Data transmissions suffer from TCP’s poor performance since the introduction of the first commercial wireless services in the 1990s. Recent years have witnessed a surge of academia and industry activities in the field of TCP performance optimization. For a TCP flow whose last hop is a wireless link, congestions in the last hop dominate its performance. We implement an integral data sampling, network monitoring, and rate control software-defined wireless networking (SDWN) system. By analysing our sampled data, we find that there exist strong relationships between congestion packet loss behaviors and the instant cross-layer network metric measurements (states). We utilize these qualitative relationships to predict future congestions in wireless links and enhance TCP performance by launch necessary rate control locally on the access points (AP) before the congestions. We also implement modeling and rate control modules on this platform. Our platform senses the instant wireless dynamic and takes actions promptly to avoid future congestions. We conduct real-world experiments to evaluate its performance. The experiment results show that our methods outperform the bottleneck bandwidth and RTT (BBR) protocol and a recently proposed protocol Vivace on throughput, delay, and jitter performance at least 16.5%, 25%, and 12.6%, respectively.

中文翻译：

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基于学习的On-AP TCP性能增强

自1990年代首次引入商业无线服务以来，数据传输一直遭受TCP性能不佳的困扰。近年来，TCP性能优化领域的学术界和行业活动激增。对于最后一跳是无线链路的TCP流，最后一跳的拥塞控制着它的性能。我们实现了一个完整的数据采样，网络监控和速率控制软件定义的无线网络（SDWN）系统。通过分析采样数据，我们发现拥塞数据包丢失行为与即时跨层网络指标测量（状态）之间存在很强的关系。我们利用这些定性关系来预测无线链路中的未来拥塞情况，并通过在拥塞发生之前在接入点（AP）上本地启动必要的速率控制来增强TCP性能。我们还在此平台上实现建模和费率控制模块。我们的平台可感知即时的无线动态并及时采取措施，避免将来出现拥塞。我们进行了真实的实验来评估其性能。实验结果表明，我们的方法在吞吐量，延迟和抖动性能方面分别优于瓶颈带宽和RTT（BBR）协议以及最近提出的Vivace协议，分别至少达到16.5％，25％和12.6％。我们的平台可感知即时的无线动态并及时采取措施，避免将来出现拥塞。我们进行了真实的实验来评估其性能。实验结果表明，我们的方法在吞吐量，延迟和抖动性能方面分别优于瓶颈带宽和RTT（BBR）协议以及最近提出的Vivace协议，分别至少达到16.5％，25％和12.6％。我们的平台可感知即时的无线动态并及时采取措施，避免将来出现拥塞。我们进行了真实的实验来评估其性能。实验结果表明，我们的方法在吞吐量，延迟和抖动性能方面分别优于瓶颈带宽和RTT（BBR）协议以及最近提出的Vivace协议，分别至少达到16.5％，25％和12.6％。