CN110602741B - Network weak coverage identification method, device, equipment and storage medium - Google Patents
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Abstract
本发明实施例提供了网络弱覆盖的识别方法、装置、设备及存储介质。该方法包括：获取网络覆盖信息；根据所述网络覆盖信息识别网络弱覆盖区域，并确定所述网络弱覆盖区域的覆盖范围信息；其中，所述网络覆盖信息包括：话务统计、OTT、测量报告MR、用户历史投诉信息和网络黑点库。本发明实施例能够精确地确定弱覆盖区域的位置，进而确定弱覆盖区域所出现问题的严重程度以及出现问题的弱覆盖区域范围大小。
Embodiments of the present invention provide a method, device, equipment and storage medium for identifying weak network coverage. The method includes: acquiring network coverage information; identifying a weak network coverage area according to the network coverage information, and determining coverage information of the weak network coverage area; wherein, the network coverage information includes: traffic statistics, OTT, measurement Report MR, user history complaint information and network blackspot library. The embodiments of the present invention can accurately determine the location of the weak coverage area, and then determine the severity of the problem in the weak coverage area and the size of the weak coverage area where the problem occurs.
Description
技术领域Technical Field
本发明涉及无线网络技术领域，尤其涉及一种网络弱覆盖的识别方法、装置、设备及存储介质。The present invention relates to the field of wireless network technology, and in particular to a method, device, equipment and storage medium for identifying weak network coverage.
背景技术Background Art
农村网络整体覆盖评估以及网络弱覆盖村庄识别，是农村网络广覆盖提升的基础。有了精准的农村网络覆盖评估结果后，还需要根据农村网络覆盖评估结果确定农村网络覆盖的优化方案。The overall rural network coverage assessment and identification of villages with weak network coverage are the basis for improving rural network coverage. After obtaining accurate rural network coverage assessment results, it is also necessary to determine the optimization plan for rural network coverage based on the rural network coverage assessment results.
目前第四代移动通信技术(the 4th Generation mobile communicationtechnology，4G)移动网络农村区域无线网络覆盖质量的评估、弱覆盖区域的识别主要依靠测量报告(Measurement Report，MR)数据、用户反馈和实地测试的方法。通过MR数据可简单判断基站扇区周围是否存在弱覆盖区域，无法确定弱覆盖区域的具体位置，较难提出弱覆盖区域解决方案。通过用户反馈也只能大致确定弱覆盖区域的位置，进而导致无法确定弱覆盖区域所出现问题的严重程度以及出现问题的弱覆盖区域范围大小。At present, the evaluation of the quality of wireless network coverage in rural areas of the 4th Generation mobile communication technology (4G) mobile network and the identification of weak coverage areas mainly rely on measurement report (MR) data, user feedback and field testing methods. Through MR data, it is easy to determine whether there is a weak coverage area around the base station sector, but it is impossible to determine the specific location of the weak coverage area, and it is difficult to propose a solution for the weak coverage area. Through user feedback, the location of the weak coverage area can only be roughly determined, which makes it impossible to determine the severity of the problem in the weak coverage area and the size of the weak coverage area where the problem occurs.
发明内容Summary of the invention
本发明实施例提供了一种网络弱覆盖的识别方法、装置、设备及存储介质，能够解决无法确定弱覆盖区域的位置，进而导致无法确定弱覆盖区域所出现问题的严重程度以及出现问题的弱覆盖区域范围大小的技术问题。The embodiments of the present invention provide a method, device, equipment and storage medium for identifying weak coverage of a network, which can solve the technical problem that the location of a weak coverage area cannot be determined, and thus the severity of the problem in the weak coverage area cannot be determined, as well as the size of the weak coverage area where the problem occurs.
第一方面，本发明实施例提供了一种网络弱覆盖的优化方法，该方法包括：In a first aspect, an embodiment of the present invention provides a method for optimizing network weak coverage, the method comprising:
获取网络覆盖信息；Get network coverage information;
根据网络覆盖信息识别网络弱覆盖区域，并确定网络弱覆盖区域的覆盖范围信息；其中，网络覆盖信息包括：话务统计、OTT、测量报告(Measurement Report，MR)、用户历史投诉信息和网络黑点库。Identify the network weak coverage area based on the network coverage information, and determine the coverage range information of the network weak coverage area; wherein the network coverage information includes: traffic statistics, OTT, Measurement Report (MR), user historical complaint information and network black spot library.
在一个可能的实现中，该方法还包括：In one possible implementation, the method further includes:
获取基站的资源利用率、信号发射功率、OTT采样点和参数；Obtain the resource utilization, signal transmission power, OTT sampling points and parameters of the base station;
根据覆盖范围信息、基站的配置信息和参数，确定网络弱覆盖区域的弱覆盖场景类型；Determine the type of weak coverage scenario in the network weak coverage area based on coverage information, base station configuration information and parameters;
根据弱覆盖场景类型，确定优化网络弱覆盖的方案。Determine the solution to optimize network weak coverage based on the type of weak coverage scenario.
在一个可能的实现中，根据网络覆盖信息识别网络弱覆盖区域，包括：In a possible implementation, identifying a network weak coverage area according to network coverage information includes:
使用网络弱覆盖算法，分别计算话务统计、OTT、MR、用户历史投诉信息和网络黑点库对应的评估分数；Use the network weak coverage algorithm to calculate the evaluation scores for traffic statistics, OTT, MR, user historical complaint information, and network black spot database;
根据评估分数和网络覆盖信息中每一项信息对应的权重，计算网络覆盖得分；Calculate the network coverage score based on the evaluation score and the weight corresponding to each item of network coverage information;
确定网络覆盖得分满足预设的阈值的区域为网络弱覆盖区域。It is determined that the area where the network coverage score meets the preset threshold is a network weak coverage area.
在一个可能的实现中，根据覆盖范围信息、基站的配置信息和参数，确定网络弱覆盖区域的弱覆盖场景类型，包括：In a possible implementation, determining the type of a weak coverage scenario in a weak coverage area of a network according to coverage information, configuration information and parameters of a base station includes:
获取MR覆盖区域中的用户位置信息；Obtaining user location information in the MR coverage area;
根据参数，确定网络弱覆盖区域的基站天线倾角和方位角的大小；According to the parameters, determine the inclination angle and azimuth angle of the base station antenna in the area with weak network coverage;
根据基站的配置信息，确定基站的参考信号CRS的功率；Determine the power of a reference signal CRS of the base station according to the configuration information of the base station;
根据覆盖范围信息，确定网络弱覆盖区域与基站主瓣覆盖范围的距离，基站主瓣是基站的最大辐射波束；Based on the coverage information, determine the distance between the network weak coverage area and the base station main lobe coverage. The base station main lobe is the largest radiation beam of the base station.
根据基站天线倾角和方位角的大小、CRS的功率和距离，确定网络弱覆盖区域的弱覆盖场景类型。The type of weak coverage scenario in the network's weak coverage area is determined based on the base station antenna inclination and azimuth, and the power and distance of the CRS.
在一个可能的实现中，弱覆盖场景类型包括网络弱覆盖区域的基站天线倾角是否满足第一预设条件；In a possible implementation, the weak coverage scenario type includes whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition;
根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线倾角是否满足第一预设条件；Determine whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的位置信息；Get the location information of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
根据参数中基站的俯仰角，确定网络弱覆盖区域的基站天线倾角；According to the elevation angle of the base station in the parameters, determine the base station antenna tilt angle in the network weak coverage area;
以基站为中心点，根据泰森多边形算法生成泰森多边形，并计算中心点到泰森多边形中每个边的平均值，作为泰森多边形间距；Taking the base station as the center point, generate Thiessen polygons according to the Thiessen polygon algorithm, and calculate the average value from the center point to each edge in the Thiessen polygon as the Thiessen polygon spacing;
天线倾角的大小满足预设的倾角阈值、用户与基站之间的距离满足预设的距离条件，且泰森多边形间距满足预设的间距阈值，确定网络弱覆盖区域的基站天线倾角满足第一预设条件。The size of the antenna tilt angle meets the preset tilt angle threshold, the distance between the user and the base station meets the preset distance condition, and the Thiessen polygon spacing meets the preset spacing threshold, and it is determined that the base station antenna tilt angle in the network weak coverage area meets the first preset condition.
