A wireless parameter adjustment method and device

Abstract

The present application provides a wireless parameter adjustment method and device, which relates to the field of wireless communication technology, and is used to improve the performance of wireless networks while ensuring the KPI in wireless networks. The method includes: 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 respectively, and obtains the target cell that needs to adjust the wireless parameters; the centralized unit sends the identifier of the target cell to the distributed unit. Based on this scheme, the first KPI that needs to be guaranteed can be obtained when adjusting the wireless parameters, 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.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a method and device for adjusting wireless parameters. Background Art

[0002] In the wireless parameter adjustment scheme, a specific key performance indicator (KPI) is generally used as a target to design different performance optimization schemes for wireless parameter adjustment. For example, the pilot power adjustment scheme, the switching parameter optimization scheme, the voice parameter optimization scheme, the voice over long-term evolution (VOLTE) optimization parameter scheme, the energy saving scheme, etc. in the prior art. However, the above-mentioned wireless parameter adjustment schemes can only guarantee specific KPIs in the wireless network.

[0003] In the Third Generation Partnership Project (3 rd The 3rd Generation Partnership Project (3GPP) protocol introduced the network data analytics (NWDA) element and defined the relevant policies for parameter analysis in wireless networks. However, the current 3GPP protocol does not have any method to guarantee the KPI in wireless networks.

[0004] Therefore, in the current wireless parameter adjustment scheme, a wireless parameter adjustment method for ensuring the KPI in the wireless network is needed, which can effectively ensure the overall KPI of the wireless network during the wireless parameter adjustment and improve the wireless performance at the same time. Summary of the invention

[0005] The present application provides a wireless parameter adjustment method and device for improving wireless network performance while ensuring KPI in the wireless network.

[0006] In a 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 a first KPI corresponding to each cell in at least one cell in a wireless network; the centralized unit compares the first KPI of each cell with the threshold to obtain a target cell that needs wireless parameter adjustment; the centralized unit sends an identifier of the target cell to a distributed unit.

[0007] Based on this solution, the first KPI to be guaranteed can be obtained when adjusting wireless parameters, and the target cell that does not meet the threshold of the first KPI can be determined, thereby achieving the purpose of guaranteeing the first KPI in the wireless network and preventing the KPI in the wireless network from deteriorating.

[0008] In a possible implementation, the centralized unit obtains the first KPI corresponding to each cell in at least one cell in a wireless network, including: the centralized unit sends a KPI data request to a network management system; the KPI data request includes an identifier of each cell in at least one cell, and first KPI indication information to be obtained; the centralized unit receives the first KPI corresponding to each cell sent by the network management system.

[0009] 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 ensure the KPI in the wireless network.

[0010] In a possible implementation, the centralized unit compares the first KPI of each cell with the threshold respectively to obtain the target cell that needs to adjust the wireless parameters, and further includes: 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.

[0011] 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 ensure the KPI in the wireless network at the level from the combined cell to each cell.

[0012] In a possible implementation, after the centralized unit sends the identifier of the target cell to the distributed unit, it also includes: the centralized unit receives the adjustment result of the distributed unit on the target cell; the adjustment result includes the adjusted wireless parameters in the wireless network and the adjusted parameter values; 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 sends the adjustment result to the network management system, so that the network management system updates the first KPI in the wireless network.

[0013] Based on this solution, the centralized unit can send the received adjustment results 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 ensuring the KPI in the wireless network, making the wireless parameter adjustment method provided in the embodiment of the present application 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.

[0014] In a possible implementation manner, the centralized unit obtains the KPI data information, including: the centralized unit obtains the KPI data information from a network data analysis unit.

[0015] 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.

[0016] In the second aspect, an embodiment of the present application provides another wireless parameter adjustment method, including: a network data analysis unit obtains a KPI and the data of the KPI from a network management system; the network data analysis unit determines KPI data information based on the KPI and the data of the KPI; the KPI data information includes a first KPI that needs to be guaranteed and a threshold corresponding to the first KPI; or, the network analysis unit obtains preset KPI data information; the network data analysis unit sends the KPI data information to a centralized unit.

[0017] Based on this solution, the network data analysis unit can determine the KPI data information in the current wireless network according to the KPI and KPI data in the wireless network, so that the centralized unit can guarantee the KPI in the wireless network according to the determined KPI data information.

[0018] In a possible implementation, the network data analysis unit determines the KPI data information according to the KPI and the KPI data, including: the network analysis unit determines the KPI data information corresponding to the current network scenario according to the correspondence between the preset network scenario and the KPI data information.

[0019] 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 various network scenarios.

[0020] In a possible implementation, after the network data analysis unit sends the KPI data information to the centralized unit, it also includes: the network data analysis unit receives the adjustment result sent by the centralized unit; the adjustment result includes the adjusted wireless parameters in the wireless network and the adjusted parameter values; the network data unit re-determines the KPI data information based on the adjustment result.

[0021] 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 ensuring the KPI in the wireless network, making the wireless parameter adjustment method provided in the embodiment of the present application closer to the usage scenario.

[0022] In a third aspect, an embodiment of the present application provides a wireless parameter adjustment device, which can be used to perform the operations in the first aspect and any possible implementation of the first aspect. For example, the terminal device may include a module or unit for performing each operation in the first aspect or any possible implementation of the first aspect. For example, it includes a processing unit and a transceiver unit.

