This paper introduces a novel over-the-air computation method that utilizes low-complexity transmissive intelligent surfaces (TISs) for neural network inference. It is demonstrated that the signal propagation model through TIS closely resembles the fully connected layer of neural networks. And through training, the TIS phase shifts can be determined to perform a specific computation on radio-frequency (RF) signals. Considering the practical constraints of TIS designs with continuous phase shifts in millimeter-wave (mmWave) frequency, we propose a novel discretized complex-valued neural network structure and a training method suitable for low-complexity 1-bit and 2-bit TIS-based neural network layers. It is shown through simulation that the proposed method achieves high accuracy on an image classification task even for 1-bit or 2-bit TISs.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Radio-Frequency-Based Fully Connected Layer using 1-Bit and 2-Bit Transmissive Intelligent Surfaces


    Beteiligte:
    Zhang, Jingyuan (Autor:in) / Chen, Haige (Autor:in) / Blough, Douglas M. (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    1794279 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Radio-Frequency-Based 2-D Convolutional Layer using Transmissive Intelligent Surfaces

    Zhang, Jingyuan / Chen, Haige / Blough, Douglas M. | IEEE | 2024


    Low-Complexity DoA Estimation using Transmissive Intelligent Surfaces

    Zhang, Jingyuan / Tai, Ching-Lun / Sivakumar, Raghupathy et al. | IEEE | 2024


    RADIO WAVE-TRANSMISSIVE COVER

    TSUBOI TOMOKATSU | Europäisches Patentamt | 2018

    Freier Zugriff


    RADIO WAVE TRANSMISSIVE COVER AND METHOD FOR SETTING PLATE THICKNESS OF RADIO WAVE TRANSMISSIVE COVER

    TOKUNAGA SEIYA / MAEDA HIDETO / ISOBE KENJI et al. | Europäisches Patentamt | 2018

    Freier Zugriff