CN112469075B - 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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- CN112469075B CN112469075B CN202011488359.XA CN202011488359A CN112469075B CN 112469075 B CN112469075 B CN 112469075B CN 202011488359 A CN202011488359 A CN 202011488359A CN 112469075 B CN112469075 B CN 112469075B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The embodiment of the invention provides a service prediction method and device for an energy-saving cell, relates to the field of communication, and is 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. The method comprises the following steps: acquiring a first service load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in a target time period; determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period. 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 a service prediction 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 service load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in a target time period; determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period.
In a second aspect, a service prediction apparatus for an energy-saving cell is provided, including: an acquisition module, configured to acquire a first traffic load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in a target time period; the processing module is used for determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load acquired by the acquisition module; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period.
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 service load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in a target time period; determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period. 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 when all the services of the energy-saving cell in the target time period have been migrated to the compensation cell, the service load of the energy-saving cell is zero, and the first service load of the compensation cell not only comprises the service load of the compensation cell for bearing the service, but also comprises the service load of the energy-saving cell for transferring the service. Therefore, the first service load acquired in the target time period cannot truly reflect the service load of the compensation cell, and the service load of the energy-saving cell in the target time period is zero and cannot truly reflect the service load of the energy-saving cell; in this embodiment, according to the network system of the energy-saving cell and the compensation cell, the service load generated by the energy-saving cell transferring service can be determined from the first service load, so as to implement reallocation of the first service load, so as to determine the actual service loads corresponding to the energy-saving cell and the compensation cell respectively when the energy-saving cell and the compensation cell do not take energy-saving operation in the target time period. The energy-saving cell does not take energy-saving operation in the target time period, so that the service load can accurately reflect the real service load of the energy-saving cell, and the accuracy of predicting the service load of the energy-saving cell is improved.
Drawings
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 a service prediction apparatus for an energy-saving cell according to an embodiment of the present invention;
fig. 6 is a second schematic structural diagram of a service prediction apparatus for an energy-saving cell according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a service prediction apparatus for 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 service load of a compensation cell in a target time period.
The first service load is the total service load of the energy-saving cell and the compensation 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. Thus, the traffic prediction device may determine the corresponding first traffic load according to the KPI corresponding to the target time period of the compensation cell.
Likewise, the service prediction device may determine the corresponding service load according to the KPI corresponding to the energy-saving cell in the target time period. Of course, in the embodiment of the present invention, since the energy-saving cell adopts the energy-saving operation in the target time period, the service carried by the energy-saving cell is transferred to the compensation cell, so that the service load of the energy-saving cell in the target time period acquired by the service prediction device is zero. The first traffic load here is thus the total traffic load of the energy saving cell and the compensating cell.
In a possible implementation manner, 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., and those skilled in the art may obtain corresponding parameters as needed, so as to determine the traffic loads of the energy-saving cell and the compensation cell in the target time period.
When the energy-saving cell takes the energy-saving operation, only part of the service may be transferred to the compensating cell, and at this time, the service load of the energy-saving cell in the target time period is not zero.
S102, determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load.
The second traffic load is used for indicating the actual traffic load of the energy-saving cell in the target time period.
Specifically, the first traffic load is the sum of a second traffic load and a fourth traffic load, the second traffic load is the actual traffic load of the energy-saving cell in the target time period, and the fourth traffic load is the actual traffic load of the compensation cell in the target time period. The actual traffic load herein refers to the traffic load corresponding to each of the energy saving cell and the compensation cell when no energy saving operation is taken. For example, when the energy-saving cell does not take the energy-saving operation within the target time period, if the actual service load of the energy-saving cell is a and the actual service load of the compensation cell is B, the total service load is a+b; however, when the energy-saving cell takes the energy-saving operation in the target period, since the traffic load of the energy-saving cell is transferred to the compensation cell, the traffic load of the energy-saving cell acquired by the traffic prediction device is zero here, and the traffic load of the compensation cell is the first traffic load, i.e., a+b.
