Efficient Network-Wide Broadcasting Over LTE Networks
    52.
    发明申请
    Efficient Network-Wide Broadcasting Over LTE Networks 有权
    LTE网络上的高效网络广播

    公开(公告)号:US20160270031A1

    公开(公告)日:2016-09-15

    申请号:US15066340

    申请日:2016-03-10

    Abstract: A system and method for network-wide broadcasting, including identifying interference dependencies between base stations (eNBs) to generate one or more single frequency network (SFN) clusters for one or more broadcast sessions. The generating of SFN clusters includes performing a controlled decrease in transmit diversity gain for each of the sessions by progressively creating smaller SFN clusters, iteratively creating the smaller SFN clusters until a target modulation and coding scheme (MCS) threshold is met to generate a plurality of SFN clusters, and selecting an SFN cluster with a maximum common MCS for all SFN clusters in a set. Resource block (RB) allocation is integrated with the generating of the SFN clusters to determine maximum system utility, and the system utility considers the sum of the utilities of broadcast and unicast flows. Network-wide broadcasting is controlled based on the determined maximum system utility.

    Abstract translation: 一种用于网络广播的系统和方法,包括识别基站(eNB)之间的干扰依赖关系,以生成一个或多个广播会话的一个或多个单频网络(SFN)集群。 SFN簇的生成包括通过逐渐创建更小的SFN簇来迭代地创建更小的SFN簇来执行每个会话的发射分集增益的受控降低,直到满足目标调制和编码方案(MCS)阈值以产生多个 SFN集群,并为集合中的所有SFN集群选择具有最大公共MCS的SFN集群。 资源块(RB)分配与生成SFN集群集成以确定最大系统效用,系统实用程序考虑广播和单播流的实用程度之和。 基于确定的最大系统效用来控制全网广播。

    INTELLIGENT WIFI-OFFLOADING FOR NEXT-GENERATION MOBILE NETWORKS
    54.
    发明申请
    INTELLIGENT WIFI-OFFLOADING FOR NEXT-GENERATION MOBILE NETWORKS 有权
    用于下一代移动网络的智能无线上网

    公开(公告)号:US20150163716A1

    公开(公告)日:2015-06-11

    申请号:US14565032

    申请日:2014-12-09

    CPC classification number: H04W36/22 H04W8/082 H04W28/08 H04W36/14 H04W84/12

    Abstract: A system for traffic management between a WiFi network and an LTE network that includes a network interface assignment module for determining from an operator side of the WiFi network and the LTE network a set of WiFi Access Points (APs) and LTE base stations for each user that provides a least a highest quality of experience for each of the users using input strength for all users to potential WiFi access points and LTE base stations. The system may further include an interface switching service (ISS) module that includes a control logic and a network HTTP proxy for delivering network switching instructions to devices of users. The control logic receiving instructions from the NIA module and sending signal to the devices of the users to switch from WIFI and LTE networks through the LTE network based upon signal strength of the users.

    Abstract translation: 一种用于WiFi网络和LTE网络之间的用于流量管理的系统,包括用于从所述WiFi网络的运营商侧和所述LTE网络确定用于每个用户的一组WiFi接入点(AP)和LTE基站的网络接口分配模块 它为每个使用输入强度的用户提供最低质量的体验,所有用户都可以使用潜在的WiFi接入点和LTE基站。 该系统还可以包括接口切换服务(ISS)模块,该接口交换服务(ISS)模块包括控制逻辑和网络HTTP代理,用于将网络切换指令传递给用户的设备。 控制逻辑从NIA模块接收指令,并根据用户的信号强度向用户的设备发送信号,从WIFI和LTE网络切换到LTE网络。

    METHODS AND SYSTEMS FOR INTEGRATING BATCH SCHEDULING WITH EXTERNAL BEAMFORMING
    55.
    发明申请
    METHODS AND SYSTEMS FOR INTEGRATING BATCH SCHEDULING WITH EXTERNAL BEAMFORMING 有权
    用于外部束缚整合排料调度的方法和系统

    公开(公告)号:US20130121195A1

    公开(公告)日:2013-05-16

    申请号:US13676865

    申请日:2012-11-14

    CPC classification number: H04W72/085 H04W72/046

    Abstract: Methods and systems for simultaneous determination of channel resource allocations and beam vectors for uplink frames are disclosed. One method includes receiving batch information from client devices indicating amounts of data to be transmitted on the uplink by the client devices. Further, signal quality can be measured on channel resources for each of the client devices and for each of a plurality of beam vectors. Additionally, rate information for the channel resources for each of the client devices is determined based on signal quality measurements. Moreover, the method includes computing, based on the batch information and the rate information, utilities for allocations of the channel resources to the client devices and for the beam vectors for at least one uplink frame and selecting, based on the utilities, at least one of the beam vectors and at least one of the allocations for transmission of the data on the uplink frame(s).

