WO2021146923A1

WO2021146923A1 - Method and apparatus for adjusting wireless parameter

Info

Publication number: WO2021146923A1
Application number: PCT/CN2020/073531
Authority: WO
Inventors: 周伟
Original assignee: 华为技术有限公司
Priority date: 2020-01-21
Filing date: 2020-01-21
Publication date: 2021-07-29
Also published as: CN114982268A

Abstract

The present application relates to the technical field of wireless communications, and provides a method and apparatus for adjusting a wireless parameter, for ensuring a key performance indicator (KPI) in a wireless network while improving the wireless network performance. The method comprises: a centralized unit obtains KPI data information; the KPI data information comprising a first KPI that is required to be ensured and a threshold corresponding to the first KPI; the centralized unit obtains, in at least one cell in the wireless network, the first KPI respectively corresponding to each cell; the centralized unit separately compares the first KPI of each cell with the threshold to obtain a target cell on which wireless parameter adjustment is required to be performed; and the centralized unit sends an identifier of the target cell to a distributed unit. On the basis of this solution, the first KPI that is required to be ensured can be obtained when the wireless parameter is adjusted, and the target cell that does not satisfy the threshold of the first KPI can be determined, so as to achieve the purpose of ensuring the first KPI in the wireless network.

Description

Method and device for adjusting wireless parameters

Technical field

This application relates to the field of wireless communication technology, and in particular to a method and device for adjusting wireless parameters.

Background technique

In wireless parameter adjustment schemes, a specific key performance indicator (KPI) is generally used as a target to design different wireless parameter adjustment performance optimization schemes. For example, in the prior art, pilot power adjustment solutions, handover parameter optimization solutions, voice parameter optimization solutions, long-term evolution voice bearer (voice over long-term evolution, VOLTE) optimization parameter solutions, energy saving solutions, etc. However, the above several wireless parameter adjustment schemes can only guarantee specific KPIs in the wireless network.

In the third generation partnership project (3 ^rd generation partnership project, 3GPP) protocol, network data analytics (NWDA) network elements are introduced to define relevant strategies for parameter analysis in wireless networks. However, in the current 3GPP protocol, there is no relevant method for guaranteeing KPIs in wireless networks.

Therefore, in the current wireless parameter adjustment scheme, a wireless parameter adjustment method that guarantees the KPI in the wireless network is needed, which can effectively guarantee the overall KPI of the wireless network when the wireless parameter is adjusted, and at the same time improve the wireless performance.

Summary of the invention

The present application provides a wireless parameter adjustment method and device, which are used to improve the performance of the wireless network while ensuring the KPI in the wireless network.

In the first aspect, an embodiment of the present application provides a wireless parameter adjustment method, including: a centralized unit obtains key performance indicator KPI data information; the KPI data information includes a first KPI that needs to be guaranteed and a threshold corresponding to the first KPI The centralized unit obtains the first KPI corresponding to each cell in at least one cell in the wireless network; the centralized unit compares the first KPI of each cell with the threshold, and obtains the The target cell for radio parameter adjustment; the centralized unit sends the identification of the target cell to the distributed unit.

Based on this solution, the first KPI that needs to be guaranteed can be obtained when the wireless parameters are adjusted, and the target cell that does not meet the threshold of the first KPI can be determined, thereby achieving the purpose of ensuring the first KPI in the wireless network, and making the wireless network The KPI will not deteriorate.

In a possible implementation manner, the centralized unit acquiring the first KPI corresponding to each cell in at least one cell in the wireless network includes: the centralized unit sends a KPI data request to the network management system; The KPI data request includes the identity of each cell in at least one cell and the first KPI indication information that needs to be obtained; the centralized unit receives the first KPI corresponding to each cell sent by the network management system.

Based on this solution, the centralized unit can exchange information with the network management system, and obtain the KPI data of the cell from the network management system to guarantee the KPI in the wireless network.

In a possible implementation manner, before the centralized unit compares the first KPI of each cell with the threshold, and obtains the target cell that needs to be adjusted wirelessly, the method further includes: if the at least There are at least two cells in a cell that can be combined into a combined cell, and the centralized unit determines that the first KPI of the combined cell does not meet the threshold.

Based on this solution, when determining whether the first KPI of each cell meets the threshold, it can be determined in advance whether the first KPI of the combined cell meets the threshold. And when the first KPI of the combined cell does not meet the threshold, it is determined whether the first KPI of each cell meets the threshold, which can reduce the amount of calculation and can also guarantee the KPI in the wireless network according to the level of the combined cell to each cell .

In a possible implementation manner, after the centralized unit sends the identification of the target cell to the distributed unit, the method further includes: the centralized unit receives an adjustment of the target cell by the distributed unit The adjustment result; the adjustment result includes the wireless parameter adjusted in the wireless network and the adjusted parameter value; the centralized unit sends the adjustment result to the network data analysis unit, so that the network data analysis unit is based on the The adjustment result adjusts the KPI data information; and/or, the centralized unit sends the adjustment result to the network management system, so that the network management system updates the first KPI in the wireless network.

Based on this solution, the centralized unit can send the received adjustment result to the network data analysis unit and the network management system. Therefore, the network data analysis unit can adjust the KPI data information according to the adjusted wireless parameters to achieve the purpose of dynamically guaranteeing the KPI in the wireless network, so that the wireless parameter adjustment method provided in the embodiments of the present application is closer to the usage scenario. In addition, the network management system can update the first KPI in the wireless network according to the adjusted wireless parameters.

In a possible implementation manner, the centralized unit acquiring the KPI data information includes: the centralized unit acquiring the KPI data information from a network data analysis unit.

Based on this solution, the centralized unit can exchange information with the network data analysis unit, and obtain KPI data information from the network data analysis unit, so that the centralized unit can guarantee the KPI in the wireless network according to the KPI data information indicated by the network data analysis unit .

In the second aspect, an embodiment of the present application provides another wireless parameter adjustment method, including: a network data analysis unit obtains KPI and data of the KPI from a network management system; The KPI data information includes the first KPI that needs to be guaranteed and the threshold corresponding to the first KPI; or, the network analysis unit obtains preset KPI data information; the network data analysis The unit sends the KPI data information to the centralized unit.

Based on this solution, the network data analysis unit can determine the KPI data information in the current wireless network based on the KPI and KPI data in the wireless network, so that the centralized unit can guarantee the KPI in the wireless network based on the determined KPI data information .

