WO2016078268A1

WO2016078268A1 - Energy saving method and device

Info

Publication number: WO2016078268A1
Application number: PCT/CN2015/074538
Authority: WO
Inventors: 梅晓锋
Original assignee: 中兴通讯股份有限公司
Priority date: 2014-11-19
Filing date: 2015-03-18
Publication date: 2016-05-26
Also published as: CN105682109B; CN105682109A

Abstract

An energy saving method and device are disclosed, wherein, the method includes: predicting the telephone traffic of each cell in a future time window according to the stored history telephone traffic of each cell in a network; according to the predicted telephone traffic of said each cell in the future time window, simulating the base station energy consumption of the whole network after closing cells to be energy saved; according to the simulation result, determining one or more cells to be energy saved, the closing of which makes the base station energy consumption of the whole network lowest, as energy saving cells. According to the present invention, solved are the problems that only telephone traffic is considered in energy saving strategy of a base station in related art and energy saving effect is not good, thus the optimal energy saving effect is achieved.

Description

Energy saving method and device

Technical field

The present invention relates to the field of communications, and in particular to an energy saving method and apparatus.

Background technique

Today, network operators are paying more and more attention to environmental protection, and network operators have put forward very high requirements for energy saving and consumption reduction of products. The electricity bills caused by wireless network power consumption are also listed as equipment costs by some operators. The base station part of the wireless network energy consumption accounts for a large proportion, and the method of base station energy saving is particularly important.

At present, the method for power saving of the base station focuses on the base station shutdown strategy. Common strategies are energy-saving methods based on traffic statistics. This strategy mainly collects traffic in the past period of time. If the statistic is below a certain threshold, the base station will enter a power-saving state, and some cells/boards will be shut down.

This strategy is simple, real-time, and has little change to the network, but this strategy also has certain flaws. First, this strategy is considered from the perspective of traffic volume and does not take into account the power consumption configuration of each site. The same traffic consumption is not the same under different power consumption configurations, and the energy saving effect cannot be optimal in theory.

In view of the problem that the base station energy saving strategy in the related art is only considered from the traffic volume and the energy saving effect is not good, there is currently no effective solution.

Summary of the invention

The embodiment of the invention provides an energy-saving method and device, so as to at least solve the problem that the energy-saving strategy of the base station in the related art is only considered from the traffic volume, and the energy-saving effect is not good.

According to an embodiment of the present invention, an energy saving method is provided, including: predicting, according to a historical traffic volume of each cell in a stored network, a traffic volume of each of the cells in a future time window; according to the predicted future time window The traffic volume of each cell simulates the energy consumption of the base station of the entire network after the cell to be saved is closed. According to the simulation result, one or more cells to be saved with the lowest energy consumption of the base station after the shutdown is determined as the cell for energy conservation.

In this embodiment, the base station energy consumption of the entire network after the traffic to be saved is closed according to the predicted traffic time of each cell in the future time window includes: simulating the base station energy consumption of the entire network according to the following mathematical model:

Where P is the base station energy consumption of the entire network; P _i is the energy consumption of the to-be-conserved cell;

The basic energy consumption of the to-be-conserved cell in the case of the shutdown; N is the total number of cells in the network; C _i is the state of the to-be-conserved cell in the future time window, and C _i is 0. The to-be-conserved cell is closed in the future time window, otherwise the value is 1;

a maximum transmit power of the to-be-conserved cell; t _i is a traffic volume of the to-be-conserved cell in the future time window;

P _i and according to the simulation test data or the current network statistics

The functional relationship between t _i .

In this embodiment, when the traffic of each cell is simulated according to the predicted future time window, the base station energy consumption of the entire network after the energy-saving cell is closed is simulated, and the traffic volume of each cell is further determined according to the predicted future time window. After the cell to be saved is closed, whether there is congestion in the cell; according to the simulation result, one or more cells to be saved with the lowest energy consumption of the base station after the network is closed, as the cell for energy saving, the method further includes: determining to close according to the simulation result. After the base station of the whole network has the lowest energy consumption and there is no one or more cells to be saved that are congested by the cell, it is used as a cell for energy conservation.

In this embodiment, after the traffic volume of each cell is simulated according to the predicted future time window, whether the cell is congested after the cell is to be saved includes: determining whether the cell is congested according to the following formula:

And

N is the total number of cells in the network; the traffic volume of the to-be-conserved cell i to the neighboring cell j is Δ(i, j); C _i is the cell to be saved in the future time window. The value of C _i is 0, indicating that the to-be-conserved cell is turned off in the future time window, otherwise the value is 1; C _j is the state of the neighboring cell in the future time window, C _{j is} taken A value of 0 indicates that the neighboring cell is turned off within the future time window, otherwise the value is 1; t _i is the traffic volume of the to-be-conserved cell in the future time window; t _i is the phase The traffic volume of the neighboring cell in the future time window; T _j is the congestion threshold of the neighboring cell.

In this embodiment, the one or more to-be-conserved cells with the lowest energy consumption of the base station after the network is closed according to the simulation result, and the cell that performs energy saving includes: base station energy consumption and cell transmission power and/or traffic according to the simulation result. The corresponding relationship of the quantity determines the energy saving priority of the cell, wherein the cell boosts the same transmit power and/or traffic The cell with higher energy consumption of the corresponding base station has a higher energy saving priority; the energy saving cell is selected from high to low according to the energy saving priority, as a cell for energy saving.

In this embodiment, determining, according to the corresponding relationship between the base station energy consumption and the cell transmit power and/or the traffic volume in the simulation result, determining the energy saving priority of the cell includes:

Determining the energy saving priority of the cell, where P _i is the energy consumption of the to-be-conserved cell; t _i is the traffic volume of the to-be-conserved cell in the future time window.

In this embodiment, the method further includes: when the real-time traffic volume of the cell exceeds a preset threshold, the cell is turned off from the neighboring cell, and the cell is opened from low to high according to the energy-saving priority.

In this embodiment, before the power consumption of the entire network after the energy to be saved is turned off according to the predicted traffic time of each cell, the method further includes: selecting the to-be-conserved cell in the cell that is allowed to be closed.

According to another embodiment of the present invention, there is also provided an energy saving apparatus, comprising: a prediction module, configured to predict a traffic volume of each of the cells in a future time window according to a historical traffic volume of each cell in the stored network; a module, configured to simulate, according to the predicted traffic volume of each cell, the base station energy consumption of the entire network after the energy-saving cell is closed; the decision module is configured to determine, according to the simulation result, that the base station consumes the lowest energy after the network is shut down. One or more cells to be saved, as a cell for energy conservation.

In this embodiment, the simulation module is further configured to: after the traffic of each cell is simulated according to the predicted future time window, whether the cell is congested after the cell to be saved is closed; the decision module is further configured to: according to the simulation As a result, it is determined that the base station of the entire network after the shutdown has the lowest energy consumption and there is no one or more cells to be saved that are congested by the cell, as the cell for energy conservation.

In this embodiment, the determining module includes: a determining unit, configured to determine a power saving priority of the cell according to a correspondence between a base station energy consumption and a cell transmit power and/or a traffic volume in the simulation result, where the cell promotion is the same The cell with higher power consumption of the base station corresponding to the transmit power and/or the traffic volume has a higher energy saving priority; the first selecting unit is configured to select the energy to be saved cell according to the energy saving priority from high to low, as energy saving Community.

In this embodiment, the determining module further includes: a second selecting unit, configured to: when the real-time traffic volume of the cell exceeds a preset threshold, the neighboring cell is closed from the cell, and the energy saving priority is from low to Open a cell high.

In this embodiment, the apparatus further includes: a selecting module, configured to select the to-be-conserved cell in a cell that is allowed to be closed.

According to the embodiment of the present invention, the traffic volume of each cell in the future time window is predicted according to the historical traffic volume of each cell in the stored network; and the traffic volume of each cell is simulated to be closed according to the predicted future time window. Base station energy consumption of the whole network after the cell; according to the simulation result, it is determined that one or more energy-saving cells with the lowest energy consumption of the base station after the network is closed, as the way of energy-saving cells, the base station energy-saving strategy in the related technology is solved only Considering the traffic volume, the problem of poor energy saving effect can achieve optimal energy saving effect.

DRAWINGS

The drawings described herein are intended to provide a further understanding of the invention, and are intended to be a part of the invention. In the drawing:

1 is a flow chart of an energy saving method according to an embodiment of the present invention;

2 is a block diagram showing the structure of an energy saving device according to an embodiment of the present invention.

detailed description

The invention will be described in detail below with reference to the drawings in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

Method embodiment

This embodiment provides a base station power saving method to solve at least one of the above problems. By investigating the relationship between traffic volume and base station energy consumption, an energy-saving scheme is proposed to guide the base station to perform operations such as shutdown/opening. The method in this embodiment can be applied to an independent entity, and can also be applied to a module integrated with an operation and maintenance center (OMC) of a base station.

