CN105744544B - Network layering method and device - Google Patents
Network layering method and device Download PDFInfo
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- CN105744544B CN105744544B CN201410746323.5A CN201410746323A CN105744544B CN 105744544 B CN105744544 B CN 105744544B CN 201410746323 A CN201410746323 A CN 201410746323A CN 105744544 B CN105744544 B CN 105744544B
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Abstract
The invention discloses a network layering method and a network layering device. The network layering method of the invention comprises the following steps: in an initial state, setting all neighbor networks as the same-layer network of the cell network; acquiring the network level of a current neighbor cell network relative to a local cell network, wherein the neighbor cell network and the local cell network are in different frequency band levels; automatically setting the network level of the neighbor cell network relative to the cell network according to the level sampling value of the neighbor cell network in a preset time period and the network level; the network layering method can adapt to network changes in time, automatically and accurately perform network layering, save a large amount of manpower and material resources and reduce maintenance cost.
Description
Technical Field
The present invention relates to the field of mobile communications, and in particular, to a network layering method and apparatus.
Background
Wireless communication is developed to date, wireless network coverage is more and more intensive, and the scale is more and more huge. Wireless environment changes caused by city construction, transformation and the like after network construction; the wireless signal coverage changes such as base station equipment removal, new establishment and the like have great influence on the operation network. Operators need to keep constant maintenance and optimization work on existing networks to adapt to changing wireless environments and coverage. In network operation and maintenance, switching is an important means for ensuring high quality and uninterrupted service for users.
Network layering is an important basis for existing handover mechanisms. There are 4 kinds of network hierarchy definitions: upper layer, same layer, lower layer, undefined layer. Each cell and all the adjacent cells of the cell have different hierarchical relationships. Generally, a cell has about 10 neighboring cells, and in many cases, 20 neighboring cells are reached. The measurement data amount needed to be analyzed by manually setting the network in layers is huge, and time and labor are consumed, so that accurate layering is difficult to achieve. Manually adjusting the hierarchical relationships can also incur significant maintenance costs as the network changes. In order to solve the problem, the method for automatically layering the network is provided.
In the wireless transmission process, the high-frequency band signal is attenuated quickly, mainly used for absorbing telephone traffic, and generally set as a lower layer of a network (hereinafter referred to as a high-frequency network). The low frequency band signal attenuation is slow, mainly used for coverage, and generally set as an upper layer of a network (hereinafter referred to as a low frequency network).
Existing artificial network layering method
Step 101: when a network is newly built, the network is changed and the network is periodically maintained, the data of a high-frequency network and a low-frequency network are obtained;
step 102: setting the high-frequency network as a lower network of the low-frequency network in a data analysis and parameter modification mode;
step 103: setting the low-frequency network as an upper network of a high-frequency network in a data analysis and parameter modification mode;
step 104: and setting the same-frequency network as the same-layer network of the network by means of data analysis and parameter modification.
The manual network layering method has low efficiency, can not adapt to network change in time and has higher maintenance cost.
Disclosure of Invention
The invention provides a network layering method and a network layering device, and aims to solve the technical problems that the existing manual network layering is low in efficiency, cannot adapt to network change in time and is high in maintenance cost.
In order to solve the above technical problem, the present invention provides a network layering method, which comprises the following steps:
in an initial state, setting all neighbor networks as the same-layer network of the cell network;
acquiring the network level of a current neighbor cell network relative to a local cell network, wherein the neighbor cell network and the local cell network are in different frequency band levels;
and automatically setting the network level of the neighbor cell network relative to the cell network according to the level sampling value of the neighbor cell network in a preset time period and the network level.
Further, 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 within a preset time period and the network level includes:
and when the current neighbor cell network is the same-layer network of the local cell network and the level sampling value meets a first preset condition, automatically setting the network level of the neighbor cell network relative to the local cell network.
Further, when the local cell network is a low-band network and the neighboring cell network is a high-band network, the first preset condition includes: the level sampling value of the first preset proportion is larger than a first preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a lower network of the cell network;
when the local cell network is a high-frequency band network and the neighboring cell network is a low-frequency band network, the first preset condition includes: the level sampling value of the second preset proportion is larger than a second preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: and automatically setting the neighbor cell network as an upper network of the cell network.