在一个可能的实现中，弱覆盖场景类型包括网络弱覆盖区域的基站天线方位角是否满足第二预设条件；In a possible implementation, the weak coverage scenario type includes whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition;
类型确定模块，具体用于根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线方位角是否满足第二预设条件；A type determination module, specifically used to determine whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的参数中的基站天线的方位角以及位置信息；Obtaining the azimuth and location information of the base station antenna from the parameters of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
基于用户位置信息，在基站的覆盖方位内确定用户分布的方位信息和用户的分布密度；Based on the user location information, determine the location information of the user distribution and the distribution density of the user within the coverage area of the base station;
根据用户分布的方位信息、用户与基站的距离和用户的分布密度，确定用户平均分布方位角；Determine the average distribution angle of users according to the azimuth information of user distribution, the distance between users and base stations, and the distribution density of users;
基站天线方位角与用户平均分布方位角之间的差值小于预设的方位角阈值，确定网络弱覆盖区域的基站天线的方位角满足第二预设条件。The difference between the azimuth of the base station antenna and the azimuth of the average distribution of users is less than a preset azimuth threshold, and it is determined that the azimuth of the base station antenna in the network weak coverage area meets the second preset condition.
第二方面，本发明实施例提供一种网络弱覆盖的优化装置，该装置包括：In a second aspect, an embodiment of the present invention provides an optimization device for network weak coverage, the device comprising:
信息获取模块，用于获取网络覆盖信息；An information acquisition module, used to acquire network coverage information;
信息确定模块，用于根据网络覆盖信息识别网络弱覆盖区域，并确定网络弱覆盖区域的覆盖范围信息；其中，网络覆盖信息包括：话务统计、OTT、测量报告MR、用户历史投诉信息和网络黑点库。The information determination module is used to identify the network weak coverage area based on the network coverage information and determine the coverage range information of the network weak coverage area; wherein the network coverage information includes: traffic statistics, OTT, measurement report MR, user historical complaint information and network black spot library.
在一个可能的实现中，该装置还包括：In a possible implementation, the device further includes:
信息获取模块，还用于获取基站的资源利用率、信号发射功率、OTT采样点和参数；The information acquisition module is also used to obtain the resource utilization, signal transmission power, OTT sampling points and parameters of the base station;
类型确定模块，用于根据覆盖范围信息、基站的配置信息和参数，确定网络弱覆盖区域的弱覆盖场景类型；A type determination module is used to determine the type of weak coverage scenario in the network weak coverage area based on coverage information, configuration information and parameters of the base station;
方案确定模块，用于根据弱覆盖场景类型，确定优化网络弱覆盖的方案。The solution determination module is used to determine the solution for optimizing the weak coverage of the network according to the type of weak coverage scenario.
在一个可能的实现中，信息确定模块，用于根据网络覆盖信息识别网络弱覆盖区域，包括：In a possible implementation, the information determination module is used to identify the network weak coverage area according to the network coverage information, including:
使用网络弱覆盖算法，分别计算话务统计、OTT、MR、用户历史投诉信息和网络黑点库对应的评估分数；Use the network weak coverage algorithm to calculate the evaluation scores for traffic statistics, OTT, MR, user historical complaint information, and network black spot database;
根据评估分数和网络覆盖信息中每一项信息对应的权重，计算网络覆盖得分；Calculate the network coverage score based on the evaluation score and the weight corresponding to each item of network coverage information;
确定网络覆盖得分满足预设的阈值的区域为网络弱覆盖区域。It is determined that the area where the network coverage score meets the preset threshold is a network weak coverage area.
在一个可能的实现中，类型确定模块，用于根据覆盖范围信息、基站的资源利用率、信号发射功率、OTT采样点和参数，确定网络弱覆盖区域的弱覆盖场景类型，包括：In a possible implementation, the type determination module is used to determine the type of weak coverage scenario in the network weak coverage area according to the coverage range information, the resource utilization rate of the base station, the signal transmission power, the OTT sampling point and the parameters, including:
获取MR覆盖区域中的用户位置信息；Obtaining user location information in the MR coverage area;
根据参数，确定网络弱覆盖区域的基站天线倾角和方位角的大小；According to the parameters, determine the size of the base station antenna inclination and azimuth in the area with weak network coverage;
根据基站的资源利用率、信号发射功率、OTT采样点和参数，确定基站的参考信号CRS的功率；Determine the power of the reference signal CRS of the base station according to the resource utilization rate, signal transmission power, OTT sampling point and parameters of the base station;
根据覆盖范围信息，确定网络弱覆盖区域与基站主瓣覆盖范围的距离，基站主瓣是基站的最大辐射波束；Based on the coverage information, determine the distance between the network weak coverage area and the base station main lobe coverage. The base station main lobe is the largest radiation beam of the base station.
根据基站天线倾角和方位角的大小、CRS的功率和距离，确定网络弱覆盖区域的弱覆盖场景类型。The type of weak coverage scenario in the network's weak coverage area is determined based on the base station antenna inclination and azimuth, and the power and distance of the CRS.
在一个可能的实现中，弱覆盖场景类型包括网络弱覆盖区域的基站天线倾角是否满足第一预设条件；In a possible implementation, the weak coverage scenario type includes whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition;
类型确定模块，具体用于根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线倾角是否满足第一预设条件；A type determination module, specifically used to determine whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的位置信息；Get the location information of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
根据参数中基站的俯仰角，确定网络弱覆盖区域的基站天线倾角；According to the elevation angle of the base station in the parameters, determine the base station antenna tilt angle in the network weak coverage area;
以基站为中心点，根据泰森多边形算法生成泰森多边形，并计算中心点到泰森多边形中每个边的平均值，作为泰森多边形间距；Taking the base station as the center point, generate Thiessen polygons according to the Thiessen polygon algorithm, and calculate the average value from the center point to each edge in the Thiessen polygon as the Thiessen polygon spacing;
天线倾角的大小满足预设的倾角阈值、用户与基站之间的距离满足预设的距离条件，且泰森多边形间距满足预设的间距阈值，确定网络弱覆盖区域的基站天线倾角满足第一预设条件。The size of the antenna tilt angle meets the preset tilt angle threshold, the distance between the user and the base station meets the preset distance condition, and the Thiessen polygon spacing meets the preset spacing threshold, and it is determined that the base station antenna tilt angle in the network weak coverage area meets the first preset condition.
在一个可能的实现中，弱覆盖场景类型包括网络弱覆盖区域的基站天线方位角是否满足第二预设条件；In a possible implementation, the weak coverage scenario type includes whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition;
类型确定模块，具体用于根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线方位角是否满足第二预设条件；A type determination module, specifically used to determine whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的参数中的基站天线的方位角以及基站的位置信息；Obtaining the azimuth angle of the base station antenna and the location information of the base station from the parameters of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
基于用户位置信息，在基站的覆盖方位内确定用户分布的方位信息和用户的分布密度；Based on the user location information, determine the location information of the user distribution and the distribution density of the user within the coverage area of the base station;
根据用户分布的方位信息、用户与基站的距离和用户的分布密度，计算用户平均分布方位角；Calculate the average distribution angle of users according to the azimuth information of user distribution, the distance between users and base stations, and the distribution density of users;
基站天线方位角与用户平均分布方位角之间的差值小于预设的方位角阈值，确定网络弱覆盖区域的基站天线的方位角满足第二预设条件。The difference between the azimuth of the base station antenna and the azimuth of the average distribution of users is less than a preset azimuth threshold, and it is determined that the azimuth of the base station antenna in the network weak coverage area meets the second preset condition.
第三方面，本发明实施例提供了一种计算设备，包括：至少一个处理器、至少一个存储器以及存储在存储器中的计算机程序指令，当计算机程序指令被处理器执行时实现如上述实施方式中第一方面或者第一方面任一可能实现方式的方法。In a third aspect, an embodiment of the present invention provides a computing device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory, which, when executed by the processor, implement a method as in the first aspect or any possible implementation of the first aspect in the above-mentioned embodiment.
第四方面，本发明实施例提供了一种计算机可读存储介质，其上存储有计算机程序指令，当计算机程序指令被处理器执行时实现如上述实施方式中第一方面或者第一方面任一可能实现方式的方法。In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement a method as in the first aspect or any possible implementation of the first aspect in the above-mentioned embodiment.
