Centralized unit and distributed unit fusion deployment system, related methods and equipment

Abstract

The present invention belongs to the field of 5G network security technology, and discloses a centralized unit and distributed unit fusion deployment system, related methods and equipment. The method of the present invention deploys CU-DU server equipment and external CU server equipment in the network where the core network equipment is located; when the resource utilization detection parameter detected in real time exceeds the preset upper limit threshold, it is judged whether it is necessary to perform graceful resource switching at present; if switching is required, the CU-DU is switched from centralized deployment to distributed deployment; when the resource utilization detection parameter is lower than the preset lower limit threshold, it is judged whether it is necessary to perform graceful resource switching; if switching is required, the CU-DU is switched from distributed deployment to centralized deployment; otherwise, no switching is performed. When the 5G resource utilization rate changes, the present invention performs graceful switching in real time according to the resource consumption situation, solves the performance bottleneck of 5G base stations with centralized CU-DU deployment, and improves the scalability and system reliability of 5G base station resources.

Description

Technical Field

[0001] The present invention belongs to the field of communication technology, and in particular relates to a centralized unit and distributed unit fusion deployment system, related methods and equipment. Background Art

[0002] The BBU software of the 5G access network system is divided into two logical nodes: CU (Central Unit) and DU (Distributed Unit). The advantage of the CU-DU architecture used in the BBU software of the 5G access network system is that it can obtain inter-cell collaboration gain and realize centralized load management; efficiently realize centralized control under dense networking, such as multi-connection and dense switching; obtain pooling gain, enable NFV / SDN, and meet the deployment requirements of certain 5G scenarios of operators. Among them, CU is a centralized node, including the protocol stack RRC (air resource control), SDAP (service data application unit), and PDCP (packet data convergence protocol) sublayer functions; DU is a distributed node, including baseband processing functions such as RF processing functions, RLC (radio link control), MAC (media access control) and PHY (physical layer). The logical systems of CU and DU can be divided into two types, namely CU-DU distributed deployment architecture and CU-DU centralized deployment architecture. CU and DU are connected through the F1 interface.

[0003] In terms of equipment implementation, CU and DU deployment modes can be flexibly selected in two ways, namely CU-DU distributed deployment and CU-DU centralized deployment.

[0004] like Figure 1 As shown in the figure, in the CU-DU distributed deployment mode, CU and DU are deployed on separate server devices (CU server device and DU server device), and wired network communication is carried out through the F1 interface. In this deployment mode, CU and DU each occupy a hardware server device, and the performance of CU and DU software can be guaranteed, but the hardware cost is increased.

[0005] like Figure 2 As shown in the figure, in the centralized deployment mode of CU and DU, CU and DU are deployed on the same hardware server device (i.e., CU-DU server device). In this deployment mode, hardware costs are saved, but the user access volume or user service volume may exceed the processing capacity of the hardware server, resulting in performance bottlenecks in the CU-DU centralized deployment base station, thereby affecting the user's access or service experience.

[0006] Therefore, when deploying 5G base stations in places where the number of users and business volume are uncertain, there are certain problems or limitations in choosing centralized deployment or distributed deployment. Summary of the invention

[0007] The purpose of the present invention is to address the shortcomings of the prior art and provide a centralized unit and distributed unit fusion deployment system, related methods and equipment, adopt a fusion deployment solution of distributed deployment and centralized deployment, solve the performance bottleneck of CU-DU centralized deployed 5G base stations through elegant switching, and improve the scalability of 5G base station resources and system reliability.

[0008] Specifically, the present invention is implemented by adopting the following technical solutions.