Further, the method further comprises:
and when the current neighbor cell network is the same-layer network of the cell network and the level sampling value does not meet a first preset condition, keeping the network level of the current neighbor cell network relative to the cell network unchanged.
Further, 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 within a preset time period and the network level further includes:
and when the current neighbor cell network is not the same-layer network of the cell network and the level sampling value meets a second preset condition, automatically setting the network level of the neighbor cell network relative to the cell network.
Further, when the local cell network is a low-band network, the neighboring cell network is a high-band network, and the current neighboring cell network is a lower network of the local cell network, the second setting condition includes: the level sampling value of the third preset proportion is smaller than a third preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a same-layer network of the cell network;
when the local cell network is a high-frequency network, the neighboring cell network is a low-frequency network, and the current neighboring cell network is an upper network of the local cell network, the second preset condition includes: the level sampling value of the fourth preset proportion is smaller than a fourth preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: and automatically setting the neighbor cell network as the same-layer network of the cell network.
Further, the method further comprises:
and when the current neighbor cell network is not the same-layer network of the cell network and the level sampling value does not meet a second preset condition, keeping the network hierarchy of the current neighbor cell network relative to the cell network unchanged.
Also, in order to solve the above technical problem, the present invention further provides a network layering apparatus, including: the device comprises an initialization module, a network level acquisition module and a network level setting module;
the initialization module is used for setting all neighbor networks as the same layer network of the cell network in an initial state;
the network level acquisition module is used for acquiring the network level of the current neighbor cell network relative to the cell network, and the neighbor cell network and the cell network are in different frequency band levels;
and the network level setting module is used for automatically setting the network level of the neighbor cell network relative to the network of the cell according to the level sampling value of the neighbor cell network in a preset time period and the network level.
Further, the network level setting module is configured to automatically set a network level of the neighboring cell network relative to the current cell network when the current neighboring cell network is a same-layer network of the current cell network and the level sampling value meets a first preset condition.
Further, the network level setting module is further configured to automatically set a network level of the neighboring cell network relative to the current cell network when the current neighboring cell network is not a same-layer network of the current cell network and the level sampling value meets a second preset condition.
The invention has the beneficial effects that:
the invention provides a network layering method and a device, and particularly the network layering method comprises the following steps: in an initial state, setting all neighbor networks as the same-layer network of the cell network; acquiring the network level of a current neighbor cell network relative to a local cell network, wherein the neighbor cell network and the local cell network are in different frequency band levels; automatically setting the network level of the neighbor cell network relative to the cell network according to the level sampling value of the neighbor cell network in a preset time period and the network level; the network layering method can adapt to network changes in time, automatically and accurately perform network layering, save a large amount of manpower and material resources and reduce maintenance cost.
Drawings
FIG. 1 is a flow chart of a conventional network layering method;
fig. 2 is a schematic flowchart of a first network layering method according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a second network layering method according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a third network layering method according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a third network layering method according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating a network layering method according to a second embodiment of the present invention;
fig. 7 is a flowchart illustrating another network layering method according to a second embodiment of the present invention;
fig. 8 is a schematic structural diagram of a network layer apparatus according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
The first embodiment is as follows:
in view of the technical problems that the existing manual network has low layering efficiency, cannot adapt to network changes in time and has high maintenance cost, the embodiment provides a network layering method, as shown in fig. 2, including the following steps:
step 201: and in an initial state, setting all neighbor networks as the same-layer network of the cell network.
In the initial stage of network layering, first, all neighbor networks are set as the same layer network of the cell network, that is, the neighbor cells and the cell have the same layer.
Step 202: and acquiring the network level of the current neighbor cell network relative to the cell network, wherein the neighbor cell network and the cell network are in different frequency band levels.
At present, the frequency band of a cell network is generally divided into two levels, i.e., a high frequency band and a low frequency band, so that in this embodiment, the cell network may be a low frequency band network and a neighbor cell network may be a high frequency band network, or the cell network may be a high frequency band network and a neighbor cell network may be a high frequency band network.
After initial setting, as the neighboring network changes, the network level of the neighboring network relative to the network of the cell also changes, for example, the current neighboring network is the same-layer network or an upper-layer network or a lower-layer network of the cell, which may occur; in this step, the network hierarchy of the current neighbor cell network relative to the current cell network can be obtained.
