Field Test of 5G New Radio (NR) UL-MIMO and UL-256QAM for HD Live-Streaming

2025-11-24

AI Summary

User-generated content (UGC) high-definition (HD) live streaming imposes stringent demands on 5G uplink (UL) capacity, yet real-world performance gains of physical-layer enhancements—specifically UL-MIMO and UL-256QAM—remain empirically unvalidated in operational networks. Method: We conduct the first systematic field evaluation of these techniques in a live commercial 5G network. Using customized baseband firmware on off-the-shelf user equipment to enable precise feature control, we stream HD video via RTMP while concurrently collecting radio-level metrics—including RSRP, RSRQ, and SINR—using a CSI framework. We quantify impacts on UL throughput, spectral efficiency, frame loss rate, and connection stability. Results: Joint activation of UL-MIMO and UL-256QAM yields ~37% UL throughput gain, reduces frame loss by over 50%, and markedly improves streaming reliability. This work provides the first empirical evidence linking PHY-layer uplink enhancements to tangible improvements in real-time streaming QoE, offering critical validation for 5G UL evolution and UGC service deployment.

Technology Category

• Data Mining & Knowledge Management: Data Stream Mining
• Multiagent Systems: Agent Communication
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success

Abstract

The exponential growth of User-Generated Content (UGC), especially High-Definition (HD) live video streaming, places a significant demand on the uplink capabilities of mobile networks. To address this, the 5G New Radio (NR) standard introduced key uplink enhancements, including Uplink Multi-Input Multi-Output (UL-MIMO) and Uplink 256QAM, to improve throughput and spectral efficiency. However, while the benefits of these features for raw data rates are well-documented, their practical impact on real-time applications like live-streaming is not yet well understood. This paper investigates the performance of UL-MIMO and UL-256QAM for HD live-streaming over a commercial 5G network using the Real-Time Messaging Protocol (RTMP). To ensure a fair assessment, we conduct a comparative analysis by modifying the modem firmware of commercial User Equipment (UE), allowing these features to be selectively enabled and disabled on the same device. Performance is evaluated based on key metrics, including dropped video frames and connection stability. Furthermore, this study analyzes 5G Radio Frequency (RF) parameters to quantify the spectral efficiency impact, specifically examining metrics derived from the Channel State Information (CSI) framework, including Reference Signal Received Power (CSI-RSRP), Reference Signal Received Quality (CSI-RSRQ), and Signal-to-Interference-plus-Noise Ratio (CSI-SINR).

Problem

• Evaluating 5G UL-MIMO and 256QAM for HD live-streaming performance
• Assessing practical impact on dropped frames and connection stability
• Quantifying spectral efficiency using 5G RF parameters and CSI metrics

Innovation

• Used UL-MIMO and UL-256QAM in 5G NR
• Modified modem firmware for selective feature control
• Analyzed RF parameters via CSI framework metrics