E1 INTERFACE SETUP IN NG-RAN
    5.
    发明申请

    公开(公告)号:US20190297652A1

    公开(公告)日:2019-09-26

    申请号:US16393753

    申请日:2019-04-24

    Abstract: Systems and methods of setting up an E1 interface for a gNB are described. A transmitting entity of the gNB-CU-CP and gNB-CU-UP initiates the first TNL association between the gNB-CU-CP and gNB-CU-UP, and is also limited to initiating the E1 Setup procedure. The transmitting entity sends an E1 SETUP REQUEST message to set up the E1 interface. Afterwards, a message is received from the receiving entity. The transmitting entity determines that the setup of the E1 interface is successful if the message contains IEs of an E1 SETUP RESPONSE message. The types of IEs include a message type IE and a name of the transmitting entity.

    MANAGING BEARERS IN A RADIO ACCESS NETWORK
    6.
    发明申请

    公开(公告)号:US20190182211A1

    公开(公告)日:2019-06-13

    申请号:US16277658

    申请日:2019-02-15

    Abstract: Embodiments described herein relate to managing bearers in a radio access network (e.g., next generation RAN (NG-RAN), etc.). In one example, a central-unit control-plane (CU-CP) communicates with a distributed unit (DU) and a CU-UP to exchange transport network layer addresses (TNLAs) and tunnel endpoint identifiers (TEIDs) between the DU and the CU-UP. In this way, the DU becomes resistant to the CU-UP's rejection of a bearer setup request from the CU-CP during a bearer setup procedure. Furthermore, during virtual machine (VM) migration or local problems of the CU-UP, an E1 procedure known as “bearer relocate” can be defined to notify the DU of a new TNLA for one or more affected general packet radio service tunneling protocol (GTP) tunnels that are affected by the VM migration or local problems.

    Programmable Spatial Array for Matrix Decomposition

    公开(公告)号:US20230297538A1

    公开(公告)日:2023-09-21

    申请号:US18017077

    申请日:2020-09-25

    CPC classification number: G06F15/8092 G06F17/16

    Abstract: Programmable spatial array processing circuitry may be programmable to perform multiple different types of matrix decompositions. The programmable spatial array processing circuitry may include an array of processing elements. When programmed with a first instructions, the array performs a first type of matrix decomposition. When programmed with second instructions, the array performs a second type of matrix decomposition. Individual processing elements of the programmable spatial array processing circuitry may avoid having individual instruction memories. Instead, there may be an instruction memory that provides a portion of the first instructions or a portion of the second instructions sequentially to one processing element of a row of processing elements to sequentially propagate to other processing elements of the row of processing elements.

    Adaptive deep learning model for noisy image super-resolution

    公开(公告)号:US12299842B2

    公开(公告)日:2025-05-13

    申请号:US18637594

    申请日:2024-04-17

    Inventor: Wenyi Tang Xu Zhang

    Abstract: Embodiments described herein are generally directed to an end-to-end trainable degradation restoration network (DRN) that enhances the ability of a super-resolution (SR) subnetwork to deal with noisy low-resolution images. An embodiment of a method includes estimating, by a noise estimator (NE) subnetwork of the DRN, an estimated noise map for a noisy input image; and predicting, by the SR subnetwork of the DRN, a clean upscaled image based on the input image and the noise map by, for each of multiple conditional residual dense blocks (CRDBs) stacked within one or more cascade blocks representing the SR subnetwork, adjusting, by a noise control layer of the CRDB that follows a stacked set of a multiple residual dense blocks of the CRDB, feature values of an intermediate feature map associated with the input image by applying (i) a scaling factor and (ii) an offset factor derived from the noise map.

    Programmable spatial array for matrix decomposition

    公开(公告)号:US12235793B2

    公开(公告)日:2025-02-25

    申请号:US18017077

    申请日:2020-09-25

    Abstract: Programmable spatial array processing circuitry may be programmable to perform multiple different types of matrix decompositions. The programmable spatial array processing circuitry may include an array of processing elements. When programmed with a first instructions, the array performs a first type of matrix decomposition. When programmed with second instructions, the array performs a second type of matrix decomposition. Individual processing elements of the programmable spatial array processing circuitry may avoid having individual instruction memories. Instead, there may be an instruction memory that provides a portion of the first instructions or a portion of the second instructions sequentially to one processing element of a row of processing elements to sequentially propagate to other processing elements of the row of processing elements.

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