CN112533270B - Base station energy-saving processing method and device, electronic equipment and storage medium - Google Patents
Base station energy-saving processing method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN112533270B CN112533270B CN202011492770.4A CN202011492770A CN112533270B CN 112533270 B CN112533270 B CN 112533270B CN 202011492770 A CN202011492770 A CN 202011492770A CN 112533270 B CN112533270 B CN 112533270B
- Authority
- CN
- China
- Prior art keywords
- cell
- base station
- energy
- saving
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a processing method, a device, electronic equipment and a storage medium for saving energy of a base station, which are characterized in that cell data before the current moment of a cell corresponding to the base station is obtained, and the cell data at the next moment is determined according to the cell data before the current moment; determining the value degree of a cell corresponding to the base station according to the cell data at the next moment; outputting a corresponding energy-saving instruction according to the value degree of the cell; according to the energy-saving instruction, the base station is subjected to energy-saving processing; the embodiment of the invention determines the value degree of the cell through the cell data with multiple dimensions, improves the accuracy of obtaining the value degree of the cell, predicts the cell data at the next moment according to the cell data before the current moment and realizes the real-time online energy-saving control of the base station.
Description
Technical Field
The present invention relates to communications technologies, and in particular, to a processing method and apparatus for saving energy of a base station, an electronic device, and a storage medium.
Background
With the characteristics of large quantity, wide distribution and full coverage presented by the base station of an operator, the cost generated by the operation of the base station is gradually increased, so that the method has important significance on how to effectively realize energy conservation and emission reduction of the base station.
In the existing base station energy saving scheme, the value degree of a cell is mainly evaluated by using a plurality of limited indexes such as Physical Resource Blocks (PRBs) for short, a coverage rate and the like, so as to further formulate the base station energy saving scheme.
However, the above scheme only adopts a few limited indexes to determine, the accuracy of the obtained cell value degree is not high, and online real-time energy-saving control cannot be performed on the base station.
Disclosure of Invention
In order to solve the above problems, the present invention provides a processing method, an apparatus, an electronic device and a storage medium for saving energy of a base station.
In a first aspect, the present invention provides a processing method for saving energy of a base station, including: acquiring cell data of a cell corresponding to a base station before the current time, and determining the cell data of the next time according to the cell data before the current time; determining the value degree of a cell corresponding to the base station according to the cell data at the next moment; outputting a corresponding energy-saving instruction according to the value degree of the cell; and according to the energy-saving instruction, the base station is subjected to energy-saving processing.
In other optional embodiments, the cell data comprises at least one of: user count data, network performance data, and measurement report MR coverage data.
In other optional embodiments, the user count data includes a steady-state user number and a high-value user number, where the high-value user is a user whose average user income ARPU value is higher than a preset threshold; the network performance data comprises an uplink Physical Resource Block (PRB) utilization rate, a downlink Physical Resource Block (PRB) utilization rate, uplink flow and downlink flow; the determining the value degree of the cell corresponding to the base station according to the cell data at the next moment comprises: determining the number of steady-state users, the number of high-value users, the utilization rate of uplink PRBs, the utilization rate of downlink PRBs, the corresponding weights of uplink flow and downlink flow; and determining the value degree of the cell according to the steady-state user number, the high-value user number, the uplink PRB utilization rate, the downlink PRB utilization rate, the uplink flow, the downlink flow, the corresponding weight and the MR coverage rate data.
In other optional embodiments, the outputting a corresponding energy saving instruction according to the value degree of the cell includes: and when the value degree of the cell is smaller than a preset value degree threshold value, outputting an energy-saving instruction.
In other optional embodiments, the determining the cell data of the next time according to the cell data before the current time includes: and inputting the cell data before the current moment into the Hall special-temperature time sequence prediction model, and outputting the cell data at the next moment.