In a possible implementation, the network data analysis unit determines KPI data information according to the KPI and the KPI data, including: the network analysis unit determines the correspondence between the network scenario and the KPI data information according to a preset network scenario Relationship, determine the KPI data information corresponding to the current network scene.

Based on this solution, the network data analysis unit can determine different KPI data information according to different network scenarios, so that the wireless parameter adjustment method in the embodiment of the present application is more suitable for each network scenario.

In a possible implementation manner, after the network data analysis unit sends the KPI data information to the centralized unit, the method further includes: the network data analysis unit receives the adjustment result sent by the centralized unit; The adjustment result includes the adjusted wireless parameter in the wireless network and the adjusted parameter value; the network data unit re-determines the KPI data information according to the adjustment result.

Based on this solution, the network data analysis unit can adjust the KPI data information according to the adjusted wireless parameters to achieve the purpose of dynamically guaranteeing the KPI in the wireless network, making the wireless parameter adjustment method provided in the embodiments of the present application closer to the usage scenario.

In a third aspect, an embodiment of the present application provides a wireless parameter adjustment device, which may be used to perform the operations in the foregoing first aspect and any possible implementation manner of the first aspect. For example, the terminal device may include modules or units for performing the operations in the foregoing first aspect or any possible implementation manner of the first aspect. For example, it includes a processing unit and a transceiver unit.

In a fourth aspect, an embodiment of the present application also provides a wireless parameter adjustment device, which may be used to perform operations in the foregoing second aspect and any possible implementation manner of the second aspect. For example, the wireless parameter adjustment device may include a module or unit for performing each operation in the foregoing second aspect or any possible implementation manner of the second aspect. For example, it includes a second processing unit and a second transceiver unit.

In a fifth aspect, an embodiment of the present application also provides a wireless parameter adjustment system, including the wireless parameter adjustment device of the third aspect and the wireless parameter adjustment device of the fourth aspect.

In a sixth aspect, the embodiments of the present application provide a chip system, including a processor, and optionally a memory; wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the The communication device of the chip system executes any one of the above-mentioned first aspect or any of the possible implementations of the first aspect; and/or makes the communication device installed with the chip system execute any of the above-mentioned second aspect or any possibility of the second aspect Any one of the implementation methods.

In a seventh aspect, the embodiments of the present application provide a computer program product, the computer program product includes: computer program code, when the computer program code is executed by the transceiver unit, processing unit or transceiver, or processor of the communication device, the communication device Perform any of the foregoing first aspect or any of the possible implementations of the first aspect; and/or cause the communication device installed with the chip system to perform any of the foregoing second aspect or any of the possible implementations of the second aspect Either method.

In an eighth aspect, embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a program. The program enables a communication device (for example, a wireless parameter adjustment device) to execute the first aspect or any of the first aspects. Any method in the possible implementation manners; and/or so that a communication device (for example, a wireless parameter adjustment device) installed with a chip system executes any method in the above-mentioned second aspect or any possible implementation manner of the second aspect .

It should be understood that the technical effects that can be achieved by any one of the above-mentioned third aspect to the eighth aspect are the same as the technical effects that can be achieved by the corresponding or the same design in the above-mentioned first and second aspects, and no detailed description will be given here.

Description of the drawings

Figure 1 is a communication system provided by this application;

Figure 2 is a CU network architecture provided by this application;

FIG. 3 is a flowchart of the wireless parameter adjustment method provided by this application;

Figure 4 is one of the schematic diagrams of the wireless parameter adjustment device provided by this application;

Figure 5 is one of the schematic diagrams of the wireless parameter adjustment device provided by this application;

Fig. 6 is a wireless parameter adjustment device provided by this application.

Detailed ways

In order to make the purpose, technical solutions, and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The specific operation method in the method embodiment can also be applied to the device embodiment or the system embodiment.

The technical solutions of the embodiments of this application can be applied to various communication systems, such as long term evolution (LTE) systems, worldwide interoperability for microwave access (WiMAX) communication systems, and the fifth generation of the future (5th Generation, 5G) systems, such as new radio access technology (NR), and future communication systems, such as 6G systems.

This application will present various aspects, embodiments, or features around a system that may include multiple devices, components, modules, and the like. It should be understood and understood that each system may include additional devices, components, modules, etc., and/or may not include all the devices, components, modules, etc. discussed in conjunction with the accompanying drawings. In addition, a combination of these schemes can also be used.

In addition, in the embodiments of the present application, the word "exemplary" is used to mean serving as an example, illustration, or illustration. Any embodiment or design solution described as an "example" in this application should not be construed as being more preferable or advantageous than other embodiments or design solutions. Rather, the term example is used to present the concept in a concrete way.

In the embodiments of the present application, information, signal, message, and channel can sometimes be used together. It should be noted that the meanings to be expressed are the same when the differences are not emphasized. "的 (of)", "corresponding (relevant)" and "corresponding (corresponding)" can sometimes be used together. It should be pointed out that the meanings to be expressed are the same when the difference is not emphasized.

The network architecture and business scenarios described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. Those of ordinary skill in the art will know that with the network With the evolution of architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.

The embodiments of this application can be applied to both traditional typical networks and future UE-centric networks. The UE-centric network introduces a non-cell network architecture, that is, a large number of small stations are deployed in a specific area to form a hyper cell, and each small station is a transmission point of the Hyper cell ( Transmission Point, TP) or Transmission and Reception Point (TRP), and is connected to a centralized controller (controller). When the UE moves in the Hypercell, the network-side device always selects a new sub-cluster for the UE to serve it, thereby avoiding real cell switching and realizing the continuity of UE services. Among them, the network side device includes a wireless network device. Or, in a UE-centric network, multiple network-side devices, such as small stations, can have independent controllers, such as distributed controllers. Each small station can independently schedule users. There is interactive information, so that when providing cooperative services for the UE, there is also a certain degree of flexibility.

In the embodiments of the present application, different base stations may be base stations with different identities, and may also be base stations with the same identity and deployed in different geographic locations. Before the base station is deployed, the base station does not know whether it will involve the scenario applied in the embodiment of the present application. Therefore, the base station or the baseband chip should support the method provided in the embodiment of the present application before deployment. It is understandable that the aforementioned base stations with different identities may be base station identities, cell identities or other identities.

