CN113766619B - RRU dynamic scheduling method and device, electronic equipment and storage medium - Google Patents
RRU dynamic scheduling method and device, electronic equipment and storage medium Download PDFInfo
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- CN113766619B CN113766619B CN202010490564.3A CN202010490564A CN113766619B CN 113766619 B CN113766619 B CN 113766619B CN 202010490564 A CN202010490564 A CN 202010490564A CN 113766619 B CN113766619 B CN 113766619B
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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
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/08—Access point devices
- H04W88/085—Access point devices with remote components
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- 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
Abstract
The application provides a RRU dynamic scheduling method, a device, electronic equipment and a storage medium, wherein the method comprises the steps of generating predicted power by combining historical operation data of RRUs of remote radio modules to be scheduled in a period of time with operation data in a current period and a preset algorithm, determining a target rated power combination closest to the predicted power according to rated power of each RRU to be scheduled, wherein the switching state of each RRU corresponding to the target rated power combination is the switching state of each RRU to be scheduled, and scheduling each RRU according to the historical operation data. The combination of the historical operation data and the current operation data can realize dynamic energy-saving scheduling of the base station equipment, avoid the adverse effects in many aspects caused by frequent turn-off of the RRU, and solve the problem of shortened service life of the equipment.
Description
Technical Field
The present disclosure relates to the field of mobile communications, and in particular, to a method and apparatus for dynamically scheduling RRU, an electronic device, and a storage medium.
Background
At present, with the vigorous development of mobile communication technology and the continuous increase of the usage and demand of people on mobile communication networks, various operators continuously expand network infrastructure in order to continuously provide high-quality network services, but with the continuous expansion of the network construction scale, the power consumption of base stations is also increased. All the base stations run all the year round, and the electricity consumption of the base stations accounts for about 60-70% of the total electricity consumption of the operators through statistics, and the electricity fee of the base stations accounts for half of the running and maintenance cost of all the networks of the operators. Therefore, the scientific and reasonable electricity-saving measures adopted for the base station not only can reduce the network maintenance cost of operators, but also has very important significance for realizing the energy-saving goal of the country.
The traditional energy-saving method of the mobile communication base station equipment utilizes the characteristics of the corresponding relation between the power consumption of the base station equipment and the comprehensive telephone traffic, and adjusts the switch of the base station equipment according to the change of the real-time telephone traffic so as to achieve the purpose of energy saving. This way, depending on the real-time traffic variation, may cause frequent switching of the communication base station device, thereby causing the following effects: (1) quality impact: the high frequency point multiplexing degree causes the same-frequency interference; (2) capacity impact: channel congestion is liable to occur; (3) coverage impact: causing weak or no signals in certain areas; (4) handover impact: the incomplete neighbor cell causes the situation that normal switching cannot be performed, and call drop and the like are caused.
Therefore, the existing base station energy saving technology frequently switches the communication equipment according to real-time traffic, and has the defects of adversely affecting the mobile communication quality and the service life of the equipment in many aspects.
Disclosure of Invention
The application provides a RRU dynamic scheduling method, a device, electronic equipment and a storage medium, which are used for solving the problems that in the prior art, communication equipment is frequently switched on and off according to real-time traffic, so that the mobile communication is adversely affected in multiple aspects and the service life of the equipment is adversely affected.
In a first aspect, the present application provides a method for dynamically scheduling RRU, including:
acquiring historical operation data of RRUs of a remote radio module to be scheduled, wherein the historical operation data are used for representing historical traffic and energy consumption of the RRUs to be scheduled in a preset mode, and the RRUs to be scheduled are any RRU in an RRU set corresponding to a preset sector; generating predicted power according to the historical operation data and a preset algorithm; and determining the switching state of the RRU to be scheduled according to the rated power of the RRU to be scheduled and the predicted power, and performing scheduling update on the RRU to be scheduled according to the switching state.
Optionally, the generating the predicted power according to the historical operating data and a preset algorithm includes: acquiring the current traffic of the RRU to be scheduled; generating a correction coefficient according to the current traffic and the historical operation data by using a preset correction algorithm; and generating predicted power according to the correction coefficient and the historical operation data.
Optionally, the current traffic includes: current period voice traffic and current period data traffic; the historical operating data includes: voice service data and data service data; the voice service data includes: the historical voice service volume and the historical voice service power are in the same time period with the current service volume, and the historical voice service power is the power of the voice service in the next time period of the current service volume; the data service data includes: and the first data service power and the second data service power are the power of the data service of two continuous time periods after the current service volume.
Optionally, the generating the predicted power according to the correction coefficient and the historical operation data includes: generating a voice service prediction power according to the correction coefficient and the historical voice service power; generating data service prediction power according to the first data service power and the second data service power; generating a predicted voice cell number according to the voice service predicted power and the rated power of the voice service cell; generating a predicted data cell number according to the data service predicted power and the rated power of the data service cell; and generating the predicted power according to the predicted voice cell number, the predicted data cell number, the rated power of the voice service cell and the rated power of the data service cell.
Optionally, the generating, by using a preset correction algorithm, a correction coefficient according to the current traffic and the historical operation data includes: and inputting the current traffic and a first historical traffic into a correction model to generate the correction coefficient, wherein the first historical traffic is the traffic which is in the same period as the current traffic in the historical operation data.
Optionally, the generating the predicted power according to the correction coefficient and the historical operation data includes: and generating the predicted power of the next period according to the correction coefficient and a second historical traffic by using a prediction model algorithm, wherein the second historical traffic is the traffic of the next period corresponding to the current traffic in the historical operation data.
Optionally, the determining the switch state of the RRU to be scheduled according to the rated power of the RRU to be scheduled and the predicted power includes: combining the RRUs to be scheduled according to the rated power to determine the combined power corresponding to each combination; determining a target combination from all combinations, wherein the target combination is a combination with the smallest difference value between the combined power and the predicted power in all combinations; and determining the switching state of the RRU to be scheduled according to the target combination.