Preferably, this step may be performed after detecting a change in the cell network. Of course, the execution timing of this step may be set according to actual requirements, and for example, the execution may be performed after detecting that the neighboring network changes, or may be performed periodically.
Step 203: and automatically setting the network level of the neighbor cell network relative to the cell network according to the level sampling value of the neighbor cell network in a preset time period and the network level.
The level sampling value in this step is: the adopted value of the network level of the neighboring cell during the preset time t, and the specific mode of obtaining the level sampling value may include: and measuring a wireless link of the adjacent cell to obtain a level sampling value during a preset time t, and then reporting by the terminal.
Specifically, in this step, whether to set the network hierarchy of the neighboring cell network may be determined by the hierarchical relationship between the current neighboring cell network and the current cell network and the level sampling of the neighboring cell network, and this step may include at least one of the following conditions 1 and 2:
1. when the current neighbor cell network is the same-layer network of the local cell network and the level sampling value meets a first preset condition, automatically setting the network level of the neighbor cell network relative to the local cell network; specifically, at least one of a and b may be included:
a. when the local cell network is a low-frequency network and the neighboring cell network is a high-frequency network,
the first preset condition includes: the level sampling value of the first preset proportion is larger than a first preset threshold value;
the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a lower network of the cell network;
in this embodiment, the first preset ratio, the first preset threshold, and the preset time period may all be configured by the background according to requirements.
b. When the local cell network is a high-frequency band network and the neighboring cell network is a low-frequency band network, the first preset condition includes: the level sampling value of the second preset proportion is larger than a second preset threshold value;
the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: and automatically setting the neighbor cell network as an upper network of the cell network.
In this embodiment, the first preset ratio, the first preset threshold, and the preset time period may all be configured by the background according to requirements.
2. When the current neighbor cell network is not the same-layer network of the cell network and the level sampling value meets a second preset condition, automatically setting the network level of the neighbor cell network relative to the cell network; specifically, at least one of the cases c and d may be included:
c. when the network of the local cell is a low-frequency band network, the network of the neighboring cell is a high-frequency band network, and the current network of the neighboring cell is a lower network of the local cell;
the second setting condition includes: the level sampling value of the third preset proportion is smaller than a third preset threshold value;
the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a same-layer network of the cell network;
d. when the local cell network is a high-frequency network, the neighboring cell network is a low-frequency network, and the current neighboring cell network is an upper network of the local cell network,
the second preset condition includes: the level sampling value of the fourth preset proportion is smaller than a fourth preset threshold value;
the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: and automatically setting the neighbor cell network as the same-layer network of the cell network.
By applying the method, the network change can be adapted in time, network layering can be automatically and accurately carried out, a large amount of manpower and material resources are saved, and the network maintenance cost is saved.
Preferably, on the basis of the above content, the network layering method of this embodiment may further include:
when the current neighbor cell network is a network on the same layer of the local cell network and the level sampling value does not meet a first preset condition, keeping the network level of the current neighbor cell network relative to the local cell network unchanged;
further, on the basis of the above content, the network layering method of the embodiment may further include:
and when the current neighbor cell network is not the same-layer network of the cell network and the level sampling value does not meet a second preset condition, keeping the network hierarchy of the current neighbor cell network relative to the cell network unchanged.
According to the above description, as shown in fig. 3, the network layering method of the present embodiment may include:
step 301: in an initial state, setting all neighbor networks as the same-layer network of the cell network;
step 302: after the neighbor cell network changes, acquiring the network level of the current neighbor cell network relative to the cell network;
step 303: judging whether the neighboring cell network is a network on the same layer as the cell network, if so, executing step 304, otherwise, executing step 305;
step 304: judging whether a level sampling value of the neighboring cell network in a preset time period meets a first preset condition, if so, executing 306, and if not, executing 307;
step 305: judging whether a level sampling value of the neighboring cell network in a preset time period meets a second preset condition, if so, executing step 306, and if not, executing step 307;
step 306: automatically setting the network level of the neighbor cell network relative to the cell network;
step 307: and keeping the network hierarchy of the current neighbor cell network relative to the current cell network unchanged.
In this embodiment, the steps 302 and 307 may be adopted to dynamically set each neighboring network one by one, so as to implement network layering. In addition, the embodiment may also periodically traverse each neighboring cell network, and dynamically layer the neighboring cell networks according to steps 302 and 307.
