论文标题
空间空气地面集成网络中量子密钥分布（QKD）中的资源分配
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks
论文作者
论文摘要
太空空间集成网络（Sagin）是第六代（6G）通信中最有希望的高级范式之一。 Sagin可以为互连的应用程序和服务提供高数据速率，低延迟和无缝网络覆盖范围。但是，萨金的通信面临着量子计算机不断增长的能力的巨大安全威胁。幸运的是，量子密钥分布（QKD）用于在Sagin建立安全通信，即Sagin上的QKD可以提供信息理论安全性。为了最大程度地减少萨金与异质节点的QKD部署成本，在本文中，我们建议使用随机编程为Sagin上的QKD提出了一种资源分配方案。该计划是通过两阶段随机编程（SP）制定的，同时考虑了不确定性，例如安全要求和天气条件。在广泛的实验下，结果清楚地表明，在各种安全要求和不可预测的天气条件下，提出的计划可以实现最佳部署成本。
Space-air-ground integrated networks (SAGIN) are one of the most promising advanced paradigms in the sixth generation (6G) communication. SAGIN can support high data rates, low latency, and seamless network coverage for interconnected applications and services. However, communications in SAGIN are facing tremendous security threats from the ever-increasing capacity of quantum computers. Fortunately, quantum key distribution (QKD) for establishing secure communications in SAGIN, i.e., QKD over SAGIN, can provide information-theoretic security. To minimize the QKD deployment cost in SAGIN with heterogeneous nodes, in this paper, we propose a resource allocation scheme for QKD over SAGIN using stochastic programming. The proposed scheme is formulated via two-stage stochastic programming (SP), while considering uncertainties such as security requirements and weather conditions. Under extensive experiments, the results clearly show that the proposed scheme can achieve the optimal deployment cost under various security requirements and unpredictable weather conditions.
