CN114375589B - Network parameter adjusting method and network management equipment - Google Patents

Network parameter adjusting method and network management equipment Download PDF

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Publication number
CN114375589B
CN114375589B CN201980100219.XA CN201980100219A CN114375589B CN 114375589 B CN114375589 B CN 114375589B CN 201980100219 A CN201980100219 A CN 201980100219A CN 114375589 B CN114375589 B CN 114375589B
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cell
cell group
cells
network
network parameter
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CN114375589A (en
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朱重明
徐志节
陈志堂
揣捷
沈非一
吕文龙
卫星
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The embodiment of the application discloses a network parameter adjusting method and network management equipment, and relates to the field of communication. Comprising the following steps: determining state information of a first cell group; the state information is used for indicating a telephone system index of a first cell group, wherein the first cell group comprises at least two cells, and the performances of the at least two cells are mutually influenced; determining a target value of a first network parameter of each cell in the first cell group according to the state information of the first cell group and a network parameter recommendation algorithm; the network parameter recommendation algorithm is used for describing the corresponding relation among the state information, the network parameters and the performance indexes of the first cell group, and when the value of the first network parameter of each cell is a corresponding target value, the first performance index of the first cell group is optimal.

Description

Network parameter adjusting method and network management equipment
Technical Field
The embodiment of the application relates to the field of communication, in particular to a network parameter adjustment method and network management equipment.
Background
Adjustment of wireless network parameters can have an impact on the performance of the wireless network. To improve network performance, wireless network parameters may be adjusted. After a certain parameter of a cell is adjusted, the performance of the cell changes, and in addition, the performance of the neighbor cell of the cell may be affected. The present cell and the affected neighbor cell may be referred to as a cluster, and the parameter affecting the cluster may be referred to as a cluster parameter.
The prior art can be used for modeling a single cell, and determining network parameters of the cell, such as same-frequency switching parameters, different-frequency switching parameters, system parameters of the cell and the like according to coverage characteristics of the cell and an optimization target of cell performance. The network side can configure the cell according to the parameters, so that the cell performance is improved.
The method can only optimize the performance of a certain cell in the cluster, and the performance of the adjacent cell can be possibly influenced. For example, after the same-frequency switching parameter of the cell is adjusted, the user rate of the cell is increased, but the user rate of the neighboring cell is decreased.
Disclosure of Invention
The embodiment of the application provides a network parameter adjusting method and network management equipment, which are used for optimizing the performance of a cluster by adjusting the network parameters of each cell in the cluster.
In a first aspect, a method for adjusting a network parameter is provided, the method comprising: the network management device may determine state information of the first cell group; the state information is used for indicating a telephone system index of a first cell group, wherein the first cell group comprises at least two cells, and the performances of the at least two cells are mutually influenced. The network management device may also recommend an optimized network parameter, and configure the cells included in the first cell group according to the optimized network parameter, so that performance of the first cell group may be improved. Specifically, a target value of a first network parameter of each cell in the first cell group may be determined according to the state information of the first cell group and a network parameter recommendation algorithm; the network parameter recommendation algorithm is used for describing the corresponding relation among the state information, the network parameters and the performance indexes of the first cell group, and when the value of the first network parameter of each cell is a corresponding target value, the first performance index of the first cell group is optimal.
In the method provided by the embodiment of the application, the network management device may use the state information of the first cell group as input of a network parameter recommendation algorithm, and determine the first performance index of the first cell group under different values of the first network parameter. And finally screening out a first network parameter value which is the target value of the embodiment of the application and enables the first performance index of the first cell group to be optimal. The network parameter recommendation algorithm is input into the state information of the cell group and the network parameters of each cell in the cell group, and is output into the performance index of the cell group. The state information of the cell group is kept unchanged, the values of the first network parameters are different, and the first performance indexes of the cell group are different. It can be seen that the embodiments of the present application are different from the prior art, and need not be limited to a single cell to perform performance optimization, and ignore the performance of the entire cell group. The method provided by the embodiment of the application can optimize the performance of the cell group (e.g. cluster) by adjusting the network parameters.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining state information of the first cell group includes: and determining the state information of the first cell group according to the voice system index of each cell in the at least two cells.
In the method provided by the embodiment of the application, the state information of each cell in the cell group can be calculated to obtain the state information of the cell group, so that the performance index of the first cell group when the network parameter takes different values is predicted under the condition that the state of the cell group is unchanged by combining the network parameter recommendation algorithm.
With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, determining, according to the state information of the first cell group and the network parameter recommendation algorithm, a target value of the first network parameter of each cell in the first cell group includes: determining a first target value corresponding to an ith cell in the first cell group according to a network parameter recommendation algorithm; the method comprises the steps that the value of a first network parameter of other cells except an ith cell in a first cell group is a default value, when the value of the first network parameter of the ith cell is a first target value, a first performance index of the first cell group is higher than that when the value of the first network parameter of the ith cell is a remaining candidate value; i is an integer greater than or equal to 1; determining a second target value corresponding to the (i+1) th cell in the first cell group according to a network parameter recommendation algorithm; the value of the first network parameter of the first i cells in the first cell group is a corresponding target value, the values of the first network parameters of the other cells except the first i cells in the first cell group are default values, the value of the first network parameter of the i+1th cell is a second target value, the value of the first network parameter of the first i cells is a corresponding target value, the first performance index of the first cell group is higher than the first performance index of the first cell group when the value of the first network parameter of the i+1th cell is a remaining candidate value, and the value of the first network parameter of the first i cells is a corresponding target value.
In the method provided by the embodiment of the application, the target values of the network parameters of the cells in the cell group are determined one by one, and the values of the first network parameters of the cells in the cell group are synthesized to obtain the optimal performance index. Different from the traditional traversal algorithm, the operation load of the network management device can be reduced.
With reference to the first aspect or the first or second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, state information of at least one cell group is determined; and learning the state information of at least one cell group, at least one network parameter and at least one performance index to determine a network parameter recommendation algorithm.