Because the service load of the energy-saving cell in the target time period is transferred to the compensation cell, the service loads of the energy-saving cell and the compensation cell in the target time period obtained by the service prediction device cannot truly reflect the change condition of the service load of the energy-saving cell and the compensation cell, and when the service prediction device predicts the service loads of the energy-saving cell and the compensation cell in the future time period according to the service loads of the energy-saving cell and the compensation cell obtained by the target time period, the obtained prediction result cannot truly reflect the service loads of the energy-saving cell and the compensation cell, and further the network quality of the energy-saving cell and the compensation cell is possibly reduced and the like according to the energy-saving strategies formulated by the service loads.
Therefore, after determining the first traffic load of the compensation cell in the target time period, the first traffic load needs to be redistributed to determine the actual traffic load situation of the energy-saving cell and the compensation cell.
In the embodiment of the present invention, the network system refers to a 4G network or a 5G network, and of course, the network system may also include other types, which is not limited to the embodiment of the present invention.
In one possible implementation, as shown in fig. 2, step S102 may include:
S1021a, when the network systems of the energy-saving cell and the compensation cell are different, determining a third service load corresponding to the first network system in a target time period according to the service information of the service corresponding to the first service load.
The first network system is a network system of an energy-saving cell.
Specifically, when the network systems of the energy-saving cell and the compensation cell are different, the terminal accessing the energy-saving cell and the terminal accessing the compensation cell are also different, for example, the network system of the energy-saving cell is a first network system, the network system of the compensation cell is a second network system, the type of the first terminal accessing the energy-saving cell is a first type, and the type of the second terminal accessing the compensation cell is a second type, and the types of the first terminal and the second terminal are also different due to the different network systems of the energy-saving cell and the compensation cell. Therefore, the service predicting device can determine the terminals corresponding to the services and the types corresponding to the terminals according to the service information of the bearer services.
After determining the type of the terminal corresponding to the load bearing service of the compensation cell, the service load corresponding to the service initiated by the network type mismatch terminal of the compensation cell can be determined as the service load of the energy-saving cell, namely the service load corresponding to the service transferred from the energy-saving cell to the compensation cell.
For example, the traffic load of the compensating cell in the target time period is a first traffic load, and the traffic carried in the target time period includes a first traffic, a second traffic and a third traffic, where the traffic load of the first traffic is C, the traffic load of the second traffic is D, and the traffic load of the third traffic is E, i.e., the first traffic load is c+d+e.
If the service prediction device determines that the type of the terminal corresponding to the first service is the first type, the type of the terminal corresponding to the second service is the second type, the type of the terminal corresponding to the third service is the second type, the terminal of the first type is matched with the first network system, and the terminal of the second type is matched with the second network system, it can be determined that the service load of the energy-saving cell transferred to the compensation cell is C, that is, the actual service load of the energy-saving cell in the target time period is C, and the actual service load of the compensation cell in the target time period is D+E. The terminal corresponding to the service refers to a terminal initiating the corresponding service, and the first service is initiated by a terminal of a first type, where the first service corresponds to the terminal of the first type.
In some possible implementations, if the compensation cell includes a plurality of compensation cells, such as a first compensation cell and a second compensation cell, the energy-saving cell may split the traffic carried by the energy-saving cell to the first compensation cell and the second compensation cell when taking the energy-saving operation. At this time, it is necessary to determine the traffic load transferred from the energy saving cell to the first and second compensation cells, respectively.
The first traffic load of the first compensation cell in the target time period is a, and the first traffic load of the second compensation cell in the target time period is B; if the energy-saving cell is in a first network system, the first compensation cell and the second compensation cell are in a second network system, and the first service load A is determined to include the service load C corresponding to the first network system according to the method, and the second service load includes the service load D corresponding to the first network system, then it can be determined that the third service load corresponding to the first network system (energy-saving cell) is C+D in the target time period. At this time, the traffic load actually generated by the first compensation cell is A-C, and the traffic load actually generated by the second compensation cell is B-D.
