CONVERGENCE PROXY FOR CORE NETWORK VIRTUALIZATION
    51.
    发明申请
    CONVERGENCE PROXY FOR CORE NETWORK VIRTUALIZATION 审中-公开
    核心网络虚拟化的收敛代理

    公开(公告)号:WO2018035177A3

    公开(公告)日:2018-02-22

    申请号:PCT/US2017/047038

    申请日:2017-08-15

    Abstract: A gateway situated between the RAN and the core network may provide 2G/3G/4G/Wi-Fi convergence for nodes in a network on a plurality of radio access technologies. In some embodiments, a convergence gateway is described that allows for legacy radio access network functions to be provided by all-IP core network nodes. A multi-RAT gateway provides 2G/3G Iuh to IuPS interworking, IuCS to VoLTE interworking via a VoLTE proxy, IuPS and 4G data local breakout or S1-U interworking, and 2G A/IP and Gb/IP to VoLTE and S1-U/local breakout interworking. The multi-RAT gateway may thereby support all voice calls via VoLTE, and all data over S1 or local breakout, including VoLTE. The multi-RAT gateway may provide self-organizing network (SON) capabilities for all RATs. A multi-RAT base station may provide 2G and 3G front-end interworking to Iuh.

    Abstract translation: 位于RAN和核心网络之间的网关可以为多个无线接入技术中的网络中的节点提供2G / 3G / 4G / Wi-Fi融合。 在一些实施例中,描述了允许由全IP核心网络节点提供传统无线电接入网络功能的汇聚网关。 多RAT网关通过VoLTE代理,IuPS和4G数据本地突破或S1-U互通以及2G A / IP和Gb / IP向VoLTE和S1-U提供2G / 3G Iuh到IuPS互通,IuCS到VoLTE互通 /本地突破互通。 由此,多RAT网关可以支持通过VoLTE的所有语音呼叫,以及通过S1或本地分支的全部数据,包括VoLTE。 多RAT网关可以为所有RAT提供自组织网络(SON)能力。 多RAT基站可以为Iuh提供2G和3G前端互通。

    CONVERGENCE PROXY FOR CORE NETWORK VIRTUALIZATION

    公开(公告)号:WO2018035177A2

    公开(公告)日:2018-02-22

    申请号:PCT/US2017/047038

    申请日:2017-08-15

    Abstract: A gateway situated between the RAN and the core network may provide 2G/3G/4G/Wi-Fi convergence for nodes in a network on a plurality of radio access technologies. In some embodiments, a convergence gateway is described that allows for legacy radio access network functions to be provided by all-IP core network nodes. A multi-RAT gateway provides 2G/3G Iuh to IuPS interworking, IuCS to VoLTE interworking via a VoLTE proxy, IuPS and 4G data local breakout or S1-U interworking, and 2G A/IP and Gb/IP to VoLTE and S1-U/local breakout interworking. The multi-RAT gateway may thereby support all voice calls via VoLTE, and all data over S1 or local breakout, including VoLTE. The multi-RAT gateway may provide self-organizing network (SON) capabilities for all RATs. A multi-RAT base station may provide 2G and 3G front-end interworking to Iuh.

    ELASTIC SCHEDULING
    53.
    发明申请
    ELASTIC SCHEDULING 审中-公开
    弹性调度

    公开(公告)号:WO2017075625A1

    公开(公告)日:2017-05-04

    申请号:PCT/US2016/059799

    申请日:2016-10-31

    Abstract: A method for scheduling resources in a network where the scheduling activity is split across two nodes in the network is disclosed, comprising: receiving, from a local scheduler in a first radio access network, access network information at a global scheduler; accessing information regarding a second radio access network allocating, at the global scheduler, resources for secondary allocation by the local scheduler; applying a hash function to map the allocated resources for secondary allocation to a set of hash values; and sending, from the global scheduler, the set of hash values to the local scheduler.