[0009] On the one hand, the present invention provides a method for a centralized unit to perform switching judgment, characterized in that a specified resource utilization detection parameter is detected in real time and compared with a preset upper threshold or lower threshold;

[0010] If the deployment mode of the centralized unit is the CU-DU centralized deployment mode, when the resource utilization detection parameter detected in real time exceeds the preset upper limit threshold, the centralized unit determines whether a resource exhaustion graceful switching is currently required; if switching is required, a resource exhaustion graceful switching request is reported; if switching is not required, no switching is performed;

[0011] If the deployment mode of the centralized unit is CU-DU distributed deployment mode, when the resource utilization detection parameter detected in real time is lower than the preset lower limit threshold, the centralized unit determines whether resource low-consumption graceful switching is required at present; if switching is required, a resource low-consumption graceful switching request is reported; if switching is not required, no switching is performed.

[0012] Furthermore, the resource exhaustion graceful switching is to switch the centralized unit function on the CU-DU server device to the external CU server device; the resource low consumption graceful switching is to switch the centralized unit function on the external CU server device to the CU-DU server device.

[0013] Furthermore, the resource utilization detection parameter is the number of users accessing the 5G base station and / or the traffic volume of users accessing the 5G base station.

[0014] In another aspect, the present invention provides a CU-DU server device, characterized in that the CU-DU server device includes a memory and a processor;

[0015] The memory stores a computer program for implementing the following steps: detecting the specified resource utilization detection parameter in real time and comparing it with a preset upper threshold; when the resource utilization detection parameter detected in real time is higher than the preset upper threshold, determining whether a resource exhaustion graceful switching is currently required; if switching is required, reporting a resource exhaustion graceful switching request; if switching is not required, not performing the switching;

[0016] The processor executes the computer program.

[0017] In yet another aspect, the present invention provides a CU server device, the CU server device being deployed outside a CU-DU server device, the CU server device comprising a memory and a processor;

[0018] The memory stores a computer program for implementing the following steps: detecting the specified resource utilization detection parameter in real time and comparing it with a preset lower limit threshold; when the resource utilization detection parameter detected in real time is lower than the preset lower limit threshold, determining whether a low-consumption graceful switching of resources is currently required; if switching is required, reporting a low-consumption graceful switching request of resources; if switching is not required, not performing the switching;

[0019] The processor executes the computer program.

[0020] In another aspect, the present invention provides a centralized unit and distributed unit integrated deployment system, comprising a CU-DU server device deployed in the same network as a core network device and an external CU server device deployed outside the CU-DU server device; the external CU server device is used as a resource expansion standby; the CU-DU server device is connected to the external CU server device via an F1 interface;

[0021] When the CU-DU centralized deployment mode is adopted, the CU-DU server device detects the resource utilization detection parameters in real time. When the resource utilization detection parameters detected in real time exceed the preset upper limit threshold, it is determined whether a graceful switching of resource exhaustion is required at present; if switching is required, a graceful switching request of resource exhaustion is reported, and the centralized unit function on the CU-DU server device is switched to the external CU server device, so that the CU-DU is switched from centralized deployment to distributed deployment; if switching is not required, no switching is performed;

[0022] When the CU-DU distributed deployment method is adopted, the external CU server device detects the resource utilization detection parameters in real time. When the resource utilization detection parameters detected in real time are lower than the preset lower limit threshold, it determines whether resource low-consumption elegant switching is currently required; if switching is required, a resource low-consumption elegant switching request is reported, and the centralized unit function on the external CU server device is switched to the CU-DU server device, so that the CU-DU is switched from distributed deployment to centralized deployment; if switching is not required, no switching is performed.

[0023] Furthermore, when the resource utilization detection parameter detected in real time by the CU-DU server device exceeds the preset upper limit threshold for a specified time, it is determined whether a resource exhaustion graceful switching is currently required; when the resource utilization detection parameter detected in real time by the external CU server device is lower than the preset lower limit threshold for a specified time, it is determined whether a resource low-consumption graceful switching is currently required.