本发明实施例提供了网络弱覆盖的识别方法、装置、设备及存储介质。该方法包括：获取网络覆盖信息；根据网络覆盖信息识别网络弱覆盖区域，并确定网络弱覆盖区域的覆盖范围信息；其中，网络覆盖信息包括：话务统计、OTT、测量报告MR、用户历史投诉信息和网络黑点库。本发明实施例能够精确地确定弱覆盖区域的位置，进而确定弱覆盖区域所出现问题的严重程度以及出现问题的弱覆盖区域范围大小。The embodiments of the present invention provide a method, device, equipment and storage medium for identifying network weak coverage. The method includes: obtaining network coverage information; identifying network weak coverage areas according to the network coverage information, and determining coverage range information of network weak coverage areas; wherein the network coverage information includes: traffic statistics, OTT, measurement report MR, user historical complaint information and network black spot library. The embodiments of the present invention can accurately determine the location of the weak coverage area, and then determine the severity of the problem in the weak coverage area and the size of the weak coverage area where the problem occurs.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
为了更清楚地说明本发明实施例的技术方案，下面将对本发明实施例中所需要使用的附图作简单地介绍，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solution of the embodiment of the present invention, the following briefly introduces the drawings required for use in the embodiment of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
图1示出了根据本发明一些实施例提供的一种网络弱覆盖的识别方法的流程图；FIG1 shows a flow chart of a method for identifying network weak coverage according to some embodiments of the present invention;
图2示出了根据本发明一些实施例提供的一种网络弱覆盖的识别方法中确定网络弱覆盖区域的弱覆盖场景类型方法的流程图；2 shows a flow chart of a method for determining a weak coverage scenario type of a network weak coverage area in a method for identifying network weak coverage according to some embodiments of the present invention;
图3示出了根据本发明一些实施例提供的一种弱覆盖用户位置方位角算法的示意图；FIG3 shows a schematic diagram of a weak coverage user position azimuth algorithm provided according to some embodiments of the present invention;
图4示出了根据本发明一些实施例提供的一种天线下倾角与覆盖范围图解的示意图；FIG4 shows a schematic diagram of an antenna downtilt angle and coverage diagram according to some embodiments of the present invention;
图5示出了根据本发明一些实施例提供的一种网络弱覆盖的识别装置的结构图；FIG5 shows a structural diagram of a device for identifying weak network coverage according to some embodiments of the present invention;
图6示出了根据本发明一些实施例提供的一种计算设备的结构示意图。FIG6 shows a schematic diagram of the structure of a computing device provided according to some embodiments of the present invention.
具体实施方式DETAILED DESCRIPTION
下面将详细描述本发明的各个方面的特征和示例性实施例，为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细描述。应理解，此处所描述的具体实施例仅被配置为解释本发明，并不被配置为限定本发明。对于本领域技术人员来说，本发明可以在不需要这些具体细节中的一些细节的情况下实施。下面对实施例的描述仅仅是为了通过示出本发明的示例来提供对本发明更好的理解。The features and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and Examples. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by illustrating examples of the present invention.
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括……”限定的要素，并不排除在包括要素的过程、方法、物品或者设备中还存在另外的相同要素。It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
农村整体覆盖评估以及弱覆盖村庄识别，是农村广覆盖提升的基础。有了精准的农村覆盖评估结果后，如何对应不同场景应用合理、高效、经济的覆盖提升方案，是解决农村弱覆盖区域的难点和重点。目前，第四代移动通信技术(the 4th Generation mobilecommunication technology，4G)移动网络农村区域无线覆盖质量的评估、弱覆盖区域的识别主要依靠MR数据、用户反馈和实地测试的方法。通过MR数据可简单判断基站扇区周围是否存在弱覆盖区域，但是无法确定具体位置，较难提出解决方案。通过用户反馈也仅仅能够大致确定具体位置，更不可能确定弱覆盖问题的程度、问题区域范围大小，无法确定采用何种解决方案最佳措施。只有通过实地的详细测试可确定弱覆盖区域、范围、及弱覆盖问题程度，可确定最优方案，但是投入的人力、物力、时间较大，无法在大范围内进行实施。The overall rural coverage assessment and identification of villages with weak coverage are the basis for improving rural coverage. With accurate rural coverage assessment results, how to apply reasonable, efficient and economical coverage improvement solutions to different scenarios is the difficulty and focus of solving rural weak coverage areas. At present, the evaluation of wireless coverage quality in rural areas of the 4th Generation mobile communication technology (4G) mobile network and the identification of weak coverage areas mainly rely on MR data, user feedback and field testing methods. MR data can be used to simply determine whether there is a weak coverage area around the base station sector, but the specific location cannot be determined, and it is difficult to propose a solution. User feedback can only roughly determine the specific location, and it is even more impossible to determine the extent of the weak coverage problem and the size of the problem area, and it is impossible to determine which solution is the best measure. Only through detailed field testing can the weak coverage area, scope, and degree of weak coverage problems be determined, and the optimal solution can be determined, but the investment in manpower, material resources, and time is large, and it cannot be implemented on a large scale.
综上，目前的网络弱覆盖区域的识别以及优化过程中，数据源相对单一，缺乏相互的关联性分析，弱覆盖区域问题识别只能是定性分析，无法准确识别具体位置(具体村庄、经纬度)、弱覆盖区域大小、具体覆盖强度等一系列定量性指标；无法快速、高效、准确的识别全网的农村弱覆盖区域，给优化调整、确定最优解决方案带来一定困难，优化难度增加，需要投入大量人力、车辆、时间进行排查测试，耗时、费力、且效率低下。农村区域弱覆盖问题识别判断结果与优化解决方案没有精准的匹配模型与算法，不能做到分场景、分类型的弱覆盖问题与最佳解决方案的一一对应，问题解决及优化效率低下。In summary, in the current identification and optimization process of network weak coverage areas, the data source is relatively single and lacks mutual correlation analysis. The identification of weak coverage area problems can only be qualitative analysis, and it is impossible to accurately identify a series of quantitative indicators such as specific location (specific village, longitude and latitude), weak coverage area size, and specific coverage intensity; it is impossible to quickly, efficiently, and accurately identify rural weak coverage areas of the entire network, which brings certain difficulties to optimization and adjustment and determination of the optimal solution. The difficulty of optimization increases, and a large amount of manpower, vehicles, and time are required for investigation and testing, which is time-consuming, laborious, and inefficient. There is no accurate matching model and algorithm between the identification and judgment results of weak coverage problems in rural areas and the optimization solutions, and it is impossible to achieve a one-to-one correspondence between weak coverage problems and the best solutions for different scenarios and types, and the problem solving and optimization efficiency is low.
因此，本发明实施例提供的一种网络弱覆盖的识别方法、装置、设备及存储介质，可以能够降低采购成本，提高产品利用率。Therefore, the method, device, equipment and storage medium for identifying weak network coverage provided by the embodiments of the present invention can reduce procurement costs and improve product utilization.
为便于对本实施例进行理解，首先对本发明实施例所公开的一种网络弱覆盖的识别方法进行详细介绍。To facilitate understanding of this embodiment, a method for identifying weak network coverage disclosed in an embodiment of the present invention is first introduced in detail.
参见图1所示，本发明实施例提供了一种网络弱覆盖的识别方法，包括：S101-S102。As shown in FIG. 1 , an embodiment of the present invention provides a method for identifying weak network coverage, including: S101 - S102 .
S101：获取网络覆盖信息。S101: Obtain network coverage information.
在本发明的一个实施例中，为了能够精准识别网络弱覆盖区域，从农村区域整体覆盖评估为切入点，以覆盖和价值两个维度定义网络弱覆盖区域，并通过利用话务统计、OTT、MR、用户历史投诉信息和网络黑点库五个关键维度信息，实现全部村庄4G覆盖现状评估的五元组法。因此，在确定网络弱覆盖区域之前需要获取网络覆盖信息，其中，网络覆盖信息包括话务统计、OTT、MR、用户历史投诉信息和网络黑点库，进而增加了评估网络弱覆盖的数据多元化。In one embodiment of the present invention, in order to accurately identify the network weak coverage area, the overall coverage assessment of the rural area is used as the starting point, the network weak coverage area is defined in terms of coverage and value, and the five-tuple method for evaluating the current status of 4G coverage in all villages is implemented by using five key dimensional information: traffic statistics, OTT, MR, user historical complaint information, and network black spot library. Therefore, before determining the network weak coverage area, it is necessary to obtain network coverage information, wherein the network coverage information includes traffic statistics, OTT, MR, user historical complaint information, and network black spot library, thereby increasing the data diversification for evaluating network weak coverage.