    Abstract translation: 公开了一种用于在网络中调度资源的方法,其中调度活动在网络中的两个节点之间被分割,包括:从第一无线电接入网络中的本地调度器接收在 全球调度程序; 访问关于第二无线电接入网络的信息,在全局调度器处分配由本地调度器进行二次分配的资源; 应用散列函数将分配的资源映射到一组散列值以进行二次分配; 并从全局调度器将该组散列值发送到本地调度器。

    SIM WHITELISTING AND MULTI-OPERATOR CORE NETWORKS
    54.
    发明申请
    SIM WHITELISTING AND MULTI-OPERATOR CORE NETWORKS 审中-公开
    SIM白名单和多操作核心网络

    公开(公告)号:WO2016172391A1

    公开(公告)日:2016-10-27

    申请号:PCT/US2016/028718

    申请日:2016-04-21

    CPC classification number: H04W48/02 H04W12/06 H04W84/042

    Abstract: A method may be disclosed in accordance with some embodiments, comprising: receiving, at a virtualizing gateway between the eNodeB and a first core network, a service request from a first user equipment (UE) via an eNodeB; applying a filter to an identifier of the UE to authenticate the UE; and forwarding, based on the applied filter, the service request from the first UE to the first core network. The identifier may be an international mobile subscriber identity (IMSI). The filter may be a whitelist containing a plurality of IMSIs to be granted service or a blacklist containing a plurality of IMSIs to be denied service, the service request may be a Long Term Evolution (LTE) attach request, and the method may further comprise forwarding the message from the first UE to a first mobility management entity (MME) in the first core network.

    Abstract translation: 可以根据一些实施例公开一种方法,包括:在所述eNodeB和第一核心网之间的虚拟化网关处,经由eNodeB从第一用户设备(UE)接收服务请求; 将过滤器应用于所述UE的标识符以认证所述UE; 以及基于应用的过滤器转发从第一UE到第一核心网的服务请求。 该标识符可以是国际移动用户标识(IMSI)。 该过滤器可以是包含要授予服务的多个IMSI或包含要被拒绝服务的多个IMSI的黑名单的白名单,该服务请求可以是长期演进(LTE)附加请求,并且该方法还可以包括转发 从第一UE到第一核心网中的第一移动性管理实体(MME)的消息。

    METHODS OF INCORPORATING AN AD HOC CELLULAR NETWORK INTO A FIXED CELLULAR NETWORK
    55.
    发明申请
    METHODS OF INCORPORATING AN AD HOC CELLULAR NETWORK INTO A FIXED CELLULAR NETWORK 审中-公开
    将一个特殊的细胞网络纳入一个固定的细胞网络的方法

    公开(公告)号:WO2014127366A3

    公开(公告)日:2014-10-16

    申请号:PCT/US2014016938

    申请日:2014-02-18

    Abstract: In this invention, we disclose methods directed toward integrating an ad hoc cellular network into a fixed cellular network. The methods disclosed herein automate the creation and integration of these networks. In additional embodiments, we disclose methods for establishing a stand-alone, ad hoc cellular network. In either of these implementations, we integrate or establish an ad hoc cellular network using mobile ad hoc cellular base stations configured to transmit and receive over a variety of frequencies, protocols, and duplexing schemes. The methods flexibly and dynamically choose an access or backhaul configuration and radio characteristics to optimize network performance. Additional embodiments provide for enhancing an existing network's coverage as needed, establishing a local network in the event of a loss of backhaul coverage to the core network, and providing local wireless access service within the ad hoc cellular network.

    Abstract translation: 在本发明中,我们公开了将自组织蜂窝网络集成到固定蜂窝网络中的方法。 这里公开的方法使这些网络的创建和整合自动化。 在另外的实施例中,我们公开了用于建立独立的自组织蜂窝网络的方法。 在这些实现中的任一个中,我们使用配置为通过各种频率,协议和双工方案发送和接收的移动自组织蜂窝基站来集成或建立特设蜂窝网络。 这些方法灵活而动态地选择接入或回程配置和无线电特性来优化网络性能。 附加实施例提供了根据需要增强现有网络的覆盖范围,在到核心网络的回程覆盖丢失的情况下建立本地网络,并且在自组织蜂窝网络内提供本地无线接入服务。

    HETEROGENEOUS SELF-ORGANIZING NETWORK FOR ACCESS AND BACKHAUL
    56.
    发明申请
    HETEROGENEOUS SELF-ORGANIZING NETWORK FOR ACCESS AND BACKHAUL 审中-公开
    用于访问和回程的异构自组织网络

    公开(公告)号:WO2014052436A3

    公开(公告)日:2014-05-22

    申请号:PCT/US2013061656

    申请日:2013-09-25

    CPC classification number: H04W24/02 H04W36/32 H04W64/006 H04W84/18

    Abstract: This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor receives an environmental condition for a mesh network. The processor may have measured the environmental condition, or it could have received it from elsewhere, e.g., internally stored information, a neighboring node, a server located in a computing cloud, a network element, user equipment ("UE"), and the like. After receiving the environmental condition, the processor evaluates it and determines whether an operational parameter within the mesh network should change to better optimize network performance.