[0023] In a fourth aspect, an embodiment of the present application further provides a wireless parameter adjustment device, which can be used to perform the operations in the second aspect and any possible implementation of the second aspect. For example, the wireless parameter adjustment device may include a module or unit for performing each operation in the second aspect or any possible implementation of the second aspect. For example, it includes a second processing unit and a second transceiver unit.

[0024] In a fifth aspect, an embodiment of the present application further provides a wireless parameter adjustment system, comprising the wireless parameter adjustment device of the third aspect and the wireless parameter adjustment device of the fourth aspect.

[0025] In the sixth aspect, an embodiment of the present application provides 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 a communication device equipped with the chip system executes any method in the above-mentioned first aspect or any possible implementation of the first aspect; and / or, a communication device equipped with the chip system executes any method in the above-mentioned second aspect or any possible implementation of the second aspect.

[0026] In the seventh aspect, an embodiment of the present application provides a computer program product, which includes: a computer program code, when the computer program code is executed by a transceiver unit, a processing unit or a transceiver, or a processor of a communication device, the communication device executes any method in the above-mentioned first aspect or any possible implementation of the first aspect; and / or, a communication device equipped with a chip system executes any method in the above-mentioned second aspect or any possible implementation of the second aspect.

[0027] In an eighth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a program, and the program enables a communication device (for example, a wireless parameter adjustment device) to execute any method of the above-mentioned first aspect or any possible implementation of the first aspect; and / or enables a communication device (for example, a wireless parameter adjustment device) equipped with a chip system to execute any method of the above-mentioned second aspect or any possible implementation of the second aspect.

[0028] It should be understood that the technical effect that may be achieved by any one of the designs in the third to eighth aspects mentioned above is the same as the technical effect that may be achieved by the corresponding or same design in the first and second aspects mentioned above, and no detailed description will be given here. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A communication system provided for this application;

[0030] Figure 2 A network architecture of a CU provided for this application;

[0031] Figure 3 A flow chart of the wireless parameter adjustment method provided in this application;

[0032] Figure 4 One of the schematic diagrams of the wireless parameter adjustment device provided in this application;

[0033] Figure 5 One of the schematic diagrams of the wireless parameter adjustment device provided in this application;

[0034] Figure 6 A wireless parameter adjustment device provided in this application. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the present application more clear, the present application will be further described in detail below in conjunction with the accompanying drawings. The specific operation method in the method embodiment can also be applied to the device embodiment or the system embodiment.

[0036] The technical solutions of the embodiments of the present application can be applied to various communication systems, for example: long term evolution (LTE) system, worldwide interoperability for microwave access (WiMAX) communication system, future fifth generation (5G) system, such as new radio access technology (NR), and future communication systems, such as 6G system.

[0037] The present application will present various aspects, embodiments or features around a system that may include multiple devices, components, modules, etc. It should be understood and appreciated that each system may include additional devices, components, modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in conjunction with the figures. In addition, combinations of these schemes may also be used.

[0038] In addition, in the embodiments of the present application, the word "exemplary" is used to indicate an example, illustration or description. Any embodiment or design described as "exemplary" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present concepts in a concrete way.

[0039] In the embodiments of the present application, information, signal, message, and channel can sometimes be used interchangeably. It should be noted that when the distinction between them is not emphasized, the meanings they intend to express are consistent. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the distinction between them is not emphasized, the meanings they intend to express are consistent.

[0040] The network architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. A person of ordinary skill in the art can appreciate that with the evolution of the network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0041] The embodiments of the present application can be applied not only in traditional typical networks, but also in 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, each small station is a transmission point (TP) or a transmission and reception point (TRP) of the hyper cell, and is connected to a centralized controller. When the UE moves in the hyper cell, the network side device constantly selects a new sub-cluster for the UE to serve it, thereby avoiding real cell switching and achieving continuity of UE services. Among them, the network side device includes a wireless network device. Alternatively, in a UE-centric network, multiple network side devices, such as small stations, can have independent controllers, such as distributed controllers, and each small station can independently schedule users. There is long-term interactive information between small stations, so that there is also a certain flexibility in providing collaborative services for UE.

[0042] In the embodiment of the present application, different base stations may be base stations with different identifiers, or may be base stations with the same identifier deployed in different geographical locations. Since the base station does not know whether it will be involved in the scenario applied by the embodiment of the present application before it is deployed, the base station or the baseband chip should support the method provided by the embodiment of the present application before deployment. It is understandable that the aforementioned base station with different identifiers may be a base station identifier, or a cell identifier or other identifier.

[0043] Some scenarios in the embodiments of the present application are explained by taking the scenarios of the NR network in the wireless communication network as an example. It should be pointed out that the solutions in the embodiments of the present application can also be applied to other wireless communication networks, and the corresponding names can also be replaced by the names of the corresponding functions in other wireless communication networks.

[0044] To facilitate understanding of the embodiments of the present application, first Figure 1 The communication system shown in the figure is used as an example to describe in detail the communication system applicable to the embodiments of the present application. Figure 1 A schematic diagram of a communication system applicable to the communication method of an embodiment of the present application is shown. Figure 1 As shown, 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 also include a network device 104, and the network device 104 may also be configured with multiple antennas.

[0045] It should be understood that the network device 102 or the network device 104 may also include a plurality of components related to signal transmission and reception (eg, a processor, a modulator, a multiplexer, a demodulator or a demultiplexer, etc.).

[0046] Among them, the network device is a device with wireless transceiver functions or a chip that can be set in the device. The device includes but is not limited to: evolved Node B (eNB), radio network controller (RNC), Node B (NB), base station controller (BSC), base transceiver station (BTS), home base station (for example, home evolved NodeB, or homeNode B, HNB), baseband unit (BBU), access point (AP) in wireless fidelity (WIFI) system, wireless relay node, wireless backhaul node, transmission point (TRP or transmission point, TP), etc., and can also be a gNB in ​​5G, such as NR, system, or a transmission point (TRP or TP), one or a group of (including multiple antenna panels) antenna panels of a base station in a 5G system, or it can also be a network node constituting a gNB or a transmission point, such as a baseband unit (BBU), or a distributed unit (DU, distributed unit) etc.

[0047] In some deployments, the gNB may include a centralized unit (CU) and a DU. The gNB may also include a radio unit (RU). The CU implements some functions of the gNB, and the DU implements some functions of the gNB, for example, the CU implements the functions of the radio resource control (RRC) and packet data convergence protocol (PDCP) layers, and the DU implements the functions of the radio link control (RLC), media access control (MAC) and physical (PHY) layers. Since the information of the RRC layer will eventually be converted into the information of the PHY layer, or converted 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 considered to be sent by the DU, or by the DU+CU. It can be understood that the network device can be a CU node, a DU node, or a device including a CU node and a DU node. In addition, the CU can be divided into a network device in the access network RAN, and the CU can also be divided into a network device in the core network CN, which is not limited here.

[0048] The RAN device can implement the functions of the protocol layers such as RRC, PDCP, RLC and MAC by one node; or the functions of these protocol layers can be implemented by multiple nodes; for example, in an evolutionary structure, the RAN device can include CU and DU, and multiple DUs can be centrally controlled by one CU. The CU and DU can be divided according to the protocol layers of the wireless network, for example, the functions of the PDCP layer and above protocol layers are set in the CU, and the functions of the protocol layers below the PDCP, such as the RLC layer and the MAC layer, are set in the DU.

[0049] This division of the protocol layer is only an example. It can also be divided in other protocol layers, such as dividing in the RLC layer, setting the functions of the RLC layer and the protocol layers above in the CU, and the functions of the protocol layers below the RLC layer in the DU; or dividing in a certain protocol layer, for example, setting some functions of the RLC layer and the functions of the protocol layers above the RLC layer in the CU, and setting the remaining functions of the RLC layer and the functions of the protocol layers below the RLC layer in the DU. In addition, it can also be divided in other ways, such as dividing by latency, setting the functions whose processing time needs to meet the latency requirements in the DU, and the functions that do not need to meet the latency requirements in the CU.

[0050] In addition, the radio frequency device can be remote and not placed in the DU, or can be integrated in the DU, or can be partially remote and partially integrated in the DU, without any limitation here.

[0051] refer to Figure 2 The network architecture shown can also separate the control plane (CP) and user plane (UP) of the CU and divide them into different entities for implementation, namely, the control plane CU entity (CU-CP entity) and the user plane CU entity (CU-UP entity).

[0052] 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 can directly encapsulate the signaling through the protocol layer and transparently transmit it to the terminal device or CU without parsing it. 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, the signaling of the RRC or PDCP layer will eventually be processed as the signaling of the PHY layer and sent to the terminal device, or it will be converted from the received signaling of the PHY layer. Under this architecture, the signaling of the RRC or PDCP layer can also be considered to be sent by the DU, or sent by the DU and the RF loader.

[0053] In the above embodiments, the CU may be divided into a network device on the RAN side. Furthermore, the CU may also be divided into a network device on the CN side, which is not limited here.

[0054] The devices in the following embodiments of the present application may be located in a terminal device or a network device according to the functions implemented. When the above CU-DU structure is adopted, the network device may be a CU node, a DU node, or a RAN device including a CU node and a DU node.

[0055] The terminal device may also be referred to as user equipment (UE), access terminal equipment, user unit, user station, mobile station, mobile station, remote station, remote terminal equipment, mobile device, user terminal equipment, terminal equipment, wireless communication equipment, user agent or user device. The terminal equipment in the embodiments of the present application may be a mobile phone, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal equipment, an augmented reality (AR) terminal equipment, a wireless terminal equipment in industrial control, a wireless terminal equipment in self-driving, a wireless terminal equipment in remote medical, a wireless terminal equipment in smart grid, a wireless terminal equipment in transportation safety, a wireless terminal equipment in smart city, a wireless terminal equipment in smart home, etc. The embodiments of the present application do not limit the application scenarios. In the present application, the terminal equipment with wireless transceiver function and the chip that can be set in the aforementioned terminal equipment are collectively referred to as terminal equipment.

[0056] In the communication system 100, 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 can 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 can be the same or different. Figure 1 The terminal device 106 shown in the figure 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. This application does not limit this.

[0057] It should be understood that Figure 1 This is a simplified schematic diagram for ease of understanding only. The communication system may also include other network devices or other terminal devices. Figure 1 Not drawn in.

[0058] In a wireless network environment, when optimizing network KPIs, it is necessary to continuously adjust the wireless parameters of the cell to obtain the best wireless network performance. In the embodiment of the present application, reinforcement learning is applied to the wireless network parameter adjustment scheme. Reinforcement learning is a series of actions taken by an agent in an environment to obtain the maximum cumulative reward. Since reinforcement learning has no direct guidance information, the agent must constantly interact with the environment and try a variety of methods to obtain the best strategy. Through reinforcement learning, an agent can know what behavior should be taken in what state. The reinforcement learning process is described in detail below.

