WO2016090765A1 - 一种网络分层方法和装置 - Google Patents

一种网络分层方法和装置 Download PDF

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Publication number
WO2016090765A1
WO2016090765A1 PCT/CN2015/075052 CN2015075052W WO2016090765A1 WO 2016090765 A1 WO2016090765 A1 WO 2016090765A1 CN 2015075052 W CN2015075052 W CN 2015075052W WO 2016090765 A1 WO2016090765 A1 WO 2016090765A1
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network
cell network
neighboring cell
neighboring
local
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PCT/CN2015/075052
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English (en)
French (fr)
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王洪建
范学锋
乌毅辉
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中兴通讯股份有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition

Definitions

  • the present invention relates to the field of mobile communications, and in particular, to a network layering method and apparatus.
  • Network layering is an important foundation for existing switching mechanisms.
  • Each cell has its own hierarchical relationship with all its neighbors. Under normal circumstances, a community has about 10 neighboring areas, and when it is more than 20, it has reached 20 neighboring areas.
  • the amount of measurement data that needs to be analyzed by manually stratifying the network is very large, and it is difficult to achieve accurate stratification in a time-consuming and labor-intensive manner. As the network changes, manually adjusting the hierarchical relationship will also bring a lot of maintenance costs.
  • the high-band signal is fast decayed, mainly used to absorb traffic, and is generally set to the lower layer of the network (hereinafter referred to as high-frequency network).
  • the low-band signal is slow to attenuate and is mainly used for coverage. It is generally set to the upper layer of the network (hereinafter referred to as the low-frequency network).
  • FIG. 1 is a schematic flowchart of an existing artificial network layering method. As shown in FIG. 1 , the artificial network layering method mainly includes the following steps:
  • Step 101 Obtain data of a high frequency network and a low frequency network when a new network, network change, and period maintenance are performed;
  • Step 102 Set the high frequency network to be under the low frequency network through data analysis and parameter modification.
  • Layer network
  • Step 103 The low frequency network is set as an upper layer network of the high frequency network by using data analysis and parameter modification manner;
  • Step 104 Set the intra-frequency network to be the same layer network of the network by using data analysis and parameter modification.
  • the embodiment of the present invention is to provide a network layering method and device, which can solve the problem that the existing artificial network has low layering efficiency, cannot adapt to network changes in time, and has high maintenance cost.
  • an embodiment of the present invention provides a network layering method, where the method includes the following steps:
  • all neighboring networks are set as the same layer network of the cell network
  • the step of automatically setting the network level of the neighboring cell network relative to the local cell network according to the level of the neighboring cell network in a preset time period and the network level comprises:
  • the network layer of the neighboring cell network relative to the local cell network is automatically set.
  • the first preset condition includes: the first predetermined ratio of the level sampling value is greater than the first preset.
  • the step of automatically setting the network layer of the neighboring cell network relative to the local cell network includes: automatically setting the neighboring cell network to a lower layer network of the local cell network;
  • the first preset condition includes: a second predetermined ratio of the level sampling value is greater than a second preset threshold;
  • the step of setting the network layer of the neighboring cell network with respect to the local cell network includes: automatically setting the neighboring cell network as an upper layer network of the local cell network.
  • the method further includes:
  • the step of automatically setting the network level of the neighboring cell network relative to the local cell network according to the level of the neighboring cell network in a preset time period and the network layer further includes:
  • the network of the neighboring cell network relative to the local cell network is automatically set. level.
  • the second setting condition includes: The third predetermined ratio of the level sampling value is smaller than the third preset threshold; the step of automatically setting the network layer of the neighboring cell network relative to the local cell network comprises: automatically setting the neighboring cell network to the The same layer network of the cell network;
  • the second preset condition includes: fourth The step of the predetermined level is smaller than the fourth preset threshold; the step of automatically setting the network level of the neighbor network relative to the local cell network includes: automatically setting the neighbor network Set as the same layer network of the local cell network.
  • the method further includes:
  • the neighboring cell network is not the same layer network of the local cell network, and the level sampling value does not satisfy the second preset condition, maintaining the current neighboring cell network relative to the local cell network The network level remains the same.
  • an embodiment of the present invention further provides a network layering apparatus, including: an initialization module, a network layer acquisition module, and a network hierarchy setting module;
  • the initialization module is configured to set all neighboring networks to be the same layer network of the cell network in an initial state
  • the network layer acquiring module is configured to acquire a network layer of the current neighboring cell network relative to the local cell network, where the neighboring cell network and the local cell network are in different frequency band levels;
  • the network level setting module is configured to automatically set a network level of the neighboring cell network relative to the local cell network according to a level sampling value of the neighboring cell network in a preset time period and the network layer.
  • the network level setting module is configured to automatically set the neighbor when the current neighbor network is the same layer network of the local cell network, and the level sampling value meets the first preset condition The network level of the area network relative to the local cell network.
  • the network layer setting module is further configured to automatically set the current neighbor network to be the same layer network of the local cell network, and the level sampling value satisfies the second preset condition.
  • the network level of the neighboring cell network relative to the local cell network.
  • the network layering method and device provided by the embodiment of the present invention, in the initial state, all the neighboring cell networks are set as the same layer network of the cell network; and the network layer of the current neighboring cell network relative to the cell network is obtained.
