CN114339824A - Centralized unit and distributed unit fusion deployment system, related method and equipment - Google Patents
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Abstract
The invention belongs to the technical field of 5G network security, and discloses a system, a related method and a related device for fusion and deployment of a centralized unit and a distributed unit. The method of the invention comprises the steps that CU-DU server equipment and external CU server equipment are deployed in a network where core network equipment is located; when the real-time detected resource utilization detection parameter exceeds a preset upper limit threshold, judging whether resource elegant switching is needed at present; if the switching is needed, the CU-DU is switched from the centralized deployment to the distributed deployment; when the resource utilization detection parameter is lower than a preset lower limit threshold, judging whether resource elegant switching is needed; if the switching is needed, the CU-DU is switched from distributed deployment to centralized deployment; otherwise, no handover is performed. When the utilization rate of the 5G resources changes, the invention carries out elegant switching according to the resource consumption condition in real time, solves the performance bottleneck of the 5G base station which is intensively deployed by the CU-DU, and improves the expandability of the 5G base station resources and the reliability of the system.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a system, a related method and a related device for fusion and deployment of a centralized unit and a distributed unit.
Background
BBU software of the 5G access network system is divided into two logical nodes of CU (Central Unit) and DU (Distributed Unit). The BBU software of the 5G access network system adopts the CU-DU framework, and has the advantages that the inter-cell cooperation gain can be obtained, and the centralized load management is realized; the centralized control under the dense networking, such as multi-connection and dense switching, is realized efficiently; and acquiring pooling gain, enabling NFV/SDN, and meeting the deployment requirements of certain 5G scenes of operators. Wherein, the CU is a centralized node and comprises functions of a protocol stack RRC (radio resource control), an SDAP (service data application unit) and a PDCP (packet data convergence protocol) sublayer; the DU is a distributed node, and includes radio frequency processing functions, RLC (radio link control), MAC (media access control), PHY (physical layer), and other baseband processing functions. The logical architecture of the CU and the DU can be divided into two types, namely, a CU-DU distributed deployment architecture and a CU-DU centralized deployment architecture. The CU and DU are connected via an F1 interface.
In terms of equipment implementation, the CU and DU deployment modes can be flexibly selected in two modes, namely CU-DU distributed deployment and CU-DU centralized deployment.
As shown in fig. 1, in the CU-DU distribution deployment mode, CUs and DUs are deployed on separate server devices (CU server device and DU server device), and perform wired network communication through an F1 interface. In this deployment, the CU and DU occupy one hardware server device each, and the performance of CU and DU software can be guaranteed, but hardware cost is increased.
As shown in fig. 2, in the centralized CU and DU deployment mode, the CU and the DU are deployed on the same hardware server device (i.e., CU-DU server device). In this deployment mode, hardware cost is saved, but the situation that the user access volume or user traffic volume exceeds the processing capacity of the hardware server may occur, which causes performance bottleneck of the base station centrally deployed by the CU-DU, thereby affecting the user access or service experience.
Therefore, there is a certain problem or limitation in the schemes of performing deployment of 5G base stations where the number of users and the amount of traffic are uncertain and selecting centralized deployment or distributed deployment.
Disclosure of Invention
The invention aims to: aiming at the defects of the prior art, a system, a related method and a device for the convergence deployment of the centralized unit and the distributed unit are provided, the convergence deployment scheme of the distributed deployment and the centralized deployment is adopted, the performance bottleneck of the 5G base station which is centrally deployed by the CU-DU is solved through an elegant switching mode, and the resource expandability and the system reliability of the 5G base station are improved.
Specifically, the invention is realized by adopting the following technical scheme.
In one aspect, the present invention provides a method for switching and determining a central unit, which is characterized in that a specified resource utilization detection parameter is detected in real time and compared with a preset upper threshold or a preset lower threshold;
if the deployment mode of the centralized unit is a CU-DU centralized deployment mode, when the resource utilization detection parameter detected in real time exceeds a preset upper limit threshold value, the centralized unit judges whether resource exhaustion elegant switching is needed or not at present; if the switching is needed, reporting a resource exhaustion elegant switching request; if the switching is not needed, the switching is not carried out;
if the deployment mode of the centralized unit is a CU-DU distribution deployment mode, when the resource utilization detection parameter detected in real time is lower than a preset lower limit threshold, the centralized unit judges whether resource low-consumption elegant switching is needed at present; if the switching is needed, reporting a resource low-consumption elegant switching request; if no handover is required, no handover is performed.
