CN111148139A

CN111148139A - Self-organizing network management method, device and system

Info

Publication number: CN111148139A
Application number: CN201811308449.9A
Authority: CN
Inventors: 喻国军
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2018-11-05
Filing date: 2018-11-05
Publication date: 2020-05-12

Abstract

The application discloses a method, a device and a system for managing a self-organizing network, belonging to the technical field of communication. The method comprises the following steps: a first network device located in a first management layer of an ad hoc network acquires network data of at least one second network device located in a second management layer of the ad hoc network, wherein the hierarchy of the second management layer is lower than that of the first management layer; obtaining decision data based on the network data of the at least one second network device; and sending the decision data to the target network equipment, wherein the target network equipment is positioned in the second management layer. After the target network equipment acquires the information to be decided, the decision result can be directly determined based on the decision data, the decision path is shortened, and the self-organizing network management efficiency is further improved.

Description

Self-organizing network management method, device and system

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, and a system for managing an ad hoc network.

Background

In a mobile communication system, a hierarchical management manner is generally adopted to manage network devices in the whole communication system. The mobile communication system includes multiple management layers, a Network Management System (NMS) is located in a first management layer, an Equipment Management System (EMS) (also called as an element management system) is located in a second management layer, and a hierarchy of the first management layer is higher than a hierarchy of the second management layer.

The EMS mainly completes an Element Management Layer (EML) function in an International Telecommunications Union (ITU) Telecommunications Management Network (TMN), that is, a Management function for one or more mobile communication devices (Network elements, NEs), and the mobile communication devices managed by the EMS are usually from the same device provider. The NMS mainly completes a Network Management Layer (NML) function in the ITU TMN, that is, a Management function for all Network devices in the managed Network. The interface between the NMS and the EMS is called the northbound interface (Itf-N), through which the NMS communicates with the EMS for the purpose of managing network devices from different device providers.

Since managing network devices in a communication system consumes a lot of manpower and material resources, The 3rd Generation Partnership Project (3 GPP) standards organization proposed The concept of Self-organizing networks (SON) in The Long Term Evolution (LTE) phase of The communication system. Currently, a self-organizing network mainly has automatic functions such as self-configuration, self-optimization (including automatic neighbor optimization, load balancing optimization, capacity and coverage optimization, and the like), and self-healing, and these functions may also be referred to as SON functions.

In the related art, a method for managing an ad hoc network is provided, including: after detecting a network problem, network equipment (hereinafter referred to as low-level SON equipment) positioned at a lower management layer of the self-organizing network sends a decision request to network equipment (hereinafter referred to as high-level SON equipment) positioned at a higher management layer of the self-organizing network; the high-level SON equipment generates a decision result after receiving the decision request, and the decision result is used for indicating the low-level SON equipment to execute a decision instruction; the high-level SON equipment sends a decision result to the low-level SON equipment; and the low-level SON equipment executes the decision instruction after receiving the decision result.

However, in the self-organizing network management method provided by the related art, the decision path from the detection of the network problem by the low-level SON device to the acquisition of the decision result is long, and therefore, the self-organizing network management efficiency is low.

Disclosure of Invention

The embodiment of the invention provides a method, a device and a system for managing a self-organizing network, which can solve the problem of low self-organizing network management efficiency in the related technology. The technical scheme is as follows:

in a first aspect, a self-organizing network management method is provided, for a first network device located at a first management layer of a self-organizing network, and the method includes:

acquiring network data of at least one second network device located in a second management layer of the self-organizing network, wherein the hierarchy of the second management layer is lower than that of the first management layer; obtaining decision data based on network data of at least one second network device; and sending the decision data to a target network device, wherein the target network device is positioned in the second management layer.

It should be noted that, in the present application, after a first network device located in a first management layer of an ad hoc network acquires network data of at least one second network device located in a second management layer of the ad hoc network, decision data is acquired based on the network data of the at least one second network device, and the decision data is sent to a target network device. After the target network equipment acquires the information to be decided, the decision result corresponding to the information to be decided can be determined based on the decision data, and compared with the prior art that the low-level SON equipment needs to report the high-level SON equipment to acquire the decision result after detecting a network problem, the decision path is shortened, and the self-organizing network management efficiency is further improved.

Optionally, obtaining the decision data based on the network data of the at least one second network device includes:

the decision data is obtained based on the type of ad-hoc network optimization function supported by the target network device.

In one possible implementation manner of the present application, after obtaining the decision data based on the network data of the at least one second network device, the method further includes: obtaining a decision algorithm based on the decision data, wherein the decision algorithm is used for determining a decision result corresponding to the information to be decided by the target network equipment based on the decision data; correspondingly, the step of sending the decision data to the target network device includes: and sending the decision data and the decision algorithm to the target network equipment.

Further, the target network device may employ a decision algorithm to determine a decision result based on the decision data.

In another possible implementation manner of the present application, after obtaining the decision data based on the network data of the at least one second network device, the method further includes: generating a decision model based on the decision data, wherein the decision model is used for determining a decision result corresponding to the information to be decided by the target network equipment; correspondingly, the step of sending the decision data to the target network device includes: and sending the decision model to the target network equipment.

Further, the target network device may input information to be decided to the decision model, and determine a decision result based on output data of the decision model.

Optionally, the at least one second network device includes m second network devices, where m is greater than or equal to 1, and the obtaining of the decision data based on the network data of the at least one second network device includes:

acquiring n second network devices of which the distances between the second network devices and the target network device are smaller than a specified distance threshold from the m second network devices, wherein n is more than or equal to 1 and less than or equal to m; the decision data is obtained based on the network data of the n second network devices.