  • the neighboring cell network and the local cell network are in different frequency band levels; and the neighboring cell network is automatically set according to the level sampling value of the neighboring cell network in a preset time period and the network layer. Describe the network level of the cell network; Network tiering should be carried out automatically and accurately, saving a lot of manpower and material resources and reducing maintenance costs.
  • 1 is a schematic flow chart of an existing artificial network layering method
  • FIG. 2 is a schematic flowchart of a first network layering method according to Embodiment 1 of the present invention
  • FIG. 3 is a schematic flowchart of a second network layering method according to Embodiment 1 of the present invention.
  • FIG. 4 is a schematic flowchart of a third network layering method according to Embodiment 1 of the present invention.
  • FIG. 5 is a schematic flowchart diagram of a fourth network layering method according to Embodiment 1 of the present invention.
  • FIG. 6 is a schematic flowchart of a network layering method according to Embodiment 2 of the present invention.
  • FIG. 7 is a schematic flowchart diagram of another network layering method according to Embodiment 2 of the present invention.
  • FIG. 8 is a schematic structural diagram of a network layering apparatus according to Embodiment 3 of the present invention.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • this embodiment provides a network layering method, as shown in FIG. 2, the network layering method is mainly Including the following steps:
  • Step 201 In the initial state, all neighboring networks are set as the same layer network of the cell network.
  • all neighboring networks are preferably set to be the same layer network of the cell network, that is, the neighboring cell is in the same layer as the local cell.
  • Step 202 Acquire a network layer of the current neighboring cell network with respect to the local cell network, where the neighboring cell network and the local cell network are at different frequency band levels.
  • the cell network frequency band is generally divided into two levels of a high frequency band and a low frequency band, therefore,
  • the network of the cell may be a low-band network
  • the neighboring network may be a high-band network
  • the network of the cell may be a high-band network
  • the neighboring network may be a high-band network.
  • the network level of the neighboring cell network changes relative to the network of the cell.
  • the current neighboring cell network is the same layer network or the upper layer network or the lower layer network of the cell, so that it is possible Appears; this step can obtain the network level of the current neighbor network relative to the local network.
  • this step can be performed after detecting that the cell network has changed.
  • the execution timing of this step can be set according to actual needs. For example, it can be executed or periodically executed after detecting that the neighbor network changes.
  • Step 203 Automatically set a network layer of the neighboring cell network with respect to the local cell network according to the level sampling value of the neighboring cell network in a preset time period and the network layer.
  • the level sampling value in this step is: the value of the neighboring network level during the preset time t.
  • the method for obtaining the specific level sampling value may include: performing radio link measurement on the neighboring area to obtain the power during the preset time t The sample value is flat and then reported by the terminal.
  • the hierarchical relationship between the current neighboring cell network and the local cell network and the level sampling of the neighboring cell network may be used to determine whether to set the network layer of the neighboring cell network.
  • This step may include at least one of the following 1 and 2 cases. One:
  • Network level specifically, it may include at least one of a and b:
  • the network in the local area is a low frequency band network
  • the neighboring area network is a high frequency band network
  • the first preset condition includes: a level sampling value of the first predetermined ratio is greater than a first preset threshold;
  • the step of automatically setting the network layer of the neighboring cell network with respect to the local cell network includes: automatically setting the neighboring cell network as a lower layer network of the local cell network;
  • the first preset ratio, the first preset threshold, and the preset time period may be configured by the background according to requirements.
  • the first preset condition includes: the second predetermined ratio of the level sampling value is greater than the second preset threshold, when the network in the local area is a high frequency band network, and the neighboring area network is a low frequency band network;
  • the step of automatically setting the network level of the neighboring cell network relative to the local cell network includes: automatically setting the neighboring cell network to an upper layer network of the local cell network.
  • the first preset ratio, the first preset threshold, and the preset time period may be configured by the background according to requirements.
  • the network hierarchy may include at least one of c and d:
  • the neighboring cell network is a high-band network
  • the neighboring cell network is the lower-layer network of the local cell network
  • the second setting condition includes: the third predetermined ratio of the level sampling value is less than the third preset threshold;
  • the step of automatically setting the network layer of the neighboring cell network relative to the local cell network includes: automatically setting the neighboring cell network to a peer network of the local cell network;
  • the neighboring cell network is a low-band network
  • the neighboring cell network is the upper-layer network of the local cell network
  • the second preset condition includes: the level sampling value of the fourth predetermined ratio is less than the fourth preset threshold;
  • the step of automatically setting the network layer of the neighboring cell network relative to the local cell network includes: automatically setting the neighboring cell network to a peer network of the local cell network.
  • the method of the embodiment can be used to adapt to network changes in time, automatically and accurately perform network layering, save a lot of manpower and material resources, and save network maintenance costs.
  • the network layering method in this embodiment may further include:
  • the network layering method in this embodiment may further include:
  • the neighboring cell network is not the same layer network of the local cell network, and the level sampling value does not satisfy the second preset condition, maintaining the current neighboring cell network relative to the local cell network The network level remains the same.
