Massive MIMO is a key technology for high quality to improve the spectral efficiency of wireless communications. However, it is limited by high cost and power consumption. Inspired by the low-cost property of Reconfigurable Intelligent Surfaces(RIS), we propose a location-based beamforming de-sign for a multi-layer RIS structure-assisted MIMO to realize high gain at a low cost. Specifically, by leveraging the user's location data, we collaboratively optimize the active precoding at the transmitter and the passive precoding at the RIS to achieve the corresponding beam response output. Given the non- convex nature of the optimization issue, we employ the alternate minimization (AltMin) technique. The limitations of computing power may prevent real-time fulfillment of requirements, thus we propose an offline algorithm for beam rotation and beam superposition based on the reference beam and the location information of the user. The simulation results demonstrate the superiority of our proposed location-based beamforming design in multi-layer RIS-assisted MIMO communications.


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    Title :

    Location-Based Beamforming Design for Multi-Layer RIS Assisted MIMO


    Contributors:
    Zhang, Hanbing (author) / Wang, Jian (author) / Li, Ying (author)


    Publication date :

    2024-06-24


    Size :

    2799136 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English