CN114982268A - Wireless parameter adjusting method and device - Google Patents

Wireless parameter adjusting method and device Download PDF

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Publication number
CN114982268A
CN114982268A CN202080094072.0A CN202080094072A CN114982268A CN 114982268 A CN114982268 A CN 114982268A CN 202080094072 A CN202080094072 A CN 202080094072A CN 114982268 A CN114982268 A CN 114982268A
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kpi
network
cell
unit
wireless
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周伟
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic

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Abstract

The application provides a wireless parameter adjusting method and device, relates to the technical field of wireless communication, and aims to improve the performance of a wireless network and guarantee KPI in the wireless network. The method comprises the steps that a centralized unit obtains key performance indicator KPI data information; the KPI data information comprises a first KPI to be guaranteed and a threshold corresponding to the first KPI; a centralized unit acquires 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 a threshold respectively to obtain a target cell needing wireless parameter adjustment; the centralized unit sends the identity of the target cell to the distributed unit. Based on the scheme, the first KPI needing to be guaranteed can be obtained when the wireless parameters are adjusted, and the target cell which does not meet the threshold of the first KPI can be determined, so that the purpose of guaranteeing the first KPI in the wireless network is achieved.

Description

Wireless parameter adjusting method and device Technical Field
The present application relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for adjusting wireless parameters.
Background
In the radio parameter adjustment scheme, different performance optimization schemes for adjusting radio parameters are generally designed with a specific Key Performance Indicator (KPI) as a target. For example, a pilot power adjustment scheme, a handover parameter optimization scheme, a voice over long-term evolution (VOLTE) optimization parameter scheme, an energy saving scheme, and the like in the prior art. However, the above-mentioned several radio parameter adjustment schemes can only guarantee specific KPIs in the wireless network.
In the third generation partnership project (3) rd generation partial nershirp project, 3GPP) introduces network data analysis (NWDA) network elements, and defines the policy related to parameter analysis in the wireless network. However, no relevant method for guaranteeing KPIs in wireless networks is currently available in 3GPP protocols.
Therefore, in the current wireless parameter adjustment scheme, a wireless parameter adjustment method for guaranteeing the KPI in the wireless network is needed, which can effectively guarantee the total KPI of the wireless network during the adjustment of the wireless parameters and improve the wireless performance.
Disclosure of Invention
The application provides a wireless parameter adjusting method and device, which are used for improving the performance of a wireless network and ensuring KPIs in the wireless network.
In a first aspect, an embodiment of the present application provides a method for adjusting a wireless parameter, including: a centralized unit acquires key performance index KPI data information; the KPI data information comprises a first KPI to be ensured and a threshold corresponding to the first KPI; the centralized unit acquires 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 respectively to obtain a target cell needing wireless parameter adjustment; the centralized unit sends the identification of the target cell to a distributed unit.
Based on the scheme, the first KPI needing to be guaranteed can be obtained when the wireless parameters are adjusted, and the target cell which does not meet the threshold of the first KPI can be determined, so that the purpose of guaranteeing the first KPI in the wireless network is achieved, and the KPI in the wireless network cannot be deteriorated.
In a possible implementation manner, the acquiring, by the centralized unit, a first KPI corresponding to each cell in at least one cell in a wireless network includes: the centralized unit sends a KPI data request to a network management system; the KPI data request comprises an identifier of each cell in at least one cell and first KPI indication information required to be acquired; and the centralized unit receives first KPIs respectively corresponding to each cell sent by the network management system.
Based on the scheme, the centralized unit can perform information interaction with the network management system, and acquires the KPI data of the cell from the network management system so as to guarantee KPI in the wireless network.
In a possible implementation manner, before the comparing, by the centralized unit, the first KPI of each cell with the threshold respectively to obtain a target cell that needs to be adjusted by radio parameters, the method further includes: if there are at least two cells that can be combined into one combined cell in the at least one cell, the centralized unit determines that the first KPI of the combined cell does not satisfy the threshold.
Based on the scheme, when determining whether the first KPI of each cell satisfies the threshold, it may be predetermined whether the first KPI of the combined cell satisfies the threshold. And when the first KPI of the combined cell does not meet the threshold, determining whether the first KPI of each cell meets the threshold, so that the calculation amount can be reduced, and the KPIs in the wireless network can be guaranteed according to the level from the combined cell to each cell.
In a possible implementation manner, 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 distributed unit for adjusting the target cell; the adjustment result comprises wireless parameters adjusted in the wireless network and the adjusted parameter values; the centralized unit sends the adjustment result to a 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 a network management system so that the network management system updates the first KPI in the wireless network.
Based on the scheme, 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 KPI data information according to the adjusted wireless parameters to dynamically guarantee KPI in the wireless network, so that the wireless parameter adjustment method provided by the embodiment of the application is closer to the use scene. 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 acquiring, by the centralized unit, the KPI data information includes: the centralized unit obtains the KPI data information from a network data analysis unit.
Based on the scheme, the centralized unit can perform information interaction with the network data analysis unit and acquire KPI data information from the network data analysis unit, so that the centralized unit can guarantee KPI in the wireless network according to the KPI data information indicated by the network data analysis unit.
In a second aspect, an embodiment of the present application provides another method for adjusting a wireless parameter, including: a network data analysis unit acquires KPI and KPI data from a network management system; the network data analysis unit determines KPI data information according to the KPI and the KPI data; the KPI data information comprises a first KPI to be ensured and a threshold corresponding to the first KPI; or, the network analysis unit acquires preset KPI data information; and the network data analysis unit sends the KPI data information to a centralized unit.