Wherein the decision data may comprise at least one of network resource distribution data and traffic demand distribution data.

Optionally, the method further includes:

acquiring peripheral information of the decision data, wherein the peripheral information comprises at least one of version information, application range, effective time period and decision category; correspondingly, the step of sending the decision data to the target network device includes: and sending the decision data and the peripheral information of the decision data to the target network equipment.

In one possible implementation manner of the present application, the obtaining of the decision data based on the network data of the at least one second network device includes: and when the network data of the at least one second network device changes, generating updated decision data based on the changed network data of the at least one second network device.

When the network data of the at least one second network device changes, generating updated decision data based on the changed network data of the at least one second network device, including:

when the network data of at least one second network device changes, detecting whether the changed network data meets the information updating condition; and when the changed network data meets the information updating condition, generating updated decision data based on the changed network data.

Further, sending the decision data to the target network device includes:

and when the updated decision data and the decision data before updating meet the specified difference condition, sending the updated decision data to the target network equipment.

In another possible implementation manner of the present application, the obtaining of the decision data based on the network data of the at least one second network device includes:

periodically generating new decision data based on the acquired network data of the at least one second network device;

correspondingly, the step of sending the decision data to the target network device includes:

periodically, new decision data is sent to the target network device.

Optionally, the network data includes at least one of configuration model data, traffic statistics, alarm data, measurement reports, call history, and signal tracking reports.

Optionally, the first network device is a device in a network management system, and the second network device and the target network device are devices or network elements in the device management system; or, the first network device is a device in the device management system, and the second network device and the target network device are network elements.

In a second aspect, there is provided an ad hoc network management method for a target network device located at a second management layer of an ad hoc network, the method including:

receiving decision data sent by a first network device located at a first management layer of the self-organizing network, wherein the decision data is determined by the first network device based on network data of at least one second network device located at a second management layer, and the hierarchy of the second management layer is lower than that of the first management layer; acquiring information to be decided; and determining a decision result corresponding to the information to be decided based on the decision data.

In one possible implementation manner of the present application, receiving decision data sent by a first network device located at a first management layer of an ad hoc network includes: receiving decision data and a decision algorithm sent by first network equipment; correspondingly, determining a decision result corresponding to the information to be decided based on the decision data includes: a decision result is determined based on the decision data using a decision algorithm.

In another possible implementation manner of the present application, receiving decision data sent by a first network device located at a first management layer of an ad hoc network includes: receiving a decision model sent by first network equipment, wherein the decision model is determined based on decision data; correspondingly, determining a decision result corresponding to the information to be decided based on the decision data includes: inputting information to be decided to a decision model; determining a decision result based on the output data of the decision model.

Optionally, the method further includes: and receiving peripheral information of the decision data sent by the first network equipment, wherein the peripheral information comprises at least one of version information, application range, effective time period and decision category.

In a third aspect, an apparatus for self-organizing network management is provided, where the apparatus is used for a first network device located at a first management layer of a self-organizing network, and the apparatus includes:

a first obtaining module, configured to obtain network data of at least one second network device located in a second management layer of the ad hoc network, where a hierarchy of the second management layer is lower than a hierarchy of the first management layer;

a second obtaining module, configured to obtain decision data based on network data of the at least one second network device;

and the sending module is used for sending the decision data to target network equipment, and the target network equipment is positioned in the second management layer.

Optionally, the second obtaining module is configured to:

Optionally, the apparatus further comprises:

a third obtaining module, configured to obtain a decision algorithm based on the decision data, where the decision algorithm is used for the target network device to determine a decision result corresponding to information to be decided based on the decision data;

the sending module is configured to:

and sending the decision data and the decision algorithm to the target network equipment.

Optionally, the apparatus further comprises:

a generating module, configured to generate a decision model based on the decision data, where the decision model is used by the target network device to determine a decision result corresponding to information to be decided;

the sending module is configured to:

and sending the decision model to the target network equipment.

Optionally, the at least one second network device includes m second network devices, m is greater than or equal to 1, and the second obtaining module is configured to:

acquiring n second network devices of which the distances between the second network devices and the target network device are smaller than a specified distance threshold from the m second network devices, wherein n is larger than or equal to 1 and is smaller than or equal to m;

obtaining the decision data based on the network data of the n second network devices.

Optionally, the apparatus further comprises:

a fourth obtaining module, configured to obtain peripheral information of the decision data, where the peripheral information includes at least one of version information, an application range, an effective time period, and a decision category;

the sending module is configured to:

and sending the decision data and the peripheral information of the decision data to the target network equipment.

Optionally, the second obtaining module is configured to:

when the network data of the at least one second network device changes, updated decision data is generated based on the changed network data of the at least one second network device.

Optionally, the second obtaining module is configured to:

when the network data of the at least one second network device changes, detecting whether the changed network data meets an information updating condition;

and when the changed network data meets the information updating condition, generating updated decision data based on the changed network data.

Optionally, the sending module is configured to:

Optionally, the second obtaining module is configured to:

the sending the decision data to the target network device includes:

periodically sending the new decision data to the target network device.