It should be noted that, the type of the terminal corresponding to the offset cell bearer service may be determined by various methods. For example, when a terminal initiates service flows, the request information corresponding to the service flows may include network system information of the terminal, and the type of the terminal may be determined according to the network system information of the terminal; of course, the network system of the terminal is the same as the network system of the access cell, so after the network system of the terminal is determined, the network system of the access cell of the terminal can be determined.
For another example, the service prediction device may pre-store a capability information base of the terminal, where the capability information base may include parameters such as wireless capability information of the terminal and a terminal type corresponding to the wireless capability information; when a terminal initiates a service flow through a cell, the terminal can report the capacity information of the terminal to a service prediction device, and the service prediction device can determine the type of the terminal according to the capacity information reported by the terminal and the capacity information base, so as to determine the network system of the terminal accessing the cell.
And S1022a, determining the second traffic load according to the third traffic load.
Specifically, the third traffic load refers to the traffic load transferred from the energy-saving cell to the compensation cell, and when the compensation cell only includes one of the traffic loads, the third traffic load corresponding to the first network system in the first traffic load of the compensation cell can be determined as the second traffic load; when the compensating cell includes a plurality of compensating cells, third business loads corresponding to the first network system in the first business loads of the compensating cells are needed to be overlapped to determine the second business load. For example, the network systems of the compensation cells are all second network systems, and the network systems of the energy-saving cells are first network systems. And the second service load of the energy-saving cell is E+F, wherein the third service load corresponding to the first network system in the first service load of the first compensation cell is E, and the third service load corresponding to the first network system in the first service load of the second compensation cell is F.
Steps S1021a-S1022a provide a method for determining an actual second traffic load of the energy saving cell when the network systems of the energy saving cell and the compensation cell are the same. And when the network systems of the energy-saving cell and the compensation cell are different, the second service load of the energy-saving cell can be determined by other methods.
In a possible implementation manner, as shown in fig. 3, step S102 may further include:
s1021b, when the network systems of the energy-saving cell and the compensation cell are the same, determining a second service load of the energy-saving cell in a target time period according to the first service load and a first formula.
The first formula specifically comprises:
Y＝q·X；
where Y is the second traffic load, q is the proportion of the energy-saving cell in the total traffic load, and X is the first traffic load.
In particular, the proportion of the traffic load of the energy-saving cell in the total traffic load can be determined experimentally by the person skilled in the art, for example:
n is the predicted traffic load of the energy-saving cell in the target time period according to the historical traffic load of the energy-saving cell, and M is the total traffic load of the energy-saving cell and the compensating cell in the target time period according to the predicted historical traffic load of the energy-saving cell and the compensating cell. The historical service loads of the energy-saving cell and the compensating cell refer to the historical service loads when the energy-saving cell and the compensating cell do not take energy-saving operation, and the energy-saving cell and the compensating cell take energy-saving operation for the first time in a target time period.
In a possible implementation manner, since the energy-saving cell transfers the service load of the transfer service to the compensation cell only from the energy-saving cell when the energy-saving cell transfers the service to the compensation cell, and the service load of the transfer service is not changed, the actual total service load 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 total service load can truly reflect the total service loads of the energy-saving cell and the compensation cell in the target time period. Thus, the second traffic load of the energy saving cell can be determined here on the basis of the above-mentioned ratio and the total traffic load.
Exemplary, if the predicted traffic load of the energy-saving cell in the target time period is
The predicted traffic load of the first compensating cell in the target time period is +.>
The predicted traffic load of the second compensation cell in the target time period is
The total predicted traffic load of the energy saving cell and the compensating cell is +.>
At this time, a->
The second service load of the energy-saving cell is
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.
