Systems and Methods for Uplink Power Control and Scheduling in a Wireless Network
    3.
    发明申请
    Systems and Methods for Uplink Power Control and Scheduling in a Wireless Network 审中-公开
    无线网络中上行链路功率控制和调度的系统与方法

    公开(公告)号:US20150351041A1

    公开(公告)日:2015-12-03

    申请号:US14822609

    申请日:2015-08-10

    CPC classification number: H04W52/244 H04B17/345 H04W52/146 H04W72/1231

    Abstract: Methods and systems for facilitating uplink power control (PC) and scheduling in a wireless network are provided. In one example, common interference patterns are obtained from long term channel statistics, and used to perform local PC and scheduling by distributed base stations (eNBs). In some implementations, the common interference patterns are obtained through statistical narrowing techniques that identify common ones out of a plurality of potential interference patterns. The common interference patterns may specify maximum interference thresholds and/or individual eNB-to-eNB interference thresholds which may govern the local PC and scheduling decisions of the distributed eNBs.

    Abstract translation: 提供了用于促进无线网络中的上行链路功率控制(PC)和调度的方法和系统。 在一个示例中,从长期信道统计获得公共干扰模式,并且用于由分布式基站(eNB)执行本地PC和调度。 在一些实现中,通过识别多个潜在干扰模式中的常见干扰模式的统计窄化技术来获得公共干扰模式。 常见的干扰模式可以指定最大干扰阈值和/或可以管理本地PC的分布式eNB的各个eNB到eNB的干扰阈值和调度决策。

    Method and System to Represent the Impact of Load Variation on Service Outage over Multiple Links
    4.
    发明申请
    Method and System to Represent the Impact of Load Variation on Service Outage over Multiple Links 有权
    负载变化对多个链路服务中断影响的方法和系统

    公开(公告)号:US20140269332A1

    公开(公告)日:2014-09-18

    申请号:US14203276

    申请日:2014-03-10

    Abstract: Increased resource utilization efficiency can be improved by modeling path costs during admission and path-selection. Specifically, path costs for candidate paths are modeled based on load characteristics (e.g., current load, load variation, etc.) of links in the candidate paths. Path costs can represent any quantifiable cost or liability associated with transporting a service flow over the corresponding path. For example, path costs can correspond to a probability that at least one link in the path will experience an outage when transporting the service flow, a price charged by a network operator (NTO) for transporting the traffic flow over the candidate path, or a total network cost for transporting the flow over a candidate path. The candidate path having the lowest path cost is selected to transport a service flow.

    Abstract translation: 通过在入场和路径选择过程中路径成本建模可以提高资源利用效率。 具体地,候选路径的路径成本基于候选路径中的链路的负载特性(例如,当前负载,负载变化等)来建模。 路径成本可以代表与通过相应路径传输服务流程相关的任何可量化的成本或责任。 例如,路径成本可以对应于在传输服务流时路径中的至少一个链路将经历中断的概率,用于在候选路径上传输业务流的网络运营商(NTO)收取的价格,或 用于在候选路径上传输流的总网络成本。 选择具有最低路径开销的候选路径来传送服务流。

    System and methods to achieve optimum efficiency-jain fairness in wireless systems
    5.
    发明授权
    System and methods to achieve optimum efficiency-jain fairness in wireless systems 有权
    实现无线系统最佳效率的系统和方法

    公开(公告)号:US09369925B2

    公开(公告)日:2016-06-14

    申请号:US14067542

    申请日:2013-10-30

    CPC classification number: H04W28/24 H04W52/143

    Abstract: Embodiments are provided for scheduling resources considering data rate-efficiency and fairness trade-off. A value of Jain's fairness index (JFI) is determined for transmitting a service to a plurality of users, and accordingly a sum of throughputs is maximized for transmitting the service to the users. Alternatively, a sum of throughputs is determined first and accordingly the JFI is maximized. Maximizing the sum of throughputs or JFI includes selecting a suitable value for a tuning parameter in an efficiency and fairness trade-off relation model. In accordance with the values of sum of throughputs and JFI, a plurality of resources are allocated for transmitting the service to the users. For static or quasi-static channels, the relation model is a convex function with a monotonic trade-off property. For ergodic time varying channels, the tuning parameter is selected by solving the relation model using a gradient-based approach.

    Abstract translation: 提供了考虑数据速率效率和公平权衡的调度资源的实施例。 为了将服务发送给多个用户,确定了Jain的公平性指数(JFI)的值,因此将服务的发送量最大化为用户的总和。 或者,首先确定吞吐量的总和,从而使JFI最大化。 最大化吞吐量或JFI的总和包括在效率和公平权衡关系模型中选择适合的调整参数值。 根据吞吐量和JFI的总和的值,分配多个资源用于向用户发送服务。 对于静态或准静态通道,关系模型是具有单调权衡属性的凸函数。 对于遍历时变通道,通过使用基于梯度的方法求解关系模型来选择调谐参数。

    Systems and Methods for Downlink Power Control and Scheduling in a Wireless Network
    6.
    发明申请
    Systems and Methods for Downlink Power Control and Scheduling in a Wireless Network 审中-公开
    无线网络中下行链路功率控制和调度的系统和方法

    公开(公告)号:US20150351055A1

    公开(公告)日:2015-12-03

    申请号:US14743740

    申请日:2015-06-18

    Abstract: Methods and systems for providing joint power control (PC) and scheduling in a wireless network are provided. In one example, a method includes generating a near-optimal power pattern for PC and scheduling in accordance with long term channel statistics. The near-optimal PC solution may be generated by first generating a set of possible power patterns in accordance with likely scheduling scenarios, then statistically narrowing the set of possible power patterns to identify the most commonly used power patterns, and finally selecting one of the most commonly used power patterns as the near-optimal power pattern. In another example, a table of optimal PC solutions are provided for performing distributed PC and scheduling in an adaptive and/or dynamic manner.