In other optional embodiments, before determining the value degree of the cell corresponding to the base station according to the cell data at the next time, the method further includes: normalizing the cell data at the next moment to obtain normalized cell data at the next moment; the determining the value degree of the cell corresponding to the base station according to the cell data at the next moment comprises: and determining the value degree of the cell corresponding to the base station according to the normalized cell data at the next moment.
In other optional embodiments, after the energy-saving processing of the base station, the method further includes: when the base station in the energy-saving state lasts for a preset time, outputting a recovery instruction; and restoring the base station to the state before the energy-saving processing is not carried out according to the restoring instruction.
In a second aspect, the present invention provides a processing apparatus for saving energy of a base station, including: the first processing module is used for acquiring cell data before the current moment of a cell corresponding to a base station, and determining the cell data at the next moment according to the cell data before the current moment; the second processing module is used for determining the value degree of the cell corresponding to the base station according to the cell data at the next moment; the instruction output module is used for outputting a corresponding energy-saving instruction according to the value degree of the cell; and the energy-saving processing module is used for carrying out energy-saving processing on the base station according to the energy-saving instruction.
In a third aspect, the present invention provides an electronic device comprising: at least one processor and memory; the memory stores computer execution instructions; the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any one of the first aspects.
In a fourth aspect, the present invention provides a readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the method according to any one of the first aspect.
The invention provides a processing method, a device, electronic equipment and a storage medium for saving energy of a base station, which are characterized in that cell data before the current moment of a cell corresponding to the base station is obtained, and the cell data at the next moment is determined according to the cell data before the current moment; determining the value degree of a cell corresponding to the base station according to the cell data at the next moment; outputting a corresponding energy-saving instruction according to the value degree of the cell; according to the energy-saving instruction, the base station is subjected to energy-saving processing; the method and the device for predicting the base station value degree accurately predict the multi-dimensional cell data at the next moment by acquiring the multi-dimensional cell data before the current moment, further determine the value degree of the cell, and further determine whether to perform energy-saving processing on the base station.
Drawings
Fig. 1 is a schematic view of an application scenario provided by the present invention;
fig. 2 is a schematic flow chart of a processing method for saving energy of a base station according to the present invention;
FIG. 3 is a flow chart of another processing method for saving energy of a base station according to the present invention;
fig. 4 is a schematic structural diagram of a processing apparatus for saving energy of a base station according to the present invention;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to the present invention.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
With the characteristics of large quantity, wide distribution, full coverage and the like presented by the base stations of operators, the electricity charge cost generated by the operation of the base stations becomes an important component in the cost expenditure of enterprises. With the impact of continuous network construction investment and rapid development of the mobile internet, telecom operators face the pressure of 'cost increase too fast and income increase slowly'. Therefore, the method has important significance in realizing energy conservation and emission reduction of the base station (cell) under the condition of ensuring normal service of the user.
Considering that the network service scenarios of the base station cell are complex and changeable, in the existing base station energy saving scheme, the energy saving scheme is mainly formulated comprehensively according to the historical conditions and the coverage conditions of service bearing efficiency indexes (such as uplink and downlink PRB utilization rates and uplink and downlink traffic).
However, the above scheme only evaluates the performance of the base station cell through a few limited indexes such as utilization rate, flow rate and the like, and cannot establish an image of the base station cell to further determine whether the base station cell has energy-saving potential in the time period, that is, the accuracy of the value degree of the obtained cell is not high; moreover, the existing energy-saving scheme is mainly limited to mining the periodic rule of the historical data, and does not have the condition of predicting the service bearing of the base station cell in the next time period on line in real time, that is, the base station cannot be controlled to save energy on line in real time.
Aiming at the problems, the technical idea of the invention is that the value degree of the cell is calculated through the cell data with multiple dimensions, and the accuracy of obtaining the value degree of the cell is improved; and the cell data at the next moment is predicted through the collected cell data before the current moment, so that the real-time online energy-saving control on the base station is realized.