[0024] In another aspect, the present invention provides a method for integrating and deploying a centralized unit and a distributed unit, comprising:

[0025] Deploy a CU-DU server device and an external CU server device in the network where the core network device is located; the external CU server device is used as a resource expansion standby; the CU-DU server device is connected to the external CU server device through the F1 interface; preset the upper and lower thresholds of the resource utilization detection parameters;

[0026] Detect resource utilization detection parameters in real time and compare them with preset upper or lower thresholds;

[0027] When the CU-DU centralized deployment mode is adopted, the CU-DU server device detects the resource utilization detection parameters in real time. When the resource utilization detection parameters detected in real time exceed the preset upper limit threshold, it is determined whether a graceful switching of resource exhaustion is required at present; if switching is required, a graceful switching request of resource exhaustion is reported, and the centralized unit function on the CU-DU server device is switched to the external CU server device, so that the CU-DU is switched from centralized deployment to distributed deployment; if switching is not required, no switching is performed;

[0028] When the CU-DU distributed deployment method is adopted, the external CU server device detects the resource utilization detection parameters in real time. When the resource utilization detection parameters detected in real time are lower than the preset lower limit threshold, it determines whether resource low-consumption elegant switching is currently required; if switching is required, a resource low-consumption elegant switching request is reported, and the centralized unit function on the external CU server device is switched to the CU-DU server device, so that the CU-DU is switched from distributed deployment to centralized deployment; if switching is not required, no switching is performed.

[0029] Furthermore, when the resource utilization detection parameter detected in real time by the CU-DU server device exceeds the preset upper limit threshold for a specified time, it is determined whether a resource exhaustion graceful switching is currently required; when the resource utilization detection parameter detected in real time by the external CU server device is lower than the preset lower limit threshold for a specified time, it is determined whether a resource low-consumption graceful switching is currently required.

[0030] On the other hand, the present invention provides a device for the integrated deployment of centralized units and distributed units, the device comprising a memory and a processor; the memory stores a computer program for implementing the method for the integrated deployment of centralized units and distributed units, and the processor executes the computer program to implement the steps according to the above method.

[0031] The beneficial effects of the centralized unit and distributed unit fusion deployment system, related methods and devices of the present invention are as follows:

[0032] The centralized unit and distributed unit fusion deployment system, related methods and devices of the present invention deploy CU and DU on the same CU-DU server device in the same network connected to the core network device, and separately deploy a CU server device outside the CU-DU server device as a resource expansion standby; when the 5G resource utilization rate changes during use, the centralized unit and distributed unit fusion deployment system of the present invention detects and calculates the 5G base station resource utilization rate in real time through the currently running CU (CU on the CU-DU server device or external CU server device), compares it with the preset threshold, and performs resource exhaustion graceful switching process and resource consumption reduction graceful switching process according to the resource consumption situation. Limited hardware resources can be used to implement CU and DU functions, and when the user access volume or user business volume exceeds the processing capacity of the hardware server, it automatically judges and switches to the standby external CU server device for distributed deployment to prevent performance bottlenecks in the base station; when the user access volume or user business volume is low, it automatically judges and switches back to the CU-DU server device for centralized deployment, which is convenient for equipment maintenance and replacement; user access or business experience is guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural diagram of CU-DU distributed deployment.

[0034] Figure 2 It is a schematic diagram of the structure of CU-DU centralized deployment.

[0035] Figure 3 It is a structural diagram of the CU-DU fusion deployment system of the present invention.

[0036] Figure 4 It is a flow chart of CU-DU fusion deployment of the present invention.

[0037] Figure 5 It is a flow chart of intelligent calculation of resource exhaustion switching of the present invention.

[0038] Figure 6 It is a schematic diagram of the structure before and after resource exhaustion switching of the present invention (CU-DU switches from centralized deployment to distributed deployment).

[0039] Figure 7 It is a flow chart of the resource low-consumption switching intelligent calculation of the present invention.

[0040] Figure 8 It is a schematic diagram of the structure before and after the low-consumption resource switching of the present invention (CU-DU switches from distributed deployment to centralized deployment). DETAILED DESCRIPTION

[0041] The present invention is further described in detail below in conjunction with embodiments and with reference to the accompanying drawings.