S102：根据网络覆盖信息识别网络弱覆盖区域，并确定网络弱覆盖区域的覆盖范围信息。S102: Identify a network weak coverage area according to the network coverage information, and determine coverage range information of the network weak coverage area.
在本发明的一个实施例中，利用话务统计、OTT、MR、用户历史投诉信息和网络黑点库五个关键维度信息能够识别出网络弱覆盖区域，例如，网络弱覆盖信息中的五个关键维度信息在评估区域是否为网络弱覆盖区域的时候占有不同的权重，根据五个关键维度信息的权重，能够精准的识别网络弱覆盖的区域或村庄。In one embodiment of the present invention, five key dimensions of information, namely, traffic statistics, OTT, MR, user historical complaint information and network black spot database, can be used to identify areas with weak network coverage. For example, the five key dimensions of information in the network weak coverage information have different weights when evaluating whether an area is an area with weak network coverage. According to the weights of the five key dimensions of information, areas or villages with weak network coverage can be accurately identified.
具体的，参见图2所示，本发明实施例提供了根据网络覆盖信息识别网络弱覆盖区域的方法，包括：Specifically, as shown in FIG. 2 , an embodiment of the present invention provides a method for identifying a network weak coverage area according to network coverage information, including:
使用网络弱覆盖算法，分别计算话务统计、OTT、MR、用户历史投诉信息和网络黑点库对应的评估分数；Use the network weak coverage algorithm to calculate the evaluation scores for traffic statistics, OTT, MR, user historical complaint information, and network black spot database;
根据评估分数和网络覆盖信息中每一项信息对应的权重，计算网络覆盖得分；Calculate the network coverage score based on the evaluation score and the weight corresponding to each item of network coverage information;
确定网络覆盖得分满足预设的阈值的区域为网络弱覆盖区域。It is determined that the area where the network coverage score meets the preset threshold is a network weak coverage area.
在本发明的一个实施例中，首先，根据网络弱覆盖算法确定每一个五毒信息的评估分数，而根据MR可以确定MR的在被识别是否是网络弱覆盖区域的覆盖率，不同的MR的覆盖率在确定MR在评估网络弱覆盖区域的时候，其对应的评估分数是不同的，例如，可以是当MR的覆盖率是90％-100％时，MR在评估网络弱覆盖区域的评估分数为50分，当MR的覆盖率是75％-89％时，MR在评估网络弱覆盖区域的评估分数为60分，当MR的覆盖率是50％-74％时，MR在评估网络弱覆盖区域的评估分数为80分，当MR的覆盖率是0％-49％时，MR在评估网络弱覆盖区域的评估分数为100分。In one embodiment of the present invention, first, the evaluation score of each five-poison information is determined according to the network weak coverage algorithm, and the coverage rate of the MR in being identified as a network weak coverage area can be determined according to the MR. When determining that the MR is evaluating the network weak coverage area, the corresponding evaluation scores of different MR coverage rates are different. For example, when the coverage rate of the MR is 90%-100%, the evaluation score of the MR in evaluating the network weak coverage area is 50 points, when the coverage rate of the MR is 75%-89%, the evaluation score of the MR in evaluating the network weak coverage area is 60 points, when the coverage rate of the MR is 50%-74%, the evaluation score of the MR in evaluating the network weak coverage area is 80 points, and when the coverage rate of the MR is 0%-49%, the evaluation score of the MR in evaluating the network weak coverage area is 100 points.
根据每一个网络覆盖信息对应的评估分数以及网络覆盖信息中每一项信息对应的权重，计算网络覆盖得分。例如，话务统计的评估分数为68分，权重占比为10％；MR的评估分数为56分，权重占比为30％；OTT的评估分数为53分，权重占比为50％；用户历史投诉信息的评估分数为100，权重占比10％；网络黑点库的评估分数为0，在这里，网络黑点库没有权重占比。其中，网络黑点库是指没有覆盖或弱覆盖的概率极高的区域的信息库。根据网络覆盖信息中各个维度信息的评估分数和权重，可得网络覆盖得分F为：F＝68×10％+56×30％+53×50％+100×10％+0＝57.1。The network coverage score is calculated based on the evaluation score corresponding to each network coverage information and the weight corresponding to each information in the network coverage information. For example, the evaluation score of traffic statistics is 68 points, and the weight accounts for 10%; the evaluation score of MR is 56 points, and the weight accounts for 30%; the evaluation score of OTT is 53 points, and the weight accounts for 50%; the evaluation score of user historical complaint information is 100, and the weight accounts for 10%; the evaluation score of the network black spot library is 0, and here, the network black spot library has no weight account. Among them, the network black spot library refers to the information library of areas with a very high probability of no coverage or weak coverage. According to the evaluation scores and weights of each dimension of information in the network coverage information, the network coverage score F can be obtained as: F = 68 × 10% + 56 × 30% + 53 × 50% + 100 × 10% + 0 = 57.1.
假设预设的阈值为0-50，而网络覆盖得分F为57.1不能够满足预设的阈值，因此，该区域为网络弱覆盖区域。Assume that the preset threshold is 0-50, and the network coverage score F is 57.1 which cannot meet the preset threshold. Therefore, the area is a weak network coverage area.
识别确定网络弱覆盖区域后，还需要对网络弱覆盖区域进行优化，那么就需要确定网络弱覆盖区域存在的问题，进而确定弱覆盖场景类型，得到优化网络弱覆盖的方案。After identifying and determining the network weak coverage area, the network weak coverage area also needs to be optimized. To do this, it is necessary to determine the problems existing in the network weak coverage area, and then determine the type of weak coverage scenario to obtain a solution to optimize the network weak coverage.
具体地，本发明实施例提供的网络弱覆盖的识别方法，还包括：Specifically, the method for identifying network weak coverage provided by an embodiment of the present invention further includes:
获取基站的资源利用率、信号发射功率、OTT采样点和参数；Obtain the resource utilization, signal transmission power, OTT sampling points and parameters of the base station;
根据覆盖范围信息、基站的资源利用率、信号发射功率、OTT采样点和参数，确定网络弱覆盖区域的弱覆盖场景类型；Determine the type of weak coverage scenario in the network weak coverage area based on coverage information, base station resource utilization, signal transmission power, OTT sampling points and parameters;
根据弱覆盖场景类型，确定优化网络弱覆盖的方案。Determine the solution to optimize network weak coverage based on the type of weak coverage scenario.
在本发明的一个实施例中，为了能够快速确定优化网络弱覆盖的方案，需要预先根据基站的参数、MR、OTT采样点、基站覆盖的区域的资源利用率以及基站的功率确定弱覆盖场景类型，其中，基站覆盖的区域的资源可以是在基站覆盖区域内的软硬件的配置、License配置许可。OTT可以是指通过互联网向用户提供各种应用服务，例如，微信、支付宝、滴滴等应用服务，OTT采样点是指对应OTT的使用用户存在网络弱覆盖情况的采样点。In one embodiment of the present invention, in order to quickly determine a solution to optimize weak network coverage, it is necessary to determine the type of weak coverage scenario in advance based on the parameters of the base station, MR, OTT sampling points, resource utilization of the area covered by the base station, and the power of the base station, wherein the resources of the area covered by the base station may be the configuration of software and hardware within the base station coverage area, and the license configuration permission. OTT may refer to providing various application services to users through the Internet, such as WeChat, Alipay, Didi and other application services, and the OTT sampling point refers to the sampling point where the corresponding OTT user has a weak network coverage situation.