In this embodiment, an energy saving method is provided. FIG. 1 is a flowchart of an energy saving method according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps:

Step S102: predict, according to the historical traffic volume of each cell in the stored network, the traffic volume of each cell in the future time window;

Step S104, simulating the energy consumption of the base station of the entire network after the energy-saving cell is closed according to the traffic volume of each cell in the predicted future time window;

Step S106: Determine, according to the simulation result, one or more to-be-conserved cells with the lowest energy consumption of the base station of the entire network after the shutdown, as the cell that performs energy conservation.

In this embodiment, the traffic volume of each cell is predicted by using the foregoing steps, and the base station energy consumption of the entire network after the cell is turned off is simulated according to the predicted traffic volume, and then the cell with the lowest energy consumption is selected according to the simulation result to save energy, so that The energy consumption of each cell in the case of energy saving is considered to be an energy-saving strategy, and since the energy consumption of each cell is saved by simulation, the energy consumption obtained is relatively accurate, and the energy consumption can be obtained in advance. The situation, and then set the corresponding strategy according to the energy consumption situation, solves the problem that the base station energy saving strategy in the related technology only considers the traffic volume and the energy saving effect is not good, and can achieve the optimal energy saving effect.

In this embodiment, step S104 can simulate base station energy consumption of the entire network according to the following mathematical model:

The functional relationship between t _i .

In addition, when performing the foregoing simulation process of step S104, it may be further simulated whether there is a congestion situation, that is, whether the cell is congested after the traffic to be saved is closed according to the traffic volume of each cell in the predicted future time window; and further According to the simulation result, it is determined that one or more to-be-conserved cells with the lowest energy consumption of the base station after the shutdown and no congestion occurs in the cell after the shutdown, as the cell that performs energy saving in the above step S106.

Among them, it can be judged according to the following formula whether there is congestion in the cell:

And

In this embodiment, in the decision process of step S106, the energy saving priority of the cell may be determined according to the correspondence between the base station energy consumption and the cell transmit power and/or the traffic volume in the simulation result, where the cell promotion is the same. The cell with higher power consumption of the base station corresponding to the transmit power and/or the traffic volume has a higher energy-saving priority; and then the cell to be saved is selected according to the energy-saving priority from high to low, as a cell for energy conservation.

Specifically, it can be passed

Determining the energy saving priority of the cell, where P _i is the energy consumption of the to-be-conserved cell; t _i is the traffic volume of the to-be-conserved cell in the future time window. Further, when the real-time traffic of the cell exceeds the preset threshold, a cell may be opened from the low-to-high energy-saving priority in the neighboring cell where the cell is closed.

In addition, although some stations have a small amount of traffic, they cannot be powered off due to factors such as coverage. For such base stations, simply powering them down with a small amount of traffic may cause problems such as insufficient coverage of the network. Therefore, in consideration of such a coverage limitation factor, before the step S104, the range of selecting the to-be-conserved cell may be limited, that is, the cell to be saved is selected in the cell that is allowed to be closed. In this way, for some cells that are not allowed to be closed due to coverage limitation factors, the selection of the energy-saving cells may not be performed, thereby providing stable and high-quality network services for key users.

After determining the energy-saving cell, when all the users in the energy-saving cell have migrated, the cell starts to enter the energy-saving state, and sends a power-off completion message to the OMC for confirmation. The neighbor cell relationship update is performed on the OMC, and the new neighbor relationship is sent to the cell.

If the real-time traffic of a certain cell is high due to an unexpected situation, the OMC can be notified after reaching a certain threshold. The OMC selects a powered-off neighboring area and performs an emergency power-on operation to migrate the traffic of the cell to avoid network congestion.

The following is a brief explanation of the acquisition of the above formula:

Assuming that there are N cells in the network, the basic energy consumption of cell i in the case of cell shutdown is

The maximum transmit power of the i-th cell is

The state of cell i in the next time window is C _i . If the cell is closed, C _i takes a value of 0, otherwise the value is 1, that is,

For some particularly important sites, due to factors such as coverage, they cannot be turned off. In this case, the corresponding state C _i value should be set to 1.

