CN109474943B - Radio frequency optimization method and device - Google Patents
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Abstract
The embodiment of the invention provides a radio frequency optimization method and a radio frequency optimization device, relates to the field of network optimization, and can better optimize radio frequency working parameters in a mobile network. The method comprises the following steps: acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; selecting a final optimization target of the area to be optimized according to the total key performance index data of the area to be optimized and the total key performance index of at least one area; acquiring radio frequency adjustable parameters and adjustable ranges of the radio frequency adjustable parameters in an area to be optimized; adjusting the radio frequency parameters according to a preset method to obtain radio frequency parameter adjustment values according to the final optimization target, the radio frequency adjustable parameters and the adjustable range of the radio frequency adjustable parameters; sending the radio frequency parameter adjustment value to a network management platform of the area to be optimized so as to adjust the radio frequency parameter of the area to be optimized; and when the total key performance index data is determined to have the preset gain value, the total key performance index data and the historical radio frequency optimization data of the area to be optimized are obtained again.
Description
Technical Field
The present invention relates to the field of network optimization, and in particular, to a radio frequency optimization method and apparatus.
Background
For an LTE network, realizing self-optimization of network radio frequency working parameters is a dream and an effort direction of wireless network optimization personnel. However, the radio frequency parameters are usually optimized in the LTE network as follows: (1) the problems are found: network optimization personnel analyze the problems of the network by analyzing complaints, KPIs and the relations of the complaints and the KPIs, and the method is uncertain and has a crude algorithm; (2) the solution is as follows: after network optimization personnel obtain network problems, solutions are generally provided based on manual experience, mostly qualitative schemes, and the solutions are carried out on site according to tower worker experience or conventional setting; (3) and (3) scheme evaluation: scheme evaluation is not carried out before implementation, and the scheme evaluation is usually completed randomly according to the field situation; (4) setting parameters: often, a small number of stations are set in a manual input mode; (5) and (3) iteratively improving the whole network: at present, the method is usually carried out once, and an iterative lifting process is not carried out. It can be seen that the radio frequency parameter optimization mode of the current LTE network is slow in efficiency and not accurate enough for optimization. Therefore, the existing radio frequency optimization schemes are low in efficiency and the optimization results are not good enough in general.
Disclosure of Invention
The embodiment of the invention provides a radio frequency optimization method which is used for better optimizing radio frequency parameters of a mobile network.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a radio frequency optimization method is provided, including:
acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance index data and optimization targets of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point;
selecting a final optimization target of the area to be optimized from the optimization targets of at least one area according to the total key performance index data of the area to be optimized and the total key performance index of at least one area;
acquiring radio frequency adjustable parameters and adjustable ranges of the radio frequency adjustable parameters in an area to be optimized;
adjusting the radio frequency parameters according to a preset method according to the final optimization target, the radio frequency adjustable parameters and the adjustable range of the radio frequency adjustable parameters to obtain radio frequency parameter adjustment values;
sending the radio frequency parameter adjustment value to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value;
and when the total key performance index data of the area to be optimized before and after the radio frequency parameters of the area to be optimized are determined to have the preset gain value, the total key performance index data and the historical radio frequency optimization data of the area to be optimized are obtained again.
In a second aspect, there is provided a radio frequency optimization apparatus, including: the system comprises an acquisition module, an optimization target selection module, an adjustment module, a sending module and a judgment module;
the acquisition module is used for acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance index data and optimization targets of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point;
the optimization target selection module is used for selecting a final optimization target of the area to be optimized from the optimization targets of the at least one area acquired by the acquisition module according to the total key performance index data of the area to be optimized acquired by the acquisition module and the total key performance index of the at least one area acquired by the acquisition module;
the acquisition module is also used for acquiring the radio frequency adjustable parameters and the adjustable range of the area to be optimized;
the adjusting module is used for adjusting the radio frequency parameters according to a preset method according to the final optimization target selected by the optimization target selecting module, the radio frequency adjustable parameters acquired by the acquiring module and the adjustable range of the radio frequency adjustable parameters acquired by the acquiring module so as to acquire radio frequency parameter adjusting values;
the sending module is used for sending the radio frequency parameter adjustment value obtained by the adjusting module to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value;
when the judging module determines that the total key performance index data of the area to be optimized, which is acquired by the acquiring module before and after the radio frequency parameter adjustment, has a preset gain value, the acquiring module is used for acquiring the total key performance index data and the historical radio frequency optimization data of the area to be optimized again.
In a third aspect, a radio frequency optimization device is provided, which includes a memory, a processor, a bus and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the radio frequency optimization device is operating, the processor executes computer-executable instructions stored by the memory to cause the device to perform the radio frequency optimization method as provided by the first aspect. .
In a fourth aspect, a computer storage medium is provided, comprising computer executable instructions, which when executed on a computer, cause the computer to perform the radio frequency optimization method as provided in the first aspect.
The embodiment of the invention provides a radio frequency optimization method and a radio frequency optimization device, wherein the method comprises the following steps: acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance index data and optimization targets of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point; selecting a final optimization target of the area to be optimized from the optimization targets of at least one area according to the total key performance index data of the area to be optimized and the total key performance index of at least one area; acquiring radio frequency adjustable parameters and adjustable ranges of the radio frequency adjustable parameters in an area to be optimized; adjusting the radio frequency parameters according to a preset method according to the final optimization target, the radio frequency adjustable parameters and the adjustable range of the radio frequency adjustable parameters to obtain radio frequency parameter adjustment values; sending the radio frequency parameter adjustment value to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value; and when the total key performance index data of the area to be optimized before and after the radio frequency parameters of the area to be optimized are determined to have the preset gain value, the total key performance index data and the historical radio frequency optimization data of the area to be optimized are obtained again. The technical scheme provided by the embodiment of the invention comprises the steps of firstly determining an optimization target of a region to be optimized by combining a large number of radio frequency optimization cases which are successfully optimized in practice with total key performance index data of the region to be optimized, adjusting the radio frequency adjustable parameters by using the existing preset method according to the current radio frequency adjustable parameters and the range of the current radio frequency adjustable parameters of the region to be optimized after the optimization target is determined, then judging whether the total key performance index data of the region to be optimized after the radio frequency adjustable parameters are adjusted has expected gain, and if so, optimizing the next cycle; it can be seen that, the technical scheme provided by the embodiment of the invention can more comprehensively determine the optimization target of the area to be optimized by combining a large number of existing optimization schemes, and because the whole process does not need to be closely combined with manual experience, the influence of different experiences on the optimization result is avoided, so that the optimization result is more objective and accurate, and further, because the optimization scheme can be self-circulated, the self-optimization effect of the radio frequency parameters of the mobile network is realized, and a large amount of manpower and material resources are saved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a radio frequency optimization method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another radio frequency optimization method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a radio frequency optimization apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another radio frequency optimization apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
It should be noted that, in the embodiments of the present invention, "of", "corresponding" and "corresponding" may be sometimes used in combination, and it should be noted that, when the difference is not emphasized, the intended meaning is consistent. For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used for distinguishing the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like are not limited in number or execution order.
In the prior art, a radio frequency optimization scheme of a mobile network usually needs a large amount of manual work, the optimization effect is related to the working experience of optimization personnel, so the radio frequency optimization effect is not ideal, and each optimization process is time-consuming and labor-consuming.
In view of the above problem, referring to fig. 1, an embodiment of the present invention provides a radio frequency optimization method, including:
101. and acquiring total key performance index data and historical radio frequency optimization data of the area to be optimized.
Specifically, the historical radio frequency optimization data includes total Key Performance Indicator data (KPI) and an optimization target of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point; the historical radio frequency data evaluated in the implementation process of the technical scheme provided by the embodiment of the invention generally comprises the total key performance index data of all regions which can be collected.
For example, in practice, the total key performance indicator data of a certain area is generally available from MR (Measurement Report), and for some areas without network data, the data is obtained by means of drive test, dialing and the like.
102. And selecting a final optimization target of the area to be optimized from the optimization targets of the at least one area according to the total key performance index data of the area to be optimized and the total key performance index of the at least one area.
Illustratively, referring to fig. 2, the step 102 specifically includes:
1021. and grading the total key performance index data of the area to be optimized and at least one area according to a preset grading rule, and calculating the proportion of each grade of key performance index data.
Specifically, the proportion of each piece of key performance indicator data is the proportion of the number of the measuring points corresponding to each piece of key performance indicator data to the number of the measuring points corresponding to the total key performance indicator data to which the measuring points belong.
Illustratively, because in practice, the total key performance indicator data includes total reference signal received power, RSRP, data and total reference signal to noise ratio, RS Sinr, data; the total RSRP data comprises the RSRP of at least one station; the total RS Sinr data comprises RS Sinr of at least one measuring point; the preset binning rules can therefore be ranked with reference to tables 1 and 2 below:
| RSRP | ratio of occupation of | Relevance weighting |
| Greater than-60 dBm (first gear) | 1 | |
| -60dBm to-80 dBm (second gear) | 2 | |
| -80dBm to-90 dBm (third gear) | 2 | |
| -90dBm to-100 dBm (fourth gear) | 3 | |
| -100dBm to-110 dBm (fifth gear) | 1 | |
| Less than-60 dBm (sixth gear) | 1 |
TABLE 1
| RS Sinr | Ratio of dot distribution | Relevance weighting |
| Greater than 30dB (first gear) | 1 | |
| 30dB to 20dB (second gear) | 1 | |
| 20dB to 10dB (third gear) | 2 | |
| 10dB to 5dB (fourth gear) | 2 | |
| 5dB to 0dB (fifth gear) | 2 | |
| 0dB to-3 dB (sixth gear) | 1 |
TABLE 2
The percentage represents the percentage of the key performance indicator data of each gear, and the relevance weighting represents a relevance weighting value corresponding to the key performance indicator data of each gear, and the value is determined according to the actual situation, which is only an example and is not limited specifically.
1022. And selecting a first target optimization region from at least one region, wherein the difference between the first-grade key performance indicator data ratio and the first-grade key performance indicator data ratio of the region to be optimized is less than or equal to a preset value.
Specifically, the first-file key performance indicator data is any file of key performance indicator data after the total key performance indicator data to which the first-file key performance indicator data belongs is classified.
Illustratively, the preset value is 5%.
1023. And calculating the total relevance score of the area to be optimized according to the ratio of the key performance index data of each file of the area to be optimized and a preset relevance weighting formula.
1024. And calculating the total relevance score of the first target optimization region according to each piece of key performance index data of the first target optimization region and a preset relevance weighting formula.
Illustratively, the preset correlation weighting formula is:
M＝qRSRP*MRSRP+qRS Sinr*MRS Sinr；
wherein M is the total relevance score, qRSRPCorrelation weight, M, for total RSRP dataRSRPRSRP relevance score, q, for total RSRP dataRS SinrCorrelation weight, M, for total RS Sinr data for total RSRP data regionRS SinrAs a total of total RSRP data regionsRelevance scores for RS Sinr data;
where n is the number of steps of the total RSRP data, MRSRPRelevance score, p, for total RSRP dataRiThe ratio of the number of measuring points corresponding to the ith-grade RSRP data after the total RSRP data is graded to the number of measuring points corresponding to the total RSRP data, qRiA correlation weighted value of the ith-grade RSRP data is obtained;
where M is the number of total RS Sinr data bins, MRS SinrRelevance score, p, for total RS Sinr dataSiThe ratio of the number of the measuring points corresponding to the ith grade RS Sinr data after grading the total RS Sinr data to the number of the measuring points corresponding to the total RS Sinr data, qSiAnd the weighted value is the correlation value of the ith RS Sinr data.
It should be noted that, in practice, the preset correlation weighting formula is not only MRSRPAnd MRS SinrAccording to the two parameters, according to an optimization target preset by optimization management personnel, other parameters can also exist, such as a correlation score corresponding to a measuring point with the difference between the RSRP value of the corresponding first strong cell and the RSRP value of the corresponding second strong cell exceeding 5dB, and the like.
1025. And determining a second target optimization region according to the first target optimization region with the minimum difference with the total relevance score of the region to be optimized.
1026. And determining the optimization target of the second target optimization area as the final optimization target of the area to be optimized.
Illustratively, the final optimization goal may include:
the ratio of the number of the measuring points of which the RSRP is more than or equal to-100 dBm to the total number of the measuring points is a first preset value, and the corresponding correlation weighted value is qRSRP100；
The number of the measuring points of which RS Sinr is more than or equal to 0dBm accounts for the total measurementThe ratio of the number of the points is a second preset value, and the corresponding correlation weighted value is qRS Sinr0；
The ratio of the number of the measuring points with the RS Sinr being more than or equal to 10dBm to the total number of the measuring points is a third preset value, and the corresponding correlation weighted value is qRS Sinr10；
The ratio of the number of the measuring points with the RS Sinr being more than or equal to 15dBm to the total number of the measuring points is a fourth preset value, and the corresponding correlation weighted value is qRS Sinr15；
The ratio of the number of the measuring points with the difference of more than 5dB between the corresponding RSRP value of the first strong cell and the corresponding RSRP value of the second strong cell to the total number of the measuring points is a fifth preset value, and the corresponding correlation weighted value is qC1-2；
The ratio of the number of the measuring points with the difference of more than 5dB between the corresponding RSRP value of the first strong cell and the corresponding RSRP value of the fourth strong cell to the total number of the measuring points is a sixth preset value, and the corresponding correlation weighted value is qC1-4。
Optionally, in order to ensure that the final optimization target selected by the area to be optimized is more accurate and more practical, referring to fig. 2, the step 102 further includes:
107. and sending the final optimization target to an optimization terminal.
The holder of the optimization terminal can adjust, even increase or decrease the optimization targets according to the actual network strategy.
108. And receiving a first optimization target adjustment instruction sent by the optimization terminal, and updating the final optimization target according to the first optimization target adjustment instruction so as to re-determine the final optimization target of the area to be optimized.
Step 108 is followed by step 103.
103. And acquiring the radio frequency adjustable parameters and the adjustable range of the area to be optimized.
Exemplary radio frequency adjustable parameters include: the transmitting power of the cell, the electronic downward inclination angle of the sector antenna and the electronic azimuth angle of the sector antenna;
the adjustable range of the transmission power of the cell comprises: a downward variable power float value, an upward variable power float value, a change step length;
the adjustable range of the electronic downtilt angle of the sector antenna comprises: the variation range and the variation step length are changed on the basis of the inclination angle;
the adjustable range of the electronic azimuth angle of the sector antenna comprises: blocking the direction, adjusting the range of the direction and changing the step length.
104. And adjusting the radio frequency parameters according to a preset method according to the final optimization target, the radio frequency adjustable parameters and the adjustable range of the radio frequency adjustable parameters to obtain radio frequency parameter adjustment values.
Optionally, in order to ensure that the radio frequency parameters calculated by the machine meet the actual conditions, and also to ensure that the adjustment process is combined with the specific conditions of the actual area to be optimized in addition to the historical data, referring to fig. 2, after step 104, the method further includes:
109. and sending the radio frequency parameter adjustment value to the optimization terminal.
The holder of the optimization terminal checks partial measurement point work parameters according to the pessimistic optimistic degree of the whole electromagnetic propagation prediction result and the condition of the measured data point obtained in the step 101, and determines whether the radio frequency parameter adjustment value obtained in the step 104 is not appropriate according to the check result; illustratively, the checking type specifically includes:
(1) if the actual measurement in a certain area is weak in coverage, the adjustment value of the radio frequency parameter does not set the direction for strengthening the coverage, and the adjustment is needed at the moment; (2) if the actual measurement blind area in a certain area, the radio frequency parameter adjustment value does not set the direction for strengthening the coverage, and the adjustment is needed at the moment; (3) if a certain area is pilot frequency pollution, the adjustment value of the radio frequency parameter does not reduce the pilot frequency pollution, and the adjustment is needed at the moment; (4) if a certain area is the handoff coverage, the RF parameter adjustment value does not reduce the handoff coverage, and should be adjusted.
110. And receiving a second optimization target adjustment instruction of the optimization terminal, and updating the final optimization target according to the second optimization target adjustment instruction so as to re-determine the final optimization target of the area to be optimized.
After 110, 103 is performed.
105. And sending the radio frequency parameter adjustment value to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value.
106. And when the total key performance index data of the area to be optimized before and after the radio frequency parameters of the area to be optimized are determined to have the preset gain value, the total key performance index data and the historical radio frequency optimization data of the area to be optimized are obtained again.
To achieve network self-optimization, step 106 is followed by step 101.
Optionally, each optimization in practice may not necessarily achieve the optimization goal, so as shown in fig. 2, the method further includes:
111. when determining that the total key performance index data of the area to be optimized before and after the radio frequency parameter adjustment does not have a preset gain value, sending an adjustment failure instruction to an optimization terminal;
112. and receiving a third optimization target adjustment instruction of the optimization terminal, and updating the final optimization target according to the third optimization target adjustment instruction so as to re-determine the final optimization target of the area to be optimized.
After 112, 103 is performed.
Optionally, in order to ensure that the optimization manager specifies which regions are optimized several times and the optimization time, referring to fig. 2, the step 106 further includes:
113. and sending the adjustment completion prompt information to the optimization terminal.
Optionally, in order to expand the historical radio frequency optimization data in real time, as shown in fig. 2, the step 113 further includes:
114. and storing the final optimization target of the area to be optimized and the total key performance index data of the area to be optimized after radio frequency parameters are adjusted in historical radio frequency optimization data.
The radio frequency optimization method provided by the embodiment of the invention comprises the following steps: acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance index data and optimization targets of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point; selecting a final optimization target of the area to be optimized from the optimization targets of at least one area according to the total key performance index data of the area to be optimized and the total key performance index of at least one area; acquiring radio frequency adjustable parameters and adjustable ranges of the radio frequency adjustable parameters in an area to be optimized; adjusting the radio frequency parameters according to a preset method according to the final optimization target, the radio frequency adjustable parameters and the adjustable range of the radio frequency adjustable parameters to obtain radio frequency parameter adjustment values; sending the radio frequency parameter adjustment value to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value; and when the total key performance index data of the area to be optimized before and after the radio frequency parameters of the area to be optimized are determined to have the preset gain value, the total key performance index data and the historical radio frequency optimization data of the area to be optimized are obtained again. The technical scheme provided by the embodiment of the invention comprises the steps of firstly determining an optimization target of a region to be optimized by combining a large number of radio frequency optimization cases which are successfully optimized in practice with total key performance index data of the region to be optimized, adjusting the radio frequency adjustable parameters by using the existing preset method according to the current radio frequency adjustable parameters and the range of the current radio frequency adjustable parameters of the region to be optimized after the optimization target is determined, then judging whether the total key performance index data of the region to be optimized after the radio frequency adjustable parameters are adjusted has expected gain, and if so, optimizing the next cycle; it can be seen that, the technical scheme provided by the embodiment of the invention can more comprehensively determine the optimization target of the area to be optimized by combining a large number of existing optimization schemes, and because the whole process does not need to be closely combined with manual experience, the influence of different experiences on the optimization result is avoided, so that the optimization result is more objective and accurate, and further, because the optimization scheme can be self-circulated, the self-optimization effect of the radio frequency parameters of the mobile network is realized, and a large amount of manpower and material resources are saved.
Referring to fig. 3, in order to better implement the radio frequency optimization method provided in the foregoing embodiment, an embodiment of the present invention further provides a radio frequency optimization apparatus 01, including: the system comprises an acquisition module 31, an optimization target selection module 32, an adjustment module 33, a sending module 34 and a judgment module 35;
the acquiring module 31 is configured to acquire total key performance indicator data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance index data and optimization targets of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point;
an optimization target selecting module 32, configured to select a final optimization target of the area to be optimized from the optimization targets of the at least one area acquired by the acquiring module 31 according to the total key performance indicator data of the area to be optimized acquired by the acquiring module 31 and the total key performance indicator of the at least one area acquired by the acquiring module 31;
the obtaining module 31 is further configured to obtain a radio frequency adjustable parameter of the area to be optimized and an adjustable range thereof;
the adjusting module 33 is configured to adjust the radio frequency parameter according to a preset method according to the final optimization target selected by the optimization target selecting module 32, the radio frequency adjustable parameter acquired by the acquiring module 31, and the adjustable range of the radio frequency adjustable parameter acquired by the acquiring module 31, so as to acquire a radio frequency parameter adjustment value;
a sending module 34, configured to send the radio frequency parameter adjustment value obtained by the adjusting module 33 to a network management platform of the area to be optimized, so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value;
when the judging module 35 determines that the total key performance indicator data of the area to be optimized, which is obtained by the obtaining module 31 before and after the radio frequency parameter adjustment, has a preset gain value, the obtaining module 31 is configured to obtain the total key performance indicator data and the historical radio frequency optimization data of the area to be optimized again.
Optionally, the optimization target selecting module 32 specifically includes: a proportion calculation unit 321, a processing unit 322, and a correlation calculation unit 323;
the proportion calculating unit 321 is configured to grade the total key performance indicator data of the area to be optimized and the at least one area acquired by the acquiring module 31 according to a preset grading rule, and calculate the proportion of each grade of key performance indicator data; the proportion of each file of key performance index data is the proportion of the number of the measuring points corresponding to each file of key performance index data to the number of the measuring points corresponding to the total key performance index data of the measuring points;
the processing unit 322 is configured to select, according to the calculation result of the proportion calculating unit 321, a first target optimization region where a difference between a proportion of the first-grade key performance indicator data and a proportion of the first-grade key performance indicator data of the region to be optimized is less than or equal to a preset value from at least one region acquired by the acquiring module 31; the first-grade key performance index data is any one grade of key performance index data after grading of total key performance index data to which the first-grade key performance index data belongs;
the relevance calculating unit 323 is used for calculating the total relevance score of the first target optimization region according to the proportion of each grade of key performance index data of the region to be optimized, which is calculated by the proportion calculating unit 321, and a preset relevance weighting formula;
the relevance calculating unit 323 is further configured to calculate a total relevance score of the first target optimization region according to a preset relevance weighting formula according to the proportion of each grade of key performance indicator data of the first target optimization region calculated by the proportion calculating unit 321;
the processing unit 322 is further configured to determine a second target optimization region from the first target optimization region with the smallest difference between the total relevance scores of the regions to be optimized, which are calculated by the relevance calculating unit 323, and determine an optimization target of the second target optimization region as a final optimization target of the regions to be optimized.
Optionally, the radio frequency optimization apparatus further includes an updating module 36;
the sending module 34 is further configured to send the final optimization target selected by the optimization target selecting module 32 to the optimization terminal 02 after the optimization target selecting module 32 selects the final optimization target of the area to be optimized;
the updating module 36 is configured to receive the first optimization target adjustment instruction sent by the optimization terminal 02, and update the final optimization target selected by the optimization target selecting module 32 according to the first optimization target adjustment instruction, so as to re-determine the final optimization target of the area to be optimized.
Optionally, the sending module 34 is further configured to send the radio frequency parameter adjustment value to the optimization terminal 02 before sending the radio frequency parameter adjustment value to the network management platform of the area to be optimized;
the updating module 36 is configured to receive a second optimization target adjustment instruction of the optimization terminal 02, and update the final optimization target selected by the optimization target selecting module 32 according to the second optimization target adjustment instruction, so as to re-determine the final optimization target of the area to be optimized.
Optionally, when the determining module 35 determines that the total key performance indicator data of the area to be optimized, which is acquired by the acquiring module 31 before and after the radio frequency parameter adjustment, does not have a preset gain value, an adjustment failure instruction is sent to the optimizing terminal 02;
the updating module 36 is further configured to receive a third optimization target adjustment instruction of the optimization terminal 02, and update the final optimization target selected by the optimization target selecting module 32 according to the third optimization target adjustment instruction, so as to re-determine the final optimization target of the area to be optimized.
The radio frequency optimization device provided by the embodiment of the invention comprises: the acquisition module is used for acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance index data and optimization targets of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point; the optimization target selection module is used for selecting a final optimization target of the area to be optimized from the optimization targets of the at least one area acquired by the acquisition module according to the total key performance index data of the area to be optimized acquired by the acquisition module and the total key performance index of the at least one area acquired by the acquisition module; the acquisition module is also used for acquiring the radio frequency adjustable parameters and the adjustable range of the area to be optimized; the adjusting module is used for adjusting the radio frequency parameters according to a preset method according to the final optimization target selected by the optimization target selecting module, the radio frequency adjustable parameters acquired by the acquiring module and the adjustable range of the radio frequency adjustable parameters acquired by the acquiring module so as to acquire radio frequency parameter adjusting values; the sending module is used for sending the radio frequency parameter adjustment value obtained by the adjusting module to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value; when the judging module determines that the total key performance index data of the area to be optimized before and after the radio frequency parameters of the area to be optimized are adjusted to have the preset gain value, the obtaining module is used for obtaining the total key performance index data and the historical radio frequency optimization data of the area to be optimized again. Therefore, the technical scheme provided by the embodiment of the invention can firstly determine the optimization target of the area to be optimized by combining a large number of radio frequency optimization cases which are successfully optimized in practice with the total key performance index data of the area to be optimized, adjust the radio frequency adjustable parameter by using the existing preset method according to the current radio frequency adjustable parameter and the range of the current radio frequency adjustable parameter of the area to be optimized after determining the optimization target, then judge whether the total key performance index data of the area to be optimized has expected gain after adjusting the radio frequency adjustable parameter, and if so, optimize the next cycle; it can be seen that, the technical scheme provided by the embodiment of the invention can more comprehensively determine the optimization target of the area to be optimized by combining a large number of existing optimization schemes, and because the whole process does not need to be closely combined with manual experience, the influence of different experiences on the optimization result is avoided, so that the optimization result is more objective and accurate, and further, because the optimization scheme can be self-circulated, the self-optimization effect of the radio frequency parameters of the mobile network is realized, and a large amount of manpower and material resources are saved.
Referring to fig. 4, an embodiment of the present invention further provides another radio frequency optimization apparatus, which includes a memory 41, a processor 42, a bus 43, and a communication interface 44; the memory 41 is used for storing computer execution instructions, and the processor 42 is connected with the memory 41 through a bus 43; when the radio frequency optimizing device is running, the processor 42 executes the computer-executable instructions stored in the memory 41 to cause the radio frequency optimizing device to perform the radio frequency optimizing method provided in the above-mentioned embodiment.
In particular implementations, processor 42(42-1 and 42-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 4, for example, as one embodiment. And as an example, the radio frequency optimization device may include a plurality of processors 42, such as processor 42-1 and processor 42-2 shown in fig. 4. Each of the processors 42 may be a Single-core processor (Single-CPU) or a Multi-core processor (Multi-CPU). Processor 42 may refer herein to one or more devices, circuits, and/or processing cores that process data (e.g., computer program instructions).
The Memory 41 may be a Read-Only Memory 41 (ROM) or other types of static storage devices that can store static information and instructions, a Random Access Memory (RAM) or other types of dynamic storage devices that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 41 may be self-contained and coupled to the processor 42 via a communication bus 43. The memory 41 may also be integrated with the processor 42.
In a specific implementation, the memory 41 is used for storing data in the present application and computer-executable instructions corresponding to software programs for executing the present application. The processor 42 may optimize various functions of the device by running or executing software programs stored in the memory 41 and invoking data stored in the memory 41.
The communication interface 44 is any device such as a transceiver for communicating with other devices or communication Networks, such as a control system, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), and the like. The communication interface 44 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.
The bus 43 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 43 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The embodiment of the present invention further provides a computer storage medium, where the computer storage medium includes computer execution instructions, and when the computer execution instructions run on a computer, the computer is enabled to execute the radio frequency optimization method provided in the foregoing embodiment.
The embodiment of the present invention further provides a computer program, where the computer program may be directly loaded into a memory and contains a software code, and the computer program is loaded and executed by a computer, so as to implement the radio frequency optimization method provided in the foregoing embodiment.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and there may be other division ways in actual implementation. For example, various elements or components may be combined or may be integrated into another device, or some features may be omitted, or not implemented. 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. Units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed to a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention 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. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributed to by the prior art, or all or part of the technical solutions may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (13)
1. A method for radio frequency optimization, comprising:
acquiring total key performance index data and historical radio frequency optimization data of an area to be optimized; the historical radio frequency optimization data comprises total key performance indicator data and optimization goals of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point;
selecting a final optimization target of the area to be optimized from optimization targets of the at least one area according to the total key performance indicator data of the area to be optimized and the total key performance indicator of the at least one area;
acquiring radio frequency adjustable parameters and adjustable ranges of the areas to be optimized;
adjusting the radio frequency parameters according to a preset method according to the final optimization target, the radio frequency adjustable parameters and the adjustable range of the radio frequency adjustable parameters to obtain radio frequency parameter adjustment values;
sending the radio frequency parameter adjustment value to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value;
and when the total key performance index data of the area to be optimized before and after the radio frequency parameters of the area to be optimized are determined to have a preset gain value, the total key performance index data and the historical radio frequency optimization data of the area to be optimized are obtained again.
2. The radio frequency optimization method according to claim 1, wherein the selecting a final optimization goal of the region to be optimized from the optimization goals of the at least one region according to the total key performance indicator data of the region to be optimized and the total key performance indicator of the at least one region comprises:
grading the total key performance index data of the area to be optimized and the at least one area according to a preset grading rule, and calculating the proportion of the key performance index data of each grade; the proportion of each file of key performance indicator data is the proportion of the number of the measuring points corresponding to each file of key performance indicator data to the number of the measuring points corresponding to the total key performance indicator data of the file;
selecting a first target optimization region from the at least one region, wherein the difference between the first-grade key performance indicator data proportion and the first-grade key performance indicator data proportion of the region to be optimized is less than or equal to a preset value; the first-file key performance index data is any file key performance index data after the total key performance index data to which the first-file key performance index data belongs is classified;
calculating the total relevance score of the area to be optimized according to the proportion of each grade of key performance index data of the area to be optimized and a preset relevance weighting formula; calculating the total relevance score of the first target optimization region according to each grade of key performance indicator data of the first target optimization region and a preset relevance weighting formula;
determining a second target optimization region from the first target optimization region with the minimum difference with the total relevance score of the region to be optimized; and determining the optimization target of the second target optimization area as the final optimization target of the area to be optimized.
3. The radio frequency optimization method according to claim 1, further comprising, after selecting a final optimization goal of the region to be optimized from the optimization goals of the at least one region according to the total key performance indicator data of the region to be optimized and the total key performance indicator of the at least one region:
sending the final optimization target to an optimization terminal;
and receiving a first optimization target adjustment instruction sent by the optimization terminal, and updating the final optimization target according to the first optimization target adjustment instruction so as to re-determine the final optimization target of the area to be optimized.
4. The radio frequency optimization method according to claim 1, wherein before sending the radio frequency parameter adjustment value to the network management platform of the area to be optimized, the method further comprises:
sending the radio frequency parameter adjustment value to an optimization terminal;
and receiving a second optimization target adjustment instruction of the optimization terminal, and updating the final optimization target according to the second optimization target adjustment instruction so as to re-determine the final optimization target of the area to be optimized.
5. The radio frequency optimization method of claim 1, further comprising:
when determining that the total key performance index data of the area to be optimized before and after the radio frequency parameter adjustment does not have a preset gain value, sending an adjustment failure instruction to an optimization terminal;
and receiving a third optimization target adjustment instruction of the optimization terminal, and updating the final optimization target according to the third optimization target adjustment instruction so as to re-determine the final optimization target of the area to be optimized.
6. The method of claim 2, wherein the total key performance indicator data comprises total reference signal received power, RSRP, data and total reference signal to noise ratio, RS Sinr, data; the historical radio frequency optimization data comprises total RSRP data, total RS Sinr data and an optimization target of at least one region; the total RSRP data comprises an RSRP of at least one station; the total RS Sinr data comprises RS Sinr of at least one measuring point;
the preset correlation weighting formula is as follows:
M＝qRSRP*MRSRP+qRSSinr*MRSSinr；
wherein M is the total relevance score, qRSRPA correlation weighting value, M, for the total RSRP dataRSRPAn RSRP relevance score, q, for the total RSRP dataRSSinrTotal of said region for said total RSRP dataCorrelation weight, M, for RS Sinr dataRSSinr(ii) a relevance score for total RS Sinr data for the region for the total RSRP data;
wherein n is the number of steps of the total RSRP data, MRSRPA relevance score, p, for the total RSRP dataRiThe ratio of the number of measuring points corresponding to the ith-grade RSRP data after the total RSRP data is graded to the number of measuring points corresponding to the total RSRP data, qRiA correlation weighted value of the ith-grade RSRP data;
wherein M is the number of steps of the total RS Sinr data, MRSSinrIs the relevance score, p, of the total RS Sinr dataSiThe ratio of the number of the measuring points corresponding to the ith grade RS Sinr data after the total RS Sinr data is graded to the number of the measuring points corresponding to the total RS Sinr data, qSiAnd weighting the correlation value of the ith gear RS Sinr data.
7. A radio frequency optimizing device, comprising: the system comprises an acquisition module, an optimization target selection module, an adjustment module, a sending module and a judgment module;
the acquisition module is used for acquiring total key performance index data and historical radio frequency optimization data of the area to be optimized; the historical radio frequency optimization data comprises total key performance indicator data and optimization goals of at least one region; the total key performance indicator data comprises key performance indicators of at least one measuring point;
the optimization target selection module is used for selecting a final optimization target of the area to be optimized from the optimization targets of the at least one area acquired by the acquisition module according to the total key performance index data of the area to be optimized acquired by the acquisition module and the total key performance index of the at least one area acquired by the acquisition module;
the acquisition module is also used for acquiring the radio frequency adjustable parameters and the adjustable range of the area to be optimized;
the adjusting module is configured to adjust the radio frequency parameter according to a preset method according to the final optimization target selected by the optimization target selecting module, the radio frequency adjustable parameter acquired by the acquiring module, and the adjustable range of the radio frequency adjustable parameter acquired by the acquiring module, so as to acquire a radio frequency parameter adjustment value;
the sending module is used for sending the radio frequency parameter adjustment value obtained by the adjusting module to a network management platform of the area to be optimized so that the network management platform adjusts the radio frequency parameter of the area to be optimized according to the radio frequency parameter adjustment value;
when the judging module determines that the total key performance index data of the area to be optimized, which is acquired by the acquiring module before and after the radio frequency parameters of the area to be optimized are adjusted, has a preset gain value, the acquiring module is used for acquiring the total key performance index data and the historical radio frequency optimization data of the area to be optimized again.
8. The radio frequency optimization device according to claim 7, wherein the optimization target selection module specifically comprises: a proportion calculation unit, a processing unit and a correlation calculation unit;
the proportion calculation unit is used for grading the total key performance index data of the area to be optimized and the at least one area acquired by the acquisition module according to a preset grading rule and calculating the proportion of each grade of key performance index data; the proportion of each file of key performance indicator data is the proportion of the number of the measuring points corresponding to each file of key performance indicator data to the number of the measuring points corresponding to the total key performance indicator data of the file;
the processing unit is used for selecting a first target optimization area, of which the difference between the first-grade key performance indicator data ratio and the first-grade key performance indicator data ratio of the area to be optimized is smaller than or equal to a preset value, from the at least one area acquired by the acquisition module according to the calculation result of the ratio calculation unit; the first-file key performance index data is any file key performance index data after the total key performance index data to which the first-file key performance index data belongs is classified;
the correlation calculation unit is used for calculating the total correlation score of the area to be optimized according to the ratio of the key performance index data of each grade calculated by the ratio calculation unit and a preset correlation weighting formula;
the relevance calculating unit is further used for calculating the total relevance score of the first target optimization region according to the proportion of each grade of key performance index data of the first target optimization region calculated by the proportion calculating unit and a preset relevance weighting formula;
the processing unit is further used for determining a second target optimization region from the first target optimization region with the smallest difference between the total relevance score of the region to be optimized and the total relevance score of the region to be optimized, which is calculated by the relevance calculating unit, and determining an optimization target of the second target optimization region as a final optimization target of the region to be optimized.
9. The radio frequency optimization device according to claim 7, further comprising an update module;
the sending module is further configured to send the final optimization target selected by the optimization target selection module to an optimization terminal after the optimization target selection module selects the final optimization target of the area to be optimized;
the updating module is configured to receive a first optimization target adjustment instruction sent by the optimization terminal, and update the final optimization target selected by the optimization target selection module according to the first optimization target adjustment instruction, so as to re-determine the final optimization target of the area to be optimized.
10. The radio frequency optimization device of claim 9,
the sending module is further configured to send the radio frequency parameter adjustment value to the optimization terminal before sending the radio frequency parameter adjustment value to the network management platform of the area to be optimized;
the updating module is configured to receive a second optimization target adjustment instruction of the optimization terminal, and update the final optimization target selected by the optimization target selection module according to the second optimization target adjustment instruction, so as to re-determine the final optimization target of the area to be optimized.
11. The radio frequency optimization device of claim 9,
when the judging module determines that the total key performance index data of the area to be optimized, which is acquired by the acquiring module before and after the radio frequency parameter of the area to be optimized, does not have a preset gain value, an adjustment failure instruction is sent to the optimizing terminal;
the updating module is further configured to receive a third optimization target adjustment instruction of the optimization terminal, and update the final optimization target selected by the optimization target selection module according to the third optimization target adjustment instruction, so as to re-determine the final optimization target of the area to be optimized.
12. A radio frequency optimization device is characterized by comprising a memory, a processor, a bus and a communication interface; the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus; the processor executes the computer-executable instructions stored by the memory when the radio frequency optimization device is running to cause the device to perform the radio frequency optimization method of any of claims 1-6.
13. A computer-readable storage medium comprising computer-executable instructions that, when executed on a computer, cause the computer to perform the radio frequency optimization method of any one of claims 1-6.
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