公开(公告)号：US10159022B2

公开(公告)日：2018-12-18

申请号：US15208471

申请日：2016-07-12

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nimal Gamini Senarath ,  Ho Ting Cheng ,  Hang Zhang ,  Alex Stephenne

IPC: H04W36/00

Abstract: Predicting mobile station migration between geographical locations of a wireless network can be achieved using a migration probability database. The database can be generated based on statistical information relating to the wireless network, such as historical migration patterns and associated mobility information (e.g., velocities, bin location, etc.). The migration probability database consolidates the statistical information into mobility prediction functions for estimating migration probabilities/trajectories based on dynamically reported mobility parameters. By example, mobility prediction functions can compute a likelihood that a mobile station will migrate between geographic regions based on a velocity of the mobile station. Accurate mobility prediction may improve resource provisioning efficiency during admission control and path selection, and can also be used to dynamically adjust handover margins.

公开(公告)号：US10091675B2

公开(公告)日：2018-10-02

申请号：US13920764

申请日：2013-06-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Ho Ting Cheng ,  Hang Zhang ,  Nimal Gamini Senarath

IPC: H04W24/08

Abstract: In one embodiment, a method for a method of estimating an effective bandwidth of a traffic source includes obtaining a first traffic pattern from a first traffic source. Also, the method includes setting a first effective bandwidth between a mean data rate of the first traffic source and a peak data rate of the first traffic source. Additionally, the method includes determining a first outage rate of the first traffic source in accordance with the first traffic pattern and the first effective bandwidth.

公开(公告)号：US09686769B2

公开(公告)日：2017-06-20

申请号：US13839830

申请日：2013-03-15

Applicant: Huawei Technologies Co., Ltd.

Inventor： Ho Ting Cheng ,  Xu Li ,  Hang Zhang

IPC: H04W64/00 ,  G01S5/00 ,  G01S5/02

CPC classification number: H04W64/006 ,  G01S5/0018 ,  G01S5/021

Abstract: System and method embodiments for mobility prediction in a wireless network enable the wireless network to determine the location of a wireless device with minimal transmissions from the wireless device. In an embodiment, the method includes negotiating with a mobile device to determine a mobility prediction algorithm and a condition upon which the mobile wireless device will report the actual location of the mobile device, training the mobility prediction algorithm using prior mobile wireless device location and timestamp information, determining a predicted location of the mobile device using the mobility prediction algorithm, and setting an predicted location for the mobile device at a time as the actual location for the mobile device at the time when failing to receive a location report from the mobile wireless device, wherein the mobile device transmits actual location information after the training period only if the condition is met.

公开(公告)号：US09392508B2

公开(公告)日：2016-07-12

申请号：US14106531

申请日：2013-12-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nimal Gamini Senarath ,  Ho Ting Cheng ,  Hang Zhang ,  Alex Stephenne

IPC: H04W36/00

CPC classification number: H04W36/0083 ,  H04W36/0072

Abstract: Predicting mobile station migration between geographical locations of a wireless network can be achieved using a migration probability database. The database can be generated based on statistical information relating to the wireless network, such as historical migration patterns and associated mobility information (e.g., velocities, bin location, etc.). The migration probability database consolidates the statistical information into mobility prediction functions for estimating migration probabilities/trajectories based on dynamically reported mobility parameters. By example, mobility prediction functions can compute a likelihood that a mobile station will migrate between geographic regions based on a velocity of the mobile station. Accurate mobility prediction may improve resource provisioning efficiency during admission control and path selection, and can also be used to dynamically adjust handover margins.

Abstract translation: 可以使用迁移概率数据库来预测无线网络的地理位置之间的移动台迁移。 可以基于与无线网络有关的统计信息，例如历史迁移模式和相关联的移动性信息（例如，速度，仓位置等）来生成数据库。 迁移概率数据库将统计信息合并到移动性预测函数中，用于基于动态报告的移动性参数来估计迁移概率/轨迹。 例如，移动性预测功能可以基于移动站的速度来计算移动站将在地理区域之间迁移的可能性。 准确的移动性预测可以提高准入控制和路径选择期间的资源提供效率，并且还可以用于动态地调整切换余量。

公开(公告)号：US11071020B2

公开(公告)日：2021-07-20

申请号：US15277155

申请日：2016-09-27

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nimal Gamini Senarath ,  Ho Ting Cheng ,  Hang Zhang ,  Alex Stephenne

