CN112434885B - Service prediction method and device for energy-saving cell - Google Patents
Service prediction method and device for energy-saving cell Download PDFInfo
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Abstract
The embodiment of the invention provides a service prediction method and device for an energy-saving cell, which relate to the field of communication and are used for predicting service loads in a common coverage cell set and improving the accuracy of predicting the service loads of the energy-saving cell. The method comprises the following steps: acquiring a first predicted traffic load and a first actual traffic load of an energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period; determining a target traffic load of the energy-saving cell in a target time period according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load. The method and the device are used for predicting the service load of the cell.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and apparatus for predicting a service in an energy-saving cell.
Background
In the current energy saving technology, the service load of a future time period is generally predicted according to the historical service load of a cell so as to determine the idle period of the cell, and thus, corresponding software energy saving is performed for the cell in the idle period.
However, in the network-level energy saving system, when the traffic loads of the energy saving cell and the compensation cell are predicted based on the historical traffic loads, the predicted traffic loads cannot truly reflect the traffic loads of the energy saving cell and the compensation cell, which are affected by the traffic transfer between the energy saving cell and the compensation cell. For example, when acquiring the current historical service load of the cell1 in N days, if the cell1 does not execute the energy-saving operation in the N days, the historical service load can truly reflect the service load change trend of the cell1 in the N days, and at this time, the service load of the cell1 in a future time period can be predicted according to the historical service load; if the cell1 performs the energy saving operation within the N days, the traffic load of the cell1 may migrate to the compensation cell, so that the historical traffic load within the N days cannot truly reflect the traffic load variation trend of the cell1, and at this time, the traffic load of the future time period predicted for the cell1 using the historical traffic load cannot truly reflect the traffic load of the cell 1.
Disclosure of Invention
The embodiment of the invention provides a service prediction method and device for an energy-saving cell, which are used for predicting service loads in a common coverage cell set and improving the accuracy of the service load prediction of the energy-saving cell.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:
in a first aspect, a service prediction method for an energy-saving cell is provided, including: acquiring a first predicted traffic load and a first actual traffic load of an energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period; determining a target traffic load of the energy-saving cell in a target time period according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load.
In a second aspect, a service prediction apparatus for an energy-saving cell is provided, including: the acquisition module is used for acquiring a first predicted traffic load and a first actual traffic load of the energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period; the processing module is used for determining the target service load of the energy-saving cell in the target time period according to the first predicted service load, the predicted service load total amount and the actual service load total amount which are acquired by the acquisition module; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load.
In a third aspect, a traffic prediction device for an energy-saving cell is provided, including 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 traffic prediction device of the energy saving cell is operated, the processor executes the computer-executable instructions stored in the memory to cause the traffic prediction device of the energy saving cell to perform the traffic prediction method of the energy saving cell as provided in the first aspect.
In a fourth aspect, there is provided a computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the method of traffic prediction for a power saving cell as provided in the first aspect.
The service prediction method of the energy-saving cell provided by the embodiment of the invention comprises the following steps: acquiring a first predicted traffic load and a first actual traffic load of an energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period; determining a target traffic load of the energy-saving cell in a target time period according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load. In the embodiment of the invention, the energy-saving cell and the compensation cell have performed energy-saving operation in the target time period, so that part of the business of the energy-saving cell in the target time period has been migrated to the compensation cell, and therefore, the first actual business load cannot truly reflect the business load of the energy-saving cell in the target time period, but the total actual business load can truly reflect the total business load conditions of the energy-saving cell and the compensation cell in the target time period; the first predicted service load and the second predicted service load can estimate the service load conditions of the energy-saving cell and the compensation cell in a target time period, so that the proportion of the energy-saving cell in the total service load can be determined according to the first predicted service load and the total predicted service load, and the proportion and the actual total service load can be combined to determine the target service load of the energy-saving cell; the target service load is determined through the proportion of the energy-saving cell in the total amount of the first actual service load, namely the service load before the energy-saving cell shifts the service is determined, so that the target service load can more accurately reflect the actual service load of the energy-saving cell, and the accuracy of the service load prediction of the energy-saving cell is improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a service prediction method of an energy-saving cell according to an embodiment of the present invention;
fig. 2 is a second flow chart of a service prediction method of an energy-saving cell according to an embodiment of the present invention;
fig. 3 is a third flow chart of a service prediction method of an energy-saving cell according to an embodiment of the present invention;
fig. 4 is a flow chart of a service prediction method of an energy-saving cell according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of service prediction of an energy-saving cell according to an embodiment of the present invention;
fig. 6 is a second schematic structural diagram of service prediction of an energy-saving cell according to an embodiment of the present invention;
fig. 7 is a third schematic structural diagram of service prediction of an energy-saving cell according to an embodiment of the present invention;
Fig. 8 is a schematic structural diagram of service prediction of another energy-saving cell according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the terms "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect, and those skilled in the art will understand that the terms "first", "second", etc. are not limited in number and execution order.
