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Published on 20 February 2023
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Kuang,Y. (2023).Modelling and Analysis of Quantum Security Architecture for B5G Fronthaul Network.Theoretical and Natural Science,2,142-147.
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Modelling and Analysis of Quantum Security Architecture for B5G Fronthaul Network

Yunyang Kuang 1
  • 1 Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2/20220112

Abstract

To satisfy the urgent requirements of security for fifth generation (5G) fronthaul network, quantum key distribution (QKD) technique is taken into consideration as a promising way. In this paper, we first propose an architecture for quantum security beyond fifth generation (B5G) fronthaul optical network, which merges facilities of QKD into the architecture of existing 5G fronthaul network, enabling quantum signals to be transmitted with classical signals within the same fiber. Secondly, theoretical model analysis of interference with quantum signals caused by four wave mixing noise is performed. Moreover, the theory of secure key rate calculation under noise interference is introduced. Lastly, the QKD performance in the proposed architecture is evaluated, which leads to the conclusion that even when the quantity of B5G fronthaul optical channels for classical signals reaches up to 12, the secure transmission distance of QKD is still beyond 20km, which satisfies the demand of B5G fronthaul optical network.

Keywords

Quantum key distribution, Noise analysis, B5G optical network

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Cite this article

Kuang,Y. (2023).Modelling and Analysis of Quantum Security Architecture for B5G Fronthaul Network.Theoretical and Natural Science,2,142-147.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2022)

Conference website: https://www.confciap.org/
ISBN:978-1-915371-13-3(Print) / 978-1-915371-14-0(Online)
Conference date: 4 August 2022
Editor:Michael Harre, Marwan Omar, Roman Bauer
Series: Theoretical and Natural Science
Volume number: Vol.2
ISSN:2753-8818(Print) / 2753-8826(Online)

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