CN104883725B - Network energy-saving method based on website actual loading in a kind of long-term evolving network - Google Patents
Network energy-saving method based on website actual loading in a kind of long-term evolving network Download PDFInfo
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- CN104883725B CN104883725B CN201510344911.0A CN201510344911A CN104883725B CN 104883725 B CN104883725 B CN 104883725B CN 201510344911 A CN201510344911 A CN 201510344911A CN 104883725 B CN104883725 B CN 104883725B
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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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- 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 invention discloses the network energy-saving method based on website actual loading in a kind of long-term evolving network, entire method includes mainly three steps：1）Based on evolution node B（Evolved Node B, eNB）The suspend mode website of history and real time load data is adjudicated in advance；2）The quick estimation of load influenced based on system overall load, energy expenditure variation before and after eNB website suspend mode and suspend mode eNB website decision methods；3）Situation of change is loaded according to adjacent active stations, carry out distribution to suspend mode eNB websites mutually wakes up in real time.Through the invention, the computation complexity of website Selecting operation can be reduced in the history that makes full use of eNB websites and real time load operation characteristic, and can fast quantification estimate the switching of the load between website, it is final to realize that the suspend mode of network is energy saving.
Description
Technical field
The present invention relates to a kind of website suspend mode being based on evolution node B (Evolved Node B, eNB) Operational Data Analysis
Network energy-saving method is related to long term evolution (Long Term Evolution, LTE) network energy-saving problem, belongs to wireless communication networks
Network technique field in network.
Background technology
In recent years, network side is concentrated mainly on to the research of power-saving technology in cellular network, i.e., by website in network
Carry out the energy saving of effectively energy saving realization whole system.Specific method mainly has following several：1) hardware design of website：Use height
The low-power chip of integrated level；Reduce the quantity of radiator fan；Improve the integrated level and linear characteristic of power amplifier；2) net
Network make rational planning for and Topology Management：Rational Site Selection reduces website quantity and equipment transmission power；Make full use of nature
Environment carries out the cooling down of website；Increase relay node and micro- website；3) rational management of frequency spectrum and resource：It will dynamically use
Family is transferred to from other frequency bands in special activation frequency band, and selectively closes off power on other frequency bands；It is provided using chance
Source is dispatched and various diversity techniques increase entire system capacity, makes good use of limited bandwidth resources to greatest extent.
After LTE network planning construction, the hardware device of topological structure and upgrading website by adjusting network will ten
Divide difficulty, and economic cost is high.Therefore consideration carries out eNB websites energy saving, first will be to the practical feelings of website load running
Condition statistical analysis.There are apparent wave crests and trough in different moments for eNB site traffics load capacity, especially at the moment at night
Website is substantially at idle state, however in order to ensure that business load when peak value but still keeps high power fortune
Row consumes big energy, therefore website dormant network power save mode has prodigious potentiality.
Initially, the suspend mode of website is determined by the way that central controller is arranged in a network to each website transmission information
Journey, but without the flow of website wake-up after design suspend mode.Then after considering the location information between website, when bearing for user
The fixed load threshold value carried higher than setting just goes to wake up suspend mode website by central controller.Further ideal hexagonal
In cellular network and Manhattan prototype network, by the analysis to business load characteristic, website dynamic switching strategy is carried out
Research.And then, it is directed to different network structures, such as macro station point/macro station point, macro station point/micro- website, macro station point/room respectively
Interior Home eNodeB has carried out the research of website dormancy strategy.
Invention content
Excessively single in research in network energy-saving at present to emphasize energy-efficient effect, operation complexity is high, and general
It is only applicable to single fixed load threshold judgement, is unfavorable for practical operation when loading dynamic change in real network.So
It needs, deeper into analysis, the case where according to load day and night variation, to stop eNB websites by newly defining network load affecting parameters
Dormancy/wake-up distributed method is studied, and wherein network load influences to have reacted load after website suspend mode to ambient stations
It influences.And environment by adjacent sites is needed, including distance, quantity, load etc. are because usually fast and accurately quantitative estimation is negative
The influence of load.
In view of the above technical problems, emphasis of the present invention is for the practical intensive commerce area network in city, by history and
The Conjoint Analysis of real-time network load data, consider network load variation real-time and periodically under the premise of, devise a set of
The website sleeping/waking method of low complex degree.Mainly there are three aspect features for method：
(1) Conjoint Analysis is carried out to website load histories in network and real-time running data, in website sleeping/waking process
In centralized and distributed method be respectively adopted quickly determine target eNB websites；
(2) website packet dormancy strategy and multistage sleeping/waking load-threshold mode decision scheme are carried out, user is effectively prevented from
Because the frequent wake/sleep of the continuous suspend mode of multiple websites or suspend mode website and caused by switching and ping-pong repeatedly；
(3) in dense urban environments, load effect coefficient carries out quantitative analysis between cellular network website, and studies phase
The statistical distribution answered, the fast prediction for network load variation provide foundation.
1 suspend mode eNB websites are preselected
(the time window is ranked up to the load total amount in all macro eNB websites setting time windows using central controller
By sets itself after operator's statistics website load), queue L is then formed from low to high, is loaded whithin a period of time minimum
The operability that website is turned off is high：
Wherein ρk(t) loads of the user k in t moment in eNB websites i, S in all Website Hosting B are indicated in regioniTable
Show the area coverage of website i.