The appearance of the 5G network greatly improves the network performance of the mobile network, can provide higher-speed and finer communication services for the terminal, but has higher energy consumption compared with the 4G network, which greatly increases the operation cost of the mobile operator. The high energy consumption of the 5G network is mainly represented by the 5G base station, and compared with the 4G base station, the hardware capability and the software capability of the 5G base station are improved, but the energy consumption is increased, so that the energy consumption of the 5G network is greatly increased.
Currently, mobile operators mainly reduce operation cost through a base station energy-saving mode. The base station energy saving technology comprises equipment-level energy saving, station-level energy saving and network-level energy saving, wherein the equipment-level energy saving mainly realizes energy saving through hardware design; the station-level energy saving mainly performs software energy saving from the aspects of frame and channel turn-off, namely deep dormancy and the like, and the main idea is that the refined energy saving of the base station is realized by means of timely closing part of equipment, cells, channels or power amplifiers and the like on the premise of ensuring network quality and terminal experience by identifying the network state; the network level energy saving is realized from the multi-network coordination angle, the main idea is to utilize the current network service information, determine the configuration parameters of the network energy saving through the corresponding intelligent algorithm, and realize the software energy saving of the cell, wherein the intelligent algorithm not only can be used for initializing the parameter configuration of the cell, but also can realize service prediction according to the historical service data of the cell, thereby adjusting the energy saving strategy of the cell.
For network-level energy saving, the method generally comprises the steps of service prediction, strategy generation, energy consumption evaluation and the like. Wherein, the service prediction refers to predicting the change trend of the service load of the base station by using a corresponding artificial intelligence (Artificial Intelligence, AI) algorithm based on the service load of the base station executing service; the policy generation is to determine an energy-saving policy for a corresponding cell according to a network deployment structure (such as a common coverage cell), such as a software energy-saving mode, an energy-saving time period and the like; the energy consumption evaluation is to analyze the influence of energy saving operation on network key performance indexes (key performance indicator, KPI) aiming at energy saving strategies of energy saving cells and compensation cells. In network-level energy saving, it is generally necessary to predict future traffic load trend according to the historical traffic load of the base station, and after some energy-saving cell and compensation cell have adopted energy-saving operation, the historical traffic load of the energy-saving cell and compensation cell cannot truly reflect the traffic load, so that when the future traffic load trend is predicted according to the historical traffic load of the energy-saving cell and compensation cell, the obtained prediction result cannot truly reflect the actual traffic load, and further when the energy-saving strategy is determined according to the predicted traffic load, the network performance of the compensation cell and the energy-saving cell may be affected.
In order to solve the above problems, an embodiment of the present invention provides a service prediction method for an energy-saving cell, so as to improve accuracy of service prediction for the energy-saving cell. As shown in fig. 1, the method includes:
s101, acquiring a first predicted traffic load and a first actual traffic load of the energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period.
