Systems and techniques for muting management in multi-cell coordination
    22.
    发明授权
    Systems and techniques for muting management in multi-cell coordination 有权
    多小区协调中的静默管理系统和技术

    公开(公告)号:US09265058B2

    公开(公告)日:2016-02-16

    申请号:US14169396

    申请日:2014-01-31

    Abstract: Systems and techniques for negotiated control of multipoint coordination. A first device (such as a central entity or base station) signals a second device regarding its desire to assert control over, or readiness to accept control by, the second device, with respect to coordinated radio transmission. The negotiation may include, for example, acceptance of control, rejection of control, specification of resources subject to or exempt from control, and priority-based decisions to override or refrain from overriding rejections. Coordinated transmission is then conducted based on the outcome of the negotiation.

    Abstract translation: 协调多点协调控制的系统和技术。 第一设备(例如中央实体或基站)向第二设备发信号通知其关于协调的无线电传输对第二设备的控制或准备接受第二设备的控制的愿望。 谈判可能包括例如接受控制,拒绝控制,规定受到或不受控制的资源的规定,以及基于优先级的决定,以覆盖或者避免重覆拒绝。 然后根据谈判的结果进行协调传输。

    CONFIGURATION OF A NEURAL NETWORK FOR A RADIO ACCESS NETWORK (RAN) NODE OF A WIRELESS NETWORK

    公开(公告)号:US20210385682A1

    公开(公告)日:2021-12-09

    申请号:US17310701

    申请日:2019-02-19

    Abstract: According to an example embodiment, a method may include receiving, by a controller from a radio access network (RAN) node within a wireless network, at least one of a neural network support information, and a measurement information that includes one or more measurements by the radio access network node or one or more measurements by a wireless device that is in communication with the radio access network node; determining, by the controller based on the at least one of the neural network support information and the measurement information, a configuration of a neural network for the radio access network node; an sending, by the controller to the radio access network node, neural network configuration information that indicates the configuration of the neural network for the radio access network node.

    Hardware Acceleration for Frequency Domain Scheduler in Wireless Networks

    公开(公告)号:US20210064423A1

    公开(公告)日:2021-03-04

    申请号:US16961722

    申请日:2018-01-11

    Abstract: Methods and apparatuses are provided for hardware acceleration for a frequency domain scheduler. An example method includes receiving an instruction from a processor core to process a job for determining an allocation of a set of resources to one or more users, the set of resources corresponding to a transmission layer in a transmission time interval; processing the job by determining which of the one or more users is to be allocated on each of the respective resources in the set based on a first array stored in a memory associated with a metric of each of one or more users for each of the resources in the set, and a second array stored in the memory associated with a buffer size of each of the one or more users; and in response to successfully completing the job, sending an indication of the determined allocation to the processor core.

    BEAM SELECTION ACCELERATOR FOR WIRELESS NODE SCHEDULER

    公开(公告)号:US20210028847A1

    公开(公告)日:2021-01-28

    申请号:US15733680

    申请日:2018-03-29

    Abstract: An apparatus includes abeam selection hardware accelerator for determining a set of beams to be used for data scheduling by a wireless node for a transmission time interval, the beam selection hardware accelerator being configured to: receive a beam information and information indicating an angular separation of beams for a set of selected beams; create a graph based on the beam information and the minimum angular separation; select a set of beams, out of a plurality of beams, as a maximum weight independent set of beams based on the created graph; and provide a notification of the selected set of beams.

    Scell selection and optimization for telecommunication systems

    公开(公告)号:US10673546B2

    公开(公告)日:2020-06-02

    申请号:US16143776

    申请日:2018-09-27

    Inventor: Anand Bedekar

    Abstract: UE-related measurements taken on a Pcell in a wireless communication system are formed into a set of data. The Pcell overlaps with Scell(s). The UE-related measurements on the P cell are for a specific UE in the Pcell. Using a ML algorithm applied to the set of data, achievable channel quality is predicted for the specific UE for each of the Scell(s). The predicted achievable channel qualities are output for the specific UE to be used for Scell selection. At a RAN node, the set of data is sent toward an S cell prediction module for the module to determine information suitable to enable Scell selection for the specific UE. The RAN node receives information from the module allowing the RAN node to inform the selected UE of Scell(s) to be used for Scell selection for the specific UE. A node may train the ML algorithm using UE-related measurements on the Pcell.

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