CN113068201A - Cell parameter optimization method, device, equipment and storage medium - Google Patents
Cell parameter optimization method, device, equipment and storage medium Download PDFInfo
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- CN113068201A CN113068201A CN202110296074.4A CN202110296074A CN113068201A CN 113068201 A CN113068201 A CN 113068201A CN 202110296074 A CN202110296074 A CN 202110296074A CN 113068201 A CN113068201 A CN 113068201A
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Abstract
The application provides a cell parameter optimization method, a device, equipment and a storage medium, wherein the method comprises the steps of establishing an intelligent contract on a first block chain according to a preset parameter optimization rule; receiving a monitoring index of a cell to be optimized sent by a first operator terminal, and screening out a cell with poor quality; sending the indexes of the poor quality cells to a first block chain, and judging whether new poor quality cells exist or not through the first block chain; if the new quality difference increasing cell exists, triggering an intelligent contract to execute to obtain a corresponding optimization parameter of the new quality difference increasing cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference increasing cell to a second block chain and a first operator terminal; the method comprises the steps of receiving a parameter change instruction sent by a first operator end, modifying cell parameters according to the parameter change instruction, improving accuracy of cell parameter optimization, realizing a mode of completely automatically adjusting optimization due to the fact that an intelligent contract is completely defined and executed by codes, and improving efficiency of cell parameter optimization.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for optimizing cell parameters.
Background
With the arrival of the fifth generation mobile communication technology (5th generation mobile networks, 5G), in order to reduce the operation cost and operation complexity of an operator, the operator wireless network co-construction sharing becomes a new direction of network optimization, and the device sharing measurement and parameter configuration among different manufacturers are promoted through a certain mechanism, and the resource is shared among different nodes of the network through consistent parameter configuration, so that the optimization of the network is obtained.
In a traditional cell parameter optimization mode, a carrier at the construction side does not provide a network management modification operation authority for optimizing cell parameters by a carrier at the use side, all network management operations are applied to the carrier at the construction side by the carrier at the use side through means of mails, telephones, work orders and the like, the carrier at the construction side is informed to adjust, and then the carrier at the construction side operates and executes on a network management.
However, in the prior art, the cell parameter optimization needs manual judgment, notification and adjustment, the accuracy of cell parameter optimization is low, the efficiency is low, and the information between the carrier-side operator and the user-side operator is opaque, so that the parameter optimization is difficult to be performed accurately.
Disclosure of Invention
The application provides a cell parameter optimization method, a device, equipment and a storage medium, so that the technical problems that in the prior art, the cell parameter optimization needs manual judgment, notification and adjustment, the accuracy of the cell parameter optimization is low, the efficiency is low, information between a construction side operator terminal and a use side operator terminal is opaque, and the parameter optimization is difficult to accurately carry out are solved.
In a first aspect, the present application provides a cell parameter optimization method, including:
creating an intelligent contract on the first block chain according to a preset parameter optimization rule;
receiving a monitoring index of a cell to be optimized sent by a first operator terminal, and screening out a cell with poor quality;
sending the indexes of the poor quality cells to the first block chain, and judging whether new poor quality cells exist or not through the first block chain;
if the new quality difference increasing cell exists, triggering an intelligent contract to execute to obtain a corresponding optimization parameter of the new quality difference increasing cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference increasing cell to a second block chain and the first operator terminal;
and receiving a parameter change instruction sent by the first operator terminal, and modifying the cell parameters according to the parameter change instruction.
Here, the embodiment of the present application is directed to a user side of a co-established shared cell, an intelligent contract is created on a first block chain according to a preset parameter optimization rule, the user side realizes, through an intelligent contract technology, a right to require a construction side to change cell parameters according to its own scheme, so that the construction side performs parameter change according to an optimization rule set by an intelligent contract, since the intelligent contract is completely code-defined and executed, a completely automatic and manually non-interventional mode is realized, as long as an execution condition of the intelligent contract is triggered, an optimization parameter is automatically output to initiate a modification request to the construction side, errors caused by manual operation are avoided, since data of the block chain cannot be tampered, the modified parameter is legal and stable, transparency of information between an operator at the construction side and an operator at the user side is improved, and accuracy of cell parameter optimization is improved, and because the intelligent contract is completely defined and executed by codes, a completely automatic adjustment and optimization mode is realized, and the efficiency of optimizing cell parameters is improved.
Optionally, the preset parameter optimization rule includes inputting a cell quality difference index of the second operator and outputting a corresponding optimization parameter;
before the creating of the intelligent contract on the first blockchain according to the preset parameter optimization rule, the method further includes:
and determining a preset parameter optimization rule according to the historical poor cell index and the historical poor cell optimization data.
Here, the preset parameter optimization rule according to the embodiment of the present application includes inputting a cell quality difference index of the second operator and outputting a corresponding optimization parameter, determining the preset parameter optimization rule according to a historical quality difference cell index and historical quality difference cell optimization data, and analyzing data to find a root cause of the difference in index by combining parameter conditions of the entire network, so as to obtain an accurate preset parameter optimization rule, thereby further improving accuracy of cell parameter optimization.
Optionally, the triggering the intelligent contract to execute to obtain the corresponding optimization parameter of the new cell with poor quality, includes:
and inputting the cell quality difference index of the new quality difference increasing cell into a first block chain, and controlling the first block chain to output the corresponding optimization parameter of the new quality difference increasing cell through the intelligent contract.
According to the embodiment of the application, the cell quality difference index of the newly increased quality difference cell is processed through the intelligent contract, the corresponding optimization parameter of the newly increased quality difference cell can be output, the accurate optimization parameter is obtained through automatic machine processing which cannot be manually interfered, the cell parameter is optimized, and the accuracy of cell parameter optimization is further improved.
In a second aspect, an embodiment of the present application provides a cell parameter optimization method, including:
acquiring a monitoring index of a cell to be optimized;
sending the monitoring index of the cell to be optimized to a second operator end so that the second operator end screens out a poor quality cell according to the monitoring index, sending the poor quality cell index of the poor quality cell to a first block chain, and judging whether a new poor quality cell exists or not through the first block chain; if a new quality-increasing poor cell exists, triggering an intelligent contract to execute;
receiving a quality difference cell index and a corresponding optimization parameter sent by the second operator end, wherein the corresponding optimization parameter is obtained after the second operator end triggers an intelligent contract to execute;
and sending a parameter change instruction to the second operator terminal according to the new quality-difference-added cell index and the corresponding optimization parameter, so that the second operator terminal modifies the cell parameter according to the parameter change instruction.
Aiming at the construction side of the co-constructed shared cell, when a parameter change instruction is issued by the use side to modify the parameters, the embodiment of the application needs to firstly acquire the indexes of the poor quality cell and the corresponding optimized parameters sent by the use side, namely the second operator side, the indexes and the parameters can be understood as a modified parameter application request sent by the use side, the construction side can modify the parameters after actively proposing the application, and the real data of the use side and the optimized parameters after accurate processing are combined, so that the accuracy, stability and efficiency of cell parameter optimization are improved, and the condition of illegally tampering the cell parameters is effectively prevented.
Optionally, the sending a parameter change instruction to the second operator end according to the poor cell index and the corresponding optimization parameter includes:
inquiring whether the quality difference cell indexes and the corresponding optimization parameters of the new quality difference cell exist on a second block chain;
if yes, the second operator terminal sends a parameter change instruction;
if not, an optimization request abandon instruction is generated.
Here, before sending the parameter change instruction, the establishment side in the embodiment of the present application needs to first verify whether the second block chain has the corresponding poor cell index and the optimized parameter, if yes, execute the parameter change instruction, and if not, abandon and do not process the cell optimization request, thereby further preventing the occurrence of the situation of illegally tampering the cell parameter, and improving the accuracy and stability of cell parameter optimization.
In a third aspect, an embodiment of the present application provides a cell parameter optimization apparatus, including:
the creating module is used for creating an intelligent contract on the first block chain according to a preset parameter optimization rule;
the first processing module is used for receiving the monitoring index of the cell to be optimized sent by the first operator terminal and screening out the poor cell;
the second processing module is used for sending the indexes of the poor quality cells to the first block chain and judging whether new poor quality cells exist or not through the first block chain;
the third processing module is used for triggering the intelligent contract to execute if a new quality difference cell exists, obtaining a corresponding optimization parameter of the new quality difference cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference cell to the second block chain and the first operator terminal;
and the fourth processing module is used for receiving the parameter change instruction sent by the first operator terminal and modifying the cell parameters according to the parameter change instruction.
Optionally, the preset parameter optimization rule includes inputting a cell quality difference index of the second operator and outputting a corresponding optimization parameter;
before the creating module creates the intelligent contract on the first block chain according to the preset parameter optimization rule, the apparatus further includes:
and the determining module is used for determining a preset parameter optimization rule according to the historical poor cell index and the historical poor cell optimization data.
Optionally, the third processing module is specifically configured to input the cell quality difference indicator of the new cell with poor quality to the first block chain, and control the first block chain to output the corresponding optimization parameter of the new cell with poor quality through the intelligent contract.
In a fourth aspect, an embodiment of the present application provides a cell parameter optimization apparatus, including:
the acquisition module is used for acquiring the monitoring index of the cell to be optimized;
a fifth processing module, configured to send the monitoring index of the cell to be optimized to a second operator end, so that the second operator end screens out a quality difference cell according to the monitoring index, sends the quality difference cell index of the quality difference cell to a first block chain, and determines whether a new quality difference cell exists through the first block chain; if a new quality-increasing poor cell exists, triggering an intelligent contract to execute;
the receiving module is used for receiving the quality difference cell index and the corresponding optimization parameter sent by the second operator terminal, wherein the corresponding optimization parameter is obtained after the second operator terminal triggers the intelligent contract to execute;
and the sixth processing module is used for sending a parameter change instruction to the second operator terminal according to the new quality-enhanced poor cell index and the corresponding optimization parameter, so that the second operator terminal modifies the cell parameter according to the parameter change instruction.
Optionally, the sixth processing module is specifically configured to:
inquiring whether the quality difference cell indexes and the corresponding optimization parameters of the new quality difference cell exist on a second block chain;
if yes, the second operator terminal sends a parameter change instruction;
if not, an optimization request abandon instruction is generated.
In a fifth aspect, an embodiment of the present application provides a cell parameter optimization device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of cell parameter optimization according to the first aspect and alternatives thereof, or according to the second aspect and alternatives thereof.
In a sixth aspect, embodiments of the present application provide a computer-readable storage medium, where computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the method for optimizing cell parameters according to the first aspect and the alternatives of the first aspect, or according to the second aspect and the alternatives of the second aspect is implemented.
In a seventh aspect, an embodiment of the present invention provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for optimizing cell parameters according to the first aspect and the optional manner of the first aspect, or according to various possible designs of the second aspect and the optional manner of the second aspect, is implemented.
The method, the device, the equipment and the storage medium for optimizing the cell parameters are provided by the embodiment of the application, wherein the method aims at a use side of a co-established shared cell, an intelligent contract is established on a first block chain according to a preset parameter optimization rule, the use side realizes the right of requiring a construction side to change the cell parameters according to a scheme thereof through an intelligent contract technology, so that the construction side carries out parameter change according to the optimization rule set by the intelligent contract, as the intelligent contract is completely defined and executed by codes, a completely automatic and manual intervention-incapable mode is realized, as long as the execution condition of the intelligent contract is triggered, the optimization parameters are automatically output to initiate a modification request to the construction side, the error caused by manual operation is avoided, as the data of the block chain can not be tampered, the modified parameters are legal and stable, and the transparency of information between an operator at the construction side and an operator at the use side is improved, the accuracy of cell parameter optimization is improved, and because the intelligent contract is completely defined and executed by codes, a completely automatic adjustment optimization mode is realized, and the efficiency of cell parameter optimization is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic architecture diagram of a cell parameter optimization system according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a cell parameter optimization method according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another cell parameter optimization method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another cell parameter optimization method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a cell parameter optimization apparatus according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of another cell parameter optimization apparatus according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a cell parameter optimization device according to an embodiment of the present application.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terms "first," "second," "third," and "fourth," if any, in the description and claims of this application and the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
With the advent of the 5G era, in order to reduce the operation cost and the operation complexity of an operator, the co-construction and sharing of an operator wireless network becomes a new direction of network optimization, equipment sharing measurement and parameter configuration among different manufacturers are promoted through a certain mechanism, and resources are shared among different nodes of the network through consistent parameter configuration, so that the optimization of the network is obtained. The implementation and risk control of the cell parameter optimization process of the use side are completely new subjects for both the construction side and the use side.
In a traditional cell parameter optimization mode, a carrier at the construction side does not provide a network management modification operation authority for optimizing cell parameters by a carrier at the use side, all network management operations are applied to the carrier at the construction side by the carrier at the use side through means of mails, telephones, work orders and the like, the carrier at the construction side is informed to adjust, and then the carrier at the construction side operates and executes on a network management. At present, the setting-up side does not provide the network management modification operation authority for optimizing the cell parameters by the use side, all network management operations are applied by the use side to the setting-up side, and the setting-up side performs operation on the network management. The daily cell optimization of the use side at the present stage is mainly informed to the establishment side for adjustment through means such as mails, telephones, work orders and the like, the whole process is carried out manually, and the efficiency is low and the effect is poor; how to adjust parameters and whether the adjustment is in place in time or not and whether to adjust cell parameters of a user side without reasons are opaque to the user side, so that imbalance of the two parties of co-construction sharing in the right of knowledge of the network is caused, and the problem that attention and control are needed in the co-construction sharing work is solved. The benefit risk points of the co-building shared use side are as follows: the self workload of the construction side is large, the cell optimization problem of the use side cannot be deeply analyzed, and the problem cannot be accurately solved by formulating an optimization strategy according to the grass rate; the construction side does not have the whole network parameter information of the own network of the use side, and the whole network cooperation can not be realized by the global optimization of the network of the use side; the quality of the network on the user side is reduced because the wrong parameter configuration is carried out on the cell on the user side without any reason of human error. At this moment, the cell parameter optimization rule of the use side is fixed in the form of an intelligent contract, and the right and obligation of parameter optimization of both sides are agreed by the block chain technology, so that the computer system can execute the regulations by itself, thereby avoiding the improper influence caused by human factors and promoting the fair development of co-construction shared services.
However, in the prior art, the cell parameter optimization needs manual judgment, notification and adjustment, the accuracy of the cell parameter optimization is low, the efficiency is low, and the information between the carrier-side operator and the user-side operator is opaque, so that the parameter optimization is difficult to be performed accurately.
In order to solve the above technical problem, embodiments of the present application provide a method, an apparatus, a device, and a computer-readable storage medium for optimizing cell parameters, where a first block chain and a second block chain are constructed, an intelligent contract is created on the first block chain according to a preset parameter optimization rule, and a user side implements, through an intelligent contract technology, a right to require a contractor to change cell parameters according to its own scheme, so that the contractor changes parameters according to the optimization rule set by the intelligent contract, and as long as an execution condition of the intelligent contract is triggered, an optimization parameter is automatically output to initiate a modification request to the contractor.
Optionally, the cell parameter optimization method provided in this embodiment of the present application is applied to a second operator end of a co-established shared cell, that is, a user side and a first operator end of the co-established shared cell, that is, a construction side, and in order to optimize cell parameters of the user side, a first block chain and a second block chain are constructed and are respectively used for the second operator end to send data and the first operator end to receive data; fig. 1 is a schematic structural diagram of a cell parameter optimization system according to an embodiment of the present disclosure, and as shown in fig. 1, the system includes, for example, a first operator terminal 11, a second operator terminal 12, a first block chain 13, and a second block chain 14. In an actual application process, the first operator terminal 11 and the second operator terminal 12 may implement sending and receiving of information, and establish a communication connection, and the second block chain 14 may also implement communication with the second operator terminal 12, respectively.
It is to be understood that the illustrated structure of the embodiments of the present application does not form a specific limitation to the architecture of the user information determination system. In other possible embodiments of the present application, the foregoing architecture may include more or less components than those shown in the drawings, or combine some components, or split some components, or arrange different components, which may be determined according to practical application scenarios, and is not limited herein. The components shown in fig. 1 may be implemented in hardware, software, or a combination of software and hardware.
In addition, the network architecture and the service scenario described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not constitute a limitation to the technical solution provided in the embodiment of the present application, and it can be known by a person skilled in the art that along with the evolution of the network architecture and the appearance of a new service scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.
The technical solutions of the present application are described below with several embodiments as examples, and the same or similar concepts or processes may not be described in detail in some embodiments.
Fig. 2 is a flowchart illustrating a method for optimizing cell parameters according to an embodiment of the present application, where an execution subject according to the embodiment of the present application may be the second operator end 12 in the embodiment shown in fig. 1 or a server, a processor, and the like of the second operator end 12, and a specific execution subject may be determined according to an actual application scenario. As shown in fig. 2, the method comprises the steps of:
s201: and creating an intelligent contract on the first block chain according to a preset parameter optimization rule.
Optionally, the preset parameter optimization rule includes inputting a cell quality difference index of the second operator and outputting a corresponding optimization parameter; before creating the intelligent contract on the first blockchain according to the preset parameter optimization rule, the method further comprises the following steps: and determining a preset parameter optimization rule according to the historical poor cell index and the historical poor cell optimization data.
Specifically, the user side analyzes data according to historical poor cell index optimization data and combines the parameter conditions of the whole network to find the root cause of the poor index, and generates a cell parameter optimization rule according to methods such as an artificial expert experience rule or a machine learning algorithm mining index-cell parameter association rule and the like, for example, the change of a parameter value which is used aiming at a certain index difference.
Here, the preset parameter optimization rule according to the embodiment of the present application includes inputting a cell quality difference index of the second operator and outputting a corresponding optimization parameter, determining the preset parameter optimization rule according to a historical quality difference cell index and historical quality difference cell optimization data, and analyzing data to find a root cause of the difference in index by combining parameter conditions of the entire network, so as to obtain an accurate preset parameter optimization rule, thereby further improving accuracy of cell parameter optimization.
Here, the second operator side creates an intelligent contract on the first block chain, digitally writes the parameter optimization rule into the intelligent contract, compiles the intelligent contract, and deploys the intelligent contract.
In particular, the intelligent contract includes transactions, save mechanisms, and a complete state machine. After the affair and event information is loaded into the intelligent contract, the resource state of the intelligent contract is updated and the intelligent contract is triggered to judge the state machine. And if the trigger condition of the corresponding action in the automatic state machine is met, selecting the contract action to be automatically executed by the state machine according to the preset information.
For example, an etherhouse is an open-source underlying system based on a blockchain data structure that can implement intelligent contracts, and in the etherhouse system, a contract is a program that exists in a blockchain. An Etherhouse Virtual Machine (EVM) provides a graphics-rich scripting language (etherhouse Virtual Machine Code) that can execute written etherhouse contracts. The using side may establish an intelligent contract on the first blockchain using the etherhouse.
Specifically, the parameter optimization rule includes inputting the cell quality difference index of the user side and outputting the corresponding optimization parameter, further, the optimization parameter may be divided into a plurality of priorities, the parameter with the highest priority is used first, the parameter with the lower priority is used later, or a plurality of parameters are used jointly.
For example, parameter optimization rules can be written based on the Solidity language, with EVM as the operating environment. The consistency is designed to generate the EtherFang virtual machine code in a compiling mode, and the intelligent contract is deployed on the first block chain after being compiled and verified to be correct.
S202: and receiving a monitoring index of the cell to be optimized sent by the first operator terminal, and screening out the cell with poor quality.
The monitoring index of the cell to be optimized is the monitoring index of the cell in the use range of the second operator end, which is obtained by the first operator end through real-time monitoring.
Optionally, the quality-difference cell may be screened according to an average index, and if a difference between the monitoring index of the cell to be optimized and the average index is greater than a first preset difference, the cell is determined as the quality-difference cell, or the cell is screened according to a preset index, and if a difference between the monitoring index of the cell to be optimized and the preset index is greater than a second preset difference, the cell is determined as the quality-difference cell.
S203: and sending the indexes of the poor quality cells to the first block chain, and judging whether new poor quality cells exist or not through the first block chain.
S204: and if the new quality difference increasing cell exists, triggering an intelligent contract to execute to obtain a corresponding optimization parameter of the new quality difference increasing cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference increasing cell to a second block chain and a first operator terminal.
Specifically, the first block chain regularly checks whether a newly added quality difference cell exists on the current chain, if so, the intelligent contract is triggered to execute, and the index of the quality difference cell is input into the intelligent contract.
Optionally, triggering the intelligent contract to execute to obtain the corresponding optimization parameter of the new cell with poor quality, including:
and inputting the cell quality difference index of the new quality difference increasing cell into the first block chain, and controlling the first block chain to output the corresponding optimization parameter of the new quality difference increasing cell through an intelligent contract.
According to the embodiment of the application, the cell quality difference index of the newly increased quality difference cell is processed through the intelligent contract, the corresponding optimization parameter of the newly increased quality difference cell can be output, the accurate optimization parameter is obtained through automatic machine processing which cannot be manually interfered, the cell parameter is optimized, and the accuracy of cell parameter optimization is further improved.
S205: and receiving a parameter change instruction sent by the first operator terminal, and modifying the cell parameters according to the parameter change instruction.
The embodiment of the application aims at the use side of the co-established shared cell, an intelligent contract is established on a first block chain according to a preset parameter optimization rule, the use side realizes the right of requiring the construction side to change cell parameters according to the scheme of the use side through an intelligent contract technology, so that the construction side carries out parameter change according to the optimization rule set by the intelligent contract, the intelligent contract is completely code-defined and executed, a completely automatic and manual intervention-incapable mode is realized, as long as the execution condition of the intelligent contract is triggered, the optimization parameters are automatically output to initiate a modification request to the construction side, errors caused by manual operation are avoided, as the data of the block chain cannot be modified, the modified parameters are legal and stable, the transparency of information between an operator at the construction side and an operator at the use side is improved, the accuracy of cell parameter optimization is improved, and as the intelligent contract is completely code-defined and executed, the method realizes a completely automatic adjustment and optimization mode, and improves the efficiency of cell parameter optimization.
Fig. 3 is a flowchart illustrating another cell parameter optimization method provided in the embodiment of the present application, where an execution subject in the embodiment of the present application may be the first operator terminal 11 in the embodiment shown in fig. 1 or a server, a processor, and the like of the first operator terminal 11, and a specific execution subject may be determined according to an actual application scenario. As shown in fig. 3, the method comprises the steps of:
s301: and acquiring a monitoring index of the cell to be optimized.
Optionally, the monitoring index of the cell to be optimized may be obtained according to daily traffic data.
S302: and sending the monitoring index of the cell to be optimized to a second operator terminal.
The second operator end screens out the poor quality cell according to the monitoring index, sends the poor quality cell index of the poor quality cell to the first block chain, and judges whether a new poor quality cell exists or not through the first block chain; if a new quality-increasing poor cell exists, triggering an intelligent contract to execute;
s303: and receiving the quality difference cell index and the corresponding optimization parameter sent by the second operator terminal.
And the corresponding optimization parameters are obtained after the second operator end triggers the intelligent contract to execute.
S304: and sending a parameter change instruction to the second operator terminal according to the new quality-difference-added cell index and the corresponding optimization parameter, so that the second operator terminal modifies the cell parameter according to the parameter change instruction.
Optionally, sending a parameter change instruction to the second operator according to the poor cell index and the corresponding optimization parameter, where the parameter change instruction includes:
inquiring whether the quality difference cell indexes and corresponding optimization parameters of the newly added quality difference cells exist on the second block chain;
if yes, the second operator side sends a parameter change instruction;
if not, an optimization request abandon instruction is generated.
Specifically, after the acceptance side receives the indexes and the optimized parameters of the poor quality cell, the network optimization personnel log in the network management system to change the optimized parameters corresponding to the poor quality cell of the use side.
Specifically, after receiving the request for changing the parameters of the cell with poor quality on the use side, the network management system on the establishment side cannot confirm whether the request is authorized on the use side or whether the personnel on the establishment side changes freely, so as to verify whether the second block chain has the corresponding cell with poor quality and the optimized parameters, if so, the parameter change command is executed, and if not, the request is not abandoned for the request for changing the parameters of the cell.
Here, before sending the parameter change instruction, the establishment side in the embodiment of the present application needs to first verify whether the second block chain has the corresponding poor cell index and the optimized parameter, if yes, execute the parameter change instruction, and if not, abandon and do not process the cell optimization request, thereby further preventing the occurrence of the situation of illegally tampering the cell parameter, and improving the accuracy and stability of cell parameter optimization.
Aiming at the construction side of the co-constructed shared cell, when a parameter change instruction is issued by the use side to modify the parameters, the embodiment of the application needs to firstly acquire the indexes of the poor quality cell and the corresponding optimized parameters sent by the use side, namely the second operator side, the indexes and the parameters can be understood as a modified parameter application request sent by the use side, the construction side can modify the parameters after actively proposing the application, and the real data of the use side and the optimized parameters after accurate processing are combined, so that the accuracy, stability and efficiency of cell parameter optimization are improved, and the condition of illegally tampering the cell parameters is effectively prevented.
It should be understood that some concepts and characteristics described in the first operator side and some concepts and characteristics described in the second operator side are all applicable to the cell parameter optimization method for interaction between the terminal and the server, and for brevity, no detailed description is given here.
Fig. 4 is a schematic flowchart of another cell parameter optimization method provided in the embodiment of the present application, and as shown in fig. 4, the method includes:
s401: and the second operator end creates an intelligent contract on the first block chain according to a preset parameter optimization rule.
S402: the first operator terminal obtains the monitoring index of the cell to be optimized.
S403: and the first operator terminal sends the monitoring index of the cell to be optimized to the second operator terminal.
S404: and screening out the poor cell by the second operator.
S405: and the second operator terminal sends the indexes of the poor quality cells to the first block chain and judges whether new poor quality cells exist or not through the first block chain.
S406: and if the new quality-difference-increasing cell exists, the second operator end triggers an intelligent contract to execute to obtain the corresponding optimization parameter of the new quality-difference-increasing cell.
S407: and the second operator terminal sends the quality difference cell indexes and the corresponding optimization parameters of the new quality difference cell to the second block chain and the first operator terminal.
S408: and the first operator terminal sends a parameter change instruction to the second operator terminal according to the new quality-difference-increasing cell index and the corresponding optimization parameter.
S409: and the second operator end receives the parameter change instruction sent by the first operator end and modifies the cell parameters according to the parameter change instruction.
Corresponding to the cell parameter optimization method in the foregoing embodiment, fig. 5 is a schematic structural diagram of a cell parameter optimization device provided in the embodiment of the present application. For convenience of explanation, only portions related to the embodiments of the present application are shown. Fig. 5 is a schematic structural diagram of a cell parameter optimization apparatus provided in an embodiment of the present application, where the cell parameter optimization apparatus includes: a creation module 501, a first processing module 502, a second processing module 503, a third processing module 504 and a fourth processing module 505. The cell parameter optimization apparatus may be the first operator side itself, or a chip or an integrated circuit that implements the functions of the first operator side. Here, it should be noted that the division of the creating module 501, the first processing module 502, the second processing module 503, the third processing module 504, and the fourth processing module 505 is only a division of logical functions, and the two may be integrated or independent physically.
The creating module is used for creating an intelligent contract on the first block chain according to a preset parameter optimization rule;
the first processing module is used for receiving the monitoring index of the cell to be optimized sent by the first operator terminal and screening out the poor cell;
the second processing module is used for sending the indexes of the poor quality cells to the first block chain and judging whether new poor quality cells exist or not through the first block chain;
the third processing module is used for triggering the intelligent contract to execute if a new quality difference increasing cell exists, obtaining a corresponding optimization parameter of the new quality difference increasing cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference increasing cell to the second block chain and the first operator terminal;
and the fourth processing module is used for receiving the parameter change instruction sent by the first operator terminal and modifying the cell parameters according to the parameter change instruction.
Optionally, the preset parameter optimization rule includes inputting a cell quality difference index of the second operator and outputting a corresponding optimization parameter;
before the creating module creates the intelligent contract on the first block chain according to the preset parameter optimization rule, the apparatus further includes:
and the determining module is used for determining a preset parameter optimization rule according to the historical poor cell index and the historical poor cell optimization data.
Optionally, the third processing module is specifically configured to input the cell quality difference index of the newly added quality difference cell to the first block chain, and control the first block chain to output the corresponding optimization parameter of the newly added quality difference cell through an intelligent contract.
Fig. 6 is a schematic structural diagram of another cell parameter optimization apparatus according to an embodiment of the present application. The cell parameter optimization device comprises: an obtaining module 601, a fifth processing module 602, a receiving module 603, and a sixth processing module 604. The cell parameter optimization apparatus may be the first operator side itself, or a chip or an integrated circuit that implements the functions of the first operator side. Here, the division of the obtaining module 601, the fifth processing module 602, the receiving module 603, and the sixth processing module 604 is only a division of one logic function, and the two may be integrated or independent physically.
The system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring a monitoring index of a cell to be optimized;
the fifth processing module is used for sending the monitoring index of the cell to be optimized to the second operator end, so that the second operator end screens out the poor quality cell according to the monitoring index, sends the poor quality cell index of the poor quality cell to the first block chain, and judges whether a new poor quality cell exists or not through the first block chain; if a new quality-increasing poor cell exists, triggering an intelligent contract to execute;
the receiving module is used for receiving the quality difference cell indexes and the corresponding optimization parameters sent by the second operator terminal, wherein the corresponding optimization parameters are obtained after the second operator terminal triggers the intelligent contract to execute;
and the sixth processing module is used for sending a parameter change instruction to the second operator terminal according to the new quality-difference-added cell index and the corresponding optimization parameter, so that the second operator terminal modifies the cell parameter according to the parameter change instruction.
Optionally, the sixth processing module is specifically configured to:
inquiring whether the quality difference cell indexes and corresponding optimization parameters of the newly added quality difference cells exist on the second block chain;
if yes, the second operator side sends a parameter change instruction;
if not, an optimization request abandon instruction is generated.
Fig. 7 is a schematic structural diagram of a cell parameter optimization device according to an embodiment of the present application. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not limiting to the implementations of the present application described and/or claimed herein.
As shown in fig. 7, the cell parameter optimization apparatus includes: a processor 701 and a memory 702, each connected to each other using a different bus, and may be mounted on a common motherboard or in other manners as needed. The processor 701 may process instructions for execution within the cell parameter optimization device, including instructions for graphical information stored in or on a memory for display on an external input/output apparatus (such as a display device coupled to an interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. In fig. 7, one processor 701 is taken as an example.
The memory 702 serves as a non-transitory computer readable storage medium, and may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method of the cell parameter optimization apparatus in the embodiment of the present application (for example, the creating module 501, the first processing module 502, the second processing module 503, the third processing module 504, and the fourth processing module 505 shown in fig. 5). The processor 701 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 702, that is, the method of implementing the cell parameter optimization apparatus in the above method embodiments.
The cell parameter optimizing device may further include: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703 and the output device 704 may be connected by a bus or other means, and fig. 7 illustrates an example of a connection by a bus.
The input device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the cell parameter optimization apparatus, such as a touch screen, a keypad, a mouse, or a plurality of mouse buttons, a trackball, a joystick, or the like. The output means 704 may be an output device such as a display device of the cell parameter optimization device. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
The cell parameter optimization device in the embodiment of the present application may be configured to execute the technical solutions in the method embodiments of the present application, and the implementation principle and the technical effect are similar, which are not described herein again.
An embodiment of the present application further provides a computer-readable storage medium, where a computer executable instruction is stored in the computer-readable storage medium, and when the computer executable instruction is executed by a processor, the computer executable instruction is used to implement any one of the above-mentioned cell parameter optimization methods.
An embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program is configured to implement any one of the cell parameter optimization methods described above.
An embodiment of the present application further provides a cell parameter optimization device, including: processors, input devices, output devices, and memories, each interconnected using a different bus, and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the cell parameter optimization device, including instructions for graphical information stored in or on the memory for display on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired.
The implementation of the processor, the memory, the input device, and the output device of the cell parameter optimization device is similar to that of the terminal, and is not described herein again.
The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method of the cell parameter optimization apparatus in the embodiments of the present application (for example, the obtaining module 601, the fifth processing module 602, the receiving module 603, and the sixth processing module 604 shown in fig. 6). The processor executes various functional applications and data processing of the cell parameter optimization device by executing non-transitory software programs, instructions and modules stored in the memory, that is, the method of the cell parameter optimization device in the above method embodiment is implemented.
The cell parameter optimization device in the embodiment of the present application may be configured to execute the technical solutions in the method embodiments of the present application, and the implementation principle and the technical effect are similar, which are not described herein again.
An embodiment of the present application further provides a computer-readable storage medium, where a computer executable instruction is stored in the computer-readable storage medium, and when the computer executable instruction is executed by a processor, the computer executable instruction is used to implement any one of the above-mentioned cell parameter optimization methods.
An embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program is configured to implement any one of the cell parameter optimization methods described above.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for optimizing cell parameters, comprising:
creating an intelligent contract on the first block chain according to a preset parameter optimization rule;
receiving a monitoring index of a cell to be optimized sent by a first operator terminal, and screening out a cell with poor quality;
sending the indexes of the poor quality cells to the first block chain, and judging whether new poor quality cells exist or not through the first block chain;
if the new quality difference increasing cell exists, triggering an intelligent contract to execute to obtain a corresponding optimization parameter of the new quality difference increasing cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference increasing cell to a second block chain and the first operator terminal;
and receiving a parameter change instruction sent by the first operator terminal, and modifying the cell parameters according to the parameter change instruction.
2. The method according to claim 1, wherein the preset parameter optimization rule includes inputting a cell quality difference index of the second operator terminal and outputting a corresponding optimization parameter;
before the creating of the intelligent contract on the first blockchain according to the preset parameter optimization rule, the method further includes:
and determining a preset parameter optimization rule according to the historical poor cell index and the historical poor cell optimization data.
3. The method of claim 2, wherein triggering the smart contract to execute to obtain the corresponding optimized parameters of the new cell with poor quality comprises:
and inputting the cell quality difference index of the new quality difference increasing cell into a first block chain, and controlling the first block chain to output the corresponding optimization parameter of the new quality difference increasing cell through the intelligent contract.
4. A method for optimizing cell parameters, comprising:
acquiring a monitoring index of a cell to be optimized;
sending the monitoring index of the cell to be optimized to a second operator end so that the second operator end screens out a poor quality cell according to the monitoring index, sending the poor quality cell index of the poor quality cell to a first block chain, and judging whether a new poor quality cell exists or not through the first block chain; if a new quality-increasing poor cell exists, triggering an intelligent contract to execute;
receiving a quality difference cell index and a corresponding optimization parameter sent by the second operator end, wherein the corresponding optimization parameter is obtained after the second operator end triggers an intelligent contract to execute;
and sending a parameter change instruction to the second operator terminal according to the new quality-difference-added cell index and the corresponding optimization parameter, so that the second operator terminal modifies the cell parameter according to the parameter change instruction.
5. The method according to claim 4, wherein the sending a parameter change instruction to the second operator according to the poor quality cell indicator and the corresponding optimization parameter comprises:
inquiring whether the quality difference cell indexes and the corresponding optimization parameters of the new quality difference cell exist on a second block chain;
if yes, the second operator terminal sends a parameter change instruction;
if not, an optimization request abandon instruction is generated.
6. A cell parameter optimization apparatus, comprising:
the creating module is used for creating an intelligent contract on the first block chain according to a preset parameter optimization rule;
the first processing module is used for receiving the monitoring index of the cell to be optimized sent by the first operator terminal and screening out the poor cell;
the second processing module is used for sending the indexes of the poor quality cells to the first block chain and judging whether new poor quality cells exist or not through the first block chain;
the third processing module is used for triggering the intelligent contract to execute if a new quality difference cell exists, obtaining a corresponding optimization parameter of the new quality difference cell, and sending the quality difference cell index and the corresponding optimization parameter of the new quality difference cell to the second block chain and the first operator terminal;
and the fourth processing module is used for receiving the parameter change instruction sent by the first operator terminal and modifying the cell parameters according to the parameter change instruction.
7. A cell parameter optimization apparatus, comprising:
the acquisition module is used for acquiring the monitoring index of the cell to be optimized;
a fifth processing module, configured to send the monitoring index of the cell to be optimized to a second operator end, so that the second operator end screens out a quality difference cell according to the monitoring index, sends the quality difference cell index of the quality difference cell to a first block chain, and determines whether a new quality difference cell exists through the first block chain; if a new quality-increasing poor cell exists, triggering an intelligent contract to execute;
the receiving module is used for receiving the quality difference cell index and the corresponding optimization parameter sent by the second operator terminal, wherein the corresponding optimization parameter is obtained after the second operator terminal triggers the intelligent contract to execute;
and the sixth processing module is used for sending a parameter change instruction to the second operator terminal according to the new quality-enhanced poor cell index and the corresponding optimization parameter, so that the second operator terminal modifies the cell parameter according to the parameter change instruction.
8. A cell parameter optimization device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the cell parameter optimization method of any one of claims 1 to 3, or 4 to 5.
9. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the cell parameter optimization method of any one of claims 1 to 3, or 4 to 5.
10. A computer program product comprising a computer program, wherein the computer program when executed by a processor implements the cell parameter optimization method of any of claims 1 to 3, or any of 4 to 5.
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