Specifically, the energy saving cell and the compensation cell herein are co-coverage cells. The service prediction device may obtain operation state information of each base station, where the operation state information includes KPI data of a cell corresponding to each base station, where the KPI data corresponding to each cell may indicate a service load of the cell, for example, when the KPI data includes an uplink/downlink physical resource block (physical resource block, PRB) utilization rate, the greater the uplink/downlink PRB utilization rate corresponding to the cell, the greater the service load corresponding to the cell, so the service prediction device may determine the corresponding service load according to the KPI data corresponding to each cell. Therefore, the service prediction device can determine the corresponding first actual service load according to the KPI data corresponding to the energy-saving cell in the target time period, and can also determine the corresponding second actual service load according to the KPI data corresponding to the compensation cell in the target time period. Of course, the KPI data herein may also be parameters such as control channel element (control channel element, CCE) utilization, radio resource control (Radio Resource Control, RRC) connection rate, etc.
The predicted traffic load of the energy-saving cell and the compensating cell in the target time period can be determined by the traffic prediction device according to the traffic load of the corresponding historical time period through an AI algorithm.
For example, if the target period is from 17 minutes of 17 hours of 11 months and 27 days of 2020 to 18 minutes of 17 hours of 27 months of 2020, the traffic prediction device may determine the predicted traffic load according to the historical traffic load of the historical period corresponding to the target period, where the historical period is from 17 minutes to 00 minutes of 17 hours of 20 months of 2020 to 17 minutes of 26 months of 11 months of 2020, and the historical traffic load is the traffic load in the historical period. The service prediction device can determine the first predicted service load of the energy-saving cell through the historical service load of the energy-saving cell in the historical time period and a corresponding AI algorithm; likewise, by compensating the historical traffic load of the cell during the historical time period and the corresponding AI algorithm, the traffic prediction device may determine a second predicted traffic load of the compensating cell.
In the embodiment of the present invention, the first predicted traffic load is predicted by the traffic prediction device according to the historical traffic load when the energy-saving cell does not perform the energy-saving operation, for example, 17 time 00 minutes to 18 time 00 minutes of 20 days in 11 months in 2020 to 26 days in 11 months in 2020, and the traffic prediction device may determine the first predicted traffic load according to the historical traffic load in the historical time period when the energy-saving cell does not perform the energy-saving operation; after determining the first predicted traffic load, a corresponding energy-saving strategy can be determined according to the first predicted traffic load, so that the energy-saving cell executes energy-saving operation, wherein the first actual traffic load is the remaining traffic load after the energy-saving cell executes the energy-saving operation. Since the power saving operation may be symbol off or channel off, after the power saving cell performs the power saving operation, a part of the traffic load may still be carried by the power saving cell, so the first actual traffic load may indicate the remaining traffic load of the power saving cell.
According to different network systems, in network planning design, a network of a certain area can be divided into a cover layer and a capacity layer, wherein the cover layer is used for bearing services in a target area, and the capacity layer is used for expanding the network of the cover layer. Thus, the overlay cells in the common overlay cell set may be determined as compensation cells and the capacity layer cells as energy saving cells in a certain area. The common coverage cell set herein refers to cells having the same coverage.
In a possible implementation manner, the energy-saving cell and the compensating cell may also be determined by measurement report (measurement report, MR) data or parameter configuration of the cells, for example, according to a difference between a station distance and an antenna direction angle of the two cells, and when the station distance of the two cells is smaller than d and the difference between the antenna direction angles is smaller than ang, the two cells may be determined to be co-coverage cells. Of course, those skilled in the art may determine the energy-saving cell and the compensating cell in the common coverage cell set by other methods, which is not limited to the embodiment of the present invention. The d and ang may be set by those skilled in the art as required, and will not be described herein.
S102, determining the target traffic load of the energy-saving cell in the target time period according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount.
The total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load, so that the traffic load of the energy-saving cell in the target time period can be reflected more truly.
Specifically, when the energy-saving cell takes an energy-saving operation, the service load of the energy-saving cell may already be migrated to the compensation cell, so that the first actual service load cannot truly reflect the service load of the energy-saving cell in the target time period; the first predicted traffic load is predicted according to the historical traffic load of the energy-saving cell, but due to the characteristics of burstiness of the terminal traffic and the like, the traffic load change trend of the energy-saving cell may not be reflected by the first predicted traffic load. Thus, neither the first actual traffic load nor the first predicted traffic load herein indicates the traffic load of the energy saving cell in the target time period.
