CN104320837B - The power-economizing method and device of wireless network - Google Patents
The power-economizing method and device of wireless network Download PDFInfo
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- CN104320837B CN104320837B CN201410602609.6A CN201410602609A CN104320837B CN 104320837 B CN104320837 B CN 104320837B CN 201410602609 A CN201410602609 A CN 201410602609A CN 104320837 B CN104320837 B CN 104320837B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
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- 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
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/242—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account path loss
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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
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Abstract
The embodiment of the present invention provides a kind of power-economizing method and device of wireless network, and this method includes：Obtain the business parameters data of wireless network in preset time period；When the value of the service parameter is less than predetermined threshold value, then determine to close multiple target BS in the wireless network using ant group algorithm；The base station being not turned off in the wireless network is controlled to complete the former coverage area and capacity compensation of the multiple target BS.In the present invention, realize and close that portion of base stations is energy saving to carry out, and it is energy saving well to realize the wireless network in the case where ensureing coverage area.
Description
Technical field
The present invention relates to the communication technology more particularly to the power-economizing methods and device of a kind of wireless network.
Background technology
With the continuous development and extensive use of the communication technology, the energy consumption of information communication industry increases year by year.Wherein,
For operator, the expense shared by the consumption of electricity alreadys exceed the half of total running cost.Therefore, operator is increasingly
Pay attention to energy saving link, to cut operating costs.Currently, within a wireless communication network, base station not only substantial amounts, and energy consumption is very
Greatly.
In actual use, different time sections, it is different to the demand of base station, in the prior art, in deployment channel radio
It is to be disposed according to the demand of peak period, and the base station disposed is all turned on during communication network.
But using the prior art, within certain periods relatively low to base station demand, there is a large amount of energy waves
Take.
Invention content
The present invention provides a kind of power-economizing method and device of wireless network, for solving the problems, such as energy waste.
First aspect present invention provides a kind of power-economizing method of wireless network, including：
Obtain the business parameters data of wireless network in preset time period；
When the value of the service parameter is less than predetermined threshold value, then determine to close in the wireless network using ant group algorithm
Multiple target BS；
The base station being not turned off in the wireless network is controlled to complete the former coverage area and capacity of the multiple target BS
Compensation.
Second aspect of the present invention provides a kind of energy saver of wireless network, including
Acquisition module, for obtaining the business parameters data of wireless network in preset time period；
Determining module, for when the value of the service parameter is less than predetermined threshold value, then determining to close using ant group algorithm
Multiple target BS in the wireless network；
Control module, the original for the base station being not turned off in the wireless network to be controlled to complete the multiple target BS are covered
Lid range and capacity compensation.
The power-economizing method and device of wireless network provided by the invention obtain the business ginseng of wireless network in preset time period
Number information, when service parameter value be less than predetermined threshold value, then using ant group algorithm determine close wireless network in multiple targets
Base station, and control the former coverage area and capacity compensation of the above-mentioned multiple target BS of base station completion being not turned off in wireless network.
It is energy saving to carry out to realize closing portion of base stations, and realizes the wireless network in the case where ensureing coverage area and saves well
Energy.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments, for those of ordinary skill in the art, without having to pay creative labor, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of the power-economizing method embodiment one of wireless network provided by the invention；
Fig. 2 is the flow diagram of the power-economizing method embodiment two of wireless network provided by the invention；
Fig. 3 is the flow diagram of the power-economizing method embodiment three of wireless network provided by the invention；
Fig. 4 is the structure diagram of the energy saver embodiment one of wireless network provided by the invention.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
All other embodiments obtained without creative efforts shall fall within the protection scope of the present invention.
Signified wireless network can be Universal Mobile Communication System (Universal Mobile in the embodiment of the present invention
Telecommunications System, UMTS) 3rd generation mobile communication technology (3G) network, but be not limited thereto.