Based on the scheme, the network data analysis unit can determine KPI data information in the current wireless network according to KPI and KPI data in the wireless network, so that the centralized unit can guarantee KPI in the wireless network according to the determined KPI data information.
In a possible implementation manner, the determining, by the network data analysis unit, KPI data information according to the KPI and the KPI data includes: and the network analysis unit determines the KPI data information corresponding to the current network scene according to the corresponding relation between the preset network scene and the KPI data information.
Based on the scheme, the network data analysis unit can determine different KPI data information according to different network scenes, so that the wireless parameter adjustment method in the embodiment of the application is more suitable for each network scene.
In a possible implementation manner, after the network data analysis unit sends the KPI data information to a centralized unit, the method further includes: the network data analysis unit receives the adjustment result sent by the centralized unit; the adjustment result comprises wireless parameters adjusted in the wireless network and the adjusted parameter values; and the network data unit determines KPI data information again according to the adjustment result.
Based on the scheme, the network data analysis unit can adjust KPI data information according to the adjusted wireless parameters, so that the aim of dynamically guaranteeing KPI in the wireless network is fulfilled, and the wireless parameter adjustment method provided by the embodiment of the application is closer to a use scene.
In a third aspect, an embodiment of the present application provides a wireless parameter adjustment device, which may be configured to perform operations in the first aspect and any possible implementation manner of the first aspect. For example, the terminal device may comprise means or unit for performing the respective operations in the first aspect or any possible implementation manner of the first aspect. For example comprising a processing unit and a transceiver unit.
In a fourth aspect, an embodiment of the present application further provides a wireless parameter adjustment device, where the wireless parameter adjustment device may be configured to perform operations in the second aspect and any possible implementation manner of the second aspect. For example, the wireless parameter adjustment device may comprise means or units for performing the respective operations in the second aspect or any possible implementation manner of the second aspect. For example comprising a second processing unit and a second transceiver unit.
In a fifth aspect, an embodiment of the present application further provides a wireless parameter adjustment system, which includes the wireless parameter adjustment device of the third aspect and the wireless parameter adjustment device of the fourth aspect.
In a sixth aspect, an embodiment of the present application provides a chip system, which includes a processor, and optionally further includes a memory; the memory is used for storing a computer program, and the processor is used for calling and running the computer program from the memory, so that the communication device with the chip system installed thereon executes any method in the first aspect or any possible implementation manner of the first aspect; and/or cause a communication device in which the system-on-chip is installed to perform any of the methods of the second aspect or any possible implementation of the second aspect described above.
In a seventh aspect, an embodiment of the present application provides a computer program product, where the computer program product includes: computer program code for causing a communication device to perform any of the above-mentioned first aspect or any of its possible implementation forms, when the computer program code is run by a transceiver unit, a processing unit or a transceiver, a processor of the communication device; and/or cause a communication device in which the system-on-chip is installed to perform any of the methods of the second aspect or any possible implementation of the second aspect described above.
In an eighth aspect, embodiments of the present application provide a computer-readable storage medium, where a program is stored, and the program causes a communication device (e.g., a wireless parameter adjustment device) to perform any one of the methods of the first aspect or any possible implementation manner of the first aspect; and/or cause a communication device (e.g., a wireless parameter adjustment device) having a system-on-chip installed to perform any of the methods of the second aspect or any possible implementation manner of the second aspect.
It should be understood that any one of the above-mentioned third to eighth aspects may achieve the same technical effects as the corresponding or same design of the above-mentioned first and second aspects, and will not be described in detail here.
Drawings
Fig. 1 is a communication system provided herein;
FIG. 2 is a network architecture of a CU, according to the present disclosure;
fig. 3 is a flowchart of a method for adjusting wireless parameters according to the present application;
FIG. 4 is a schematic diagram of a wireless parameter adjustment apparatus provided herein;
FIG. 5 is a schematic diagram of a wireless parameter adjustment apparatus provided in the present application;
fig. 6 is a wireless parameter adjustment apparatus provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail with reference to the accompanying drawings. The particular methods of operation in the method embodiments may also be applied in device embodiments or system embodiments.
The technical scheme of the embodiment of the application can be applied to various communication systems, for example: long Term Evolution (LTE) systems, Worldwide Interoperability for Microwave Access (WiMAX) communication systems, future fifth Generation (5th Generation, 5G) systems, such as new radio access technology (NR), and future communication systems, such as 6G systems.
This application is intended to present various aspects, embodiments, or features around a system that may include a number of devices, components, modules, and the like. It is to be understood and appreciated that the various systems may include additional devices, components, modules, etc. and/or may not include all of the devices, components, modules etc. discussed in connection with the figures. Furthermore, a combination of these schemes may also be used.
In addition, in the embodiments of the present application, the word "exemplary" is used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the word using examples is intended to present concepts in a concrete fashion.
In the embodiment of the present application, information (information), signal (signal), message (message), channel (channel) may be mixed, and it should be noted that the intended meanings are consistent when the differences are not emphasized. "of", "corresponding", "canceling" and "corresponding" may sometimes be used in combination, and it should be noted that the intended meaning is consistent when differences are not emphasized.
The network architecture and the service scenario described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not form a limitation on the technical solution provided in the embodiment of the present application, and as a person of ordinary skill in the art knows that along with the evolution of the network architecture and the appearance of a new service scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.