Fig. 1 is a schematic view of an application scenario provided by the present invention, and as shown in fig. 1, the application scenario provided by the present invention includes a base station 1, a plurality of terminal devices 2 reside in a cell corresponding to the base station 1, and a server 3, where the server 3 collects cell data of the plurality of terminal devices 2 in the cell corresponding to the base station 1, and then executes a processing method for saving energy of the base station according to the following embodiment.
In a first aspect, an embodiment of the present invention provides a method for processing energy saving of a base station, and fig. 2 is a schematic flow diagram of the method for processing energy saving of a base station provided in the present invention.
As shown in fig. 2, the processing method for saving energy of the base station includes:
Specifically, assuming that the current time is t, the execution subject server 3 of the present embodiment may acquire cell data before the current time t. Optionally, the cell data includes at least one of the following: user counting data, network performance data and Measurement Report (MR) coverage data; further, the User count data includes a steady-state User number and a high-value User number, where the high-value User is a User whose Average User income (Average Revenue Per User, ARPU for short) value is higher than a preset threshold; the network performance data comprises uplink Physical Resource Block (PRB) utilization rate, downlink Physical Resource Block (PRB) utilization rate, uplink flow and downlink flow.
The steady-state user number refers to the number of users staying in the cell for a long time, the high-value user number refers to the user with the ARPU value of the user in the current month larger than a preset threshold value, the preset threshold value can be set according to experience of technical staff in the field, for example, 100 yuan, namely, the ARPU value of the user in the current month is larger than 100, the user is determined to be the high-value user, and optionally, the user counting data can further comprise the number of visitors, and the visitors can be the users with the ARPU values of the users in multiple continuous months larger than the preset threshold value.
And 102, determining the cell data of the next moment according to the cell data before the current moment.
Optionally, step 102 includes: and inputting the cell data before the current moment into the Hall special-temperature time sequence prediction model, and outputting the cell data at the next moment.
Specifically, the Holt-Winters (Holt-Winters) method is a time series analysis and prediction method that can predict future trends in a short time. In this embodiment, cell data with an hour granularity of 30 days in history before the current time may be acquired, and the cell data may be input into the Holt-Winters model, so as to acquire cell data at the next time t + 1.
And 103, determining the value degree of the cell corresponding to the base station according to the cell data at the next moment.
Optionally, step 103 includes: determining the number of steady-state users, the number of high-value users, the utilization rate of PRBs (physical resource blocks) of uplink physical resources, the utilization rate of PRBs of downlink physical resources, uplink flow and corresponding weight of downlink flow; and determining the value degree of the cell according to the steady-state user number, the high-value user number, the utilization rate of an uplink physical resource block, the utilization rate of a downlink physical resource block, the uplink flow, the downlink flow, the corresponding weight and the MR coverage rate data.
Specifically, the value degree of the cell is in a proportional relationship with seven indexes, namely, the steady-state user number, the high-value user number, the guest user number, the uplink PRB utilization rate, the downlink PRB utilization rate, the uplink flow rate and the downlink flow rate, and is in an inverse relationship with the index, namely, the larger the steady-state user number, the high-value user number, the guest user number, the uplink PRB utilization rate, the downlink PRB utilization rate, the uplink flow rate and the downlink flow rate of the cell are, the higher the value degree of the cell is, the lower the MR coverage rate is, and the higher the value degree of the cell is. In this embodiment, weights corresponding to seven indexes, namely, a steady-state user number, a high-value user number, a guest user number, an uplink PRB utilization rate, a downlink PRB utilization rate, an uplink traffic and a downlink traffic, may be set according to experience of a person skilled in the art; and multiplying the seven indexes by respective weights respectively, then adding the seven indexes, and then multiplying the seven indexes by the inverse proportion data of the MR coverage rate to finally obtain the value degree of the cell at the next moment.
And 104, outputting a corresponding energy-saving instruction according to the value degree of the cell.
Optionally, step 104 includes: and when the value degree of the cell is smaller than a preset value degree threshold value, outputting an energy-saving instruction.
Specifically, the preset value degree threshold is set according to experience of a person skilled in the art, and the present invention is not limited to this, for example, the preset value degree threshold may be set to 0.1, that is, when the calculated value degree of the cell is less than 0.1, the energy saving command is output; when the value degree of the cell is high, for example, 0.3, the value degree of the cell at the time t +2 of the cell may be continuously monitored.
And 105, performing energy-saving processing on the base station according to the energy-saving instruction.
Specifically, relevant parameters of the base station can be adjusted, or some unnecessary devices for processing the base station can be turned off, so that energy conservation and emission reduction of the base station are realized.
Optionally, after step 105, the method further includes: when the base station in the energy-saving state lasts for a preset time, outputting a recovery instruction; and restoring the base station to a state before the energy-saving processing is not performed according to the restoring instruction.
Specifically, when the value degree of the cell at the time t +1 is lower than the preset value degree threshold value, the base station is subjected to energy saving processing at the time t +1, and the base station can automatically return to the state without energy saving processing at the time t + 2. Then, the base station can predict the cell data at the time t +2 according to the cell data before the time t +1, then calculate the cell value degree at the time t +2, and determine whether to perform energy-saving processing at the time t +2 according to the cell value degree, so that the energy-saving control on the base station in real time is realized in a circulating manner.
The embodiment of the invention provides a processing method for saving energy of a base station, which comprises the steps of obtaining cell data before the current time of a cell corresponding to the base station, and determining the cell data at the next time according to the cell data before the current time; determining the value degree of a cell corresponding to the base station according to the cell data at the next moment; outputting a corresponding energy-saving instruction according to the value degree of the cell; according to the energy-saving instruction, the base station is subjected to energy-saving processing; the method and the device for predicting the base station value degree accurately predict the multi-dimensional cell data at the next moment by acquiring the multi-dimensional cell data before the current moment, further determine the value degree of the cell, and further determine whether to perform energy-saving processing on the base station.
With reference to the foregoing embodiments, fig. 3 is a schematic flowchart of another processing method for saving energy of a base station according to the present invention, and as shown in fig. 3, the processing method for saving energy of a base station includes:
And 202, determining the cell data of the next moment according to the cell data before the current moment.
And 203, normalizing the cell data at the next moment to obtain normalized cell data at the next moment.
And 204, determining the value degree of the cell corresponding to the base station according to the normalized cell data at the next moment.
And 205, outputting a corresponding energy-saving instruction according to the value degree of the cell.
And step 206, performing energy-saving processing on the base station according to the energy-saving instruction.
Different from the foregoing embodiment, in order to facilitate a user to intuitively determine the value degree of the cell, normalization processing may be performed on the value degree of the cell, that is, in this embodiment, normalization processing is performed on the cell data at the next time to obtain normalized cell data at the next time; and determining the value degree of the cell corresponding to the base station according to the normalized cell data at the next moment.
Specifically, cell data before the current time t is obtained, then the cell data before the current time t is input into a Holt-Winters model, and cell data at the time of t +1, such as { I }, is output w ,I h ,I v ,P u ,P d ,I u ,I d M, then normalizing each index to obtain normalized cell data { CI } w ,CI h ,CI v ,P u ,P d ,FI u ,FI d M, and determining the corresponding weight of each index as { P } 1 ，P 2 ，P 3 ，P 4 ，P 5 ，P 6 ，P 7 Then, the cell cost V at time t +1 can be calculated according to formula (1), where formula (1) is as follows:
V＝(CI w ×P 1 +CI h ×P 2 +CI v ×P 3 +P u ×P 4 +P d ×P 5 +FI u ×P 6 +FI d ×P 7 )
×min(1,1/e 10*m-7 ) (1)
wherein, I w Number of steady-state users, P 1 The weight is corresponding to the index of the steady-state user number; i is h Is a high value user number, P 2 The weight corresponding to the high-value user number index; i is v Number of visitant subscribers, P 3 The weight is corresponding to the number index of the visitant users; p u For uplink PRB utilization, P 4 Weights corresponding to the uplink PRB utilization index; p d For downlink PRB utilization, P 5 Weights corresponding to the downlink PRB utilization index; i is u For upstream traffic, P 6 The weight is corresponding to the uplink flow index; i is d For downstream traffic, P 7 The weight is corresponding to the downlink flow index; and m is the MR coverage. Note that, the reverse data 1/e of the MR coverage rate 10*m-7 May be greater than 1 and may be less than 1, in order to obtain a normalized cell worth value between 0 and 1, in this embodiment, by min (1, 1/e) 10*m-7 ) The function selects the inverse data of the corresponding MR coverage rate to multiply the sum of products of other indexes, namely when 1/e 10*m-7 When the ratio is less than 1, selecting 1/e 10*m-7 Multiplying by the sum of products of other indexes; when 1/e is 10*m-7 And if the sum is more than 1, multiplying the sum of the products of 1 and other indexes by one.