Further, the resource exhaustion gracefully switches to switch the hub unit function on the CU-DU server device to the external CU server device; the resource is switched to the CU-DU server device by the centralized unit function on the external CU server device in a low-consumption and elegant mode.
Further, 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.
In another aspect, the present invention provides a CU-DU server apparatus, characterized in that the CU-DU server apparatus includes a memory and a processor;
the memory stores a computer program that implements the steps of: detecting the specified resource utilization detection parameters in real time, and comparing the detected parameters with a preset upper limit threshold; when the real-time detected resource utilization detection parameter is higher than a preset upper limit threshold value, judging whether resource exhaustion elegant switching is needed at present; if the switching is needed, reporting a resource exhaustion elegant switching request; if the switching is not needed, the switching is not carried out;
the processor executes the computer program.
In yet another aspect, the present invention provides a CU server device deployed outside a CU-DU server device, the CU server device comprising a memory and a processor;
the memory stores a computer program that implements the steps of: detecting the specified resource utilization detection parameters in real time, and comparing the detected parameters with a preset lower limit threshold; when the resource utilization detection parameter detected in real time is lower than a preset lower limit threshold, judging whether resource low-consumption elegant switching is needed at present; if the switching is needed, reporting a resource low-consumption elegant switching request; if the switching is not needed, the switching is not carried out;
the processor executes the computer program.
In another aspect, the present invention provides a system for convergence and deployment of a central unit and a distributed unit, including 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 serves as a resource expansion standby; the CU-DU server equipment is connected with external CU server equipment through an F1 interface;
when a CU-DU centralized deployment mode is adopted, the CU-DU server equipment detects resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time exceed a preset upper limit threshold value, whether resource exhaustion elegant switching needs to be carried out at present is judged; if the switching is needed, reporting a resource exhaustion elegant switching request, and switching the centralized unit function on the CU-DU server equipment to external CU server equipment so that the CU-DU is switched from centralized deployment to distributed deployment; if the switching is not needed, the switching is not carried out;
when a CU-DU distribution deployment mode is adopted, the external CU server equipment detects the resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time are lower than a preset lower limit threshold, whether resource low-consumption elegant switching is required or not is judged; if the switching is needed, reporting a resource low-consumption and elegant switching request, and switching the centralized unit function on the external CU server equipment to CU-DU server equipment to ensure that the CU-DU is switched from distributed deployment to centralized deployment; if no handover is required, no handover is performed.
Further, when the resource utilization detection parameter detected by the CU-DU server equipment in real time exceeds the preset upper limit threshold value and reaches a specified time, judging whether resource exhaustion elegant switching is needed at present; and when the resource utilization detection parameter detected by the external CU server equipment in real time is lower than the preset lower limit threshold value and reaches the specified time, judging whether resource low-consumption elegant switching is required at present.
In another aspect, the present invention provides a method for fusion deployment of a hub unit and a distribution unit, including:
the method comprises the steps that CU-DU server equipment and external CU server equipment are deployed in a network where core network equipment is located; the external CU server device serves as a resource expansion standby; the CU-DU server equipment is connected with external CU server equipment through an F1 interface; presetting an upper limit threshold and a lower limit threshold of a resource utilization detection parameter;
detecting the resource utilization detection parameters in real time, and comparing the detected resource utilization detection parameters with a preset upper limit threshold or a preset lower limit threshold;
when a CU-DU centralized deployment mode is adopted, the CU-DU server equipment detects resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time exceed a preset upper limit threshold value, whether resource exhaustion elegant switching needs to be carried out at present is judged; if the switching is needed, reporting a resource exhaustion elegant switching request, and switching the centralized unit function on the CU-DU server equipment to external CU server equipment so that the CU-DU is switched from centralized deployment to distributed deployment; if the switching is not needed, the switching is not carried out;
when a CU-DU distribution deployment mode is adopted, the external CU server equipment detects the resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time are lower than a preset lower limit threshold, whether resource low-consumption elegant switching is required or not is judged; if the switching is needed, reporting a resource low-consumption and elegant switching request, and switching the centralized unit function on the external CU server equipment to CU-DU server equipment to ensure that the CU-DU is switched from distributed deployment to centralized deployment; if no handover is required, no handover is performed.