Some scenarios in the embodiments of this application are described by taking the scenario of the NR network in a wireless communication network as an example. It should be noted that the solutions in the embodiments of this application can also be applied to other wireless communication networks, and the corresponding names can also be other. Replace the name of the corresponding function in the wireless communication network.

To facilitate the understanding of the embodiments of the present application, first, the communication system shown in FIG. 1 is taken as an example to describe in detail the communication system applicable to the embodiments of the present application. Fig. 1 shows a schematic diagram of a communication system suitable for the communication method of the embodiment of the present application. As shown in FIG. 1, the communication system 100 includes a network device 102 and a terminal device 106. The network device 102 may be configured with multiple antennas, and the terminal device may also be configured with multiple antennas. Optionally, the communication system may further include a network device 104, and the network device 104 may also be configured with multiple antennas.

It should be understood that the network device 102 or the network device 104 may also include multiple components related to signal transmission and reception (for example, a processor, a modulator, a multiplexer, a demodulator, or a demultiplexer, etc.).

Among them, the network device is a device with a wireless transceiver function or a chip that can be installed in the device. The device includes but is not limited to: evolved Node B (eNB), radio network controller (RNC) , Node B (Node B, NB), base station controller (BSC), base transceiver station (base transceiver station, BTS), home base station (for example, home evolved NodeB, or home Node B, HNB), baseband Unit (baseband unit, BBU), access point (AP), wireless relay node, wireless backhaul node, transmission point (transmission and reception point, TRP) in the wireless fidelity (WIFI) system Transmission point, TP), etc., can also be 5G, such as NR, gNB in the system, or transmission point (TRP or TP), one or a group of base stations (including multiple antenna panels) antenna panels in the 5G system Or, it may also be a network node that constitutes a gNB or a transmission point, such as a baseband unit (BBU), or a distributed unit (DU, distributed unit), etc.

In some deployments, the gNB may include a centralized unit (CU) and a DU. The gNB may also include a radio unit (RU). CU implements some functions of gNB, DU implements some functions of gNB, for example, CU implements radio resource control (radio resource control, RRC), packet data convergence protocol (packet data convergence protocol, PDCP) layer functions, and DU implements wireless link Channel control (radio link control, RLC), media access control (media access control, MAC) and physical (physical, PHY) layer functions. Since the information of the RRC layer will eventually be transformed into the information of the PHY layer, or transformed from the information of the PHY layer, under this architecture, high-level signaling, such as RRC layer signaling or PDCP layer signaling, can also be It is considered to be sent by DU, or sent by DU+CU. It can be understood that the network device may be a CU node, or a DU node, or a device including a CU node and a DU node. In addition, the CU can be divided into network equipment in the access network RAN, and the CU can also be divided into network equipment in the core network CN, which is not limited here.

The RAN equipment can be implemented by one node to implement the functions of the RRC, PDCP, RLC, and MAC protocol layers; or multiple nodes can implement the functions of these protocol layers; for example, in an evolution structure, the RAN equipment can include CU and DU, Multiple DUs can be centrally controlled by one CU. CU and DU can be divided according to the protocol layer of the wireless network. For example, the functions of the PDCP layer and the above protocol layers are set in the CU, and the protocol layers below the PDCP, such as the RLC layer and the MAC layer, are set in the DU.

This type of protocol layer division is just an example, it can also be divided in other protocol layers, for example, in the RLC layer, the functions of the RLC layer and above protocol layers are set in the CU, and the functions of the protocol layers below the RLC layer are set in the DU; Or, in a certain protocol layer, for example, part of the functions of the RLC layer and the functions of the protocol layer above the RLC layer are set in the CU, and the remaining functions of the RLC layer and the functions of the protocol layer below the RLC layer are set in the DU. In addition, it can also be divided in other ways, for example, by time delay. The functions that need to meet the time delay requirements for processing time are set in the DU, and the functions that do not need to meet the delay requirements are set in the CU.

In addition, the radio frequency device can be remote, not placed in the DU, can also be integrated in the DU, or part of the remote part is integrated in the DU, and there is no restriction here.

With reference to the network architecture shown in Figure 2, the control plane (CP) and the user plane (UP) of the CU can also be separated and divided into different entities for implementation, namely the control plane CU entity (CU-CP entity) and the user plane CU entity (CU-UP entity).

In the above network architecture, the signaling generated by the CU can be sent to the terminal device through the DU, or the signaling generated by the terminal device can be sent to the CU through the DU. The DU may directly pass the protocol layer encapsulation without analyzing the signaling and transparently transmit it to the terminal device or the CU. In the following embodiments, if the transmission of such signaling between the DU and the terminal device is involved, at this time, the sending or receiving of the signaling by the DU includes this scenario. For example, RRC or PDCP layer signaling will eventually be processed as PHY layer signaling and sent to the terminal device, or converted from received PHY layer signaling. In this architecture, the RRC or PDCP layer signaling can also be considered to be sent by the DU, or sent by the DU and radio frequency load.

In the above embodiments, the CU can be divided into network equipment on the RAN side. In addition, the CU can also be divided into network equipment on the CN side, which is not limited here.

The devices in the following embodiments of the present application may be located in terminal equipment or network equipment according to their realized functions. When the above CU-DU structure is adopted, the network device may be a CU node, or a DU node, or a RAN device including a CU node and a DU node.

Terminal equipment can also be called user equipment (UE), access terminal equipment, user unit, user station, mobile station, mobile station, remote station, remote terminal equipment, mobile equipment, user terminal equipment, terminal equipment, wireless Communication equipment, user agent or user device. The terminal device in the embodiment of the present application may be a mobile phone (mobile phone), a tablet computer (Pad), a computer with a wireless transceiver function, a virtual reality (VR) terminal device, and an augmented reality (AR) terminal Equipment, wireless terminal equipment in industrial control, wireless terminal equipment in self-driving, wireless terminal equipment in remote medical, and wireless terminal equipment in smart grid , Wireless terminal equipment in transportation safety, wireless terminal equipment in smart city, wireless terminal equipment in smart home, etc. The embodiments of this application do not limit the application scenarios. In this application, terminal devices with wireless transceiver functions and chips that can be installed in the aforementioned terminal devices are collectively referred to as terminal devices.