  • the network layering method in this embodiment may include:
  • Step 301 In the initial state, set all neighboring networks to be the same layer network of the cell network;
  • Step 302 After the neighbor network changes, obtain a network level of the current neighbor network relative to the local network;
  • the neighboring cell network and the local cell network are in different frequency band levels
  • Step 303 Determine whether the neighboring cell network is the same layer network of the cell network, and if yes, go to step 304, if no, go to step 305;
  • Step 304 Determine whether the level sample value of the neighboring network in the preset time period satisfies the first preset condition, and if yes, execute 306, if not, execute step 307;
  • Step 305 Determine whether the level sample value of the neighboring network in the preset time period satisfies the second preset condition, and if yes, execute step 306, if no, go to step 307;
  • Step 306 Automatically set a network level of the neighboring cell network with respect to the local cell network.
  • Step 307 Keep the network level of the current neighboring cell network relative to the local cell network unchanged.
  • steps 302-307 can be used to dynamically set each neighboring cell network to implement network layering.
  • the neighboring cell networks may be traversed periodically, and the neighboring cell networks are dynamically layered according to steps 302-307.
  • the following describes the network layering method in this embodiment by using the network of the cell as the low-band network and the neighboring network as the high-band network. As shown in FIG. 4, the method includes the following steps:
  • Step 401 In the initial state, set all neighboring networks to be the same layer network of the cell network;
  • Step 402 Determine whether the neighboring cell network is the same layer network or the lower layer network of the cell network, if it is the same layer network, step 403 is performed, and if it is the lower layer network, step 406 is performed;
  • Step 403 Determine whether the level sampling value of the neighboring network in the preset time period satisfies the first preset condition, and if yes, execute step 404, if no, perform step 405;
  • Step 404 Automatically set the neighboring cell network to be a lower layer network of the cell network.
  • Step 405 Keep the network layer of the neighboring cell network unchanged from the network of the local cell
  • Step 406 Determine whether the level sample value of the neighboring network in the preset time period meets the second preset condition, and if yes, execute step 407, if no, execute step 408;
  • this step can be performed after detecting that the network or the neighbor network changes.
  • Step 407 Automatically set the neighboring cell network to be the same layer network of the cell network
  • Step 408 Keep the network layer of the neighboring cell network unchanged with respect to the network of the local cell.
  • the first preset condition and the second preset condition in the steps 403 and 406 may refer to the description of the first preset condition and the second preset condition when the local cell network is a low frequency band network and the neighboring area network is a high frequency band network. .
  • the method in this embodiment may perform dynamic layering on each neighboring cell network of the local cell network according to the processes in steps 402-408.
  • this embodiment may also periodically perform dynamic layering on each neighboring cell network of the cell network by using steps 402-408; for example, after layering all neighboring networks, after the period T is reached, follow the steps.
  • the processes described in 402 to 408 are dynamically layered one by one for each neighboring cell network of the cell network.
  • the network layering method of this embodiment includes the following steps:
  • Step 501 In the initial state, set all neighboring cell networks to be the same layer network of the cell network;
  • Step 502 Determine whether the neighboring cell network is the same layer network or the upper layer network of the cell network, if it is the same layer network, go to step 503, if it is the upper layer network, go to step 506;
  • the execution is performed;
  • Step 503 Determine whether the level sampling value of the neighboring network in the preset time period satisfies the first preset condition, and if yes, execute step 504, if no, execute step 505;
  • Step 504 Automatically set the neighboring cell network to be an upper layer network of the cell network.
  • Step 505 Keep the network layer of the neighboring cell network unchanged from the network of the local cell
  • Step 506 Determine whether the level sampling value of the neighboring network in the preset time period meets the second preset condition, and if yes, execute step 507, if no, execute step 508;
  • Step 507 Automatically set the neighboring cell network to be the same layer network of the cell network
  • Step 508 Keep the network level of the neighboring cell network unchanged with respect to the network of the local cell.
  • the first preset condition and the second preset condition in the steps 503 and 506 may refer to the foregoing descriptions about the first preset condition and the second preset condition when the local cell network is a high frequency band network and the neighboring area network is a low frequency band network. .
  • the method in this embodiment may perform dynamic layering on each neighboring cell network of the local cell network according to the procedures of steps 502-508.
  • this embodiment may also periodically perform dynamic layering on each neighboring cell network of the cell network by using steps 502-508; for example, after layering all neighboring networks, after the period T is reached, follow the steps.
  • the processes described in 502-508 are dynamically layered on a network of neighboring cells of the own cell network.
  • the method of this embodiment can be applied to a high frequency continuous coverage type network.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • This embodiment introduces a network layering method according to the first embodiment by using a Global System for Mobile (GSM) network as an example:
  • GSM Global System for Mobile
  • P-GSM mainly used: P-GSM, E-GSM, GSM 850, DCS 1800, PCS 1900. It is generally recommended in the art that P-GSM, E-GSM, and GSM 850 are regarded as the same frequency band, that is, the low frequency band described above; DCS 1800 and PCS 1900 are regarded as the same frequency band, that is, the high frequency band described above.
  • the low frequency band signal is used in the cell network, and the high frequency band signal is used in the high frequency band network;
  • P-GSM is basic GSM
  • E-GSM is extended GSM
  • DCS is the abbreviation of Digital Cellular System, its Chinese name is digital cellular system
  • PCS is the abbreviation of Personal Communications Service, its Chinese meaning is personal communication service.