In the method provided by the embodiment of the application, the network management device can learn the historical indexes of the cells by using the machine learning model to obtain the network parameter recommendation algorithm so as to predict the performance indexes of the cell group according to the state information of the cell group and the network parameters.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, determining state information of at least one cell group includes: for each of the at least one cell group, determining state information of the cell group according to a session index of each of the cells in the cell group.
In the method provided by the embodiment of the application, the telephone system index of each cell in the cell group can be operated to obtain the state information of the cell group, and the state information is input into a machine learning model for learning to obtain a network parameter recommendation algorithm.
With reference to the first aspect or any one of the first to fourth possible implementation manners of the first aspect, in a fifth possible implementation manner of the first aspect, the first network parameter is any one of the following parameters: cell system parameters, same frequency cell switching threshold, different frequency cell switching threshold or load balancing parameters.
The embodiment of the application provides a specific implementation of the network parameters, and the performance of the cell group can be changed by adjusting the values of the network parameters.
With reference to the first aspect or any one of the first to fifth possible implementation manners of the first aspect, in a sixth possible implementation manner of the first aspect, the at least two cells are same frequency cells, or the at least two cells are different frequency cells, or the at least two cells belong to the same sector, or the at least two cells belong to the same single frequency networking SFN area.
Embodiments of the present application provide for specific implementation of a cell group, where a cluster may include at least two co-frequency or at least two inter-frequency cells, and the cluster may be a sector or SFN area. The method provided by the embodiment of the application improves the performance of the cluster by adjusting the network parameters of the cell.
In a second aspect, a network management device is disclosed, comprising: a parameter processing unit, configured to determine state information of a first cell group; the state information is used for indicating a telephone system index of a first cell group, wherein the first cell group comprises at least two cells, and the performances of the at least two cells are mutually influenced; the parameter recommendation unit is used for determining a target value of a first network parameter of each cell in the first cell group according to the state information of the first cell group and a network parameter recommendation algorithm; the network parameter recommendation algorithm is used for describing the corresponding relation among the state information, the network parameters and the performance indexes of the first cell group, and when the value of the first network parameter of each cell is a corresponding target value, the first performance index of the first cell group is optimal.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the parameter processing unit is specifically configured to determine the state information of the first cell group according to a session index of each of the at least two cells.
With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the parameter recommendation unit is specifically configured to determine, according to a network parameter recommendation algorithm, a first target value corresponding to an i-th cell in the first cell group; the method comprises the steps that the value of a first network parameter of other cells except an ith cell in a first cell group is a default value, when the value of the first network parameter of the ith cell is a first target value, a first performance index of the first cell group is higher than that when the value of the first network parameter of the ith cell is a remaining candidate value; i is an integer greater than or equal to 1; determining a second target value corresponding to the (i+1) th cell in the first cell group according to a network parameter recommendation algorithm; the value of the first network parameter of the first i cells in the first cell group is a corresponding target value, the values of the first network parameters of the other cells except the first i cells in the first cell group are default values, the value of the first network parameter of the i+1th cell is a second target value, the value of the first network parameter of the first i cells is a corresponding target value, the first performance index of the first cell group is higher than the first performance index of the first cell group when the value of the first network parameter of the i+1th cell is a remaining candidate value, and the value of the first network parameter of the first i cells is a corresponding target value.
With reference to the second aspect or the first or second possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the parameter recommendation module is further configured to determine state information of at least one cell group; and learning the state information of at least one cell group, at least one network parameter and at least one performance index to determine a network parameter recommendation algorithm.
With reference to the second aspect or the first to third possible implementation manners of the second aspect, in a fourth possible implementation manner of the second aspect, the parameter recommendation unit is specifically configured to determine, for each of the at least one cell group, state information of the cell group according to a session index of each cell in the cell group.
With reference to the second aspect or the first to fourth possible implementation manners of the second aspect, in a fifth possible implementation manner of the second aspect, the first network parameter is any one of the following parameters: cell system parameters, same frequency cell switching threshold, different frequency cell switching threshold or load balancing parameters.
With reference to the second aspect or the first to fifth possible implementation manners of the second aspect, in a sixth possible implementation manner of the second aspect, the at least two cells are same frequency cells, or the at least two cells are different frequency cells, or the at least two cells belong to the same sector, or the at least two cells belong to the same single frequency networking SFN area.
In a third aspect, an embodiment of the present application provides a communication network management device, which may implement the method in the first aspect, or any possible implementation manner of the first aspect. The network management device comprises corresponding units or means for performing the above-described methods. The units comprised by the network management device may be implemented in software and/or hardware. The network management device may be a network device, or a chip, a system-on-chip, a processor, or the like that may support the network device to implement the above method.
In a fourth aspect, the present application provides a communication network management apparatus, including: a processor coupled to a memory for storing a program or instructions which, when executed by the processor, cause the network management device to implement the method of the first aspect, or any of the possible implementation manners of the first aspect.
In a fifth aspect, the present application provides a storage medium having stored thereon a computer program or instructions which, when executed, cause a computer to perform the method of the first aspect, or any of the possible implementation manners of the first aspect.
In a sixth aspect, embodiments of the present application provide a communication system, including: the network management apparatus of the second aspect, a network apparatus; or, the network management device, the network device and the terminal device described in the second aspect.
Drawings
Fig. 1 is a schematic diagram of a communication system provided in an embodiment of the present application;
fig. 2 is a block diagram of a network management device according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a cluster provided in an embodiment of the present application;
fig. 4 is a schematic diagram of common-frequency switching provided in an embodiment of the present application;
fig. 5 is a schematic diagram of inter-frequency switching provided in an embodiment of the present application;
fig. 6 is a flowchart of a network parameter adjustment method according to an embodiment of the present application;
fig. 7 is another block diagram of a network management device according to an embodiment of the present application;
fig. 8 is another block diagram of a network management device according to an embodiment of the present application.
Detailed Description
Fig. 1 shows a schematic diagram of a communication system to which the technical solution provided in the present application is applicable, where the communication system may include a plurality of network devices (only network device 100 is shown), a plurality of terminal devices (only terminal device 201 and terminal device 202 are shown in the figure), and a network management device 300. Fig. 1 is only a schematic diagram, and does not constitute a limitation on the applicable scenario of the technical solution provided in the present application.