On the basis of the foregoing embodiment, normalization processing is performed on the cell data at the next time to obtain normalized cell data at the next time; and determining the value degree of the cell corresponding to the base station according to the normalized cell data at the next moment, thereby realizing the normalization of the value degree of the cell and facilitating the visual judgment of the value degree of the cell by a user.
In a second aspect, an embodiment of the present invention provides a processing apparatus for saving energy of a base station, fig. 4 is a schematic structural diagram of the processing apparatus for saving energy of a base station, and as shown in fig. 4, the processing apparatus for saving energy of a base station includes:
a first processing module 10, configured to obtain cell data of a cell corresponding to a base station before a current time, and determine cell data of a next time according to the cell data before the current time; a second processing module 20, configured to determine, according to the cell data at the next time, a value degree of a cell corresponding to the base station; the instruction output module 30 is configured to output a corresponding energy saving instruction according to the value degree of the cell; and an energy-saving processing module 40, configured to perform energy-saving processing on the base station according to the energy-saving instruction.
In other optional embodiments, the cell data comprises at least one of: user count data, network performance data, and measurement report MR coverage data.
In other optional embodiments, the user count data includes a steady-state user number and a high-value user number, where the high-value user is a user whose average user income ARPU value is higher than a preset threshold; the network performance data comprises an uplink Physical Resource Block (PRB) utilization rate, a downlink Physical Resource Block (PRB) utilization rate, uplink flow and downlink flow; the second processing module 20 is specifically configured to: determining the number of steady-state users, the number of high-value users, the utilization rate of uplink PRBs, the utilization rate of downlink PRBs, the corresponding weights of uplink flow and downlink flow; and determining the value degree of the cell according to the steady-state user number, the high-value user number, the uplink PRB utilization rate, the downlink PRB utilization rate, the uplink flow, the downlink flow, the corresponding weight and the MR coverage rate data.
In other optional embodiments, the instruction output module 30 is specifically configured to: and when the value degree of the cell is smaller than a preset value degree threshold value, outputting an energy-saving instruction.
In other optional embodiments, the first processing module 10 is specifically configured to: and inputting the cell data before the current moment into the Hall special-temperature time sequence prediction model, and outputting the cell data at the next moment.
In other optional embodiments, the second processing module 20 is specifically configured to: before determining the value degree of the cell corresponding to the base station according to the cell data at the next moment, carrying out normalization processing on the cell data at the next moment to obtain normalized cell data at the next moment; and determining the value degree of the cell corresponding to the base station according to the normalized cell data at the next moment.
In other alternative embodiments, the instruction output module 30 is further configured to: when the base station in the energy-saving state lasts for a preset time, outputting a recovery instruction; and the energy-saving processing module 40 is configured to resume processing the base station to a state before performing energy-saving processing according to the resume instruction.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and corresponding beneficial effects of the processing apparatus for saving energy of a base station described above may refer to the corresponding process in the foregoing method embodiment, and no further description is provided herein.