Fig. 1 is the flow diagram of the power-economizing method embodiment one of wireless network provided by the invention, as shown in Figure 1, should
Method includes：
S101, the business parameters data for obtaining wireless network in preset time period.
By monitoring entire wireless network, business parameters data is obtained.
The business parameters data can include：Traffic information or number of users information etc..
S102, when the value of above-mentioned service parameter is less than predetermined threshold value, then determine to close using ant group algorithm above-mentioned wireless
Multiple target BS in network.
It can determine to close in above-mentioned wireless network using ant group algorithm when portfolio is less than corresponding predetermined threshold value
Multiple target BS；Alternatively, when number of users is less than corresponding predetermined threshold value, determine to close above-mentioned wireless network using ant group algorithm
Multiple target BS in network.It is not limited thereto in the present embodiment.
The base station being not turned off in S103, the above-mentioned wireless network of control complete above-mentioned multiple target BS former coverage area and
Capacity compensation.
Other base stations in above-mentioned wireless network in addition to above-mentioned multiple target BS is controlled to share this multiple base station
Management work shares the former coverage area and capacity compensation of this multiple base stations, energy saving to realize.
In the present embodiment, the business parameters data of wireless network in preset time period is obtained, when the value of service parameter is less than
Predetermined threshold value then determines to close multiple target BS in wireless network, and control in wireless network and do not close using ant group algorithm
The former coverage area and capacity compensation of above-mentioned multiple target BS are completed in the base station closed, it is achieved thereby that ensureing coverage area
In the case of wireless network it is energy saving well.
In another embodiment, above-mentioned multiple target BS are completed in the base station being not turned off in the above-mentioned above-mentioned wireless network of control
Former coverage area and capacity compensation, can be in the above-mentioned wireless network of control with above-mentioned multiple target BS are adjacent is not turned off
Complete the former coverage area and capacity compensation of corresponding above-mentioned target BS in base station.It determines to close some base station, then by this
The adjacent base station of base station completes the original management work in the base station, specifically, the base is completed by the adjacent base station of this base station
It stands former coverage area and capacity compensation.
It should be noted that some that be closed base stations may have multiple adjacent base stations, then can be by these adjacent base stations
The former coverage area and capacity compensation of this base station of shared.Specifically, the coverage area of these adjacent base stations can be increased.
Flow diagrams of the Fig. 2 for the power-economizing method embodiment two of wireless network provided by the invention, implementation shown in Fig. 1
On the basis of example, as shown in Fig. 2, the above-mentioned multiple target BS for determining to close using ant group algorithm in above-mentioned wireless network, packet
It includes：
S201, m ant is put at random on n base station of above-mentioned wireless network；Wherein m is less than n.
Wherein, using the on off state of base station each in wireless network as food source.
S202, using ant group algorithm, obtain the state probability of above-mentioned n base station Zhong Ge base stations.
Wherein, the state probability of base station jWherein u ∈ 1 ... and .., num }, j ∈
1 ... .., n }, k ∈ 1 ... and .., m }, k represents the pass of the number of ant, the sampled energy consumption of num expressions and covering radius
The number of system pair, τijRepresent information prime information, ηijRepresent heuristic information, parameter factors α, β control described information prime information and
The relative importance of the heuristic information.α >=0, β >=0.Assuming that the selected path of ant that number is k is base station i to base
Stand j.T represents current time.
It should be noted that ant is placed at random on each node, wherein, each ant be based on select probability come
The on off state of a base station is selected, then the gradually solution of construction problem, final purpose is to seek optimal solution, i.e., each in network
Base station is turned on and off state.
S203, taboo list is written into the state probability of above-mentioned n base station Zhong Ge base stations.
State probability in the taboo list only has " 1 " and " 0 " two kinds of situations.
S204, according to above-mentioned taboo list, the base station that state probability in above-mentioned taboo list is 0 is closed as target BS
It closes.
The base station that i.e. state probability is 1 needs to open, and the base station that state probability is 0 needs to close, so as to fulfill not
It is carried out in the case of traffic affecting preferable energy saving.
