Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks

• Published in: 2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) pp. 71 - 76
• Main Authors: Kaewpuang, Rakpong, Xu, Minrui, Niyato, Dusit, Yu, Han, Xiong, Zehui
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02-11-2022
• Subjects: Computational modeling; Costs; Programming; Quantum key distribution; resource allocation; Space-air-ground integrated networks; Stochastic processes; stochastic programming; Uncertainty
• ISSN: 2378-4873
• DOI: 10.1109/CAMAD55695.2022.9966894

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 everincreasing 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.