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.
翻译:空间-地空综合网络(SAGIN)是第六代(6G)通信中最有希望的先进范例之一。SAGIN可以支持高数据率、低潜值和互连应用和服务无缝网络覆盖。然而,SAGIN的通信面临量子计算机能力不断增加的巨大安全威胁。幸运的是,用于在SAGIN建立安全通信的量子钥匙分配(QKD)可以提供信息理论安全。为了尽可能降低SAGIN的QKD部署费用,我们在本文件中提出利用随机程序为QKD与SAGIN相比的QKD分配资源计划。拟议计划是通过两个阶段的随机程序(SP)制定的,同时考虑安全要求和天气条件等不确定性。在广泛的实验下,结果清楚地表明,拟议的计划可以在各种安全要求和不可预测的天气条件下实现最佳部署费用。