In a second aspect, the present application provides an RRU dynamic scheduling apparatus, including:
the acquisition module is used for acquiring historical operation data of the RRU to be scheduled;
the processing module is used for generating predicted power according to the historical operation data and a preset algorithm;
The processing module is further configured to determine a switching state of the RRU to be scheduled according to the rated power of the RRU to be scheduled and the predicted power, and schedule and update the RRU to be scheduled according to the switching state.
Optionally, the acquiring module is further configured to acquire a current traffic of the RRU to be scheduled;
the processing module is further used for generating a correction coefficient according to the current traffic and the historical operation data by using a preset correction algorithm;
the processing module 302 is further configured to generate a predicted power according to the correction coefficient and the historical operation data;
optionally, the acquiring module is further configured to acquire a voice traffic in a current period and a data traffic in the current period;
the acquisition module is further configured to acquire a historical voice traffic and a historical voice traffic power, where the historical voice traffic and the current traffic are in the same period, and the historical voice traffic power is the power of the voice traffic in the next period of the current traffic;
the acquisition module is further configured to acquire a first data service power and a second data service power, where the first data service power and the second data service power are powers of two continuous time periods of data service after the current service volume.
Optionally, the processing module is further configured to generate a voice service prediction power according to the correction coefficient and the historical voice service power;
the processing module is further configured to generate a data service prediction power according to the first data service power and the second data service power;
the processing module is further used for generating a predicted voice cell number according to the voice service predicted power and the rated power of the voice service cells;
the processing module is further used for generating a predicted data cell number according to the data service predicted power and the rated power of the data service cell;
the processing module is further configured to generate the predicted power according to the predicted number of voice cells, the predicted number of data cells, the rated power of the voice service cell, and the rated power of the data service cell.
Optionally, the processing module is further configured to input the current traffic and a first historical traffic into a correction model to generate the correction coefficient, where the first historical traffic is a traffic in the same period as the current traffic in the historical operation data;
optionally, the processing module is further configured to generate the predicted power of the next period according to the correction coefficient and a second historical traffic by using a prediction model algorithm, where the second historical traffic is a traffic of the next period corresponding to the current traffic in the historical operation data
Optionally, the processing module is further configured to combine the RRUs to be scheduled according to the rated power, so as to determine a combined power corresponding to each combination;
the processing module is further configured to determine a target combination from all combinations, where the target combination is a combination with a minimum difference between a combined power and the predicted power in all combinations;
the processing module is further configured to determine the switch state of the RRU to be scheduled according to the target combination.
In a third aspect, the present application provides an RRU dynamic scheduling electronic device, including:
a memory for storing program instructions;
and the processor is used for calling and executing the program instructions in the memory and executing any one possible RRU dynamic scheduling method provided in the first aspect.
In a fourth aspect, the present application provides a storage medium, where a computer program is stored, where the computer program is configured to perform any one of the possible RRU dynamic scheduling methods provided in the first aspect.
The application provides a RRU dynamic scheduling method, a device, electronic equipment and a storage medium, wherein the method comprises the steps of generating predicted power by combining historical operation data of RRUs of remote radio modules to be scheduled in a period of time with operation data in a current period and a preset algorithm, determining a target rated power combination closest to the predicted power according to rated power of each RRU to be scheduled, wherein the switching state of each RRU corresponding to the target rated power combination is the switching state of each RRU to be scheduled, and scheduling each RRU according to the historical operation data. The combination of the historical operation data and the current operation data can realize dynamic energy-saving scheduling of the base station equipment, avoid the adverse effects in many aspects caused by frequent turn-off of the RRU, and solve the problem of shortened service life of the equipment.
Drawings
For a clearer description of the technical solutions of the present application or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are some embodiments of the present application, and that other drawings can be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a set of mobile communication base station equipment provided in the present application
Fig. 2 is an application scenario schematic diagram of an RRU dynamic scheduling method provided in the present application;
fig. 3 is a flow chart of a dynamic RRU scheduling method provided in the present application;
fig. 4 is a flow chart of another RRU dynamic scheduling method provided in the present application;
fig. 5 is a schematic structural diagram of an RRU dynamic scheduling apparatus provided in the present application;
fig. 6 is a schematic structural diagram of an RRU dynamic scheduling electronic device provided in the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, including but not limited to combinations of embodiments, which can be made by one of ordinary skill in the art without inventive faculty, are intended to be within the scope of the present application, based on the embodiments herein.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The following description is made of the technical terms related to the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a set of mobile communication base station equipment provided in the present application, as shown in fig. 1, generally, a set of mobile communication base station equipment is formed by connecting a plurality of remote radio units RRU (Remote Radio Unit) with an indoor baseband processing unit BBU (Building Base band Unite) through optical fibers, each RRU is connected with a plurality of antennas 13, and the BBU is further connected with a network management platform and controlled by the network management platform 14.
The BBU is used for completing the baseband processing functions (coding, multiplexing, modulation, spreading and the like) of the Uu interface, the Iub interface function of the RNC, the signaling processing, the local and remote operation maintenance functions, and the working state monitoring and alarm information reporting functions of the NodeB system.
The RRU is used for converting the intermediate frequency signal into the radio frequency signal by the transceiver module; and then the radio frequency signals are transmitted out through the antenna port by the power amplification and filtering module.
The working principle of the RRU is as follows: the baseband signal goes down to be subjected to frequency conversion and filtering, and is transmitted to an antenna feed through a transmission filter after being subjected to radio frequency filtering and a linear power amplifier. And the uplink filters the received uplink signal of the mobile terminal, amplifies the uplink signal with low noise, amplifies and filters the received uplink signal with further radio frequency small signal, down-converts the filtered uplink signal with further radio frequency small signal, and then completes analog-to-digital conversion, digital intermediate frequency processing and the like.