In a fourth aspect, an apparatus for managing an ad hoc network is provided, where the apparatus is used for a target network device located in a second management layer of the ad hoc network, and the apparatus includes:

a receiving module, configured to receive decision data sent by a first network device located at a first management layer of the ad hoc network, where the decision data is determined by the first network device based on network data of at least one second network device located at a second management layer, and a hierarchy of the second management layer is lower than a hierarchy of the first management layer;

the acquisition module is used for acquiring information to be decided;

and the determining module is used for determining a decision result corresponding to the information to be decided based on the decision data.

Optionally, the receiving module is configured to:

receiving decision data and a decision algorithm sent by the first network equipment;

the determining module is configured to:

determining the decision result based on the decision data using the decision algorithm.

Optionally, the receiving module is configured to:

receiving a decision model sent by the first network device, the decision model being determined based on the decision data;

the determining module is configured to:

inputting the information to be decided to the decision model;

determining the decision result based on output data of the decision model.

Optionally, the receiving module is further configured to receive peripheral information of the decision data sent by the first network device, where the peripheral information includes at least one of version information, application range, validation time period, and decision category.

In a fifth aspect, there is provided an ad hoc network management system, comprising: a first network device located at a first management level of an ad hoc network and at least one second network device located at a second management level of the ad hoc network, the second management level being at a lower level than the first management level;

the first network device comprises an apparatus according to any of the third aspects;

the second network device comprises an apparatus according to any of the fourth aspects.

In a sixth aspect, an ad hoc network management device is provided, including:

an input-output component;

a processor coupled to the input-output component through an interface component, to fetch instructions from the input-output component and to execute the instructions;

when the self-organizing network management device is used for a first network device located at a first management layer of a self-organizing network, executing the instruction to realize the self-organizing network management method according to any one of the first aspect; when the self-organizing network management device is used for a second network device located at a second management layer of the self-organizing network, executing the instruction to realize the self-organizing network management method according to the second aspect;

wherein a hierarchy of the second management layer is lower than a hierarchy of the first management level.

Optionally, the apparatus further comprises:

a memory;

the processor is configured to couple with the memory through the interface component, read instructions in the memory, and execute the instructions.

In a seventh aspect, a computer-readable storage medium is provided, which stores instructions that, when executed by a processor in a first network device at a first management layer of an ad hoc network, implement the ad hoc network management method according to any one of the first aspect; implementing the ad-hoc network management method according to any one of the second aspect when the instructions are executed by a second network device located at a second management layer of the ad-hoc network;

In an eighth aspect, a chip is provided, where the chip includes a programmable logic circuit and/or a program instruction, and when the chip runs, the self-organizing network management method according to any one of the first aspect is implemented; or implementing the ad hoc network management method according to any one of the second aspect.

The technical scheme provided by the embodiment of the invention has the following beneficial effects:

the method comprises the steps that network data of at least one second network device located on a second management layer of the self-organization network are obtained through a first network device located on a first management layer of the self-organization network, and after decision data are obtained based on the network data of the at least one second network device, the decision data are sent to a target network device. After the target network equipment acquires the information to be decided, the decision result corresponding to the information to be decided can be determined based on the decision data, and compared with the prior art that the low-level SON equipment needs to report the high-level SON equipment to acquire the decision result after detecting a network problem, the decision path is shortened, and the self-organizing network management efficiency is further improved.

Drawings

Fig. 1 is a schematic structural diagram of an ad hoc network management system according to an embodiment of the present application;

fig. 2 is a schematic deployment diagram of a network device in an ad hoc network management system according to an embodiment of the present application;

fig. 3 is a flowchart of an ad hoc network management method according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an ad hoc network management device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of another ad hoc network management device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of another ad hoc network management device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of a further ad hoc network management device according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of an ad hoc network management device according to another embodiment of the present application;

fig. 9 is a schematic physical structure diagram of an ad hoc network management device according to an embodiment of the present disclosure.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of an ad hoc network management system provided in an embodiment of the present application, where an ad hoc network may be divided into at least two management layers, as shown in fig. 1, the at least two management layers may include a first management layer a and a second management layer B, a hierarchy of the first management layer a is higher than a hierarchy of the second management layer B, and a network device located in the first management layer a is configured to manage a network device located in the second management layer B and/or a management layer lower than the second management layer B. In the embodiment of the present application, a network device located in a first management layer a is referred to as a first network device 01, a network device located in a second management layer B and/or a management layer hierarchically lower than the second management layer B is referred to as a second network device 02, and the first network device 01 is configured to manage one or more second network devices 02 located in the second management layer B. The dotted line L is used to distinguish the first management layer a from a management layer lower in hierarchy than the first management layer a.

Referring to fig. 1, the ad hoc network management system may include a first network device 01 and at least one second network device 02, where the first network device 01 establishes a communication connection with each second network device 02.

The first network device 01 may be a device in a network management system, such as a Network Manager (NM), the second network device 02 may be a device (such as an Equipment Manager (EM)) or a network element in the device management system, and the first network device 01 and the second network device 02 communicate with each other through an Itf-N; or, the first network device 01 is a device in a device management system, the second network device 02 is a network element, and the first network device 01 and the second network device 02 communicate with each other through a wired network or a wireless network.

For example, fig. 2 is a schematic deployment diagram of a network device in a self-organizing network management system provided in an embodiment of the present application, and as shown in fig. 2, the network device in the self-organizing network management system includes an NM, an EM, and an NE, where a management level of the NM is higher than a management level of the EM, and a management level of the EM is higher than a management level of the NE, that is, for the NM, the EM belongs to a low-level SON device, and for the NE, the EM belongs to a high-level SON device.