Wherein communication between the network device and the terminal device may be performed through a cellular link (Uu link), for example, communication between the network device 100 and the terminal device 201, and communication between the terminal devices may be performed through a sidelink link (sidelink link), for example, communication between the terminal device 201 and the terminal device 202 may be performed, and the sidelink link may include D2D communication, V2X communication, machine type communication (machine type communication, MTC), and the like.
The network device 100 may be any device having a wireless transceiving function. Including but not limited to: an evolved node B (NodeB or eNB or e-NodeB, evolutional Node B) in LTE, a base station (gNodeB or gNB) or a transceiver point (transmission receiving point/transmission reception point, TRP) in NR, a base station for 3GPP subsequent evolution, an access node in a WiFi system, a wireless relay node, a wireless backhaul node, and the like. The base station may be: macro base station, micro base station, pico base station, small station, relay station, or balloon station, etc. Multiple base stations may support networks of the same technology as mentioned above, or may support networks of different technologies as mentioned above. A base station may contain one or more co-sited or non-co-sited TRPs. The network devices may also be wireless controllers, centralized Units (CUs), and/or Distributed Units (DUs) in the context of a cloud wireless access network (cloud radio access network, CRAN). The network device may also be a server, a wearable device, or an in-vehicle device, etc. The following description will take a network device as an example of a base station. The plurality of network devices may be the same type of base station or different types of base stations. The base station may communicate with the terminal device or may communicate with the terminal device through the relay station. The terminal device may communicate with a plurality of base stations of different technologies, for example, the terminal device may communicate with a base station supporting an LTE network, may communicate with a base station supporting a 5G network, and may support dual connectivity with the base station of the LTE network and the base station of the 5G network.
A terminal device (e.g., terminal device 201 or terminal device 202) is a device with wireless transceiver capabilities that can be deployed on land, including indoor or outdoor, hand-held, wearable or vehicle-mounted; can also be deployed on the water surface (such as ships, etc.); but may also be deployed in the air (e.g., on aircraft, balloon, satellite, etc.). The terminal may be a mobile phone, a tablet (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal in industrial control (industrial control), a vehicle-mounted terminal device, a wireless terminal in unmanned driving (self driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation security (transportation safety), a wireless terminal in smart city, a wireless terminal in smart home (smart home), a wearable terminal device, and the like. The embodiments of the present application are not limited to application scenarios. A terminal may also be referred to as a terminal device, user Equipment (UE), access terminal device, vehicle-mounted terminal, industrial control terminal, UE unit, UE station, mobile station, remote terminal device, mobile device, UE terminal device, wireless communication device, UE agent, UE apparatus, or the like. The terminal may also be fixed or mobile. The terminal device of the present application may also be an in-vehicle module, an in-vehicle component, an in-vehicle chip, or an in-vehicle unit that is built in a vehicle as one or more components or units, and the vehicle may implement the method of the present application through the in-vehicle module, the in-vehicle component, the in-vehicle chip, or the in-vehicle unit.
The network management device 300 is configured to perform management on the network device 100, for example, to send network parameters to the network device 100, so that the network device 100 configures cells according to the network parameters sent by the network management device 300.
In the prior art, the network management device 300 may issue, to the network device 100, network parameters that need to be adjusted for a certain cell according to coverage characteristics of the cell and an optimization objective of the cell performance. The network device 100 may configure the cell according to these parameters to improve cell performance.
The embodiment of the application provides a network parameter adjustment method, wherein network management equipment determines state information of a first cell group; wherein the status information is used to indicate a session index of the first cell group. Furthermore, the first group of cells (e.g., the first group of cells may be a cluster) includes at least two cells, the performance of which affects each other. The network device may further determine, by using the state information of the first cell group as an input of a network parameter recommendation algorithm, a first performance index of the first cell group under different values of the first network parameter. And finally screening out a first network parameter value which enables the first performance index of the first cell group to be optimal, namely the target value in the embodiment of the application. The network parameter recommendation algorithm is used for describing the corresponding relation among the state information of the cell group, the network parameters and the performance indexes of the cell group, wherein the network parameter recommendation algorithm is input into the state information of the cell group and the network parameters of all cells in the cell group, and is output into the performance indexes of the cell group. The state information of the cell group is kept unchanged, the values of the first network parameters are different, and the first performance indexes of the cell group are different. It can be seen that the embodiments of the present application are different from the prior art, and need not be limited to a single cell to perform performance optimization, and ignore the performance of the entire cell group. The method provided by the embodiment of the application can optimize the performance of the cell group (e.g. cluster) by adjusting the network parameters.
Fig. 2 is a schematic hardware structure of a network management device according to an embodiment of the present application. The network management device may be a network management device described in an embodiment of the present application. Referring to fig. 2, the network management device includes a processor 201, a memory 202, and at least one network interface (illustrated in fig. 2 by way of example only as including a network interface 203). Wherein the processor 201, the memory 202 and the network interface 203 are interconnected.
The processor 201 may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs in accordance with aspects of the present application.
The network interface 203 is an interface of a network management device for communication with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
The memory 202 may be, but is not limited to, a read-only memory (ROM) or other type of static data center that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic data center that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic data center, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be stand alone and be coupled to the processor via a communication line. The memory may also be integrated with the processor.
The memory 202 is used for storing computer-executable instructions for executing the embodiments of the present application, and is controlled by the processor 201 to execute the instructions. The processor 201 is configured to execute computer-executable instructions stored in the memory 202, thereby implementing the intended processing method provided in the embodiments described below.
Alternatively, the computer-executable instructions in the embodiments of the present application may be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
In a particular implementation, as one embodiment, processor 201 may include one or more CPUs, such as CPU0 and CPU1 of FIG. 2.
In a specific implementation, as an embodiment, the network management device may include multiple processors, such as processor 201 and processor 204 in fig. 2. Each of these processors may be a single-core (single-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
In a specific implementation, as an embodiment, the network management device may further include an output device 204 and an input device 205. The output device 204 communicates with the processor 201 and may display information in a variety of ways. For example, the output device 204 may be a liquid crystal display (liquid crystal display, LCD), a light emitting diode (light emitting diode, LED) display device, a Cathode Ray Tube (CRT) display device, or a projector (projector), or the like. The input device 205 is in communication with the processor 201 and may receive user input in a variety of ways. For example, the input device 205 may be a mouse, a keyboard, a touch screen device, a sensing device, or the like.