In a possible implementation manner, when the compensating cell includes a plurality of compensating cells, the proportion of the energy-saving cell in the total traffic load may be:
wherein, the liquid crystal display device comprises a liquid crystal display device,
predictive traffic load for energy-saving cells, +.>
To compensate for the predicted traffic load of the cell. 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 predicted traffic load of the first compensation cell in the target time period is
The predicted traffic load of the second compensation cell in the target time period is +.>
The predicted traffic load of the third compensation cell in the target time period is
The energy-saving cell is in the target time periodIs +.>
Then
The second service load of the energy-saving cell is
In the embodiment of the invention, since the energy-saving cell takes the energy-saving operation in the target time period, the service prediction device obtains that the service load of the energy-saving cell in the target time period is zero (the actual service load of the compensation cell is transferred to the compensation cell), so that the total service load can also refer to the first service load, namely the service load of the compensation cell obtained by the service prediction device.
Here, the predicted traffic load of the energy saving cell and the compensating cell in the target period may be determined by the traffic prediction device through an AI algorithm according to the traffic load of the corresponding history period.
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 predicted service load of the energy-saving cell in the target time period 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 the predicted traffic load of the compensating cell during the target time period.
In the embodiment of the present invention, the predicted traffic load of the energy-saving cell is obtained by predicting the traffic prediction device according to the historical traffic load of the energy-saving cell when the energy-saving cell is not performing the energy-saving operation, and the predicted traffic load of the compensation cell is obtained by predicting the traffic prediction device according to the historical traffic load of the compensation cell when the energy-saving cell is not performing the energy-saving operation. If the energy-saving cell does not perform the energy-saving operation, the service prediction device can determine the predicted service load of the energy-saving cell in the target time period according to the historical service load of the historical time period, for example, from 17 hours 00 minutes to 18 hours 00 minutes of 20 days in 11 months in 2020 to 26 days in 11 months.
In one possible implementation manner, when the compensating cell includes a plurality of compensating cells, a person skilled in the art may also determine, according to the historical transition traffic load situation between the energy-saving cell and the compensating cell, a proportion of the energy-saving cell in the total traffic load between different compensating cells, for example, a proportion of the traffic load of the energy-saving cell in the total traffic load of the compensating cell with the first compensating cell may be q 1 The proportion of the total traffic load with the second compensation cell can be q 2 At this time, the second traffic load of the energy-saving cell is y=q 1 ·X 1 +q 2 ·X 2 . Wherein X is 1 For a first traffic load of a first compensating cell, X 2 A first traffic load for a second compensating cell. The method for determining the proportion of the energy-saving cell in the total traffic load of different compensation cells is the same as the method for determining the proportion of the energy-saving cell in the total traffic load of all compensation cells, only M and N in the above formula are replaced, and the description is omitted here.
At this time, the actual traffic load of the first compensation cell is Z 1 ＝(1-q 1 )·X 1 The actual traffic load of the second compensation cell is Z 2 ＝(1-q 2 )·X 2 。
In a possible implementation manner, after determining the second traffic load of the energy-saving cell in the target time period, the actual traffic load of the compensating cell in the target time period, that is, the difference between the first traffic load and the second traffic load, may also be determined. For example, if the first traffic load of the compensating cell in the target period is X and the second traffic load of the determined energy-saving cell in the target period is Y, the fourth traffic load of the compensating cell in the target period is z=x-Y.
In the embodiment of the invention, when the energy-saving cell and the compensation cell have performed energy-saving operation in the target time period, different methods can be adopted to determine the actual service load of the energy-saving cell in the target time period according to the network system between the energy-saving cell and the compensation cell, and the total service load of the compensation cell is redistributed, so that the accuracy of predicting the service loads of the energy-saving cell and the compensation cell is improved, accurate data support is provided for the formulation of an energy-saving strategy, and the error of the energy-saving strategy caused by the error of predicting the service load can be avoided, thereby avoiding the network quality of the energy-saving cell and the compensation cell from being reduced.