Wherein, above- mentioned information prime informationWherein, i ∈ { 1 ... .., num }, j ∈
1 ... .., n }, ρ is volatility coefficient,It represents to number the ant for being k from the i-th base station to jth base station during current iteration
The information prime information concentration left.Specifically, the pheromones that ant is discharged can volatilize as time goes by, use here
ρ represents the volatilization situation of pervious information prime information after each iteration, this is also just avoided that optimization answer tends to the excellent solution of office
Problem.
It should be noted that ant can leave pheromones on each base station passed through.M ant is fully completed once
After iteration, information prime information will be updated.
It is possible to further set pheromones discharge capacity of the ant in entire solution procedure as definite value Q, when the ant iteration
All base-station nodes of passing by are, if the total path size of the ant is f (πk(t)),
When the ant that number is k chooses certain paths to base station j at the i of base station.
On the basis of above-described embodiment, above-mentioned heuristic informationHeuristic information mainly byIt determines,It represents to work as to number and selects to change base station range from the i-th base station to the path of jth base station for the ant of k
The tolerance constraints of change.Power (2, j) represents sizes of the base station j in different coverage area loss powers.Wherein
It is related with the service quality of wireless network, specifically,
I, j ∈ 1 ... .., n }.
CovijRepresenting the overlapping area of base station i and base station j, S_area represents the overall footprint of above-mentioned wireless network,
Sth represents the tolerance value of the area coverage regional service quality of above-mentioned wireless network, parameterFor ensuring a base station covering model
The service quality for any active ues enclosed.
More specifically,Wherein, w represents any active ues,
degree(w)jRepresent the total number of users in the coverage area of base station j, Threshold_BSjRepresent that the maximum user of base station j holds
Amount.
Flow diagrams of the Fig. 3 for the power-economizing method embodiment three of wireless network provided by the invention, implementation shown in Fig. 2
On the basis of example, as shown in figure 3, using ant group algorithm, the state probability of above-mentioned n base station Zhong Ge base stations is obtained, including：
S301, each parameter of initialization, wherein, time t=0, cycle-index Nc=0, and maximum cycle Nmax is set.
Wherein, the initialization information amount τ of path (i, j)ij(t) it is constant 1, Δ τij=0.
S302, m ant is placed at random on n base station of wireless network.
S303,1 is added to cycle-index Nc.That is Nc=Nc+1.
S304, base station number is set as h=1.
S305,1 is added to base station number.That is h=h+1.
S306, the state probability that ant selects next base station is calculated according to the state probability of base station h, ant is moved to tool
There is the base station of maximum rating probability.
Specifically, calculation base station h nearby base station state probability, therefrom select state probability maximum base station as number for
The base station of h+1, and ant is moved to the base station that the number is h+1.
S307, taboo list is written into the state probability for numbering the base station for being h.
It should be noted that S304~S307 is the calculating analysis carried out for an ant in m ant.
S308, judge whether h is less than n, S305 is performed if so, returning.If it is not, then perform S309.
S309, the information prime information and heuristic information for calculating entire ant colony, to update the information prime information per paths
And heuristic information.
S310, judge whether Nc is less than Nmax, S303 is performed if so, being returned after taboo list is emptied；If it is not, it then exports
Taboo list terminates flow.
The base station of wireless network is turned on and off according to taboo list later.
Fig. 4 is the structure diagram of the energy saver embodiment one of wireless network provided by the invention, as shown in figure 4, should
Device includes：Acquisition module 401, determining module 402 and control module 403, wherein：
Acquisition module 401, for obtaining the business parameters data of wireless network in preset time period.
Determining module 402, for when the value of the service parameter is less than predetermined threshold value, determining to close using ant group algorithm
Multiple target BS in the wireless network.
Control module 403, for the base station being not turned off in the wireless network to be controlled to complete the multiple target BS
Former coverage area and capacity compensation.