The network management device may be a general purpose device or a special purpose device. In particular implementations, the network management device may be a desktop, network management device, embedded device, or other device having a similar structure as in fig. 2. The embodiments of the present application are not limited to the type of network management device.
First, terms related to embodiments of the present application will be explained:
(1) Cell group
The cell group comprises at least two cells and the performance of the cells therein affects each other. It will be appreciated that the performance of one cell in a cell group varies as does the performance of other cells in the cell group. The cell group in the embodiments of the present application may be a cluster, a single frequency networking (single frequency network, SFN) area, a sector, etc. The cells in the cell group may be co-frequency cells or inter-frequency cells.
Wherein the cluster may be determined based on the adjusted network parameters. For example, referring to fig. 3, the network parameter P of the cell a is adjusted, the performance of the cell a is changed, while the performance of the cell C and the cell D are affected, and the performance of the cell B and the cell E are not affected. Then for network parameter P there is a cluster comprising cell a, cell C and cell D.
Specifically, the sector may be determined according to an engineering parameter corresponding to the cell. For example, if the longitude and latitude of the site where different cells are located are the same and the respective direction angles are also the same, the cells belong to the same sector.
(2) Status information
In the embodiment of the application, the state information is used for indicating a voice system index. The session index may be a counter (statistics) index, for example, the state information of the cell is used to indicate the counter index of the cell, for example, the number of users, traffic, coverage, interference, and the like of the cell.
The state information of the cell group is used for indicating the counter index of the cell group, and the counter index of the cell group can be determined according to the counter index of each cell in the cell group. Specifically, the counter index of each cell may be calculated by using a specified algorithm to obtain the counter index of the cell group. For example, the counter index for each cell in the group of cells may be summed to obtain the counter index for the group of cells.
For example, if the cluster includes cell a, cell C and cell D, the number of users of cell a is 500, the number of users of cell C is 380, and the number of users of cell D is 420, the number of users of the cluster is 500+380+420=1300. Alternatively, the traffic of cell a is X 1 The traffic of cell C is X 2 The traffic of cell D is X 3 The flow rate of the cluster is a X 1 +c*X 2 +d*X 3 Wherein a, C and D are weight coefficients corresponding to A, cell C and cell D.
(3) Network parameters
The network parameter is a configuration parameter of the cell, and adjusting the value of the configuration parameter of the cell may have an effect on the performance of the cell. In this embodiment of the present application, the network parameter may be a configuration parameter that affects performance of the cell and other cells in the cell group. It can be understood that after the value of a certain network parameter of the cell is adjusted, the performance of the cell changes, and meanwhile, the performance of other cells in the cell group also changes, which can be considered as the change of the performance of the cell group. In the embodiment of the present application, the network parameter influence may be referred to as a cell coordination class parameter, a group level network parameter, etc., and the name of the network parameter is not limited in the embodiment of the present application.
For example, the network parameter may be a cell system parameter, a same frequency cell handover threshold, a different frequency cell handover threshold, or a load balancing parameter.
Specifically, the parameters of the cell system for controlling the performance and KPI of the cell system may be a cell scheduling parameter, a power control parameter, a trigger threshold parameter, etc.
And the same-frequency cell switching threshold is used for controlling the switching of the terminal equipment between the same-frequency cells. For example, referring to fig. 4, the terminal device resides in cell a, and when the signal receiving quality measured by the terminal device meets the on-channel cell switching threshold, the terminal device switches to on-channel cell B of cell a. The same-frequency cells refer to cells with the same central frequency point.
It should be noted that, the switching of the terminal device between the same-frequency cells may affect the performance of the same-frequency cells, so adjusting the switching threshold of the same-frequency cells may affect the performance of the same-frequency cells. In one possible implementation, the cell group includes co-frequency cells, and after the co-frequency switching threshold is adjusted, the performance of the cell group may change. In the embodiment of the present application, the on-channel cell handover threshold is considered as a network parameter affecting the performance of the cell group.
Alternatively, the on-channel cell switch threshold may be a trigger threshold for an A1 event. When the trigger threshold of the A1 event is met, the A1 event is triggered, and the terminal equipment residing in the cell is switched to other cells with the same frequency as the cell.
And the inter-frequency cell switching threshold is used for controlling the switching of the terminal equipment between the inter-frequency cells. For example, referring to fig. 5, the terminal device resides in cell a, and when the signal receiving quality measured by the terminal device meets the inter-frequency cell switching threshold, the terminal device switches to the inter-frequency cell C of cell a. The inter-frequency cells refer to cells with different center frequency points.
It should be noted that, the switching of the terminal device between the inter-frequency cells may affect the performance of the inter-frequency cells, so adjusting the inter-frequency cell switching threshold may affect the performance of the inter-frequency cells. In one possible implementation, the cell group includes inter-frequency cells, and after the inter-frequency handover threshold is adjusted, the performance of the cell group may change. In the embodiment of the present application, the inter-frequency cell handover threshold is considered as a network parameter affecting the performance of the cell group.
Alternatively, the inter-frequency cell handover threshold may be a trigger threshold for an A3 event. When the trigger threshold of the A3 event is met, the A3 event is triggered, and the terminal equipment residing in the cell is switched to other cells with different frequencies from the cell.
Load balancing (mobility load balancing, MLB) parameters for allocating the load of each cell within the same cell group. For example, load balancing of each cell in the same sector is achieved by configuring MLB parameters, and the situation that the performance of the whole sector is affected due to overlarge load of some cells is avoided.
Alternatively, the network parameter may be a Radio Frequency (RF) parameter of a cell, and by adjusting the RF parameter of the cell, the performance of the cell changes, so that the performance of some neighboring cells may be affected. Thus, the RF parameters of a cell are considered to be network parameters affecting the cell group, and the performance of the cell group can be changed by adjusting the RF parameters of a certain cell in the cell group. The RF parameters of the cell may be antenna engineering parameters of the site providing coverage for the cell, such as the direction angle, tilt angle, etc. of the antenna.
