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    • 1. 发明授权
    • System and method for estimating interference in a packet-based wireless network
    • 用于估计基于分组的无线网络中的干扰的系统和方法
    • US08155097B2
    • 2012-04-10
    • US12283520
    • 2008-09-12
    • Kin K. LeungJack Harriman Winters
    • Kin K. LeungJack Harriman Winters
    • H04B7/216H04B1/00H04B7/00
    • H04W52/24H04L1/0003H04L1/206H04W52/223
    • A system and method for predicting future interference power in packet-switched networks is disclosed, allowing improved performance in such networks via optimized link adaptation and power control. In an embodiment for use in a cellular network, Kalman filtering can be used to provide the interference estimation through identification of the number of active co-channel interferers in the cellular networks and correlation of the interference power with the number of active interferers. A two-dimensional Kalman filter can be used to exploit that correlation to enhance prediction accuracy. In an alternative embodiment, a one-dimensional Kalman filter can be used where the number of active interferers is not considered.
    • 公开了一种用于预测分组交换网络中的未来干扰功率的系统和方法,其通过优化的链路自适应和功率控制来改善这些网络中的性能。 在用于蜂窝网络的实施例中,可以使用卡尔曼滤波来通过识别蜂窝网络中的活动同频道干扰源的数量来提供干扰估计,并且将干扰功率与有源干扰源的数量相关。 可以使用二维卡尔曼滤波器来利用该相关性来增强预测精度。 在替代实施例中,可以使用不考虑活动干扰源的数量的一维卡尔曼滤波器。
    • 2. 发明授权
    • System and method for estimating interference in a packet-based wireless network
    • 用于估计基于分组的无线网络中的干扰的系统和方法
    • US07453861B2
    • 2008-11-18
    • US10211788
    • 2002-08-02
    • Kin K. LeungJack Harriman Winters
    • Kin K. LeungJack Harriman Winters
    • H04B7/214
    • H04W52/24H04L1/0003H04L1/206H04W52/223
    • A system and method for predicting future interference power in packet-switched networks is disclosed, allowing improved performance in such networks via optimized link adaptation and power control. In an embodiment for use in a cellular network, Kalman filtering can be used to provide the interference estimation through identification of the number of active co-channel interferers in the cellular networks and correlation of the interference power with the number of active interferers. A two-dimensional Kalman filter can be used to exploit that correlation to enhance prediction accuracy. In an alternative embodiment, a one-dimensional Kalman filter can be used where the number of active interferers is not considered.
    • 公开了一种用于预测分组交换网络中的未来干扰功率的系统和方法,其通过优化的链路自适应和功率控制来改善这些网络中的性能。 在用于蜂窝网络的实施例中,可以使用卡尔曼滤波来通过识别蜂窝网络中的活动同频道干扰源的数量来提供干扰估计,并且将干扰功率与有源干扰源的数量相关。 可以使用二维卡尔曼滤波器来利用该相关性来增强预测精度。 在替代实施例中,可以使用不考虑活动干扰源的数量的一维卡尔曼滤波器。