[0042] Embodiment 1:

[0043] One embodiment of the present invention is a centralized unit and distributed unit integrated deployment system, related methods and devices.

[0044] 1. Deployment and Configuration Phase

[0045] The structure of the centralized unit CU and distributed unit DU integrated deployment system of the present invention is as follows: Figure 3 As shown, CU and DU are deployed on the same CU-DU server device, and a separate CU server device is deployed outside the CU-DU server device as a resource expansion standby. The CU-DU server device, external CU server device and core network device are deployed on the same network. The CU-DU server device is connected to the external CU server device through the network, and the CU-DU server device and the external CU server device are connected to the core network device at the same time.

[0046] When CU-DU is centrally deployed, the CU and DU functions are run by the CU-DU server device, and the CU function is not run on the external CU server device; when CU-DU is distributed, the CU function runs on the external CU server device, and only the DU function runs on the CU-DU server device.

[0047] 5G base station resource utilization detection parameters include hardware server CPU occupancy, memory usage, number of user accesses, user access success rate, base station service flow, etc. CU is set with 5G base station resource utilization parameter thresholds, including resource utilization (CPU, memory, number of users, service volume, etc.) upper and lower thresholds. The centralized unit CU and distributed unit DU fusion deployment method of the present invention is as follows: Figure 4 Shown

[0048] 2. Resource Utilization Calculation Phase

[0049] The currently running CU (CU on the CU-DU server device or external CU server device) monitors the 5G base station resource utilization detection parameters in real time, and performs intelligent calculation of resource utilization based on the set 5G base station resource utilization threshold.

[0050] The specific methods of intelligent resource utilization calculation are as follows:

[0051] When the CU-DU centralized deployment method is adopted, the CU on the CU-DU server device performs real-time resource utilization detection, including detecting the number of users accessing the 5G base station and the user's business volume. If the number of access users or the user's business volume is greater than the set upper threshold, the resource exhaustion switching intelligent calculation stage is entered. Preferably, in another embodiment, in order to avoid frequent switching, the resource low-consumption switching intelligent calculation stage is entered only after the real-time detected resource utilization detection parameter exceeds the set upper threshold for a specified time. Preferably, when the real-time detected resource utilization detection parameter exceeds the set upper threshold, a relevant alarm is generated.

[0052] If the CU-DU centralized deployment mode has been switched to a distributed deployment mode, the external CU server device currently running the CU function will perform real-time resource utilization detection. If the number of access users or user traffic of the 5G base station is less than the set lower limit threshold, the resource low-consumption switching intelligent calculation stage is entered. Preferably, in another embodiment, in order to avoid frequent switching, the resource low-consumption switching intelligent calculation stage is entered only after the real-time detected resource utilization detection parameter is lower than the set lower limit threshold for a specified time. Preferably, when the real-time detected resource utilization detection parameter is lower than the set lower limit threshold, a relevant alarm is generated.

[0053] 3. Resource switching intelligent computing stage

[0054] Resource switching intelligent computing is divided into resource exhaustion switching intelligent computing stage and resource low-consumption switching intelligent computing stage. When the CU-DU centralized deployment mode is currently running, resource exhaustion graceful switching intelligent computing is adopted; when the CU-DU distributed deployment mode is currently running, resource low-consumption switching intelligent computing is adopted.

[0055] Gracefully switch to intelligent computing phase when resources are exhausted

[0056] like Figure 5 As shown, the CU on the CU-DU server device performs intelligent calculation of graceful switching of resource exhaustion to determine whether graceful switching of resource exhaustion is currently required. If the result of the intelligent calculation of graceful switching of resource exhaustion is that switching is required, a graceful switching request for resource exhaustion is reported, and the CU function on the CU-DU server device is switched to an external CU server device. The CU-DU is switched from centralized deployment to distributed deployment. Only the DU function runs on the original CU-DU server device, and the available resources of the DU can also be increased. Figure 6 As shown; if the switching algorithm outputs that switching is not required, no switching is performed.