The network parameter may also be a cell reselection parameter. The cell re-parameters are used to enable re-access of the terminal device in idle state. For example, when the terminal device is disconnected from the cell a and in the idle state, the terminal device may access the cell D according to the cell re-parameters. The terminal equipment is connected with the cell port, and when the cell reselection is carried out, the performance of some adjacent cells can be influenced, so that the cell reselection parameter is considered to be a network parameter influencing the cell group, and the performance of the cell group can be changed through the cell reselection parameter.
(4) Performance index of cell group
In the embodiment of the present application, the performance index of the cell group is used to describe the performance of the cell group. For example, the performance indicators of the cell group may be cell average user rate, cell less than 5M edge rate duty cycle, network key performance indicators (Key Performance Indicator, KPI), voLTE (Voice over LTE) call drop rate. The network KPI can be call drop rate, access success rate and the like.
(5) Network parameter recommendation algorithm
In the embodiment of the present application, the network parameter recommendation algorithm is used to describe a correspondence between network parameters, state information of a cell group, and performance indexes of the cell group. The network parameter recommendation algorithm may be expressed as (r 1, r 2) = (s, a), where s represents cell group status information, a represents a certain network parameter (e.g., the first network parameter described in the embodiments of the present application) of each cell in the cell group, and r1, r2 represents a performance index of the cell group. It can be understood that the inputs of the network parameter recommendation algorithm are the state information of the cell group and a certain network parameter of each cell in the cell group, and the output of the network parameter recommendation algorithm is the performance index of the cell group. The state information of the cell group can be kept unchanged, and when the value of the network parameter of the cell is changed, the performance indexes of the cell group are different.
In a specific implementation, the network management device may acquire state information of a plurality of different cell groups, network parameters of the cells, and performance indexes, learn the state information of the plurality of different cell groups, the network parameters of the cells, and the performance indexes according to the machine learning model, and acquire a network parameter recommendation algorithm. The machine learning model may be a deep learning model, for example, a support vector machine (Support Vector Machine, SVM) model, a Random Forest (RF) model, or the like.
In a possible implementation manner, the network management device may determine state information of at least one cell group;
and learning the state information, the at least one network parameter and the at least one performance index of the at least one cell group, and determining the network parameter recommendation algorithm. Wherein the determining the status information of the at least one cell group includes: for each cell group in the at least one cell group, determining state information of the cell group according to a phone system index of each cell in the cell group.
By way of example, the network management device may determine a network parameter recommendation algorithm (which may also be referred to as a network parameter recommendation model) by the following three steps:
S1, determining a plurality of cell groups.
Specifically, for a certain cell, a cell group including the cell is determined. For example, determining the same-frequency cell in the neighboring cell of the present cell may further determine a cell group including the present cell and the first N same-frequency cells with a larger number of handovers. Or determining different frequency cells in the neighbor cells of the cell, and determining a cell group comprising the cell and the first N different frequency cells with more switching times. Alternatively, cells within a sector constitute a cell group. Wherein N is a settable value.
S2, acquiring statistical indexes of the cells, and determining state information of each cell group according to the statistical indexes of the cells.
In a specific implementation, the network management device first obtains a statistical indicator of a cell from a network device (e.g., a base station), where the statistical indicator includes state information, network parameters, performance indicators, and the like of the cell. The state information of each cell in the cell group can be calculated to obtain the state information of the cell group.
In one possible implementation manner, the network management device collects and parses the session data, configuration data, and operation log, and may further process the collected data with time as granularity, including dividing and splicing the data, where the processed data is a session index within 15 minutes, for example. The processed data includes status information, performance indicators, network parameters, etc.
And secondly, determining the state information of the cell group according to the processed data. Specifically, the state information of the cells may be an index of an accumulation type, that is, the state information of the cell group may be obtained by summing the indexes of the cells in the cell group. The state information of the cells may also be an index of a calculation type, that is, the index of each cell in the cell group is calculated (for example, the numerator and the denominator are added) first, and then the state information of the cell group is obtained according to the result after the calculation.
The following describes how to obtain the state information of the cell group according to the statistical index of the cell, taking the cell group as a cluster as an example:
(1) The state information is an index of the accumulation type: and adding indexes of each cell in the cluster to obtain state information of the cluster, for example, adding flow rates of each cell in the cluster to obtain flow rate of the cluster, adding the number of users of each cell in the cluster to obtain the number of users of the cluster, and adding scheduling time of each cell in the cluster to obtain scheduling time of the cluster.
(2) The state information is an index of the calculation type: and adding the numerator and the denominator of the parameter acquisition aiming at the indexes of each cell in the cluster, and then calculating the state information of the cluster. For example, the parameter FULLBUFFER rate relates to a statistical period flow and a scheduling duration, wherein the statistical period flow is a numerator and the scheduling duration is a denominator. The statistical period flow corresponding to each cell can be added to obtain a statistical period flow sum, the scheduling time length corresponding to each cell is added to obtain a scheduling time length sum, and the statistical period flow sum is divided by the scheduling time length sum to obtain the FULLBUFFER rate of the cluster.
It should be noted that, the state information of the cell group may also be marked, for example, the state information of the same-frequency cluster is marked as nn. Intra c XXX, the state information of the different-frequency cluster is marked as nn. Inter c. XXX, and the state information of the sector cluster is marked as nn. Sectorp c XXX. The cells in the same-frequency cluster, namely the clusters, are all same-frequency cells, the cells in the different-frequency cluster, namely the clusters, are all different-frequency cells, the cells in the sector clusters, namely the clusters, belong to the same sector, and XXX represents parameters of state information types.
Table 1 shows some statistical indexes and calculation formulas for calculating the indexes, which are used to obtain the state information of the cell group:
TABLE 1
Referring to Table 1, A i Is a time period of one sample period,reference signal received power (reference signal receiving power, RSRP) on a physical uplink shared channel (physical uplink shared channel, PUSCH) of an i-th cell in the cell group. Wherein, taking a single terminal device as a sampling point, RSRP is a value measured by one terminal device. b i Is the number of samples in the ith cell in the cell group in one sampling period.