Further, when the resource utilization detection parameter detected by the CU-DU server equipment in real time exceeds the preset upper limit threshold value and reaches a specified time, judging whether resource exhaustion elegant switching is needed at present; and when the resource utilization detection parameter detected by the external CU server equipment in real time is lower than the preset lower limit threshold value and reaches the specified time, judging whether resource low-consumption elegant switching is required at present.
In yet another aspect, the present invention provides a centralized unit and distributed unit fusion deployment apparatus, which includes a memory and a process; the memory stores a computer program for implementing the method for fusion deployment of the concentration unit and the distribution unit, and the processor executes the computer program to implement the steps according to the method.
The system, the related method and the equipment for the fusion and deployment of the centralized units and the distributed units have the following beneficial effects:
according to the system, the related method and the device for the fusion and the deployment of the centralized unit and the distributed unit, a CU and a DU are deployed on the same CU-DU server device in the same network connected with core network equipment, and a CU server device is independently deployed outside the CU-DU server device to serve as a resource expansion standby; when the utilization rate of 5G resources is changed in the using process of the centralized unit and distributed unit fusion deployment system, the resource utilization rate of the 5G base station is detected and calculated in real time through a currently running CU (a CU on CU-DU server equipment or external CU server equipment), the comparison is carried out with a preset threshold value, and a resource exhaustion elegant switching process and a resource consumption reduction elegant switching process are carried out according to the condition of resource consumption. The functions of the CU and the DU can be realized by using limited hardware resources, and when the user access volume or the user service volume exceeds the processing capacity of the hardware server, the spare external CU server equipment is automatically judged and switched to for distributed deployment, so that the performance bottleneck of the base station is prevented; when the user access volume or the user service volume is low, automatic judgment is carried out and switching is carried out back to the CU-DU server equipment for centralized deployment, so that the equipment is convenient to maintain and replace; the access or service experience of the user is guaranteed.
Drawings
Fig. 1 is a schematic structural diagram of a CU-DU distribution deployment.
Fig. 2 is a schematic structural diagram of centralized deployment of CU-DUs.
FIG. 3 is a schematic structural diagram of a CU-DU fusion deployment system of the present invention.
FIG. 4 is a flow diagram of the CU-DU fusion deployment of the present invention.
Fig. 5 is a flow chart of the resource-depleting handover intelligence computation of the present invention.
Fig. 6 is a schematic diagram of the pre-and post-resource-exhaustion switching structure of the present invention (CU-DU is switched from centralized deployment to distributed deployment).
Fig. 7 is a flowchart of the resource intensive handover intelligence computation of the present invention.
FIG. 8 is a schematic diagram of the pre-and post-resource low-consumption switching structure (CU-DU is switched from distributed deployment to centralized deployment) of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples and the accompanying drawings.
Example 1:
an embodiment of the invention relates to a convergence deployment system of a concentration unit and a distribution unit, and a related method and equipment.
First, deployment configuration phase
The structure of the fusion deployment system of the centralized unit CU and the distribution unit DU is shown in fig. 3, wherein the CU and the DU are deployed on the same CU-DU server device, and meanwhile, one CU server device is separately deployed outside the CU-DU server device to serve as a resource expansion standby. The CU-DU server equipment, the external CU server equipment and the core network equipment are deployed in the same network. The CU-DU server device is connected with the external CU server device through the network, and the CU-DU server device and the external CU server device are simultaneously connected with the core network device.
When the CU-DU is in centralized deployment, the CU-DU server equipment operates the CU and DU functions, and the external CU server equipment does not operate the CU functions; when the CU-DU is deployed in a distributed mode, the CU function runs on the external CU server equipment, and only the DU function runs on the CU-DU server equipment.