Referring to FIG. 2, NM can establish communication connection with EM via Itf-N, NM can also establish communication connection with NE directly via Itf-N; the EM and the NM can establish communication connection through a wireless network or a wired network.

For example, the EM may be a Central Unit (CU) or a Radio Network Controller (RNC), and the NE may be a 3G base station (NodeB), an Evolved Node B (eNodeB), or a 5G base station (gnnodeb).

Optionally, when the second network device in the embodiment of the present application is a network element (e.g., a base station), the first network device may be an EM (e.g., CU and RNC) or an NM.

Fig. 3 is a flowchart of an ad hoc network management method provided in an embodiment of the present application, which may be applied to the ad hoc network management system shown in fig. 1, and as shown in fig. 3, the method includes:

step 101, a first network device obtains network data of at least one second network device.

The first network equipment is positioned at a first management layer of the self-organization network, the at least one second network equipment is positioned at a second management layer of the self-organization network, and the level of the second management layer is lower than that of the first management layer. The first network device is for managing the at least one second network device. It should be noted that the first network device may obtain the network data of all the second network devices managed by the first network device.

Optionally, the implementation process of step 101 includes: the first network device subscribes to the network data from the at least one second network device, that is, the first network device periodically pulls the network data from the at least one second network device; or the at least one second network device reports the network data to the first network device periodically, which is not limited in the embodiment of the present application to the manner in which the first network device acquires the network data of the second network device.

Optionally, the network Data may include at least one of Configuration model Data (Configuration Data), Traffic statistics Data (Traffic statistics Data), alarm Data, Measurement Report (MR), Call History Record (CHR), and signal tracking Report (SIG). Wherein, the report content of the MR comprises: at least one of same-frequency measurement data, pilot-frequency measurement data, inter-system measurement data, traffic volume measurement data, quality measurement data, User Equipment (UE) internal measurement data, UE location measurement data, and AOA measurement data.

Step 102, the first network device obtains decision data based on the network data of the at least one second network device.

It should be noted that the decision data is used for the target network device to determine a decision result corresponding to the information to be decided, and the target network device is located in a second management layer of the ad hoc network.

Optionally, the decision data includes at least one of network resource distribution data and traffic demand distribution data. The network resource distribution data is used for reflecting resource distribution conditions of different times and/or different spaces, such as network resource Signal distribution conditions, including distribution conditions of Reference Signal Receiving Power (RSRP) and Reference Signal Receiving Quality (RSRQ); the traffic demand distribution data is used to reflect the distribution of network appeals of UEs at different times and/or in different spaces, for example, how many times and how many time duration voice appeals exist for how many UEs at different times and/or in different spaces, or how many times, how many time duration and how much data appeals exist. Wherein the network resource distribution data may be determined based on the configuration model data, the traffic statistics, the alarm data, the MR, the CHR, and the SIG, and the traffic demand distribution data may be determined based on the traffic statistics, the alarm data, the MR, the CHR, and the SIG.

Optionally, the at least one second network device may include a target network device; alternatively, the at least one second network device may not include the target network device, which is not limited in this embodiment of the present application. For example, when the decision data acquired by the first network device is related to the network data corresponding to the target network device, the at least one second network device includes the target network device; when the decision data acquired by the first network device is not related to the network data corresponding to the target network device, the at least one second network device may not include the target network device.

Optionally, the first network device may obtain the decision data based on the type of ad hoc network optimization function supported by the target network device. Wherein, the decision data corresponding to different self-organizing network optimization functions are different. In this embodiment of the present application, the first network device may obtain different decision data based on different self-organizing network optimization functions supported by the target network device, that is, the decision data obtained by the first network device corresponds to the self-organizing network optimization functions supported by the target network device one to one.

For example, when the target network device is a base station, the ad hoc network optimization function supported by the target network device includes at least one of cell handover, antenna power adjustment, antenna engineering parameter adjustment, and beam shape adjustment for the UE, where the antenna engineering parameter includes an antenna height, an antenna direction angle, an antenna tilt angle, and the like.

Optionally, the at least one second network device includes m second network devices, where m is greater than or equal to 1, and the implementation process of step 102 may include: acquiring n second network devices of which the distances between the second network devices and the target network device are smaller than a specified distance threshold from the m second network devices, wherein n is more than or equal to 1 and less than or equal to m; the decision data is obtained based on the network data of the n second network devices.

For example, it is assumed that the self-organizing network optimization function corresponding to the decision data is a function of the base station performing cell handover on the UE. When the target base station is used to decide whether to perform a cell handover for a target UE located in a target cell, i.e. to decide whether to handover the target UE from the target cell to another cell, the first network device may acquire CHR data and MR data of the target base station and neighboring base stations located in the periphery of the target base station, periodically extracting measurement data of each cell when the UE is located in the target cell and Key Performance Indicators (KPIs) of the UE after the UE is switched from the target cell to other cells from the CHR data and the MR data, wherein the target cell is any one of at least one cell corresponding to the target base station, and the other cells are any cells except the target cell, for example, the other cell may be a cell corresponding to the target base station, or may also be a cell corresponding to an adjacent base station located around the target base station, which is not limited in this embodiment of the present application.

Optionally, the first network device may extract measurement data of each cell when the UE is located in the target cell for multiple times, so as to improve reliability of obtaining the measurement data, and further ensure an optimization function of the target base station for performing cell handover on the UE. The KPI of the UE may include RSRP of the UE, throughput of the UE, and the like.

