In recent years, the Integrated Satellite Aerial Terrestrial (I-SAT) network has emerged as an innovative and comprehensive communication system and has gained wide attention. However, in the face of a complex external environment, it will still be affected by other factors. This paper considers the integration of Unmanned Aerial Vehicle (UAV) with Reconfigurable Intelligent Surfaces (RIS) and introduces a novel sub-connected active RIS architecture under the energy consumption constraints of the system. Firstly, a joint RIS phase shift, amplification, and UAV trajectory optimization algorithm is proposed to achieve a high achievable sum rate. Secondly, a Deep Deterministic Policy Gradient (DDPG) algorithm is utilized to solve the optimization problem and converge in a continuous action space. Finally, simulation results confirm that the proposed approach significantly enhances the system performance compared to the other schemes.


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    Titel :

    Optimization scheme of active reconfigurable intelligent surface assisted Internet of Vehicles system


    Beteiligte:
    Mou, Weihua (Herausgeber:in) / Xu, Zhuoran (Autor:in) / Ni, Yiyang (Autor:in) / Sun, Wenxue (Autor:in) / Liu, Yaxuan (Autor:in) / Mo, Zhaoying (Autor:in) / Zhao, Haitao (Autor:in)

    Kongress:

    International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024) ; 2024 ; Hohhot, China


    Erschienen in:

    Proc. SPIE ; 13394


    Erscheinungsdatum :

    30.12.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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