[0057] Low resource consumption and elegant switching to intelligent computing stage

[0058] like Figure 7 As shown, the CU on the external CU server device performs intelligent calculation of resource low-consumption elegant switching to determine whether resource low-consumption elegant switching is currently required. If the result of the intelligent calculation of resource low-consumption elegant switching is that switching is required, a resource low-consumption elegant switching request is reported, and the centralized deployment mode is switched to switch the CU function on the external CU server device to the CU-DU server device. CU-DU switches from distributed deployment to centralized deployment, such as Figure 8 As shown; if the switching algorithm outputs that switching is not required, no switching is performed.

[0059] The centralized unit and distributed unit fusion deployment system, related methods and devices of the present invention deploy CU and DU on the same CU-DU server device in the same network connected to the core network device, and separately deploy a CU server device outside the CU-DU server device as a resource expansion standby; when the 5G resource utilization rate changes during use, the centralized unit and distributed unit fusion deployment system of the present invention detects and calculates the 5G base station resource utilization rate in real time through the currently running CU (CU on the CU-DU server device or external CU server device), compares it with the preset threshold, and performs resource exhaustion graceful switching process and resource consumption reduction graceful switching process according to the resource consumption situation. Limited hardware resources can be used to implement CU and DU functions, and when the user access volume or user business volume exceeds the processing capacity of the hardware server, it automatically judges and switches to the standby external CU server device for distributed deployment to prevent performance bottlenecks in the base station; when the user access volume or user business volume is low, it automatically judges and switches back to the CU-DU server device for centralized deployment, which is convenient for equipment maintenance and replacement; user access or business experience is guaranteed.

[0060] In some embodiments, certain aspects of the above-mentioned techniques may be implemented by one or more processors of a processing system executing software. The software includes one or more executable instruction sets stored or otherwise tangibly implemented on a non-transitory computer-readable storage medium. The software may include instructions and certain data that manipulate one or more processors to perform one or more aspects of the above-mentioned techniques when executed by one or more processors. Non-transitory computer-readable storage media may include, for example, magnetic or optical disk storage devices, solid-state storage devices such as flash memory, cache, random access memory (RAM), or other non-volatile memory devices. The executable instructions stored on the non-transitory computer-readable storage medium may be source code, assembly language code, object code, or other instruction formats interpreted or otherwise executed by one or more processors.

[0061] Computer-readable storage media may include any storage medium or combination of storage media that can be accessed by a computer system during use to provide instructions and / or data to the computer system. Such storage media may include, but are not limited to, optical media (e.g., compact disks (CDs), digital versatile disks (DVDs), Blu-ray disks), magnetic media (e.g., floppy disks, tapes, or magnetic hard drives), volatile memory (e.g., random access memory (RAM) or cache), non-volatile memory (e.g., read-only memory (ROM) or flash memory), or micro-electromechanical system (MEMS)-based storage media. Computer-readable storage media may be embedded in a computing system (e.g., system RAM or ROM), fixedly attached to a computing system (e.g., a magnetic hard drive), removably attached to a computing system (e.g., an optical disk or a universal serial bus (USB)-based flash memory), or coupled to a computer system via a wired or wireless network (e.g., network accessible storage (NAS)).

[0062] Please note that not all activities or elements in the general description above are required, that a portion of a particular activity or device may not be required, and that one or more further activities or included elements may be performed in addition to those described. Further, the order in which the activities are listed is not necessarily the order in which they are performed. Moreover, these concepts have been described with reference to specific embodiments. However, those of ordinary skill in the art recognize that various modifications and changes may be made without departing from the scope of the present disclosure as set forth in the following claims. Therefore, the specification and drawings are to be regarded as illustrative rather than restrictive, and all such modifications are included within the scope of the present disclosure.

