Low earth orbit (LEO) satellites have a pivotal role in global data monitoring. However, one of the most challenges is load balancing between LEO satellite networks due to the frequent topology changes and uneven distribution of global ground users. Thus, we propose a channel-aware gradient fair association (CAGFA) strategy to maximize the aggregate weighted utility in a dynamic satellite environment. Specifically, we first determine the downloading and neighboring satellites by constructing an earth station (ES) time-share graph and a space-time topology graph, respectively. Then, the CAGFA strategy is designed to obtain the optimal satellite terminal association indicator, and intersatellite links (ISLs) collaborative offloading is used to achieve the traffic balance for the LEO satellite networks. Simulation results indicate that the proposed CAGFA strategy increases the weighted utility by 6.5% and the convergence by 34.7% compared with the root mean square propagation-based association (RMSPA) strategy.


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    Titel :

    Channel-Aware Gradient Fair Association for LEO Inter-Satellite Links


    Beteiligte:
    Fan, Xinyue (Autor:in) / Hu, Jiaojiao (Autor:in) / Cui, Yaping (Autor:in) / He, Peng (Autor:in) / Wu, Dapeng (Autor:in) / Wang, Ruyan (Autor:in)


    Erscheinungsdatum :

    2022-09-01


    Format / Umfang :

    2118249 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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