Flexible Grant-Free Resource Configuration Signaling

    公开(公告)号:US20180295651A1

    公开(公告)日:2018-10-11

    申请号:US15868657

    申请日:2018-01-11

    Abstract: An embodiment method for grant-free resource configuration comprises configuring a first type of grant-free resource, wherein the first type of grant-free resource is cell-specific and is configured using broadcast signaling, and wherein the first type of grant-free resource is accessible to a UE without further configuration; and configuring a second type of grant-free resource, wherein the second type of grant-free resource is UE-specific and is configured using a combination of broadcast signaling and unicast/multicast signaling, and wherein the second type of grant-free resource is accessible to a UE only after the unicast/multicast configuration.

    SYSTEM AND METHOD FOR UPLINK GRANT-FREE TRANSMISSION SCHEME
    66.
    发明申请
    SYSTEM AND METHOD FOR UPLINK GRANT-FREE TRANSMISSION SCHEME 审中-公开
    用于上传无需传输方案的系统和方法

    公开(公告)号:US20160323911A1

    公开(公告)日:2016-11-03

    申请号:US15204751

    申请日:2016-07-07

    Abstract: A method embodiment includes implementing, by a base station (BS), a grant-free uplink transmission scheme. The grant-free uplink transmission scheme defines a first contention transmission unit (CTU) access region in a time-frequency domain, defines a plurality of CTUs, defines a default CTU mapping scheme by mapping at least some of the plurality of CTUs to the first CTU access region, and defines a default user equipment (UE) mapping scheme by defining rules for mapping a plurality of UEs to the plurality of CTUs.

    Abstract translation: 方法实施例包括由基站(BS)实现无授权的上行链路传输方案。 无授权的上行链路传输方案定义时域中的第一争用传输单元(CTU)接入区,定义多个CTU,通过将多个CTU中的至少一些映射到第一个CTU来定义默认CTU映射方案 CTU接入区域,并且通过定义用于将多个UE映射到多个CTU的规则来定义默认用户设备(UE)映射方案。

    System and Method for Transmission Time Intervals
    67.
    发明申请
    System and Method for Transmission Time Intervals 有权
    传输时间间隔的系统和方法

    公开(公告)号:US20160249329A1

    公开(公告)日:2016-08-25

    申请号:US14630253

    申请日:2015-02-24

    Abstract: In one embodiment, a method for adaptive transmission time intervals (TTIs) includes transmitting, by a communications controller to a user equipment (UE), a segment of a first TDD TTI configuration of a first TDD interval and a second TDD TTI configuration of the first TDD interval, where the first TDD TTI configuration has a first pattern, where the second TDD TTI configuration has a second pattern, where the first pattern is different than the second pattern, where the first TDD TTI configuration has a first uplink TTI segment and a first downlink TTI segment. The method also includes transmitting a first plurality of data on a first TTI in the first downlink TTI segment of the first TDD TTI configurations of the first TDD interval and receiving a second plurality of data on the first uplink segment of the first TDD TTI configuration of the first TDD interval.

    Abstract translation: 在一个实施例中,一种用于自适应传输时间间隔(TTI)的方法包括由通信控制器向用户设备(UE)发送第一TDD间隔的第一TDD TTI配置和第二TDD TTI配置的第 第一TDD间隔,其中第一TDD TTI配置具有第一模式,其中第二TDD TTI配置具有第二模式,其中第一模式不同于第二模式,其中第一TDD TTI配置具有第一上行链路TTI段,以及 第一下行链路TTI段。 该方法还包括在第一TDD间隔的第一TDD TTI配置的第一下行链路TTI段中的第一TTI上发送第一多个数据,并且在第一TDD TTI配置的第一TDD TTI配置的第一上行链路段上接收第二多个数据 第一个TDD间隔。

    APPARATUS AND METHODS FOR MULTI-STAGE MACHINE LEARNING WITH CASCADED MODELS

    公开(公告)号:US20250037032A1

    公开(公告)日:2025-01-30

    申请号:US18914908

    申请日:2024-10-14

    Abstract: Data heterogeneity has been shown to reduce the convergence speed and model accuracy in existing federated learning (FL) and distributed learning (DL) based artificial intelligence or machine learning (AI/ML) model training processes. In some embodiments, a group of devices participating in an FL or DL based AI/ML model training process is divided into clusters, e.g., based on similarities in their data class distributions, and each device is configured with a cascaded AI/ML model that includes a first AI/ML sub-model and a second AI/ML sub-model that are cascaded. For each device, one of the cascaded sub-models is a common AI/ML sub-model that is common to all devices in the group, and the other sub-model is a cluster-specific AI/ML sub-model that is common to the cluster that the device has been assigned to within the group of devices. A multi-stage training process for the cascaded AI/ML model is also provided.

    Systems and methods for power saving in a wireless communication system

    公开(公告)号:US12177780B2

    公开(公告)日:2024-12-24

    申请号:US17237601

    申请日:2021-04-22

    Abstract: The power requirements of user equipments (UEs) are expected to increase as their capabilities increase. Some power saving methods have previously been proposed, but are limited by the radio resource control (RRC) protocol and do not address the power consumption associated with having to transition between different RRC states. In some embodiments described herein, there are not different RRC states, but instead a single RRC state. Within that single RRC state, there are different modes of operation, e.g. a default low power operation mode and an enhanced power operation mode. In some embodiments, the UE switches from the default operation mode to the enhanced operation mode on an on-demand basis (e.g. based on the communication capability required by the UE), and then returns back to the default operation mode.

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