  • the network layering method in this embodiment includes:
  • Step 601 In the initial state, set all neighboring networks to be the same layer network of the cell network;
  • Step 602 Determine whether the neighboring cell network is the same layer network or the lower layer network of the cell network, if it is the same layer network, step 603 is performed, and if it is the lower layer network, step 606 is performed;
  • the detection may be performed after the network or the neighboring network network is changed; of course, the timing of performing the step may be set according to the actual needs of the user;
  • Step 603 Determine whether the N1% level sample value of the neighboring cell network in time t is greater than the level K1, and if yes, execute step 604, if not, execute step 605;
  • N1, K1, and t are configured by the background. Generally, N1 is set to 70, K1 is set to -80dB, and t is set to 1 day.
  • Step 604 Automatically set the neighboring cell network to be a lower layer network of the cell network.
  • Step 605 Keep the network layer of the neighboring cell network unchanged from the network of the local cell
  • Step 606 Determine whether the N2% sample value of the neighboring cell network is less than the level K2 in the time t, If yes, go to step 607, if no, go to step 608;
  • N2, K2, t are configured by the background, generally N2 is set to 70, K2 is set to -80dB, and t is set to 1 day;
  • Step 607 Automatically set the neighboring cell network to be the same layer network of the cell network
  • Step 608 Keep the network layer of the neighboring cell network unchanged with respect to the network of the local cell.
  • the method in this embodiment may perform dynamic layering on each neighboring cell network of the local cell network according to the process described in steps 602-608.
  • the embodiment may also periodically perform dynamic layering on each neighboring cell network of the local cell network by using steps 602-608.
  • the network layering method in this embodiment includes:
  • Step 701 In the initial state, set all neighboring networks to be the same layer network of the cell network;
  • Step 702 Determine whether the neighboring cell network is the same layer network or the upper layer network of the cell network, if it is the same layer network, go to step 703, if it is the upper layer network, go to step 706;
  • the detection may be performed after the network or the neighboring network network is changed; of course, the timing of performing the step may be set according to the actual needs of the user;
  • Step 703 Determine whether the N3% level sample value of the neighbor network in the time t is greater than the level K3, and if so, proceed to step 704, and if not, execute step 705;
  • N3, K3, and t are configured by the background. Generally, N3 is set to 70, K3 is set to -80dB, and t is set to 1 day.
  • Step 704 Automatically set the neighboring cell network to be an upper layer network of the cell network.
  • Step 705 Keep the network layer of the neighboring cell network unchanged from the network of the local cell
  • Step 706 Determine whether the N4% level sample value of the neighboring cell network is less than the level K4 in the time t, if yes, go to step 707, if no, go to step 708;
  • N4, K4, t are configured by the background, generally N4 is set to 70, K4 is set to -80dB, t setting For 1 day;
  • Step 707 Automatically set the neighboring cell network to be the same layer network of the cell network
  • Step 708 Keep the network level of the neighboring cell network relative to the network of the cell unchanged.
  • the method in this embodiment may perform dynamic layering on each neighboring cell network of the local cell network according to the process described in steps 702-708. In addition, this embodiment may also periodically perform dynamic layering on each neighboring cell network of the local cell network by using steps 702-708.
  • the period T in which the neighboring cell networks of the own cell network are dynamically layered is configured by the background, and the T value configuration is not less than t. For example, after all the neighboring networks are layered, after the period T is reached, the neighboring network of the cell network is dynamically layered according to the processes described in steps 702-708.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • this embodiment provides a network layering apparatus, including: an initialization module 81, a network level acquisition module 82, and a network hierarchy setting module 83;
  • the initialization module 81 is configured to set all neighboring networks to be the same layer network of the cell network in an initial state
  • the network layer obtaining module 82 is configured to acquire a network layer of the current neighboring cell network relative to the local cell network, where the neighboring cell network and the local cell network are in different frequency band levels;
  • the network layer setting module 83 is configured to automatically set a network level of the neighboring cell network relative to the local cell network according to the level sampling value of the neighboring cell network in a preset time period and the network layer .
  • the network level setting module 83 is configured to automatically set the current neighbor network to be the same layer network of the local cell network, and the level sampling value meets the first preset condition.
  • the neighboring area network is relative to the network level of the local cell network.
  • the network level setting module 83 is further configured to automatically set when the current neighbor network is not the same layer network of the local cell network, and the level sampling value satisfies the second preset condition.
  • the neighboring cell network is relative to the network layer of the local cell network.
  • the network layering device provided in this embodiment can adapt to network changes in time, accurately perform network layering, and save a lot of manpower and material resources.
  • the network layering device may be applied to the communication field;
  • the initialization module 81, the network layer obtaining module 82, and the network layer setting module 83 may be the central processing unit (CPU) in the terminal or device to which the network layering device belongs. , Central Processing Unit), digital signal processor (DSP, Digital Signal Processor) or Field Programmable Gate Array (FPGA) implementation.
  • CPU central processing unit
  • DSP digital signal processor
  • FPGA Field Programmable Gate Array
  • all the neighboring cell networks are set as the same layer network of the cell network in the initial state; the network layer of the current neighboring cell network is compared with the local cell network, and the neighboring cell network and the local cell are obtained.
