CN118042550B - 5G smart phone signal optimization method and system - Google Patents
5G smart phone signal optimization method and system Download PDFInfo
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Abstract
The invention discloses a 5G smart phone signal optimization method and a system, wherein the method comprises the following steps: predicting the required signal strength change condition and the actual signal change condition in a preset time period according to the historical monitoring data to obtain a first curve and a second curve; performing difference calculation on the first curve and the second curve to determine a first interval and a second interval; determining an abnormality reason of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score with the first early warning value and the second early warning value, and determining a signal optimization method of the first section; and when the first communication score of the current cell is smaller than the first early warning value, analyzing the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range, and performing frequency band switching or cell switching. According to the method, the signal optimization method is determined through the prediction data, the signal optimization is carried out through the corresponding triggering conditions, the signal searching frequency is reduced, and the signal stability is improved.
Description
Technical Field
The application relates to the technical field of communication, in particular to a 5G smart phone signal optimization method and system.
Background
With the wide application of 5G networks, the requirements of users on the signal quality and stability of smart phones are continuously improved. However, in actual use, the 5G signal is often attenuated and disturbed due to various environmental factors, such as building shielding, electromagnetic interference, etc.
When the handset is in an area with poor signal, the handset is usually required to search for surrounding wireless signal sources more frequently in order to ensure signal stability, a process called "inter-cell search". This process itself consumes additional battery power and increases the power consumption of the handset. In the process of searching signals with high intensity, the antenna of the mobile phone can be continuously adjusted to obtain the best signal receiving effect. These adjustment processes also require a large amount of power consumption.
Therefore, the prior art has defects, and improvement is needed.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a method and a system for optimizing a 5G smart phone signal, which predict a required signal strength and an actual signal strength of a user in a process of using the mobile phone through historical monitoring data, and perform frequency band switching and cell switching according to a difference value between the required signal strength and the actual signal strength, so as to optimize the mobile phone signal.
The first aspect of the invention provides a 5G smart phone signal optimization method, which comprises the following steps:
analyzing according to historical monitoring data of a user, and predicting the change condition of the required signal strength and the actual signal change condition in a preset time period to obtain a first curve and a second curve;
calculating the difference value of the first curve and the second curve, and determining a first interval and a second interval which need to be subjected to signal optimization according to the obtained difference value curve;
Determining an abnormality cause of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining a signal optimization method of the first section;
And calculating a first communication score of the current cell according to the mobile phone signal information, and when the first communication score of the current cell is smaller than a first early warning value, performing frequency band switching or cell switching by analyzing the communication scores of cells corresponding to other frequency bands in the current cell and other base stations in a searchable range.
In this scheme, according to user's historical monitoring data analysis, the required signal strength change condition and actual signal change condition are predicted in the preset time quantum, obtain first curve and second curve, include:
Predicting the user behavior data in a preset time period according to the historical behavior data of the user to obtain predicted behavior data;
determining a required signal strength change curve in the preset time period according to the predicted behavior data to obtain a first curve;
predicting the user movement data in a preset time period according to the historical movement data and the current movement route of the user to obtain predicted movement data and a predicted movement route;
And determining the actual signal intensity change condition in a preset time period according to the predicted moving route and the environmental data to obtain a second curve.
In this scheme, the difference value calculation is performed on the first curve and the second curve, and a first interval and a second interval needing signal optimization are determined according to the obtained difference value curve, including:
the first curve, the second curve and the difference curve are led into the same coordinate system for display;
according to the difference curve, analyzing, marking a curve section with a value larger than the maximum value of a first preset threshold section as a first section, and marking a curve section with a value smaller than the minimum value of the first preset threshold section as a second section;
and filtering the first interval and the second interval with interval lengths smaller than the first preset time.
In this solution, the determining, according to the second curve, an abnormality cause of the first section, calculating an average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and second early warning value, and determining a signal optimization method for the first section, including:
Extracting a second curve part in the first interval, and analyzing by combining with environmental data of a predicted moving route to determine an abnormality reason;
predicting communication influence parameters in the first interval according to the abnormality reasons, and calculating an average communication score of the first interval by combining the average signal strength of the first interval;
when the average communication score is larger than a first early warning value, no processing is performed;
When the average communication score is between the first early warning value and the second early warning value, selecting to perform signal optimization according to the first communication score;
and when the average communication score is smaller than the second early warning value, signal optimization is performed when the time period corresponding to the first interval is entered, and the current cell is switched to the cell of the alternative base station.
In this scheme, still include:
Determining the minimum communication influence parameter according to the predicted behavior data of the first interval;
calculating a lowest average communication score of a first interval through the lowest communication influence parameter and the average signal strength of the first interval;
And determining a first early warning value and a second early warning value according to the lowest average communication score.
In this scheme, still include:
Acquiring mobile phone signal information through a signal detection module arranged in the mobile phone;
The mobile phone signal information at least comprises signal strength, error rate, signal to noise ratio and mobile phone signal transmitting power.
In this scheme, when the first communication score of the current cell is smaller than the first early warning value, the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range are analyzed to perform frequency band switching or cell switching, including:
calculating first communication scores of other frequency bands in the current cell, and determining other frequency bands with the highest first communication scores;
Comparing the highest first communication score with the first communication score of the current use frequency band, and if the highest first communication score is larger than the first communication score, replacing the current use frequency band with other frequency bands with the highest first communication scores;
If the frequency range is smaller than or not in other frequency ranges, adjusting the signal frequency range to send test information to the surrounding;
Determining other base stations which can be searched at the current position according to the received feedback information, calculating a first communication score of each other base station, taking other base stations with the first communication score larger than a first early warning value as alternative base stations,
If no alternative base station exists, increasing signal transmitting power until at least one alternative base station is determined;
and when the first communication score of the current cell is smaller than the second early warning value, calculating the first communication score of the alternative base station again, and switching the current cell into the cell corresponding to the alternative base station with the highest first communication score.
In this scheme, still include:
Adjusting the signal transmitting power in a time period corresponding to the second interval, and calculating a second communication score of each base station in the signal receiving range;
Filtering the base stations with the second communication score smaller than a second preset threshold value;
stopping adjusting the signal transmitting power when the signal transmitting power is smaller than a third preset threshold value or the number of base stations of other base stations in the signal receiving range is smaller than a fourth preset threshold value;
Calculating a first communication score of a cell corresponding to each other base station based on feedback data received by the mobile phone;
and switching the current cell to a cell corresponding to the base station with the highest communication score.
The second aspect of the present invention provides a 5G smart phone signal optimization system, comprising:
The data analysis module is used for analyzing according to historical monitoring data of a user, predicting the change condition of the required signal strength and the actual signal change condition in a preset time period, and obtaining a first curve and a second curve;
the difference calculation module is used for calculating the difference between the first curve and the second curve and determining a first interval and a second interval which need to be subjected to signal optimization according to the obtained difference curve;
the first signal optimization module is used for determining the abnormal reason of the first section according to the second curve, calculating the average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining a signal optimization method of the first section;
And the second signal optimization module is used for calculating a first communication score of the current cell according to the mobile phone signal information, and carrying out frequency band switching or cell switching by analyzing the communication scores of cells corresponding to other frequency bands in the current cell and other base stations in the searchable range when the first communication score of the current cell is smaller than a first early warning value.
A third aspect of the present invention provides a computer readable storage medium comprising a 5G smartphone signal optimization method program which, when executed by a processor, implements the steps of a 5G smartphone signal optimization method as described above.
The invention discloses a 5G smart phone signal optimization method and a system, wherein the method comprises the following steps: predicting the required signal strength change condition and the actual signal change condition in a preset time period according to the historical monitoring data to obtain a first curve and a second curve; performing difference calculation on the first curve and the second curve to determine a first interval and a second interval; determining an abnormality reason of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score with the first early warning value and the second early warning value, and determining a signal optimization method of the first section; and when the first communication score of the current cell is smaller than the first early warning value, analyzing the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range, and performing frequency band switching or cell switching. According to the method, the signal optimization method is determined through the prediction data, the signal optimization is carried out through the corresponding triggering conditions, the signal searching frequency is reduced, and the signal stability is improved.
Drawings
Fig. 1 shows a flowchart of a 5G smart phone signal optimization method provided by the present invention;
FIG. 2 is a flow chart illustrating a first curve and a second curve determination method provided by the present invention;
FIG. 3 is a flowchart of a signal optimization method of a first interval provided by the present invention;
Fig. 4 shows a block diagram of a 5G smart phone signal optimization system provided by the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flowchart of a 5G smart phone signal optimization method provided by the present invention.
As shown in fig. 1, the invention discloses a 5G smart phone signal optimization method, which comprises the following steps:
S102, analyzing according to historical monitoring data of a user, and predicting the change condition of the required signal strength and the actual signal change condition in a preset time period to obtain a first curve and a second curve;
S104, performing difference calculation on the first curve and the second curve, and determining a first interval and a second interval which need to be subjected to signal optimization according to the obtained difference curves;
S106, determining an abnormality reason of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining a signal optimization method of the first section;
S108, calculating a first communication score of the current cell according to the mobile phone signal information, and when the first communication score of the current cell is smaller than a second early warning value, analyzing the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range to perform frequency band switching or cell switching.
According to the embodiment of the invention, the preset time period is set by the system, the system divides the mobile phone use time into a plurality of preset time periods according to parameters such as preset time intervals, mobile phone frequency of users in unit time, average mobile phone duration of users in unit time and the like, the predicted behavior data and the predicted movement data of the users in each preset time period are predicted through historical monitoring data, the signal intensity change condition required by the users to conduct the behaviors of the users in the current preset time period is determined through the predicted behavior data, the actual signal intensity change condition in the current preset time period is determined through the predicted movement data and the environmental data, and the signal intensity change condition is respectively represented through a first curve and a second curve.
And determining a first interval and a second interval which need to be subjected to signal optimization by analyzing a difference curve obtained by calculating the difference value of the first curve and the second curve. Determining an abnormal reason that the actual signal strength possibly does not meet the required signal strength through a second curve part in the first section, presetting communication influence parameters of the first section through communication influence parameters under the same abnormal reason in the historical monitoring data, calculating an average communication score of the first section by combining the average signal strength of the first section, comparing the average communication score with a first early warning value and a second early warning value, and determining a signal optimization method of the first section. Meanwhile, the system performs signal verification on the current cell through a signal detection module built in the mobile phone, calculates a first communication score of the current cell according to base station feedback data, performs intra-cell frequency band switching or determines an alternative base station when the first communication score is smaller than a first early warning value, performs signal verification on the alternative base station when the first communication score is smaller than a second early warning value, and selects the alternative base station with the highest first communication score to perform cell switching. In addition, for the second interval part, the cell can be switched under the condition of ensuring the communication quality by reducing the signal transmitting power of the mobile phone, reducing the signal searching range, and achieving the purposes of reducing the energy consumption of the mobile phone and improving the standby time of the mobile phone.
Fig. 2 shows a flowchart of a first curve and a second curve determining method provided by the invention.
As shown in fig. 2, according to an embodiment of the present invention, analysis is performed according to historical monitoring data of a user, and a required signal intensity change condition and an actual signal change condition in a preset period of time are predicted, so as to obtain a first curve and a second curve, including:
s202, predicting user behavior data in a preset time period according to the historical behavior data of the user to obtain predicted behavior data;
S204, determining a required signal strength change curve in a preset time period according to the predicted behavior data to obtain a first curve;
s206, predicting the user movement data in a preset time period according to the historical movement data and the current movement route of the user to obtain predicted movement data and a predicted movement route;
S208, determining the actual signal intensity change condition in a preset time period according to the predicted moving route and the environmental data, and obtaining a second curve.
It should be noted that, the historical monitoring data of the user includes various monitoring data of the user in the process of using the mobile phone, including historical behavior data, historical movement data, and the like. Predicting predicted behavior data of a user when the mobile phone is used each time by using a neural network model and the like, simulating signal strength changes required by different using behaviors in the using process of the mobile phone according to the obtained predicted behavior data, and drawing a first curve by using the lowest required signal. The behavior data may be, among other things, making a voice call, video call, browsing web pages, watching a series, brushing a video, etc. The predicted behavior data of each preset time period can be predicted by using the mobile phone service time, the behavior data of the current mobile phone in the service state, the position coordinates of the user and the like. And predicting the movement data of the current user in a preset time period according to the recorded current movement route of the user in the current movement process and the historical movement data of the current user and other users in the current region for the user in the movement state, such as riding a vehicle, so as to obtain a predicted movement route, and determining the actual signal strength change condition in the preset time period based on the historical monitoring data corresponding to the predicted movement route so as to obtain a second curve. If the user is in a non-moving state, the second curve defaults to a straight line with stable signal intensity under the condition of not being interfered by weather or equipment.
According to the embodiment of the invention, difference calculation is performed on the first curve and the second curve, and a first interval and a second interval which need signal optimization are determined according to the obtained difference curve, comprising:
the first curve, the second curve and the difference curve are led into the same coordinate system for display;
According to the difference curve, a curve section with a value larger than the maximum value of a first preset threshold section is marked as a first section, and a curve section with a value smaller than the minimum value of the first preset threshold section is marked as a second section;
and filtering the first interval and the second interval with interval lengths smaller than the first preset time.
The first curve, the second curve and the difference curve are curves formed by a coordinate system with time as a horizontal axis and signal intensity as a vertical axis, and the first curve, the second curve and the difference curve are led into the same coordinate system and are distinguished by different colors. Analyzing a difference curve based on a first preset threshold interval set by the system, and marking the signal strength which is required by the actual signal strength and does not meet the user behavior as a first interval when the numerical value of the difference curve is larger than the maximum value of the first preset threshold interval; when the numerical value of the difference curve is in a first preset threshold value interval, the actual signal strength basically meets the signal strength required by the user behavior, and no mark is made; when the value of the difference curve is smaller than the minimum value of the first preset threshold interval, the actual signal strength is overabundant to meet the signal strength required by the user behavior, and the signal strength is marked as a second interval. The first section and the second section obtained by marking each comprise a first curve part, a second curve part and a difference curve part.
In addition, in order to avoid frequent signal searching of the mobile phone when the signal is poor and abnormal power consumption of the mobile phone, the first section and the second section with section lengths smaller than the first preset time are filtered. The system can set corresponding first preset time for the important grades of different user behaviors according to the predicted behavior data of the user, for example, the first time of user behaviors with higher important grades such as voice phones, video phones and the like is shortened.
Fig. 3 shows a flowchart of a signal optimization method of the first interval provided by the present invention.
As shown in fig. 3, according to an embodiment of the present invention, an anomaly cause of a first section is determined according to a second curve, an average communication score of the first section is calculated, the average communication score of the first section is compared with a corresponding first early warning value and second early warning value, and a signal optimization method for the first section is determined, including:
s302, extracting a second curve part in the first section, and analyzing by combining with environmental data of a predicted moving route to determine an abnormality reason;
s304, predicting communication influence parameters in the first interval according to the abnormality reason, and calculating an average communication score of the first interval by combining the average signal strength of the first interval;
s306, when the average communication score is larger than the first early warning value, no processing is performed;
s308, selecting to perform signal optimization according to the first communication score when the average communication score is between the first early warning value and the second early warning value;
and S310, when the average communication score is smaller than the second early warning value, signal optimization is performed when the time period corresponding to the first interval is entered, and the current cell is switched to the cell of the alternative base station.
It should be noted that, according to the signal intensity change condition of the second curve portion and the environmental data around the predicted moving route, the abnormal reasons that influence the fluctuation of the signal intensity occurs can be determined, including building shielding, terrain influence, weather interference, and excessive distance between the base stations, etc., so that the signal transmission is abnormal, and the expected signal intensity and transmission effect cannot be achieved. The method comprises the steps of analyzing the abnormal reasons by using a neural network model and the like, and screening communication influence parameters under the same or similar abnormal conditions in historical monitoring data, so that the communication influence parameters in a first interval are predicted, wherein the communication influence parameters comprise various factors which influence the communication quality of a mobile phone, such as error rate, signal to noise ratio and the like. And carrying out weighted calculation on the average value and the average signal intensity of each communication influence parameter in the first interval, and determining the average communication score of the first interval. And comparing the average communication score of the first interval with the corresponding first early warning value and second early warning value, and formulating a corresponding signal optimization scheme. The first early warning value indicates that the signal strength is weaker, and a certain influence may exist on the user behavior; the second early warning value indicates that the signal strength is poor, and normal operation of the user behavior cannot be met.
According to an embodiment of the present invention, further comprising:
Determining the minimum communication influence parameter according to the predicted behavior data of the first interval;
Calculating a lowest average communication score of the first interval by the lowest communication influence parameter and the average signal strength of the first interval;
And determining a first early warning value and a second early warning value according to the lowest average communication score.
It should be noted that, the first early warning value and the second early warning value are determined according to the minimum communication influence parameter required by the predicted behavior data in the first interval, and the minimum communication influence parameter is the minimum requirement of the predicted behavior data under the normal running condition. And carrying out weighted calculation on the average value and the average signal intensity of each lowest communication influence parameter in the first interval, and determining the lowest average communication score of the first interval. And then determining a first early warning value and a second early warning value through a system preset condition on the basis of the lowest average communication score, such as multiplying the lowest average communication score by a system preset ratio and adding the system preset value. The first early warning value is larger than the second early warning value, and the second early warning value is larger than the lowest average communication score.
According to an embodiment of the present invention, further comprising:
Acquiring mobile phone signal information through a signal detection module arranged in the mobile phone;
The mobile phone signal information at least comprises signal strength, bit error rate, signal to noise ratio and mobile phone signal transmitting power.
The signal detection module comprises a sending module and a receiving module, wherein the sending module is used for sending verification information to the base station corresponding to the current cell, the receiving module is used for receiving feedback information fed back by the base station, and the mobile phone signal information is determined by analyzing various parameters of the verification information and the feedback information.
According to the embodiment of the invention, when the first communication score of the current cell is smaller than the second early warning value, the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range are analyzed to perform frequency band switching or cell switching, and the method comprises the following steps:
calculating first communication scores of other frequency bands in the current cell, and determining other frequency bands with the highest first communication scores;
Comparing the highest first communication score with the first communication score of the current frequency band, and if the highest first communication score is larger than the first communication score, replacing the current frequency band with other frequency bands with the highest first communication scores;
If the frequency range is smaller than or not in other frequency ranges, adjusting the signal frequency range to send test information to the surrounding;
Determining other base stations which can be searched at the current position according to the received feedback information, calculating a first communication score of each other base station, taking other base stations with the first communication score larger than a first early warning value as alternative base stations,
If no alternative base station exists, increasing signal transmitting power until at least one alternative base station is determined;
and when the first communication score of the current cell is smaller than the second early warning value, calculating the first communication score of the alternative base station again, and switching the current cell into the cell corresponding to the alternative base station with the highest first communication score.
When the first communication score is smaller than the first early warning value, judging whether other connected frequency bands exist in the current cell, sending verification information to a base station corresponding to the current cell by switching the other frequency bands, calculating the first communication score of each other frequency band according to the received feedback information, and switching the currently used frequency band to the frequency band with the higher first communication score, so that the purpose of improving the signal strength is achieved. When the first communication score of the other frequency band or the currently used frequency band is the highest first communication score, the signal strength cannot be improved by adjusting the frequency band, test information is sent to the surrounding by using a plurality of preset frequency bands of the system, signal searching is carried out, whether other searchable base stations exist at the current position is determined, the second communication score of the other base stations is determined by sending verification information to the other base stations, and therefore the alternative base stations are determined. When the first communication score of the current cell is between the first early warning value and the second early warning value, the first communication score indicates that certain influence is possibly caused on the user behavior, whether cell switching is required to be performed or not is selected according to actual conditions, signal searching is not required to be performed again after the alternative base station is determined, and the conditions such as signal strength, error rate and signal to noise ratio of the alternative base station are only required to be verified when the cell switching is determined, so that signal searching times under the condition of weak signals are reduced, and mobile phone energy consumption is reduced.
According to an embodiment of the present invention, further comprising:
Adjusting the signal transmitting power in a time period corresponding to the second interval, and calculating a second communication score of each base station in the signal receiving range;
Filtering the base stations with the second communication score smaller than a second preset threshold value;
stopping adjusting the signal transmitting power when the signal transmitting power is smaller than a third preset threshold value or the number of base stations of other base stations in the signal receiving range is smaller than a fourth preset threshold value;
Calculating a first communication score of a cell corresponding to each other base station based on feedback data received by the mobile phone;
and switching the current cell to a cell corresponding to the base station with the highest communication score.
It should be noted that, under the condition of ensuring normal communication, the smaller the transmitting power of the mobile phone, the longer the standby time, and the higher the data transmission stability; the smaller the adjacent channel and co-channel interference is, the higher the data transmission stability is. Under the condition that the actual signal strength is excessive to meet the signal strength required by the user behavior, the signal transmitting power of the mobile phone can be reduced by switching cells, so that the standby time of the mobile phone is prolonged.
The second communication score is obtained by carrying out weighted calculation according to the mobile phone signal transmitting power of the mobile phone in the current cell, the cell channel use data, the adjacent channel interference data and the co-channel interference data. The signal stability of each base station in the signal receiving range can be determined through the second communication score, the signal transmitting power is gradually reduced under the condition that the signal stability of the system is ensured, the base stations in the signal receiving range are screened, and when the signal transmitting power and the number of the base stations of other base stations in the signal receiving range trigger the system preset condition, the adjustment of the signal transmitting power is stopped. And calculating the first communication score of each remaining other base station, and selecting a cell corresponding to the base station with the highest communication score to perform cell switching, so that the generation power of mobile phone signals is reduced on the basis of ensuring the communication quality, and the aim of saving energy consumption is achieved. In addition, when the required signal strength is lower, the base stations such as the 4G signal and the like can be added into the queues of other base stations, and under the condition of meeting the signal strength requirement, the 5G signal is switched into the 4G signal, so that the purpose of reducing the energy consumption is achieved. Wherein the second preset threshold, the third preset threshold and the fourth preset threshold are set by a person skilled in the art according to actual requirements.
Fig. 4 shows a block diagram of a 5G smart phone signal optimization system provided by the present invention.
As shown in fig. 4, a second aspect of the present invention provides a 5G smart phone signal optimization system, including:
The data analysis module is used for analyzing according to historical monitoring data of a user, predicting the change condition of the required signal strength and the actual signal change condition in a preset time period, and obtaining a first curve and a second curve;
The difference calculation module is used for carrying out difference calculation on the first curve and the second curve, and determining a first interval and a second interval which need to be subjected to signal optimization according to the obtained difference curves;
the first signal optimization module is used for determining the abnormal reason of the first interval according to the second curve, calculating the average communication score of the first interval, comparing the average communication score of the first interval with the corresponding first early warning value and second early warning value, and determining the signal optimization method of the first interval;
And the second signal optimization module is used for calculating a first communication score of the current cell according to the mobile phone signal information, and carrying out frequency band switching or cell switching by analyzing the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range when the first communication score of the current cell is smaller than the first early warning value.
A third aspect of the present invention provides a computer readable storage medium comprising a 5G smartphone signal optimization method program which, when executed by a processor, implements the steps of a 5G smartphone signal optimization method as described above.
The invention discloses a 5G smart phone signal optimization method and a system, wherein the method comprises the following steps: predicting the required signal strength change condition and the actual signal change condition in a preset time period according to the historical monitoring data to obtain a first curve and a second curve; performing difference calculation on the first curve and the second curve to determine a first interval and a second interval; determining an abnormality reason of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score with the first early warning value and the second early warning value, and determining a signal optimization method of the first section; and when the first communication score of the current cell is smaller than the first early warning value, analyzing the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range, and performing frequency band switching or cell switching. According to the method, the signal optimization method is determined through the prediction data, the signal optimization is carried out through the corresponding triggering conditions, the signal searching frequency is reduced, and the signal stability is improved.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (5)
1. The 5G smart phone signal optimization method is characterized by comprising the following steps of:
analyzing according to historical monitoring data of a user, and predicting the change condition of the required signal strength and the actual signal change condition in a preset time period to obtain a first curve and a second curve;
calculating the difference value of the first curve and the second curve, and determining a first interval and a second interval which need to be subjected to signal optimization according to the obtained difference value curve;
Determining an abnormality cause of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining a signal optimization method of the first section;
calculating a first communication score of a current cell according to mobile phone signal information, and when the first communication score of the current cell is smaller than a first early warning value, performing frequency band switching or cell switching by analyzing communication scores of cells corresponding to other frequency bands in the current cell and other base stations in a searchable range;
Analyzing according to historical monitoring data of a user, predicting the change condition of the required signal intensity and the actual signal change condition in a preset time period, and obtaining a first curve and a second curve, wherein the method comprises the following steps:
Predicting the user behavior data in a preset time period according to the historical behavior data of the user to obtain predicted behavior data;
determining a required signal strength change curve in the preset time period according to the predicted behavior data to obtain a first curve;
predicting the user movement data in a preset time period according to the historical movement data and the current movement route of the user to obtain predicted movement data and a predicted movement route;
Determining the actual signal intensity change condition in a preset time period according to the predicted moving route and the environmental data to obtain a second curve;
The calculating the difference value of the first curve and the second curve, determining a first interval and a second interval needing signal optimization according to the obtained difference value curve, including:
the first curve, the second curve and the difference curve are led into the same coordinate system for display;
according to the difference curve, analyzing, marking a curve section with a value larger than the maximum value of a first preset threshold section as a first section, and marking a curve section with a value smaller than the minimum value of the first preset threshold section as a second section;
Filtering a first interval and a second interval with interval lengths smaller than a first preset time;
The method for optimizing the signal of the first section comprises the steps of determining an abnormality cause of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining the signal optimizing method of the first section, and comprises the following steps:
Extracting a second curve part in the first interval, and analyzing by combining with environmental data of a predicted moving route to determine an abnormality reason;
predicting communication influence parameters in the first interval according to the abnormality reasons, and calculating an average communication score of the first interval by combining the average signal strength of the first interval;
when the average communication score is larger than a first early warning value, no processing is performed;
When the average communication score is between the first early warning value and the second early warning value, selecting to perform signal optimization according to the first communication score;
when the average communication score is smaller than a second early warning value, signal optimization is carried out when a time period corresponding to a first interval is entered, and the current cell is switched to an alternative base station cell;
When the first communication score of the current cell is smaller than the first early warning value, the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range are analyzed to perform frequency band switching or cell switching, and the method comprises the following steps:
calculating first communication scores of other frequency bands in the current cell, and determining other frequency bands with the highest first communication scores;
Comparing the highest first communication score with the first communication score of the current use frequency band, and if the highest first communication score is larger than the first communication score, replacing the current use frequency band with other frequency bands with the highest first communication scores;
If the frequency range is smaller than or not in other frequency ranges, adjusting the signal frequency range to send test information to the surrounding;
Determining other base stations which can be searched at the current position according to the received feedback information, calculating a first communication score of each other base station, taking other base stations with the first communication score larger than a first early warning value as alternative base stations,
If no alternative base station exists, increasing signal transmitting power until at least one alternative base station is determined;
and when the first communication score of the current cell is smaller than the second early warning value, calculating the first communication score of the alternative base station again, and switching the current cell into the cell corresponding to the alternative base station with the highest first communication score.
2. The 5G smartphone signal optimization method of claim 1, further comprising:
Determining the minimum communication influence parameter according to the predicted behavior data of the first interval;
calculating a lowest average communication score of a first interval through the lowest communication influence parameter and the average signal strength of the first interval;
And determining a first early warning value and a second early warning value according to the lowest average communication score.
3. The 5G smartphone signal optimization method of claim 1, further comprising:
Acquiring mobile phone signal information through a signal detection module arranged in the mobile phone;
The mobile phone signal information at least comprises signal strength, error rate, signal to noise ratio and mobile phone signal transmitting power.
4. The 5G smartphone signal optimization method of claim 1, further comprising:
Adjusting the signal transmitting power in a time period corresponding to the second interval, and calculating a second communication score of each base station in the signal receiving range;
Filtering the base stations with the second communication score smaller than a second preset threshold value;
stopping adjusting the signal transmitting power when the signal transmitting power is smaller than a third preset threshold value or the number of base stations of other base stations in the signal receiving range is smaller than a fourth preset threshold value;
Calculating a first communication score of a cell corresponding to each other base station based on feedback data received by the mobile phone;
and switching the current cell to a cell corresponding to the base station with the highest communication score.
5. A 5G smart phone signal optimization system for implementing the 5G smart phone signal optimization method according to any one of claims 1-4, comprising:
The data analysis module is used for analyzing according to historical monitoring data of a user, predicting the change condition of the required signal strength and the actual signal change condition in a preset time period, and obtaining a first curve and a second curve;
the difference calculation module is used for calculating the difference between the first curve and the second curve and determining a first interval and a second interval which need to be subjected to signal optimization according to the obtained difference curve;
the first signal optimization module is used for determining the abnormal reason of the first section according to the second curve, calculating the average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining a signal optimization method of the first section;
The second signal optimization module is used for calculating a first communication score of the current cell according to the mobile phone signal information, and when the first communication score of the current cell is smaller than a first early warning value, the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range are analyzed to perform frequency band switching or cell switching;
Analyzing according to historical monitoring data of a user, predicting the change condition of the required signal intensity and the actual signal change condition in a preset time period, and obtaining a first curve and a second curve, wherein the method comprises the following steps:
Predicting the user behavior data in a preset time period according to the historical behavior data of the user to obtain predicted behavior data;
determining a required signal strength change curve in the preset time period according to the predicted behavior data to obtain a first curve;
predicting the user movement data in a preset time period according to the historical movement data and the current movement route of the user to obtain predicted movement data and a predicted movement route;
Determining the actual signal intensity change condition in a preset time period according to the predicted moving route and the environmental data to obtain a second curve;
The calculating the difference value of the first curve and the second curve, determining a first interval and a second interval needing signal optimization according to the obtained difference value curve, including:
the first curve, the second curve and the difference curve are led into the same coordinate system for display;
according to the difference curve, analyzing, marking a curve section with a value larger than the maximum value of a first preset threshold section as a first section, and marking a curve section with a value smaller than the minimum value of the first preset threshold section as a second section;
Filtering a first interval and a second interval with interval lengths smaller than a first preset time;
The method for optimizing the signal of the first section comprises the steps of determining an abnormality cause of the first section according to the second curve, calculating an average communication score of the first section, comparing the average communication score of the first section with a corresponding first early warning value and a corresponding second early warning value, and determining the signal optimizing method of the first section, and comprises the following steps:
Extracting a second curve part in the first interval, and analyzing by combining with environmental data of a predicted moving route to determine an abnormality reason;
predicting communication influence parameters in the first interval according to the abnormality reasons, and calculating an average communication score of the first interval by combining the average signal strength of the first interval;
when the average communication score is larger than a first early warning value, no processing is performed;
When the average communication score is between the first early warning value and the second early warning value, selecting to perform signal optimization according to the first communication score;
when the average communication score is smaller than a second early warning value, signal optimization is carried out when a time period corresponding to a first interval is entered, and the current cell is switched to an alternative base station cell;
When the first communication score of the current cell is smaller than the first early warning value, the communication scores of the cells corresponding to other frequency bands in the current cell and other base stations in the searchable range are analyzed to perform frequency band switching or cell switching, and the method comprises the following steps:
calculating first communication scores of other frequency bands in the current cell, and determining other frequency bands with the highest first communication scores;
Comparing the highest first communication score with the first communication score of the current use frequency band, and if the highest first communication score is larger than the first communication score, replacing the current use frequency band with other frequency bands with the highest first communication scores;
If the frequency range is smaller than or not in other frequency ranges, adjusting the signal frequency range to send test information to the surrounding;
Determining other base stations which can be searched at the current position according to the received feedback information, calculating a first communication score of each other base station, taking other base stations with the first communication score larger than a first early warning value as alternative base stations,
If no alternative base station exists, increasing signal transmitting power until at least one alternative base station is determined;
and when the first communication score of the current cell is smaller than the second early warning value, calculating the first communication score of the alternative base station again, and switching the current cell into the cell corresponding to the alternative base station with the highest first communication score.
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