The processing device for saving energy of the base station is used for acquiring the cell data of the cell corresponding to the base station before the current moment through a first processing module and determining the cell data of the next moment according to the cell data before the current moment; the second processing module is used for determining the value degree of the cell corresponding to the base station according to the cell data at the next moment; the instruction output module is used for outputting a corresponding energy-saving instruction according to the value degree of the cell; an energy-saving processing module; the method and the device for energy-saving processing of the base station are used for energy-saving processing of the base station according to the energy-saving instruction, namely the method and the device for energy-saving processing of the base station can accurately predict the multi-dimensional cell data of the next moment by obtaining the multi-dimensional cell data before the current moment, further determine the value degree of the cell, and further determine whether to perform energy-saving processing on the base station.
In a third aspect, an embodiment of the present invention provides an electronic device, and fig. 5 is a schematic diagram of a hardware structure of the electronic device provided in the present invention, as shown in fig. 5, including:
at least one processor 501 and memory 502.
In a specific implementation process, the at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that the at least one processor 501 executes the above processing method for saving energy of the base station, wherein the processor 501 and the memory 502 are connected through the bus 503.
For a specific implementation process of the processor 501, reference may be made to the above method embodiments, which implement the similar principle and technical effect, and this embodiment is not described herein again.
In the embodiment shown in fig. 5, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
In a fourth aspect, the present invention also provides a readable storage medium, in which computer executable instructions are stored, and when a processor executes the computer executable instructions, the processing method for saving energy of the base station is implemented.
The readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A readable storage medium may be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A processing method for saving energy of a base station is characterized by comprising the following steps:
acquiring cell data of a cell corresponding to a base station before the current moment, and determining the cell data of the next moment according to the cell data before the current moment;
determining the value degree of a cell corresponding to the base station according to the cell data at the next moment;
outputting a corresponding energy-saving instruction according to the value degree of the cell;
according to the energy-saving instruction, the base station is subjected to energy-saving processing;
the cell data includes at least one of:
user count data, network performance data, and measurement report MR coverage data;
the user counting data comprises a steady-state user number and a high-value user number, wherein the high-value user is a user with the income ARPU value per average user higher than a preset threshold value; the network performance data comprises an uplink Physical Resource Block (PRB) utilization rate, a downlink Physical Resource Block (PRB) utilization rate, uplink flow and downlink flow;
the determining the value degree of the cell corresponding to the base station according to the cell data at the next moment comprises the following steps:
determining the number of steady-state users, the number of high-value users, the utilization rate of uplink PRBs, the utilization rate of downlink PRBs, the corresponding weights of uplink flow and downlink flow;
and determining the value degree of the cell according to the steady-state user number, the high-value user number, the uplink PRB utilization rate, the downlink PRB utilization rate, the uplink flow, the downlink flow, the corresponding weight and the MR coverage rate data.
2. The method of claim 1, wherein outputting the corresponding energy saving command according to the value degree of the cell comprises:
and when the value degree of the cell is smaller than a preset value degree threshold value, outputting an energy-saving instruction.
3. The method of claim 1, wherein determining the cell data of the next time from the cell data before the current time comprises:
and inputting the cell data before the current moment into the Hall special-temperature time sequence prediction model, and outputting the cell data at the next moment.
4. The method of claim 1, wherein before determining the worth degree of the cell corresponding to the base station according to the cell data at the next time, the method further comprises:
normalizing the cell data at the next moment to obtain normalized cell data at the next moment;
the determining the value degree of the cell corresponding to the base station according to the cell data at the next moment comprises:
and determining the value degree of the cell corresponding to the base station according to the normalized cell data at the next moment.
5. The method of claim 1, wherein after the energy-saving processing of the base station, further comprising:
when the base station in the energy-saving state lasts for a preset time, outputting a recovery instruction;
and restoring the base station to a state before the energy-saving processing is not performed according to the restoring instruction.