In the communication system 100, both the network device 102 and the network device 104 can communicate with multiple terminal devices (for example, the terminal device 106 shown in the figure). The network device 102 and the network device 104 may communicate with one or more terminal devices similar to the terminal device 106. However, it should be understood that the terminal device communicating with the network device 102 and the terminal device communicating with the network device 104 may be the same or different. The terminal device 106 shown in FIG. 1 can communicate with the network device 102 and the network device 104 at the same time, but this only shows one possible scenario. In some scenarios, the terminal device may only communicate with the network device 102 or the network device 104. 104 communications, this application does not limit this.

It should be understood that FIG. 1 is only a simplified schematic diagram of an example for ease of understanding, and the communication system may also include other network devices or other terminal devices, which are not shown in FIG. 1.

In the wireless network environment, in the process of optimizing the network KPI, it is necessary to continuously adjust the wireless parameters of the cell to obtain the best wireless network performance. In the embodiments of this application, reinforcement learning is applied to the wireless network parameter adjustment scheme. Reinforcement learning is an agent (agent) taking a series of behaviors in the environment to obtain the largest cumulative return. Since there is no direct guidance information for reinforcement learning, the agent has to continuously interact with the environment and obtain the best strategy through a variety of attempts. Through reinforcement learning, an agent can know what behavior should be taken in what state. The following is a detailed description of the reinforcement learning process.

An enhanced learning process usually includes the following three tuples:

S: represents the state set (state), there is s _i ∈S, and s _i represents the state of the i-th step;

A: represents a set of actions, a _i ∈A, a _i represents the action of the i-th step;

R: S×A→R, R is the reward function. If a group (s ₁ ,a ₁ ) transitions to the next state s ₂ , then the reward function can be denoted as r(s ₂ |s ₁ ,a ₁ ). If the next state s ₂ corresponding to (s ₁ , a ₁ ) is unique, then the reward function can also be denoted as r(s ₁ , a ₁ ).

The process of reinforcement learning can be expressed as a Markov decision process: the initial state of an agent is s ₀ , and then an action a ₀ is selected from A to execute, and the environment is transferred to the next s ₁ state after execution Perform another action a ₁ , and the environment shifts to s ₂ , and so on.

There are many parameters in radio resource management (RRM), and many of them are default and fixed. The default parameter settings are not optimal for each cell and cannot maximize the efficiency of the wireless network. For example, changes in user movement and traffic patterns also require changes in wireless parameters. Therefore, the aforementioned reinforcement learning can be used to adjust the wireless parameters to find the optimal wireless parameters. For example, enhanced learning can be applied to multiple wireless functions such as pilot adjustment, antenna tilt and azimuth adjustment.

The state set, action, and return function required by the wireless network can be pre-defined in the design stage, and the defined algorithm can be used for wireless parameter adjustment. However, this approach is not flexible enough to modify and adjust the algorithm, and cannot give the most suitable system state set, action, and reward function. On the other hand, wireless networks have strict requirements on KPIs, requiring that KPIs cannot be significantly reduced during the parameter adjustment process. Therefore, it is often necessary to introduce KPI guarantee strategies. In the prior art, a specific KPI is generally used as a target to design different wireless parameter adjustment performance optimization schemes. However, this wireless parameter adjustment solution can only guarantee specific KPIs in the wireless network in a specific solution. In addition, relevant strategies for parameter analysis in wireless networks are defined in the 3GPP protocol. However, the current 3GPP protocol does not have relevant methods to guarantee KPIs in wireless networks.

Therefore, there is a need for a wireless parameter adjustment method that guarantees the KPI in the wireless network, which can effectively guarantee the total KPI of the wireless network when the wireless parameter is adjusted, and at the same time improve the performance of the wireless network.

Based on the foregoing requirements, an embodiment of the present application provides a wireless parameter adjustment method. Fig. 3 is an exemplary flow chart of a wireless parameter adjustment method provided by an embodiment of the present application from the perspective of device interaction. As shown in Figure 3, the method may include the following steps:

Step 301: The network data analysis unit NWDA obtains the KPI and the KPI data from the network management system NMS. It should be noted that for systems without NWDA defined, modules that analyze wireless data can be regarded as NWDA network elements.

The KPI here is the wireless network index that the network operation and maintenance personnel care about. It can include, but is not limited to, the wireless connection rate, which is used to reflect the success rate of the UE accessing the network. Alternatively, the KPI may also include the handover success rate. Handover is a very important function of the mobile communication system. The handover success rate is used to identify the success rate of the UE in maintaining a continuous call when switching between different cells. Alternatively, the KPI may also include the wireless call drop rate, which is used to indicate the proportion of the UE being abnormally released.

In a possible implementation, the network elements such as CU and DU in the wireless network environment report the wireless parameters and parameter values of each cell to the NMS, so that the NMS can determine the wireless network environment based on the wireless parameters and parameter values. KPIs. Among them, for a cell, the wireless parameters can include pilot power, pilot ratio, antenna downtilt, antenna azimuth, load of the cell and neighboring cells, number of users, and reference signal received power (RSRP) Wait for the corresponding parameter value.

Step 302: The network data analysis unit NWDA determines KPI data information according to the KPI and the KPI data. The KPI data information here may include the first KPI that needs to be guaranteed and the threshold corresponding to the first KPI.

In a possible implementation manner, NWDA can determine the current network scenario according to the acquired KPI. And according to the corresponding relationship between the preset network scene and the KPI data information, the KPI data information corresponding to the current network scene is determined.

In different network scenarios, different KPI guarantee information can be preset according to experience values. The network scenarios here can be different geographical locations, such as urban areas, suburbs, and so on. For example, KPI guarantee information in urban areas may include a wireless connection rate threshold of 98% and a handover success rate threshold of 98%; suburban KPI guarantee information may include a wireless connection rate threshold of 90% and a handover success rate threshold. Is 90% and so on. Alternatively, the network scenarios may also be of different network scales, such as many access UEs and few access UEs. Among them, the number of access UEs can be determined by a preset threshold. For example, if the number of access UEs is greater than or equal to the threshold, it can be determined that there are many access UEs, and the number of access UEs less than the threshold can be determined that there are few access UEs. For example, when the accessed UE is greater than or equal to the threshold, the KPI guarantee information may include that the wireless connection rate threshold is 98%, the handover success rate threshold is 98%, and the wireless call drop rate threshold is 0.1%; When the UE is less than the threshold, the KPI guarantee information may include the threshold of the wireless connection rate is 95%, the threshold of the handover success rate is 96%, and the threshold of the wireless call drop rate is 0.2%. Or, the network scenario may also be different service experience requirements, for example, the UE has a call requirement, or the UE has a data connection requirement.

In another example, different network scenarios may also be preset with the same KPI assurance information, or different network scenarios may be preset with part of the same KPI assurance information.

In another possible implementation manner, NWDA can also obtain preset KPI data information. Among them, the KPI data information is predetermined based on experience values, and this application does not make specific restrictions.

Step 303: The network data analysis unit NWDA sends the KPI data information to the centralized unit CU.

Step 304: The centralized unit CU obtains the first KPI corresponding to each cell in at least one cell in the wireless network.

In a possible implementation manner, the CU may send a KPI data request to the NMS. Wherein, the KPI request includes the identity of each cell in at least one cell, and the first KPI indication information that needs to be obtained. The NMS may obtain the first KPI of each cell in the at least one cell according to the first KPI indication information, and send the obtained first KPI to the CU.

In another possible implementation manner, the KPI request further includes the data time length and the data time interval. Wherein, the data time length may be a KPI of a certain time length, for example, the KPI of a cell within 10s. The data interval can be KPIs in a specific interval period, such as KPIs per second, KPIs per minute, KPIs per hour, etc.

For example, the KPI data request sent by the CU to the NMS includes cell1 and cell2, and the first KPI indication information is the wireless connection rate and the handover success rate, the data time length is 5s, and the data time interval is 1s. Then the NMS obtains the wireless connection rate and the handover success rate of cell1 and cell2 5s ago. Among them, the wireless connection rate and the handover success rate are both per second.

Step 305: The centralized unit CU compares the first KPI of each cell with the threshold respectively to obtain a target cell that needs to be adjusted for wireless parameters.

In a possible implementation manner, the CU compares the first KPI of each cell with a threshold respectively, and uses each cell whose first KPI does not meet the threshold as a target cell. In an example, the CU may use each cell in which all the first KPIs do not meet the threshold as the target cell for which radio parameter adjustment is required. In another example, the CU may use each cell for which part of the first KPI does not meet the threshold as a target cell for which radio parameter adjustment needs to be performed.

For example, the KPI data information obtained by the CU includes the wireless connection rate threshold of 98%, and the obtained wireless connection rate of cell1 is 95%, the wireless connection rate of cell2 is 98%, and the wireless connection rate of cell3 is 98%. The rate is 98.5%. Then the CU determines that the target cell that needs to be adjusted for wireless parameters is cell1. For another example, the KPI data information obtained by the CU includes the threshold of the wireless connection rate of 97%, the handover success rate of 98%, and the obtained wireless connection rate of cell1 of 98%, handover success rate of 97%, and cell2’s The wireless connection rate is 98%, the handover success rate is 98.5%, the wireless connection rate of cell3 is 96%, and the handover success rate is 96%. Then the CU can determine that cell1 and cell2 are target cells that need to be adjusted wireless parameters.

In another possible implementation manner, if there are at least two cells in at least one cell that can be combined into a combined cell, the CU determines whether the first KPI of the combined cell meets the threshold according to the threshold of the first KPI. If the first KPI of the combined cell does not meet the threshold, the CU determines whether the first KPI of each cell in the combined cell meets the threshold. The CU takes each cell that does not meet the threshold as a target cell.

The combined cell here can be pre-stored in the CU, or it can be obtained by the CU from the NWDA.

It should be noted that the first KPI of the combined cell may be obtained according to the first KPI of each cell in the combined cell. For example, the first KPI of the combined cell may be the average number of the first KPI of each cell in the combined cell.

In an example, the CU may determine whether the first KPI of each cell in the combined cell meets the threshold when all the first KPIs of the combined cell do not meet the threshold. In another example, the CU may determine whether the first KPI of each cell in the combined cell meets the threshold when some of the first KPIs of the combined cell do not meet the threshold.

For example, cell1 and cell2, cell3 are combined cell a, and cell4 and cell5 are combined cell b. The KPI data information obtained by the CU includes a wireless connection rate threshold of 98%, and a handover success rate of 97%. CU obtains that the wireless connection rate of cell1 is 98.3%, the handover success rate is 97%, the wireless connection rate of cell2 is 99%, the handover success rate is 96%, the wireless connection rate of cell3 is 98.7%, and the handover success rate is 98.7%. 95%, the wireless connection rate of cell4 is 97.4%, the handover success rate is 99%, the wireless connection rate of cell5 is 99.2%, and the handover success rate is 97%. The CU determines that the wireless connection rate of combined cell a is 98.6%, the handover success rate is 96%, the wireless connection rate of combined cell b is 98.3%, and the handover success rate is 98%. Since the first KPI of the combined cell a does not meet the threshold, the CU compares the first KPI of each cell in the combined cell a with the threshold. The CU can determine that cell2 and cell3 are target cells that need to be adjusted for wireless parameters.

Step 306: The centralized unit CU sends the identity of the target cell to the distributed unit DU.

In an example, the CU may send the identity of the target cell to the DU, and the DU adjusts the wireless parameters of the target cell. In another example, the CU may send the identity of the target cell and the first KPI of the first KPI of the target cell that does not meet the threshold to the DU.

Step 307: The distributed unit DU adjusts the wireless parameters of the target cell.

In a possible implementation manner, when the enhanced learning is applied to the wireless parameter adjustment scheme, the CU may perform a fallback operation or a forward operation on the wireless parameters of the target cell. Wherein, the rollback operation may be a rollback preset step, for example, one step may be rolled back, or two steps may be rolled back, and so on. Similarly, the forward operation can also be forward preset steps, for example, forward one step, or forward two steps, etc.

For example, when adjusting wireless parameters, the agent performs a ₂ action, and the CU acquires the target cell in the wireless network as cell2, and sends cell2 to the DU. At this time, the DU can make the agent perform _{the previous action of the a 2} action, for example, can make the agent perform the a ₁ action or make the agent perform the a ₀ action.

In the embodiment of the present application, after adjusting the wireless parameters of the target cell, the DU may send the adjustment result of the target cell to the CU. Among them, the adjustment result may include the adjusted wireless parameters in the wireless network and the adjusted parameter values.

In a possible implementation manner, the CU may send the adjustment result to the NWDA. NWDA re-determines the KPI data information according to the wireless parameters and parameter values in the adjustment results. Among them, NWDA can determine the current network scenario according to the wireless parameters and parameter values in the wireless network. And can re-determine the KPI data information according to the network scenario.

In another possible implementation manner, the CU may send the adjustment result to the NMS. The NMS can update the first KPI according to the wireless parameters and parameter values in the wireless network. For example, the wireless connection rate in the first KPI in the wireless network is 97%. After receiving the adjustment result, the updated wireless connection rate is 97.5% according to the wireless parameters and parameter values in the wireless network.

The wireless parameter adjustment method of the embodiment of the present application is described in detail above in conjunction with FIG. 1 to FIG. 3. The communication device of the embodiment of the present application will be described in detail below in conjunction with FIG. 4 to FIG. 6.

FIG. 4 is a schematic structural diagram of a wireless parameter adjustment device provided by an embodiment of the present application, for example, it may be a schematic structural diagram of a base station. As shown in FIG. 4, the base station can be applied to the system shown in FIG. 1 to perform the functions of the centralized unit in the foregoing method embodiment. The base station 40 may include one or more radio frequency units, such as a remote radio unit (RRU) 401 and one or more baseband units (BBU) (also referred to as digital units, digital units, DU) 402. The RRU 401 may be called a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, etc., and it may include at least one antenna 4011 and a radio frequency unit 4012. The RRU 401 part is mainly used for receiving and sending of radio frequency signals and conversion of radio frequency signals and baseband signals, for example, used to send the Mujiaoxi cell identifier described in the foregoing embodiment to the DU. The part 402 of the BBU is mainly used for baseband processing, control of the base station, and so on. The RRU 401 and the BBU 402 may be physically set together, or may be physically separated, that is, a distributed base station.

The BBU 402 is the control center of the base station, and may also be called a processing unit, which is mainly used to complete baseband processing functions, such as channel coding, multiplexing, modulation, and spreading. For example, the BBU (processing unit) 402 may be used to control the base station to execute the operation procedure of the centralized unit in the foregoing method embodiment.

In an example, the BBU 402 may be composed of one or more single boards, and multiple single boards may jointly support a radio access network with a single access indication (such as an LTE network), or may respectively support different access standards. Wireless access network (such as LTE network, 4G network or other networks). The BBU 402 further includes a memory 4021 and a processor 4022, and the memory 4021 is used to store necessary instructions and data. For example, the memory 4021 stores the combined cell in the foregoing embodiment. The processor 4022 is used to control the base station to perform necessary actions, for example, to control the base station to execute the operation procedure of the centralized unit in the foregoing method embodiment. The memory 4021 and the processor 4022 may serve one or more single boards. In other words, the memory and the processor can be set separately on each board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits can be provided on each board.

FIG. 5 is a schematic structural diagram of a wireless parameter adjustment device provided by an embodiment of the present application, for example, it may be a schematic structural diagram of a network device. As shown in FIG. 5, the network device can be applied to the system shown in FIG. 1 to perform the functions of the network analysis unit in the foregoing method embodiment. The network device 50 may include one or more radio frequency units, such as a remote radio unit (RRU) 501 and one or more baseband units (BBU) (also referred to as digital units, digital units, DU). )502. The RRU 501 may be called a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, etc., and it may include at least one antenna 5011 and a radio frequency unit 5012. The RRU5011 part is mainly used for receiving and sending of radio frequency signals and conversion of radio frequency signals and baseband signals, for example, for sending the KPI data information described in the foregoing embodiments to a centralized unit. The part 502 of the BBU is mainly used for baseband processing, control of network equipment, and so on. The RRU 501 and the BBU 502 may be physically set together, or may be physically separated, that is, distributed network equipment.

The BBU 502 is the control center of the network equipment, and may also be referred to as a processing unit, which is mainly used to complete baseband processing functions, such as channel coding, multiplexing, modulation, spread spectrum, and so on. For example, the BBU (processing unit) 502 may be used to control the network device to execute the operation procedure of the network analysis unit in the foregoing method embodiment.

In an example, the BBU 502 may be composed of one or more single boards, and multiple single boards may jointly support a radio access network with a single access indication (such as an LTE network), and may also support different access standards. Wireless access network (such as LTE network, 5G network or other networks). The BBU 502 further includes a memory 5021 and a processor 5022, and the memory 5021 is used to store necessary instructions and data. The processor 5022 is used to control the network device to perform necessary actions, for example, to control the network device to execute the operation process of the network analysis unit in the foregoing method embodiment. The memory 5021 and the processor 5022 may serve one or more single boards. In other words, the memory and the processor can be set separately on each board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits can be provided on each board.

Fig. 6 shows a schematic structural diagram of a wireless parameter adjustment device 600. The apparatus 600 may be used to implement the methods described in the foregoing method embodiments, and reference may be made to the descriptions in the foregoing method embodiments. The wireless parameter adjustment device 600 may be a chip, a network device (such as a base station), a terminal device, or other network devices.

The wireless parameter adjustment device 600 includes one or more processors 601. The processor 601 may be a general-purpose processor or a special-purpose processor. For example, it can be a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processor can be used to control wireless parameter adjustment devices (such as base stations, terminal equipment, or chips, etc.), execute software programs, and process software program data . The wireless parameter adjustment device may include a transceiver unit to implement signal input (reception) and output (transmission). For example, the wireless parameter adjustment device may be a chip, and the transceiver unit may be an input and/or output circuit of the chip, or a communication interface. The chip can be used for terminal equipment or base station or other network equipment. For another example, the wireless parameter adjustment device may be a terminal device or a base station or other network equipment, and the transceiver unit may be a transceiver, a radio frequency chip, or the like.

The wireless parameter adjustment device 600 includes one or more of the processors 601, and the one or more processors 601 can implement the method of the centralized unit or the network data analysis unit in the embodiment shown in FIG. 2.

In a possible design, the wireless parameter adjustment device 600 includes means for acquiring key performance indicator KPI data information and sending an identification of the target cell. The function of acquiring the key performance indicator KPI data information and the means for sending the identification of the target cell may be realized by one or more processors. For example, the first transmission power of the second signal may be determined by one or more processors, and the power parameter may be received or the second signal may be transmitted through a transceiver, or an input/output circuit, or an interface of a chip. For the first transmission power of the second signal, reference may be made to the related description in the foregoing method embodiment.

