Quantum-Encrypted 6G Fronthaul Network: Enhancing Security and Efficiency in Next-Generation Wireless Communication

The transition from 5G to 6G networks introduces significant advancements in speed, latency, and connectivity, but also raises critical security concerns. The increasing number of devices that need to be plugged into the network makes the demand for enhanced security and efficiency paramount. This paper proposes a novel Quantum-Encrypted 6G Fronthaul Network Architecture, integrating quantum communication with passive wavelength division multiplexing technology to address the security challenges in next-generation networks. The architecture ensures theoretically unbreakable encryption by utilizing quantum key distribution techniques on top of the current passive WDM fronthaul network architecture. It reduces the difficulty and cost of network upgrades while maintaining high bandwidth utilization and scalability. By deploying quantum communication devices in Active Antenna Units and Distributed Units, the proposed system enhances the security of the fronthaul link, protecting against eavesdropping and cyber attacks. The results obtained through simulation demonstrate that the system is highly resistant to dark counts, detection efficiency, and photon pulse variations, ensuring reliable key distribution over long distances. This architecture not only provides a cost-effective upgrade path for existing 5G networks but also paves the way for secure, high-capacity communication in future 6G applications, such as autonomous systems, smart cities, and critical infrastructure.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-03-31
DOI
https://doi.org/10.54254/2755-2721/2025.21689
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum-Encrypted 6G Fronthaul Network: Enhancing Security and Efficiency in Next-Generation Wireless Communication

Min Zheng, Yubo Xuan
Applied and Computational Engineering
Advanced Wireless Communication Technologies
article

Quantum-Encrypted 6G Fronthaul Network: Enhancing Security and Efficiency in Next-Generation Wireless Communication

Min Zheng, Yubo Xuan
article en

Abstract

The transition from 5G to 6G networks introduces significant advancements in speed, latency, and connectivity, but also raises critical security concerns. The increasing number of devices that need to be plugged into the network makes the demand for enhanced security and efficiency paramount. This paper proposes a novel Quantum-Encrypted 6G Fronthaul Network Architecture, integrating quantum communication with passive wavelength division multiplexing technology to address the security challenges in next-generation networks. The architecture ensures theoretically unbreakable encryption by utilizing quantum key distribution techniques on top of the current passive WDM fronthaul network architecture. It reduces the difficulty and cost of network upgrades while maintaining high bandwidth utilization and scalability. By deploying quantum communication devices in Active Antenna Units and Distributed Units, the proposed system enhances the security of the fronthaul link, protecting against eavesdropping and cyber attacks. The results obtained through simulation demonstrate that the system is highly resistant to dark counts, detection efficiency, and photon pulse variations, ensuring reliable key distribution over long distances. This architecture not only provides a cost-effective upgrade path for existing 5G networks but also paves the way for secure, high-capacity communication in future 6G applications, such as autonomous systems, smart cities, and critical infrastructure.

Applied and Computational EngineeringVol. 141(1)
Jilin University (CN)
Openalex Percentile: Top 95%
Advanced Wireless Communication Technologies
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Quantum-Encrypted 6G Fronthaul Network: Enhancing Security and Efficiency in Next-Generation Wireless Communication — Min Zheng, Yubo Xuan · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS