Q-Learning Based and Energy-Aware Multipath Congestion Control in Mobile Wireless Network.
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| Title: | Q-Learning Based and Energy-Aware Multipath Congestion Control in Mobile Wireless Network. |
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| Authors: | JIUREN QIN1 jrqin@bupt.edu.cn, KAI GAO1 gaokai@bupt.edu.cn, LUJIE ZHONG1 sjyang@bupt.edu.cn, SHUJIE YANG1 zhonglj@cnu.edu.cn |
| Source: | Journal of Information Science & Engineering. Jan2022, Vol. 38 Issue 1, p165-183. 19p. |
| Subjects: | Internet Engineering Task Force (Organization), Bluetooth technology, Telecommunication, Energy consumption, Wireless communications, Task forces, Communication of technical information |
| Abstract: | Along with the development of mobile wireless communication technologies, many devices are equipped with more than on network interfaces (4G/5G,Wi-Fi, Bluetooth, etc.). To aggregate the idle bandwidth of different network interfaces, Multipath Transmission Control Protocols (MPTCP) are standardized by the Internet Engineering Task Force (IETF). MPTCP can establish sub-flows through different network interface in one connection and improve the transmission efficiency by transmitting data concurrently. However, there are still two problem for MPTCP to work in the mobile wireless network: (1) Unawareness to the network changes; (2) No consideration of energy consumption. To address these two issues, we propose the Q-Learning based and Energy-aware Multipath Congestion Control (QE-MCC) scheme in this paper. Firstly, the stability and trend parameters are introduced to formulate the system state. Then, an energy-aware transmission utility model is presented to evaluate the effects of congestion control. Finally, the Q-learning based congestion control algorithms are designed to improve transmission efficiency. The simulation results shows that QE-MCC performs better on throughput, delay and, energy consumption compared with standard and similar solutions. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 154852457 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Q-Learning Based and Energy-Aware Multipath Congestion Control in Mobile Wireless Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22JIUREN+QIN%22">JIUREN QIN</searchLink><relatesTo>1</relatesTo><i> jrqin@bupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22KAI+GAO%22">KAI GAO</searchLink><relatesTo>1</relatesTo><i> gaokai@bupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22LUJIE+ZHONG%22">LUJIE ZHONG</searchLink><relatesTo>1</relatesTo><i> sjyang@bupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22SHUJIE+YANG%22">SHUJIE YANG</searchLink><relatesTo>1</relatesTo><i> zhonglj@cnu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Science+%26+Engineering%22">Journal of Information Science & Engineering</searchLink>. Jan2022, Vol. 38 Issue 1, p165-183. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Internet+Engineering+Task+Force+%28Organization%29%22">Internet Engineering Task Force (Organization)</searchLink><br /><searchLink fieldCode="DE" term="%22Bluetooth+technology%22">Bluetooth technology</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication%22">Telecommunication</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications%22">Wireless communications</searchLink><br /><searchLink fieldCode="DE" term="%22Task+forces%22">Task forces</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+of+technical+information%22">Communication of technical information</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Along with the development of mobile wireless communication technologies, many devices are equipped with more than on network interfaces (4G/5G,Wi-Fi, Bluetooth, etc.). To aggregate the idle bandwidth of different network interfaces, Multipath Transmission Control Protocols (MPTCP) are standardized by the Internet Engineering Task Force (IETF). MPTCP can establish sub-flows through different network interface in one connection and improve the transmission efficiency by transmitting data concurrently. However, there are still two problem for MPTCP to work in the mobile wireless network: (1) Unawareness to the network changes; (2) No consideration of energy consumption. To address these two issues, we propose the Q-Learning based and Energy-aware Multipath Congestion Control (QE-MCC) scheme in this paper. Firstly, the stability and trend parameters are introduced to formulate the system state. Then, an energy-aware transmission utility model is presented to evaluate the effects of congestion control. Finally, the Q-learning based congestion control algorithms are designed to improve transmission efficiency. The simulation results shows that QE-MCC performs better on throughput, delay and, energy consumption compared with standard and similar solutions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.6688/JISE.202201_38(1).0009 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 165 Subjects: – SubjectFull: Internet Engineering Task Force (Organization) Type: general – SubjectFull: Bluetooth technology Type: general – SubjectFull: Telecommunication Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Wireless communications Type: general – SubjectFull: Task forces Type: general – SubjectFull: Communication of technical information Type: general Titles: – TitleFull: Q-Learning Based and Energy-Aware Multipath Congestion Control in Mobile Wireless Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: JIUREN QIN – PersonEntity: Name: NameFull: KAI GAO – PersonEntity: Name: NameFull: LUJIE ZHONG – PersonEntity: Name: NameFull: SHUJIE YANG IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 10162364 Numbering: – Type: volume Value: 38 – Type: issue Value: 1 Titles: – TitleFull: Journal of Information Science & Engineering Type: main |
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