For example, the decision data obtained by the first network device may be as shown in table 1 below, for example, the first network device may obtain measurement data X of each cell before the UE1 is handed over₁And KPIY of UE1 after UE1 is handed over from target cell to cell C1₁(i.e., RSRP).

TABLE 1

Referring to table 1, the first network device may acquire measurement data in a cell-level data acquisition manner; alternatively, the first network device may also obtain the measurement data in a Radio Remote Unit (RRU) level data acquisition manner, which is not limited in this embodiment of the present application.

In an optional embodiment of the present application, after the first network device obtains the decision data based on the network data of the at least one second network device, a decision algorithm may also be obtained based on the decision data, where the decision algorithm is used for the target network device to determine a decision result corresponding to the information to be decided based on the decision data.

For example, when the decision data obtained by the first network device is shown in table 1, the decision algorithm may be expressed as f (x), where x is RSRP of the target UE when the target UE is located in the target cell, and f (x) represents: obtaining the RSRP (assumed to correspond to X) of the target cell with the highest similarity with X from the decision data_n) Is mixing X_nAnd taking the KPI of the corresponding UE after switching as a prediction KPI after the target UE is switched from the target cell to the cell Cn. The target base station determines whether to handover the target UE from the target cell to the cell Cn based on the predicted KPI.

In another optional embodiment of the present application, after the first network device obtains the decision data based on the network data of the at least one second network device, a decision model may be generated based on the decision data, where the decision model is used for the target network device to determine a decision result corresponding to the information to be decided.

Optionally, the first network device may construct a decision model and train the decision model using the decision data. For example, the Decision model may be a hierarchical Decision Tree (GBDT) model, and the type of the Decision model is not limited in the embodiment of the present application.

For example, the decision model may be expressed as f (x, w) ═ y. When the decision data obtained by the first network device is shown in table 1, X in the decision model may be made to be X_n，y＝Y_nTraining to obtain a parameter w, which substantially reflects the distribution of network signal resources in a certain areaThe method is described. The input data of the decision model is measurement data when the target UE is located in the target cell, and the output data may be a predicted KPI of the target UE after the target UE is switched to the cell Cn.

Step 103, the first network device sends decision data to the target network device.

Optionally, the first network device may be triggered to send the decision data to the target network device in an event-triggered manner or a periodic-triggered manner.

In an optional embodiment of the present application, when the network data of the at least one second network device changes, the first network device generates updated decision data based on the changed network data of the at least one second network device.

Optionally, when the network data of the at least one second network device changes, the first network device may detect whether the changed network data meets an information update condition; and when the changed network data meets the information updating condition, the first network equipment generates updated decision data based on the changed network data.

It should be noted that, because the network data of the second network device is usually updated in real time, for example, the change of the number of the UEs, the change of the location of the UEs, and the like all cause the change of the network data of the second network device, after it is determined that the changed network data meets the information updating condition, the first network device generates updated decision data based on the changed network data, which may reduce the workload of the first network device and reduce resource occupation.

For example, after acquiring the latest network data of at least one second network device, a first network device calculates the similarity between the latest network data and the network data acquired in the previous period, and when the similarity is greater than or equal to a specified similarity threshold, determines that the latest network data does not satisfy an information updating condition; and when the similarity is smaller than a specified similarity threshold, determining that the latest network data meets the information updating condition.

Optionally, the information update condition may also refer to that some specified data changes, for example, when the configuration information of the second network device changes and/or the engineering parameter of the second network device changes, the first network device determines that the changed network data meets the information update condition, and the type and content of the information update condition are not limited in this embodiment of the application.

Further, when the updated decision data and the decision data before updating satisfy a specified difference condition, the first network device sends the updated decision data to the target network device.

Optionally, after the first network device generates the updated decision data, it may detect whether the updated decision data and the decision data before updating satisfy a specified difference condition, for example, detect whether a similarity between the updated decision data and the decision data before updating is less than a preset similarity threshold; when the decision data after updating and the decision data before updating meet the specified difference condition, the first network equipment sends the decision data after updating to the target network equipment; when it is determined that the updated decision data and the decision data before updating do not satisfy the specified difference condition, the first network device does not send the updated decision data to the target network device, so that the data transmission load between the first network device and the target network device can be reduced.

In another optional embodiment of the present application, the first network device may periodically generate new decision data based on the obtained network data of the at least one second network device, and periodically transmit the new decision data to the target network device.

Optionally, the first network device may push the generated decision data to the target network device; or, the target network device may periodically query and acquire new decision data from the first network device, and the embodiment of the present application does not limit the manner in which the first network device sends the decision data to the target network device.

In this embodiment, the first network device may further obtain peripheral information of the decision data, where the peripheral information includes at least one of version information, application range, validation period, and decision category. Accordingly, the implementation process of step 103 includes: the first network equipment sends decision data and peripheral information of the decision data to the target network equipment.

The version information of the decision data is used for marking the current version of the decision data; the application scope of the decision data is used for indicating the network devices (including the target network device and/or other second network devices) which can apply the decision data; the validation period of the decision data is used to indicate a time range within which the decision data can be validated; the decision type of the decision data is used to indicate the type of the self-organizing optimization function corresponding to the decision data, for example, to indicate that the decision data is used for the base station to perform cell handover on the UE.

Optionally, referring to two alternative embodiments in step 102, the first network device sends the decision data and the decision algorithm to the target network device; alternatively, the first network device sends the decision model to the target network device.

And step 104, the target network equipment acquires the information to be decided.

