A method and device for intelligent network element collaborative optimization

Abstract

The present invention provides a method and apparatus for collaborative optimization of intelligent network elements, the method comprising: issuing corresponding configuration information to distributed intelligent network elements to be collaboratively optimized; receiving collaborative strategy parameter information fed back by the distributed intelligent network elements; performing collaborative analysis on the collaborative strategy parameter information to obtain a collaborative value; performing collaborative determination on the distributed intelligent network elements to be collaboratively optimized based on the collaborative value; and issuing the result of the collaborative determination to the distributed intelligent network elements. In the present invention, a centralized intelligent network element is used to analyze the collaborative strategy parameters of related distributed intelligent network elements to obtain a collaborative value, and collaborative strategies are fed back to distributed network elements with large differences in collaborativeness, thereby improving the degree of collaboration among distributed intelligent network elements.

Description

Technical Field

[0001] The present invention relates to the field of wireless communications, and in particular to a method and device for collaborative optimization of intelligent network elements. Background Art

[0002] Existing base stations do not involve centralized intelligent network elements and distributed intelligent network elements, but in future base stations, there will be a large number of distributed intelligent network elements, such as those distributed on the access network side, core network side, network optimization and management, transmission layer, and multiple newly added external intelligent network elements; however, these distributed intelligent network elements are prone to incoordination and non-optimization in terms of collaboration. Summary of the Invention

[0003] The embodiments of the present invention provide a method and apparatus for collaborative optimization of intelligent network elements, which are used to solve the problem that distributed intelligent network elements are prone to being uncoordinated and unoptimized in terms of collaboration.

[0004] In order to solve the above problems, the present invention is achieved as follows:

[0005] In a first aspect, an embodiment of the present invention provides a method for collaborative optimization of intelligent network elements, which is applied to a centralized intelligent network element, including:

[0006] Sending corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized;

[0007] receiving the coordination strategy parameter information fed back by the distributed intelligent network element;

[0008] Performing coordination determination on the distributed intelligent network elements to be coordinated and optimized;

[0009] The result of the coordination determination is sent to the distributed intelligent network element.

[0010] Optionally, the configuration information includes at least one of the following: a name of the distributed intelligent network element to be collaboratively optimized; a list of collaborative strategy parameters corresponding to each distributed intelligent network element; and a recommendation on a reporting time dimension for the strategy parameters.

[0011] Optionally, the collaborative strategy parameter information is input into a neural network for collaborative analysis to obtain a collaborative value; and the collaborative nature of the distributed intelligent network element to be collaboratively optimized is determined based on the collaborative value.

[0012] Optionally, determining the synergy of the distributed intelligent network element to be collaboratively optimized according to the synergy value includes:

[0013] comparing the synergy value with a preset imbalance threshold;

[0014] If the synergy value is greater than the preset imbalance threshold, it is determined that the synergy meets the requirement;

[0015] If the cooperation value is less than the preset imbalance threshold, it is determined that the cooperation does not meet the requirement.

[0016] Optionally, after determining the synergy of the distributed intelligent network element to be collaboratively optimized according to the synergy value, the method further includes:

[0017] When the synergy meets the requirements, the centralized intelligent network element sends the synergy determination result, the synergy strategy parameter information and the synergy value to the distributed intelligent network element, and updates the configuration information of the distributed intelligent network element to be collaboratively optimized;

[0018] When the synergy does not meet the requirements, the centralized intelligent network element sends the synergy determination result, synergy strategy parameter information, synergy value and synergy adjustment strategy configuration information to the distributed intelligent network element, and dynamically monitors and analyzes the synergy of the distributed intelligent network element until the synergy meets the requirements.

[0019] In a second aspect, an embodiment of the present invention provides a method for collaborative optimization of intelligent network elements, which is applied to distributed intelligent network elements, including:

[0020] Receive configuration information issued by centralized intelligent network elements;

[0021] Obtaining collaborative strategy parameter information according to the configuration information;

[0022] Reporting the coordination strategy parameter information to the centralized intelligent network element;

[0023] Receive the coordination determination result sent by the centralized intelligent network element.

