OCC: Physical-Layer Assisted Congestion Control for Real-Time Communications

TL;DR

OCC introduces a physical-layer based congestion control method for real-time communications in 6G, significantly reducing latency and increasing bitrate by leveraging real-time bandwidth estimation.

Contribution

It presents a novel physical-layer assisted congestion control approach that explicitly estimates available bandwidth for improved RTC performance.

Findings

Reduces tail network latency by 13% to 68%.

Improves video frame bitrate by 1.2x to 3.5x.

Enhances mobile RTC performance through real-world experiments.

Abstract

Real-time communications (RTC) is a core technology for emerging applications in 6G, such as cloud gaming, teleoperation, and extended reality (XR), which require consistently low latency and high bitrates. Existing RTC solutions fundamentally struggle to maintain low latency while supporting high bitrates due to their reliance on trial-and-error-based mechanisms. These mechanisms fail to probe the available bandwidth (ABW) promptly and accurately, leading to a trade-off between latency reliability and bandwidth utilization. The tension becomes extremely more critical as the cellular bandwidth and application's demand fluctuate with a larger range in cellular networks nowadays. To address this trade-off, we propose OCC, a novel approach that utilizes physical-layer information to explicitly obtain the ABW in real time, enabling rapid adaptation to dynamic wireless network conditions. However, the unique characteristics of RTC, including traffic bursts, application (APP) limits, and encoder lag, make the physical-layer informed control non-trivial. OCC effectively addresses these issues through three innovative strategies: frame-aware bandwidth measurement, APP-limit-aware bandwidth estimation, and encoder-friendly rate control. Extensive over-the-air experiments on an open-source cellular testbed demonstrate that OCC significantly enhances the performance of mobile RTC, reducing tail network latency by $13\%$ to $68\%$ and improving video frame bitrate by $1.2\times$ to $3.5\times$.