In the prior art, the traditional energy-saving method of the mobile communication base station equipment utilizes the characteristics of the corresponding relation between the power consumption of the base station equipment and the comprehensive telephone traffic, and adjusts the switch of the base station equipment according to the change of the real-time telephone traffic, namely when a base station management platform detects that the real-time network traffic is low, according to the inherent experience or the personal experience of a manager, part of the base station equipment is powered off and is converted into a dormant state; when the base station management platform detects that the network real-time telephone traffic is converted into a peak, the base station equipment in a dormant state is restarted and converted into a normal state, so that the power consumption of the base station equipment is reduced, and the aim of saving energy is fulfilled. The method can save energy, but completely depends on real-time traffic volume change, when the real-time traffic volume changes frequently or fluctuates severely in a short time, the communication base station equipment is frequently switched on and off, the service life of the communication base station equipment is shortened, the switching of the communication base station equipment needs a certain time, and partial carrier loss of a communication network is caused in the switching time. Specifically, frequent switching of the communication device may cause frequent switching off of the virtual communication cell, where the virtual communication cell directly carries a carrier frequency band for implementing the communication service, thereby causing the following effects:
(1) Quality impact: the high multiplexing degree of the frequency points causes the same-frequency interference
Since part of base station equipment is turned off, bandwidth resources which are originally short of the base station equipment are reduced, so that the same frequency point needs to bear more traffic, namely the multiplexing degree of the same frequency point needs to be improved, but the same frequency interference becomes more serious due to the too high multiplexing degree of the frequency point, and the communication quality is affected.
(2) Capacity influence: channel congestion is liable to occur
Partial base station equipment turn-off can result in a reduction of available channels, and when the traffic volume increases and the equipment is still in the time interval from dormancy to turn-on, channel congestion can be caused, and the traffic capacity can be limited by the communication network management platform.
(3) Coverage effect: resulting in weak or no signal in certain areas
After some base station equipment is turned off, the corresponding antenna of the equipment is in a dormant state, so that signals in the orientation range of the antenna are lost, and some antennas are arranged for strengthening a weak signal area, so that the signal strength of the area is reduced, and the partial antennas may directly relate to whether a certain geographic area is covered by signals or not, and if the antenna does not send signals any more, the area is free of signals.
(4) Switching effect: the incomplete neighbor cell causes the situation of failure to perform normal handover, dropped call and the like
For two adjacent geographic sectors, when a certain user moves across the sectors, the situation that the communication is switched between two devices is necessarily involved, but if part of base stations of the adjacent sectors are dormant at this time, the coverage areas of the adjacent sectors are incomplete, and part of areas have no signals, at this time, the switching cannot be completed, so that the situations of call drop, no service and the like occur.
In view of the above problems, the present application provides a method, an apparatus, an electronic device, and a storage medium for dynamically scheduling RRUs, by combining historical operation data of RRUs of each remote radio module to be scheduled in a period of time with operation data in a current period of time and a preset algorithm to generate a predicted power, then combining rated powers of the RRUs to be scheduled, and finding out, from all the combined powers, that is, a switching state of the RRU corresponding to the combined power is the switching state of each RRU to be scheduled to be obtained on the premise that the combined power is greater than the predicted power, so as to schedule each RRU. The combination of the historical operation data and the current operation data can realize dynamic energy-saving scheduling of the base station equipment, avoid the adverse effects on the aspects of mobile communication caused by frequent turn-off of RRU, and solve the problem of shortened service life of the equipment.
Fig. 2 is a schematic application scenario diagram of an RRU dynamic scheduling method provided in the present application, and in the following, an RRU dynamic scheduling scenario in an embodiment of the present application is described with reference to fig. 2.
One possible application of the embodiments of the present application is in multiple RRU dynamic switch state scheduling at a 3G and 4G common mode distributed base station based on SDR (Software Defination Radio), i.e. "software defined radio". As shown in fig. 2, BBU21, core network and radio network control equipment of the 3G and 4G common mode distributed base station based on SDR are concentrated in a machine room, and are connected with RRUs deployed on a planning site, namely 221-223 in fig. 2, through optical fibers, and the RRUs include a plurality of antennas with different angle directions, so as to complete coverage of network sector 23.
Among them, SDR is a radio broadcast communication technology that is implemented based on a software-defined wireless communication protocol rather than by hard-wiring. The frequency bands, air interface protocols and functions may be upgraded by software downloads and updates without completely replacing the hardware. The distributed base station is a product for completing network coverage, and is characterized in that a baseband part and a radio frequency part are separated to adapt to network coverage and remote coverage of multiple scenes, so that the construction and maintenance cost can be reduced, and the efficiency can be improved.
When an operator builds a network with 4G, a solution based on SDR can be adopted to realize 3G and 4G common modes, namely, a set of base station (BBU+RRU) equipment can simultaneously support two modes of 3G and 4G, and the advantages are that:
1. 3G and 4G common antenna feeders are supported, so that precious antenna resources are saved, and engineering implementation difficulty is reduced;
2. the architecture of the 3G network is not changed;
3. the network construction period of the 3G operators for deploying the 4G is obviously reduced, and the network advancement can be maintained almost without changing any hardware;
4. on the BBU, the full decoupling of 3G and 4G is realized, and the two modes of business are not affected;
5. on the RRU, the 3G and the 4G share the RRU, the frequency spectrum is flexibly distributed in the radio frequency bandwidth, and the RRU power resources 3G and 4G are completely shared.
It is known that a BBU generates a logical base station, one BBU may support multiple RRUs, one RRU corresponds to one or more antennas, one antenna corresponds to one sector, such as the sector 23 in fig. 2, and multiple antennas may also correspond to the same sector on the premise that signals are directed to the same range, and one sector may correspond to multiple logical virtual cells according to different carrier frequency bands, where a sector is a sector area based on a geographic location, and a logical virtual cell is a logical concept. It can be appreciated that: one sector may correspond to one or more antennas covering the same range, i.e., one sector corresponds to one or more RRUs.
