中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

116 records (took 0.031 seconds)

    MULTI-CARRIER CONNECTION MANAGEMENT FOR BANDWIDTH AGGREGATION
    41.
    发明申请
    MULTI-CARRIER CONNECTION MANAGEMENT FOR BANDWIDTH AGGREGATION 审中-公开
    用于带宽聚合的多载波连接管理

    公开(公告)号：US20150163848A1

    公开(公告)日：2015-06-11

    申请号：US14479270

    申请日：2014-09-06

    Applicant: QUALCOMM Incorporated

    Inventor： Yih-Hao LIN ,  Ruoheng LIU ,  June NAMGOONG ,  Srikant JAYARAMAN

    IPC: H04W76/04 ,  H04B7/185 ,  H04W72/04

    CPC classification number: H04B7/18506 ,  H04B7/185 ,  H04L5/0037 ,  H04W84/047 ,  H04W88/04

    Abstract: The connection management entity apparatus determines a set of modems within coverage of a particular area. Each modem of the set of modems is associated with a particular aircraft and one carrier of a plurality of carriers. The apparatus allocates subsets of modems to each eNB of a set of eNBs. The allocation allows each eNB to communicate with the allocated subset of modems. Each eNB operates on a different carrier. The apparatus may be a eNB. The eNB determines a set of modems within coverage of the eNB. The set of modems is associated with one carrier of a plurality of carriers. The eNB operates on the one carrier. Each modem in the set of modems is associated with a different aircraft. The eNB sends information indicating the set of modems and receives an allocation of a second set of modems in response to the sent information.

    Abstract translation: 连接管理实体装置确定特定区域的覆盖范围内的一组调制解调器。 该组调制解调器的每个调制解调器与特定飞行器和多个载波的一个载波相关联。 该装置将调制解调器的子集分配给一组eNB的每个eNB。 该分配允许每个eNB与分配的调制解调器子集进行通信。 每个eNB在不同的运营商上运行。 该装置可以是eNB。 eNB确定eNB覆盖范围内的一组调制解调器。 该组调制解调器与多个载波的一个载波相关联。 eNB在一个载波上运行。 调制解调器组中的每个调制解调器与不同的飞机相关联。 eNB发送指示调制解调器集合的信息，并响应所发送的信息接收第二组调制解调器的分配。

    TECHNIQUES FOR USING RELAY AVERAGING IN FEDERATED LEARNING
    46.
    发明公开
    TECHNIQUES FOR USING RELAY AVERAGING IN FEDERATED LEARNING 审中-公开

    公开(公告)号：US20240256898A1

    公开(公告)日：2024-08-01

    申请号：US18566014

    申请日：2021-09-01

    Applicant: QUALCOMM Incorporated

    Inventor： Yuwei REN ,  Huilin XU ,  June NAMGOONG

    IPC: G06N3/098

    CPC classification number: G06N3/098

    Abstract: Some aspects described herein relate to receiving, from each of multiple UEs in sidelink communications, a report of a model update for a federated learning model, generating, based on one or more parameters in the report of the model update received from each of the multiple UEs, a converged model update, and transmitting, to an upstream node, the converged model update. Other aspects relate to receiving, from a base station, an indication of a federated learning model, generating, for the federated learning model and based on a local training on the federated learning model, a model update to be applied to the federated learning model, and transmitting, to a relay UE in sidelink communication, a report of the model update.

    GAIN SCALING OF INPUT TO NEURAL NETWORK FOR END-TO-END LEARNING IN WIRELESS COMMUNICATION SYSTEM
    49.
    发明申请
    GAIN SCALING OF INPUT TO NEURAL NETWORK FOR END-TO-END LEARNING IN WIRELESS COMMUNICATION SYSTEM 有权

    公开(公告)号：US20230114870A1

    公开(公告)日：2023-04-13

    申请号：US17498651

    申请日：2021-10-11

    Applicant: QUALCOMM Incorporated

    Inventor： June NAMGOONG ,  Taesang YOO ,  Hyojin LEE ,  Naga BHUSHAN ,  Weiliang ZENG

    IPC: G06N3/08 ,  H04W24/10

    Abstract: A method of wireless communication by a user equipment (UE) includes receiving different sets of parameters from different sources as input to a receiver neural network. The method also includes receiving, from a base station, a set of target long-term energy values associated with the receiver neural network. The method further includes calculating a scaling factor for each of the different sets of parameters based on the set of target long-term energy values, and separately scaling each of the different sets of parameters based on the scaling factor calculated for that set in order to generate multiple sets of scaled parameters. The method still further includes transmitting the multiple sets of scaled parameters to the receiver neural network.

Patent Agency Ranking