  • the network is at a different frequency band level; and the network layer of the neighboring cell network relative to the local cell network is automatically set according to the level sampling value of the neighboring cell network in a preset time period and the network layer.

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Abstract

本发明公开了一种网络分层方法和装置。其中，所述网络分层方法包括：在初始状态下，将所有邻区网络设置为本小区网络的同层网络；获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。

Description

一种网络分层方法和装置 技术领域
本发明涉及移动通信领域，尤其涉及一种网络分层方法和装置。
背景技术
无线通信发展至今，无线网络覆盖越来越密集，规模越来越庞大。建网之后城市建设、改造等带来的无线环境变化，基站设备拆除、新建等无线信号覆盖变化对于运营网络造成较大影响。各运营商需要一直保持对已有网络的不断维护、优化工作，以适应不断变化的无线环境和覆盖。在网络运营维护中，切换是保证用户高质量、不间断进行业务的重要手段。
网络分层是现有切换机制的重要基础。网络层次定义有4种：上层、同层、下层、未定义层。每个小区和自己所有的邻区都有不同的层次关系。一般情况下一个小区有10个左右的邻区，多的时候达到20个邻区。人工对网络进行分层设置需要分析的测量数据量十分庞大，耗时、耗力很难做到准确分层。随着网络的变化，人工调整层次关系也会带来大量的维护成本。
无线传输过程中，高频段信号衰减快，主要用来吸收话务，一般设置为网络的下层(下文简称高频网络)。低频段信号衰减慢，主要用来覆盖，一般设置为网络的上层(下文简称低频网络)。
图1为现有的人工网络分层方法的流程示意图，如图1所示，该人工网络分层方法主要包括以下步骤：
步骤101：当新建网络、网络变更、周期维护时，获取高频网络、低频网络的数据；
步骤102：通过数据分析和参数修改方式将高频网络设为低频网络的下 层网络；
步骤103：通过数据分析和参数修改方式将低频网络设为高频网络的上层网络；
步骤104：通过数据分析和参数修改方式将同频网络设为本网络的同层网络。
但是，这种人工网络分层方法效率低，不能及时适应网络变化，维护成本较高。
发明内容
有鉴于此，本发明实施例期望提供一种网络分层方法和装置，能够解决现有人工网络分层效率低、不能及时适应网络变化和维护成本较高的问题。
为解决上述技术问题，本发明实施例提供一种网络分层方法，该方法包括如下步骤：
在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；
根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。
优选地，所述根据所述邻区网络在预设时间段内的电平和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：
在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值满足第一预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
优选地，当所述本小区网络为低频段网络，所述邻区网络为高频段网络时，所述第一预设条件包括：第一预定比例的电平采样值大于第一预设 阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的下层网络；
当所述本小区网络为高频段网络，所述邻区网络为低频段网络时，所述第一预设条件包括：第二预定比例的电平采样值大于第二预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的上层网络。
优选地，所述方法还包括：
在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值不满足第一预设条件时，保持当前所述邻区网络相对于所述本小区网络的网络层次不变。
优选地，所述根据所述邻区网络在预设时间段内的电平和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤还包括：
在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值满足第二预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
优选地，当所述本小区网络为低频段网络，所述邻区网络为高频段网络，且当前所述邻区网络为所述本小区网络的下层网络时，所述第二设条件包括：第三预定比例的电平采样值小于第三预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的同层网络；
当所述本小区网络为高频段网络，所述邻区网络为低频段网络，且当前所述邻区网络为所述本小区网络的上层网络时，所述第二预设条件包括：第四预定比例的电平采样值小于第四预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设 置为所述本小区网络的同层网络。
优选地，所述方法还包括：
在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值不满足第二预设条件时，保持当前所述邻区网络相对于所述本小区网络的网络层次不变。
同样为了解决上述的技术问题，本发明实施例还提供了一种网络分层装置，包括：初始化模块、网络层次获取模块和网络层次设置模块；
所述初始化模块，配置为在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
所述网络层次获取模块，配置为获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；
所述网络层次设置模块，配置为根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。
进一步地，所述网络层次设置模块，配置为在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值满足第一预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
进一步地，所述网络层次设置模块，还配置为在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值满足第二预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