[0024] Optionally, when the received determination result is that the synergy meets the requirements, no synergy adjustment is performed;

[0025] When the received determination result is that the coordination does not meet the requirement, coordination adjustment is performed according to the coordination adjustment strategy configuration information issued by the centralized intelligent network element.

[0026] Optionally, the reporting method to the centralized intelligent network element is to report according to a preset period or to report through event triggering.

[0027] In a third aspect, an embodiment of the present invention provides a centralized intelligent network element, including:

[0028] A first sending module is configured to send corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized;

[0029] A first receiving module is configured to receive the coordination strategy parameter information fed back by the distributed intelligent network element;

[0030] A first processing module is configured to determine the coordination of the distributed intelligent network element to be coordinated and optimized according to the coordination strategy parameter information;

[0031] The second sending module is used to send the result of the coordination determination to the distributed intelligent network element.

[0032] Optionally, the first processing module includes: a first judgment submodule, used to input the collaborative strategy parameter information into a neural network for collaborative analysis to obtain a collaborative value; and perform the collaborative judgment on the distributed intelligent network element to be collaboratively optimized based on the collaborative value.

[0033] Optionally, the first processing module includes: a first processing submodule, configured to compare the coordination value with a preset imbalance threshold;

[0034] If the synergy value is greater than the preset imbalance threshold, it is determined that the synergy meets the requirement;

[0035] If the cooperation value is less than the preset imbalance threshold, it is determined that the cooperation does not meet the requirement.

[0036] Optionally, the first processing module further includes:

[0037] The second processing submodule is configured to, when the synergy meets the requirement, send the synergy determination result, synergy strategy parameter information and synergy value to the distributed intelligent network element by the centralized intelligent network element, and update the configuration information of the distributed intelligent network element to be collaboratively optimized;

[0038] When the synergy does not meet the requirements, the centralized intelligent network element sends the synergy determination result, synergy strategy parameter information, synergy value and synergy adjustment strategy configuration information to the distributed intelligent network element, and dynamically monitors and analyzes the synergy of the distributed intelligent network element until the synergy meets the requirements.

[0039] In a fourth aspect, an embodiment of the present invention provides a distributed intelligent network element, including:

[0040] A second receiving module is used to receive configuration information issued by the centralized intelligent network element;

[0041] A second processing module is used to obtain collaborative strategy parameter information according to the configuration information;

[0042] A third sending module is configured to report the coordination strategy parameter information to the centralized intelligent network element;

[0043] The third receiving module is configured to receive the coordination determination result sent by the centralized intelligent network element.

[0044] Optionally, a third processing module is configured to not perform coordination adjustment when the received determination result indicates that coordination meets the requirement;

[0045] When the received determination result is that the coordination does not meet the requirement, coordination adjustment is performed according to the coordination adjustment strategy configuration information issued by the centralized intelligent network element.

[0046] In a fifth aspect, an embodiment of the present invention provides a centralized intelligent network element, including: a transceiver and a processor;

[0047] The transceiver is used to send corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized;

[0048] The transceiver is configured to receive the coordination strategy parameter information fed back by the distributed intelligent network element;

[0049] The processor is configured to perform coordination determination on the distributed intelligent network element to be coordinated and optimized;

[0050] The transceiver is used to send the result of the coordination determination to the distributed intelligent network element.

[0051] In a sixth aspect, an embodiment of the present invention provides a distributed intelligent network element, including: a transceiver and a processor;

[0052] The transceiver is used to receive configuration information sent by the centralized intelligent network element;

[0053] The processor is configured to obtain collaborative strategy parameter information according to the configuration information;

[0054] The transceiver is configured to report the coordination strategy parameter information to the centralized intelligent network element;

[0055] The transceiver is used to receive the coordination determination result sent by the centralized intelligent network element.

[0056] In the seventh aspect, a centralized intelligent network element is provided, characterized in that it includes: a processor, a memory, and a program stored on the memory and runnable on the processor, and when the program is executed by the processor, the steps of the method for collaborative optimization of intelligent network elements as described in the first aspect are implemented.

[0057] In the eighth aspect, a distributed intelligent network element is provided, characterized in that it includes: a processor, a memory, and a program stored on the memory and runnable on the processor, and when the program is executed by the processor, the steps of the method for collaborative optimization of intelligent network elements as described in the second aspect are implemented.

