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    • 31. 发明授权
    • Criteria for base station selection, including handover, in a wireless communication system
    • 在无线通信系统中用于基站选择的标准,包括切换
    • US06954643B2
    • 2005-10-11
    • US10606428
    • 2003-06-25
    • Paul Petrus
    • Paul Petrus
    • H04B17/00H04W48/20H04Q7/20G01S3/02H04Q7/00
    • H04W48/20H04B17/318H04B17/382H04W36/08H04W48/16
    • The present invention provides method and apparatus for facilitating base station selection/handover by a user terminal in a distributed (e.g., cellular-type) wireless communication system. In accordance with one aspect, hysteresis is adaptively determined as a function of the variance of receive signal strength fluctuations. In turn, an adaptive hysteresis factor can be obtained and used for a subsequent handover decision, for example, based on a cost function that takes into account the hysteresis. In accordance with another aspect, base station selection depends on a number of criteria, such as received signal strength, base station load, and estimated distance between a receiving user terminal and one or more base stations.
    • 本发明提供了一种用于促进基站在分布式(例如,蜂窝型)无线通信系统中的用户终端的选择/切换的方法和装置。 根据一个方面,滞后被自适应地确定为接收信号强度波动的方差的函数。 反过来,可以获得自适应滞后因子并将其用于随后的切换决策,例如,基于考虑滞后的成本函数。 根据另一方面,基站选择取决于诸如接收信号强度,基站负载以及接收用户终端与一个或多个基站之间的估计距离的准则的数目。
    • 32. 发明授权
    • Multimode iterative adaptive smart antenna processing method and apparatus
    • 多模迭代自适应智能天线处理方法及装置
    • US06177906B1
    • 2001-01-23
    • US09286135
    • 1999-04-01
    • Paul Petrus
    • Paul Petrus
    • G01S316
    • H04B7/0865H01Q3/26
    • A method and apparatus is described for implementing adaptive smart antenna processing in a receiving communication station that includes an array of antennas and means for adaptive smart antenna processing, the method and apparatus including determining weight vectors for the adaptive smart antenna processing. Using the invention offers advantages when operating in a low SINR environment, for example, in a mobile environment in which the remote users are travelling at high speeds, hence the signals undergo fading. One aspect is hybrid weight adaptation that starts off with a method with good convergence properties, for example, one known to converge in a low SINR environment then switches to a method that converges rapidly, for example when started with relatively high quality initial conditions. To deal with high mobility, the weights determined from data at a particular burst are applied on that particular burst. Such weights may not be optimal for the subsequent bursts. When several users are present in a given channel, a multiport architecture is used to track each individual remote user.
    • 描述了一种在包括天线阵列和自适应智能天线处理装置的接收通信站中实现自适应智能天线处理的方法和装置,所述方法和装置包括确定用于自适应智能天线处理的加权矢量。 使用本发明在低SINR环境中操作时提供了优点,例如在远程用户以高速行进的移动环境中,因此信号经历衰落。 一个方面是混合权重适应,其开始于具有良好收敛特性的方法,例如,已知会聚在低SINR环境中的方法,然后切换到快速收敛的方法,例如当以较高质量的初始条件开始时。 为了处理高移动性,从特定脉冲串上的数据确定的权重应用于该特定突发。 这样的权重对于后续的突发可能不是最佳的。 当一个给定的通道中存在多个用户时,使用多端口架构来跟踪每个单独的远程用户。