    Abstract translation: 提供了在无线网络中提供联合功率控制(PC)和调度的方法和系统。 在一个示例中,一种方法包括根据长期信道统计生成用于PC的近最优功率模式和调度。 可以通过首先根据可能的调度场景生成一组可能的功率模式,然后统计学地缩小可能的功率模式集合以识别最常用的功率模式,并且最后选择最多的功率模式 常用功率模式作为近最优功率模式。 在另一示例中,提供了用于以自适应和/或动态方式执行分布式PC和调度的最佳PC解决方案的表。

    System and Methods to Achieve Optimum Efficiency-Jain Fairness in Wireless Systems
    7.
    发明申请
    System and Methods to Achieve Optimum Efficiency-Jain Fairness in Wireless Systems 有权
    在无线系统中实现最佳效率的系统和方法 - 耆那教公平

    公开(公告)号:US20140120974A1

    公开(公告)日:2014-05-01

    申请号:US14067542

    申请日:2013-10-30

    CPC classification number: H04W28/24 H04W52/143

    Abstract: Embodiments are provided for scheduling resources considering data rate-efficiency and fairness trade-off. A value of Jain's fairness index (JFI) is determined for transmitting a service to a plurality of users, and accordingly a sum of throughputs is maximized for transmitting the service to the users. Alternatively, a sum of throughputs is determined first and accordingly the JFI is maximized. Maximizing the sum of throughputs or JFI includes selecting a suitable value for a tuning parameter in an efficiency and fairness trade-off relation model. In accordance with the values of sum of throughputs and JFI, a plurality of resources are allocated for transmitting the service to the users. For static or quasi-static channels, the relation model is a convex function with a monotonic trade-off property. For ergodic time varying channels, the tuning parameter is selected by solving the relation model using a gradient-based approach.

    Abstract translation: 提供了考虑数据速率效率和公平权衡的调度资源的实施例。 为了将服务发送给多个用户,确定了Jain的公平性指数(JFI)的值,因此将服务的发送量最大化为用户的总和。 或者,首先确定吞吐量的总和,从而使JFI最大化。 最大化吞吐量或JFI的总和包括在效率和公平权衡关系模型中选择适合的调整参数值。 根据吞吐量和JFI的总和的值,分配多个资源用于向用户发送服务。 对于静态或准静态通道,关系模型是具有单调权衡属性的凸函数。 对于遍历时变通道,通过使用基于梯度的方法求解关系模型来选择调谐参数。

    System and Method for Selecting Operating Parameters in a Communications System
    9.
    发明申请
    System and Method for Selecting Operating Parameters in a Communications System 审中-公开
    在通信系统中选择操作参数的系统和方法

    公开(公告)号:US20150024802A1

    公开(公告)日:2015-01-22

    申请号:US14511708

    申请日:2014-10-10

    Abstract: A method for configuring a first base station within a cluster in a communications system having a plurality of cluster includes optimizing an operating parameter of the first base station in accordance with first utility function results from a first utility function associated with the first base station and second utility function results from a second utility function associated with a second base station within the cluster, the first utility function results and the second utility function results according to multiple settings for the operating parameter of the first base station, a first initialized setting of the operating parameter for the second base station, and a second initialized setting of the operating parameter for an external base station outside the cluster. The method also includes sharing the optimized operating parameter with the external base station.

    Abstract translation: 一种用于在具有多个群集的通信系统中配置群集内的第一基站的方法包括根据与第一基站相关联的第一效用函数的第一效用函数结果优化第一基站的操作参数,以及第二基站 效用函数来自与集群内的第二基站相关联的第二效用函数,第一效用函数结果和第二效用函数根据第一基站的操作参数的多个设置,第一初始化的操作设置 第二基站的参数,以及群外的外部基站的操作参数的第二初始化设定。 该方法还包括与外部基站共享优化的操作参数。

    System and Method for Network Resource Allocation Considering User Experience, Satisfaction and Operator Interest
    10.
    发明申请
    System and Method for Network Resource Allocation Considering User Experience, Satisfaction and Operator Interest 审中-公开
    考虑用户体验,满意度和运营商兴趣的网络资源分配的系统和方法

    公开(公告)号:US20140229210A1

    公开(公告)日:2014-08-14

    申请号:US14181160

    申请日:2014-02-14

    Abstract: Embodiments are provided for network resource allocation considering user experience, satisfaction, and operator interest. An embodiment method by a network component for allocating network resources includes evaluating, for a user, a QoE for each flow of a plurality of flows in network traffic in according with a QoE model, and further evaluating, for an operator, a revenue associated with the flows in accordance with a revenue model. A plurality of priorities that correspond to the flows are calculated in accordance with the QoE for the user and the revenue for the operator. The method further includes identifying a flow of the flows with a highest value of the priorities, and allocating a network resource for the flow. In an embodiment, the QoE model is a satisfaction model that provides a measure of user satisfaction for each flow in accordance with a subscription or behavior class of the user.

    Abstract translation: 考虑到用户体验,满意度和操作者的兴趣,提供了用于网络资源分配的实施例。 用于分配网络资源的网络组件的实施方式包括根据QoE模型为用户评估网络业务中的多个流的每个流的QoE,以及进一步评估运营商与 流量按照收入模式。 根据用户的QoE和运营商的收入来计算与流量对应的多个优先级。 该方法还包括识别具有最高优先级值的流的流,并为流分配网络资源。 在一个实施例中,QoE模型是根据用户的订阅或行为类别为每个流提供用户满意度的满意度模型。

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