According to the RRU dynamic scheduling method, a possible application scene is that one sector corresponds to a plurality of (at least two) RRUs.
It should be noted that, the method provided by the embodiment of the present application may be used not only for performing switch state management on 3G and 4G communication devices by using an SDR-based common mode base station, but also for including: the embodiment of the application can also be used for the situation that a plurality of RRUs corresponding to a plurality of sectors perform comprehensive scheduling in the presence of switch state management of 2G,3G,4G,5G and other forms of communication base station equipment.
The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 3 is a flow chart of a dynamic RRU scheduling method provided in the present application. As shown in fig. 3, the method includes:
s101, acquiring historical operation data of the RRU to be scheduled.
The RRU to be scheduled refers to any RRU in all RRUs corresponding to a preset sector. The preset sector may be a specific sector, or may be a set of sectors formed by at least two designated sectors.
The historical operation data of each RRU to be scheduled in a specific time period, for example, the time period may be one week, and each time period is obtained from BBUs connected with the RRUs to be scheduled. A time period may be one hour, half an hour, or any other length of time. The length of a time period and the length of a time period are not limited, and a person skilled in the art can select a period according to practical situations and/or the length of a time period, that is, the size of granularity is not limited.
The historical operation data is used for representing the historical traffic and energy consumption of the RRU to be scheduled in a preset mode.
In one possible design, the historical operating data may include: in a time period, the comprehensive traffic of each period and the actual average power of the RRU to be scheduled. The actual average power can be expressed by the formula (1), and the formula (1) is specifically:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the actual average power of each RRU to be scheduled, T is the duration of one period, P i Is the instantaneous power of the RRU to be scheduled.
In one possible design, the historical operating data further includes: in one period, the weight corresponding to each period.
S102, generating predicted power according to historical operation data and a preset algorithm.
And analyzing the historical operation data through a preset algorithm to find out the corresponding relation or rule between the traffic and the actual power of the RRU to be scheduled in each period in one period, so that the predicted power of the RRU to be scheduled in the current period or the next period can be obtained, and the predicted power of the whole preset sector can be obtained.
In one possible design, a preset algorithm fits a functional relation between the traffic and the actual power of the RRU to be scheduled in each period, so that the predicted power of the RRU to be scheduled in the same period in one period can be obtained according to the functional relation, and further the predicted power of the whole preset sector can be obtained.
In one possible design, the actual power of the RRU to be scheduled in the same period in one period is directly used as the predicted power of the RRU to be scheduled, so that the predicted power of the whole preset sector can be obtained.
In one possible design, the predicted power of the RRU to be scheduled is calculated according to the actual power of the RRU to be scheduled in the same period in one period and the correction coefficient, so that the predicted power of the whole preset sector can be obtained. The calculation method can be the product of the two, or the two are input into a prediction model for training, and the obtained training data is the predicted power of the RRU to be scheduled, so that the predicted power of the whole preset sector can be obtained. Specific algorithms of the prediction model the present embodiment is not limited, and those skilled in the art may choose a specific implementation manner of the prediction model according to specific actual implementation.
In one possible design, according to the actual power of the RRU to be scheduled in each period in one period, the weight and the correction coefficient of each period are calculated to obtain the predicted power of the RRU to be scheduled, so as to obtain the predicted power of the whole preset sector. The calculation method may be the product of the actual power, the weight and the correction coefficient in the same period, or the actual power in each period is weighted and averaged before being multiplied by the correction coefficient.
The correction coefficient may be a fixed empirical value or a dynamically variable value.
In one possible design, the current traffic and the first historical traffic are input into a correction model to generate correction coefficients. The current traffic refers to the traffic or the workload of the RRU to be scheduled in the current period, and the first historical traffic is the traffic or the workload of the RRU to be scheduled in the same period before a period corresponding to the current period. Those skilled in the art can select the correction model algorithm according to the actual situation, and the embodiment does not limit the correction model algorithm.
In one possible design, the correction factor may be a ratio of the actual power of the current period to the actual power of the same period prior to one period, or a ranking of the actual power of the current actual power for each period prior to one period.
The embodiment does not limit the specific algorithm of the correction coefficient, and a person skilled in the art can select a corresponding calculation mode of the correction coefficient according to the actual situation.
In one possible design, the correction coefficient and the second historical traffic may be used as input amounts of a prediction model algorithm, and the prediction power of the RRU to be scheduled in the next period is generated through calculation of the prediction model algorithm, where the second historical traffic is the traffic in the next period corresponding to the current traffic in the historical operation data. The specific implementation manner of the prediction model algorithm is not limited in this embodiment, and a person skilled in the art may choose a specific implementation manner of the prediction model according to a specific actual situation.
S103, determining the switching state of the RRU to be scheduled according to the rated power and the predicted power of the RRU to be scheduled.
In the step, one RRU is selected at will as the RRU in the on state from all RRUs corresponding to the preset sector, the rest are all in the off state, then two RRUs are selected at will as the RRU in the on state, and the like until all RRUs are set to be in the on state, so that the switching combination of all RRUs is realized. For example: there are 3 RRUs in total in one sector, and the switch state combination of the 3 RRUs can be expressed as: [1,0,0],[0,1,0],[0,0,1],[1,1,0],[1,0,1],[0,1,1],[1,1,1].0 indicates that the RRU is in the off state, and 1 indicates that the RRU is in the on state. Since it is not possible to turn all RRUs off, combinations where all RRUs are turned off are excluded.
And then according to all the switch state combinations, adding rated powers of RRUs in all the on states in each combination to obtain rated power combinations corresponding to each switch state combination. For example, for the combination of [1, 0], the first and second RRUs are in an on state, and rated power of 40w and 20w, respectively, and the rated power combination is 60w.