[0059] A reinforcement learning process usually includes the following three tuples:

[0060] S: represents the state set (state), with s i ∈S,s i Indicates the state of step i;

[0061] A: represents a set of actions, with a i ∈A,a i represents the action of step i;

[0062] R: S×A→R, R is the reward function. If a set (s1, a1) is transferred to the next state s2, then the reward function can be recorded as r(s2|s1, a1). If the next state s2 corresponding to (s1, a1) is unique, then the reward function can also be recorded as r(s1, a1).

[0063] The process of reinforcement learning can be expressed as a Markov decision process: the initial state of an agent is s0, and then an action a0 is selected from A to execute. After execution, the environment is transferred to the next state s1, and then an action a1 is executed, and the environment is transferred to s2, and so on.

[0064] There are many parameters in radio resource management (RRM), and many of them are default and fixed. However, the default parameter settings are not optimal for each cell and cannot maximize the efficiency of the wireless network. For example, changes in user mobility and traffic patterns also require changes in wireless parameters. Therefore, the aforementioned reinforcement learning can be used to adjust wireless parameters and find the optimal wireless parameters. For example, reinforcement learning can be applied to multiple wireless functions such as pilot adjustment, antenna tilt and azimuth adjustment.

[0065] The state set, action and reward function required by the wireless network can be pre-defined during the design phase, and the defined algorithm can be used for wireless parameter adjustment. However, this approach is not flexible enough, the algorithm cannot be modified and adjusted, and the state set, action and reward function that are most suitable for the system cannot be given. On the other hand, the wireless network has strict requirements on KPI, requiring that the KPI cannot drop significantly during the parameter adjustment process. Therefore, it is often necessary to introduce a KPI guarantee strategy. In the prior art, different performance optimization schemes for wireless parameter adjustment are generally designed with a specific KPI as the target. However, this wireless parameter adjustment scheme can only guarantee a specific KPI in the wireless network in a specific scheme. In addition, the 3GPP protocol defines the relevant strategies for parameter analysis in the wireless network. However, the current 3GPP protocol does not have a relevant method for guaranteeing KPI in the wireless network.

[0066] Therefore, a wireless parameter adjustment method for ensuring KPI in a wireless network is needed, which can effectively ensure the overall KPI of the wireless network when adjusting the wireless parameters and improve the performance of the wireless network.

[0067] Based on the above requirements, an embodiment of the present application provides a wireless parameter adjustment method. Figure 3 This is an exemplary flow chart of the wireless parameter adjustment method provided by the embodiment of the present application from the perspective of device interaction. Figure 3 As shown, the method may include the following steps:

[0068] Step 301: The network data analysis unit NWDA obtains the KPI and the data of the KPI from the network management system NMS. It should be noted that for a system without defining NWDA, a module that analyzes wireless data can be regarded as an NWDA network element.

[0069] The KPI here refers to the wireless network indicators that network operation and maintenance personnel are concerned about. It can include, but is not limited to, the wireless connection rate, which is used to reflect the success rate of UE accessing the network. Alternatively, the KPI can 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 UE maintaining continuous calls when switching between different cells. Alternatively, the KPI can also include the wireless call drop rate, which is used to indicate the proportion of UEs being abnormally released.

[0070] In a possible implementation, network elements such as CU and DU in the wireless network environment report information such as wireless parameters and parameter values ​​of each cell to the NMS, so that the NMS determines the KPI in the wireless network environment based on the wireless parameters and parameter values. For a cell, the wireless parameters may include pilot power, pilot ratio, antenna downtilt angle, antenna azimuth angle, load of the cell and neighboring cells, number of users, reference signal received power (RSRP), etc. and corresponding parameter values.

[0071] 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 a first KPI to be guaranteed and a threshold corresponding to the first KPI.

[0072] In a possible implementation, the NWDA may determine the current network scenario according to the acquired KPI, and determine the KPI data information corresponding to the current network scenario according to the correspondence between the preset network scenario and the KPI data information.

[0073] In different network scenarios, different KPI guarantee information can be pre-set based on experience values. The network scenarios here can be different geographical locations, such as urban areas, suburbs, etc. For example, the KPI guarantee information in urban areas may include a threshold of 98% for the wireless connection rate and a threshold of 98% for the switching success rate; the KPI guarantee information in suburban areas may include a threshold of 90% for the wireless connection rate and a threshold of 90% for the switching success rate, etc. Alternatively, the network scenarios may also be different network scales, such as a large number of access UEs and a small number of 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 if the number of access UEs is less than the threshold, it can be determined that there are few access UEs. For example, when the number of UEs accessed is greater than or equal to the threshold, the KPI guarantee information may include a threshold of 98% for the wireless connection rate, a threshold of 98% for the handover success rate, and a threshold of 0.1% for the wireless call drop rate; when the number of UEs accessed is less than the threshold, the KPI guarantee information may include a threshold of 95% for the wireless connection rate, a threshold of 96% for the handover success rate, and a threshold of 0.2% for the wireless call drop rate. Alternatively, the network scenario may also be different service experience requirements, such as UE call requirements or UE data connection requirements.

[0074] In another example, different network scenarios may also pre-set the same KPI guarantee information, or different network scenarios may pre-set part of the same KPI guarantee information.

[0075] In another possible implementation, the NWDA may also obtain preset KPI data information, wherein the KPI data information is predetermined based on empirical values, and this application does not make any specific limitation.