The embodiment of the application can be applied to a traditional typical network, and can also be applied to a future UE-centric (UE-centric) network. A UE-centric network introduces a network architecture without a cell (Non-cell), that is, a large number of small stations are deployed in a certain area to form a super cell (super cell), each small station is a Transmission Point (TP) or a Transmission and Reception Point (TRP) of the super cell, and is connected to a centralized controller (controller). When the UE moves in the Hyper cell, the network side equipment selects a new sub-cluster for the UE to serve, thereby avoiding real cell switching and realizing the continuity of UE service. The network side device comprises a wireless network device. Or, in a network with UE as the center, multiple network side devices, such as small stations, may have independent controllers, such as distributed controllers, each small station can independently schedule users, and there is interactive information between small stations over a long term, so that there is also a certain flexibility when providing cooperative service for UE.
In the embodiment 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. Since before the base station is deployed, the base station does not know whether the base station relates to a 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 the base station is deployed. It is to be understood that the aforementioned base stations with different identities may be base station identities, cell identities, or other identities.
Some scenarios in the embodiment of the present application are described by taking a scenario of an NR network in a wireless communication network as an example, it should be noted that the scheme in the embodiment of the present application may also be applied to other wireless communication networks, and corresponding names may also be replaced by names of corresponding functions in other wireless communication networks.
For the convenience of understanding the embodiments of the present application, a communication system applicable to the embodiments of the present application will be first described in detail by taking the communication system shown in fig. 1 as an example. 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, where 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 the network device 104, and the network device 104 may also be configured with multiple antennas.
It should be understood that network device 102 or network device 104 may also include a number of components associated with signal transmission and reception (e.g., processors, modulators, multiplexers, demodulators, demultiplexers, etc.).
The network device is a device with a wireless transceiving function or a chip that can be set in the device, and 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 (e.g., home evolved Node B, or home Node B, HNB), baseband unit (BBU), wireless fidelity (WIFI) system Access Point (AP), wireless relay Node, wireless backhaul Node, transmission point (TRP or transmission point, TP), etc., and may also be 5G, such as NR, a gbb in the system, or a transmission point (TRP or TP), a set (including multiple antennas) of a base station in the 5G system, or a panel of a base station (including multiple antennas, or a BBU) in the 5G system, or, Distributed Units (DUs), etc.
In some deployments, the gNB may include a Centralized Unit (CU) and a DU. The gNB may further include a Radio Unit (RU). The CU implements part of the function of the gNB, and the DU implements part of the function of the gNB, for example, the CU implements Radio Resource Control (RRC) and Packet Data Convergence Protocol (PDCP) layers, and the DU implements Radio Link Control (RLC), Medium Access Control (MAC) and Physical (PHY) layers. Since the information of the RRC layer is eventually converted into or from the information of the PHY layer, the higher layer signaling, such as RRC layer signaling or PDCP layer signaling, can also be considered to be sent by the DU or the DU + CU under this architecture. It is to 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 may be divided into network devices in the access network RAN, or may be divided into network devices in the core network CN, which is not limited herein.
The RAN equipment can realize the functions of protocol layers such as RRC, PDCP, RLC, MAC and the like by one node; or the functions of these protocol layers may be implemented by multiple nodes; for example, in an evolved structure, the RAN device may include a CU and a DU, and a plurality of DUs may be centrally controlled by one CU. The CU and the DU may be divided according to protocol layers of the radio network, for example, functions of a PDCP layer and above protocol layers are provided in the CU, and functions of protocol layers below the PDCP layer, for example, functions of an RLC layer and a MAC layer, are provided in the DU.
This division of the protocol layers is only an example, and it is also possible to divide the protocol layers at other protocol layers, for example, at the RLC layer, and the functions of the RLC layer and the protocol layers above are set in the CU, and the functions of the protocol layers below the RLC layer are set in the DU; alternatively, the functions may be divided into some protocol layers, for example, a partial function of the RLC layer and a function of a protocol layer above the RLC layer may be provided in the CU, and the remaining function of the RLC layer and a function of a protocol layer below the RLC layer may be provided in the DU. In addition, the processing time may be divided in other manners, for example, by time delay, a function that needs to satisfy the time delay requirement for processing is provided in the DU, and a function that does not need to satisfy the time delay requirement is provided in the CU.
In addition, the radio frequency device may be pulled away, not placed in the DU, or integrated in the DU, or partially pulled away and partially integrated in the DU, which is not limited herein.
Referring to the network architecture shown in fig. 2, the Control Plane (CP) and the User Plane (UP) of a CU may also be implemented separately and separated into different entities, respectively a control plane CU entity (CU-CP entity) and a user plane CU entity (CU-UP entity).
In the above network architecture, the signaling generated by the CU may be sent to the terminal device through the DU, or the signaling generated by the terminal device may be sent to the CU through the DU. The DU may pass through the protocol layer encapsulation directly to the terminal device or CU without parsing the signaling. In the following embodiments, if transmission of such signaling between the DU and the terminal device is involved, in this case, the transmission or reception of the signaling by the DU includes such a scenario. For example, the signaling of the RRC or PDCP layer is finally processed as the signaling of the PHY layer to be sent to the terminal device, or is converted from the received signaling of the PHY layer. Under this architecture, the signaling of the RRC or PDCP layer can also be considered as being sent by the DU, or sent by the DU and the radio bearer.
In the above embodiment, the CU may be divided into the network devices on the RAN side, and the CU may also be divided into the network devices on the CN side, which is not limited herein.
The apparatus in the following embodiments of the present application may be located in a terminal device or a network device according to the functions implemented by the apparatus. When the above structure of CU-DU is adopted, the network device may be a CU node, or a DU node, or a RAN device including the CU node and the DU node.