参见图2所示，本发明实施例提供的网络弱覆盖的识别方法中，根据覆盖范围信息、基站的资源利用率、信号发射功率、OTT采样点和参数，确定网络弱覆盖区域的弱覆盖场景类型，包括：As shown in FIG. 2 , in the method for identifying network weak coverage provided by an embodiment of the present invention, the type of weak coverage scenario of the network weak coverage area is determined according to coverage information, resource utilization rate of the base station, signal transmission power, OTT sampling points and parameters, including:
S201：获取MR覆盖区域中的用户位置信息；S201: Acquire user location information in the MR coverage area;
S202：根据参数，确定网络弱覆盖区域的基站天线倾角和方位角的大小；S202: Determine the size of the inclination angle and azimuth angle of the base station antenna in the network weak coverage area according to the parameters;
S203：根据基站的资源利用率、信号发射功率、OTT采样点和参数，确定基站的CRS的功率；S203: Determine the CRS power of the base station according to the resource utilization rate, signal transmission power, OTT sampling point and parameters of the base station;
S204：根据覆盖范围信息，确定网络弱覆盖区域与基站主瓣覆盖范围的距离，基站主瓣是基站的最大辐射波束；S204: Determine the distance between the network weak coverage area and the base station main lobe coverage range according to the coverage range information, where the base station main lobe is the maximum radiation beam of the base station;
S205：根据基站天线倾角和方位角的大小、CRS的功率和距离，确定网络弱覆盖区域的弱覆盖场景类型。S205: Determine the type of weak coverage scenario in the network weak coverage area according to the base station antenna tilt angle and azimuth angle, the power and distance of the CRS.
在本发明的一个实施例中，覆盖范围信息是指网络弱覆盖的具体覆盖的范围。确定网络弱覆盖区域对应的网络弱覆盖场景类型需要先对网络弱覆盖区域内的基站进行评估，例如，评估基站的各种参数配置是否合理等。其中，弱覆盖场景类型如下述表一所示：In one embodiment of the present invention, coverage information refers to the specific coverage range of network weak coverage. To determine the network weak coverage scenario type corresponding to the network weak coverage area, it is necessary to first evaluate the base stations in the network weak coverage area, for example, to evaluate whether the various parameter configurations of the base station are reasonable. Among them, the weak coverage scenario types are shown in the following Table 1:
表一Table 1
对应每种弱覆盖场景类型有如表二所示的优化网络弱覆盖的方案。For each type of weak coverage scenario, there is a solution for optimizing network weak coverage as shown in Table 2.
表二Table 2
首先，在S201中，需要根据获取的基站参数，确定基站天线的倾角和方位角的大小，例如，基站天线的俯仰角对应每个小区的实际总倾角，包含电子倾角与机械倾角，俯仰角小于6度是倾角过小判断的必要条件，俯仰角大于10度是判断过大的首要条件。First, in S201, it is necessary to determine the size of the inclination and azimuth angles of the base station antenna based on the acquired base station parameters. For example, the pitch angle of the base station antenna corresponds to the actual total inclination angle of each cell, including the electronic inclination angle and the mechanical inclination angle. A pitch angle less than 6 degrees is a necessary condition for judging that the inclination angle is too small, and a pitch angle greater than 10 degrees is the primary condition for judging that the inclination angle is too large.
具体地，弱覆盖场景类型包括网络弱覆盖区域的基站天线倾角是否满足第一预设条件；Specifically, the weak coverage scenario type includes whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition;
根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线倾角是否满足第一预设条件；Determine whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的位置信息；Get the location information of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
根据参数中基站的俯仰角，确定网络弱覆盖区域的基站天线倾角；According to the elevation angle of the base station in the parameters, determine the base station antenna tilt angle in the network weak coverage area;
以基站为中心点，根据泰森多边形算法生成泰森多边形，并计算中心点到泰森多边形中每个边的平均值，作为泰森多边形间距；Taking the base station as the center point, generate Thiessen polygons according to the Thiessen polygon algorithm, and calculate the average value from the center point to each edge in the Thiessen polygon as the Thiessen polygon spacing;
天线倾角的大小满足预设的倾角阈值、用户与基站之间的距离满足预设的距离条件，且泰森多边形间距满足预设的间距阈值，确定网络弱覆盖区域的基站天线倾角满足第一预设条件。The size of the antenna tilt angle meets the preset tilt angle threshold, the distance between the user and the base station meets the preset distance condition, and the Thiessen polygon spacing meets the preset spacing threshold, and it is determined that the base station antenna tilt angle in the network weak coverage area meets the first preset condition.
在本发明的一个实施例中，为了确定基站天线的倾角是否是影响网络弱覆盖的因素，需要获取网络弱覆盖区域中用户位置信息以及基站的位置信息，根据基站的位置信息和用户位置信息能够确定用户与基站之间的距离，由于基站天线的俯仰角对应每个小区的实际总倾角，包含电子倾角与机械倾角，因此，根据基站的参数，确定网络弱覆盖区域的基站天线倾角。另外，还需要结合泰森多边形间距以及用户与基站之间的距离共同确定基站天线倾角的大小是否是影响网络弱覆盖的因素。也即，天线倾角的合理性满足下述算法(1)：In one embodiment of the present invention, in order to determine whether the tilt angle of the base station antenna is a factor affecting weak network coverage, it is necessary to obtain the user location information and the base station location information in the weak network coverage area. The distance between the user and the base station can be determined based on the base station location information and the user location information. Since the pitch angle of the base station antenna corresponds to the actual total tilt angle of each cell, including the electronic tilt angle and the mechanical tilt angle, the base station antenna tilt angle in the weak network coverage area is determined based on the parameters of the base station. In addition, it is also necessary to combine the Thiessen polygon spacing and the distance between the user and the base station to jointly determine whether the size of the base station antenna tilt angle is a factor affecting weak network coverage. That is, the rationality of the antenna tilt angle satisfies the following algorithm (1):
T倾角合理性＝f(T倾角，MRTA分布，D泰林多边形站间距) (1)T inclination rationality = f(T inclination , MRTA distribution , D- Tailin polygon station spacing ) (1)
其中，T倾角表示基站天线的倾角，MRTA分布表示用户在小区MR覆盖区域内的位置信息，D泰林多边形站间距表示泰森多边形间距。Among them, T tilt angle represents the tilt angle of the base station antenna, MRTA distribution represents the location information of the user in the MR coverage area of the cell, and D Tailin polygon station spacing represents the Thiessen polygon spacing.
其中，天线倾角合理则表示天线倾角不是影响网络弱覆盖的因素。Among them, a reasonable antenna tilt angle indicates that the antenna tilt angle is not a factor affecting weak network coverage.
其中，泰森多边形间距通过下述方法建立：以基站为中心点根据泰森多边形算法生成泰森多边形，中心点到泰森多边形每个边距离的平均值定义为泰森多边形站间距。此外，根据泰森多边形站间距结合用户采样点分布情况判断用户是否在网络弱覆盖范围内均衡分布或是否超过覆盖范围用户过多。The Thiessen polygon spacing is established by the following method: Taking the base station as the center point, the Thiessen polygon is generated according to the Thiessen polygon algorithm, and the average value of the distance from the center point to each edge of the Thiessen polygon is defined as the Thiessen polygon station spacing. In addition, the Thiessen polygon station spacing is combined with the distribution of user sampling points to determine whether users are evenly distributed within the weak coverage range of the network or whether there are too many users exceeding the coverage range.
根据上述算法(1)能够确定得到基站天线倾角的大小，用户在小区MR覆盖区域内的位置信息，泰森多边形间距，进而确定基站天线倾角的合理性，例如，天线倾角的合理性包括下述三种情况：According to the above algorithm (1), the size of the base station antenna tilt angle, the location information of the user in the cell MR coverage area, and the Thiessen polygon spacing can be determined, and then the rationality of the base station antenna tilt angle can be determined. For example, the rationality of the antenna tilt angle includes the following three situations:
其一，倾角过小。First, the inclination angle is too small.
当基站天线的倾角小于6度，同时MRTA采样点中40％用户位置距离基站位置大于泰森多边形站间距1.5倍，则确定基站天线倾角过小，则需要重新调整基站天线的倾角。When the inclination angle of the base station antenna is less than 6 degrees, and the distance between 40% of the user locations in the MRTA sampling points and the base station location is greater than 1.5 times the Thiessen polygon station spacing, it is determined that the inclination angle of the base station antenna is too small, and the inclination angle of the base station antenna needs to be readjusted.
其二，倾角过大。Second, the inclination angle is too large.
当泰森多边形站间距大于2Km小于10Km，同时基站天线的倾角大于10度且MRTA采样点中90％用户位置距离基站位置小于泰森多边形站间距0.2倍，则确定基站天线倾角过大，则需要重新调整基站天线的倾角。When the Thiessen polygon station spacing is greater than 2 km and less than 10 km, and the base station antenna's inclination angle is greater than 10 degrees and 90% of the user locations in the MRTA sampling points are less than 0.2 times the Thiessen polygon station spacing, it is determined that the base station antenna's inclination angle is too large, and the base station antenna's inclination angle needs to be readjusted.
