Leveraging Coupled BBR and Adaptive Packet Scheduling to Boost MPTCP
Autor: | David S. L. Wei, Jian Li, Yitao Xing, Guoliang Xue, Wenjia Wei, Jiangping Han, Kaiping Xue |
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Rok vydání: | 2021 |
Předmět: |
Dynamic network analysis
Wireless network business.industry Computer science Network packet Applied Mathematics ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Throughput Multipath TCP Computer Science Applications Network congestion Packet loss Electrical and Electronic Engineering business Heterogeneous network Computer network |
Zdroj: | IEEE Transactions on Wireless Communications. 20:7555-7567 |
ISSN: | 1558-2248 1536-1276 |
DOI: | 10.1109/twc.2021.3085661 |
Popis: | Multipath TCP (MPTCP) utilizes multiple paths for simultaneous data transmission to enhance performance. However, existing MPTCP protocols are still far from satisfactory in wireless networks because of their loss-based congestion control and the difficulty of managing multiple subflows. To overcome these problems, we redesign the coupled congestion control algorithm and scheduler to boost MPTCP in wireless heterogeneous networks. The main purpose is to promote transmission rate under lossy networks, while also provide stability when networks suffer physical link changes and asymmetric links. In this paper, inspired by Bottleneck Bandwidth and Round-trip propagation time (BBR), we first propose Coupled BBR that utilizes detected bandwidth to adjust the sending rate within an MPTCP connection. Coupled BBR provides high loss tolerance as well as balanced congestion among MPTCP subflows. Then, to further improve the performance, we propose an Adaptively Redundant and Predictive packet (AR&P) scheduler to improve adaptability and keep in-order packet delivery in highly dynamic network scenarios. Based on Linux kernel implementation and experiments in both testbed and real network scenarios, we show that the proposed scheme not only provides high throughput in wireless networks, but also improves robustness and reduces out-of-order packets in some harsh circumstances. |
Databáze: | OpenAIRE |
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