In a possible design, the wireless parameter adjustment device 600 includes means for obtaining KPIs and data of the KPIs from a network management system, and sending KPI data information. For the KPI data and how to send the KPI data information, please refer to the relevant description in the foregoing method embodiment. For example, the power parameter can be transmitted through a transceiver, or an input/output circuit, or an interface of a chip.

Optionally, in addition to implementing the method of the embodiment shown in FIG. 3, the processor 601 may also implement other functions.

Optionally, in a design, the processor 601 may execute instructions to make the wireless parameter adjustment apparatus 600 execute the method described in the foregoing method embodiment. The instructions may be stored in whole or in part in the processor, such as the instruction 603, or may be stored in whole or in part in the memory 602 coupled with the processor, such as the instruction 604, or the

instructions

603 and 604 may be used together to make The wireless parameter adjustment apparatus 600 executes the method described in the foregoing method embodiment.

In another possible design, the wireless parameter adjustment device 600 may also include a circuit, which can implement the functions of the centralized unit or the network data analysis unit in the foregoing method embodiment.

In another possible design, the wireless parameter adjustment device 600 may include one or more memories 602, on which instructions 604 are stored, and the instructions may be executed on the processor to make the wireless parameters The adjustment device 600 executes the method described in the foregoing method embodiment. Optionally, data may also be stored in the memory. The optional processor may also store instructions and/or data. For example, the one or more memories 602 may store the KPI data described in the foregoing embodiment, or the KPI data involved in the foregoing embodiment, if you want. The processor and the memory can be provided separately or integrated together.

In another possible design, the wireless parameter adjustment device 600 may further include a transceiver unit 605 and an antenna 606. The processor 601 may be referred to as a processing unit, and controls a wireless parameter adjustment device (a centralized unit or a network data analysis unit). The transceiver unit 605 may be called a transceiver, a transceiver circuit, or a transceiver, etc., and is used to implement the transceiver function of the wireless parameter adjustment device through the antenna 606.

The present application also provides a wireless parameter adjustment system, which includes the aforementioned one or more centralized units, and, one or more network data analysis units.

It should be noted that the processor in the embodiment of the present application may be an integrated circuit chip with signal processing capability. In the implementation process, the steps of the foregoing method embodiments can be completed by hardware integrated logic circuits in the processor or instructions in the form of software. The above-mentioned processor may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (ASIC), a ready-made programmable gate array (Field Programmable Gate Array, FPGA) or other Programming logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

It can be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), and electrically available Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. The volatile memory may be a random access memory (Random Access Memory, RAM), which is used as an external cache. By way of exemplary but not restrictive description, many forms of RAM are available, such as static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (Double Data Rate SDRAM, DDR SDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced SDRAM, ESDRAM), Synchronous Link Dynamic Random Access Memory (Synchlink DRAM, SLDRAM) ) And Direct Rambus RAM (DR RAM). It should be noted that the memories of the systems and methods described herein are intended to include, but are not limited to, these and any other suitable types of memories.

The embodiment of the present application also provides a computer-readable medium on which a computer program is stored, and when the computer program is executed by a computer, the wireless parameter adjustment method described in any of the foregoing method embodiments is implemented.

The embodiments of the present application also provide a computer program product, which, when executed by a computer, implements the wireless parameter adjustment method described in any of the foregoing method embodiments.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, computer, server, or data center. Transmission to another website, computer, server, or data center via wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center integrated with one or more available media. The usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a high-density digital video disc (Digital Video Disc, DVD)), or a semiconductor medium (for example, a solid state disk (Solid State Disk, SSD)) etc.

An embodiment of the present application also provides a processing device, including a processor and an interface; the processor is configured to execute the wireless parameter adjustment method described in any of the foregoing method embodiments.

It should be understood that the foregoing processing device may be a chip, and the processor may be implemented by hardware or software. When implemented by hardware, the processor may be a logic circuit, an integrated circuit, etc.; when implemented by software, At this time, the processor may be a general-purpose processor, which is realized by reading the software code stored in the memory, and the memory may be integrated in the processor, may be located outside the processor, and exist independently.

It should be understood that “one embodiment” or “an embodiment” mentioned throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of the present application. Therefore, the appearances of "in one embodiment" or "in an embodiment" in various places throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in the various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not correspond to the embodiments of the present application. The implementation process constitutes any limitation.

In addition, the terms "system" and "network" in this article are often used interchangeably in this article. The term "and/or" in this article is only an association relationship describing the associated objects, which means that there can be three relationships, for example, A and/or B, which can mean: A alone exists, A and B exist at the same time, exist alone B these three situations. In addition, the character "/" in this text generally indicates that the associated objects before and after are in an "or" relationship.

It should be understood that in the embodiments of the present application, "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B based on A does not mean that B is determined only based on A, and B can also be determined based on A and/or other information.

A person of ordinary skill in the art may be aware that the units and algorithm steps of the examples described in the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both, in order to clearly illustrate the hardware and software Interchangeability, in the above description, the composition and steps of each example have been generally described in accordance with the function. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the above-described system, device, and unit may refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device, and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the division of units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or integrated. To another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may also be electrical, mechanical or other forms of connection.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments of the present application.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

Through the description of the above implementation manners, those skilled in the art can clearly understand that this application can be implemented by hardware, firmware, or a combination of them. When implemented by software, the above-mentioned functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on the computer-readable medium. The computer-readable medium includes a computer storage medium and a communication medium, where the communication medium includes any medium that facilitates the transfer of a computer program from one place to another. The storage medium may be any available medium that can be accessed by a computer. Take this as an example but not limited to: computer readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or can be used to carry or store instructions or data in the form of structure The desired program code and any other medium that can be accessed by the computer. also. Any connection can suitably become a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable , Fiber optic cable, twisted pair, DSL or wireless technologies such as infrared, wireless and microwave are included in the fixing of the media. As used in this application, Disk and disc include compact discs (CD), laser discs, optical discs, digital versatile discs (DVD), floppy discs and Blu-ray discs. Disks usually copy data magnetically, while discs The laser is used to optically copy the data. The above combination should also be included in the protection scope of the computer-readable medium.

In short, the above descriptions are only preferred embodiments of the technical solutions of the present application, and are not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the protection scope of this application.