    Abstract translation: 该申请公开了用于创建在异构网状网络上实现的自组织网络的方法。 自组织网络可以包括耦合到异构网状网络的计算云组件。 在这里公开的方法和计算机可读介质中,处理器接收网状网络的环境条件。 处理器可能已经测量了环境条件,或者它可能已经从别处接收到它,例如内部存储的信息,相邻节点,位于计算云中的服务器,网络元件,用户设备(“UE”)以及 喜欢。 在接收到环境条件后,处理器对其进行评估,并确定网状网络中的操作参数是否应该改变以更好地优化网络性能。

    Backhaul Estimation Scheduling
    57.
    发明申请

    公开(公告)号:WO2021188847A1

    公开(公告)日:2021-09-23

    申请号:PCT/US2021/023049

    申请日:2021-03-18

    Abstract: Methods and computer software are disclosed for providing backhaul bandwidth estimation for a network. In one embodiment a method is disclosed, comprising: performing active measurements of a maximum achievable bandwidth for the network; determining an uplink direction bandwidth estimation for the network; determining a downlink direction bandwidth estimation for the network; and determining, using the uplink direction bandwidth estimation and the downlink direction estimation bandwidth, a bandwidth estimation conclusion for the network.

    MACHINE LEARNING FOR CHANNEL ESTIMATION
    58.
    发明申请

    公开(公告)号:WO2020091842A3

    公开(公告)日:2020-05-07

    申请号:PCT/US2019/033174

    申请日:2019-05-20

    Abstract: Performing training using superimposed pilot subcarriers to determine training data. Training that includes starting with a training duration (T) equal to a number of antennas (M) and running a Convolutional Neural Network (CNN) model using training samples to determine if a testing variance meets a predefined threshold. When the testing variance meets a predefined threshold, then reducing T by one half and repeating the running Convolutional Neural Network (CNN) model until the testing variance fails to meet the predefined threshold. When the testing variance fails to meet the predefined threshold, then multiplying T by two and using the new value of T as the new training duration to be used. Generating a run-time model based on the training data, updating the run-time model with new feedback data received from a User Equipment (UE), producing a DL channel estimation and an optimal precoding matrix from the DL channel estimation.

    MACHINE LEARNING FOR CHANNEL ESTIMATION
    59.
    发明申请

    公开(公告)号:WO2020091842A2

    公开(公告)日:2020-05-07

    申请号:PCT/US2019/033174

    申请日:2019-05-20

    Abstract: Systems and methods are disclosed for performing training using superimposed pilot subcarriers to determine training data. The training includes starting with a training duration (T) equal to a number of antennas (M) and running a Convolutional Neural Network (CNN) model using training samples to determine if a testing variance meets a predefined threshold. When the testing variance meets a predefined threshold, then reducing T by one half and repeating the running Convolutional Neural Network (CNN) model until the testing variance fails to meet the predefined threshold. When the testing variance fails to meet the predefined threshold, then multiplying T by two and using the new value of T as the new training duration to be used. Generating a run-time model based on the training data, updating the run-time model with new feedback data received from a User Equipment (UE), producing a DL channel estimation from the run-time model; and producing an optimal precoding matrix from the DL channel estimation.

    DATA PIPELINE FOR SCALABLE ANALYTICS AND MANAGEMENT

    公开(公告)号:WO2019157399A1

    公开(公告)日:2019-08-15

    申请号:PCT/US2019/017381

    申请日:2019-02-08

    Abstract: Systems and methods are disclosed for performing computations on data at an intelligent data pipe en route to a data store. In one embodiment, a method is disclosed, comprising: receiving metadata regarding a data stream from a data source; performing an analysis of the metadata at a service orchestrator; creating at least one container instance based on the analysis; streaming the data stream from the data source to a data sink via the at least one container; and processing the data stream as it passes through the at least one container instance, thereby enabling application-aware processing of data streams in real time prior to arrival at the data store.

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