A terminal device may also be referred to as a User Equipment (UE), an access terminal device, a subscriber unit, a subscriber station, a mobile station, a remote terminal device, a mobile device, a user terminal device, a wireless communication device, a user agent, or a user equipment. 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 transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal device in industrial control (industrial control), a wireless terminal device in self driving (self driving), a wireless terminal device in remote medical (remote medical), a wireless terminal device in smart grid (smart grid), a wireless terminal device in transportation safety, a wireless terminal device in city (city), a wireless terminal device in smart home (smart home), and the like. The embodiments of the present application do not limit the application scenarios. In the present application, a terminal device having a wireless transceiving function and a chip that can be installed in the terminal device are collectively referred to as a terminal device.
In the communication system 100, the network device 102 and the network device 104 may each communicate with a plurality of terminal devices (e.g., the terminal device 106 shown in the figure). Network device 102 and network device 104 may communicate with one or more terminal devices similar to terminal device 106. It should be understood that the terminal device communicating with network device 102 and the terminal device communicating with network device 104 may be the same or different. The terminal device 106 shown in fig. 1 may communicate with both the network device 102 and the network device 104, but this only illustrates one possible scenario, and in some scenarios, the terminal device may only communicate with the network device 102 or the network device 104, which is not limited in this application.
It should be understood that fig. 1 is a simplified schematic diagram of an example for ease of understanding only, and that other network devices or other terminal devices may also be included in the communication system, which are not shown in fig. 1.
In a wireless network environment, when optimizing network KPIs, wireless parameters of a cell need to be continuously adjusted to obtain optimal wireless network performance. In the embodiment of the application, the reinforcement learning is applied to the wireless network parameter adjusting scheme. Reinforcement learning is the act of an agent (agent) taking a series of actions in an environment to get the maximum cumulative return. Because reinforcement learning has no direct guiding information, the intelligent agent needs to continuously interact with the environment, and the optimal strategy is obtained through various trying ways. By reinforcement learning, an agent can know what actions should be taken in what states. The reinforcement learning process is explained in detail below.
An reinforcement learning process typically includes the following three tuples:
s: represents a set of states (state) with s i ∈S,s i Indicating the state of the ith step;
a: represents a set of actions (actions) having a i ∈A,a i An action representing the ith step;
r: s × A → R, R is a reward function (reward function). If one group(s) 1 ,a 1 ) Move to the next state s 2 Then the reward function can be denoted as r(s) 2 |s 1 ,a 1 ). If(s) 1 ,a 1 ) Corresponding next state s 2 Is unique, then the reward function can also be denoted as r(s) 1 ,a 1 )。
The process of reinforcement learning can be represented as a markov decision process: an agent has an initial state s 0 Then pick an action a from A 0 Execution, post-execution Environment (Environment) transfer to the next s 1 State, then performs an action a 1 The environment is transferred to s 2 And so on.
There are many parameters in Radio Resource Management (RRM) and not few are default and fixed, and the default parameter setting is not optimal for each cell and cannot maximize the wireless network efficiency. For example, changes in the user's mobility and traffic patterns also require changes in the radio parameters. Therefore, the aforementioned reinforcement learning can be used for the adjustment of the wireless parameters to find the optimal wireless parameters. For example, reinforcement learning may be applied to a plurality of wireless functions such as pilot adjustment, antenna tilt and azimuth adjustment.
The state set, action and reward functions required by the wireless network can be predefined in the design stage, and the defined algorithm is used for wireless parameter adjustment. However, this approach is not flexible enough to modify and adjust the algorithm and does not give the state set, actions and reward functions that are most suitable for the system. On the other hand, the wireless network has strict requirements on KPI, and the KPI cannot be greatly reduced in the parameter adjustment process. Therefore, it is often also necessary to introduce KPI assurance policies. In the prior art, different performance optimization schemes for adjusting wireless parameters are generally designed with specific KPIs as targets. However, such a radio parameter adjustment scheme can guarantee a specific KPI in a wireless network only in a specific scheme. In addition, a parameter analysis related policy in a wireless network is defined in the 3GPP protocol. However, no relevant method for guaranteeing KPIs in wireless networks is currently available in 3GPP protocols.
Therefore, a wireless parameter adjustment method for guaranteeing the KPIs in the wireless network is needed, which can effectively guarantee the total KPIs of the wireless network during the adjustment of the wireless parameters and improve the performance of the wireless network.
Based on the above requirements, an embodiment of the present application provides a method for adjusting wireless parameters. Fig. 3 is an exemplary flowchart of a wireless parameter adjustment method provided in an embodiment of the present application, which is shown from the perspective of device interaction. As shown in fig. 3, the method may include the steps of:
step 301: the network data analysis unit NWDA obtains KPIs and data of said KPIs from the network management system NMS. It should be noted that, for a system without NWDA definition, a module with analysis on wireless data may be regarded as an NWDA network element.
The KPI is a wireless network index concerned by network operation and maintenance personnel. May include, but is not limited to, radio access rates that reflect the success rate of the UE accessing the network. Alternatively, the KPI may also include a handover success rate, which is a very important function of the mobile communication system, and the handover success rate is used to identify a success rate of the UE for maintaining continuous call when the UE is handed over from different cells. Alternatively, the KPI may further include a radio call drop rate, which is used to indicate a proportion of the UE that is abnormally released.
In one possible implementation manner, network elements such as CUs and DUs 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 KPIs in the wireless network environment according to the information such as the wireless parameters and parameter values. For a cell, the wireless parameters may include pilot power, pilot ratio, antenna downtilt, antenna azimuth, load of the cell and neighboring cells, number of users, Reference Signal Received Power (RSRP), and the like, and corresponding parameter values.
Step 302: and the network data analysis unit NWDA determines KPI data information according to the KPI and the KPI data. The KPI data information may include a first KPI that needs to be guaranteed and a threshold corresponding to the first KPI.
