We investigate a new self-sustainable intelligent omni-surface (S-IOS) aided multi-user wireless network, where the S-IOS harvests the radio frequency energy from the signals transmitted by the access point (AP) and exploits the harvested energy to provide full-dimensional beamforming services for the users. We design a joint optimization problem of transmit beamforming at the AP, refraction/reflection beamforming at the S-IOS, and energy harvesting schedule at the S-IOS, to maximize the sum rate of the overall network. A computationally-efficient algorithm is developed to solve the problem. Numerical results demonstrate the significant importance of the S-IOS for spectral and energy efficient wireless communications.


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    Titel :

    Self-Sustainable Intelligent Omni-Surface Aided Multi-User Wireless Networks


    Beteiligte:
    Luo, Hao (Autor:in) / Lv, Lu (Autor:in) / Yang, Long (Autor:in) / Wu, Qingqing (Autor:in) / Ding, Zhiguo (Autor:in) / Al-Dhahir, Naofal (Autor:in) / Chen, Jian (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    941091 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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