本发明实施例所提供的一种网络分层方法和装置，在初始状态下，将所有邻区网络设置为本小区网络的同层网络；获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次；如此，可以时适 应网络变化，自动且准确地进行网络分层，节省大量人力物力，减少了维护成本。
附图说明
图1为现有的人工网络分层方法的流程示意图；
图2为本发明实施例一提供的第一种网络分层方法的流程示意图；
图3为本发明实施例一提供的第二种网络分层方法的流程示意图；
图4为本发明实施例一提供的第三种网络分层方法的流程示意图；
图5为本发明实施例一提供的第四种网络分层方法的流程示意图；
图6为本发明实施例二提供的一种网络分层方法的流程示意图；
图7为本发明实施例二提供的另一种网络分层方法的流程示意图；
图8为本发明实施例三提供的一种网络分层装置的结构示意图。
具体实施方式
下面通过具体实施方式结合附图对本发明作进一步详细说明。
实施例一：
考虑到，现有人工网络分层效率低、不能及时适应网络变化和维护成本较高的技术问题，本实施例提供了一种网络分层方法，如图2所示，该网络分层方法主要包括如下步骤：
步骤201：在初始状态下，将所有邻区网络设置为本小区网络的同层网络。
在网络分层的初始阶段，首选将所有邻区网络设置为本小区网络的同层网络，即邻区与本小区同层。
步骤202：获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别。
目前，一般将小区网络频段划分为高频段和低频段两个级别，因此， 本实施例中本小区网络可以为低频段网络、邻区网络可以为高频段网络，或者本小区网络可以为高频段网络、邻区网络可以为高频段网络。
在初始设置之后，随着邻区网络变化，邻区网络相对于本小区网络的网络层次也发生变化，例如当前邻区网络为本小区的同层网络或上层网络或下层网络，这样都有可能出现；本步骤可以获取当前邻区网络相对于本小区网络的网络层次。
优先地，本步骤可以在检测到小区网络发生变化之后，才执行。当然本步骤的执行时机可以根据实际需求设定，例如，可以在检测到邻区网络发生变化之后才执行或者周期性的执行。
步骤203：根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。
本步骤中电平采样值为：预设时间t期间邻区网络电平的采用值，具体电平采样值的获取方式可以包括：对邻区进行无线链路测量获取预设时间t期间的电平采样值，然后由终端上报。
具体地，本步骤可以通过当前邻区网络与本小区网络的层次关系、和邻区网络的电平采样至来决定是否设置邻区网络的网络层次，本步骤可以包括以下1、2情况中至少一种：
1、在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值满足第一预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次；具体地，可以包括a、b中的至少一种情况：
a、在所述本小区网络为低频段网络，所述邻区网络为高频段网络时，
所述第一预设条件包括：第一预定比例的电平采样值大于第一预设阈值；
所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的下层网络；
本实施例中第一预设比例、第一预设阈值、和预设时间段均可由后台根据需求配置。
b、在所述本小区网络为高频段网络，所述邻区网络为低频段网络时，所述第一预设条件包括：第二预定比例的电平采样值大于第二预设阈值；
所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的上层网络。
本实施例中第一预设比例、第一预设阈值、和预设时间段均可由后台根据需求配置。
2、在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值满足第二预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次；具体地，可以包括c、d中至少一种情况：
c、当所述本小区网络为低频段网络，所述邻区网络为高频段网络，且当前所述邻区网络为所述本小区网络的下层网络时；
所述第二设条件包括：第三预定比例的电平采样值小于第三预设阈值；
所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的同层网络；
d、当所述本小区网络为高频段网络，所述邻区网络为低频段网络，且当前所述邻区网络为所述本小区网络的上层网络时，
所述第二预设条件包括：第四预定比例的电平采样值小于第四预设阈值；
所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的同层网络。
应用本实施例方法可以能够及时适应网络变化，自动且准确进行网络分层，节省大量人力物力，节省网络维护成本。
优先地，在上述内容基础上，本实施例网络分层方法还可以包括：
在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值不满足第一预设条件时，保持当前所述邻区网络相对于所述本小区网络的网络层次不变；
进一步地，在上述内容基础上，本实施例网络分层方法还可以包括：
在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值不满足第二预设条件时，保持当前所述邻区网络相对于所述本小区网络的网络层次不变。
根据上述的描述，如图3所示，本实施例网络分层方法可以包括：
步骤301：在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
步骤302：在邻区网络变化之后，获取当前邻区网络相对于本小区网络的网络层次；
其中，所述邻区网络与所述本小区网络处于不同的频段级别；
步骤303：判断所述邻区网络是否为本小区网络的同层网络，若是，则执行步骤304，若否，则执行步骤305；
步骤304：判断所述邻区网络在预设时间段内的电平采样值是否满足第一预设条件，若是，则执行306，若否，则执行步骤307；
步骤305：判断所述邻区网络在预设时间段内的电平采样值是否满足第二预设条件，若是，则执行步骤306，若否，则执行步骤307；
步骤306：自动设置所述邻区网络相对于所述本小区网络的网络层次；
步骤307：保持当前所述邻区网络相对于所述本小区网络的网络层次不变。
本实施例可以采用步骤302～307逐一对各个邻区网络进行动态设置，实现网络分层。另外，本实施例还可以周期性地遍历各个邻区网络，按照步骤302～307对邻区网络进行动态分层。
下面以本小区网络为低频段网络、邻区网络为高频段网络为例，来介绍本实施例的网络分层方法，如图4所示，包括如下步骤：
步骤401：在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