其三，倾角合理，也就是基站的天线倾角满足第一预设条件。Third, the tilt angle is reasonable, that is, the antenna tilt angle of the base station meets the first preset condition.
除了倾角过大和倾角过小中的判断条件，则认为基站天线倾角合理。Except for the judgment conditions of too large inclination angle and too small inclination angle, the inclination angle of the base station antenna is considered to be reasonable.
除了基站天线的倾角能够影响网络弱覆盖之外，基站天线的方位角也是影响网络弱覆盖的因素之一。In addition to the tilt angle of the base station antenna, which can affect weak network coverage, the azimuth angle of the base station antenna is also one of the factors that affect weak network coverage.
具体地，本发明实施例提供的网络弱覆盖的识别方法中，弱覆盖场景类型包括网络弱覆盖区域的基站天线方位角是否满足第二预设条件，包括：Specifically, in the method for identifying network weak coverage provided by an embodiment of the present invention, the weak coverage scenario type includes whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition, including:
获取基站的参数中的基站天线的方位角以及基站的位置信息；Obtaining the azimuth angle of the base station antenna and the location information of the base station from the parameters of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
基于用户位置信息，在基站的覆盖方位内确定用户分布的方位信息和用户的分布密度；Based on the user location information, determine the location information of the user distribution and the distribution density of the user within the coverage area of the base station;
根据用户分布的方位信息、用户与基站的距离和用户的分布密度，确定用户平均分布方位角；Determine the average distribution angle of users according to the azimuth information of user distribution, the distance between users and base stations, and the distribution density of users;
基站天线方位角与用户平均分布方位角之间的差值小于预设的方位角阈值，确定网络弱覆盖区域的基站天线的方位角满足第二预设条件。The difference between the azimuth of the base station antenna and the azimuth of the average distribution of users is less than a preset azimuth threshold, and it is determined that the azimuth of the base station antenna in the network weak coverage area meets the second preset condition.
在本发明的一个实施例中，基站天线的方位角若满足第二预设条件，即基站天线的方位角满足条件：基站天线方位角与用户平均分布方位角之间的差值小于预设的方位角阈值，则基站天线的方位角不是影响网络弱覆盖的因素。那么，首先，我们需要先根据用户的位置信息，确定用户分布的方位信息以及用户的分布密度，根据用户分布的方位信息、用户与基站的距离和用户的分布密度，合成用户平均分布方位和用户之间分布的距离。计算基站天线方位角与用户平均分布方位角之间的差值，若基站天线方位角与用户平均分布方位角之间的差值小于预设的方位角阈值，则基站天线的方位角不是影响网络弱覆盖区域的因素。例如，方位角阈值为30度，若基站天线方位角与用户平均分布方位角之间的差值大于30度，则基站天线的方位角不是合理的，需要调整天线的方位角。In one embodiment of the present invention, if the azimuth of the base station antenna satisfies the second preset condition, that is, the azimuth of the base station antenna satisfies the condition: the difference between the azimuth of the base station antenna and the average distribution azimuth of the user is less than the preset azimuth threshold, then the azimuth of the base station antenna is not a factor affecting the weak coverage of the network. Then, first of all, we need to determine the azimuth information of the user distribution and the distribution density of the user according to the user's location information, and synthesize the average distribution azimuth of the user and the distance between the users according to the azimuth information of the user distribution, the distance between the user and the base station and the distribution density of the user. Calculate the difference between the azimuth of the base station antenna and the average distribution azimuth of the user. If the difference between the azimuth of the base station antenna and the average distribution azimuth of the user is less than the preset azimuth threshold, then the azimuth of the base station antenna is not a factor affecting the weak coverage area of the network. For example, the azimuth threshold is 30 degrees. If the difference between the azimuth of the base station antenna and the average distribution azimuth of the user is greater than 30 degrees, the azimuth of the base station antenna is not reasonable, and the azimuth of the antenna needs to be adjusted.
除此之外，基站的CRS的功率和网络弱覆盖区域与基站主瓣覆盖范围的距离也是影响网络弱覆盖的重要因素，因此，还需要确定基站的CRS的功率和网络弱覆盖区域与基站主瓣覆盖范围的距离。In addition, the power of the base station's CRS and the distance between the network's weak coverage area and the base station's main lobe coverage are also important factors affecting the network's weak coverage. Therefore, it is also necessary to determine the power of the base station's CRS and the distance between the network's weak coverage area and the base station's main lobe coverage.
根据MR小区覆盖区域的MRTA采样点分析，输出小区覆盖区间采样点占比，将基站小区MR统计的MRTA为00至47字段之间的所有采样点，按如下距离分段区间：500米以内[0，500]，500至1000米[501，1000]，1Km至2Km[1001，2000]，2Km以上[2001，+∞]，以距离分段区间判断小区当前主要用户群的分布及主瓣覆盖范围，将用户的群分布最多的距离分段区间作为覆盖中心点，得到主瓣覆盖中心点LA(栅格区域)。According to the MRTA sampling point analysis of the MR cell coverage area, the proportion of sampling points in the cell coverage interval is output, and all sampling points between the 00 and 47 fields of the MRTA statistics of the base station cell MR are divided into the following distance segment intervals: within 500 meters [0, 500], 500 to 1000 meters [501, 1000], 1km to 2km [1001, 2000], and above 2km [2001, +∞]. The distribution of the current main user group of the cell and the main lobe coverage range are determined by the distance segment interval, and the distance segment interval with the largest user group distribution is taken as the coverage center point to obtain the main lobe coverage center point LA (grid area).
根据基站小区软硬件配置、License配置许可，评估小区CRS参考信号功率配置合理性，是否可以通过提升功率配置来减少网络弱覆盖区域，其中，功率License配置值>功率License使用值，即CRS参考信号的功率有提升余地；F频段小区RRU绑定小区数<2或者D频段RRU绑定小区数<2，则CRS功率配置有余量，可提升功率配置。According to the base station cell hardware and software configuration and license configuration permission, evaluate the rationality of the cell CRS reference signal power configuration to see whether the network weak coverage area can be reduced by improving the power configuration. Among them, the power license configuration value > the power license usage value, that is, the power of the CRS reference signal has room for improvement; if the number of RRU bound cells in the F-band cell is <2 or the number of RRU bound cells in the D-band cell is <2, then the CRS power configuration has margin and the power configuration can be improved.
根据小区PRB资源利用率、RRC用户数等评估小区资源利用率及负荷情况。MAX(上行PUSCH利用率,下行PDSCH利用率,下行PDCCH利用率)>50％或者RRC有效连接用户数>200即为资源利用率高，且为高负荷小区。Evaluate the cell resource utilization and load based on the cell PRB resource utilization, number of RRC users, etc. MAX (uplink PUSCH utilization, downlink PDSCH utilization, downlink PDCCH utilization)>50% or the number of RRC valid connected users>200 means that the resource utilization is high and the cell is high-loaded.
通过OTT覆盖采样点评估，计算小区主瓣覆盖中的OTT采样点占比，确定小区工参数据合理性，具体评估算法：利用小区统计到的精准OTT采样点的RSRP覆盖电平，判断小于-110dBm的OTT采样点占比，评估小区覆盖率指标，如覆盖率大于或等于90％，则网络覆盖为覆盖良好，工参配置合理；如覆盖率下雨90％，则为网络弱覆盖小区，工参有可能不合理，进一步判断，将覆盖率小于90％OTT采样点位置(经纬度数据)与基站进行距离判断，如弱覆盖采样点平均距离大于2Km，则为工参不合理，否则合理。Through the OTT coverage sampling point evaluation, the proportion of OTT sampling points in the main lobe coverage of the cell is calculated to determine the rationality of the cell engineering parameter data. The specific evaluation algorithm is: using the RSRP coverage level of the precise OTT sampling points counted by the cell, the proportion of OTT sampling points less than -110dBm is determined, and the cell coverage index is evaluated. If the coverage rate is greater than or equal to 90%, the network coverage is good and the engineering parameter configuration is reasonable; if the coverage rate is less than 90%, it is a cell with weak network coverage, and the engineering parameters may be unreasonable. Further judgment is made by judging the distance between the OTT sampling point position (latitude and longitude data) with a coverage rate less than 90% and the base station. If the average distance between the weak coverage sampling points is greater than 2Km, the engineering parameters are unreasonable, otherwise they are reasonable.