And 5G base station resource utilization detection parameters comprise hardware server CPU occupancy rate, memory use condition, user access number, user access success rate, base station service flow and the like. The CU is provided with thresholds of 5G base station resource utilization parameters, including upper limit threshold and lower limit threshold of resource utilization (CPU, memory, number of users, traffic and the like). The flow of the fusion deployment method of the centralized unit CU and the distributed unit DU of the invention is shown in FIG. 4
Second, resource utilization calculation stage
And monitoring the resource utilization detection parameters of the 5G base station in real time by the currently running CU (the CU on the CU-DU server equipment or the external CU server equipment), and carrying out intelligent resource utilization calculation by combining the set resource utilization threshold value of the 5G base station.
The specific way of the intelligent calculation of the resource utilization is as follows:
when a CU-DU centralized deployment mode is adopted, a CU on CU-DU server equipment carries out resource utilization detection in real time, and the detection comprises the detection of the number of access users of a 5G base station and the service volume of the users. And if the number of the access users or the user traffic is larger than a set upper limit threshold, entering an intelligent calculation stage of resource exhaustion switching. Preferably, in another embodiment, in order to avoid frequent switching, the resource low-consumption switching intelligent calculation stage is not started until the resource utilization detection parameter detected in real time exceeds the set upper limit threshold for a specified time. Preferably, when the resource utilization detection parameter detected in real time exceeds a set upper limit threshold, a relevant alarm is generated.
And if the CU-DU centralized deployment mode is switched to the distributed deployment mode, performing resource utilization detection in real time by the external CU server equipment which operates the CU function currently. And if the number of the access users or the user traffic of the 5G base station is less than a set lower limit threshold, entering an intelligent calculation stage of resource low-consumption switching. Preferably, in another embodiment, in order to avoid frequent switching, the resource low-consumption switching intelligent calculation stage is not started until the resource utilization detection parameter detected in real time is lower than the set lower threshold for a specified time. Preferably, when the resource utilization detection parameter detected in real time is lower than a set lower threshold, a relevant alarm is generated.
Third, resource switching intelligent computing stage
The intelligent computing of resource switching is divided into a resource exhaustion switching intelligent computing stage and a resource low-consumption switching intelligent computing stage. When the current operation is in a CU-DU centralized deployment mode, the intelligent calculation is switched through resource exhaustion elegance; when the current operation is a CU-DU distribution deployment mode, the intelligent calculation of resource low-consumption switching is adopted.
Resource exhaustion graceful switching intelligent computation phase
As shown in fig. 5, the CU on the CU-DU server device performs intelligent calculation of resource exhaustion graceful handover, and determines whether resource exhaustion graceful handover is currently required. If the intelligent calculation result of the resource exhaustion elegant switching is that the switching is needed, reporting a resource exhaustion elegant switching request, switching the CU function on the CU-DU server equipment to the external CU server equipment, switching the CU-DU from centralized deployment to distributed deployment, only operating the DU function on the original CU-DU server equipment, and simultaneously increasing the available resource of the DU, as shown in FIG. 6; and if the switching algorithm output is that the switching is not needed, not switching.
Resource low-consumption and elegant switching intelligent computing stage
As shown in fig. 7, the CU on the external CU server device performs intelligent calculation of resource-saving and elegant switching, and determines whether resource-saving and elegant switching is currently required. If the resource low-consumption and elegant switching intelligent calculation result is that switching is needed, reporting a resource low-consumption and elegant switching request, switching to a centralized deployment mode, switching the CU function on external CU server equipment to CU-DU server equipment, and switching the CU-DU from distributed deployment to centralized deployment, as shown in FIG. 8; and if the switching algorithm output is that the switching is not needed, not switching.
According to the system, the related method and the device for the fusion and the deployment of the centralized unit and the distributed unit, a CU and a DU are deployed on the same CU-DU server device in the same network connected with core network equipment, and a CU server device is independently deployed outside the CU-DU server device to serve as a resource expansion standby; when the utilization rate of 5G resources is changed in the using process of the centralized unit and distributed unit fusion deployment system, the resource utilization rate of the 5G base station is detected and calculated in real time through a currently running CU (a CU on CU-DU server equipment or external CU server equipment), the comparison is carried out with a preset threshold value, and a resource exhaustion elegant switching process and a resource consumption reduction elegant switching process are carried out according to the condition of resource consumption. The functions of the CU and the DU can be realized by using limited hardware resources, and when the user access volume or the user service volume exceeds the processing capacity of the hardware server, the spare external CU server equipment is automatically judged and switched to for distributed deployment, so that the performance bottleneck of the base station is prevented; when the user access volume or the user service volume is low, automatic judgment is carried out and switching is carried out back to the CU-DU server equipment for centralized deployment, so that the equipment is convenient to maintain and replace; the access or service experience of the user is guaranteed.
