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    • 1. 发明申请
    • TELECOMMUNICATIONS NETWORK NODE AND METHODS
    • 电信网络节点和方法
    • US20120225628A1
    • 2012-09-06
    • US13394849
    • 2010-08-03
    • Lester T. W. HoHolger Claussen
    • Lester T. W. HoHolger Claussen
    • H04W52/06H04W24/02
    • H04W52/343G06N3/126H04W24/02H04W52/143H04W52/325H04W84/045
    • A telecommunications network node and methods are disclosed. The method is for generating, by genetic programming, evolved algorithms for adjusting base station transmission power to control coverage of a cell to assist in providing desired base station operating characteristics. The method comprises the steps of: generating, using predetermined functions and terminals defined in a functions and terminals list, a plurality of evolved algorithms each of which determine whether, for any particular base station operating conditions, to adjust said base station transmission power; determining a fitness level indicative of each evolved algorithm's ability to adjust base station transmission power to control coverage to achieve said desired base station operating characteristics under expected operating conditions; and iteratively performing said steps of generating and determining to generate further evolved algorithms using at least one of said evolved algorithms determined to have achieved a particular fitness level. In this way, it can be seen that algorithms can be assembled and then tested to see how suitable they are at controlling base station power to achieve particular operating characteristics under particular operating conditions. Those algorithms which are determined to be the best at achieving those characteristics under those particular operating conditions may then be used to generate further algorithms which, in turn, are also then assessed. Hence, those individual algorithms which are suited to the operating characteristics and the operating conditions can rapidly be generated thereby avoiding the need to manually design new algorithms which are specialised to particular environments.
    • 公开了电信网络节点和方法。 该方法用于通过遗传编程生成用于调整基站传输功率的演进算法,以控制小区的覆盖以帮助提供期望的基站操作特性。 该方法包括以下步骤:使用在功能和终端列表中定义的预定功能和终端生成多个演进算法,每个演算算法确定对于任何特定基站操作条件是否调整所述基站传输功率; 确定指示每个演进算法调整基站传输功率以控制覆盖以在预期操作条件下实现所述期望的基站操作特性的能力的适应度; 以及迭代地执行所述生成和确定步骤,以便使用所确定的已经达到特定健身水平的所述演化算法中的至少一个来生成进一步演化的算法。 以这种方式,可以看出,可以对算法进行组合,然后进行测试,以了解它们在控制基站功率方面的适合性,以在特定的工作条件下实现特定的工作特性。 那些被确定为在这些特定操作条件下实现这些特性的最佳算法可以用于生成另外的算法,然后再进行评估。 因此,可以快速地生成适合于操作特性和操作条件的那些单独算法,从而避免需要手动设计专门针对特定环境的新算法。
    • 2. 发明授权
    • Telecommunications network node and methods
    • 电信网络节点和方法
    • US08942753B2
    • 2015-01-27
    • US13394849
    • 2010-08-03
    • Lester T. W. HoHolger Claussen
    • Lester T. W. HoHolger Claussen
    • H04B7/00H04W52/34G06N3/12H04W24/02H04W52/14H04W52/32H04W84/04
    • H04W52/343G06N3/126H04W24/02H04W52/143H04W52/325H04W84/045
    • A telecommunications network node and methods are disclosed. The method is for generating, by genetic programming, evolved algorithms for adjusting base station transmission power to control coverage of a cell to assist in providing desired base station operating characteristics. The method comprises the steps of: generating, using predetermined functions and terminals defined in a functions and terminals list, a plurality of evolved algorithms each of which determine whether, for any particular base station operating conditions, to adjust said base station transmission power; determining a fitness level indicative of each evolved algorithm's ability to adjust base station transmission power to control coverage to achieve said desired base station operating characteristics under expected operating conditions; and iteratively performing said steps of generating and determining to generate further evolved algorithms using at least one of said evolved algorithms determined to have achieved a particular fitness level. In this way, it can be seen that algorithms can be assembled and then tested to see how suitable they are at controlling base station power to achieve particular operating characteristics under particular operating conditions. Those algorithms which are determined to be the best at achieving those characteristics under those particular operating conditions may then be used to generate further algorithms which, in turn, are also then assessed. Hence, those individual algorithms which are suited to the operating characteristics and the operating conditions can rapidly be generated thereby avoiding the need to manually design new algorithms which are specialized to particular environments.
    • 公开了电信网络节点和方法。 该方法用于通过遗传编程生成用于调整基站传输功率的演进算法,以控制小区的覆盖以帮助提供期望的基站操作特性。 该方法包括以下步骤:使用在功能和终端列表中定义的预定功能和终端生成多个演进算法,每个演算算法确定对于任何特定基站操作条件是否调整所述基站传输功率; 确定指示每个演进算法调整基站传输功率以控制覆盖以在预期操作条件下实现所述期望的基站操作特性的能力的适应度; 以及迭代地执行所述生成和确定步骤,以便使用所确定的已经达到特定健身水平的所述演化算法中的至少一个来生成进一步演化的算法。 以这种方式,可以看出,可以对算法进行组合,然后进行测试,以了解它们在控制基站功率方面的适合性,以在特定的工作条件下实现特定的工作特性。 那些被确定为在这些特定操作条件下实现这些特性的最佳算法可以用于生成另外的算法,然后再进行评估。 因此,可以快速地生成适合于操作特性和操作条件的那些单独算法,从而避免需要手动设计专门针对特定环境的新算法。