In the present embodiment, the business parameters data of wireless network in preset time period is obtained, when the value of service parameter is less than
Predetermined threshold value then determines to close multiple target BS in wireless network, and control in wireless network and do not close using ant group algorithm
The former coverage area and capacity compensation of above-mentioned multiple target BS are completed in the base station closed, it is achieved thereby that ensureing coverage area
In the case of wireless network it is energy saving well.
Further, control module 403, it is adjacent with the multiple target BS in the wireless network specifically for controlling
The base station that is not turned off complete the former coverage area and capacity compensation of the corresponding target BS.
Determining module 402, specifically for m ant is put at random on n base station of the wireless network, wherein m is small
In n；Using ant group algorithm, the state probability of the n base station Zhong Ge base stations is obtained, wherein, the state probability of base station jWherein u ∈ 1 ... .., num }, j ∈ 1 ... .., n }, k ∈ 1 ... and .., m }, k represents ant
The number of the relation pair of the number of ant, the sampled energy consumption of num expressions and covering radius, τijRepresent information prime information, ηijIt represents
The relative importance of heuristic information, parameter factors α, β control described information prime information and the heuristic information；By the n
The state probability write-in taboo list of a base station Zhong Ge base stations；It is 0 by state probability in the taboo list according to the taboo list
Base station is closed as target BS.
On the basis of above-described embodiment, described information prime informationWherein, i ∈
1 ... .., num }, j ∈ 1 ... .., n }, ρ is volatility coefficient,It represents to number the ant for being k during current iteration
The information prime information concentration left from the i-th base station to jth base station.
The heuristic informationIt represents to work as and numbers the ant for being k selection from the i-th base station
The tolerance constraints for base station range being made to change to the path of jth base station.
The business parameters data is traffic information or number of users information.
The device is for performing preceding method embodiment, and implementing principle and technical effect are similar, and details are not described herein.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Aforementioned program can be stored in a computer read/write memory medium.The journey
Sequence when being executed, performs the step of including above-mentioned each method embodiment；And aforementioned storage medium includes：ROM, RAM, magnetic disc or
The various media that can store program code such as person's CD.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
Can so modify to the technical solution recorded in foregoing embodiments either to which part or all technical features into
Row equivalent replacement；And these modifications or replacement, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (6)
1. a kind of power-economizing method of wireless network, which is characterized in that including：
The business parameters data of wireless network in preset time period is obtained, the business parameters data is traffic information or user
Quantity information；
When the value of the service parameter is less than predetermined threshold value, then determine to close using ant group algorithm more in the wireless network
A target BS；
The base station being not turned off in the wireless network is controlled to complete the former coverage area and capacity compensation of the multiple target BS；
The multiple target BS for determining to close using ant group algorithm in the wireless network, including：
M ant is put at random on n base station of the wireless network, wherein m is less than n；
Using ant group algorithm, the state probability of the n base station Zhong Ge base stations is obtained, wherein, the state probability of base station jWherein u ∈ 1 ... .., num }, i ∈ 1 ... .., num }, j ∈ 1 ... and .., n }, k ∈
{ 1 ... .., m }, k represent the number of ant, and num represents the number of sampled energy consumption and the relation pair of covering radius, τijTable
Show information prime information, ηijExpression heuristic information, parameter factors α, β control described information prime information and the heuristic information
Relative importance, t represent current time；
Taboo list is written into the state probability of the n base station Zhong Ge base stations；
According to the taboo list, the base station that state probability in the taboo list is 0 is closed as target BS；
The heuristic information It represents to work as and numbers the ant for being k selection from the i-th base station to jth base
The path stood and the tolerance constraints that base station range is made to change, Power (2, j) represent that base station j is covered in difference
The size of loss power under lid ambit.
2. according to the method described in claim 1, it is characterized in that, the base station being not turned off in the control wireless network is complete
Into the former coverage area and capacity compensation of the multiple target BS, including：
The base station being not turned off adjacent with the multiple target BS in the wireless network is controlled to complete the corresponding target
The former coverage area and capacity compensation of base station.
