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Research on the Effect of BBR Delay Detection Interval in TCP Transmission Competition on Heterogeneous Wireless Networks

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Wireless Algorithms, Systems, and Applications (WASA 2022)

Abstract

The bottleneck bandwidth and round-trip propagation time (BBR) algorithm effectively improves the network bandwidth utilization by its unique minimum delay and maximum bandwidth detection mechanism. However, with the development of 5G communication technology, whether the 10 s delay detection interval of BBR can meet the new high throughput and low latency heterogeneous network requirements needs to be studied. Therefore, based on the ns-3, this paper builds some scenarios to simulate the performance of BBR in wired, WiFi, and 5G networks. A spindle-shaped network topology is constructed to simulate the BBR competition. By modifying the delay detection interval of BBR to 5 s and 1 s, the competition among BBR streams with the same round-trip time (RTT), the competition among BBR streams with different RTTs, and the competition among BBR and other TCP congestion control algorithms (CCA) are simulated respectively. Then, a formula for calculating the delay detection interval is proposed. According to this formula, we propose a method to dynamically modify the delay detection interval. The method estimates the network state according to the change of RTT, and then calculates and updates the delay detection interval. Simulation results demonstrate that appropriately modifying the delay detection interval of BBR can alleviate the competition among BBR and other algorithms in heterogeneous wireless network.

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Acknowledgements

This work was supported by the National Key R &D Program of China (2018YFB1700100) and the CERNET Innovation Project (NGII20190801) and Fundamental Research Funds for the Central Universities under Grants (DUT21LAB115).

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Correspondence to Weifeng Sun .

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Sun, W., Meng, K., Wang, A. (2022). Research on the Effect of BBR Delay Detection Interval in TCP Transmission Competition on Heterogeneous Wireless Networks. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13472. Springer, Cham. https://doi.org/10.1007/978-3-031-19214-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-19214-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19213-5

  • Online ISBN: 978-3-031-19214-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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