In one possible implementation, the NWDA may determine the current network scenario according to the obtained KPI. And determining KPI data information corresponding to the current network scene according to the corresponding relation between the preset network scene and the KPI data information.
Under different network scenes, different KPI guarantee information can be preset according to experience values. The network scenario here may be a different geographical location, such as an urban area, a suburban area, etc. For example, the KPI guarantee information of an urban area may include a threshold of a radio access rate of 98% and a threshold of a handover success rate of 98%; the KPI guarantee information of the suburbs may include that the threshold of the wireless access rate is 90%, the threshold of the handover success rate is 90%, and the like. Or, the network scenario may be of different network sizes, such as many access UEs, fewer access UEs, and the like. The number of the accessed UEs may be determined by a preset threshold, for example, if the number of the accessed UEs is greater than or equal to the threshold, it may be determined that there are many accessed UEs, and if the number of the accessed UEs is less than the threshold, it may be determined that there are few accessed UEs. For example, when the UE is greater than or equal to the threshold, the KPI guarantee information may include that the threshold of the radio access rate is 98%, the threshold of the handover success rate is 98%, and the threshold of the radio drop call rate is 0.1%; when the accessed UE is smaller than the threshold, the KPI guarantee information may include that the threshold of the radio access rate is 95%, the threshold of the handover success rate is 96%, and the threshold of the radio drop-call rate is 0.2%. Or, the network scenario may also be different service experience requirements, such as a requirement that the UE is a call, or a requirement that the UE is a data connection, and the like.
In another example, different network scenarios may also preset the same KPI safeguard information, or different network scenarios may preset partially the same KPI safeguard information.
In another possible implementation, the NWDA may further obtain preset KPI data information. The KPI data information is predetermined according to an empirical value, and is not specifically limited in the present application.
Step 303: and the network data analysis unit NWDA sends the KPI data information to a centralized unit CU.
Step 304: the centralized unit CU acquires a first KPI corresponding to each cell in at least one cell in a wireless network.
In one possible implementation, a CU may send a KPI data request to the NMS. The KPI request comprises an identifier of each cell in at least one cell and first KPI indication information required to be acquired. 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, the KPI request further includes a data time length and a data time interval. The data time duration may be a KPI of a certain time duration, for example, a KPI of a cell within 10 s. The data time interval may be a KPI at a particular interval period, such as may be a KPI per second, a KPI per minute, an KPI per hour, and so forth.
For example, the KPI data request sent by the CU to the NMS includes cell1, cell2, and the first KPI indication information is radio access rate and handover success rate, data time length is 5s, and data time interval is 1 s. The NMS obtains the radio access rate and handover success rate of cell1 and cell2 up to 5 s. Wherein, the wireless access rate and the switching success rate are all per second.
Step 305: and the centralized unit CU compares the first KPI of each cell with the threshold respectively to obtain a target cell needing to be subjected to wireless parameter adjustment.
In a possible implementation manner, the CU compares the first KPI of each cell with a threshold, and takes each cell whose first KPI does not satisfy the threshold as a target cell. In an example, the CU may use each cell in which all the first KPIs do not satisfy the threshold as a target cell for performing radio parameter adjustment. In another example, the CU may take each cell for which part of the first KPI does not satisfy the threshold as a target cell for which radio parameter adjustment is required.
For example, the KPI data information acquired by the CU includes that the threshold of the radio access rate is 98%, the radio access rate acquired by the cell1 is 95%, the radio access rate acquired by the cell2 is 98%, and the radio access rate acquired by the cell3 is 98.5%. The CU determines that the target cell for which the radio parameter adjustment is required is cell 1. For another example, the KPI data information acquired by the CU includes that the threshold of the radio access rate is 97%, the handover success rate is 98%, the radio access rate acquired by the cell1 is 98%, the handover success rate is 97%, the radio access rate of the cell2 is 98%, the handover success rate is 98.5%, the radio access rate of the cell3 is 96%, and the handover success rate is 96%, so that the CU may determine that the cell1 and the cell2 are target cells requiring radio parameter adjustment.
In another possible implementation manner, if there are at least two cells that can be combined into one combined cell in at least one cell, the CU determines whether the first KPI of the combined cell satisfies the threshold according to the threshold of the first KPI. If the first KPI of the combined cell does not satisfy the threshold, the CU determines whether the first KPI of each cell in the combined cell satisfies the threshold. The CU uses each cell which does not satisfy the threshold as a target cell.
The combined cell may be pre-stored in the CU, or may be acquired 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 an average of the first KPIs 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 satisfies the threshold when all first KPIs of the combined cell do not satisfy the threshold. In another example, the CU may determine whether the first KPI of each of the combined cells satisfies the threshold when a portion of the first KPIs of the combined cells do not satisfy the threshold.
For example, cell1 and cell2 and cell3 are combined cell a, and cell4 and cell5 are combined cell b. The KPI data information acquired by the CU comprises that the threshold of the wireless connection rate is 98% and the switching success rate is 97%. The wireless access rate of the CU for obtaining the cell1 is 98.3%, the switching success rate is 97%, the wireless access rate of the cell2 is 99%, the switching success rate is 96%, the wireless access rate of the cell3 is 98.7%, the switching success rate is 95%, the wireless access rate of the cell4 is 97.4%, the switching success rate is 99%, the wireless access rate of the cell5 is 99.2%, and the switching success rate is 97%. The CU determines that the radio access rate of the combined cell a is 98.6%, the handover success rate is 96%, the radio access rate of the combined cell b is 98.3%, and the handover success rate is 98%. Since the first KPI of combined cell a does not satisfy the threshold, the CU compares the first KPI of each cell in combined cell a with the threshold. The CU may determine that cell2 and cell3 are target cells for which radio parameter adjustment is required.