步骤402：判断邻区网络为本小区网络的同层网络还是下层网络，若是同层网络，则执行步骤403，若是下层网络，执行步骤406；
步骤403：判断所述邻区网络在预设时间段内的电平采样值是否满足第一预设条件，若是，则执行步骤404，若否，则执行步骤405；
步骤404：自动设置邻区网络为本小区网络的下层网络；
步骤405：保持邻区网络相对于本小区网络的网络层次不变；
步骤406：判断所述邻区网络在预设时间段内的电平采样值是否满足第二预设条件，若是，则执行步骤407，若否，则执行步骤408；
优先地，本步骤中可以在检测到网络或者邻区网络发生变化之后才执行
步骤407：自动设置邻区网络为本小区网络的同层网络；
步骤408：保持邻区网络相对于本小区网络的网络层次不变。
步骤403和406中第一预设条件和第二预设条件可参考上述当本小区网络为低频段网络、邻区网络为高频段网络时关于第一预设条件和第二预设条件的描述。
本实施例方法可以按照步骤402～408的过程逐一对本小区网络的各邻区网络进行动态分层。另外，本实施例还可以周期性地利用步骤402～408逐一对本小区网络的各邻区网络进行动态分层；例如在对所有邻区网络分层完之后，在周期T达到后，再按照步骤402～408所述的过程逐一对本小区网络的各邻区网络进行动态分层。
下面以本小区网络为高频段网络、邻区网络为低频段网络例，来介绍 本实施例的网络分层方法，如图5所示，包括如下步骤：
步骤501：在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
步骤502：判断邻区网络为本小区网络的同层网络还是上层网络，若是同层网络，则执行步骤503，若是上层网络，执行步骤506；
优先地，本步骤中可以在检测到网络或者邻区网络发生变化之后才执行；
步骤503：判断所述邻区网络在预设时间段内的电平采样值是否满足第一预设条件，若是，则执行步骤504，若否，则执行步骤505；
步骤504：自动设置邻区网络为本小区网络的上层网络；
步骤505：保持邻区网络相对于本小区网络的网络层次不变；
步骤506：判断所述邻区网络在预设时间段内的电平采样值是否满足第二预设条件，若是，则执行步骤507，若否，则执行步骤508；
步骤507：自动设置邻区网络为本小区网络的同层网络；
步骤508：保持邻区网络相对于本小区网络的网络层次不变。
步骤503和506中第一预设条件和第二预设条件可参考上述当本小区网络为高频段网络、邻区网络为低频段网络时关于第一预设条件和第二预设条件的描述。
本实施例方法可以按照步骤502～508的过程逐一对本小区网络的各邻区网络进行动态分层。另外，本实施例还可以周期性地利用步骤502～508逐一对本小区网络的各邻区网络进行动态分层；例如在对所有邻区网络分层完之后，在周期T达到后，再按照步骤502～508所述的过程逐一对本小区网络的各邻区网络进行动态分层。
本实施例方法可以应用于高频连续覆盖型网络。
实施例二：
本实施例以全球移动通信系统(GSM，Global System for Mobile)网络为例来介绍实施例一所述的网络分层方法：
GSM中使用的频段较多，主要使用的有：P-GSM、E-GSM、GSM 850、DCS 1800、PCS 1900。本领域一般推荐将P-GSM、E-GSM、GSM 850视为同频段，即为前文所述低频段；将DCS 1800、PCS 1900视为同频段，即为前文所述高频段。小区网络使用低频段信号即为低频段网络，使用高频段信号即为高频段网络；
其中，P-GSM是基本型GSM；E-GSM是扩展型GSM；DCS是Digital Cellular System的缩写，其中文名称为数字蜂窝系统；PCS是Personal Communications Service的缩写，其中文意思是个人通讯服务。
当本小区网络为低频段网络时，如图6所示，本实施例的网络分层方法包括：
步骤601：在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
步骤602：判断邻区网络为本小区网络的同层网络还是下层网络，若是同层网络，则执行步骤603，若是下层网络，执行步骤606；
优先地，本步骤中可以在检测到网络或者邻区网络发生变化之后才执行；当然也可根据用户的实际需求设定执行本步骤的时机；
步骤603：判断所述邻区网络在时间t段内的N1％电平采样值是否大于电平K1，若是，则执行步骤604，若否，则执行步骤605；
N1、K1，t由后台配置，一般N1设置为70，K1设置为-80dB，t设置为1天；
步骤604：自动设置邻区网络为本小区网络的下层网络；
步骤605：保持邻区网络相对于本小区网络的网络层次不变；
步骤606：判断所述邻区网络在时间t内N2％采样值是否小于电平K2， 若是，则执行步骤607，若否，则执行步骤608；
N2、K2，t由后台配置，一般N2设置为70，K2设置为-80dB，t设置为1天；
步骤607：自动设置邻区网络为本小区网络的同层网络；
步骤608：保持邻区网络相对于本小区网络的网络层次不变。
本实施例方法可以按照步骤602～608所述的过程逐一对本小区网络的各邻区网络进行动态分层。另外，本实施例还可以周期性地利用步骤602～608逐一对本小区网络的各邻区网络进行动态分层。
当本小区网络为低频段网络时，如图7所示，本实施例的网络分层方法包括：
步骤701：在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
步骤702：判断邻区网络为本小区网络的同层网络还是上层网络，若是同层网络，则执行步骤703，若是上层网络，执行步骤706；
优先地，本步骤中可以在检测到网络或者邻区网络发生变化之后才执行；当然也可根据用户的实际需求设定执行本步骤的时机；
步骤703：判断所述邻区网络在时间t内的N3％电平采样值是否大于电平K3，若是，则执行步骤704，若否，则执行步骤705；
N3、K3，t由后台配置，一般N3设置为70，K3设置为-80dB，t设置为1天；
步骤704：自动设置邻区网络为本小区网络的上层网络；
步骤705：保持邻区网络相对于本小区网络的网络层次不变；
步骤706：判断所述邻区网络在时间t内N4％电平采样值是否小于电平K4，若是，则执行步骤707，若否，则执行步骤708；
N4、K4，t由后台配置，一般N4设置为70，K4设置为-80dB，t设置 为1天；
步骤707：自动设置邻区网络为本小区网络的同层网络；
步骤708：保持邻区网络相对于本小区网络的网络层次不变。
本实施例方法可以按照步骤702～708所述的过程逐一对本小区网络的各邻区网络进行动态分层。另外，本实施例还可以周期性地利用步骤702～708逐一对本小区网络的各邻区网络进行动态分层。其中逐一对本小区网络的各邻区网络进行动态分层的周期T由后台配置，该T值配置不小于t。例如在对所有邻区网络分层完之后，在周期T达到后，再按照步骤702～708所述的过程逐一对本小区网络的各邻区网络进行动态分层。
实施例三：
如图8所示，本实施例提供了一种网络分层装置，包括：初始化模块81、网络层次获取模块82和网络层次设置模块83；