[0063] Benefits, other advantages, and solutions to problems have been described above with respect to specific embodiments. However, benefits, advantages, solutions to problems, and any features that may cause any benefit, advantage, or solution to occur or become more apparent should not be construed as key, essential, or essential features of any or all claims in any or other respects. In addition, the specific embodiments disclosed above are merely illustrative, as the disclosed subject matter may be modified and implemented in different but equivalent ways that are apparent to those skilled in the art having the benefit of the teachings herein. There is no intention to limit the details of construction or design shown herein, except as described in the claims. It is therefore apparent that the specific embodiments disclosed above may be altered or modified, and all such variations are considered to be within the scope of the disclosed subject matter.

Claims

1. A method for a centralized unit to perform switching judgment, characterized in that: Detecting the specified resource utilization detection parameter in real time and comparing it with a preset upper threshold or a lower threshold; the resource utilization detection parameter is the number of access users of the 5G base station and / or the traffic volume of access users of the 5G base station; If the deployment mode of the centralized unit is CU-DU centralized deployment mode, when the resource utilization detection parameter detected in real time exceeds the preset upper limit threshold, the centralized unit determines whether a graceful switching of resource exhaustion is required at present; the graceful switching of resource exhaustion is to switch the centralized unit function on the CU-DU server device to the external CU server device; if switching is required, a graceful switching request of resource exhaustion is reported; If switching is not required, no switching is performed; If the deployment mode of the centralized unit is a CU-DU distributed deployment mode, when the resource utilization detection parameter detected in real time is lower than the preset lower limit threshold, the centralized unit determines whether a low-consumption graceful switching of resources is currently required; the low-consumption graceful switching of resources is the switching of the centralized unit function on the external CU server device to the CU-DU server device; If switching is required, a low-consumption and graceful switching request is reported; If switching is not required, no switching is performed.

2. A CU-DU server device, characterized in that: The CU-DU server device deploys a centralized unit and a distributed unit, and independently deploys a CU server device outside the CU-DU server device as a resource expansion standby, and the CU-DU server device includes a memory and a processor; The memory stores a computer program for implementing the following steps: when the CU-DU server device runs the functions of the centralized unit and the distributed unit, the specified resource utilization detection parameter is detected in real time and compared with a preset upper limit threshold; the resource utilization detection parameter is the number of access users of the 5G base station and / or the traffic volume of the access users of the 5G base station; When the resource utilization detection parameter detected in real time is higher than the preset upper limit threshold, it is determined whether a graceful switching of resource exhaustion is required at present; the graceful switching of resource exhaustion is to switch the centralized unit function on the CU-DU server device to the external CU server device; if switching is required, a graceful switching request of resource exhaustion is reported; If switching is not required, no switching is performed; and the processor executes the computer program.

3. A CU server device, characterized in that: The CU server device is deployed outside the CU-DU server device, and the CU server device includes a memory and a processor; The memory stores a computer program for implementing the following steps: after the centralized unit function on the CU-DU server device is switched to the external CU server device, a specified resource utilization detection parameter is detected in real time and compared with a preset lower limit threshold; the resource utilization detection parameter is the number of access users of the 5G base station and / or the traffic volume of access users of the 5G base station; When the resource utilization detection parameter detected in real time is lower than the preset lower limit threshold, it is determined whether a low-consumption graceful switching of resources is required at present; the low-consumption graceful switching of resources is the switching of the centralized unit function on the external CU server device to the CU-DU server device; If switching is required, a low-consumption and graceful switching request is reported; If switching is not required, no switching is performed; The processor executes the computer program.