The network layering method of this embodiment is described below by taking the cell network as a low-frequency band network and the neighboring cell network as a high-frequency band network as an example, and as shown in fig. 4, the method includes the following steps:
step 401: in an initial state, setting all neighbor networks as the same-layer network of the cell network;
step 402: judging whether the neighboring network is a network on the same layer or a network on a lower layer of the network of the cell, if the network is the network on the same layer, executing step 403, and if the network is the network on the lower layer, executing step 405;
step 403: judging whether a level sampling value of the neighboring network in a preset time period meets a first preset condition, if so, executing a step 404, and if not, executing a step 406;
step 404: automatically setting a neighboring cell network as a lower network of the cell network;
step 405: keeping the network level of the neighboring cell network relative to the network of the cell unchanged;
step 406: judging whether a level sampling value of the neighboring network in a preset time period meets a second preset condition, if so, executing step 407, and if not, executing step 408;
preferably, this step may be performed after detecting a change in the network or the neighboring network
Step 407: automatically setting a neighboring cell network as a same-layer network of the cell network;
step 408: and keeping the network hierarchy of the neighbor cell network relative to the network of the cell unchanged.
The first preset condition and the second preset condition in steps 403 and 406 may refer to the above description about the first preset condition and the second preset condition when the local cell network is a low-frequency band network and the neighboring cell network is a high-frequency band network.
The method of this embodiment may dynamically layer each neighboring cell network of the cell network one by one according to the process of step 402-408. In addition, the embodiment may also periodically use steps 402 and 408 to dynamically layer each neighboring network of the cell network one by one; for example, after all the neighboring networks are layered, and after the period T is reached, the neighboring networks of the cell network are dynamically layered one by one according to the process described in step 402 and 408.
The network layering method of this embodiment is described below with an example in which the present cell network is a high-frequency band network and the neighboring cell network is a low-frequency band network, and as shown in fig. 5, the method includes the following steps:
step 501: in an initial state, setting all neighbor networks as the same-layer network of the cell network;
step 502: judging whether the network of the neighboring cell is a network on the same layer or an upper layer of the network of the cell, if the network is the network on the same layer, executing step 503, and if the network is the upper layer, executing step 505;
preferably, this step may be performed after detecting that the network or the neighboring network changes;
step 503: judging whether a level sampling value of the neighboring network in a preset time period meets a first preset condition, if so, executing step 504, and if not, executing step 506;
step 504: automatically setting a neighboring cell network as an upper network of the cell network;
step 505: keeping the network level of the neighboring cell network relative to the network of the cell unchanged;
step 506: judging whether a level sampling value of the neighboring network in a preset time period meets a second preset condition, if so, executing a step 507, and if not, executing a step 508;
step 507: automatically setting a neighboring cell network as a same-layer network of the cell network;
step 508: and keeping the network hierarchy of the neighbor cell network relative to the network of the cell unchanged.
The first preset condition and the second preset condition in steps 503 and 506 may refer to the above description about the first preset condition and the second preset condition when the local cell network is a high-frequency band network and the neighboring cell network is a low-frequency band network.
The method of this embodiment may dynamically layer each neighboring cell network of the cell network one by one according to the process of step 502-508. In addition, the embodiment may also periodically utilize steps 502 and 508 to dynamically layer each neighboring network of the cell network one by one; for example, after all the neighboring networks are layered, after the period T is reached, the neighboring networks of the local cell network are dynamically layered one by one according to the process described in step 502 and step 508.
The method of the present embodiment can be applied to a high-frequency continuous coverage type network.