另一方面，通过OTT采样点评估，筛选弱覆盖采样点，具体是通过合并聚类，利用自定义函数Mean(U)确定弱覆盖栅格及弱覆盖中心精确坐标L1，然后通过弱覆盖中心坐标L1(X1,Y1)与基站坐标L2(X2,Y2)，利用自定义的弱覆盖方位判定函数f_Dir(L1,L2)，输出弱覆盖位于主服务小区的方位角，然后评估弱覆盖区域与主瓣覆盖范围的距离关系，判定采用何种覆盖提升措施。On the other hand, through the OTT sampling point evaluation, the weak coverage sampling points are screened. Specifically, the weak coverage grid and the precise coordinates L1 of the weak coverage center are determined by merging clusters and using the custom function Mean(U). Then, the azimuth of the weak coverage in the main service cell is output through the weak coverage center coordinates L 1 (X 1 ,Y 1 ) and the base station coordinates L 2 (X 2 ,Y 2 ) and the custom weak coverage azimuth determination function f_Dir(L 1 ,L 2 ). Then, the distance relationship between the weak coverage area and the main lobe coverage range is evaluated to determine what coverage improvement measures to adopt.
具体地，弱覆盖中心精确坐标L1满足下述公式(2)：Specifically, the precise coordinates L1 of the weak coverage center satisfy the following formula (2):
L1＝Mean(U) (2)L1＝Mean(U) (2)
其中，U表示OTT用户中弱覆盖采样点的位置信息。Wherein, U represents the location information of the weak coverage sampling point among OTT users.
其中，
通过OTT用户中弱覆盖采样点的位置信息和基站的位置信息网络弱覆盖区域的方位角。The azimuth of the network's weak coverage area is obtained through the location information of the weak coverage sampling points of the OTT users and the location information of the base stations.
例如，如图3所示，为弱覆盖用户位置方位角算法的示意图，其中，D1为OTT用户中弱覆盖采样点与基站的距离，而基站的主覆盖小区的方位角为90°±∠a，而根据三角函数原理能够计算得到∠a。For example, as shown in Figure 3, it is a schematic diagram of the azimuth angle algorithm for the weak coverage user location, where D1 is the distance between the weak coverage sampling point of the OTT user and the base station, and the azimuth angle of the main coverage cell of the base station is 90°±∠a, and ∠a can be calculated based on the principle of trigonometric functions.
参见图4所示，为天线下倾角与覆盖范围图解，根据图示可知，主瓣覆盖距离分别为AB、AC；主瓣覆盖宽度为BC；水平半功率角：θe。根据
其中，θ表示天线的下倾角，h表示天线的高度，R表示小区的覆盖半径，A表示天线的垂直平面半功率角。主瓣覆盖边界宽度范围：Where θ represents the downtilt angle of the antenna, h represents the height of the antenna, R represents the coverage radius of the cell, and A represents the vertical plane half-power angle of the antenna. The width range of the main lobe coverage boundary is:
在确定弱覆盖场景类型后，需要对应确定的弱覆盖场景类型，从表二中确定优化网络弱覆盖的方案。After determining the type of weak coverage scenario, it is necessary to determine the solution for optimizing the weak coverage of the network from Table 2 corresponding to the determined type of weak coverage scenario.
本发明实施例提供的网络弱覆盖的识别方法，通过多维度数据源联合分析，问题定位更快、更准；实现农村区域弱覆盖村庄和弱覆盖区域的精准位置识别，实现经纬度级的弱覆盖问题位置定位，实现定量识别。并通过工参合理性评估，可判断现网基站参数设置是否合理，为优化网络质量提供重要依据。The method for identifying network weak coverage provided by the embodiment of the present invention can locate the problem faster and more accurately through joint analysis of multi-dimensional data sources; it can accurately identify the location of villages and areas with weak coverage in rural areas, locate the location of weak coverage problems at the latitude and longitude level, and realize quantitative identification. And through the evaluation of the rationality of the engineering parameters, it can be judged whether the parameter settings of the existing base station are reasonable, providing an important basis for optimizing the network quality.
其次，实现了农村所有弱覆盖问题类型的7种场景模型分类，问题原因识别更精准，为优化解决方案选择提供重要依据。Secondly, we have implemented 7 scenario model classifications for all types of weak coverage problems in rural areas, which allows for more accurate identification of problem causes and provides an important basis for optimizing solution selection.
最后，实现了农村弱覆盖问题精准识别、原因定位、最佳方案选择的自动化处理过程，大提升网络优化效率，节省人力、物力、时间的投入，经济效率显著。Finally, the automated process of accurately identifying rural weak coverage issues, locating causes, and selecting the best solution was achieved, greatly improving network optimization efficiency, saving manpower, material resources, and time, and achieving significant economic efficiency.
参见图5所示，本发明实施例提供了一种网络弱覆盖的识别装置，该装置包括：As shown in FIG5 , an embodiment of the present invention provides a device for identifying weak network coverage, the device comprising:
信息获取模块501，用于获取网络覆盖信息；Information acquisition module 501, used to acquire network coverage information;
信息确定模块502，用于根据网络覆盖信息识别网络弱覆盖区域，并确定网络弱覆盖区域的覆盖范围信息；其中，网络覆盖信息包括：话务统计、OTT、测量报告MR、用户历史投诉信息和网络黑点库。The information determination module 502 is used to identify the network weak coverage area according to the network coverage information and determine the coverage range information of the network weak coverage area; wherein the network coverage information includes: traffic statistics, OTT, measurement report MR, user historical complaint information and network black spot library.
在一个可能的实现中，该装置还包括：In a possible implementation, the device further includes:
信息获取模块501，还用于获取基站的资源利用率、信号发射功率、OTT采样点和参数；The information acquisition module 501 is also used to obtain the resource utilization, signal transmission power, OTT sampling points and parameters of the base station;
类型确定模块503，用于根据覆盖范围信息、基站的配置信息和参数，确定网络弱覆盖区域的弱覆盖场景类型；The type determination module 503 is used to determine the weak coverage scenario type of the network weak coverage area according to the coverage range information, the configuration information and parameters of the base station;
方案确定模块504，用于根据弱覆盖场景类型，确定优化网络弱覆盖的方案。The solution determination module 504 is used to determine a solution for optimizing network weak coverage according to the type of weak coverage scenario.
在一个可能的实现中，信息确定模块502，用于根据网络覆盖信息识别网络弱覆盖区域，包括：In a possible implementation, the information determination module 502 is configured to identify a network weak coverage area according to network coverage information, including:
使用网络弱覆盖算法，分别计算话务统计、OTT、MR、用户历史投诉信息和网络黑点库对应的评估分数；Use the network weak coverage algorithm to calculate the evaluation scores for traffic statistics, OTT, MR, user historical complaint information, and network black spot database;
根据评估分数和网络覆盖信息中每一项信息对应的权重，计算网络覆盖得分；Calculate the network coverage score based on the evaluation score and the weight corresponding to each item of network coverage information;
确定网络覆盖得分满足预设的阈值的区域为网络弱覆盖区域。It is determined that the area where the network coverage score meets the preset threshold is a network weak coverage area.
在一个可能的实现中，类型确定模块503，用于根据覆盖范围信息、基站的资源利用率、信号发射功率、OTT采样点和参数，确定网络弱覆盖区域的弱覆盖场景类型，包括：In one possible implementation, the type determination module 503 is used to determine the type of weak coverage scenario in the network weak coverage area according to the coverage range information, the resource utilization rate of the base station, the signal transmission power, the OTT sampling point and the parameters, including:
获取MR覆盖区域中的用户位置信息；Obtaining user location information in the MR coverage area;
根据参数，确定网络弱覆盖区域的基站天线倾角和方位角的大小；According to the parameters, determine the size of the base station antenna inclination and azimuth in the area with weak network coverage;
根据基站的资源利用率、信号发射功率、OTT采样点和参数，确定基站的参考信号CRS的功率；Determine the power of the reference signal CRS of the base station according to the resource utilization rate, signal transmission power, OTT sampling point and parameters of the base station;
根据覆盖范围信息，确定网络弱覆盖区域与基站主瓣覆盖范围的距离，基站主瓣是基站的最大辐射波束；Based on the coverage information, determine the distance between the network weak coverage area and the base station main lobe coverage. The base station main lobe is the largest radiation beam of the base station.