Then, a rated power combination which is not smaller than the predicted power is selected from all rated power combinations as a candidate rated power combination. For example: the predicted power is 120w, and all rated power combinations are respectively: 60w,100w,125w,130w,200w, then only power rating combinations greater than 120w, or equal to 120w, 130w,125w,200w, can be selected as power rating combinations to be selected.
Then, from the rated power combinations to be selected, the rated power combination closest to the predicted power is selected as the target rated combination, for example, 125w,200w closest to 120w is 125w, and then 125w is the target rated combination. The combined switch state is, for example, [1,0,1], then the switch state is the required switch state of the RRU to be scheduled.
Finally, according to the switch state, the BBU is used for dispatching and updating the switch of each RRU, so that the dynamic dispatching of the RRUs can be realized, and the aim of energy conservation is fulfilled.
The embodiment provides a RRU dynamic scheduling method, which combines historical operation data of RRUs of remote radio modules to be scheduled in a period time with operation data in a current period and a preset algorithm to generate predicted power, then determines a target rated power combination closest to the predicted power according to rated power of each RRU to be scheduled, wherein the switching state of each RRU corresponding to the target rated power combination is the switching state of each RRU to be scheduled, and schedules each RRU according to the predicted power. The combination of the historical operation data and the current operation data can realize dynamic energy-saving scheduling of the base station equipment, avoid the adverse effects in many aspects caused by frequent turn-off of the RRU, and solve the problem of shortened service life of the equipment.
Fig. 4 is a flow chart of another RRU dynamic scheduling method provided in the present application. In this embodiment, the period is one week, that is, 7 days, and each period is one hour. As shown in fig. 4, the method for dynamically scheduling RRU provided in this embodiment includes the specific steps of:
s201, acquiring historical operation data of the RRU to be scheduled.
The RRU to be scheduled refers to any RRU in all RRUs corresponding to a preset sector. The preset sector may be a specific sector, or may be a set of sectors formed by at least two designated sectors.
And acquiring historical operation data of each RRU to be scheduled in each period within a specific time period, namely 7 days, from BBUs connected with the RRUs to be scheduled. One period is one hour in the present embodiment, then one day may be divided into 24 periods.
The historical operating data includes: voice traffic data and data traffic data.
The voice service data includes: the voice traffic volume set comprises a history voice traffic volume and the voice traffic power set comprises a history voice traffic power.
The data traffic data includes: a set of data traffic powers, comprising a "first data traffic power" and a "second data traffic power".
The total amount of voice traffic and data traffic, i.e., the integrated traffic, has a correspondence with the voice traffic, so that the integrated traffic is replaced with the voice traffic in the present embodiment.
In one possible design, the total traffic of the preset sector may also be represented directly by the integrated traffic, i.e. the first historical traffic.
It should be noted that, the method of the present embodiment is applied to SDR-based 3G and 4G common mode distributed base stations, where 3G services of such base stations need to use at least 2 carriers to carry voice and data services, and 4G services need to use at least 1 carrier to carry data services. In the 3G mode, the core network is divided into a CS (Circuit Switch) domain, which is a Circuit bearer domain responsible for voice traffic, and a PS (Packet Switch) domain, which is a data domain for data traffic. And the 4G mode cancels the CS domain, and the CS service is also an IP bearer of the PS domain, namely only the PS domain. The 4G network Voice service will be performed in the form of VOLTE (Voice over Long-Term Evolution) or in the 3G mode by CSFB (Circuit Switched Fallback ) technology. Therefore, the preset sector described by the method of this embodiment requires at least 3 carriers to carry voice and digital traffic, and the carrier carrying the traffic is referred to in the art as a virtual logical cell, hereinafter referred to as a "cell".
Acquiring and storing actual average power of each cell (3G bearing voice service cell and 3, 4G bearing data service cell) corresponding to the sector from BBU commonly connected with RRUs to be scheduled, storing data of nearly one week in a storage medium, recording m cells (m is larger than or equal to 3, m is an integer) corresponding to the sector, and recording the actual average power of each cell as P s (C j ) (j is more than or equal to 1 and less than or equal to m, j is an integer), and m cells corresponding to the preset sector are formed at each period of nearly one weekWherein the table format and fields of the j-th cell actual average power (unit w) are as follows:
wherein, field P s (C j ) (p,q) Expressed as: the actual average power of the jth cell at the p-th, q-th period of the next week (7 days).
According to the m actual average power record tables, according to the same date and same time period principles, respectively carrying out power summation calculation on cells carrying voice service (CS domain) and carrying data service (PS domain), namely respectively carrying out summation calculation on actual average power of each period of a 3G carrying voice service cell (a) and 3G carrying data service cell (b) in nearly one week to obtain two record tables, namely a voice service power set and a data service power set, wherein m=a+b, a and b are variables, and the total power of a preset sector can be expressed by a formula (2), wherein the formula (2) is specifically shown as follows:
The specific implementation mode of the voice service power set is as follows:
the actual average power of each period of the 3G bearing voice service cell in the near week is summed and calculated, and the sum of the power is recorded as P sc And forming a record table of the sum (unit w) of the actual average power of the a cells in each period of nearly one week, wherein the table is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,P sc(p,q) the representation is: a 3G bearing voice service cellThe sum of the actual average power at the q-th and P-th periods of the last week (7 days) can be expressed as P sc(p+1,q-7) I.e. the sum of the actual average power for the next period 7 days before the current period.
The specific implementation mode of the data service power set is as follows:
the actual average power of each period of the 3G and 4G bearing data service cells in nearly one week is summed and calculated, and the sum of the power is recorded as P sp And forming a record table of the sum (unit w) of the actual average powers of the b cells in each period of nearly one week, wherein the table is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,P sp(p,q) expressed as: the sum of the actual average powers of the b 3, 4G bearing data service cells in the q-th and P-th periods of the last week (7 days), then the "first data service power" is denoted as P sp(p+1,q-7) I.e. the sum of the actual average power of the next period 7 days before the current period; "second data traffic power" is denoted as P sp(p+2,q-7) I.e. the sum of the actual average power for the next 7 days preceding the current period.
The specific implementation manner of the voice traffic set is as follows:
the method comprises the steps of obtaining and storing the total number of CSFB operations of voice users in each period every day of all 4G cells corresponding to a preset sector, namely voice traffic in each period, from a network management platform, recording k, and reserving data of a week in a storage medium to form a CSFB number record table of the voice users in the 4G cells in each period of a week, namely a voice traffic set, wherein the table is as follows:
wherein k is (p,q) Indicating the total number of voice users CSFB of the p-th period on the q-th day of the last week (7 days) of all 4G cells, the total number of voice users CSFB of the same period 7 days before the current period, i.e. "historical voice traffic", can be expressed as k (p,q-7) 。
The network management platform comprises a wireless network management platform, a core network management platform and other types of comprehensive network management platforms which can record RRU related information in a mobile communication system.
S202, acquiring current traffic of RRUs to be scheduled.
Acquiring the total number of CSFB (customer service flow) of all 4G cell voice users in the current period of RRU (remote radio unit) to be scheduled, namely 'current traffic', from a network management platform, wherein the total number is denoted as k (p,q) 。
S203, generating a correction coefficient according to the current traffic and the historical operation data by using a correction algorithm.
In this embodiment, the correction algorithm is a ratio of "current traffic" to "historical voice traffic", and the ratio δ is a correction coefficient, and the correction coefficient δ may be represented by the formula (3), where the formula (3) is specifically shown as follows:
s204, generating predicted power according to the correction coefficient and the historical operation data.
In this step, predicting the power includes: voice traffic predicted power and data traffic predicted power. Voice traffic prediction power P sc(p+1,q) Can be based on the correction factor delta and the historical voice service power P sc(p+1,q-7) Calculated according to the formula (4), the formula (4) is specifically shown as follows:
P sc(p+1,q) ＝P sc(p+1,q-7) ·δ (4)
wherein the voice service prediction power P sc(p+1,q) Is the power predictor for the current next time period.
According to the power data of the next time period of the current time period before 7 days, the voice service scene around the base station has certain periodicity and regularity according to 24 time periods of 7 days a week, and the pre-judgment is accurate; the ratio of the number of CSFB times of the 4G cell voice user according to the current time period and the current time period before 7 days is because the voice service scene around the base station has certain randomness, and the multiplying of the ratio can play a role in correcting or reducing the influence of random service. The combination of the two can lead to more accurate pre-judgment.
The data service predicted power is obtained by comparing the first data service power with the second data service power, and the larger value of the first data service power and the second data service power is taken, wherein the data service predicted power can be represented by a formula (5), and the formula (5) is specifically shown as follows:
P sp(p+1,q) ＝Max[P sp(p+1,q-7) ,P sp(p+2,q-7) ] (5)
wherein P is sp(p+1,q) Predicting power for data traffic, P sp(p+1,q-7) For the first data traffic power, P sp(p+2,q-7) For the second data traffic power.
According to the power data before 7 days, because the data service scene around the base station is relatively fixed, according to the period of 7 days of a week, the data service volume under the sector corresponding to the base station has certain regularity, and the pre-judgment is relatively accurate; the continuous 2 time periods are used for making the pre-judgment so as to prolong the service life of the RRU while achieving the purpose of energy saving. Because the RRU equipment is frequently switched on and off, the service life of the RRU can be influenced, the RRU is prejudged for 2 time periods, and larger power is taken to participate in the calculation of the switching state of the RRU in the next time period, so that the switching times of the RRU can be effectively reduced.
The step also includes generating a predicted voice cell number according to the predicted voice service power and the rated voice service cell power, specifically:
the predicted voice cell number a is calculated according to a formula (6) by combining the voice service predicted power and the rated power of the voice service cell through an upward rounding method, and the formula (6) is specifically shown as follows:
Wherein X is the rated power of the load-bearing voice service cell, and P sc(p+1,q) Power is predicted for voice traffic.
The step also includes generating a predicted data cell number according to the predicted power of the data service and the rated power of the data service cell, specifically:
the predicted voice cell number b is calculated according to a formula (7) by combining the predicted power of the data service and the rated power of the data service cell through an upward rounding method, and the formula (7) is specifically shown as follows:
wherein Y is the rated power of the cell carrying the data service, and P sp(p+1,q) Power is predicted for the data traffic.
It can be understood that the rated power of the cell is different due to different coverage plans of operators when the network is built, and the rated power of the cell needs to be set according to specific situations.
The step also comprises generating the predicted power of the next period of the preset sector according to the predicted voice cell number, the predicted data cell number, the rated power of the voice service cell and the rated power of the data service cell. The specific implementation manner can be calculated according to a formula (8), wherein the formula (8) is specifically shown as follows:
P s(p+1,q) ＝aX+bY (8)
wherein P is s(p+1,q) And predicting power for the next time period of the preset sector, wherein X is the rated power of the bearing voice service cell, Y is the rated power of the bearing data service cell, a is the number of the predicted voice cells, and b is the number of the predicted data cells.
S205, combining RRUs to be scheduled according to rated power.
Extracting rated power of each RRU to be scheduled corresponding to a preset sector by using a network management platform, and recording that the preset sector has n RRUs to be scheduled (n>1, n is an integer), and rated power of each RRU to be scheduled is P e (R i ) (i is more than or equal to 1 and less than or equal to n, i is an integer), and a rated power record table of the RRU corresponding to the preset sector is formed, wherein the table format is as follows:
| RRU number | 1 st RRU | 2 nd RRU | …… | Nth RRU |
| Rated power | P e (R 1 )＝80w | P e (R 2 )＝60w | …… | P e (R n )＝40w |
And carrying out logic combination on all the recorded RRUs to be scheduled, namely taking at least one possible switch combination condition serving as an on state, and obtaining various corresponding combination conditions of rated power of the RRUs to be scheduled, wherein the total combination number can be calculated according to a formula (9), and the formula (9) is specifically as follows:
wherein, N represents the total number of all combinations of N RRUs.
