Active reconfigurable intelligent surface (RIS) acts as an enhancement of signal transmitted by the base station (BS) to overcome the effects of multiplicative fading and provide communication services for users. In this paper, we investigate an active RIS-assisted integrated sensing and communication (ISAC) system in which the BS senses the target in the presence of interference and establishes communication with multiple users assisted by the RIS. The optimization problem is formulated to jointly design the BS’s sensing transceiver beamforming, communication beamforming, and the RIS’s reflection coefficients to maximize the sensing SINR while satisfying the communication SINR requirements of users. An algorithm based on the ideas of quadratic transformation (QT), Karush-Kuhn-Tucker (KKT) conditions, semidefinite relaxation (SDR), and alternating optimization (AO) is designed to transform and solve the non-convex problem optimally. Simulation results verify the effectiveness and superiority of active RIS-assisted ISAC systems in improving sensing performance with communication SINR constraints.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Active RIS-Assisted Integrated Sensing and Communication Systems: Joint Receive-Transmit Beamforming and Reflection Design


    Beteiligte:
    Zhang, Yuantong (Autor:in) / Lin, Junzhe (Autor:in) / Zhao, Yifeng (Autor:in) / Huang, Lianfen (Autor:in) / Gao, Zhibin (Autor:in) / Xu, Guozhen (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    320586 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Joint Transmit and Receive Beamforming Design for a Full Duplex UAV Sensing Network

    Lulu Wang / Xue Li / Yinsen Zhang | DOAJ | 2025

    Freier Zugriff


    Deep Learning-Based Joint Transmit Beamforming for Integrated Sensing and Communication System

    Yang, Ruming / Zhu, Zhiming / Zhang, Jiexin et al. | IEEE | 2024


    Training-Based Adaptive Transmit–Receive Beamforming for MIMO Radars

    Shaghaghi, Mahdi / Adve, Raviraj S. / Shehata, George | IEEE | 2017


    A ternary programmable dispersion matrix for receive/transmit optical beamforming

    Black, B. A. / Granieri, S. C. / Jaeger, M. et al. | British Library Conference Proceedings | 2003