[0076] Step 303: The network data analysis unit NWDA sends the KPI data information to the centralized unit CU.

[0077] Step 304: The centralized unit CU obtains a first KPI corresponding to each cell in at least one cell in the wireless network.

[0078] In a possible implementation, the CU may send a KPI data request to the NMS. The KPI request includes an identifier of each cell in at least one cell and first KPI indication information 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.

[0079] In another possible implementation, the KPI request also includes a data time length and a data time interval. The data time length may be a KPI of a certain time length, such as a KPI of a cell within 10 seconds. The data time interval may be a KPI at a specific interval period, such as a KPI per second, a KPI per minute, a KPI per hour, etc.

[0080] For example, the KPI data request sent by CU to NMS includes cell1, cell2, and the first KPI indication information is the wireless connection rate and the switching success rate, the data time length is 5s, and the data time interval is 1s. Then NMS obtains the wireless connection rate and the switching success rate of cell1 and cell2 5s ago. Among them, the wireless connection rate and the switching success rate are per second.

[0081] Step 305: The centralized unit CU compares the first KPI of each cell with the threshold respectively to obtain the target cell for which radio parameter adjustment is required.

[0082] In a possible implementation, the CU compares the first KPI of each cell with the threshold, and takes each cell whose first KPI does not meet the threshold as a target cell. In one example, the CU may take each cell whose first KPI does not meet the threshold as a target cell that needs to adjust the wireless parameters. In another example, the CU may take each cell whose first KPI does not meet the threshold as a target cell that needs to adjust the wireless parameters.

[0083] For example, the KPI data information obtained by the CU includes a threshold of 98% for the wireless connection rate, and a wireless connection rate of 95% for cell1, a wireless connection rate of 98% for cell2, and a wireless connection rate of 98.5% for cell3. Then the CU determines that the target cell that needs to adjust the wireless parameters is cell1. For another example, the KPI data information obtained by the CU includes a threshold of 97% for the wireless connection rate, a switching success rate of 98%, and a wireless connection rate of 98% and a switching success rate of 97% for cell1, a wireless connection rate of 98% and a switching success rate of 98.5% for cell2, a wireless connection rate of 96% and a switching success rate of 96% for cell3. Then the CU can determine that cell1 and cell2 are the target cells that need to adjust the wireless parameters.

[0084] In another possible implementation, 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.

[0085] The combined cell here may be pre-stored in the CU, or may be acquired by the CU from the NWDA.

[0086] 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 of the first KPI of each cell in the combined cell.

[0087] In one 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.

[0088] For example, cell1, cell2, and cell3 are combined cells a, and cell4 and cell5 are combined cells b. The KPI data information obtained by the CU includes a threshold of 98% for the wireless connection rate and a handover success rate of 97%. The CU obtains that the wireless connection rate of cell1 is 98.3% and the handover success rate is 97%, the wireless connection rate of cell2 is 99% and the handover success rate is 96%, the wireless connection rate of cell3 is 98.7% and the handover success rate is 95%, the wireless connection rate of cell4 is 97.4% and the handover success rate is 99%, and 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% and the handover success rate is 96%, and the wireless connection rate of combined cell b is 98.3% and the handover success rate is 98%. Since the first KPI of combined cell a does not meet the threshold, the CU compares the first KPI of each cell in combined cell a with the threshold. The CU can determine that cell2 and cell3 are target cells that need to adjust wireless parameters.

[0089] Step 306: The centralized unit CU sends the identifier of the target cell to the distributed unit DU.

[0090] In one example, the CU may send the target cell identifier to the DU, and the DU adjusts the radio parameters of the target cell. In another example, the CU may send the target cell identifier and the first KPI of the target cell that does not meet the threshold to the DU.

[0091] Step 307: The distributed unit DU adjusts the radio parameters of the target cell.

[0092] In a possible implementation, when applying enhanced learning 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. The fallback operation may be a fallback preset step, such as a one-step fallback or a two-step fallback. Similarly, the forward operation may be a forward preset step, such as a one-step fallback or a two-step fallback.

[0093] For example, when adjusting wireless parameters, the agent performs action a2, and the CU obtains 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 action a2, such as making the agent perform action a1, or making the agent perform action a0.

[0094] In the embodiment of the present application, after the DU adjusts the wireless parameters of the target cell, the DU may send the adjustment result of the target cell to the CU, wherein the adjustment result may include the wireless parameters adjusted in the wireless network and the adjusted parameter values.

[0095] In a possible implementation, the CU may send the adjustment result to the NWDA. The NWDA redetermines the KPI data information based on the wireless parameters and parameter values ​​in the adjustment result. The NWDA may determine the current network scenario based on the wireless parameters and parameter values ​​in the wireless network. The KPI data information may be redetermined based on the network scenario.

[0096] In another possible implementation, the CU may send the adjustment result to the NMS. The NMS may 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, according to the wireless parameters and parameter values ​​in the wireless network, the updated wireless connection rate is 97.5%.

[0097] Combination of the above Figures 1 to 3 The wireless parameter adjustment method of the embodiment of the present application is described in detail. Figures 4 to 6 The communication device according to the embodiment of the present application is described in detail.

[0098] Figure 4 1 is a schematic diagram of the structure of a wireless parameter adjustment device provided in an embodiment of the present application, such as a schematic diagram of the structure of a base station. Figure 4 As shown, the base station can be applied to Figure 1 In the system shown, the functions of the centralized unit in the above method embodiment are performed. 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 referred to as a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, etc., and may include at least one antenna 4011 and a radio frequency unit 4012. The RRU 401 part is mainly used for receiving and transmitting radio frequency signals and converting radio frequency signals into baseband signals, for example, for sending the identifier of the Mushaoxi cell described in the above embodiment to the DU. The BBU 402 part is mainly used for baseband processing, controlling the base station, etc. The RRU 401 and the BBU 402 may be physically arranged together or physically separated, that is, a distributed base station.

[0099] The BBU 402 is the control center of the base station, which can also be called a processing unit, and is mainly used to complete baseband processing functions, such as channel coding, multiplexing, modulation, spread spectrum, etc. For example, the BBU (processing unit) 402 can be used to control the base station to execute the operation flow of the centralized unit in the above method embodiment.

[0100] In one example, the BBU 402 may be composed of one or more boards, and the multiple boards may jointly support a wireless access network with a single access indication (such as an LTE network), or may respectively support wireless access networks with different access standards (such as an LTE network, a 4G network, or other networks). The BBU 402 also 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 above embodiment. The processor 4022 is used to control the base station to perform necessary actions, such as controlling the base station to execute the operation flow of the centralized unit in the above method embodiment. The memory 4021 and the processor 4022 may serve one or more boards. In other words, a memory and a processor may be separately set on each board. It is also possible that multiple boards share the same memory and processor. In addition, necessary circuits may be set on each board.

[0101] Figure 5 1 is a schematic diagram of the structure of a wireless parameter adjustment device provided in an embodiment of the present application, such as a schematic diagram of the structure of a network device. Figure 5 As shown, the network device can be applied to Figure 1 In the system shown, the functions of the network analysis unit in the above method embodiment are performed. 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 referred to as a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, etc., and may include at least one antenna 5011 and a radio frequency unit 5012. The RRU 5011 part is mainly used for the transmission and reception of radio frequency signals and the conversion of radio frequency signals and baseband signals, for example, for sending the KPI data information described in the above embodiment to a centralized unit. The BBU 502 part is mainly used for baseband processing, controlling network equipment, etc. The RRU 501 and the BBU 502 may be physically arranged together or physically separated, that is, distributed network devices.

[0102] The BBU 502 is the control center of the network device, which can also be called a processing unit, and is mainly used to complete baseband processing functions, such as channel coding, multiplexing, modulation, spread spectrum, etc. For example, the BBU (processing unit) 502 can be used to control the network device to execute the operation flow of the network analysis unit in the above method embodiment.

[0103] In one example, the BBU 502 may be composed of one or more single boards, and the multiple single boards may jointly support a wireless access network with a single access indication (such as an LTE network), or may respectively support wireless access networks with different access standards (such as an LTE network, a 5G network, or other networks). The BBU 502 also 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 flow of the network analysis unit in the above method embodiment. The memory 5021 and the processor 5022 can serve one or more single boards. In other words, a memory and a processor may be separately set on each single board. It is also possible that multiple single boards share the same memory and processor. In addition, necessary circuits may also be set on each single board.

[0104] Figure 6 A schematic diagram of the structure of a wireless parameter adjustment device 600 is provided. The device 600 can be used to implement the method described in the above method embodiment, and the description in the above method embodiment can be referred to. The wireless parameter adjustment device 600 can be a chip, a network device (such as a base station), a terminal device or other network devices.

[0105] The wireless parameter adjustment device 600 includes one or more processors 601. The processor 601 may be a general-purpose processor or a dedicated processor, etc. For example, it may be a baseband processor or a central processing unit. The baseband processor may be used to process the communication protocol and communication data, and the central processing unit may be used to control the wireless parameter adjustment device (such as a base station, a terminal device, or a chip, etc.), execute the software program, and process the data of the software program. The wireless parameter adjustment device may include a transceiver unit to realize the input (reception) and output (transmission) of the signal. For example, the wireless parameter adjustment device may be a chip, and the transceiver unit may be the input and / or output circuit of the chip, or a communication interface. The chip may be used in a terminal device or a base station or other network device. For another example, the wireless parameter adjustment device may be a terminal device or a base station or other network device, and the transceiver unit may be a transceiver, a radio frequency chip, etc.

[0106] The wireless parameter adjustment device 600 includes one or more processors 601. The one or more processors 601 can implement Figure 2 The method of the centralized unit or network data analysis unit in the illustrated embodiment.

[0107] In one possible design, the wireless parameter adjustment device 600 includes a component (means) for obtaining key performance indicator KPI data information and for sending the identification of the target cell. The functions of obtaining the key performance indicator KPI data information and the means for sending the identification of the target cell can be implemented by one or more processors. For example, the first transmission power of the second signal can be determined by one or more processors, and the power parameter is received or the second signal is sent through the interface of the transceiver, or the input / output circuit, or the chip. The first transmission power of the second signal can refer to the relevant description in the above method embodiment.

[0108] In one possible design, the wireless parameter adjustment device 600 includes a means for obtaining a KPI and the data of the KPI from a network management system, and sending KPI data information. The KPI data and how to send the KPI data information can refer to the relevant description in the above method embodiment. For example, the power parameter can be sent through a transceiver, or an input / output circuit, or an interface of a chip.

[0109] Optionally, the processor 601 implements Figure 3 The method of the embodiment shown can also realize other functions.

