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A large-scale LEO satellite network topology generation method based on physical-logical semantic decoupling
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Authors: Minghui Yv, Caihong Cao, Hui Xv, Zhimi Cheng
Status: Final
Date of publication: 30 September 2026
Published in: ITU Journal on Future and Evolving Technologies, Volume 7 (2026), Issue 3, Pages 325-339
Article DOI : https://doi.org/10.52953/CMJS9431
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Abstract:
The generation of Low Earth Orbit (LEO) satellite network topology is fundamental to inter-satellite communication and space computing. Existing methods generally construct topologies based on instantaneous geometric constraints and fixed thresholds, which may cause frequent temporal fluctuations in network topology and fail to satisfy structural continuity requirements of space computing scenarios. To address this issue, this paper proposes a large-scale LEO satellite network topology generation method based on physical-logical semantic decoupling. First, orbital planes are identified through regular Right Ascension of Ascending Node (RAAN) lattices' assignment. Then, a two-phase topology generation strategy is introduced to reconstruct the regular topology structure. By explicitly decoupling the physical and logical semantics of links, the proposed method generates two topology representations: a strict mode containing only physically feasible links and a hybrid mode integrating logical links for structural continuity, corresponding to real-time communication and space computing applications, respectively. Experimental results demonstrate that the proposed method significantly improves temporal stability and structural integrity compared with K-Nearest Neighbour (KNN) and geometry-aware grid baselines while maintaining physical feasibility. Compared with the strict mode, the hybrid mode achieves better structural continuity, connectivity, and downstream task suitability, providing a more stable topology foundation for task scheduling, federated learning, and dynamic graph learning in space computing networks. |
Keywords: Dynamic graphs, inter-satellite networks, network stability, space computing, topology generation
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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