Understanding BBRv3 Performance in AQM-Enabled WiFi Networks
Abstract
We present a modular experimental testbed and lightweight visualization tool for evaluating TCP congestion control performance in wireless networks. We compare Google's latest Bottleneck Bandwidth and Round-trip time version 3 (BBRv3) algorithm with loss-based CUBIC under varying Active Queue Management (AQM) schemes, namely PFIFO, FQ-CoDel, and CAKE, on a Wi-Fi link using a commercial MikroTik router. Our real-time dashboard visualizes metrics such as throughput, latency, and fairness across competing flows. Results show that BBRv3 significantly improves fairness and convergence under AQM, especially with FQ-CoDel. Our visualization tool and modular testbed provide a practical foundation for evaluating next-generation TCP variants in real-world AQM-enabled home wireless networks.
Keywords
Cite
@article{arxiv.2509.06245,
title = {Understanding BBRv3 Performance in AQM-Enabled WiFi Networks},
author = {Shyam Kumar Shrestha and Jonathan Kua and Shiva Raj Pokhrel},
journal= {arXiv preprint arXiv:2509.06245},
year = {2025}
}
Comments
The 50th IEEE Conference on Local Computer Networks (LCN) October 14-16, 2025, Sydney, Australia