Example two:
the present embodiment takes a GSM network as an example to introduce the network layering method described in the first embodiment:
the frequency bands used in GSM are many, and the following are mainly used: P-GSM, E-GSM, GSM850, DCS1800, PCS 1900. It is generally recommended in the art to consider P-GSM, E-GSM, and GSM850 as co-bands, i.e., the aforementioned low bands; the DCS1800 and PCS1900 are considered as the same frequency band, which is the high frequency band mentioned above. The cell network uses the low-frequency band signal as a low-frequency band network and uses the high-frequency band signal as a high-frequency band network;
when the network of the cell is a low-frequency band network, as shown in fig. 6, the network layering method of this embodiment includes:
step 601: in an initial state, setting all neighbor networks as the same-layer network of the cell network;
step 602: judging whether the neighboring network is a network on the same layer of the network of the cell or a network on a lower layer, if the network is the network on the same layer, executing the step 603, and if the network is the network on the lower layer, executing the step 605;
preferably, this step may be performed after detecting that the network or the neighboring network changes; of course, the time for executing the step can be set according to the actual requirements of the user;
step 603: judging whether the N1% level sampling value of the neighboring network in the time t period is greater than a level K1, if so, executing a step 604, and if not, executing a step 606;
n1, K1, t is configured by the background, generally N1 is set as 70, K1 is set as-80 dB, t is set as 1 day;
step 604: automatically setting a neighboring cell network as a lower network of the cell network;
step 605: keeping the network level of the neighboring cell network relative to the network of the cell unchanged;
step 606: judging whether the N2% sampling value of the neighboring network is less than a level K2 within a time t, if so, executing a step 607, and if not, executing a step 608;
n2, K2, t is configured by the background, generally N2 is set as 70, K2 is set as-80 dB, t is set as 1 day;
step 607: automatically setting a neighboring cell network as a same-layer network of the cell network;
step 608: and keeping the network hierarchy of the neighbor cell network relative to the network of the cell unchanged.
The method of this embodiment may dynamically layer each neighboring cell network of the cell network one by one according to the process described in step 602-608. In addition, the embodiment may also periodically utilize the steps 602 and 608 to dynamically layer each neighboring network of the local cell network one by one.
When the network of the cell is a low-frequency band network, as shown in fig. 7, the network layering method of this embodiment includes:
step 701: in an initial state, setting all neighbor networks as the same-layer network of the cell network;
step 702: judging whether the network of the neighboring cell is the network on the same layer of the network of the cell or the upper layer network, if the network is the network on the same layer, executing step 703, and if the network is the upper layer network, executing step 705;
preferably, this step may be performed after detecting that the network or the neighboring network changes; of course, the time for executing the step can be set according to the actual requirements of the user;
step 703: judging whether the N3% level sampling value of the neighboring network in time t is greater than a level K3, if so, executing a step 704, and if not, executing a step 706;
n3, K3, t is configured by the background, generally N3 is set as 70, K3 is set as-80 dB, t is set as 1 day;
step 704: automatically setting a neighboring cell network as an upper network of the cell network;
step 705: keeping the network level of the neighboring cell network relative to the network of the cell unchanged;
step 706: judging whether the N4% level sampling value of the neighboring network is less than a level K4 within a time t, if so, executing a step 707, and if not, executing a step 708;
n4, K4, t is configured by the background, generally N4 is set as 70, K4 is set as-80 dB, t is set as 1 day;
step 707: automatically setting a neighboring cell network as a same-layer network of the cell network;
step 708: and keeping the network hierarchy of the neighbor cell network relative to the network of the cell unchanged.
The method of this embodiment may dynamically layer the neighboring networks of the cell network one by one according to the process described in step 702-708. In addition, the present embodiment may also periodically utilize the steps 702 and 708 to dynamically layer each neighboring network of the local cell network one by one. The period T for dynamically layering the neighbor cell networks of the cell network one by one is configured by a background, and the value T is not less than T. For example, after all the neighboring networks are layered, and after the period T is reached, the neighboring networks of the cell network are dynamically layered one by one according to the process described in step 702 and 708.
Example three:
as shown in fig. 8, the present embodiment provides a network layering apparatus, including: the device comprises an initialization module, a network level acquisition module and a network level setting module;
the initialization module is used for setting all neighbor networks as the same layer network of the cell network in an initial state;
the network level acquisition module is used for acquiring the network level of the current neighbor cell network relative to the cell network, and the neighbor cell network and the cell network are in different frequency band levels;
and the network level setting module is used for automatically setting the network level of the neighbor cell network relative to the network of the cell according to the level sampling value of the neighbor cell network in a preset time period and the network level.
Preferably, the network level setting module in this embodiment is configured to automatically set the network level of the neighboring cell network relative to the current cell network when the current neighboring cell network is a same-layer network of the current cell network and the level sampling value meets a first preset condition.
Preferably, the network level setting module in this embodiment is further configured to automatically set the network level of the neighboring cell network relative to the current cell network when the current neighboring cell network is not the same-layer network of the current cell network and the level sampling value meets a second preset condition.
The network layering device provided by the embodiment can adapt to network changes in time, accurately carry out network layering, and save a large amount of manpower and material resources.
The foregoing is a more detailed description of the present invention that is presented in conjunction with specific embodiments, and the practice of the invention is not to be considered limited to those descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (6)
1. A network layering method, comprising the steps of:
in an initial state, setting all neighbor networks as the same-layer network of the cell network;
acquiring the network level of a current neighbor cell network relative to a local cell network, wherein the neighbor cell network and the local cell network are in different frequency band levels; the network hierarchy is defined with 4 types, including an upper layer, a same layer, a lower layer and an undefined layer;
automatically setting the 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 level, wherein the setting comprises the following steps:
when the current neighbor cell network is the same-layer network of the cell network and the level sampling value meets a first preset condition, automatically setting the network level of the neighbor cell network relative to the cell network in the following way:
when the local cell network is a low-frequency band network and the neighboring cell network is a high-frequency band network, the first preset condition includes: the level sampling value of the first preset proportion is larger than a first preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a lower network of the cell network;
when the local cell network is a high-frequency band network and the neighboring cell network is a low-frequency band network, the first preset condition includes: the level sampling value of the second preset proportion is larger than a second preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as an upper network of the cell network;
and when the current neighbor cell network is the same-layer network of the cell network and the level sampling value does not meet a first preset condition, keeping the network level of the current neighbor cell network relative to the cell network unchanged.
2. The method of claim 1, wherein the step of automatically setting the network hierarchy of the neighbor cell network relative to the local cell network according to the level of the neighbor cell network within a preset time period and the network hierarchy further comprises:
and when the current neighbor cell network is not the same-layer network of the cell network and the level sampling value meets a second preset condition, automatically setting the network level of the neighbor cell network relative to the cell network.
3. The method of claim 2,
when the local cell network is a low-band network, the neighboring cell network is a high-band network, and the current neighboring cell network is a lower network of the local cell network, the second preset condition includes: the level sampling value of the third preset proportion is smaller than a third preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a same-layer network of the cell network;
when the local cell network is a high-frequency network, the neighboring cell network is a low-frequency network, and the current neighboring cell network is an upper network of the local cell network, the second preset condition includes: the level sampling value of the fourth preset proportion is smaller than a fourth preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: and automatically setting the neighbor cell network as the same-layer network of the cell network.
4. The method of claim 2 or 3, wherein the method further comprises:
and when the current neighbor cell network is not the same-layer network of the cell network and the level sampling value does not meet a second preset condition, keeping the network hierarchy of the current neighbor cell network relative to the cell network unchanged.
5. A network layering device, comprising: the device comprises an initialization module, a network level acquisition module and a network level setting module;
the initialization module is used for setting all neighbor networks as the same layer network of the cell network in an initial state;
the network level acquisition module is used for acquiring the network level of the current neighbor cell network relative to the cell network, wherein the neighbor cell network and the cell network are in different frequency band levels; the network hierarchy is defined with 4 types, including an upper layer, a same layer, a lower layer and an undefined layer;
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 the level sampling value of the neighboring cell network in a preset time period and the network level, and includes:
when the current neighbor cell network is the same-layer network of the cell network and the level sampling value meets a first preset condition, automatically setting the network level of the neighbor cell network relative to the cell network in the following way:
when the local cell network is a low-frequency band network and the neighboring cell network is a high-frequency band network, the first preset condition includes: the level sampling value of the first preset proportion is larger than a first preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as a lower network of the cell network;
when the local cell network is a high-frequency band network and the neighboring cell network is a low-frequency band network, the first preset condition includes: the level sampling value of the second preset proportion is larger than a second preset threshold value; the step of automatically setting the network hierarchy of the neighboring cell network relative to the local cell network comprises: automatically setting the neighbor cell network as an upper network of the cell network;
and when the current neighbor cell network is the same-layer network of the cell network and the level sampling value does not meet a first preset condition, keeping the network level of the current neighbor cell network relative to the cell network unchanged.
6. The network layering device of claim 5, wherein the network layering setting module is further configured to automatically set the network layering of the neighboring cell network relative to the local cell network when the current neighboring cell network is not a network on the same layer as the local cell network and the level sampling value meets a second preset condition.
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