The specific simulation steps are as follows:

Step 1: First, according to the historical traffic data volume, predict the traffic volume of each cell in the next time window as t _i ;

Step 2, according to the laboratory simulation test data or the current network statistics, the cell power consumption P _i and

the relationship between the function f _i t _i, i.e.,

In step 3, the cell i has M _i neighboring cells. If the cell is closed, its traffic will be migrated to the M _i neighboring cells, and the traffic of the cell i to the cell j is Δ(i, j). , which is

Step 4: At this time, congestion should not occur in all cells, where T _j is the congestion threshold of cell j

Step 5: In order to achieve the best energy saving effect, even if the base station energy consumption P of the whole network takes a minimum value, it is necessary to make a decision to assign a value of 0 or 1 to C _i .

In summary, the following mathematical model is established:

Where s.t is an abbreviation method in operations research, subject to, meaning obeying. To achieve some optimal purpose, you need to obey the restrictions contained in the braces.

In theory, using the enumeration method to solve the above model, it is possible to achieve the best energy-saving effect. But the algorithm complexity of the above model solving is close to

(Wh, M is the total number of cells that are eventually shut down), and the amount of computation will increase sharply as the total number of cells in the network increases. In order to speed up the solution of the above model, we have simplified the solution process of the above model.

In step 1, in order to avoid frequent cell opening/closing operations, the time window can be set to 1 hour or shorter according to the actual needs of the operator. t _i can take the value of the traffic volume for the same time period in the most recent period of time. For example, it is predicted that the traffic volume from 7:00 to 8:00 in the evening can be predicted according to the traffic volume trend of the cell from 7:00 to 8:00 in the latest month.

In step 2,

with

It is a known amount. In the laboratory, P _i can be simulated according to the typical configuration of the cell.

The empirical function f _{i of} traffic.

Specifically, in the laboratory, for a typical cell configuration, the maximum transmit power of the cell is set in steps of 1 w, and the time window given in step 1 is sequentially examined, under different maximum transmit powers, and under different traffic volumes. The final power consumption of the cell, and a data relationship table between the cell energy consumption, the maximum transmission power, and the traffic volume is obtained.

Taking a 3-carrier GSM cell as an example, it is assumed that its maximum transmit power can be configured to 30 watts. It can be considered that the maximum transmission power of the cell is 1 watt, 2 watts..., 30 watt hours, and the equivalent total traffic is 0.5 Ireland, 1 Ireland, 1.5 Ireland..., 22 Ireland, the final energy consumption of the community within one hour. .

The above method is still valid for UMTS and LTE cells.

In practical applications, different cells can query the corresponding data relationship table according to their own wireless configuration, that is, the energy consumption prediction value of the cell can be obtained.

In step 3, the traffic Δ(i, j) of cell i moving to cell j is affected by various wireless factors, and it can be assumed that the traffic of cell i is absorbed by its neighbors on average.

Further, the cell can be shut down in the following order of priority.

In step 1, t _i has been calculated, and in step 2, P _i can be calculated by looking up the table, according to

Sort all cells.

A larger value means that the same traffic is absorbed, and the greater the energy consumed by the cell, the higher the priority of the cell being turned off.

according to

Scan all cells involved in energy saving from large to small. When scanning to a cell, it is necessary to consider that traffic in its neighboring area cannot be congested after traffic migration. That is, after the cell is turned off, if the formulas (2) and (3) can be satisfied at the same time, the corresponding state value C _{i is} set to 0, otherwise it is set to 1.

After all the cells participating in the energy saving are scanned, a preferred scheme for cell closure can be obtained.

In addition, when there is a cell real-time traffic exceeding a certain threshold, it can also be from its closed neighboring area, according to

Open a cell in order from low to high to avoid traffic congestion.

Through the analysis of the above solution process, it can be seen that the calculation amount of the overall solution is greatly reduced, thereby greatly speeding up the solution.

In summary, the present embodiment utilizes an operational research method to comprehensively consider all cells in the entire network and establish a mathematical model. A cell energy saving strategy is given, which can effectively reduce the energy consumption of the base station system. It not only ensures network coverage, but also considers energy-saving requirements, and achieves the goal of energy-saving and low-carbon of the base station system.

Device embodiment

Corresponding to the foregoing energy-saving method, an energy-saving device is also provided in this embodiment. The device in this embodiment may be an independent entity, or may be integrated with an operation and maintenance center (OMC) of the base station. together. The apparatus is configured to implement the above-described embodiments and preferred embodiments, and the description thereof has been omitted. As used below, the term "module" may implement a combination of software and/or hardware of a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.