[0058] In the ninth aspect, a computer-readable storage medium is provided, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the method for intelligent network element collaborative optimization as described in the first aspect, or implements the steps of the method for intelligent network element collaborative optimization as described in the second aspect.

[0059] In an embodiment of the present invention, a centralized intelligent network element is used to analyze the coordination strategy parameters of related distributed intelligent network elements to obtain a coordination value, and coordination strategies are fed back to distributed network elements with large differences in coordination, thereby improving the degree of coordination between distributed intelligent network elements and solving the problem that distributed intelligent network elements are prone to incoordination and non-optimization in terms of coordination. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0061] Figure 1 A schematic diagram of a process for applying a method for collaborative optimization of intelligent network elements to a centralized intelligent network element according to an embodiment of the present invention;

[0062] Figure 2 A schematic diagram of a collaborative analysis structure in a method for collaborative optimization of intelligent network elements provided by an embodiment of the present invention;

[0063] Figure 3 A schematic diagram of the overall process of a method for intelligent network element collaborative optimization provided by an embodiment of the present invention;

[0064] Figure 4 A schematic diagram of a process of applying a method for collaborative optimization of intelligent network elements to distributed intelligent network elements provided by an embodiment of the present invention;

[0065] Figure 5 A schematic diagram of a centralized intelligent network element structure provided by an embodiment of the present invention;

[0066] Figure 6 A schematic diagram of a distributed intelligent network element structure provided by an embodiment of the present invention;

[0067] Figure 7 A schematic diagram of the structure of a transceiver provided in an embodiment of the present invention applied to a centralized intelligent network element;

[0068] Figure 8 A schematic diagram of the structure of a transceiver provided in an embodiment of the present invention applied to a distributed intelligent network element;

[0069] Figure 9 Schematic diagram of a centralized intelligent network element provided by an embodiment of the present invention;

[0070] Figure 10 Schematic diagram of a distributed intelligent network element provided by an embodiment of the present invention. Specific embodiments

[0071] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0072] Please refer to Figure 1-3 , an embodiment of the present invention provides a method for collaborative optimization of intelligent network elements, which is applied to a centralized intelligent network element and includes:

[0073] Step 11: Send corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized;

[0074] Step 12: Receive the collaborative strategy parameter information fed back by the distributed intelligent network element;

[0075] Step 13: Determine the collaboration of the distributed intelligent network element to be collaboratively optimized;

[0076] Step 14: Send the result of the collaboration determination to the distributed intelligent network element.

[0077] In an embodiment of the present invention, in step 11, sending the corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized includes at least one of the following: the name of the distributed intelligent network element to be collaboratively optimized; all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized; the collaborative strategy parameter list corresponding to each distributed intelligent network element; the recommended reporting time dimension of the strategy parameters; Please refer to Figure 2 , in step 13, the determination of collaboration depends on the relationship between the collaboration value c and the preset imbalance threshold h; when c>h, it is determined that the collaboration meets the requirements; when c<h, it is determined that the collaboration does not meet the requirements; the collaboration value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements; wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations.

[0078] In an embodiment of the present invention, a centralized intelligent network element is used to analyze the coordination strategy parameters of related distributed intelligent network elements to obtain a coordination value, and coordination strategies are fed back to distributed network elements with large differences in coordination, thereby improving the degree of coordination between distributed intelligent network elements and solving the problem that distributed intelligent network elements are prone to incoordination and non-optimization in terms of coordination.

[0079] In the embodiment of the present invention, optionally, performing the coordination determination on the distributed intelligent network element to be coordinated and optimized includes:

[0080] The coordination strategy parameter information is input into a neural network for coordination analysis to obtain a coordination value; and the coordination determination is performed on the distributed intelligent network element to be coordinated and optimized according to the coordination value.

[0081] In the embodiment of the present invention, the collaborative analysis method includes but is not limited to at least one of the following: a deep learning analysis method, a trend analysis method, a time synchronization analysis method, and a correlation analysis method; the collaborative value c ranges from [-1, 1], where a larger value indicates a better collaborative effect, and a smaller value indicates a worse collaborative effect;

[0082] In the embodiment of the present invention, please refer to Figure 2 Taking the distributed intelligent network element to be optimized as a TCP (Transmission Control Protocol) window intelligent control network element and a MAC (Media Access Control Address) resource intelligent scheduling network element, and using the deep analysis method to calculate the coordination value as an example, the window data volume information and window width information of the TCP window intelligent control network element, and the rate information of the MAC resource intelligent scheduling network element are input into the trained neural network in the hidden layer. The neural network processes the received information, obtains the coordination value and outputs it. The coordination value can be calculated using the following formula: the coordination value c = [1-(|window data volume / window width-rate of the MAC resource intelligent scheduling network element|) / rate of the MAC resource intelligent scheduling network element] × (1-round-trip delay). Of course, in some other embodiments of the present invention, the calculation method of the coordination value may not be limited to this.

[0083] In an embodiment of the present invention, optionally, the configuration information includes at least one of the following: a name of a distributed intelligent network element to be collaboratively optimized; a list of collaborative strategy parameters corresponding to each distributed intelligent network element; and a recommendation on a reporting time dimension of the strategy parameters.

[0084] In the embodiment of the present invention, optionally, determining the synergy of the distributed intelligent network element to be collaboratively optimized according to the synergy value includes:

[0085] comparing the synergy value with a preset imbalance threshold;

[0086] If the synergy value is greater than the preset imbalance threshold, it is determined that the synergy meets the requirement;

[0087] If the cooperation value is less than the preset imbalance threshold, it is determined that the cooperation does not meet the requirement.

[0088] In an embodiment of the present invention, optionally, after determining the synergy of the distributed intelligent network element to be collaboratively optimized according to the synergy value, the method further includes:

[0089] When the synergy meets the requirements, the centralized intelligent network element sends the synergy determination result, the synergy strategy parameter information and the synergy value to the distributed intelligent network element, and updates the configuration information of the distributed intelligent network element to be collaboratively optimized;

[0090] When the synergy does not meet the requirements, the centralized intelligent network element sends the synergy determination result, synergy strategy parameter information, synergy value and synergy adjustment strategy configuration information to the distributed intelligent network element, and dynamically monitors and analyzes the synergy of the distributed intelligent network element until the synergy meets the requirements.

[0091] In the embodiment of the present invention, dynamically monitoring the distributed intelligent network element is performing the above operation to monitor whether the synergy meets the requirement.

[0092] In an embodiment of the present invention, a centralized intelligent network element is used to analyze the coordination strategy parameters of related distributed intelligent network elements to obtain a coordination value, and coordination strategies are fed back to distributed network elements with large differences in coordination, thereby improving the degree of coordination between distributed intelligent network elements and solving the problem that distributed intelligent network elements are prone to incoordination and non-optimization in terms of coordination.

[0093] Please refer to Figure 3In the embodiment of the present invention, the centralized intelligent network element has the following functions: collaborative optimization function library storage function, collaborative strategy collection function, collaborative analysis function, collaborative adjustment function, and collaborative strategy storage function; the centralized intelligent network element can be connected to multiple distributed intelligent network elements at the same time. In this embodiment, taking the centralized intelligent network element connecting to distributed intelligent network element A and distributed intelligent network element B at the same time as an example, the centralized intelligent network element performs collaborative optimization function point configuration in the collaborative optimization function library, and the distributed intelligent network element to be optimized is the TCP (Transmission Control Protocol) window intelligent control network element and the MAC (Media Access Control Address, Media Access Control Address) resource intelligent scheduling network element as an example, the corresponding configuration information sent by all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized includes at least one of the following: the distributed intelligent network element to be collaboratively optimized (for example: TCP window intelligent control network element and MAC resource intelligent scheduling network element); a list of collaborative strategy parameters corresponding to each distributed intelligent network element (for example: detailed parameters corresponding to TCP window adjustment strategy and MAC resource allocation strategy and complete timestamps); a recommendation on the reporting time dimension of the strategy parameters (for example, TCP and MAC can be configured to 20ms); the distributed intelligent network element periodically reports to the centralized intelligent network element through the configuration information, or reports through a distributed intelligent network element event trigger (for example, severe congestion occurs at TCP); when the performance of the distributed intelligent network element is significantly reduced, that is, the event is triggered, the distributed intelligent network The centralized intelligent network element establishes a connection with the centralized intelligent network element through an interface for reporting. The centralized intelligent network element inputs the received reporting information into a synergy analysis function for synergy analysis and calculation of a synergy value c. The synergy value c can be calculated using the following formula: c = [1 - (|window data volume / window width - rate of the MAC resource intelligent scheduling network element|) / rate of the MAC resource intelligent scheduling network element] × (1 - round-trip delay). The synergy value c ranges from -1 to 1, with larger values ​​indicating better synergy and smaller values ​​indicating worse synergy. Synergy determination depends on the relationship between the synergy value c and a preset imbalance threshold h. For example, if the imbalance threshold h is 0.8, if the obtained synergy value c is 0.99, then c>h, and synergy is determined to meet the requirements. The synergy policy storage function records the information, updates the imbalance threshold, and sends the determination result to the distributed intelligent network element, releasing connection resources. If the obtained synergy value c is 0, the synergy value c is 0.If c < h when the threshold is 5, it is determined that the cooperation does not meet the requirements. Since the cooperation value c triggered by the distributed intelligent network element events must be less than h, it can be directly processed as not meeting the requirements. When the cooperation does not meet the requirements, while sending the determination result to the distributed intelligent network element, specific configurations for cooperation strategy adjustment are also sent, and dynamic monitoring and cooperation analysis are performed on the distributed intelligent network element until the cooperation meets the requirements. Among them, the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations.

[0094] Please refer to Figure 4 , An embodiment of the present invention provides a method for collaborative optimization of intelligent network elements, which is applied to distributed intelligent network elements and includes:

[0095] Step 41: Receive the configuration information sent by the centralized intelligent network element;

[0096] Step 42: Obtain the cooperation strategy parameter information according to the configuration information;

[0097] Step 43: Report the cooperation strategy parameter information to the centralized intelligent network element;

[0098] Step 44: Receive the cooperation determination result sent by the centralized intelligent network element.

[0099] In an embodiment of the present invention, optionally, the reporting to the centralized intelligent network element is performed by reporting at a preset period or by being triggered by an event to report.

[0100] In an embodiment of the present invention, optionally, when the received determination result is that the cooperation meets the requirements, no cooperation adjustment is performed;

[0101] When the received determination result is that the cooperation does not meet the requirements, cooperation adjustment is performed according to the cooperation adjustment strategy configuration information sent by the centralized intelligent network element.

[0102] In an embodiment of the present invention, the distributed intelligent network element first establishes a strategy reporting connection with the centralized intelligent network element according to the received configuration information; after establishing the connection, periodic reporting is performed through the configuration information, or reporting is performed by being triggered by a distributed intelligent network element event (such as a serious congestion occurring at the TCP).

[0103] Please refer to Figure 5 , An embodiment of the present invention provides a centralized intelligent network element, including:

[0104] A first sending module 51, configured to send corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network elements to be collaboratively optimized;

[0105] A first receiving module 52 is configured to receive the coordination strategy parameter information fed back by the distributed intelligent network element;

[0106] A first processing module 53 is configured to determine the coordination of the distributed intelligent network element to be coordinated and optimized according to the coordination strategy parameter information;

[0107] The second sending module 54 is configured to send the result of the coordination determination to the distributed intelligent network element.

[0108] In an embodiment of the present invention, optionally, the first processing module includes: a first judgment submodule, used to input the collaborative strategy parameter information into a neural network for collaborative analysis to obtain a collaborative value; and perform the collaborative judgment on the distributed intelligent network element to be collaboratively optimized based on the collaborative value.

[0109] In the embodiment of the present invention, optionally, the first processing module includes: a first processing submodule, configured to compare the coordination value with a preset imbalance threshold;

[0110] If the synergy value is greater than the preset imbalance threshold, it is determined that the synergy meets the requirement;

[0111] If the cooperation value is less than the preset imbalance threshold, it is determined that the cooperation does not meet the requirement.

[0112] In the embodiment of the present invention, optionally, the first processing module further includes:

[0113] The second processing submodule is configured to, when the synergy meets the requirement, send the synergy determination result, synergy strategy parameter information and synergy value to the distributed intelligent network element by the centralized intelligent network element, and update the configuration information of the distributed intelligent network element to be collaboratively optimized;

[0114] When the synergy does not meet the requirements, the centralized intelligent network element sends the synergy determination result, synergy strategy parameter information, synergy value and synergy adjustment strategy configuration information to the distributed intelligent network element, and dynamically monitors and analyzes the synergy of the distributed intelligent network element until the synergy meets the requirements.

[0115] In the embodiment of the present invention, dynamically monitoring the distributed intelligent network element is performing the above operation to monitor whether the synergy meets the requirement.

[0116] The centralized intelligent network element provided by the embodiment of the present invention can realize Figures 1 to 3 In order to avoid repetition, each process implemented by the centralized intelligent network element in the method embodiment will not be described here.

[0117] Please refer to Figure 6 , an embodiment of the present invention provides a distributed intelligent network element, including:

[0118] The second receiving module 61 is used to receive configuration information issued by the centralized intelligent network element;

[0119] A second processing module 62 is configured to obtain collaborative strategy parameter information according to the configuration information;

[0120] A third sending module 63 is configured to report the coordination strategy parameter information to the centralized intelligent network element;

[0121] The third receiving module 64 is configured to receive the coordination determination result sent by the centralized intelligent network element.

[0122] In the embodiment of the present invention, optionally, the third processing module is configured to not perform coordination adjustment when the received determination result indicates that coordination meets the requirement;

[0123] When the received determination result is that the coordination does not meet the requirement, coordination adjustment is performed according to the coordination adjustment strategy configuration information issued by the centralized intelligent network element.

[0124] The distributed intelligent network element provided by the embodiment of the present invention can realize Figure 4 To avoid repetition, the various processes implemented by the distributed intelligent network element in the method embodiment are not described here.

[0125] Please refer to Figure 7 , an embodiment of the present invention provides a centralized intelligent network element, including: a transceiver and a processor;

[0126] The transceiver is used to send corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized;

[0127] The transceiver is configured to receive the coordination strategy parameter information fed back by the distributed intelligent network element; the processor is configured to perform coordination determination on the distributed intelligent network element to be coordinated and optimized based on the coordination strategy parameter information;

[0128] The transceiver is used to send the result of the coordination determination to the distributed intelligent network element.

[0129] Please refer to Figure 8 , an embodiment of the present invention provides a distributed intelligent network element, including: a transceiver and a processor;

[0130] The transceiver is used to receive configuration information sent by the centralized intelligent network element;

[0131] The processor is configured to obtain collaborative strategy parameter information according to the configuration information;

[0132] The transceiver is configured to report the coordination strategy parameter information to the centralized intelligent network element;

[0133] The transceiver is used to receive the coordination determination result sent by the centralized intelligent network element.

[0134] Please refer to Figure 9 An embodiment of the present invention also provides a centralized intelligent network element 90, including a processor 91, a memory 92, and a computer program stored in the memory 92 and executable on the processor 91. When the computer program is executed by the processor 91, the various processes of the above-mentioned intelligent network element collaborative optimization method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0135] Please refer to Figure 10 An embodiment of the present invention also provides a distributed intelligent network element 100, including a processor 101, a memory 102, and a computer program stored in the memory 102 and executable on the processor 101. When the computer program is executed by the processor 101, the various processes of the above-mentioned intelligent network element collaborative optimization method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0136] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned method embodiment for intelligent network element collaborative optimization is implemented, and the same technical effect is achieved. To avoid repetition, it is not described here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0137] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0138] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or terminal, etc.) to execute the methods described in each embodiment of the present invention.

[0139] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are protected by the present invention.

Claims

1. A method for intelligent network element collaborative optimization, characterized in that: Applied to a centralized intelligent network element, including: Sending corresponding configuration information to distributed intelligent network elements to be collaboratively optimized; sending corresponding configuration information to all distributed intelligent network elements involved in the distributed intelligent network elements to be collaboratively optimized includes at least one of the following: the name of the distributed intelligent network element to be collaboratively optimized; all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized; the list of collaborative policy parameters corresponding to each distributed intelligent network element; the recommended reporting time dimension of the policy parameters; Receiving the collaborative policy parameter information fed back by the distributed intelligent network element; Performing a collaborative determination on the distributed intelligent network element to be collaboratively optimized according to the collaborative policy parameter information; wherein, the distributed intelligent network element reports periodically to the centralized intelligent network element through the configuration information, or reports through the triggering of distributed intelligent network element events, and the determination of collaboration depends on the relationship between the collaboration value c and the preset imbalance threshold h; when c > h, it is determined that the collaboration meets the requirements; when c < h, it is determined that the collaboration does not meet the requirements; the collaboration value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements; Sending the result of the collaborative determination to the distributed intelligent network element; Wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations; the centralized intelligent network element is connected to at least one distributed intelligent network element at the same time.

2. The method for intelligent network element collaborative optimization according to claim 1, characterized in that: Performing the collaborative determination on the distributed intelligent network element to be collaboratively optimized includes: Inputting the collaborative policy parameter information into a neural network for collaborative analysis to obtain a collaboration value; performing the collaborative determination on the distributed intelligent network element to be collaboratively optimized according to the collaboration value.

3. The method for collaborative optimization of intelligent network elements according to claim 1, wherein Performing the collaborative determination on the distributed intelligent network element to be collaboratively optimized according to the collaboration value includes: Comparing the collaboration value with a preset imbalance threshold; ​ ​ 4. The method for intelligent network element collaborative optimization according to claim 3, characterized in that: ​ ​ ​ 5. A method for intelligent network element collaborative optimization, characterized in that: ​ Receive the configuration information sent by the centralized intelligent network element; the configuration information sent to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized includes at least one of the following: the name of the distributed intelligent network element to be collaboratively optimized; all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized; the list of collaborative policy parameters corresponding to each distributed intelligent network element; the recommended reporting time dimension of the policy parameters; Obtain the collaborative policy parameter information according to the configuration information; Report the collaborative policy parameter information to the centralized intelligent network element; Receive the collaborative judgment result sent by the centralized intelligent network element; wherein, the distributed intelligent network element reports to the centralized intelligent network element periodically through the configuration information, or reports through the trigger of the distributed intelligent network element event, and the judgment of collaboration depends on the relationship between the collaboration value c and the preset imbalance threshold h; when c > h, it is determined that the collaboration meets the requirements; when c < h, it is determined that the collaboration does not meet the requirements; the collaboration value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements; Wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations; the centralized intelligent network element is connected to at least one distributed intelligent network element at the same time.

6. The method for intelligent network element collaborative optimization according to claim 5, characterized in that: It also includes: When the received judgment result is that the collaboration meets the requirements, no collaboration adjustment is performed; When the received judgment result is that the collaboration does not meet the requirements, perform collaboration adjustment according to the collaboration adjustment strategy configuration information sent by the centralized intelligent network element.

7. The method for intelligent network element collaborative optimization according to claim 5, characterized in that: It also includes: The method of reporting to the centralized intelligent network element is to report according to a preset period or report through event trigger.

8. A centralized intelligent network element, characterized in that: It includes: The first sending module is used to send the corresponding configuration information to the distributed intelligent network element to be collaboratively optimized; The configuration information sent to all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized includes at least one of the following: the name of the distributed intelligent network element to be collaboratively optimized; all distributed intelligent network elements involved in the distributed intelligent network element to be collaboratively optimized; the list of collaborative policy parameters corresponding to each distributed intelligent network element; the recommended reporting time dimension of the policy parameters; The first receiving module is used to receive the collaborative policy parameter information fed back by the distributed intelligent network element; The first processing module performs a collaboration judgment on the distributed intelligent network element to be collaboratively optimized; wherein, the distributed intelligent network element reports to the centralized intelligent network element periodically through the configuration information, or reports through the trigger of the distributed intelligent network element event, and the judgment of collaboration depends on the relationship between the collaboration value c and the preset imbalance threshold h; when c > h, it is determined that the collaboration meets the requirements; when c < h, it is determined that the collaboration does not meet the requirements; the collaboration value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements; A second sending module, configured to send the result of the coordination determination to the distributed intelligent network element; Wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations; the centralized intelligent network element is simultaneously connected to at least one distributed intelligent network element.