6. A processing apparatus for saving power of a base station, comprising:
the first processing module is used for acquiring cell data before the current moment of a cell corresponding to a base station, and determining the cell data at the next moment according to the cell data before the current moment;
the second processing module is used for determining the value degree of the cell corresponding to the base station according to the cell data at the next moment;
the instruction output module is used for outputting a corresponding energy-saving instruction according to the value degree of the cell;
the energy-saving processing module is used for carrying out energy-saving processing on the base station according to the energy-saving instruction;
the cell data includes at least one of:
user count data, network performance data, and measurement report MR coverage data;
the user counting data comprises a steady-state user number and a high-value user number, wherein the high-value user is a user with the income ARPU value per average user higher than a preset threshold value; the network performance data comprises an uplink Physical Resource Block (PRB) utilization rate, a downlink Physical Resource Block (PRB) utilization rate, uplink flow and downlink flow;
the second processing module is specifically configured to: determining the number of steady-state users, the number of high-value users, the utilization rate of uplink PRBs, the utilization rate of downlink PRBs, the corresponding weights of uplink flow and downlink flow; and determining the value degree of the cell according to the steady-state user number, the high-value user number, the uplink PRB utilization rate, the downlink PRB utilization rate, the uplink flow, the downlink flow, the corresponding weight and the MR coverage rate data.
7. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any of claims 1 to 5.
8. A readable storage medium having stored thereon computer executable instructions which, when executed by a processor, implement the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011492770.4A CN112533270B (en) | 2020-12-16 | 2020-12-16 | Base station energy-saving processing method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011492770.4A CN112533270B (en) | 2020-12-16 | 2020-12-16 | Base station energy-saving processing method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112533270A CN112533270A (en) | 2021-03-19 |
| CN112533270B true CN112533270B (en) | 2022-09-13 |
Family
ID=75000899
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011492770.4A Active CN112533270B (en) | 2020-12-16 | 2020-12-16 | Base station energy-saving processing method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112533270B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113705707B (en) * | 2021-09-02 | 2023-06-30 | 中国联合网络通信集团有限公司 | Method and device for determining power saving state of base station cell and electronic equipment |
| CN113891415A (en) * | 2021-11-17 | 2022-01-04 | 西藏先锋绿能环保科技股份有限公司 | Energy-saving cell rapid screening method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102696265A (en) * | 2010-01-08 | 2012-09-26 | 三星电子株式会社 | Method for reducing power consumption of base station in wireless communication system |
| CN102724739A (en) * | 2012-05-28 | 2012-10-10 | 中兴通讯股份有限公司 | Base station energy-saving control method and equipment |
| WO2015079479A1 (en) * | 2013-11-29 | 2015-06-04 | Nec Corporation | Method and apparatus for saving energy in base station with multiple antennas |
| CN106941712A (en) * | 2017-05-10 | 2017-07-11 | 重庆邮电大学 | A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station |
| CN108848520A (en) * | 2018-05-28 | 2018-11-20 | 西安交通大学 | A kind of base station dormancy method based on volume forecasting and base station state |
| CN109996246A (en) * | 2017-12-30 | 2019-07-09 | 中国移动通信集团辽宁有限公司 | Power-economizing method, device, equipment and the medium of base station cell |
| CN110062450A (en) * | 2019-06-05 | 2019-07-26 | 中国联合网络通信集团有限公司 | Method, apparatus, equipment and the readable storage medium storing program for executing of the base station 5G energy saving |
| CN110650518A (en) * | 2018-06-27 | 2020-01-03 | 上海华为技术有限公司 | Energy-saving method and equipment for base station equipment |
| CN110996377A (en) * | 2019-11-25 | 2020-04-10 | 宜通世纪科技股份有限公司 | Base station energy saving method, system, device and storage medium |
| CN111385899A (en) * | 2018-12-28 | 2020-07-07 | 中兴通讯股份有限公司 | Resource scheduling method and device, network equipment and readable storage medium |