2 is a structural block diagram of an energy saving device according to an embodiment of the present invention. As shown in FIG. 2, the device includes a prediction module 22, an analog module 24, and a decision module 26. The following describes each module in detail:

The prediction module 22, which may also be referred to as a traffic prediction module, is configured to predict the traffic volume of each cell in a certain time window according to the historical traffic data of each cell in the stored network; the prediction module 22 may Connected to a module for storing traffic, the module may be referred to as a traffic storage module, and is configured to store the traffic of each cell in the current network for a long period of time.

The simulation module 24, which may also be referred to as a site (ie, base station) energy consumption prediction module, is connected to the prediction module 22, and is configured to simulate the shutdown of the to-be-consumed cell according to the traffic volume of each cell in the future time window predicted by the prediction module 22. Base station energy consumption of the network; according to the description in the method embodiment, the simulation module can obtain a functional relationship between the energy consumption of the station and the maximum transmit power and traffic volume of the cell according to the simulation test data in the laboratory, and according to The function calculates the final energy consumption of the cell by using the maximum transmit power and the predicted traffic configured by the cell as input parameters.

The decision module 26 is connected to the simulation module 24, and is configured to determine, according to the simulation result of the simulation module 24, one or more energy-saving cells with the lowest energy consumption of the base station after the shutdown, as the energy-saving cell, that is, through the decision module 26 Guide the energy saving and power-on operations of the sites in the area.

In this embodiment, the simulation module 24 may be further configured to: after the traffic of each cell is simulated according to the predicted future time window, whether the cell is congested after the cell to be saved is closed; the decision module 26 may also The setting is as follows: according to the simulation result, it is determined that one or more to-be-conserved cells with the lowest energy consumption of the base station of the entire network after the shutdown and no congestion occurs in the cell are used as the energy-saving cell.

In this embodiment, the determining module 26 may further include: a determining unit, configured to determine, according to a correspondence between the base station energy consumption and the cell transmit power and/or the traffic volume in the simulation result, the energy saving priority of the cell, where The cell with the same transmit power and/or traffic corresponding to the base station has higher energy consumption, and the energy saving priority is higher; the first selecting unit is connected to the determining unit, and is set according to the energy saving priority from high to Low-selection of the energy-saving cell as a cell for energy conservation.

The decision module 26 may further include: a second selecting unit, connected to the determining unit, configured to: when the real-time traffic volume of the cell exceeds a preset threshold, the neighboring cell is closed from the cell, according to the energy saving priority The level opens a cell from low to high.

In this embodiment, the apparatus may further include: a selecting module, connected to the analog module 24, configured to select the to-be-conserved cell in a cell that is allowed to be closed.

In another embodiment, a software is provided that is configured to perform the technical solutions described in the above embodiments and preferred embodiments.

In another embodiment, a storage medium is also provided, in which the above software is stored, including but not limited to an optical disk, a floppy disk, a hard disk, an erasable memory, and the like.

It will be apparent to those skilled in the art that the various modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein. The steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

An energy saving method comprising:

Predicting the traffic volume of each cell in the future time window according to the historical traffic volume of each cell in the stored network;

Calculating the energy consumption of the base station of the entire network after the energy-saving cell is closed according to the traffic volume of each cell according to the predicted future time window;

According to the simulation result, one or more energy-saving cells with the lowest energy consumption of the base station of the entire network after the shutdown are determined as the energy-saving cell.
The method according to claim 1, wherein the base station energy consumption of the entire network after the traffic to be saved is turned off according to the predicted traffic time of each cell according to the predicted future time window comprises:

The base station energy consumption of the whole network is simulated according to the following mathematical model:

Where P is the base station energy consumption of the entire network; P i is the energy consumption of the to-be-conserved cell;
The basic energy consumption of the to-be-conserved cell in the case of the shutdown; N is the total number of cells in the network; C i is the state of the to-be-conserved cell in the future time window, and C i is 0. The to-be-conserved cell is closed in the future time window, otherwise the value is 1;
a maximum transmit power of the to-be-conserved cell; t i is a traffic volume of the to-be-conserved cell in the future time window;
P i and according to the simulation test data or the current network statistics
The functional relationship between t i .
The method according to claim 1 or 2, wherein