[0110] Optionally, in one design, the processor 601 may execute instructions so that the wireless parameter adjustment device 600 performs the method described in the above method embodiment. The instructions may be stored in whole or in part in the processor, such as instruction 603, or may be stored in whole or in part in a memory 602 coupled to the processor, such as instruction 604, or instructions 603 and 604 may be used together to enable the wireless parameter adjustment device 600 to perform the method described in the above method embodiment.

[0111] In yet another possible design, the wireless parameter adjustment device 600 may also include a circuit, which may implement the functions of the centralized unit or the network data analysis unit in the aforementioned method embodiment.

[0112] 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 can be executed on the processor, so that the wireless parameter adjustment device 600 performs the method described in the above method embodiment. Optionally, data can also be stored in the memory. Instructions and / or data can also be stored in the optional processor. For example, the one or more memories 602 can store the KPI data described in the above embodiment, or the KPI data involved in the above embodiment can be stored. The processor and memory can be set separately or integrated together.

[0113] 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, which controls the wireless parameter adjustment device (centralized unit or network data analysis unit). The transceiver unit 605 may be referred to as a transceiver, a transceiver circuit, or a transceiver, etc., which is used to implement the transceiver function of the wireless parameter adjustment device through the antenna 606.

[0114] The present application also provides a wireless parameter adjustment system, which includes one or more centralized units mentioned above, and one or more network data analysis units.

[0115] It should be noted that the processor in the embodiment of the present application can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method embodiment can be completed by the hardware integrated logic circuit or software instructions in the processor. The above processor can be a general processor, a digital signal processor (DigitalSignal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor are combined and performed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0116] It can be understood that the memory in the embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0117] An embodiment of the present application further provides a computer-readable medium on which a computer program is stored. When the computer program is executed by a computer, the wireless parameter adjustment method described in any of the above method embodiments is implemented.

[0118] An embodiment of the present application also provides a computer program product, which, when executed by a computer, implements the wireless parameter adjustment method described in any of the above method embodiments.

[0119] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can 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 can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, data center, etc. that contains one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0120] An embodiment of the present application also provides a processing device, including a processor and an interface; the processor is used to execute the wireless parameter adjustment method described in any of the above method embodiments.

[0121] It should be understood that the above-mentioned processing device can be a chip, and the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor, which is implemented by reading the software code stored in the memory. The memory can be integrated in the processor or can be located outside the processor and exist independently.

[0122] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does 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 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 constitute any limitation on the implementation process of the embodiment of the present application.

[0123] In addition, the terms "system" and "network" are often used interchangeably in this article. The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0124] It should be understood that in the embodiment 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 according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0125] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0126] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0127] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0128] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0129] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0130] Through the description of the above embodiments, it is clear to the technicians in the related field that the present application can be implemented by hardware, firmware, or a combination thereof. When software is used for implementation, the above functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein the communication media include any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. Take this as an example but not limited to: the computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer. In addition. Any connection can be appropriately a computer-readable medium. For example, if the software is transmitted from a website, a server or other remote source using a coaxial cable, an optical fiber cable, a twisted pair, a digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, then the coaxial cable, optical fiber cable, twisted pair, DSL, or wireless technologies such as infrared, wireless, and microwaves are included in the fixing of the medium. As used in this application, disk and disc include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blue-ray disc, wherein disk usually reproduces data magnetically, while disc uses laser to reproduce data optically. The above combinations should also be included in the scope of protection of computer-readable media.

[0131] In short, the above is only a preferred embodiment of the technical solution of this application, and is not intended to limit the protection scope of this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application should be included in the protection scope of this application.

Claims

1. A wireless parameter adjustment method, characterized in that: include: The centralized unit obtains key performance indicator KPI data information; The KPI data information includes a first KPI to be guaranteed and a threshold corresponding to the first KPI; The centralized unit obtains a 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 for which wireless parameter adjustment is required; The centralized unit sends the identifier of the target cell to the distributed unit, and the identifier of the target cell is used by the distributed unit to adjust the wireless parameters of the target cell.

2. The method according to claim 1, characterized in that: The centralized unit obtains a first KPI corresponding to each cell in at least one cell in the wireless network, including: The centralized unit sends a KPI data request to the network management system; the KPI data request includes an identifier of each cell in at least one cell and first KPI indication information to be obtained; The centralized unit receives the first KPI corresponding to each cell respectively sent by the network management system.

3. The method according to claim 1, characterized in that Before the centralized unit compares the first KPI of each cell with the threshold respectively to obtain the target cell for which the radio parameter adjustment is required, the method further includes: 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.

4. The method according to any one of claims 1 to 3, characterized in that: After the centralized unit sends the identifier of the target cell to the distributed unit, the method further includes: The centralized unit receives an adjustment result of the target cell adjusted by the distributed unit; the adjustment result includes a wireless parameter adjusted in the wireless network and an 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 sends the adjustment result to the network management system so that the network management system updates the first KPI in the wireless network.

5. The method according to any one of claims 1 to 3, characterized in that: The centralized unit obtains the KPI data information, including: The centralized unit obtains the KPI data information from the network data analysis unit.

6. A wireless parameter adjustment method, characterized in that: include: The network data analysis unit obtains the KPI and the data of the KPI from the network management system; The network data analysis unit determines KPI data information according to the KPI and the data of the KPI; the KPI data information includes a first KPI to be guaranteed and a threshold corresponding to the first KPI; or the network data analysis unit obtains preset KPI data information; The network data analysis unit sends the KPI data information to the centralized unit, and the KPI data information is used by the centralized unit to determine a target cell that needs to perform wireless parameter adjustment.