Similarly, when the energy-saving cell takes the energy-saving operation, the second actual service load cannot truly reflect the service load of the compensation cell in the target time period because the compensation cell bears the service load of a part of the energy-saving cell; the second predicted traffic load is also predicted according to the historical traffic load of the compensating cell, and may not reflect the traffic load change trend of the compensating cell due to the characteristics of burstiness of the terminal traffic and the like. Thus, neither the second actual traffic load nor the second predicted traffic load herein indicates the traffic load of the compensating cell in the target time period.
Therefore, after the first predicted traffic load is determined, the target traffic load of the energy-saving cell in the target time period can be further determined through correction of the first predicted traffic load, so that an energy-saving strategy is formulated for the energy-saving cell according to the target traffic load, and the network performance of the energy-saving cell and the compensation cell is prevented from being reduced after the corresponding energy-saving strategy is adopted.
The number of the compensating cells may be one or more. For example, the compensation cells may include a first compensation cell and a second compensation cell, where the total predicted traffic load is a sum of a first predicted traffic load, which may refer to traffic load predicted by the energy-saving cell in the target period, a second predicted traffic load, which may refer to traffic load predicted by the first compensation cell in the target period, and a third predicted traffic load, which may refer to traffic load predicted by the second compensation cell in the target period.
Optionally, as shown in fig. 2, step S102 specifically includes:
and determining the target traffic load according to a first formula according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount.
Wherein, the first formula is:
where Y is the target traffic load, P is the actual traffic load total, Q is the predicted traffic load total, and X is the first predicted traffic load.
Specifically, the first formula here is to determine the proportion of the traffic load of the energy-saving cell in the traffic load total amount according to the first predicted traffic load and the predicted traffic load total amount, and further determine the target traffic load of the energy-saving cell in the target time period according to the proportion and the actual traffic load total amount. The total traffic load here refers to the sum of the traffic load of the energy-saving cell and the traffic load of the compensating cell.
Because the energy-saving cell transfers the service to the compensation cell, the service load of the transfer service is only transferred from the energy-saving cell to the compensation cell, and the service load of the transfer service is not changed, the actual service load total amount of the energy-saving cell and the compensation cell is not changed along with the energy-saving operation of the energy-saving cell, and the actual service load total amount can truly reflect the service load total amounts of the energy-saving cell and the compensation cell in a target time period. Thus, the target traffic load of the energy-saving cell can be determined here based on the above-mentioned ratio and the actual traffic load total.
Exemplary, if the common coverage cell set includes the first cell 0 Second cell 1 And a third cell 2 Wherein the first cell 0 Is the first predicted traffic load of (1)
The first actual traffic load is +.>
Second cell 1 Is +.>
The first actual traffic load is +.>
Third cell 2 Is +.>
The first actual traffic load is +.>
The actual traffic load total +.>
Predicting traffic negativeTotal amount of lotus->
At this time, according to the first formula, the energy-saving cell can be determined 0 Target traffic load in target period +.>
It should be noted that t in the above formula i In the embodiment of the present invention, if the traffic loads of the energy-saving cell and the compensating cell are predicted in units of days, the day may be divided into 24 time periods, such as 00:00-01:00, 01:00-02:00, and t 1 I.e. 00:00-01:00, t 2 I.e. 01:00-02:00.
Optionally, when the energy saving cell includes a plurality of compensating cells, the first formula may be:
wherein ,
target traffic load for energy-saving cell, +.>
For the first actual traffic load of the energy-saving cell, < >>
To compensate for the second actual traffic load of the cell, < > >
For a first predicted traffic load of the energy saving cell,
to compensate cellsAnd a second predicted traffic load. Here j is the number of compensating cells.
Exemplary, if the compensation cell includes a first compensation cell, a second compensation cell and a third compensation cell, and the second actual traffic load of the first compensation cell is
The second predicted traffic load is +.>
The second actual traffic load of the second compensating cell is +.>
The second predicted traffic load is +.>
The second actual traffic load of the third compensating cell is +.>
The second predicted traffic load is +.>
The target traffic load of the energy saving cell0 is:
in an alternative implementation, the second target traffic load of the compensating cell may also be obtained by the first formula, for example:
y here j ' is the second target traffic load, P is the actual traffic load total, Q is the predicted traffic load total, X j ' is the second predicted traffic load. Here, theThe second target traffic load of the compensation cell is the corrected second predicted traffic load, and the traffic load of the compensation cell in the target time period can be reflected more truly. According to the difference of the compensating cells, the second target service load of the different compensating cells can be obtained only by replacing X' in the formula, and the specific process can refer to the process of determining the target service load of the energy-saving cell, which is not repeated here.
Since the compensation cells may include a plurality of compensation cells, it is necessary to separately determine the second target traffic load of each compensation cell according to the above formula. For example, the compensation cell includes a first compensation cell and a second compensation cell, and the second target traffic load of the first compensation cell may be:
wherein ,Y1 ' second target traffic load for first compensating cell, X 1 ' second predicted traffic load for the first compensating cell.
The second target traffic load of the second compensation cell may be:
wherein ,Y2 ' second target traffic load for second compensation cell, X 2 ' second predicted traffic load for the second compensating cell.
In the embodiment of the invention, the total actual service load can truly reflect the total service load condition of the energy-saving cell and the compensating cell in the target time period, and the first predicted service load and the second predicted service load can predict the service load condition of the energy-saving cell and the compensating cell in the target time period, so that the proportion of the energy-saving cell in the total service load can be determined according to the first predicted service load and the predicted service load, and the proportion and the actual service load can be combined to determine the target service load of the energy-saving cell; the target service load is determined through the proportion of the energy-saving cell in the total amount of the first actual service load, namely the service load before the energy-saving cell shifts the service is determined, so that the target service load can more accurately reflect the actual service load of the energy-saving cell, and the accuracy of the service load prediction of the energy-saving cell is improved.
Optionally, as shown in fig. 3, after step S102, the method further includes:
s103, determining the corrected service load according to the target service load and the second formula.
Specifically, the second formula is:
wherein ,
to correct the traffic load, p is a confidence factor.
Specifically, when the first predicted traffic load and the second predicted traffic load are determined according to the historical traffic load, the first predicted traffic load and the second predicted traffic load may be different from the actual traffic load, for example, the first predicted traffic load is different from the actual traffic load of the energy-saving cell, and the second predicted traffic load is different from the actual traffic load of the compensation cell, so when the target traffic load of the energy-saving cell is determined according to the first predicted traffic load and the second predicted traffic load, the target traffic load may be different from the actual traffic load of the energy-saving cell. Therefore, a second formula is introduced here to modify the target traffic load by a confidence factor p so that the target traffic load is closer to the actual traffic load of the energy-saving cell.
It should be noted that, since the first predicted traffic load may be greater than the actual traffic load of the energy-saving cell, and may also be less than the actual traffic load of the energy-saving cell; the second predicted traffic load may be greater than or less than the actual traffic load of the compensating cell, and thus the target traffic load determined by the first equation may be greater than or less than the actual traffic load of the energy-saving cell, and thus p may be greater than 1 or less than 1. Of course, in one possible implementation, p may also be equal to 1.
In an alternative implementation manner, when determining the second target traffic load of the compensating cell, the second target traffic load may also be corrected according to the same method as the second formula, for example:
here, the
For the second modified traffic load, q j To compensate for the confidence factor of the cell.
It should be noted that, since the compensating cells may include a plurality of compensating cells and confidence factors corresponding to different compensating cells may be different, when determining the second correction traffic load of the compensating cell according to the above formula, the second correction traffic load of each compensating cell needs to be determined according to the above formula. For example, the compensation cell includes a first compensation cell and a second compensation cell, and the second corrected traffic load of the first compensation cell may be:
wherein ,
second modified traffic load for first compensating cell, q 1 And the confidence factor corresponding to the first compensation cell.
The second correction traffic load of the second compensation cell may be:
wherein ,
second modified traffic load for second compensating cell, q 2 And the confidence factor corresponding to the second compensation cell.
It should be noted that, the confidence factors corresponding to the energy-saving cell and the compensation cell may be obtained by those skilled in the art according to implementation, or may be determined according to relevant experimental experience, which is not limited to the embodiment of the present invention.