I.e. 2 for n RRUs to be scheduled n -1 power rating combination, which can be expressed by the formula (10), the formula (10) being specifically as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,for an ordered array of n elements, each element takes a value of 0 or 1 (0 means off, 1 means on) and all elements +.>At different times, 0 (i is more than or equal to 1 and less than or equal to n, i is an integer), P e (R i ) Rated power for each RRU to be scheduled.
The RRU rated power combination record table to be scheduled can be obtained after the operation, and the table format is as follows:
s206, determining target combinations from all combinations.
S207, determining the switching state of the RRU to be scheduled according to the target combination.
In two steps S206-S207 of this embodiment, the predicted power of the next time period of the preset sector predicted in S204 is respectively compared with 2 recorded in S205 n And (3) carrying out difference operation on the 1 rated power combinations, and on the premise that the rated power is not exceeded, namely, the predicted power is smaller than the value of the rated power combination, wherein the switching state of the RRU when the difference value of the predicted power and the predicted power is the closest is the switching state of the RRU to be scheduled when the predicted power and the predicted power are scheduled to the maximum limit.
The RRU switch state to be scheduled under the maximum scheduling is recorded asThe calculation method can be implemented according to a formula (11), and the formula (11) is specifically as follows:
wherein P is s(p+1,q) The power is predicted for the next period of time in the preset sector,is the rated power combination value.
Finally, according to the obtained RRU switch state to be scheduled under the maximum schedulingAnd the control signaling is transmitted through the optical fiber between the RRU and the BBU to dynamically adjust the switching state of each RRU to be scheduled, so that the idle RRU is dynamically closed to save electricity and energy under the condition of minimizing the influence on the mobile communication quality and the service life of the RRU.
The embodiment of the application provides a RRU dynamic scheduling method, by acquiring historical operation data of RRUs of a remote radio module to be scheduled, the historical operation data is power data before 7 days, because a voice service scene around a base station has certain periodicity and regularity according to 24 time periods every day on 7 days a week, and the pre-judgment is accurate; then, the current traffic of the RRU to be scheduled is obtained, a correction algorithm is utilized, a correction coefficient is generated according to the current traffic and the historical operation data, and predicted power is generated according to the correction coefficient and the historical operation data, and because the voice service scene around the base station has certain randomness, the operation data of the current period is combined with the historical operation data, so that the power of the next period can be predicted more accurately; and combining the RRUs to be scheduled according to the rated power, determining target combinations from all the combinations, and determining the switching state of the RRUs to be scheduled according to the target combinations, thereby achieving the aim of energy saving of the RRU equipment under the condition of less influence on the mobile communication quality and the service life of the equipment.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program when executed performs steps including the above method embodiments; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Fig. 5 is a schematic structural diagram of an RRU dynamic scheduling apparatus provided in the present application. The RRU dynamic scheduling device can be realized by software, hardware or a combination of the two.
As shown in fig. 5, the RRU dynamic scheduling apparatus 300 includes: an acquisition module 301 and a processing module 302.
The acquiring module 301 is configured to acquire historical operation data of the remote radio unit RRU to be scheduled;
the processing module 302 is configured to generate predicted power according to the historical operation data and a preset algorithm;
the processing module 302 is further configured to determine a switching state of the RRU to be scheduled according to the rated power and the predicted power of the RRU to be scheduled, and schedule and update the RRU to be scheduled according to the switching state.
In some possible designs, the acquiring module 301 is further configured to acquire a current traffic of the RRU to be scheduled;
the processing module 302 is further configured to generate a correction coefficient according to the current traffic and the historical operation data by using a preset correction algorithm;
the processing module 302 is further configured to generate the predicted power according to the correction coefficient and the historical operation data.
In some possible designs, the obtaining module 301 is further configured to obtain the voice traffic of the current period and the data traffic of the current period;
the obtaining module 301 is further configured to obtain a historical voice traffic, a historical voice traffic power, where the historical voice traffic and the current traffic are in the same period, and the historical voice traffic power is the power of the voice traffic in the next period of the current traffic;
The acquiring module 301 is further configured to acquire a first data service power and a second data service power, where the first data service power and the second data service power are powers of two continuous time periods of data service after the current traffic.
In some possible designs, the processing module 302 is further configured to generate a voice service predicted power according to the correction coefficient and the historical voice service power;
the processing module 302 is further configured to generate a data traffic prediction power according to the first data traffic power and the second data traffic power;
the processing module 302 is further configured to generate a predicted voice cell number according to the voice service predicted power and the rated power of the voice service cell;
the processing module 302 is further configured to generate a predicted data cell number according to the data service predicted power and the rated power of the data service cell;
the processing module 302 is further configured to generate the predicted power according to the predicted number of voice cells, the predicted number of data cells, the rated power of the voice service cell, and the rated power of the data service cell.
Optionally, the processing module 302 is further configured to input the current traffic and a first historical traffic into the correction model to generate a correction coefficient, where the first historical traffic is a traffic in the same period as the current traffic in the historical operation data;
In some possible designs, the processing module 302 is further configured to generate, using a predictive model algorithm, predicted power for a next period according to the correction coefficient and a second historical traffic, where the second historical traffic is a traffic of the next period corresponding to the current traffic in the historical operating data
Optionally, the processing module 302 is further configured to combine RRUs to be scheduled according to the rated power, so as to determine a combined power corresponding to each combination;
the processing module 302 is further configured to determine a target combination from all combinations, where the target combination is a combination with a minimum difference between a combined power and a predicted power in all combinations;
the processing module 302 is further configured to determine a switch state of the RRU to be scheduled according to the target combination.
