Towards Sub-millisecond Latency and Guaranteed Bit Rates in 5G User Plane

TL;DR

This paper introduces a programmable data plane model for 5G networks that guarantees sub-millisecond latency and precise bandwidth control, supporting diverse QoS profiles with high reliability.

Contribution

It presents a flexible, P4-based data plane design supporting all 3GPP QoS types with real-world implementation and evaluation on programmable hardware.

Findings

Achieves microsecond-level latency for critical traffic

Provides near-zero packet loss under congestion

Supports all 3GPP QoS resource types

Abstract

Next-generation services demand stringent Quality of Service (QoS) guarantees, such as per-flow bandwidth assurance, ultra-low latency, and traffic prioritization, posing significant challenges to 5G and beyond networks. As 5G network functions increasingly migrate to edge and central clouds, the transport layer becomes a critical enabler of end-to-end QoS compliance. However, traditional fixed-function infrastructure lacks the flexibility to support the diverse and dynamic QoS profiles standardized by 3GPP. This paper presents a QoS-aware data plane model for programmable transport networks, designed to provide predictable behavior and fine-grained service differentiation. The model supports all 3GPP QoS resource types and integrates per-flow metering, classification, strict priority scheduling, and delay-aware queuing. Implemented on off-the-shelf programmable hardware using P4 and evaluated on an Intel Tofino switch, our approach ensures per-flow bandwidth guarantees, sub-millisecond delay for delay-critical traffic, and resilience under congestion. Experimental results demonstrate that the model achieves microsecond-level latencies and near-zero packet loss for mission-critical flows, validating its suitability for future QoS-sensitive applications in 5G and beyond.