METHOD FOR MACHINE-LEARNING-BASED UPLINK CHANNEL ESTIMATION IN REFLECTIVE INTELLIGENT SYSTEMS

    公开(公告)号:US20250167835A1

    公开(公告)日:2025-05-22

    申请号:US18838552

    申请日:2022-02-22

    Abstract: An apparatus includes at least one processor; and at least one memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to: train a machine learning model to learn a configuration matrix that defines a reconfigurable intelligent surface; configure the reconfigurable intelligent surface for channel estimation during runtime, using the learned configuration matrix; perform channel estimation on an uplink channel using the reconfigurable intelligent surface; and reconfigure the reconfigurable intelligent surface after the channel estimation to improve coverage within the uplink channel.

Patent Agency Ranking