IPC: H04W28/26 ,  H04L12/24 ,  H04L12/801 ,  H04L12/911 ,  H04W16/22 ,  H04W28/02 ,  H04W28/20

Abstract: Interference costs on virtual radio interfaces can be modeled as a function of loading in a wireless network to estimate changes in spectral efficiency and/or resource availability that would result from a provisioning decision. In one example, this modeling is achieved through cost functions that are developed from historical and/or simulated resource cost data corresponding to the wireless network. The cost data may include interference data, spectral efficiency data, and/or loading data for various links over a common period of time (e.g., a month, a year, etc.), and may be analyzed and/or consolidated to obtain correlations between interference costs and loading on the various links in the network. As an example, a cost function may specify an interference cost on one virtual link as a function of loading on one or more neighboring virtual links.

公开(公告)号：US09894421B2

公开(公告)日：2018-02-13

申请号：US13657559

申请日：2012-10-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Ngoc Dung Dao ,  Aaron James Callard ,  Hang Zhang ,  Ho Ting Cheng

IPC: G06F15/16 ,  H04N21/61 ,  H04L29/06 ,  H04N21/6437 ,  H04N21/6583 ,  H04N21/845

CPC classification number: H04N21/6125 ,  H04L65/607 ,  H04L69/04 ,  H04N21/6437 ,  H04N21/6583 ,  H04N21/8456

Abstract: Systems and methods reduce redundancy in a data representation. The data is divided into a plurality of data portions. The data portions are used to encode a plurality of compressed data portions, wherein the compressed data portions correspond to a subset of the data portions and comprise less redundant data than the subset of the data portions. The compressed data portions are also encoded in accordance with data in the remaining data portions. The compressed data portions are transmitted instead of the subset of the data portions with the remaining data portions according to a sequence of data portions. Each of the compressed data portions is transmitted upon receiving an acknowledgment message that indicates successful transmission of a previous data portion or compressed data portion in the sequence of data portions.

公开(公告)号：US09554335B2

公开(公告)日：2017-01-24

申请号：US15185877

申请日：2016-06-17

Applicant: Huawei Technologies Co., Ltd.

Inventor： Ho Ting Cheng ,  Hang Zhang

IPC: H04N7/00 ,  H04W52/06 ,  H04W52/14 ,  H04W52/24 ,  H04W52/22 ,  H04W52/40

CPC classification number: H04W52/06 ,  H04W52/146 ,  H04W52/225 ,  H04W52/243 ,  H04W52/267 ,  H04W52/40

Abstract: A method for optimizing uplink power control settings in a wireless network, the method comprising generating a first gene pool comprising a set of parent genes, wherein each parent gene comprises a set of first generation power control solutions for a set of base stations in the wireless network. The method may further include performing natural selection on the first gene pool to generate a second gene pool comprising selected ones of the set of parent genes, wherein the selected parent genes are chosen by probabilistically selecting some of the parent genes based on fitness values assigned to the parent genes. The method may further include evolving the second gene pool into a descendent gene, wherein the descendent gene comprises a set of local power control solutions for the set of base station in the wireless network.

Abstract translation: 一种用于优化无线网络中的上行链路功率控制设置的方法，所述方法包括生成包括一组母体基因的第一基因库，其中每个父基因包括用于无线网络中的一组基站的一组第一代功率控制解决方案 网络。 所述方法还可以包括在第一基因库上进行自然选择以产生包含所述一组母体基因中的选定的基因库的第二基因库，其中通过概率地选择一些母体基因来选择所选择的亲代基因，所述亲代基因基于分配给 父母基因。 该方法可以进一步包括将第二基因库演化为后代基因，其中后代基因包括用于无线网络中的该组基站的一组局部功率控制解决方案。

公开(公告)号：US20170019817A1

公开(公告)日：2017-01-19

申请号：US15277155

申请日：2016-09-27

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nimal Gamini Senarath ,  Ho Ting Cheng ,  Hang Zhang ,  Alex Stephenne

IPC: H04W28/26 ,  H04W28/02 ,  H04W16/22

CPC classification number: H04W28/26 ,  H04L41/0896 ,  H04L47/127 ,  H04L47/823 ,  H04W16/22 ,  H04W28/0268 ,  H04W28/20

Abstract: Interference costs on virtual radio interfaces can be modeled as a function of loading in a wireless network to estimate changes in spectral efficiency and/or resource availability that would result from a provisioning decision. In one example, this modeling is achieved through cost functions that are developed from historical and/or simulated resource cost data corresponding to the wireless network. The cost data may include interference data, spectral efficiency data, and/or loading data for various links over a common period of time (e.g., a month, a year, etc.), and may be analyzed and/or consolidated to obtain correlations between interference costs and loading on the various links in the network. As an example, a cost function may specify an interference cost on one virtual link as a function of loading on one or more neighboring virtual links.

Abstract translation: 虚拟无线电接口上的干扰成本可以被建模为在无线网络中加载的功能，以估计由供应决定导致的频谱效率和/或资源可用性的变化。 在一个示例中，通过从对应于无线网络的历史和/或模拟资源成本数据开发的成本函数来实现该建模。 成本数据可以包括干扰数据，频谱效率数据和/或在公共时间段（例如，一个月，一年等）上的各种链路的加载数据），并且可以分析和/或合并以获得相关性 干扰成本和网络上各种链路的负载之间。 作为示例，成本函数可以将一个虚拟链路上的干扰成本指定为在一个或多个相邻虚拟链路上加载的功能。

公开(公告)号：US20160366623A1

公开(公告)日：2016-12-15

申请号：US15208471

申请日：2016-07-12

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nimal Gamini Senarath ,  Ho Ting Cheng ,  Hang Zhang ,  Alex Stephenne

IPC: H04W36/00

CPC classification number: H04W36/0083 ,  H04W36/0072

Abstract: Predicting mobile station migration between geographical locations of a wireless network can be achieved using a migration probability database. The database can be generated based on statistical information relating to the wireless network, such as historical migration patterns and associated mobility information (e.g., velocities, bin location, etc.). The migration probability database consolidates the statistical information into mobility prediction functions for estimating migration probabilities/trajectories based on dynamically reported mobility parameters. By example, mobility prediction functions can compute a likelihood that a mobile station will migrate between geographic regions based on a velocity of the mobile station. Accurate mobility prediction may improve resource provisioning efficiency during admission control and path selection, and can also be used to dynamically adjust handover margins.

Abstract translation: 可以使用迁移概率数据库来预测无线网络的地理位置之间的移动台迁移。 可以基于与无线网络有关的统计信息，例如历史迁移模式和相关联的移动性信息（例如，速度，仓位置等）来生成数据库。 迁移概率数据库将统计信息合并到移动性预测函数中，用于基于动态报告的移动性参数来估计迁移概率/轨迹。 例如，移动性预测功能可以基于移动站的速度来计算移动站将在地理区域之间迁移的可能性。 准确的移动性预测可以提高准入控制和路径选择期间的资源提供效率，并且还可以用于动态地调整切换余量。

公开(公告)号：US20160295518A1

公开(公告)日：2016-10-06

申请号：US15185877

申请日：2016-06-17

Applicant: Huawei Technologies Co., Ltd.

Inventor： Ho Ting Cheng ,  Hang Zhang

IPC: H04W52/06 ,  H04W52/24

CPC classification number: H04W52/06 ,  H04W52/146 ,  H04W52/225 ,  H04W52/243 ,  H04W52/267 ,  H04W52/40

Abstract: A method for optimizing uplink power control settings in a wireless network, the method comprising generating a first gene pool comprising a set of parent genes, wherein each parent gene comprises a set of first generation power control solutions for a set of base stations in the wireless network. The method may further include performing natural selection on the first gene pool to generate a second gene pool comprising selected ones of the set of parent genes, wherein the selected parent genes are chosen by probabilistically selecting some of the parent genes based on fitness values assigned to the parent genes. The method may further include evolving the second gene pool into a descendent gene, wherein the descendent gene comprises a set of local power control solutions for the set of base station in the wireless network.

Abstract translation: 一种用于优化无线网络中的上行链路功率控制设置的方法，所述方法包括生成包括一组母体基因的第一基因库，其中每个父基因包括用于无线网络中的一组基站的一组第一代功率控制解决方案 网络。 所述方法还可以包括在第一基因库上进行自然选择以产生包含所述一组母体基因中的选定的基因库的第二基因库，其中通过概率地选择一些母体基因来选择所选择的亲代基因，所述亲代基因基于分配给 父母基因。 该方法可以进一步包括将第二基因库演化为后代基因，其中后代基因包括用于无线网络中的该组基站的一组局部功率控制解决方案。