It should be noted that, the RRU dynamic scheduling apparatus provided in the embodiment shown in fig. 5 may perform the RRU dynamic scheduling method provided in any of the foregoing method embodiments, and the specific implementation principles, technical features, term explanation and technical effects of the RRU dynamic scheduling method are similar and are not described herein again.
Fig. 6 is a schematic structural diagram of an RRU dynamic scheduling electronic device provided in the present application. As shown in fig. 6, the RRU dynamic scheduling electronic device 400 may include: at least one processor 401 and a memory 402. Fig. 6 shows an electronic device, for example a processor.
A memory 402 for storing a program. In particular, the program may include program code including computer-operating instructions.
Memory 402 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 401 is configured to execute computer-executable instructions stored in the memory 402, so as to implement the RRU dynamic scheduling method described in the above method embodiments.
The processor 401 may be a central processing unit (central processing unit, abbreviated as CPU), or an application specific integrated circuit (application specific integrated circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
Alternatively, the memory 402 may be separate or integrated with the processor 401. When the memory 402 is a device independent from the processor 401, the electronic apparatus 400 may further include:
a bus 403 for connecting the processor 401 and the memory 402. The bus may be an industry standard architecture (industry standard architecture, abbreviated ISA) bus, an external device interconnect (peripheral component, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. Buses may be divided into address buses, data buses, control buses, etc., but do not represent only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 402 and the processor 401 are integrated on a chip, the memory 402 and the processor 401 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk or an optical disk, and specifically, the computer readable storage medium stores program instructions, where the program instructions are used in the RRU dynamic scheduling method in the foregoing embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. The RRU dynamic scheduling method is characterized by comprising the following steps:
acquiring historical operation data of RRUs of a remote radio module to be scheduled, wherein the historical operation data are used for representing historical traffic and energy consumption of the RRUs to be scheduled in a preset mode, and the RRUs to be scheduled are any RRU in an RRU set corresponding to a preset sector;
generating predicted power according to the historical operation data and a preset algorithm;
determining a switching state of the RRU to be scheduled according to the rated power of the RRU to be scheduled and the predicted power, and performing scheduling update on the RRU to be scheduled according to the switching state;
wherein the generating the predicted power according to the historical operation data and a preset algorithm includes:
acquiring the current traffic of the RRU to be scheduled;
generating a correction coefficient according to the current traffic and the historical operation data by using a preset correction algorithm;
generating predicted power according to the correction coefficient and the historical operation data;
wherein the generating, by using a preset correction algorithm, a correction coefficient according to the current traffic and the historical operation data includes:
and inputting the current traffic and a first historical traffic into a correction model to generate the correction coefficient, wherein the first historical traffic is the traffic which is in the same period as the current traffic in the historical operation data.
2. The RRU dynamic scheduling method of claim 1, wherein the current traffic comprises: current period voice traffic and current period data traffic;
the historical operating data includes: voice service data and data service data;
the voice service data includes: the historical voice service volume and the historical voice service power are in the same time period with the current service volume, and the historical voice service power is the power of the voice service in the next time period of the current service volume;
the data service data includes: and the first data service power and the second data service power are the power of the data service of two continuous time periods after the current service volume.
3. The RRU dynamic scheduling method according to claim 2, wherein said generating a predicted power from said correction factors and said historical operating data comprises:
generating a voice service prediction power according to the correction coefficient and the historical voice service power;
generating data service prediction power according to the first data service power and the second data service power;
Generating a predicted voice cell number according to the voice service predicted power and the rated power of the voice service cell;
generating a predicted data cell number according to the data service predicted power and the rated power of the data service cell;
and generating the predicted power according to the predicted voice cell number, the predicted data cell number, the rated power of the voice service cell and the rated power of the data service cell.
4. The RRU dynamic scheduling method according to any one of claims 1 to 3, wherein said generating a predicted power from said correction factors and said historical operating data comprises:
and generating the predicted power of the next period according to the correction coefficient and a second historical traffic by using a prediction model algorithm, wherein the second historical traffic is the traffic of the next period corresponding to the current traffic in the historical operation data.
5. The RRU dynamic scheduling method according to any one of claims 1-3, wherein said determining the switching state of the RRU to be scheduled according to the rated power of the RRU to be scheduled and the predicted power comprises:
combining the RRUs to be scheduled according to the rated power to determine the combined power corresponding to each combination;
Determining a target combination from all combinations, wherein the target combination is a combination with the smallest difference value between the combined power and the predicted power in all combinations;
and determining the switching state of the RRU to be scheduled according to the target combination.
6. An apparatus for dynamically scheduling RRU, comprising:
the system comprises an acquisition module, a Remote Radio Unit (RRU) to be scheduled, a Remote Radio Unit (RRU) scheduling module and a control module, wherein the acquisition module is used for acquiring historical operation data of the RRU to be scheduled, the historical operation data are used for representing historical traffic and energy consumption of the RRU to be scheduled when the RRU to be scheduled works in a preset mode, and the RRU to be scheduled is any RRU in an RRU set corresponding to a preset sector;
the processing module generates predicted power according to the historical operation data and a preset algorithm;
the processing module is further configured to determine a switching state of the RRU to be scheduled according to the rated power of the RRU to be scheduled and the predicted power, so as to schedule and update the RRU to be scheduled according to the switching state;
the acquisition module is further used for acquiring the current traffic of the RRU to be scheduled;
the processing module is further used for generating a correction coefficient according to the current traffic and the historical operation data by using a preset correction algorithm; generating predicted power according to the correction coefficient and the historical operation data;
The processing module is further configured to input the current traffic and a first historical traffic into a correction model to generate the correction coefficient, where the first historical traffic is a traffic in a same period as the current traffic in the historical operation data.
7. An electronic device, comprising:
a processor; the method comprises the steps of,
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform a RRU dynamic scheduling method according to any one of claims 1 to 5 via execution of the executable instructions.
8. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the RRU dynamic scheduling method according to any one of claims 1 to 5.
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