C i Is the path loss value of the UE residing in the ith cell in the cell group, D j Is the jth path loss value greater than a preset threshold. In one possible implementation, the path loss values of terminal devices in radio resource control (radio resource control) connected state within a cell group may be periodically sampled.
E i Is the number of users in the ith cell in the cell group in one sampling period.
F i Is the data size of the service data unit (service data unit, SDU) successfully transmitted by the i-th cell in the cell group within one sampling period.
G i Is the accumulated value of channel quality indication (channel quality indicator, CQI) values reported by each UE residing in the ith cell in the cell group; hi is the accumulated value of the number of times that each UE in the ith cell in the cell group reports CQI.
G i Is the noise power measured on the i-th cell in the cell group during one sampling period. For example, the noise power may be measured on an uplink physical resource block (physical resource block, PRB).
L i Is the number of available downlink PRBs for the i-th cell in the cell group; k (K) i Is the number of downlink PRBs actually used by the i-th cell in the cell group.
P i Is the number of available uplink PRBs for the i-th cell in the cell group; s is S i Is the number of downlink PRBs actually used by the i-th cell in the cell group.
W i Is the sum of the data sizes of SDUs transmitted by the ith cell in the cell group; the number of available uplink PRBs; v (V) i Is the sum of the effective time lengths of the SDUs transmitted by the ith cell in the cell group. Is required toNote that, no calculation is made for the time length scheduled by the base station but for which data is not actually transmitted.
Q i When SDUs are transmitted on the ith cell in the cell group, the throughput rate is less than the cumulative number of 5 Mbps; the number of available uplink PRBs; t (T) i When SDUs are transmitted on the ith cell in the cell group, the total times of throughput rate are counted.
And S3, learning network parameters, state information of the cell group and performance indexes of the cell group, and determining a network parameter recommendation algorithm.
Specifically, the machine learning model learns network parameters, state information of the cell group and performance indexes of the cell group to obtain a network parameter recommendation algorithm. The network parameter recommendation algorithm may be described as: r=f (s, a).
Where r is the performance index of the cell group. The algorithm supports simultaneous modeling prediction of multiple targets, and it is understood that the output of the network parameter recommendation algorithm may be multiple performance indicators. For example, (r) 1 ，r 2 )＝f(s，a)。
s is state information of the cell group, and may include a plurality of indexes, for example, the number of users, traffic, CQI, etc.
a is a network parameter, which may be a cell system parameter, co-frequency handover, inter-frequency handover, sector load balancing, etc., and may also include a plurality of network parameters. For example, assuming that the cluster includes 5 cells, a may include 5 values, which are co-channel handover parameters P1, P2, P3, P4, P5 of the 5 cells, respectively.
f represents the model relationship between the network parameter a and the state information s of the cell group and the performance index r of the cell group.
The parameter a may be a system parameter affecting the own cell.
An embodiment of the present application provides a method for adjusting network parameters, which is applied to a network management device in fig. 1, as shown in fig. 6, and includes the following steps:
601. determining state information of a first cell group; the state information is used for indicating a telephone system index of a first cell group, the first cell group comprises at least two cells, and the performances of the at least two cells are mutually influenced.
In a specific implementation, the network management device may determine, by the first cell group, state information of the first cell group according to a session index of each of at least two cells included in the first cell group. The cell session index may be a counter index of the cell, for example, the number of users, traffic of the cell, and the like.
In one possible implementation, the state information of the first cell group may be obtained by performing an operation on a session index of each cell in the first cell group. Illustratively, the session metrics for each cell in the first group of cells are summed to obtain the state information for the first group of cells.
It should be noted that, the cells in the first cell group may be the same-frequency cell and different-frequency cell, and the first cell group is a sector, or the first cell group is an SFN area. It can be appreciated that at least two cells in the first cell group are co-frequency cells or inter-frequency cells, or the at least two cells are inter-frequency cells, or the at least two cells belong to the same sector, or the at least two cells belong to the same SFN area.
602. Determining a target value of a first network parameter of each cell in the first cell group according to the state information of the first cell group and a network parameter recommendation algorithm; the network parameter recommendation algorithm is used for describing a corresponding relation among state information, network parameters and performance indexes of the first cell group, and when the value of the first network parameter of each cell is a corresponding target value, the first performance index of the first cell group is optimal.
It should be noted that, the first network parameter is any one of the following parameters: cell system parameters, same frequency cell switching threshold, different frequency cell switching threshold or load balancing parameters. It can be appreciated that the network parameter recommendation algorithm can determine the performance index of the cell group under different cell state information and network parameters. The values of the network parameters are different in the performance indexes of the cell groups, and the optimal performance indexes can be obtained by adjusting the values of the network parameters.
In a specific implementation, first, a performance index r to be optimized is determined, and then state information of a first cell group and a network parameter to be adjusted, for example, a first network parameter described in the embodiment of the present application, are determined. The performance index r which can be obtained by adjusting the network parameter a under certain state information s can be predicted by the network parameter recommendation algorithm. Therefore, the values of the first network parameters are different, and the first performance indexes are different in height, so that the values which enable the first performance indexes to be optimal, namely the target values in the embodiment of the application, can be screened.
In the embodiment of the present application, the values of the first network parameters of each cell in the cell group need to be integrated to obtain the optimal performance index. The target values of the first network parameters of the cells may be the same or different, which is not limited in the embodiment of the present application. For each cell in the first cell group, determining a target value corresponding to one cell, wherein the values of the first network parameters of the other cells are default values. Then, the value of the first network parameter of the cell is fixed, and the value of the first network parameter of another cell is adjusted. The iteration is continued until a set of values is screened that best results in the cell group performance index.
Specifically, a first target value corresponding to an ith cell in the first cell group is determined according to the network parameter recommendation algorithm. All candidate values of the first network parameter may be traversed for an ith cell in the first group of cells to obtain different first performance indicators. The value that makes the first performance index optimal, i.e. the target value corresponding to the i-th cell, may also be screened. The value of the first network parameter of the rest of cells except the ith cell in the first cell group is a default value, and when the value of the first network parameter of the ith cell is the first target value, the first performance index of the first cell group is higher than the first performance index of the first cell group when the value of the first network parameter of the ith cell is the rest of candidate values; and i is an integer greater than or equal to 1.