根据基站天线倾角和方位角的大小、CRS的功率和距离，确定网络弱覆盖区域的弱覆盖场景类型。The type of weak coverage scenario in the network's weak coverage area is determined based on the base station antenna inclination and azimuth, and the power and distance of the CRS.
在一个可能的实现中，弱覆盖场景类型包括网络弱覆盖区域的基站天线倾角是否满足第一预设条件；In a possible implementation, the weak coverage scenario type includes whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition;
类型确定模块503，具体用于根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线倾角是否满足第一预设条件；The type determination module 503 is specifically used to determine whether the base station antenna tilt angle in the network weak coverage area meets the first preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的位置信息；Get the location information of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
根据参数中基站的俯仰角，确定网络弱覆盖区域的基站天线倾角；According to the elevation angle of the base station in the parameters, determine the base station antenna tilt angle in the network weak coverage area;
以基站为中心点，根据泰森多边形算法生成泰森多边形，并计算中心点到泰森多边形中每个边的平均值，作为泰森多边形间距；Taking the base station as the center point, generate Thiessen polygons according to the Thiessen polygon algorithm, and calculate the average value from the center point to each edge in the Thiessen polygon as the Thiessen polygon spacing;
天线倾角的大小满足预设的倾角阈值、用户与基站之间的距离满足预设的距离条件，且泰森多边形间距满足预设的间距阈值，确定网络弱覆盖区域的基站天线倾角满足第一预设条件。The size of the antenna tilt angle meets the preset tilt angle threshold, the distance between the user and the base station meets the preset distance condition, and the Thiessen polygon spacing meets the preset spacing threshold, and it is determined that the base station antenna tilt angle in the network weak coverage area meets the first preset condition.
在一个可能的实现中，弱覆盖场景类型包括网络弱覆盖区域的基站天线方位角是否满足第二预设条件；In a possible implementation, the weak coverage scenario type includes whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition;
类型确定模块503，具体用于根据参数和网络弱覆盖区域内用户位置信息，确定网络弱覆盖区域的基站天线方位角是否满足第二预设条件；The type determination module 503 is specifically used to determine whether the azimuth angle of the base station antenna in the network weak coverage area meets the second preset condition according to the parameter and the user location information in the network weak coverage area;
其中，包括：Among them, include:
获取基站的参数中的基站天线的方位角以及基站的位置信息；Obtaining the azimuth angle of the base station antenna and the location information of the base station from the parameters of the base station;
根据用户位置信息和基站的位置信息，确定用户与基站之间的距离；Determine the distance between the user and the base station based on the user location information and the base station location information;
基于用户位置信息，在基站的覆盖方位内确定用户分布的方位信息和用户的分布密度；Based on the user location information, determine the location information of the user distribution and the distribution density of the user within the coverage area of the base station;
根据用户分布的方位信息、用户与基站的距离和用户的分布密度，计算用户平均分布方位角；Calculate the average distribution angle of users according to the azimuth information of user distribution, the distance between users and base stations, and the distribution density of users;
基站天线方位角与用户平均分布方位角之间的差值小于预设的方位角阈值，确定网络弱覆盖区域的基站天线的方位角满足第二预设条件。The difference between the azimuth of the base station antenna and the azimuth of the average distribution of users is less than a preset azimuth threshold, and it is determined that the azimuth of the base station antenna in the network weak coverage area meets the second preset condition.
另外，本发明实施例的方法可以由计算设备来实现。图6示出了本发明实施例提供的计算设备的硬件结构示意图。In addition, the method of the embodiment of the present invention can be implemented by a computing device. Fig. 6 shows a schematic diagram of the hardware structure of a computing device provided by an embodiment of the present invention.
计算设备可以包括处理器601以及存储有计算机程序指令的存储器602。The computing device may include a
具体地，上述处理器601可以包括中央处理器(CPU)，或者特定集成电路(Application Specific Integrated Circuit，ASIC)，或者可以被配置成实施本发明实施例的一个或多个集成电路。Specifically, the
存储器602可以包括用于数据或指令的大容量存储器。举例来说而非限制，存储器602可包括硬盘驱动器(Hard Disk Drive，HDD)、软盘驱动器、闪存、光盘、磁光盘、磁带或通用串行总线(Universal Serial Bus，USB)驱动器或者两个或更多个以上这些的组合。在合适的情况下，存储器602可包括可移除或不可移除(或固定)的介质。在合适的情况下，存储器602可在数据处理装置的内部或外部。在特定实施例中，存储器602是非易失性固态存储器。在特定实施例中，存储器602包括只读存储器(ROM)。在合适的情况下，该ROM可以是掩模编程的ROM、可编程ROM(PROM)、可擦除PROM(EPROM)、电可擦除PROM(EEPROM)、电可改写ROM(EAROM)或闪存或者两个或更多个以上这些的组合。The
处理器601通过读取并执行存储器602中存储的计算机程序指令，以实现上述实施例中的任意一种网络弱覆盖的识别方法。The
在一个示例中，计算设备还可包括通信接口603和总线610。其中，如图6所示，处理器601、存储器602、通信接口603通过总线610连接并完成相互间的通信。In one example, the computing device may further include a
通信接口603，主要用于实现本发明实施例中各模块、装置、单元和/或设备之间的通信。The
总线610包括硬件、软件或两者，将计算设备的部件彼此耦接在一起。举例来说而非限制，总线可包括增强工业标准架构(EISA)总线、前端总线(FSB)、超传输(HT)互连、工业标准架构(ISA)总线、无限带宽互连、低引脚数(LPC)总线、存储器总线、微信道架构(MCA)总线、外围组件互连(PCI)总线、PCI-Express(PCI-X)总线、串行高级技术附件(SATA)总线、视频电子标准协会局部(VLB)总线或其他合适的总线或者两个或更多个以上这些的组合。在合适的情况下，总线610可包括一个或多个总线。尽管本发明实施例描述和示出了特定的总线，但本发明考虑任何合适的总线或互连。
另外，结合上述实施例中的网络弱覆盖的识别方法，本发明实施例可提供一种计算机可读存储介质来实现。该计算机可读存储介质上存储有计算机程序指令；该计算机程序指令被处理器执行时实现上述实施例中的任意一种网络弱覆盖的识别方法。In addition, in combination with the method for identifying weak network coverage in the above embodiments, an embodiment of the present invention may provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by a processor, any one of the methods for identifying weak network coverage in the above embodiments is implemented.
需要明确的是，本发明并不局限于上文所描述并在图中示出的特定配置和处理。为了简明起见，这里省略了对已知方法的详细描述。在上述实施例中，描述和示出了若干具体的步骤作为示例。但是，本发明的方法过程并不限于所描述和示出的具体步骤，本领域的技术人员可以在领会本发明的精神后，作出各种改变、修改和添加，或者改变步骤之间的顺序。It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.
以上的结构框图中所示的功能块可以实现为硬件、软件、固件或者它们的组合。当以硬件方式实现时，其可以例如是电子电路、专用集成电路(ASIC)、适当的固件、插件、功能卡等等。当以软件方式实现时，本发明的元素是被用于执行所需任务的程序或者代码段。程序或者代码段可以存储在机器可读介质中，或者通过载波中携带的数据信号在传输介质或者通信链路上传送。“机器可读介质”可以包括能够存储或传输信息的任何介质。机器可读介质的例子包括电子电路、半导体存储器设备、ROM、闪存、可擦除ROM(EROM)、软盘、CD-ROM、光盘、硬盘、光纤介质、射频(RF)链路，等等。代码段可以经由诸如因特网、内联网等的计算机网络被下载。The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present invention are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.
还需要说明的是，本发明中提及的示例性实施例，基于一系列的步骤或者装置描述一些方法或系统。但是，本发明不局限于上述步骤的顺序，也就是说，可以按照实施例中提及的顺序执行步骤，也可以不同于实施例中的顺序，或者若干步骤同时执行。It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.
以上，仅为本发明的具体实施方式，所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，上述描述的系统、模块和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。应理解，本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到各种等效的修改或替换，这些修改或替换都应涵盖在本发明的保护范围之内。The above is only a specific implementation of the present invention. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be covered within the protection scope of the present invention.
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