When the traffic of each cell is simulated according to the predicted future time window, the base station energy consumption of the entire network after the energy-saving cell is closed is simulated, and the method further includes: closing the to-be-conserved cell according to the traffic volume of each cell according to the predicted future time window. After that, whether there is congestion in the cell;

According to the simulation result, it is determined that one or more energy-saving cells with the lowest energy consumption of the base station after the shutdown is used as the energy-saving cell, and the method includes: determining, according to the simulation result, that the base station has the lowest energy consumption and no cell occurrence after the shutdown. Congested one or more cells to be saved, as a cell for energy conservation.
The method according to claim 3, wherein, after the traffic of each cell is simulated to be closed according to the predicted future time window, whether there is congestion in the cell includes:

Determine whether there is congestion in the cell according to the following formula:

i=1, 2, ..., N;

And
j=1, 2, ..., N;

N is the total number of cells in the network; the traffic volume of the to-be-conserved cell i to the neighboring cell j is Δ(i, j); C i is the cell to be saved in the future time window. The value of C i is 0, indicating that the to-be-conserved cell is turned off in the future time window, otherwise the value is 1; C j is the state of the neighboring cell in the future time window, C j is taken A value of 0 indicates that the neighboring cell is turned off within the future time window, otherwise the value is 1; t i is the traffic volume of the to-be-conserved cell in the future time window; t i is the phase The traffic volume of the neighboring cell in the future time window; T j is the congestion threshold of the neighboring cell.
The method according to claim 1, wherein the one or more to-be-conserved cells having the lowest energy consumption of the base station of the entire network after the shutdown is determined according to the simulation result, and the cell for performing energy saving includes:

Determining the energy saving priority of the cell according to the correspondence between the base station energy consumption and the cell transmit power and/or the traffic volume in the simulation result, wherein the base station increases the energy consumption of the base station corresponding to the same transmit power and/or traffic volume. Community, the higher the priority of energy saving;

The energy-saving cell is selected according to the energy-saving priority from high to low, as a cell for energy conservation.
The method according to claim 5, wherein determining the energy saving priority of the cell according to the correspondence between the base station energy consumption and the cell transmission power and/or the traffic volume in the simulation result comprises:

by
Determining the energy saving priority of the cell, where P i is the energy consumption of the to-be-conserved cell; t i is the traffic volume of the to-be-conserved cell in the future time window.
The method of claim 5 wherein the method further comprises:

When the real-time traffic of the cell exceeds a preset threshold, a cell is opened from the low-to-high energy-saving priority according to the energy-saving priority.
The method according to any one of claims 1 to 7, wherein before the power consumption of the entire network after the traffic to be saved is turned off according to the traffic volume of each cell according to the predicted future time window, the method further includes:

The to-be-conserved cell is selected in a cell that is allowed to be turned off.
An energy saving device comprising:

a prediction module, configured to predict, according to a historical traffic volume of each cell in the stored network, a traffic volume of each cell in a future time window;

The simulation module is configured to simulate, according to the predicted traffic volume of each cell, the base station energy consumption of the entire network after the energy-saving cell is closed;

The decision module is configured to determine, according to the simulation result, one or more to-be-conserved cells with the lowest energy consumption of the base station of the entire network after the shutdown, as a cell for energy conservation.
The apparatus according to claim 9, wherein

The simulation module is further configured to: if there is a cell congestion after the traffic to be saved is simulated according to the traffic volume of each cell in the predicted future time window;

The decision module is further configured to: determine, according to the simulation result, one or more to-be-conserved cells with the lowest energy consumption of the base station after the shutdown and no congestion of the cell, as the cell that performs energy conservation.
The apparatus of claim 9 wherein said decision module comprises:

a determining unit, configured to determine, according to a correspondence between a base station energy consumption and a cell transmit power and/or a traffic volume in the simulation result, the energy saving priority of the cell, where the cell increases the same transmit power and/or traffic volume The higher the energy consumption of the base station, the higher the energy saving priority;

The first selection unit is configured to select a to-be-conserved cell from high to low according to the energy-saving priority, as a cell that performs energy saving.
The apparatus of claim 11 wherein said decision module further comprises:

The second selecting unit is configured to: when the real-time traffic volume of the cell exceeds the preset threshold, open a cell from the low-to-high energy-saving priority according to the energy-saving priority.
The device according to any one of claims 9 to 12, wherein the device further comprises:

The selecting module is configured to select the to-be-conserved cell in a cell that is allowed to be turned off.