Resource cooperative scheduling algorithm for SAGIN

Hua Qu; Ting Luo; Jihong Zhao; Qiuyu Yu; Zhigang Han

doi:10.1117/12.2643611

9 October 2022 Resource cooperative scheduling algorithm for SAGIN

Hua Qu, Ting Luo, Jihong Zhao, Qiuyu Yu, Zhigang Han

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224626 (2022) https://doi.org/10.1117/12.2643611
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

Resource scheduling technology as an important means to achieve the optimal allocation of SAGIN resources, plays a vital role in Earth observation, emergency communications and other fields, through the in-depth understanding and analysis of the research status of the integrated network resource scheduling field, the current resource scheduling technology is not yet perfect, it is difficult to meet the multi-satellite collaboration, network topology real-time changes, massive users as the characteristics of the scheduling needs. Starting from the research point of multi-dimensional resources, this paper considers the synergy between resources, proposes a multi-dimensional resource vector model, and on this basis proposes a multi-dimensional resource collaborative optimization scheduling algorithm to achieve unified scheduling from the global perspective. In the simulation experiment, it is proved that the indicators such as the number of task completions, total tasks revenues, average revenue and scheduling decision-making time can be effectively improved, among which the number of task completions is increased by 10%-30%, the total tasks revenue is increased by 30%-60%, and the scheduling decision-making time is saved by about 30%.

Citation Download Citation

Hua Qu, Ting Luo, Jihong Zhao, Qiuyu Yu, and Zhigang Han "Resource cooperative scheduling algorithm for SAGIN", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224626 (9 October 2022); https://doi.org/10.1117/12.2643611

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