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Improving QoS for streaming data transmission over 6G networks using reconfigurable intelligent surfaces (RIS).

Hegazi M Ibrahim^1,2, Maha M Shiha³, Mohamed E Nasr⁴

¹Faculty of Information Technology, Department of Computer science, Al-Isra University, Amman, Jordan.

Scientific Reports

|February 4, 2026

Summary

This study demonstrates how Reconfigurable Intelligent Surfaces (RIS) significantly boost 6G network performance at 300 GHz. RIS enhances signal quality, reduces errors, and drastically improves speed for reliable, low-latency communication.

Keywords:

6G LOS NLOS QoS RIS SNR

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Area of Science:

Wireless Communication Engineering
Terahertz (THz) Spectrum Utilization
Next-Generation Mobile Networks (6G)

Background:

Ultra-reliable low-latency communication (URLLC) is critical for future 6G applications.
Terahertz (300 GHz) bands offer vast bandwidth but face propagation challenges.
Reconfigurable Intelligent Surfaces (RIS) can intelligently shape wireless environments.

Purpose of the Study:

To investigate a RIS-assisted 6G framework at 300 GHz for enhanced Quality of Service (QoS).
To analyze the impact of RIS on reliability, latency, and throughput in Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) scenarios.
To meet stringent URLLC requirements for streaming data.

Main Methods:

Developed a 6G framework utilizing RIS at 300 GHz.
Modeled propagation environment, incorporating noise power, path loss, RIS array gain, and atmospheric absorption.
Introduced coding-aware Bit Error Rate (BER) and an SNR-dependent latency relation.
Performed multi-run statistical analysis for robustness.

Main Results:

RIS elevated NLoS Signal-to-Noise Ratio (SNR) from -20 dB to over 45 dB.
Reduced Bit Error Rate (BER) to below 5.5 x 10⁻¹⁰.
Decreased packet delay from 16.5 ms to approximately 2 ms.
Increased throughput from 1 Gbps to 20 Gbps.
Demonstrated achievement of URLLC targets.

Conclusions:

RIS-assisted 6G frameworks significantly enhance QoS at 300 GHz.
RIS technology is crucial for overcoming THz propagation challenges in NLoS conditions.
The proposed framework meets demanding URLLC performance metrics for future wireless systems.