The value of the first network parameter of the i-th cell may be fixed at the corresponding target value, and the target values of the first network parameters of the other cells may be continuously determined. For example, determining a second target value corresponding to the (i+1) th cell in the first cell group according to the network parameter recommendation algorithm; the value of the first network parameter of the first i cells in the first cell group is a corresponding target value, the values of the first network parameters of the remaining cells in the first cell group except the first i cells are default values, the value of the first network parameter of the i+1th cell is the second target value and the value of the first network parameter of the first i cells is the corresponding target value, the first performance index of the first cell group is higher than the first performance index of the first cell group when the value of the first network parameter of the i+1th cell is the remaining candidate values and the value of the first network parameter of the first i cells is the corresponding target value.
It should be noted that, the default value of the first network parameter may be one of candidate values of the first network parameter, and the default values of the first network parameters of different cells may be the same or different, which is not limited in the embodiment of the present application.
The first group of cells includes, for example, cell a, cell B, and cell C. Candidate values for the first network parameter include x 1 、x 2 、x 3 、x 4 、x 5 Wherein x is 3 Is a default value. First, the first network parameter of cell A takes x sequentially 1 、x 2 、x 3 、x 4 、x 5 The first network parameter of cell B is fixed to x 3 The first network parameter of cell C is fixed to x 3 . The state information s of the first cell group and the network parameter a= (x) 1 ，x 3 ，x 3 )、(x 2 ，x 3 ，x 3 )、(x 3 ，x 3 ，x 3 )、(x 4 ，x 3 ，x 3 )、(x 5 ，x 3 ，x 3 ) The first performance indexes obtained in sequence are as follows: r1 、r 2 、r 3 、r 4 、r 5 . Wherein r is 2 Maximum, the target value of the first network parameter of the cell A is x 2 。
The first network parameter of the fixed cell a is x 2 The first network parameter of cell C is fixed to x 3 The first network parameter of cell B takes x in turn 1 、x 2 、x 3 、x 4 、x 5 The state information s of the first cell group and the network parameter a= (x) 2 ，x 1 ，x 3 )、(x 2 ，x 2 ，x 3 )、(x 2 ，x 3 ，x 3 )、(x 2 ，x 4 ，x 3 )、(x 2 ，x 5 ，x 3 ) The first performance indexes obtained in sequence are as follows: r is (r) 6 、r 7 、r 8 、r 9 、r 10 . Wherein r is 9 Maximum, and r 9 Greater than r 2 The target value of the first network parameter of cell B is x 4 。
The first network parameter of the fixed cell a is x 2 The first network parameter of the fixed cell B is x 4 The first network parameter of cell C is fixed to x 3 The first network parameter of cell C takes x in turn 1 、x 2 、x 3 、x 4 、x 5 The state information s of the first cell group and the network parameter a= (x) 2 ，x 4 ，x 1 )、(x 2 ，x 4 ，x 2 )、(x 2 ，x 4 ，x 3 )、(x 2 ，x 4 ，x 4 )、(x 2 ，x 4 ，x 5 ) The first performance indexes obtained in sequence are as follows: r11 、r 12 、r 13 、r 14 、r 15 . Wherein r is 15 Maximum, and r 15 Greater than r 9 、r 2 The target value of the first network parameter of cell C is x 5 。
Then when the first network parameter of cell a is x 2 The first network parameter of cell B is x 4 The first network parameter of cell C is x 5 When in a first stateThe first performance index of the cell group is optimal, and the first network parameter recommended for the first cell group is x 2 、x 4 、x 5 。
Optionally, the network management device may send the target value of the first network parameter to a network device (e.g., a base station), so that the network device may adjust the value of the first network parameter according to the target value of the first network parameter, optimizing the performance of the first cell group.
Fig. 7 shows a possible structural diagram of the network management apparatus involved in the above-described embodiment in the case where respective functional blocks are divided with corresponding respective functions. The network management device shown in fig. 7 may be a network management device according to an embodiment of the present application, or may be a component in the network management device that implements the above method. As shown in fig. 7, the network management apparatus includes a parameter processing unit 701, a parameter recommending unit 702, and a transceiving unit 703. The processing unit may be one or more processors and the transceiving unit 703 may be a network interface.
A parameter processing unit 701, configured to obtain a statistical indicator of a cell, for example, to support the network management device to perform step 601, and/or other procedures for the techniques described herein.
The parameter recommendation unit 702 is configured to recommend network parameters after cell optimization to improve performance of a cell group, for example, support the network management device to perform step 601, and/or other processes for the technology described herein.
A transceiving unit 703 for supporting communication between, for example, the network management device and other devices, for example, for supporting the network management device to send the target value of the first network parameter to the network device, and/or for other procedures for the techniques described herein.
In a possible implementation manner, the network management device shown in fig. 7 may also be a chip applied to the network management device or the network management device. The Chip may be a System-On-a-Chip (SOC).
The above transceiver unit 702 for receiving/transmitting may be a network interface of the network management device, for receiving signals from other network management devices.
By way of example, in the case of using an integrated unit, a schematic structural diagram of the network management device provided in the embodiment of the present application is shown in fig. 8. In fig. 8, the network management apparatus includes: a processing module 801 and a communication module 802. The processing module 801 is configured to control and manage actions of the network management device, for example, perform the steps performed by the parameter processing unit 701 and the parameter recommendation unit 702, and/or perform other processes of the techniques described herein. The communication module 802 is configured to perform the steps performed by the transceiver unit 703, and support interaction between the network management device and other devices, such as interaction between the network management device and other network devices. As shown in fig. 8, the network management device may further include a storage module 803, where the storage module 803 is configured to store program codes and data of the network management device.
When the processing module 801 is a processor, the communication module 802 is a network interface, and the storage module 803 is a memory, the network management apparatus is the network management apparatus shown in fig. 2.
The present application provides a computer-readable storage medium having computer instructions stored therein. The computer instructions instruct the network management device to perform the above-described network parameter recommendation method, or the computer instructions are used to implement functional units included in the network management device.
The present application provides a computer program product comprising computer instructions. The computer instructions instruct the network management device to perform the above-described network parameter recommendation method, or the computer instructions are used to implement functional units included in the network management device.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the database access device is divided into different functional modules to perform all or part of the functions described above.
In several embodiments provided in the present application, it should be understood that the disclosed database access apparatus and method may be implemented in other manners. For example, the database access apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interface, database access means or unit, in electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and the parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing an apparatus (may be a single-chip microcomputer, a chip or the like) or a processor to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (14)

1. A method for adjusting network parameters, the method comprising:
determining state information of a first cell group; the state information is used for indicating a telephone system index of a first cell group, the first cell group comprises at least two cells, and the performances of the at least two cells are mutually influenced when a first network parameter is adjusted;
determining a target value of a first network parameter of each cell in the first cell group according to the state information of the first cell group and a network parameter recommendation algorithm; the network parameter recommendation algorithm is used for describing a corresponding relation among state information, network parameters and performance indexes of the first cell group, and when the value of the first network parameter of each cell is a corresponding target value, the first performance index of the first cell group is optimal; wherein the first network parameter is any one of the following parameters: cell system parameters, same frequency cell switching threshold, different frequency cell switching threshold or load balancing parameters.
2. The method of claim 1, wherein the determining the state information of the first group of cells comprises:
And determining the state information of the first cell group according to the voice system index of each cell in the at least two cells.
3. The method according to claim 1 or 2, wherein said determining a target value of a first network parameter for each cell in said first group of cells based on state information of said first group of cells and a network parameter recommendation algorithm comprises:
determining a first target value corresponding to an ith cell in the first cell group according to the network parameter recommendation algorithm; the value of the first network parameter of the rest cells except the ith cell in the first cell group is a default value, and the first performance index of the first cell group when the value of the first network parameter of the ith cell is the first target value is higher than the first performance index of the first cell group when the value of the first network parameter of the ith cell is the rest candidate values; the i is an integer greater than or equal to 1;
determining a second target value corresponding to the (i+1) th cell in the first cell group according to the network parameter recommendation algorithm; the value of the first network parameter of the first i cells in the first cell group is a corresponding target value, the values of the first network parameters of the remaining cells in the first cell group except the first i cells are default values, the value of the first network parameter of the i+1th cell is the second target value and the value of the first network parameter of the first i cells is the corresponding target value, the first performance index of the first cell group is higher than the first performance index of the first cell group when the value of the first network parameter of the i+1th cell is the remaining candidate values and the value of the first network parameter of the first i cells is the corresponding target value.
4. A method according to any one of claims 1-3, wherein the method further comprises:
determining state information of at least one cell group;
and learning the state information, the at least one network parameter and the at least one performance index of the at least one cell group, and determining the network parameter recommendation algorithm.
5. The method of claim 4, wherein said determining status information for at least one cell group comprises:
for each cell group in the at least one cell group, determining state information of the cell group according to a phone system index of each cell in the cell group.
6. The method according to any of claims 1-5, wherein the at least two cells are co-frequency cells, or wherein the at least two cells are inter-frequency cells, or wherein the at least two cells belong to the same sector, or wherein the at least two cells belong to the same single frequency networking SFN area.
7. A network management device, comprising:
a parameter processing unit, configured to determine state information of a first cell group; the state information is used for indicating a telephone system index of a first cell group, the first cell group comprises at least two cells, and the performances of the at least two cells are mutually influenced when a first network parameter is adjusted;
A parameter recommendation unit, configured to determine a target value of a first network parameter of each cell in the first cell group according to the state information of the first cell group and a network parameter recommendation algorithm; the network parameter recommendation algorithm is used for describing a corresponding relation among state information, network parameters and performance indexes of the first cell group, and when the value of the first network parameter of each cell is a corresponding target value, the first performance index of the first cell group is optimal; wherein the first network parameter is any one of the following parameters: cell system parameters, same frequency cell switching threshold, different frequency cell switching threshold or load balancing parameters.
8. The network management device of claim 7, wherein the parameter processing unit is specifically configured to determine the state information of the first cell group according to a session index of each of the at least two cells.
9. The network management device according to claim 7 or 8, wherein the parameter recommendation unit is specifically configured to determine a first target value corresponding to an i-th cell in the first cell group according to the network parameter recommendation algorithm; the value of the first network parameter of the rest cells except the ith cell in the first cell group is a default value, and the first performance index of the first cell group when the value of the first network parameter of the ith cell is the first target value is higher than the first performance index of the first cell group when the value of the first network parameter of the ith cell is the rest candidate values; the i is an integer greater than or equal to 1;
Determining a second target value corresponding to the (i+1) th cell in the first cell group according to the network parameter recommendation algorithm; the value of the first network parameter of the first i cells in the first cell group is a corresponding target value, the values of the first network parameters of the remaining cells in the first cell group except the first i cells are default values, the value of the first network parameter of the i+1th cell is the second target value and the value of the first network parameter of the first i cells is the corresponding target value, the first performance index of the first cell group is higher than the first performance index of the first cell group when the value of the first network parameter of the i+1th cell is the remaining candidate values and the value of the first network parameter of the first i cells is the corresponding target value.
10. The network management device according to any of claims 7-9, wherein the parameter recommendation module is further configured to determine status information of at least one cell group;
and learning the state information, the at least one network parameter and the at least one performance index of the at least one cell group, and determining the network parameter recommendation algorithm.
11. The network management device according to claim 10, wherein the parameter recommendation unit is specifically configured to determine, for each of the at least one cell group, state information of the cell group according to a session index of each of the cell groups.
12. The network management device according to any of claims 7-11, wherein the at least two cells are co-frequency cells, or wherein the at least two cells are inter-frequency cells, or wherein the at least two cells belong to the same sector, or wherein the at least two cells belong to the same single frequency networking SFN area.
13. A network management device, the network management device comprising a processor and a memory; the network management device performs the method of any of claims 1 to 6 when the processor executes the computer instructions in the memory.
14. A computer readable storage medium storing computer instructions which, when executed, cause a computer to perform the method of any one of claims 1 to 6.
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