According to the embodiment, the confidence factor is introduced to correct the corrected service load of the energy-saving cell and the second corrected service load of the compensation cell again, so that the influence of inaccurate service loads caused by instability of service load change trend of the energy-saving cell and the compensation cell, errors of a prediction algorithm (corresponding AI algorithm) and the like can be reduced, actual service loads of the energy-saving cell and the compensation cell can be reflected more truly, and more accurate data support is provided for an energy-saving strategy of the energy-saving cell.
Optionally, as shown in fig. 4, before step S101, the method further includes:
s201, obtaining a third actual service load of the energy-saving cell in the first time period, and compensating a fourth actual service load of the cell in the first time period.
Wherein the first time period corresponds to the target time period and the first time period precedes the target time period.
S202, determining a first predicted traffic load according to the third actual traffic load, and determining a second predicted traffic load according to the fourth actual traffic load.
Specifically, the traffic prediction device stores an organic machine model for predicting the traffic load of the base station (or cell) in a future period of time according to the historical traffic load of the base station (or cell). Since the operation state information acquired from each base station (or cell) by the traffic prediction means may be used to indicate the historical traffic load of the base station (or cell), the traffic prediction means may predict the traffic load of each cell in the target period by the machine model and the corresponding historical traffic load of each cell.
The first time period here is a history time period corresponding to the target time period, and if the target time period is 17 time 00 minutes from 11 month 27 in 2020 to 17 time 00 minutes from 11 month 27 in 2020, then the first time period may be 17 time 00 minutes to 18 time 00 minutes from 11 month 20 in 2020 to 11 month 26 in 2020; of course, the first period may be other historical periods, which is not limited in this embodiment of the present invention. The service prediction device can predict the predicted service load of the target time period through the machine model according to the historical service load of the first time period, for example, the historical service load of the energy-saving cell in the first time period is a third actual service load, the historical service load of the compensation cell in the first time period is a fourth actual service load, and the service prediction device can predict and obtain the first predicted service load of the energy-saving cell in the target time period and the second predicted service load of the compensation cell in the target time period through the internal machine model.
Note that, in this embodiment, the energy saving cell and the compensation cell do not take energy saving operation in the first period. When the compensating cell includes a plurality of compensating cells, the corresponding second predicted traffic load can be determined by the same method, which is not described herein.
It should be noted that, the target traffic load and the corrected traffic load determined in the embodiment of the present invention are the traffic loads redistributed for the energy-saving cell when the energy-saving cell takes the energy-saving operation for the first time, and the target traffic load and the corrected traffic load can reflect the actual traffic load of the energy-saving cell in the target time period. In a future time period of the target time period, the service prediction device may use the target service load or the corrected service load to predict the service load of the energy-saving cell in the future time period, so as to avoid that the energy-saving cell affects the predicted service load thereof due to energy-saving operation, and further cause problems in an energy-saving strategy formulated according to the predicted service load, such as network quality degradation of the energy-saving cell or the compensation cell.
The service prediction method of the energy-saving cell provided by the embodiment of the invention comprises the following steps: acquiring a first predicted traffic load and a first actual traffic load of an energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period; determining a target traffic load of the energy-saving cell in a target time period according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load. In the embodiment of the invention, the energy-saving cell and the compensation cell have performed energy-saving operation in the target time period, so that part of the business of the energy-saving cell in the target time period has been migrated to the compensation cell, and therefore, the first actual business load cannot truly reflect the business load of the energy-saving cell in the target time period, but the total actual business load can truly reflect the total business load conditions of the energy-saving cell and the compensation cell in the target time period; the first predicted service load and the second predicted service load can estimate the service load conditions of the energy-saving cell and the compensation cell in a target time period, so that the proportion of the energy-saving cell in the total service load can be determined according to the first predicted service load and the total predicted service load, and the proportion and the actual total service load can be combined to determine the target service load of the energy-saving cell; the target service load is determined through the proportion of the energy-saving cell in the total amount of the first actual service load, namely the service load before the energy-saving cell shifts the service is determined, so that the target service load can more accurately reflect the actual service load of the energy-saving cell, and the accuracy of the service load prediction of the energy-saving cell is improved.