3. according to the method described in claim 2, it is characterized in that, described information prime information
Wherein, i ∈ { 1 ... .., num }, j ∈ 1 ... .., n }, ρ is volatility coefficient,Number is during representing current iteration
The information prime information concentration that the ant of k is left from the i-th base station to jth base station.
4. a kind of energy saver of wireless network, which is characterized in that including：
Acquisition module, for obtaining the business parameters data of wireless network in preset time period, the business parameters data is industry
Business amount information or number of users information；
Determining module, for when the value of the service parameter is less than predetermined threshold value, determining to close the nothing using ant group algorithm
Multiple target BS in gauze network；
Control module, for the base station being not turned off in the wireless network to be controlled to complete the former covering model of the multiple target BS
It encloses and capacity compensation；
The determining module, specifically for m ant is put at random on n base station of the wireless network, wherein m is less than n；
Using ant group algorithm, the state probability of the n base station Zhong Ge base stations is obtained, wherein, the state probability of base station jWherein u ∈ 1 ... .., num }, i ∈ 1 ... .., num }, j ∈ 1 ... and .., n }, k ∈
{ 1 ... .., m }, k represent the number of ant, and num represents the number of sampled energy consumption and the relation pair of covering radius, τijTable
Show information prime information, ηijExpression heuristic information, parameter factors α, β control described information prime information and the heuristic information
Relative importance, t represent current time；Taboo list is written into the state probability of the n base station Zhong Ge base stations；According to the taboo
Avoid table, the base station that state probability in the taboo list is 0 is closed as target BS；
The heuristic information It represents to work as and numbers the ant for being k selection from the i-th base station to jth base
The path stood and the tolerance constraints that base station range is made to change, Power (2, j) represent that base station j is covered in difference
The size of loss power under lid ambit.
5. device according to claim 4, which is characterized in that the control module, specifically for controlling the wireless network
In network adjacent with the multiple target BS base station being not turned off complete the corresponding target BS former coverage area and
Capacity compensation.
6. device according to claim 5, which is characterized in that described information prime information
Wherein, i ∈ { 1 ... .., num }, j ∈ 1 ... .., n }, ρ is volatility coefficient,Number is during representing current iteration
The information prime information concentration that the ant of k is left from the i-th base station to jth base station.
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| US9980218B2 (en) * | 2015-02-27 | 2018-05-22 | Huawei Technologies Canada Co., Ltd. | System and method for user terminal-aware cell switch-off |
| CN105263147A (en) * | 2015-11-25 | 2016-01-20 | 中国联合网络通信集团有限公司 | Base station regulation method and equipment |
| CN108337682B (en) * | 2018-01-30 | 2021-12-07 | 北京佰才邦技术股份有限公司 | Method and device for controlling base station to be started |
| CN113873618B (en) * | 2020-06-30 | 2023-11-03 | 中国移动通信集团吉林有限公司 | Base station energy-saving control method and system based on Internet of things |
| CN114157934B (en) * | 2021-12-01 | 2024-05-10 | 中国电信股份有限公司 | Service board card processing method, device, equipment and medium |
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| CN101459914A (en) * | 2008-12-31 | 2009-06-17 | 中山大学 | Wireless sensor network node coverage optimization method based on ant colony algorithm |
| CN103269511A (en) * | 2013-04-23 | 2013-08-28 | 北京邮电大学 | Method for energy conservation for wireless access network |
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| EP2519058B1 (en) * | 2011-04-29 | 2013-10-09 | Alcatel Lucent | Method for attaching a user terminal to a base station of a network |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101459914A (en) * | 2008-12-31 | 2009-06-17 | 中山大学 | Wireless sensor network node coverage optimization method based on ant colony algorithm |
| CN103269511A (en) * | 2013-04-23 | 2013-08-28 | 北京邮电大学 | Method for energy conservation for wireless access network |
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