Step 306: the centralized unit CU sends the identity of the target cell to the distributed unit DU.
In an example, a CU may send an identity of a target cell to a DU, which adjusts radio parameters of the target cell. In another example, the CU may send the DU an identification of the target cell and a first KPI of the first KPIs of the target cell that does not meet the threshold.
Step 307: the distributed unit DU adjusts radio parameters of the target cell.
In one possible implementation, the CU may perform a fallback operation or a forward operation on the radio parameters of the target cell when applying reinforcement learning to the radio parameter adjustment scheme. The rollback operation may be a rollback preset step, and for example, may be a rollback one step, or may be a rollback two steps, or the like. Similarly, the advance operation may be a preset step, for example, one step or two steps.
For example, when adjusting wireless parameters, the agent performs a 2 And the CU acquires a target cell in the wireless network as a cell2 and sends a cell2 to the DU. At this point, the DU may cause the agent to perform a 2 Action preceding action, e.g. an agent may be caused to perform a 1 Act or cause agent to perform a 0 And (6) acting.
In the embodiment of the present application, after the DU adjusts the radio parameters of the target cell, the adjustment result of the target cell may be sent to the CU. The adjustment result may include the adjusted wireless parameters and the adjusted parameter values in the wireless network.
In one possible implementation, the CU may send the adjustment result to the NWDA. And the NWDA re-determines the KPI data information according to the wireless parameters and the parameter values in the adjustment result. The NWDA may determine the current network scenario according to the wireless parameters and parameter values in the wireless network. And KPI data information can be determined again according to the network scene.
In another possible implementation, the CU may send the adjustment results to the NMS. The NMS may update the first KPI based on wireless parameters and parameter values in the wireless network. For example, the wireless access rate in the first KPI in the wireless network is 97%, and after receiving the adjustment result, the updated wireless access rate is 97.5% according to the wireless parameters and parameter values in the wireless network.
The method for adjusting radio parameters according to the embodiment of the present application is described in detail above with reference to fig. 1 to 3. The following describes the communication device according to the embodiment of the present application in detail with reference to fig. 4 to 6.
Fig. 4 is a schematic structural diagram of a wireless parameter adjustment device according to an embodiment of the present application, for example, 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, and performs the functions of the centralized unit in the above 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 (BBUs) (also referred to as digital units, DUs) 402. The RRU401 may be referred to as a transceiver unit, transceiver circuitry, or transceiver, etc., which may include at least one antenna 4011 and a radio frequency unit 4012. The RRU401 is mainly used for transceiving radio frequency signals and converting radio frequency signals into baseband signals, for example, for sending the identifier of the woodaryxi cell described in the above embodiment to the DU. The BBU 402 is mainly used for performing baseband processing, controlling a base station, and the like. The RRU401 and the BBU 402 may be physically disposed together or may be physically disposed separately, that is, distributed base stations.
The BBU 402 is a control center of a base station, and may also be referred to as a processing unit, and is mainly used for performing baseband processing functions, such as channel coding, multiplexing, modulation, spreading, and the like. For example, the BBU (processing unit) 402 can be used to control the base station to perform the operation flow related to the centralized unit in the above method embodiment.
In an example, the BBU 402 may be formed by one or more boards, and the boards may jointly support a radio access network (e.g., an LTE network) with a single access indication, or may respectively support radio access networks (e.g., LTE networks, 4G networks, or other networks) with different access schemes. The BBU 402 further includes a memory 4021 and a processor 4022, the memory 4021 being configured to store necessary instructions and data. For example, the memory 4021 stores the combined cells in the above embodiments. The processor 4022 is configured 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 above method embodiment. The memory 4021 and the processor 4022 may serve one or more boards. That is, the memory and processor may be provided separately on each board. Multiple boards may share the same memory and processor. In addition, each single board can be provided with necessary circuits.
Fig. 5 is a schematic structural diagram of a wireless parameter adjustment device according to an embodiment of the present application, for example, 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, and performs the functions of the network analysis unit in the above 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 (BBUs) (which may also be referred to as digital units, DUs) 502. The RRU501, which may be referred to as a transceiver unit, transceiver circuitry, or transceiver, etc., may include at least one antenna 5011 and a radio frequency unit 5012. The RRU5011 is mainly used for transceiving radio frequency signals and converting radio frequency signals to baseband signals, for example, for sending KPI data information described in the above embodiments to a centralized unit. The BBU 502 is mainly used for performing baseband processing, controlling network equipment, and the like. The RRU501 and the BBU 502 may be physically disposed together, or may be physically disposed separately, that is, distributed network devices.
The BBU 502 is a control center of a network device, and may also be referred to as a processing unit, and is mainly used for performing baseband processing functions, such as channel coding, multiplexing, modulation, spreading, and the like. For example, the BBU (processing unit) 502 may be used to control a network device to execute the operation flow of the above method embodiment with respect to the network analysis unit.
In an example, the BBU 502 may be formed by one or more boards, and the boards may jointly support a radio access network (e.g., an LTE network) with a single access indication, or may respectively support radio access networks (e.g., LTE networks, 5G networks, or other networks) with different access schemes. The BBU 502 also includes a memory 5021 and a processor 5022, the memory 5021 being used to store necessary instructions and data. The processor 5022 is used for controlling the network device to perform necessary actions, for example, for controlling 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 may serve one or more boards. That is, the memory and processor may be provided separately on each board. Multiple boards may share the same memory and processor. In addition, each single board can be provided with necessary circuits.