    Abstract translation: 公开了用于同时确定用于上行链路帧的信道资源分配和波束向量的方法和系统。 一种方法包括从客户端设备接收指示客户端设备在上行链路上发送的数据量的批量信息。 此外,可以针对每个客户端设备和多个波束矢量中的每一个的信道资源测量信号质量。 此外,基于信号质量测量来确定用于每个客户端设备的信道资源的速率信息。 此外,该方法包括基于批量信息和速率信息计算用于向客户端设备分配信道资源的用途以及用于至少一个上行链路帧的波束向量的用途,并且基于该实用程序来选择至少一个 的波束矢量和用于在上行链路帧上传输数据的分配中的至少一个。

    Unmanned aerial vehicle network
    57.
    发明授权

    公开(公告)号:US11356172B2

    公开(公告)日:2022-06-07

    申请号:US16816605

    申请日:2020-03-12

    Abstract: Systems and methods implementing a multi-unmanned aerial vehicle (UAV) wireless communication network are provided. The system includes application UAVs that wirelessly provide applications. The system includes relay UAVs that connect the application UAVs to a ground station. The ground station connects to a wireless backhaul network. Processor devices determine mobility for the application UAVs based on application-specific objectives. The processor devices also determine mobility for the relay UAVs based on forming and maintaining the wireless backhaul network.

    NEAR REAL-TIME RECONSTRUCTION USING DRONES

    公开(公告)号:US20210311504A1

    公开(公告)日:2021-10-07

    申请号:US17220046

    申请日:2021-04-01

    Abstract: Systems and methods for automatically constructing a 3-dimensional (3D) model of a feature using a drone. The method includes generating a reconnaissance flight path that minimizes battery usage by the drone, and conducting a discovery flight that uses the reconnaissance flight path. The method further includes transmitting reconnaissance laser sensor data from the drone to a processing system for target identification, and selecting a target feature for 3D model construction based on the reconnaissance laser sensor data. The method further includes scanning the target feature using a laser sensor, transmitting laser sensor data for the target feature having a minimum point density from the drone to the processing system for 3D model construction, and constructing the 3D model from the minimum point density laser sensor data.

    READING PASSIVE WIRELESS TAGS USING COMMODITY DEVICES

    公开(公告)号:US20210294993A1

    公开(公告)日:2021-09-23

    申请号:US17202854

    申请日:2021-03-16

    Abstract: A method for product tagging is presented including emitting, by at least one RF backscatter transmitter, a dual-tone Radio Frequency (RF) signal embedded within a standardized RF signal on a frequency channel, reflecting and frequency shifting, by a passive RF backscatter tag associated with a product, the dual-tone RF signal to a different frequency channel, and reading, by at least one RF backscatter receiver, the product on the different frequency channel by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the dual-tone RF signal by the passive RF backscatter tag.

    Speculative scheduling in mobile networks

    公开(公告)号:US10582529B2

    公开(公告)日:2020-03-03

    申请号:US15915491

    申请日:2018-03-08

    Abstract: A system is provided for speculative scheduling that includes a base station having a processor. The processor computes an overall schedule for a set of clients. The overall schedule is formed from a set of speculative schedules, is configured to maximize unlicensed spectrum usage, and is computed by (a) determining a speculative schedule for each resource block from a set of resource blocks in a given sub-frame based on statistics determined for the clients individually and jointly, and (b) selecting, for formation into the overall schedule, (i) a particular resource block and (ii) the speculative schedule for the particular resource block, that yield the maximum incremental utility relative to already determined speculative schedules for other resource blocks in the set, based on criteria including uplink access statistics. The processor executes the overall schedule responsive to a completion of the speculative schedule determination for each resource block in the given sub-frame.

Patent Agency Ranking