As shown in fig. 5, an embodiment of the present invention provides a service prediction apparatus 30 for an energy-saving cell, including:
an obtaining module 301, configured to obtain a first predicted traffic load and a first actual traffic load of the energy-saving cell in a target time period, and a second predicted traffic load and a second actual traffic load of the compensation cell in the target time period.
A processing module 302, configured to determine a target traffic load of the energy-saving cell in a target time period according to the first predicted traffic load, the predicted traffic load total amount, and the actual traffic load total amount acquired by the acquiring module 301; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load.
The traffic prediction device may be the traffic prediction device 30 of the energy-saving cell.
Further, the processing module 302 is specifically configured to: and determining the target traffic load according to a first formula according to the first predicted traffic load, the predicted traffic load total amount and the actual traffic load total amount.
Wherein, the first formula is:
Where Y is the target traffic load, P is the actual traffic load total, Q is the predicted traffic load total, and X is the first predicted traffic load.
Optionally, as shown in fig. 6, the traffic prediction device 30 of the energy-saving cell further includes a correction module 303.
The correction module 303 is configured to determine a corrected traffic load according to the target traffic load determined by the processing module 302 and the second formula.
Wherein, the second formula is:
here, the
To correct the traffic load, p is a confidence factor.
Optionally, as shown in fig. 7, the traffic prediction device 30 of the energy-saving cell further includes a prediction module 304.
The acquiring module 301 is further configured to acquire a third actual traffic load of the energy-saving cell in the first period of time, and a fourth actual traffic load of the compensation cell in the first period of time; the first time period corresponds to the target time period, and the first time period precedes the target time period.
A prediction module 304, configured to determine a first predicted traffic load according to the third actual traffic load acquired by the acquisition module 301, and determine a second predicted traffic load according to the fourth actual traffic load.
The service prediction device of the energy-saving cell provided by the embodiment of the invention comprises the following components: the acquisition module is used for acquiring a first predicted traffic load and a first actual traffic load of the energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period; the processing module is used for determining the target service load of the energy-saving cell in the target time period according to the first predicted service load, the predicted service load total amount and the actual service load total amount which are acquired by the acquisition module; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load. In the embodiment of the invention, the energy-saving cell and the compensation cell have performed energy-saving operation in the target time period, so that part of the business of the energy-saving cell in the target time period has been migrated to the compensation cell, and therefore, the first actual business load cannot truly reflect the business load of the energy-saving cell in the target time period, but the total actual business load can truly reflect the total business load conditions of the energy-saving cell and the compensation cell in the target time period; the first predicted service load and the second predicted service load can estimate the service load conditions of the energy-saving cell and the compensation cell in a target time period, so that the proportion of the energy-saving cell in the total service load can be determined according to the first predicted service load and the total predicted service load, and the proportion and the actual total service load can be combined to determine the target service load of the energy-saving cell; the target service load is determined through the proportion of the energy-saving cell in the total amount of the first actual service load, namely the service load before the energy-saving cell shifts the service is determined, so that the target service load can more accurately reflect the actual service load of the energy-saving cell, and the accuracy of the service load prediction of the energy-saving cell is improved.
As shown in fig. 8, the embodiment of the present invention further provides another traffic prediction device for an energy-saving cell, including a memory 41, a processor 42, a bus 43 and a communication interface 44; the memory 41 is used for storing computer-executable instructions, and the processor 42 is connected with the memory 41 through the bus 43; when the traffic prediction device of the energy saving cell is operated, the processor 42 executes the computer-executable instructions stored in the memory 41 to cause the traffic prediction device of the energy saving cell to perform the traffic prediction method of the energy saving cell as provided in the above-described embodiment.
In a particular implementation, as one embodiment, the processor 42 (42-1 and 42-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 8. And as one example, the traffic prediction device of the energy saving cell may include a plurality of processors 42, such as the processor 42-1 and the processor 42-2 shown in fig. 8. Each of these processors 42 may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor 42 herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The memory 41 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc read-only memory (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, 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. The memory 41 may be stand alone and be coupled to the processor 42 via a bus 43. Memory 41 may also be integrated with processor 42.