Fig. 6 shows a schematic structural diagram of a wireless parameter adjustment apparatus 600. The apparatus 600 may be used to implement the methods described in the above method embodiments, and reference may be made to the description of the above method embodiments. The wireless parameter adjustment apparatus 600 may be a chip, a network device (e.g., a base station), a terminal device or other network devices.
The wireless parameter adjustment apparatus 600 includes one or more processors 601. The processor 601 may be a general purpose processor or a special purpose processor, etc. For example, a baseband processor, or a central processor. The baseband processor may be configured to process communication protocols and communication data, and the central processor may be configured to control the wireless parameter adjusting device (e.g., a base station, a terminal device, or a chip), execute a software program, and process data of the software program. The wireless parameter adjusting device may include a transceiver unit to realize input (reception) and output (transmission) of signals. For example, the wireless parameter adjusting 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 a base station or other network equipment. For another example, the wireless parameter adjusting apparatus may be a terminal device, a base station, or other network devices, and the transceiver unit may be a transceiver, a radio frequency chip, or the like.
The wireless parameter adjustment apparatus 600 includes one or more processors 601, and the one or more processors 601 may implement the method of the centralized unit or the network data analysis unit in the embodiment shown in fig. 2.
In one possible design, the radio parameter adjustment apparatus 600 includes means (means) for acquiring key performance indicator KPI data information, and for sending an identification of a target cell. The functions of obtaining key performance indicator, KPI, data information, and means for sending an identification of a target cell may be implemented by one or more processors. The first transmit power of the second signal may be determined, for example, by one or more processors, receiving a power parameter or transmitting the second signal through an interface of a transceiver, or input/output circuit, or chip. The first transmission power of the second signal may be as described in the above method embodiment.
In one possible design, the wireless parameter adjustment apparatus 600 includes means (means) for obtaining KPIs and data for the KPIs from a network management system, and sending KPI data information. The KPI data and how to send KPI data information can be seen in the relevant description of the above-described method embodiments. The power parameter may be transmitted, for example, through a transceiver, or an input/output circuit, or an interface of a chip.
Optionally, the processor 601 may also implement other functions besides the method of the embodiment shown in fig. 3.
Alternatively, in one design, the processor 601 may execute instructions to cause the wireless parameter adjustment apparatus 600 to perform the method described in the above method embodiment. The instructions may be stored in whole or in part in the processor, such as instructions 603, or in whole or in part in a memory 602 coupled to the processor, such as instructions 604, or may collectively cause wireless parameter adjustment apparatus 600 to perform the method described in the above method embodiment, through instructions 603 and 604.
In yet another possible design, the wireless parameter adjustment apparatus 600 may also include a circuit, which may implement the functions of the centralized unit or the network data analysis unit in the foregoing method embodiments.
In yet another possible design, the wireless parameter adjustment apparatus 600 may include one or more memories 602 having instructions 604 stored thereon, which are executable on the processor, so that the wireless parameter adjustment apparatus 600 performs the method described in the above method embodiment. Optionally, the memory may further store data therein. Instructions and/or data may also be stored in the optional processor. For example, the one or more memories 602 may store KPI data as described in the above embodiments, or as referred to in the above embodiments, and so on. The processor and the memory may be provided separately or may be integrated together.
In yet another possible design, the wireless parameter adjustment apparatus 600 may further include a transceiver 605 and an antenna 606. The processor 601 may be referred to as a processing unit, and controls the wireless parameter adjustment device (a centralized unit or a network data analysis unit). The transceiver 605 may be referred to as a transceiver, a transceiver circuit, or a transceiver, and is used for implementing the transceiving function of the wireless parameter adjusting apparatus through the antenna 606.
The application also provides a wireless parameter adjustment system, which comprises one or more centralized units and one or more network data analysis units.
It should be noted that the processor in the embodiments of the present application may be an integrated circuit chip having signal processing capability. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
It will be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous link SDRAM (SLDRAM), and Direct Rambus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The embodiment of the present application further provides a computer-readable medium, on which a computer program is stored, where the computer program, when executed by a computer, implements the method for adjusting wireless parameters according to any of the method embodiments described above.
The embodiment of the present application further provides a computer program product, and when executed by a computer, the computer program product implements the method for adjusting wireless parameters according to any of the above method embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may 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 loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., Digital Video Disk (DVD)), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The embodiment of the application also provides a processing device, which comprises a processor and an interface; the processor is configured to execute the method for adjusting radio parameters according to any of the above method embodiments.
It should be understood that the processing device may be a chip, the processor may be implemented by hardware or software, and when implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented in software, the processor may be a general-purpose processor implemented by reading software code stored in a memory, which may be integrated in the processor, located external to the processor, or stand-alone.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Additionally, the terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.
It should be understood that in the embodiment of the present application, "B corresponding to a" means that B is associated with a, from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is only a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electrical, mechanical or other form of connection.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented in hardware, firmware, or a combination thereof. When implemented in software, the functions described above may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Taking this as an example but not limiting: computer-readable media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Furthermore. Any connection is properly termed a computer-readable medium. For example, if software is transmitted from a website, a server, or other remote source using a coaxial cable, a fiber optic cable, a twisted pair, a Digital Subscriber Line (DSL), or a wireless technology such as infrared, radio, and microwave, the coaxial cable, the fiber optic cable, the twisted pair, the DSL, or the wireless technology such as infrared, radio, and microwave are included in the fixation of the medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy Disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (20)

  1. A method for adjusting wireless parameters, comprising:
    a centralized unit acquires key performance index KPI data information; the KPI data information comprises a first KPI to be ensured and a threshold corresponding to the first KPI;
    the centralized unit acquires 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 respectively to obtain a target cell needing wireless parameter adjustment;
    the centralized unit sends the identification of the target cell to a distributed unit.