4. A centralized unit and distributed unit integrated deployment system, characterized in that: It includes a CU-DU server device deployed in the same network as the core network device and an external CU server device deployed outside the CU-DU server device; the external CU server device is used as a resource expansion standby; the CU-DU server device is connected to the external CU server device via an F1 interface; When the CU-DU centralized deployment mode is adopted, the CU-DU server device detects the resource utilization detection parameters in real time. When the resource utilization detection parameters detected in real time exceed the preset upper limit threshold, it is determined whether a graceful switching of resource exhaustion is required at present; the graceful switching of resource exhaustion is to switch the centralized unit function on the CU-DU server device to the external CU server device; if switching is required, a resource exhaustion graceful switching request is reported, and the centralized unit function on the CU-DU server device is switched to the external CU server device, so that the CU-DU is switched from centralized deployment to distributed deployment; if switching is not required, no switching is performed; When the CU-DU distributed deployment mode is adopted, the external CU server device detects the resource utilization detection parameter in real time, and when the resource utilization detection parameter detected in real time is lower than the preset lower limit threshold, it is determined whether a low-consumption graceful switching of resources is currently required; the low-consumption graceful switching of resources is the switching of the centralized unit function on the external CU server device to the CU-DU server device; If switching is required, a low-consumption and elegant switching request is reported to switch the centralized unit function on the external CU server device to the CU-DU server device, so that the CU-DU is switched from distributed deployment to centralized deployment; If switching is not required, no switching is performed; The resource utilization detection parameter is the number of users accessing the 5G base station and / or the traffic volume of users accessing the 5G base station.

5. The centralized unit and distributed unit integrated deployment system according to claim 4, characterized in that: When the resource utilization detection parameter detected in real time by the CU-DU server device exceeds the preset upper threshold for a specified time, it is determined whether a graceful switching of resource exhaustion is currently required; when the resource utilization detection parameter detected in real time by the external CU server device is lower than the preset lower threshold for a specified time, it is determined whether a graceful switching of resource low consumption is currently required.

6. A method for integrating and deploying a centralized unit and a distributed unit, characterized in that: include: Deploy a CU-DU server device and an external CU server device in the network where the core network device is located; the external CU server device is used as a resource expansion standby; the CU-DU server device is connected to the external CU server device through an F1 interface; Preset an upper threshold and a lower threshold of a resource utilization detection parameter; the resource utilization detection parameter is the number of access users of the 5G base station and / or the traffic volume of access users of the 5G base station; Detect resource utilization detection parameters in real time and compare them with preset upper or lower thresholds; When the CU-DU centralized deployment mode is adopted, the CU-DU server device detects the resource utilization detection parameters in real time. When the resource utilization detection parameters detected in real time exceed the preset upper limit threshold, it is determined whether a graceful switching of resource exhaustion is required at present; the graceful switching of resource exhaustion is to switch the centralized unit function on the CU-DU server device to the external CU server device; if switching is required, a resource exhaustion graceful switching request is reported, and the centralized unit function on the CU-DU server device is switched to the external CU server device, so that the CU-DU is switched from centralized deployment to distributed deployment; if switching is not required, no switching is performed; When the CU-DU distributed deployment mode is adopted, the external CU server device detects the resource utilization detection parameter in real time, and when the resource utilization detection parameter detected in real time is lower than the preset lower limit threshold, it is determined whether a low-consumption graceful switching of resources is currently required; the low-consumption graceful switching of resources is the switching of the centralized unit function on the external CU server device to the CU-DU server device; If switching is required, a low-consumption and elegant switching request is reported to switch the centralized unit function on the external CU server device to the CU-DU server device, so that the CU-DU is switched from distributed deployment to centralized deployment; If switching is not required, no switching is performed.

7. The method for integrating and deploying a centralized unit and a distributed unit according to claim 6, characterized in that: When the resource utilization detection parameter detected in real time by the CU-DU server device exceeds the preset upper threshold for a specified time, it is determined whether a graceful switching of resource exhaustion is currently required; when the resource utilization detection parameter detected in real time by the external CU server device is lower than the preset lower threshold for a specified time, it is determined whether a graceful switching of resource low consumption is currently required.

8. A centralized unit and a distributed unit integrated deployment device, characterized in that: The device includes a memory and a processor; the memory stores a computer program for implementing a method for integrating and deploying a centralized unit and a distributed unit, and the processor executes the computer program to implement the steps of the method according to any one of claims 6-7.

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