所述初始化模块81，配置为在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
所述网络层次获取模块82，配置为获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；
所述网络层次设置模块83，配置为根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。
优先地，所述网络层次设置模块83，配置为在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值满足第一预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
优先地，所述网络层次设置模块83，还配置为在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值满足第二预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
本实施例提供的网络分层装置，能够及时适应网络变化，准确进行网络分层，节省大量人力物力。
实际应用中，所述网络分层装置可应用于通信领域；所述初始化模块81、网络层次获取模块82和网络层次设置模块83均可由网络分层装置所属终端或设备中的中央处理器(CPU，Central Processing Unit)、数字信号处理器(DSP，Digital Signal Processor)或现场可编程门阵列(FPGA，Field Programmable Gate Array)实现。
以上内容是结合具体的实施方式对本发明所作的进一步详细说明，不能认定本发明的具体实施只局限于这些说明。对于本发明所属技术领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干简单推演或替换，都应当视为属于本发明的保护范围。
工业实用性
本发明实施例中，在初始状态下，将所有邻区网络设置为本小区网络的同层网络；获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。如此，可以时适应网络变化，自动且准确地进行网络分层，节省大量人力物力，减少了维护成本。

Claims (10)

  1. 一种网络分层方法，所述方法包括：
    在初始状态下，将所有邻区网络设置为本小区网络的同层网络；
    获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；
    根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。
  2. 根据权利要求1所述的方法，其中，所述根据所述邻区网络在预设时间段内的电平和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：
    在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值满足第一预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
  3. 根据权利要求2所述的方法，其中，
    当所述本小区网络为低频段网络，所述邻区网络为高频段网络时，所述第一预设条件包括：第一预定比例的电平采样值大于第一预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的下层网络；
    当所述本小区网络为高频段网络，所述邻区网络为低频段网络时，所述第一预设条件包括：第二预定比例的电平采样值大于第二预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的上层网络。
  4. 根据权利要求2所述的方法，其中，所述方法还包括：
    在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值不满足第一预设条件时，保持当前所述邻区网络相对于所述本小区网络 的网络层次不变。
  5. 根据权利要求2至4任一项所述的方法，其中，所述根据所述邻区网络在预设时间段内的电平和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤还包括：
    在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值满足第二预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
  6. 根据权利要求4所述的方法，其中，
    当所述本小区网络为低频段网络，所述邻区网络为高频段网络，且当前所述邻区网络为所述本小区网络的下层网络时，所述第二设条件包括：第三预定比例的电平采样值小于第三预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的同层网络；
    当所述本小区网络为高频段网络，所述邻区网络为低频段网络，且当前所述邻区网络为所述本小区网络的上层网络时，所述第二预设条件包括：第四预定比例的电平采样值小于第四预设阈值；所述自动设置所述邻区网络相对于所述本小区网络的网络层次的步骤包括：自动将所述邻区网络设置为所述本小区网络的同层网络。
  7. 根据权利要求5所述的方法，其中，所述方法还包括：
    在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值不满足第二预设条件时，保持当前所述邻区网络相对于所述本小区网络的网络层次不变。
  8. 一种网络分层装置，所述装置包括：初始化模块、网络层次获取模块和网络层次设置模块；
    所述初始化模块，配置为在初始状态下，将所有邻区网络设置为本小 区网络的同层网络；
    所述网络层次获取模块，配置为在获取当前邻区网络相对于本小区网络的网络层次，所述邻区网络与所述本小区网络处于不同的频段级别；
    所述网络层次设置模块，配置为根据所述邻区网络在预设时间段内的电平采样值和所述网络层次，自动设置所述邻区网络相对于所述本小区网络的网络层次。
  9. 根据权利要求8所述的网络分层装置，其中，所述网络层次设置模块，配置为在当前所述邻区网络为所述本小区网络的同层网络，且所述电平采样值满足第一预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
  10. 根据权利要求9所述的网络分层装置，其中，所述网络层次设置模块，还配置为在当前所述邻区网络不为所述本小区网络的同层网络，且所述电平采样值满足第二预设条件时，自动设置所述邻区网络相对于所述本小区网络的网络层次。
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