In some embodiments, certain aspects of the techniques described above may be implemented by one or more processors of a processing system executing software. The software includes one or more sets of executable instructions stored or otherwise tangibly embodied on a non-transitory computer-readable storage medium. The software may include instructions and certain data that, when executed by one or more processors, manipulate the one or more processors to perform one or more aspects of the techniques described above. The non-transitory computer-readable storage medium may include, for example, a magnetic or optical disk storage device, a solid state storage device such as flash memory, cache, Random Access Memory (RAM), etc., or other non-volatile memory device. Executable instructions stored on a non-transitory computer-readable storage medium may be in source code, assembly language code, object code, or other instruction format that is interpreted or otherwise executed by one or more processors.
A computer-readable storage medium may include any storage medium or combination of storage media that is accessible by a computer system during use to provide instructions and/or data to the computer system. Such storage media may include, but is not limited to, optical media (e.g., Compact Discs (CDs), Digital Versatile Discs (DVDs), blu-ray discs), magnetic media (e.g., floppy disks, tape, 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 systems (MEMS) -based storage media. The computer-readable storage medium can 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 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)).
Note that not all of the 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. Still further, the order in which the activities are listed need not be the order in which they are performed. Moreover, these concepts have been described with reference to specific embodiments. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the present disclosure as set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such modifications are intended to be included within the scope of present disclosure.
Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any feature(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature of any or all the claims in any or all respects. Moreover, the particular embodiments disclosed above are illustrative only, as the disclosed subject matter may be modified and practiced in different but equivalent manners apparent to those skilled in the art having the benefit of the teachings herein. No limitations are intended to the details of construction or design herein shown, other than as described in the claims below. It is therefore evident that the particular embodiments disclosed above may be altered or modified and all such variations are considered within the scope of the disclosed subject matter.
Claims (10)
1. A method for switching and judging a centralized unit is characterized in that a specified resource utilization detection parameter is detected in real time and compared with a preset upper limit threshold or a preset lower limit threshold;
if the deployment mode of the centralized unit is a CU-DU centralized deployment mode, when the resource utilization detection parameter detected in real time exceeds a preset upper limit threshold value, the centralized unit judges whether resource exhaustion elegant switching is needed or not at present; if the switching is needed, reporting a resource exhaustion elegant switching request; if the switching is not needed, the switching is not carried out;
if the deployment mode of the centralized unit is a CU-DU distribution deployment mode, when the resource utilization detection parameter detected in real time is lower than a preset lower limit threshold, the centralized unit judges whether resource low-consumption elegant switching is needed at present; if the switching is needed, reporting a resource low-consumption elegant switching request; if no handover is required, no handover is performed.
2. The method of switching determination by a central unit according to claim 1, characterized in that the resource exhaustion gracefully switches to switching the central unit function on a CU-DU server device to an external CU server device; the resource is switched to the CU-DU server device by the centralized unit function on the external CU server device in a low-consumption and elegant mode.
3. The method of claim 1, wherein 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.
4. A CU-DU server apparatus, comprising a memory and a processor;
the memory stores a computer program that implements the steps of: detecting the specified resource utilization detection parameters in real time, and comparing the detected parameters with a preset upper limit threshold; when the real-time detected resource utilization detection parameter is higher than a preset upper limit threshold value, judging whether resource exhaustion elegant switching is needed at present; if the switching is needed, reporting a resource exhaustion elegant switching request; if the switching is not needed, the switching is not carried out;
the processor executes the computer program.