-
2020
- 2020-12-16 CN CN202011492770.4A patent/CN112533270B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102696265A (en) * | 2010-01-08 | 2012-09-26 | 三星电子株式会社 | Method for reducing power consumption of base station in wireless communication system |
| CN102724739A (en) * | 2012-05-28 | 2012-10-10 | 中兴通讯股份有限公司 | Base station energy-saving control method and equipment |
| WO2015079479A1 (en) * | 2013-11-29 | 2015-06-04 | Nec Corporation | Method and apparatus for saving energy in base station with multiple antennas |
| CN106941712A (en) * | 2017-05-10 | 2017-07-11 | 重庆邮电大学 | A kind of micro-base station power-economizing method cooperated based on traffic forecast and macro base station |
| CN109996246A (en) * | 2017-12-30 | 2019-07-09 | 中国移动通信集团辽宁有限公司 | Power-economizing method, device, equipment and the medium of base station cell |
| CN108848520A (en) * | 2018-05-28 | 2018-11-20 | 西安交通大学 | A kind of base station dormancy method based on volume forecasting and base station state |
| CN110650518A (en) * | 2018-06-27 | 2020-01-03 | 上海华为技术有限公司 | Energy-saving method and equipment for base station equipment |
| CN111385899A (en) * | 2018-12-28 | 2020-07-07 | 中兴通讯股份有限公司 | Resource scheduling method and device, network equipment and readable storage medium |
| CN110062450A (en) * | 2019-06-05 | 2019-07-26 | 中国联合网络通信集团有限公司 | Method, apparatus, equipment and the readable storage medium storing program for executing of the base station 5G energy saving |
| CN110996377A (en) * | 2019-11-25 | 2020-04-10 | 宜通世纪科技股份有限公司 | Base station energy saving method, system, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112533270A (en) | 2021-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112533270B (en) | Base station energy-saving processing method and device, electronic equipment and storage medium | |
| CN110417607B (en) | Flow prediction method, device and equipment | |
| CN107239339A (en) | System function optimization parameter determination method, system function optimization method and device | |
| CN101662773A (en) | Method and equipment for realizing purpose of reducing communication deception risk by using computer | |
| CN109756372B (en) | Elastic expansion method and device for telecommunication charging system | |
| CN111885618A (en) | Network performance optimization method and device | |
| Wang et al. | Cloud workload analytics for real-time prediction of user request patterns | |
| CN114490078A (en) | Dynamic capacity reduction and expansion method, device and equipment for micro-service | |
| CN110569170A (en) | method, device and equipment for evaluating utilization rate of server and storage medium thereof | |
| CN113342604A (en) | Method and device for detecting memory utilization rate, terminal and storage medium | |
| CN110707729B (en) | Method and device for analyzing multi-region primary frequency modulation condition and storage medium | |
| CN117493105A (en) | Data management safety protection method and system for cascade hydropower station | |
| CN117332897A (en) | Artificial intelligent driven new energy small time scale power interpolation integrated prediction method | |
| CN116937645A (en) | Charging station cluster regulation potential evaluation method, device, equipment and medium | |
| CN104135525A (en) | Resource expanding method and device for cloud platform ELB components | |
| CN111258713A (en) | Dynamic power management implementation method, device and equipment | |
| CN116016150A (en) | Early warning method and device for physical network, electronic equipment and storage medium | |
| CN110505635A (en) | Terminal permeability prediction method and device | |
| CN114021793A (en) | Flood prediction method and electronic equipment | |
| CN113630786B (en) | Network data traffic prediction method, device, computing equipment and storage medium | |
| CN110570136B (en) | Distribution range determining method, distribution range determining device, electronic equipment and storage medium | |
| CN112398172A (en) | Source-grid-load coordinated operation control method and related device | |
| CN114841010B (en) | Equivalent conductance matrix storage quantization method, device, equipment and readable storage medium | |
| Preetham et al. | Resource provisioning in cloud using arima and lstm technique | |
| CN113891363B (en) | Cell capacity expansion index prediction method, device and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |