduces the latency of TCP flows, and increases network throughput.

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MDPI, 2019. Vol. 19, nr 12, artikel-id 2791
Nyckelord [en]
cellular networks, receiver-side, congestion control
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URN: urn:nbn:se:ltu:diva-75552DOI: 10.3390/s19122791ISI: 000473762500143PubMedID: 31234375Scopus ID: 2-s2.0-85068750200OAI: oai:DiVA.org:ltu-75552DiVA, id: diva2:1343294
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Validerad;2019;Nivå 2;2019-08-16 (johcin)

Tillgänglig från: 2019-08-16 Skapad: 2019-08-16 Senast uppdaterad: 2022-02-10Bibliografiskt granskad

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Vasilakos, Athanasios

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