9. A distributed intelligent network element, characterized in that: It includes: A second receiving module, configured to receive the configuration information sent by the centralized intelligent network element; The configuration information sent to all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized includes at least one of the following: the name of the distributed intelligent network element to be jointly optimized; all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized; the list of coordination policy parameters corresponding to each distributed intelligent network element; the recommended reporting time dimension of the policy parameters; A second processing module, configured to obtain coordination policy parameter information according to the configuration information; A third sending module, configured to report the coordination policy parameter information to the centralized intelligent network element; A third receiving module, configured to receive the coordination determination result sent by the centralized intelligent network element; wherein, the distributed intelligent network element periodically reports to the centralized intelligent network element through the configuration information, or reports through the trigger of a distributed intelligent network element event, and the determination of coordination depends on the relationship between the coordination value c and the preset imbalance threshold h; when c>h, it is determined that the coordination meets the requirements; when c<h, it is determined that the coordination does not meet the requirements; the coordination value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements; Wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations; the centralized intelligent network element is simultaneously connected to at least one distributed intelligent network element.

10. A centralized intelligent network element, characterized in that: It includes: A transceiver and a processor; The transceiver is configured to send the corresponding configuration information to all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized; The configuration information sent to all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized includes at least one of the following: the name of the distributed intelligent network element to be jointly optimized; all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized; the list of coordination policy parameters corresponding to each distributed intelligent network element; the recommended reporting time dimension of the policy parameters; The transceiver is configured to receive the coordination policy parameter information fed back by the distributed intelligent network element; The processor is configured to determine the coordination of the distributed intelligent network elements to be jointly optimized; wherein, the distributed intelligent network elements report periodically to the centralized intelligent network element through the configuration information, or report through the triggering of distributed intelligent network element events. The determination of coordination depends on the relationship between the coordination value c and the preset imbalance threshold h; when c > h, it is determined that the coordination meets the requirements; when c < h, it is determined that the coordination does not meet the requirements; the coordination value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements. The transceiver is configured to send the result of the coordination determination to the distributed intelligent network element. Wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations; the centralized intelligent network element is connected to at least one distributed intelligent network element at the same time.

11. A distributed intelligent network element, characterized in that: Comprising: A transceiver and a processor; The transceiver is configured to receive the configuration information sent by the centralized intelligent network element. The configuration information sent to all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized includes at least one of the following: the name of the distributed intelligent network element to be jointly optimized; all the distributed intelligent network elements involved in the distributed intelligent network element to be jointly optimized; the list of coordination policy parameters corresponding to each distributed intelligent network element; the recommended reporting time dimension of the policy parameters. The processor is configured to obtain the coordination policy parameter information according to the configuration information. The transceiver is configured to report the coordination policy parameter information to the centralized intelligent network element. The transceiver is configured to receive the coordination determination result sent by the centralized intelligent network element; wherein, the distributed intelligent network elements report periodically to the centralized intelligent network element through the configuration information, or report through the triggering of distributed intelligent network element events. The determination of coordination depends on the relationship between the coordination value c and the preset imbalance threshold h; when c > h, it is determined that the coordination meets the requirements; when c < h, it is determined that the coordination does not meet the requirements; the coordination value c triggered by the distributed intelligent network element event must be less than h, so it can be directly processed as not meeting the requirements. Wherein, the centralized intelligent network element and the distributed intelligent network element interact through a policy transmission interface; the centralized intelligent network element can not only coordinate the distributed intelligent network elements within the same base station, but also coordinate the distributed intelligent network elements between base stations; the centralized intelligent network element is connected to at least one distributed intelligent network element at the same time.

12. A centralized intelligent network element, characterized in that: Comprising: A processor, a memory, and a program stored on the memory and executable on the processor. When the program is executed by the processor, the steps of the method for jointly optimizing intelligent network elements according to any one of claims 1 to 4 are implemented.

13. A distributed intelligent network element, characterized in that: Comprising: A processor, a memory, and a program stored on the memory and executable on the processor. When the program is executed by the processor, the steps of the method for jointly optimizing intelligent network elements according to any one of claims 5 to 7 are implemented.

14. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for intelligent network element collaborative optimization according to any one of claims 1 to 4 is implemented, or the steps of the method for intelligent network element collaborative optimization according to any one of claims 5 to 7 are implemented.

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