公开(公告)号：US20140219104A1

公开(公告)日：2014-08-07

申请号：US14107946

申请日：2013-12-16

Applicant: FutureWei Technologies, Inc.

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

IPC: H04L12/801 ,  H04L12/911

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：US20140185581A1

公开(公告)日：2014-07-03

申请号：US14106531

申请日：2013-12-13

Applicant: FutureWei Technologies, Inc.

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

IPC: H04W36/00 ,  H04W8/02

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。