7. The method according to claim 6, characterized in that The network data analysis unit determines KPI data information according to the KPI and the KPI data, including: The network data analysis unit determines the KPI data information corresponding to the current network scenario according to the correspondence between the preset network scenario and the KPI data information.

8. The method according to any one of claims 6-7, characterized in that: 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 parameters in the wireless network and the adjusted parameter values; The network data unit re-determines the KPI data information according to the adjustment result.

9. A wireless parameter adjustment device, characterized in that: include: An acquisition unit, used to acquire key performance indicator KPI data information; The KPI data information includes a first KPI to be guaranteed and a threshold corresponding to the first KPI; and obtaining a first KPI corresponding to each cell in at least one cell in the wireless network; A processing unit, configured to compare the first KPI of each cell with the threshold respectively, to obtain a target cell for which wireless parameter adjustment is required; The transceiver unit is used to send the identifier of the target cell to the distributed unit, and the identifier of the target cell is used by the distributed unit to adjust the wireless parameters of the target cell.

10. The wireless parameter adjustment device according to claim 9, characterized in that: The transceiver unit is also used for: Sending a KPI data request to a network management system; the KPI data request includes an identifier of each cell in at least one cell and first KPI indication information to be obtained; Receive the first KPI corresponding to each cell sent by the network management system.

11. The wireless parameter adjustment device according to claim 9, characterized in that: The processing unit is also used for: Before comparing the first KPI of each cell with the threshold to obtain the target cell requiring wireless parameter adjustment, if at least two cells in the at least one cell can be combined into a combined cell, the wireless parameter adjustment device determines that the first KPI of the combined cell does not meet the threshold.

12. The wireless parameter adjustment device according to any one of claims 9 to 11, characterized in that: The transceiver unit is also used for: After sending the identifier of the target cell to the distributed unit, receiving the adjustment result of the distributed unit adjusting the target cell; the adjustment result includes the adjusted wireless parameters in the wireless network and the adjusted parameter values; 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 a network management system, so that the network management system updates the first KPI in the wireless network.

13. The wireless parameter adjustment device according to any one of claims 9 to 11, characterized in that: The acquisition unit is also used for: The KPI data information is obtained from a network data analysis unit.

14. A wireless parameter adjustment device, characterized in that: include: An acquisition unit, used for acquiring the KPI and the data of the KPI from the network management system; A processing unit, configured to determine KPI data information according to the KPI and the KPI data; The KPI data information includes a first KPI to be guaranteed and a threshold corresponding to the first KPI; or, the processing unit obtains preset KPI data information; The transceiver unit is used to send the KPI data information to the centralized unit, and the KPI data information is used by the centralized unit to determine the target cell that needs to adjust the wireless parameters.

15. The wireless parameter adjustment device according to claim 14, characterized in that: The processing unit is also used for: According to the correspondence between the preset network scenario and the KPI data information, the KPI data information corresponding to the current network scenario is determined.

16. The wireless parameter adjustment device according to any one of claims 14-15, characterized in that: The transceiver unit is also used for: 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 parameters in the wireless network and the adjusted parameter values; The processing unit is further configured to re-determine the KPI data information according to the adjustment result.

17. A wireless parameter adjustment method, characterized in that: include: The network data analysis unit obtains the key performance indicator KPI and the data of the KPI from the network management system; The network data analysis unit determines KPI data information according to the KPI and the data of the KPI; the KPI data information includes a first KPI to be guaranteed and a threshold corresponding to the first KPI; or the network data analysis unit obtains preset KPI data information; The network data analysis unit sends the KPI data information to a centralized unit; The centralized unit obtains a 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 for which wireless parameter adjustment is required; The centralized unit sends the identifier of the target cell to the distributed unit.

18. A wireless parameter adjustment system, characterized in that: include: Network data analysis units and centralized units; The network data analysis unit is used to obtain key performance indicators KPI and data of the KPI from the network management system; The network data analysis unit is further configured to determine KPI data information according to the KPI and the data of the KPI; the KPI data information includes a first KPI to be guaranteed and a threshold corresponding to the first KPI; or the network data analysis unit obtains preset KPI data information; The network data analysis unit is further used to send the KPI data information to the centralized unit; The centralized unit is used to obtain a first KPI corresponding to each cell in at least one cell in the wireless network; The centralized unit is further configured to compare the first KPI of each cell with the threshold to obtain a target cell for which wireless parameter adjustment is required; The centralized unit is further configured to send the identifier of the target cell to the distributed unit.

19. A wireless parameter adjustment device, characterized in that: include: A processor and a transceiver, wherein the processor is used to implement communication through the transceiver and execute the method according to any one of claims 1 to 5, or execute the method according to any one of claims 6 to 8, or execute the method according to claim 17.

20. A wireless parameter adjustment device, characterized in that: It includes a processor and a memory, wherein the memory is used to store computer-executable instructions. When the processor executes the computer-executable instructions, the device executes the method as claimed in any one of claims 1 to 5, or the device executes the method as claimed in any one of claims 6 to 8, or the device executes the method as claimed in claim 17.

21. A storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed, the processor performs the method according to any one of claims 1-8 or 17.

22. A chip, characterized in that: The chip is coupled to the memory and is used to read and execute program instructions stored in the memory to implement the method according to any one of claims 1 to 5, or to implement the method according to any one of claims 6 to 8, or to implement the method according to claim 17.

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