In a possible implementation manner, as shown in fig. 4, after step S1022a or S1021b, the method further includes:
s103, determining the corrected service load according to the second service load and the second formula.
The second formula specifically comprises:
here, the
To correct the traffic load, p is the confidence factor and Y is the second traffic load.
Specifically, since the predicted traffic load may differ from the actual traffic load of the energy saving cell and the compensating cell when predicting the traffic load of the energy saving cell and the compensating cell from the historical traffic load, for example, the predicted traffic load of the energy saving cell differs from the actual traffic load thereof, and the predicted traffic load of the compensating cell differs from the actual traffic load thereof. Therefore, when the above ratio is determined according to the predicted traffic loads of the energy saving cell and the compensating cell, and the second traffic load of the energy saving cell is determined according to the ratio, the obtained second traffic load may be different from the actual traffic load of the energy saving cell. Therefore, a second formula is introduced here, and the second traffic load is modified by the confidence factor p so that the second traffic load is closer to the actual traffic load of the energy-saving cell.
It should be noted that, since the predicted traffic load of the energy-saving cell may be greater than the actual traffic load of the energy-saving cell, the predicted traffic load may be less than the actual traffic load of the energy-saving cell; and the predicted traffic load of the compensating cell may be greater than the actual traffic load of the compensating cell or may be less than the actual traffic load of the compensating cell, so that the second traffic load determined by the first formula may be greater than the actual traffic load of the energy saving cell 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 fourth traffic load of the compensating cell, the fourth traffic load of the compensating cell may also be modified according to the same method as the second formula, for example:
here, the
To compensate for the corrected traffic load corresponding to the fourth traffic load of the cell, p j To compensate for the confidence factor corresponding to the cell, Z j To compensate for the fourth traffic load 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 correction traffic load corresponding to the compensating cell according to the above formula, it is necessary to determine the correction traffic load corresponding to each compensating cell according to the above formula. For example, if the compensation cell includes a first compensation cell and a second compensation cell, the corrected traffic load corresponding to the first compensation cell may be:
Wherein, the liquid crystal display device comprises a liquid crystal display device,
for the correction traffic load corresponding to the first compensation cell, p 1 For the confidence factor corresponding to the first compensation cell, Z 1 And fourth traffic load for the first compensating cell.
The corrected traffic load corresponding to the second compensation cell may be:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the correction traffic load corresponding to the first compensation cell, p 2 For the confidence factor corresponding to the first compensation cell, Z 2 And fourth traffic load for the first compensating 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. And when the fourth service loads of the energy-saving cell and the compensation cell are corrected according to the corresponding confidence factors, the network systems of the energy-saving cell and the compensation cell are the same.
In one possible implementation manner, when the network system of the energy-saving cell and the network system of the compensation cell are the same, the determined second service load of the energy-saving cell and the determined fourth service load of the compensation cell already conform to the actual service load situation, so when the network systems of the energy-saving cell and the compensation cell are the same, the confidence factors corresponding to the energy-saving cell and the compensation cell are 1 when the second service load of the energy-saving cell and the fourth service load corresponding to the compensation cell are adjusted according to the second formula 
According to the embodiment, the confidence factor is introduced to correct the second service load of the energy-saving cell and the fourth 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 related prediction algorithms (corresponding AI algorithms) 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.
It should be noted that, the second traffic load and the modified 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 second traffic load and the modified traffic load can better 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 second 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 service load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in a target time period; determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period. 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 when all the services of the energy-saving cell in the target time period have been migrated to the compensation cell, the service load of the energy-saving cell is zero, and the first service load of the compensation cell not only comprises the service load of the compensation cell for bearing the service, but also comprises the service load of the energy-saving cell for transferring the service. Therefore, the first service load acquired in the target time period cannot truly reflect the service load of the compensation cell, and the service load of the energy-saving cell in the target time period is zero and cannot truly reflect the service load of the energy-saving cell; in this embodiment, according to the network system of the energy-saving cell and the compensation cell, the service load generated by the energy-saving cell transferring service can be determined from the first service load, so as to implement reallocation of the first service load, so as to determine the actual service loads corresponding to the energy-saving cell and the compensation cell respectively when the energy-saving cell and the compensation cell do not take energy-saving operation in the target time period. The energy-saving cell does not take energy-saving operation in the target time period, so that the service load can accurately reflect the real service load of the energy-saving cell, and the accuracy of predicting the service load of the energy-saving cell is improved.
