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第十三届中国卫星导航年会

作者： Mengjiang Liu Liang Liu Lei Chao Tieqiang Liu Department of Satellite Navigation CETC 54th Institute School of Cyber Science and Technology Beihang University State Key Laboratory of Satellite Navigation System and Equipment Technology

Global Satellite Navigation System（GNSS） can provide accurate time and space information for Space-Ground Integrated Network（sgin） to support the application in various fields. However, GNSS has inherent vulnerability and cannot provide continuous and reliable positioning and timing services for sgin users. The quasi-GNSS augment system（QGAS） is used to provide positioning and timing enhancement services for sgin. QGAS distributes over a wide area, and the heterogeneity of the network poses a significant risk to the security management of the system. The traditional centralized network security technology is not suitable for QGAS. In view of the network spoofing threat of QGAS, a novel security management technology based on consortium blockchain for QGAS is proposed. The architecture and the workflow of the system are given. Security analysis show that the proposed framework can be used as an efficient way to ensure the reliability of PT information, supporting QGAS as a supplement and backup to GNSS. Together, they can provide sgin with accurate time and space information

关键词： sgin QGAS Security management Consortium blockchain

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Reinforcement Learning-Based Handover Strategy for Space-Ground Integration Network with Large-scale Constellations

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Journal of Communications and Information Networks 2022年第4期7卷 421-432页

作者： Xiao Jia Di Zhou Min Sheng Yan Shi Ningyuan Wang Jiandong Li State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China Institute of Telecommunication and Navigation Satellites China Academy of Space TechnologyBeijing 100000Chin

The space-ground integration network(sgin)with large-scale constellations has become an important topic of the next generation mobile communication technology,in which the handover technology between the satellite and the ground is the key technology to ensure the continuity of user ***,compared with the ground base station’s coverage of users,satellites have larger coverage and propagation delay,and large-scale constellations make multiple selectable service satellites above the same *** phenomena bring great challenges to the handover *** paper designs a reinforcement learning-based multi-attribute satellite-ground handover strategy(RLMSGHS)for sgin with large-scale ***,users are clustered with the attributes of location,speed,and bandwidth ***,the handover decision can be made based on the proposed RLMSGHS according to the attributes of received signal strength(RSS),speed,network bandwidth utilization and,handover ***,the simulation results demonstrate that the heavy decision-making burden caused by the large-scale growth of users in the sgin is significantly *** multi-attribute handover decision in the sgin is realized,which reduces the handover demand of users and improves the resource utilization rate of the sgin.

关键词： sgin large-scale constellations satelliteground handover cluster reinforcement learning

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