In a specific implementation, the memory 41 is used for storing data in the application and computer-executable instructions corresponding to executing a software program of the application. The processor 42 may operate or execute software programs stored in the memory 41 and invoke various functions of the traffic prediction device of the energy-saving cell by invoking data stored in the memory 41.
The communication interface 44 uses any transceiver-like device for communicating with other devices or communication networks, such as a control system, a radio access network (radio access network, RAN), a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 44 may include a receiving unit to implement a receiving function and a transmitting unit to implement a transmitting function.
The embodiment of the invention also provides a computer readable storage medium, which comprises computer execution instructions, when the computer execution instructions run on a computer, the computer is caused to execute the service prediction method of the energy-saving cell provided by the embodiment.
The embodiment of the invention also provides a computer program which can be directly loaded into a memory and contains software codes, and the computer program can realize the service prediction method of the energy-saving cell provided by the embodiment after being loaded and executed by a computer.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the present invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these 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.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units, for example, is merely a logical function division, and other manners of division are possible when actually implemented. For example, multiple units or components may be combined or may be integrated into another device, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. 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 the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the method described in the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (6)
1. A traffic prediction method for an energy-saving cell, comprising:
acquiring a first predicted traffic load and a first actual traffic load of an energy-saving cell in a target time period, and compensating a second predicted traffic load and a second actual traffic load of the cell in the target time period;
determining a target business load of the energy-saving cell in the target time period according to a first formula according to the first predicted business load, the predicted business load total amount and the actual business load total amount; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load;
determining a corrected traffic load according to the target traffic load and a second formula;
the first formula is:
wherein Y is the target traffic load, P is the actual traffic load total amount, Q is the predicted traffic load total amount, and X is the first predicted traffic load;
the second formula is:
wherein ,
for the correction traffic load, p is a confidence factor.
2. The traffic prediction method of an energy-saving cell according to claim 1, characterized by, before the acquiring the first predicted traffic load and the first actual traffic load of the energy-saving cell in the target period, and the compensating cell in the second predicted traffic load and the second actual traffic load in the target period, further comprising:
acquiring a third actual service load of the energy-saving cell in a first time period and a fourth actual service load of the compensation cell in the first time period; the first time period corresponds to the target time period, and the first time period is before the target time period;
and determining the first predicted traffic load according to the third actual traffic load, and determining the second predicted traffic load according to the fourth actual traffic load.
3. A traffic prediction apparatus for an energy-saving cell, comprising:
the acquisition module is used for acquiring a first predicted traffic load and a first actual traffic load of the energy-saving cell in a target time period, and a second predicted traffic load and a second actual traffic load of the compensation cell in the target time period;
the processing module is used for determining the target business load of the energy-saving cell in the target time period according to a first formula according to the first predicted business load, the predicted business load total amount and the actual business load total amount which are acquired by the acquisition module; the total predicted traffic load is the sum of the first predicted traffic load and the second predicted traffic load, the total actual traffic load is the sum of the first actual traffic load and the second actual traffic load, and the target traffic load is the corrected first predicted traffic load;
The correction module is used for determining a correction service load according to the target service load determined by the processing module and a second formula;
the first formula is:
wherein Y is the target traffic load, P is the actual traffic load total amount, Q is the predicted traffic load total amount, and X is the first predicted traffic load;
the second formula is:
wherein ,
for the correction traffic load, p is a confidence factor.
4. The traffic prediction device of the energy-saving cell according to claim 3, further comprising a prediction module;
the acquisition module is further configured to acquire a third actual traffic load of the energy-saving cell in a first period of time, and a fourth actual traffic load of the compensation cell in the first period of time; the first time period corresponds to the target time period, and the first time period is before the target time period;
the prediction module is configured to determine the first predicted traffic load according to the third actual traffic load acquired by the acquisition module, and determine the second predicted traffic load according to the fourth actual traffic load.
5. The service prediction device of the energy-saving cell 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; when the traffic prediction device of the energy saving cell is operated, the processor executes the computer-executable instructions stored in the memory to cause the traffic prediction device of the energy saving cell to perform the traffic prediction method of the energy saving cell according to any one of claims 1-2.
6. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the traffic prediction method of a power saving cell according to any of claims 1-2.
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