Optionally, after the target network device detects a network problem, the information to be decided may be acquired.

For example, when the target network device is a base station that supports an ad hoc network optimization function for performing cell handover on the UE, the information to be decided may be measurement data of the UE.

And 105, the target network equipment determines a decision result corresponding to the information to be decided based on the decision data.

In an optional embodiment of the present application, when the target network device receives the decision data and the decision algorithm sent by the first network device, the implementation process of step 105 includes: a decision result is determined based on the decision data using a decision algorithm.

For example, the information to be decided is measurement data of the target UE, the decision data is shown in table 1, and the decision algorithm is f (x): obtaining the RSRP (assumed to correspond to X) of the target cell with the highest similarity with X from the decision data_n) Is mixing X_nAnd taking the KPI of the corresponding UE after switching as a prediction KPI after the target UE is switched from the target cell to the cell Cn. After the target network device obtains the measurement data of the target UE, a decision algorithm may be adopted based onThe decision data obtains a predicted KPI of the target UE after the target UE is switched to another cell.

In another optional embodiment of the present application, when the target network device receives the decision model sent by the first network device, the implementation process of step 105 includes: inputting information to be decided to a decision model; determining a decision result based on the output data of the decision model.

For example, referring to the example in step 102, when the information to be decided is measurement data of the target UE, and the target network device obtains the measurement data of the target UE, the measurement data of the target UE is input to the decision model, and the decision model may output a predicted KPI of the target UE after the target UE is switched to another cell. Optionally, the decision model may further calculate a plurality of predicted KPIs corresponding to the target UE after the target UE is switched to different cells, and output an optimal predicted KPI and a corresponding cell ID.

Optionally, when the target network device only receives the decision data sent by the first network device, and after the target network device receives the information to be decided, a preset decision algorithm may be further used to determine a decision result corresponding to the information to be decided based on the decision data, and the process may refer to a process in which the target network device determines the decision result after receiving the decision data and the decision algorithm sent by the first network device, which is not described herein again in this embodiment of the present application.

Further, the target network device may determine a decision result based on the predicted KPI of the target UE, where the decision result includes whether to perform cell handover on the target UE and an ID of a cell to be handed over when determining to perform cell handover on the target UE.

For example, in the embodiment of the present application, taking a first network device as an RNC and a target network device as a target base station as an example, a process of implementing the above self-organizing network management method is briefly described:

the RNC acquires network data corresponding to a target base station and at least one other base station positioned at the periphery of the target base station in real time; the RNC generates a decision model corresponding to the target base station based on the network data; RNC sends the decision model to the target base station; the target base station receives and stores the decision model; after receiving the measurement data of the UE, the target base station inputs the measurement data of the UE into the decision model; the target base station determines a decision result according to output data of the decision model, for example, the output data of the decision model may be an optimal predicted KPI after the UE switches the cell and a corresponding cell ID, and the target base station determines whether to perform cell switching on the UE based on the predicted KPI.

It should be noted that, the order of steps of the self-organizing network management method provided in the embodiment of the present application may be appropriately adjusted, and the steps may also be increased or decreased according to the situation. Any method that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application is covered by the protection scope of the present application, and thus the detailed description thereof is omitted.

To sum up, in the self-organizing network optimization method provided in the embodiment of the present application, after a first network device located in a first management layer of a self-organizing network obtains network data of at least one second network device located in a second management layer of the self-organizing network, decision data is obtained based on the network data of the at least one second network device, and the decision data is sent to a target network device. After the target network equipment acquires the information to be decided, the decision result corresponding to the information to be decided can be determined based on the decision data, and compared with the prior art that the low-level SON equipment needs to report the high-level SON equipment to acquire the decision result after detecting a network problem, the decision path is shortened, and the self-organizing network management efficiency is further improved.

Fig. 4 is a schematic structural diagram of an ad hoc network management apparatus according to an embodiment of the present application, for a first network device located at a first management layer of an ad hoc network, as shown in fig. 4, the apparatus 20 includes:

the first obtaining module 201 is configured to obtain network data of at least one second network device located at a second management layer of the ad hoc network, where a hierarchy of the second management layer is lower than a hierarchy of the first management layer.

A second obtaining module 202, configured to obtain the decision data based on network data of at least one second network device.

A sending module 203, configured to send the decision data to a target network device, where the target network device is located in the second management layer.

To sum up, in the self-organizing network optimization apparatus provided in this embodiment of the present application, after a first network device located in a first management layer of a self-organizing network obtains network data of at least one second network device located in a second management layer of the self-organizing network through a first obtaining module, a second obtaining module obtains decision data based on the network data of the at least one second network device, and a sending module sends the decision data to a target network device. After the target network equipment acquires the information to be decided, the decision result corresponding to the information to be decided can be determined based on the decision data, and compared with the prior art that the low-level SON equipment needs to report the high-level SON equipment to acquire the decision result after detecting a network problem, the decision path is shortened, and the self-organizing network management efficiency is further improved.

Optionally, the second obtaining module is configured to:

Optionally, as shown in fig. 5, the apparatus 20 further includes:

a third obtaining module 204, configured to obtain a decision algorithm based on the decision data, where the decision algorithm is used for determining, by the target network device, a decision result corresponding to the information to be decided based on the decision data.

Correspondingly, the sending module is configured to: and sending the decision data and the decision algorithm to the target network equipment.

Optionally, as shown in fig. 6, the apparatus 20 further includes:

a generating module 205, configured to generate a decision model based on the decision data, where the decision model is used for the target network device to determine a decision result corresponding to the information to be decided.

Correspondingly, the sending module is configured to: and sending the decision model to the target network equipment.

Optionally, the at least one second network device includes m second network devices, where m is greater than or equal to 1, and the second obtaining module is configured to:

Optionally, as shown in fig. 7, the apparatus 20 further includes:

the fourth obtaining module 206 is configured to obtain peripheral information of the decision data, where the peripheral information includes at least one of version information, application range, validation time period, and decision category.

Correspondingly, the sending module is configured to: and sending the decision data and the peripheral information of the decision data to the target network equipment.

Optionally, the second obtaining module is configured to: and when the network data of the at least one second network device changes, generating updated decision data based on the changed network data of the at least one second network device.

Optionally, the second obtaining module is configured to: when the network data of at least one second network device changes, detecting whether the changed network data meets the information updating condition; and when the changed network data meets the information updating condition, generating updated decision data based on the changed network data.

Further, the sending module is configured to:

Optionally, the second obtaining module is configured to: periodically generating new decision data based on the acquired network data of the at least one second network device.

Correspondingly, the step of sending the decision data to the target network device includes: periodically, new decision data is sent to the target network device.

Fig. 8 is a schematic structural diagram of an ad hoc network management apparatus according to another embodiment of the present application, configured to be located in a target network device of a second management layer of an ad hoc network, as shown in fig. 8, the apparatus 30 includes:

the receiving module 301 is configured to receive decision data sent by a first network device located at a first management layer of the ad hoc network, where the decision data is determined by the first network device based on network data of at least one second network device located at a second management layer, and a hierarchy of the second management layer is lower than a hierarchy of the first management layer.

An obtaining module 302, configured to obtain information to be decided.

The determining module 303 is configured to determine a decision result corresponding to the information to be decided based on the decision data.

Optionally, the receiving module is configured to: receiving decision data and a decision algorithm sent by first network equipment; accordingly, a determination module configured to: a decision result is determined based on the decision data using a decision algorithm.

Optionally, the receiving module is configured to: receiving a decision model sent by first network equipment, wherein the decision model is determined based on decision data; accordingly, a determination module configured to: inputting information to be decided to a decision model; determining a decision result based on the output data of the decision model.

Optionally, the receiving module is further configured to receive peripheral information of the decision data sent by the first network device, where the peripheral information includes at least one of version information, application range, effective time period, and decision category.

To sum up, in the self-organizing network optimization device provided in this embodiment of the application, the target network device located on the second management layer of the self-organizing network receives, through the receiving module, the decision data sent by the first network device located on the first management layer of the self-organizing network, after the information to be decided is obtained through the obtaining module, the decision result corresponding to the information to be decided can be determined through the determining module based on the decision data, and compared with the case that the low-level SON device in the related art needs to report the high-level SON device to obtain the decision result after detecting a network problem, the decision path is shortened, and further the management efficiency of the self-organizing network is improved.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

An embodiment of the present application provides a self-organizing network management system, including: the network management system comprises a first network device and at least one second network device, wherein the first network device is positioned at a first management layer of the self-organizing network, the at least one second network device is positioned at a second management layer of the self-organizing network, and the level of the second management layer is lower than that of a first management level; the first network device comprises an apparatus as shown in any of figures 4 to 7; the second network device comprises the apparatus as shown in fig. 8.

An embodiment of the present application provides an ad hoc network management apparatus, as shown in fig. 9, where the apparatus 40 includes:

an input-output component 401;

a processor 402 coupled to the input/output component 401 through the interface component 403, for fetching instructions from the input/output component 401 and executing the instructions;

when the self-organizing network management device is used for a first network device located at a first management layer of a self-organizing network and/or a second network device located at a second management layer of the self-organizing network, executing an instruction to realize the self-organizing network management method according to the method side embodiment; wherein the hierarchy of the second management layer is lower than the hierarchy of the first management level.

Optionally, the apparatus 40 further comprises: a memory 404; the processor 404 is configured to couple with the memory 404 through the interface component 403, read instructions from the memory 404, and execute the instructions.

The input/output module 401 includes at least one of a wireless communication chip, an RJ-45 network interface, and an optical fiber interface.

The processor 402 includes one or more processing cores, and the processor 402 executes various functional applications and data processing by executing computer programs and units.

The memory 404 may be used for storing computer programs and units. Alternatively, the memory may store an operating system and application program elements required for at least one function. The operating system may be a Real Time eXceptive (RTX) operating system, such as LINUX, UNIX, WINDOWS, or OS X.

The input output component 401 may include a plurality of input output interfaces, the input output interface 401 being used to communicate with other storage devices or network devices.

The memory 404 and the input/output component 401 are connected to the processor 402 through the interface component 403, respectively.

The embodiment of the application provides a computer-readable storage medium, which stores instructions that, when executed by a processor in a first network device located in a first management layer of an ad hoc network and/or a second network device located in a second management layer of the ad hoc network, implement the ad hoc network management method according to the method-side embodiment; wherein a hierarchy of the second management layer is lower than a hierarchy of the first management level.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The term "and/or" in this application is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. An ad hoc network management method for a first network device located at a first management layer of an ad hoc network, the method comprising:

acquiring network data of at least one second network device located at a second management layer of the self-organizing network, wherein the level of the second management layer is lower than that of the first management layer;

obtaining decision data based on network data of the at least one second network device;

and sending the decision data to a target network device, wherein the target network device is positioned in the second management layer.