  2. The method of claim 1, wherein the obtaining, by the centralized unit, the first KPI corresponding to each of at least one cell in the wireless network comprises:
    the centralized unit sends a KPI data request to a network management system; the KPI data request comprises an identifier of each cell in at least one cell and first KPI indication information required to be acquired;
    and the centralized unit receives first KPIs respectively corresponding to each cell sent by the network management system.
  3. The method of claim 1, wherein before the centralized unit compares the first KPI of each cell with the threshold respectively to obtain the target cells for which radio parameter adjustment is required, the method further comprises:
    if there are at least two cells that can be combined into one combined cell in the at least one cell, the centralized unit determines that the first KPI of the combined cell does not satisfy the threshold.
  4. The method of any of claims 1-3, wherein after the centralized unit sending the identity of the target cell to the distributed unit, further comprising:
    the centralized unit receives an adjustment result of the distributed unit for adjusting the target cell; the adjustment result comprises wireless parameters adjusted in the wireless network and the adjusted parameter values;
    the centralized unit sends the adjustment result to a 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 a network management system so that the network management system updates the first KPI in the wireless network.
  5. The method according to any of claims 1-4, wherein said obtaining of said KPI data information by said centralized unit comprises:
    the centralized unit obtains the KPI data information from a network data analysis unit.
  6. A method for adjusting wireless parameters, comprising:
    a network data analysis unit acquires KPI and KPI data from a network management system;
    the network data analysis unit determines KPI data information according to the KPI and the KPI data; the KPI data information comprises a first KPI to be ensured and a threshold corresponding to the first KPI; or, the network analysis unit acquires preset KPI data information;
    and the network data analysis unit sends the KPI data information to a centralized unit.
  7. The method of claim 6, wherein the network data analysis unit determines KPI data information based on the KPIs and the KPI data, comprising:
    and the network analysis unit determines KPI data information corresponding to the current network scene according to the corresponding relation between the preset network scene and the KPI data information.
  8. The method according to any of claims 6-7, wherein after sending the KPI data information to a centralized unit, the network data analysis unit further comprises:
    the network data analysis unit receives the adjustment result sent by the centralized unit; the adjustment result comprises wireless parameters adjusted in the wireless network and the adjusted parameter values;
    and the network data unit determines KPI data information again according to the adjustment result.
  9. A wireless parameter adjustment device, comprising:
    the acquisition unit is used for acquiring key performance indicator KPI data information; the KPI data information comprises a first KPI to be ensured and a threshold corresponding to the first KPI; acquiring a first KPI corresponding to each cell in at least one cell in a wireless network;
    the processing unit is used for comparing the first KPI of each cell with the threshold respectively to obtain a target cell needing wireless parameter adjustment;
    and the transceiving unit is used for sending the identification of the target cell to the distributed unit.
  10. The apparatus of claim 9, wherein the transceiver unit is further configured to:
    sending a KPI data request to a network management system; the KPI data request comprises an identifier of each cell in at least one cell and first KPI indication information required to be acquired;
    and receiving first KPIs respectively corresponding to each cell sent by the network management system.
  11. The apparatus of claim 9, wherein the processing unit is further configured to:
    comparing the first KPI of each cell with the threshold respectively, and before obtaining a target cell that needs to be adjusted by wireless parameters, if at least two cells exist in the at least one cell and can be combined into a combined cell, the centralized unit determines that the first KPI of the combined cell does not satisfy the threshold.
  12. The apparatus according to any of claims 9-11, wherein the transceiver unit is further configured to:
    after the identification of the target cell is sent to a distributed unit, receiving an adjustment result of the distributed unit for adjusting the target cell; the adjustment result comprises wireless parameters adjusted in the wireless network and the adjusted parameter values;
    sending the adjustment result to a 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 apparatus according to any of claims 9-12, wherein the obtaining unit is further configured to:
    and acquiring the KPI data information from a network data analysis unit.
  14. A wireless parameter adjustment device, comprising:
    the acquisition unit is used for acquiring KPI and data of the KPI from a network management system;
    the processing unit is used for determining KPI data information according to the KPI and the KPI data; the KPI data information comprises a first KPI to be ensured and a threshold corresponding to the first KPI; or the network analysis unit acquires preset KPI data information;
    and the receiving and sending unit is used for sending the KPI data information to a centralized unit.
  15. The apparatus of claim 14, wherein the processing unit is further configured to:
    and determining KPI data information corresponding to the current network scene according to the corresponding relation between the preset network scene and the KPI data information.
  16. The apparatus according to any of claims 14-15, wherein the transceiver unit is further configured to:
    after sending the KPI data information to a centralized unit, receiving an adjustment result sent by the centralized unit; the adjustment result comprises wireless parameters adjusted in the wireless network and the adjusted parameter values;
    and the processing unit is also used for re-determining KPI data information according to the adjustment result.
  17. A wireless parameter adjustment device, comprising: a processor and a transceiver, the processor being configured to enable communication via the transceiver and to perform the method of any of claims 1-5 or to perform the method of any of claims 6-8.
  18. A wireless parameter adjustment device comprising a processor and a memory, wherein the memory is configured to store computer-executable instructions that, when executed by the processor, cause the apparatus to perform the method of any of claims 1-5 or cause the apparatus to perform the method of any of claims 6-8.
  19. A storage medium having stored thereon a computer program or instructions, which, when executed, cause a processor to perform the method of any one of claims 1-8.
  20. A chip coupled to a memory for reading and executing program instructions stored in the memory to implement the method of any of claims 1-5 or 6-8.
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