5. A CU server device, wherein the CU server device is deployed outside of a CU-DU server device, the CU server device comprising a memory and a processor;
the memory stores a computer program that implements the steps of: detecting the specified resource utilization detection parameters in real time, and comparing the detected parameters with a preset lower limit threshold; when the resource utilization detection parameter detected in real time is lower than a preset lower limit threshold, judging whether resource low-consumption elegant switching is needed at present; if the switching is needed, reporting a resource low-consumption elegant switching request; if the switching is not needed, the switching is not carried out;
the processor executes the computer program.
6. A centralized unit and distributed unit fusion deployment system is characterized by comprising CU-DU server equipment and external CU server equipment, wherein the CU-DU server equipment and core network equipment are deployed in the same network; the external CU server device serves as a resource expansion standby; the CU-DU server equipment is connected with external CU server equipment through an F1 interface;
when a CU-DU centralized deployment mode is adopted, the CU-DU server equipment detects resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time exceed a preset upper limit threshold value, whether resource exhaustion elegant switching needs to be carried out at present is judged; if the switching is needed, reporting a resource exhaustion elegant switching request, and switching the centralized unit function on the CU-DU server equipment to external CU server equipment so that the CU-DU is switched from centralized deployment to distributed deployment; if the switching is not needed, the switching is not carried out;
when a CU-DU distribution deployment mode is adopted, the external CU server equipment detects the resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time are lower than a preset lower limit threshold, whether resource low-consumption elegant switching is required or not is judged; if the switching is needed, reporting a resource low-consumption and elegant switching request, and switching the centralized unit function on the external CU server equipment to CU-DU server equipment to ensure that the CU-DU is switched from distributed deployment to centralized deployment; if no handover is required, no handover is performed.
7. The system for fusion deployment of a centralized unit and a distributed unit according to claim 6, wherein when the resource utilization detection parameter detected by the CU-DU server device in real time exceeds the preset upper threshold for a specified time, it is determined whether a resource exhaustion graceful handover is currently required; and when the resource utilization detection parameter detected by the external CU server equipment in real time is lower than the preset lower limit threshold value and reaches the specified time, judging whether resource low-consumption elegant switching is required at present.
8. A method for fusion deployment of a concentration unit and a distribution unit is characterized by comprising the following steps:
the method comprises the steps that CU-DU server equipment and external CU server equipment are deployed in a network where core network equipment is located; the external CU server device serves as a resource expansion standby; the CU-DU server equipment is connected with external CU server equipment through an F1 interface; presetting an upper limit threshold and a lower limit threshold of a resource utilization detection parameter;
detecting the resource utilization detection parameters in real time, and comparing the detected resource utilization detection parameters with a preset upper limit threshold or a preset lower limit threshold;
when a CU-DU centralized deployment mode is adopted, the CU-DU server equipment detects resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time exceed a preset upper limit threshold value, whether resource exhaustion elegant switching needs to be carried out at present is judged; if the switching is needed, reporting a resource exhaustion elegant switching request, and switching the centralized unit function on the CU-DU server equipment to external CU server equipment so that the CU-DU is switched from centralized deployment to distributed deployment; if the switching is not needed, the switching is not carried out;
when a CU-DU distribution deployment mode is adopted, the external CU server equipment detects the resource utilization detection parameters in real time, and when the resource utilization detection parameters detected in real time are lower than a preset lower limit threshold, whether resource low-consumption elegant switching is required or not is judged; if the switching is needed, reporting a resource low-consumption and elegant switching request, and switching the centralized unit function on the external CU server equipment to CU-DU server equipment to ensure that the CU-DU is switched from distributed deployment to centralized deployment; if no handover is required, no handover is performed.
9. The method for fusion deployment of a central unit and a distribution unit according to claim 8, wherein when the resource utilization detection parameter detected by the CU-DU server device in real time exceeds the preset upper threshold for a specified time, it is determined whether a resource exhaustion graceful handover is currently required; and when the resource utilization detection parameter detected by the external CU server equipment in real time is lower than the preset lower limit threshold value and reaches the specified time, judging whether resource low-consumption elegant switching is required at present.
10. A convergence deployment device of a concentration unit and a distribution unit is characterized by comprising a memory and a processor; the memory stores a computer program for implementing a method for converged deployment of hub and distribution units, and the processor executes the computer program for implementing the steps of the method according to any one of claims 8 to 9.
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