2. The method of claim 1, wherein obtaining decision data based on network data of the at least one second network device comprises:

3. The method according to claim 1 or 2, wherein after said obtaining decision data based on the network data of the at least one second network device, the method further comprises:

obtaining a decision algorithm based on the decision data, wherein the decision algorithm is used for the target network equipment to determine a decision result corresponding to the information to be decided based on the decision data;

the sending the decision data to the target network device includes:

4. The method according to claim 1 or 2, wherein after said obtaining decision data based on the network data of the at least one second network device, the method further comprises:

generating a decision model based on the decision data, wherein the decision model is used for the target network equipment to determine a decision result corresponding to the information to be decided;

the sending the decision data to the target network device includes:

and sending the decision model to the target network equipment.

5. The method according to any of claims 1 to 4, wherein the at least one second network device comprises m second network devices, m ≧ 1, and the obtaining decision data based on the network data of the at least one second network device comprises:

6. The method of any of claims 1 to 5, further comprising:

acquiring peripheral information of the decision data, wherein the peripheral information comprises at least one of version information, application range, effective time period and decision category;

the sending the decision data to the target network device includes:

7. The method according to any of claims 1 to 6, wherein the obtaining decision data based on the network data of the at least one second network device comprises:

8. The method of claim 7, wherein when the network data of the at least one second network device changes, generating updated decision data based on the changed network data of the at least one second network device comprises:

9. The method of claim 7 or 8, wherein sending the decision data to a target network device comprises:

10. The method according to any of claims 1 to 6, wherein the obtaining decision data based on the network data of the at least one second network device comprises:

the sending the decision data to the target network device includes:

periodically sending the new decision data to the target network device.

11. An ad hoc network management method for a target network device located at a second management layer of an ad hoc network, the method comprising:

receiving decision data sent by a first network device located at a first management layer of the ad hoc network, the decision data being determined by the first network device based on network data of at least one second network device located at the second management layer, the second management layer having a lower hierarchy than the first management layer;

acquiring information to be decided;

and determining a decision result corresponding to the information to be decided based on the decision data.

12. The method of claim 11, wherein receiving decision data sent by a first network device located at a first management layer of the ad-hoc network comprises:

the determining a decision result corresponding to the information to be decided based on the decision data includes:

13. The method of claim 11, wherein receiving decision data sent by a first network device located at a first management layer of the ad-hoc network comprises:

inputting the information to be decided to the decision model;

determining the decision result based on output data of the decision model.

14. The method according to claim 12 or 13, characterized in that the method further comprises:

and receiving peripheral information of the decision data sent by the first network equipment, wherein the peripheral information comprises at least one of version information, application range, effective time period and decision category.

15. An apparatus for ad hoc network management for a first network device located at a first management layer of an ad hoc network, the apparatus comprising:

16. The apparatus of claim 15, wherein the second obtaining module is configured to:

17. The apparatus of claim 15 or 16, further comprising:

the sending module is configured to:

18. The apparatus of claim 15 or 16, further comprising:

the sending module is configured to:

and sending the decision model to the target network equipment.

19. The apparatus according to any one of claims 15 to 18, wherein the at least one second network device comprises m second network devices, m ≧ 1, the second obtaining module configured to:

20. The apparatus of any one of claims 15 to 19, further comprising:

the sending module is configured to:

21. The apparatus according to any one of claims 15 to 20, wherein the second obtaining module is configured to:

22. The apparatus of claim 21, wherein the second obtaining module is configured to:

23. The apparatus of claim 21 or 22, wherein the sending module is configured to:

24. The apparatus according to any one of claims 15 to 20, wherein the second obtaining module is configured to:

the sending the decision data to the target network device includes:

periodically sending the new decision data to the target network device.

25. An apparatus for managing an ad hoc network, for a target network device located at a second management layer of the ad hoc network, the apparatus comprising:

the acquisition module is used for acquiring information to be decided;

26. The apparatus of claim 25, wherein the receiving module is configured to:

the determining module is configured to:

27. The apparatus of claim 25, wherein the receiving module is configured to:

the determining module is configured to:

inputting the information to be decided to the decision model;

determining the decision result based on output data of the decision model.

28. The apparatus of claim 26 or 27,

the receiving module is further configured to receive peripheral information of the decision data sent by the first network device, where the peripheral information includes at least one of version information, application range, validation time period, and decision category.

29. An ad hoc network management system, comprising: a first network device located at a first management level of an ad hoc network and at least one second network device located at a second management level of the ad hoc network, the second management level being at a lower level than the first management level;

the first network device comprising the apparatus of any of claims 15 to 24;

the second network device comprising the apparatus of any of claims 25 to 28.

30. An ad-hoc network management device, comprising:

an input-output component;

when the self-organizing network management device is used for a first network device located at a first management layer of a self-organizing network, executing the instructions to realize the self-organizing network management method according to any one of claims 1 to 10; when the self-organizing network management device is used for a second network device located at a second management layer of a self-organizing network, executing the instructions to implement the self-organizing network management method according to any one of claims 11 to 14;

31. The apparatus of claim 30, further comprising:

a memory;

32. A computer-readable storage medium having stored thereon instructions which, when executed by a processor located in a first network device of a first management layer of an ad hoc network, implement the ad hoc network management method according to any one of claims 1 to 10; implementing the ad-hoc network management method according to any one of claims 11 to 14 when the instructions are executed by a second network device located at a second management layer of the ad-hoc network;