As shown in fig. 5, an embodiment of the present invention provides a service prediction apparatus 20 for an energy-saving cell, including:
an obtaining module 201, configured to obtain a first traffic load of the compensation cell in a target time period; the first traffic load is the total traffic load of the energy saving cell and the compensating cell in the target time period.
A processing module 202, configured to determine a second traffic load of the energy-saving cell in the target time period according to the network systems of the energy-saving cell and the compensation cell and the first traffic load acquired by the acquisition module 201; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period.
The traffic prediction device may be the traffic prediction device 20 of the energy-saving cell.
Optionally, the processing module 202 is specifically configured to: when the network systems of the energy-saving cell and the compensation cell are different, determining a third service load corresponding to the first network system in a target time period according to the service information of the service corresponding to the first service load; the first network system is a network system of an energy-saving cell; and determining the second traffic load according to the third traffic load.
Optionally, the processing module 202 is specifically configured to: and when the network systems of the energy-saving cell and the compensation cell are the same, determining a second service load of the energy-saving cell in a target time period according to the first service load and a first formula.
The first formula is specifically:
Y＝q·X；
wherein Y is the second traffic load, q is the proportion of the energy-saving cell in the total traffic load, and X is the first traffic load.
Optionally, as shown in fig. 6, the traffic prediction device 20 of the energy-saving cell further includes a correction module 203.
The correction module 203 is configured to determine a corrected traffic load according to the second traffic load and the second formula.
The second formula is specifically:
wherein, the liquid crystal display device comprises a liquid crystal display device,
to correct the traffic load, p is the confidence factor and Y is the second traffic load.
The service prediction device of the energy-saving cell provided by the embodiment of the invention comprises the following components: an acquisition module, configured to acquire a first traffic load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in a target time period; the processing module is used for determining a second service load of the energy-saving cell in a target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load acquired by the acquisition module; the second traffic load is used to indicate the actual traffic load of the energy-saving cell during the target time period. 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 when all the services of the energy-saving cell in the target time period have been migrated to the compensation cell, the service load of the energy-saving cell is zero, and the first service load of the compensation cell not only comprises the service load of the compensation cell for bearing the service, but also comprises the service load of the energy-saving cell for transferring the service. Therefore, the first service load acquired in the target time period cannot truly reflect the service load of the compensation cell, and the service load of the energy-saving cell in the target time period is zero and cannot truly reflect the service load of the energy-saving cell; in this embodiment, according to the network system of the energy-saving cell and the compensation cell, the service load generated by the energy-saving cell transferring service can be determined from the first service load, so as to implement reallocation of the first service load, so as to determine the actual service loads corresponding to the energy-saving cell and the compensation cell respectively when the energy-saving cell and the compensation cell do not take energy-saving operation in the target time period. The energy-saving cell does not take energy-saving operation in the target time period, so that the service load can accurately reflect the real service load of the energy-saving cell, and the accuracy of predicting the service load of the energy-saving cell is improved.
Referring to fig. 7, the embodiment of the present invention further provides another traffic prediction apparatus for an energy-saving cell, including a memory 31, a processor 32, a bus 33, and a communication interface 34; the memory 31 is used for storing computer-executable instructions, and the processor 32 is connected with the memory 31 through the bus 33; when the traffic prediction device of the energy saving cell is operated, the processor 32 executes the computer-executable instructions stored in the memory 31 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 32 (32-1 and 32-2) may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 7. And as an example, the traffic prediction device of the energy saving cell may include a plurality of processors 32, such as the processor 32-1 and the processor 32-2 shown in fig. 7. Each of these processors 32 may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor 32 herein may refer to one or more devices, circuitry, and/or processing cores for processing data (e.g., computer program instructions).