Claims

A wireless parameter adjustment method, characterized in that it comprises:

The centralized unit obtains key performance indicator KPI data information; the KPI data information includes the first KPI that needs to be guaranteed and the threshold corresponding to the first KPI;

The centralized unit obtains the first KPI corresponding to each cell in at least one cell in the wireless network;

The centralized unit compares the first KPI of each cell with the threshold respectively to obtain a target cell that needs to be adjusted for wireless parameters;

The centralized unit sends the identity of the target cell to the distributed unit.
The method according to claim 1, wherein the centralized unit acquiring the first KPI corresponding to each cell in at least one cell in the wireless network comprises:

The centralized unit sends a KPI data request to the network management system; the KPI data request includes the identity of each cell in at least one cell, and the first KPI indication information that needs to be obtained;

The centralized unit receives the first KPI corresponding to each cell sent by the network management system.
The method according to claim 1, characterized in that, before the centralized unit compares the first KPI of each cell with the threshold, and obtains the target cell for which radio parameter adjustment is required, the method further comprises:

If there are at least two cells in the at least one cell that can be combined into a combined cell, the centralized unit determines that the first KPI of the combined cell does not meet the threshold.
The method according to any one of claims 1 to 3, wherein after the centralized unit sends the identification of the target cell to the distributed unit, the method further comprises:

The centralized unit receives the adjustment result of the adjustment of the target cell by the distributed unit; the adjustment result includes the adjusted wireless parameter in the wireless network and the adjusted parameter value;

The centralized unit sends the adjustment result to the network data analysis unit, so that the network data analysis unit adjusts the KPI data information according to the adjustment result; and/or, the centralized unit adjusts the adjustment The result is sent to the network management system, so that the network management system updates the first KPI in the wireless network.
The method according to any one of claims 1-4, wherein the centralized unit acquiring the KPI data information comprises:

The centralized unit obtains the KPI data information from a network data analysis unit.
A wireless parameter adjustment method, characterized in that it comprises:

The network data analysis unit obtains the KPI and the KPI data from the network management system;

The network data analysis unit determines KPI data information according to the KPI and the KPI data; the KPI data information includes the first KPI that needs to be guaranteed and the threshold corresponding to the first KPI; or, the network analysis The unit obtains preset KPI data information;

The network data analysis unit sends the KPI data information to the centralized unit.
The method according to claim 6, wherein the network data analysis unit determines KPI data information according to the KPI and the KPI data, comprising:

The network analysis unit determines the KPI data information corresponding to the current network scene according to the preset correspondence between the network scene and the KPI data information.
The method according to any one of claims 6-7, wherein after the network data analysis unit sends the KPI data information to a centralized unit, the method further comprises:

The network data analysis unit receives the adjustment result sent by the centralized unit; the adjustment result includes the adjusted wireless parameter in the wireless network and the adjusted parameter value;

The network data unit re-determines the KPI data information according to the adjustment result.
A wireless parameter adjustment device is characterized by comprising:

The obtaining unit is configured to obtain key performance indicator KPI data information; the KPI data information includes the first KPI that needs to be guaranteed and the threshold corresponding to the first KPI; and obtain the corresponding data of each cell in at least one cell in the wireless network The first KPI;

A processing unit, configured to compare the first KPI of each cell with the threshold respectively to obtain a target cell that needs to be adjusted wireless parameters;

The transceiver unit is configured to send the identity of the target cell to the distributed unit.
The device according to claim 9, wherein the transceiver unit is further configured to:

Sending a KPI data request to the network management system; the KPI data request includes the identity of each cell in at least one cell, and the first KPI indication information that needs to be obtained;

Receiving the first KPI corresponding to each cell sent by the network management system.
The device according to claim 9, wherein the processing unit is further configured to:

Before comparing the first KPI of each cell with the threshold to obtain the target cell that needs to be adjusted for wireless parameters, if there are at least two cells in the at least one cell that can be combined into a combined cell, the The centralized unit determines that the first KPI of the combined cell does not meet the threshold.
The device according to any one of claims 9-11, wherein the transceiver unit is further configured to:

After sending the identifier of the target cell to the distributed unit, receiving the adjustment result of the adjustment of the target cell by the distributed unit; the adjustment result includes the adjusted wireless parameter in the wireless network and the adjusted parameter value;

Sending the adjustment result to the network data analysis unit, so that the network data analysis unit adjusts the KPI data information according to the adjustment result; and/or, sending the adjustment result to the network management system so that all The network management system updates the first KPI in the wireless network.
The device according to any one of claims 9-12, wherein the acquiring unit is further configured to:

Obtain the KPI data information from the network data analysis unit.
A wireless parameter adjustment device is characterized by comprising:

The obtaining unit is used to obtain the KPI and the data of the KPI from the network management system;

The processing unit is configured to determine KPI data information according to the KPI and the KPI data; the KPI data information includes the first KPI that needs to be guaranteed and the threshold corresponding to the first KPI; or, the network analysis unit Obtain preset KPI data information;

The transceiver unit is used to send the KPI data information to the centralized unit.
The device according to claim 14, wherein the processing unit is further configured to:

Determine the KPI data information corresponding to the current network scene according to the correspondence between the preset network scene and the KPI data information.
The device according to any one of claims 14-15, wherein the transceiver unit is further configured to:

After sending the KPI data information to the centralized unit, receiving the adjustment result sent by the centralized unit; the adjustment result includes the adjusted wireless parameter in the wireless network and the adjusted parameter value;

The processing unit is further configured to re-determine KPI data information according to the adjustment result.
A wireless parameter adjustment device, comprising: a processor and a transceiver, the processor is configured to implement communication through the transceiver, and execute the method according to any one of claims 1-5, or execute The method of any one of claims 6-8.
A wireless parameter adjustment device, characterized by comprising a processor and a memory, wherein the memory is used to store computer-executable instructions, and when the processor executes the computer-executable instructions, the device executes The method according to any one of claims 1-5, or the device is made to execute the method according to any one of claims 6-8.
A storage medium having a computer program or instruction stored thereon, wherein the computer program or instruction is executed to cause a processor to execute the method according to any one of claims 1-8.
A chip, characterized in that the chip is coupled with a memory, and is used to read and execute the program instructions stored in the memory to implement the method according to any one of claims 1-5 or 6-8 .