USER EQUIPMENT, BASE STATIONS, AND METHODS ALLOWING FOR HANDLING OF COLLIDING CHANNEL STATE INFORMATION REPORTS
    221.
    发明申请
    USER EQUIPMENT, BASE STATIONS, AND METHODS ALLOWING FOR HANDLING OF COLLIDING CHANNEL STATE INFORMATION REPORTS 有权
    用户设备,基站和方法,用于处理胶合通道状态信息报告

    公开(公告)号:US20130114455A1

    公开(公告)日:2013-05-09

    申请号:US13671404

    申请日:2012-11-07

    Abstract: Collision handling of channel state information (CSI) reports is described for enhanced inter-cell interference coordination (eICIC), coordinated multipoint transmission (CoMP), and/or carrier aggregation (CA). Various aspects include prioritization schemes to resolve collisions between different CSI reporting sets in relation to the same component carrier (CC) used with transmission. Multiple stages of prioritization may identify CSI for a report based on various criteria. Tie breaker criteria may be defined for priority among CSI reports that changes for different subframes. In other aspects, PUSCH is utilized to transmit CSI for prioritized reporting sets in a subframe. In yet other aspects, if parallel PUCCH is supported, colliding CSI may be handled on a per PUCCH basis. Other aspects may allow for prioritizing periodic CSI within each of multiple CCs, and then prioritizing over different CCs to handle an interaction of CSI reports for CA, eICIC and/or CoMP.

    Abstract translation: 描述了用于增强小区间干扰协调(eICIC),协同多点传输(CoMP)和/或载波聚合(CA)的信道状态信息(CSI)报告的冲突处理。 各方面包括优先化方案,以解决与传输使用的相同分量载波(CC)相关的不同CSI报告集之间的冲突。 基于各种标准的多个阶段的优先级可以识别报告的CSI。 可以针对CSI报告中针对不同子帧的更改的优先级定义断线器标准。 在其它方面,利用PUSCH在子帧中传送用于优先化报告集的CSI。 在其他方面,如果支持并行PUCCH,则可以在每个PUCCH的基础上处理冲突CSI。 其他方面可以允许在多个CC的每一个内对周期性CSI进行优先级排序,然后对不同的CC进行优先级排序以处理CA,eICIC和/或CoMP的CSI报告的交互。

    Group-common reference signal for over-the-air aggregation in federated learning

    公开(公告)号:US12261792B2

    公开(公告)日:2025-03-25

    申请号:US17898180

    申请日:2022-08-29

    Abstract: Aspects presented herein may enable a network entity to configure a group of UEs to simultaneously transmit reference signals and to simultaneously transmit gradient vectors to the network entity, such that the network entity may receive the gradient vectors from the group of UEs as an aggregated gradient vector over the air. In one aspect, a base transmits, to a group of UEs, a configuration that configures the group of UEs to simultaneously transmit one or more group-common reference signals and to simultaneously transmit one or more gradient vectors associated with a federated learning procedure. The network entity receives, from the group of UEs, the one or more group-common reference signals and the one or more gradient vectors based on the configuration via multiple channels. The network entity calculates an average gradient vector based on the one or more group-common reference signals and the one or more gradient vectors.

    Techniques for encoding and decoding a channel between wireless communication devices

    公开(公告)号:US12255714B2

    公开(公告)日:2025-03-18

    申请号:US17672525

    申请日:2022-02-15

    Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may encode channel state feedback (CSF) information to compress the CSF information to a first encoding output associated with a first dimensional space, and apply entropy coding to the first encoding output of the channel state feedback information. The entropy coding may transform the first encoding output to a second encoding output associated with a second dimensional space that is smaller than the first dimensional space of the first encoding output. The UE may transmit a CSF message comprising the second encoding output. A network device may receive the CSF message and apply entropy decoding to the compressed CSF information to partially decompress the compressed CSF information to a first decoding output. The network device may decode the first decoding output to completely decompress the compressed CSF information to a second decoding output.

    Systems and methods for positioning with channel measurements

    公开(公告)号:US12192947B2

    公开(公告)日:2025-01-07

    申请号:US16776871

    申请日:2020-01-30

    Abstract: Position determination of a user equipment (UE) is supported using channel measurements obtained for Wireless Access Points (WAPs), wherein the channel measurements are for Line of Sight (LOS) and Non-LOS (NLOS) signals. Based on WAP almanac information and the channel measurements, channel parameters indicative of positions of signal sources relative to a first position of a UE may be determined. Using the first position of the UE and an association of the signal sources with corresponding channel parameters, a second position of the UE may be determined. The position of the UE may be a probability density function. Additionally, position information for signal sources may be determined, such as a probability density function, as well as signal blockage probability and an antenna geometry and the WAP almanac information may be updated accordingly.

    Machine learning for addressing transmit (Tx) non-linearity

    公开(公告)号:US12156221B2

    公开(公告)日:2024-11-26

    申请号:US17181927

    申请日:2021-02-22

    Abstract: A method of wireless communication by a transmitting device transforms a transmit waveform by an encoder neural network to control power amplifier (PA) operation with respect to non-linearities. The method also transmits the transformed transmit waveform across a propagation channel. A method of wireless communication by a receiving device receives a waveform transformed by an encoder neural network. The method also recovers, with a decoder neural network, the encoder input symbols from the received waveform. A transmitting device for wireless communication calculates distortion error based on a non-distorted digital transmit waveform and a distorted digital transmit waveform. The transmitting device also compresses the distortion error with an encoder neural network of an auto-encoder. The transmitting device transmits to a receiving device the compressed distortion error to compensate for power amplifier (PA) non-linearity.

    Signaling for additional training of neural networks for multiple channel conditions

    公开(公告)号:US12101206B2

    公开(公告)日:2024-09-24

    申请号:US17385659

    申请日:2021-07-26

    CPC classification number: H04L25/0254 G06N3/045 G06N3/08 H04B17/336

    Abstract: A method of wireless communication by a user equipment (UE) includes receiving, from a base station, a configuration to train a neural network for multiple different signal to noise ratios (SNRs) of a channel estimate for a wireless communication channel. The method also includes determining a current SNR of the channel estimate is above a first threshold value. The method further includes training the neural network based on the channel estimate, to obtain a first trained neural network. The method still further includes perturbing the channel estimate to obtain a perturbed channel estimate, and training the neural network based on the perturbed channel estimate, to obtain a second trained neural network. The method includes reporting, to the base station, parameters of the first trained neural network along with the channel estimate, and parameters of the second trained neural network.

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