The memory 31 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 (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 31 may be stand alone and may be coupled to the processor 32 via a bus 33. The memory 31 may also be integrated with the processor 32.
In a specific implementation, the memory 31 is configured to store data in the present application and computer-executable instructions corresponding to executing software programs of the present application. The processor 32 may operate or execute software programs stored in the memory 31 and invoke various functions of the traffic prediction device of the energy-saving cell by invoking data stored in the memory 31.
The communication interface 34 uses any transceiver-like means 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 34 may include a receiving unit implementing a receiving function and a transmitting unit implementing 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, wherein after the energy-saving cell takes an energy-saving operation, the method comprises:
acquiring a first service load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in the target time period;
determining a second service load of the energy-saving cell in the target time period according to the network systems of the energy-saving cell and the compensation cell and the first service load; the second service load is used for indicating the actual service load of the energy-saving cell in the target time period;
the determining, according to the network systems of the energy-saving cell and the compensation cell and the first service load, the second service load of the energy-saving cell in the target time period includes:
when the network systems of the energy-saving cell and the compensation cell are the same, determining the second service load of the energy-saving cell in the target time period according to the first service load and a first formula;
the first formula specifically comprises:
Y＝q·X；
wherein Y is the second service load, q is the proportion of the energy-saving cell in the total service load, and X is the first service load;
After determining the second traffic load, further comprising:
determining a corrected traffic load according to the second traffic load and a second formula;
the second formula is specifically:
wherein, the liquid crystal display device comprises a liquid crystal display device,
and for the corrected service load, p is a confidence factor, and Y is the second service load.
2. The traffic prediction method of an energy-saving cell according to claim 1, wherein the determining, according to network systems of the energy-saving cell and the compensation cell, the second traffic load of the energy-saving cell in the target period of time according to the first traffic load includes:
when the network systems of the energy-saving cell and the compensation cell are different, determining a third service load corresponding to the first network system in the target time period according to the service information of the service corresponding to the first service load; the first network system is the network system of the energy-saving cell;
and determining the second service load according to the third service load.
3. A traffic prediction apparatus for an energy-saving cell, the apparatus comprising:
an acquisition module, configured to acquire a first traffic load of a compensation cell in a target time period; the first service load is the total service load of the energy-saving cell and the compensation cell in the target time period;
The processing module is used for determining a second business load of the energy-saving cell in the target time period according to the network systems of the energy-saving cell and the compensation cell and the first business load acquired by the acquisition module; the second service load is used for indicating the actual service load of the energy-saving cell in the target time period;
the processing module is specifically configured to:
when the network systems of the energy-saving cell and the compensation cell are the same, determining the second service load of the energy-saving cell in the target time period according to the first service load and a first formula;
the first formula specifically comprises:
Y＝q·X；
wherein Y is the second service load, q is the proportion of the energy-saving cell in the total service load, and X is the first service load;
the apparatus further comprises a correction module:
the correction module is used for determining a correction service load according to the second service load and a second formula;
the second formula is specifically:
wherein, the liquid crystal display device comprises a liquid crystal display device,
and for the corrected service load, p is a confidence factor, and Y is the second service load.
4. The traffic prediction device of the energy-saving cell according to claim 3, wherein the processing module is specifically configured to:
When the network systems of the energy-saving cell and the compensation cell are different, determining a third service load corresponding to the first network system in the target time period according to the service information of the service corresponding to the first service load; the first network system is the network system of the energy-saving cell;
and determining the second service load according to the third service 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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| CN113891439A (en) * | 2021-10-18 | 2022-01-04 | 中国联合网络通信集团有限公司 | Cell energy saving method and device, electronic equipment and storage medium |
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