When the pre- suspend mode website website selected is loaded compared with previous moment within the period of setting in downward trend,
So it will be in the operating status of more low-load in the next period.Define system load sleep threshold variable, table
It is shown as ρoff, by the time scale situation that low-load in one time cycle of website is run carry out Cumulative probability statistics (this when
Between period and low-load time scale by operator's sets itself).When the load value of website is less than this threshold value, then
It is possible to suspend mode website.ρ simultaneouslyoffRegulating effect also is played to the stability of system and reliability, works as ρoffUser passes through when low
The delay gone through and cutting off rate can reduce, and user personality is healthy and strong when system encounters emergency situations, but the profit of system at this time
It is low with rate, the vast resources for base station of having left unused.In order to avoid causing the fluctuation of load to change due to emergency situations in real network
It is too big, it can be by carrying out Combined Ration to confirming with the contemporaneous data of history.Specific method is：If corresponding in the history same period
The threshold value that total amount is similarly less than setting is loaded, then illustrating that this is a normality；Conversely, may illustrate the total amount of load of base station
The case where declining an only burst.Re-define a waiting list Lwait, those and historic load trend are stored in this list
Then inconsistent eNB site information preferentially carries out suspend mode judgement in next period to the website in waiting list, and
And in second judgement there is no need to consider further that historic load, can directly judge.
2 quick eNB websites dormancy methods
After the eNB websites selected prepare suspend mode, in general it can cause to increase to the load of adjacent sites around,
At this moment adjacent website will not only ensure to newly increase the service quality of user, and it may also be necessary to ensure the existing use in self zone
Family service quality.Therefore, a system load switching threshold variable is defined, ρ is expressed asswitch, by one week time of website
The time scale situation that high load is run in phase carries out Cumulative probability statistics, and (time cycle and high load time scale are by runing
Quotient's sets itself).After the load total amount of adjacent eNB website itself is plus additional load caused by suspend mode website after website suspend mode
It should not be more than ρ to load summationswitch, additional load indicates with Δ ρ.
Network energy consumption after eNB website suspend mode simultaneously in a period of time also should be lower than previous energy expenditure.
Only in the case that the two conditions all meet, this eNB website can be carried out suspend mode, otherwise can only return to queue L relayings
It is continuous to carry out pre- suspend mode website selection.
If having the adjacent sites that user switches into that can continuously be stopped because of periphery website suspend mode in view of those
It sleeps, will result in repeatedly switching of the user between website and leads to ping-pong.It is as follows because being designed in the method：As an eNB
After website suspend mode, just it is all deleted from initialization queue L with its adjacent eNB website within this time cycle, it is ensured that herein
These adjacent will not all enter dormant state in time cycle.Within next time cycle, all non-suspend mode are counted again
Website forms new queue L.
The process of operation for simplicity in this method, it is assumed that the coverage area between website is not overlapped mutually, and in Di
The overlay area of website is divided by irregular polygon area by perpendicular bisector method under the Buddhist nun's triangulation guidance of principle of Lip river
Domain, i.e. Wei Nuotu.
In order to obtain the situation of change that network energy consumes before and after suspend mode, a most important step seeks to estimate suspend mode first
Whole system loads later, especially suspend mode website additional load Δ ρ caused by adjacent sites.It can not in real network
Accurately obtain the load changing rule of each user, thus be difficult by estimating the load of each user by integrate obtain it is whole
The load situation of change of a network, this method are quick from the angle of the load total amount of eNB websites by considering in real network
Estimation obtains additional load Δ ρ.
The first step has carried out stroke the overlay area of (Fig. 1) in survey region each eNB websites by perpendicular bisector method
Point, it is assumed that in the overlay area S of website iiInterior website load, which is obeyed, to be uniformly distributed, that is,：
WhereinIt is the probability density of load.
Second step after some eNB website prepares suspend mode just needs to continue through vertical bisection method that suspend mode region is seamless
Gap is allocated to adjacent eNB website, i.e.,：
Wherein in Si→jIndicate the overlay area that adjacent eNB website j is newly increased by suspend mode website i.
Third walks, the loading condition of comprehensive each user, loads handoff factor between defined variable eNB websites, is expressed as
Cload, calculated with the ratio for loading total amount before suspend mode by the load total amount in website suspend mode rear region, expression formula is as follows：
Wherein LiIndicate the load of website i,Indicate that website i gives periphery website ineiThe additional load brought.
To sum up, additional load Δ ρ can be estimated by following expression：
3 eNB awakening methods
It, will be to periphery phase if the growth of load in a period of time in the suspend mode region is rapid after eNB website suspend mode
Neighbors causes to bear, and can influence whole QoS of customer, then just needing to wake up the suspend mode website.But because of the station
Point suspend mode, can not perceive the load situation of change in itself environment, then can only be become according to load by ambient stations
The case where change, goes to realize.Information is intercoursed by X2 interface between in running order active stations, using distributed frame,
Save the processing procedure of central controller.
When the load of working terminal in region is in rising trend, and already exceed ρswitchWhen, in order to avoid due to prominent
Hair-like condition and caused by momentary load increase, the method flow that additional design is compared with history same period load data again.Such as
Fruit history contemporaneous data is also above ρswitch, then suspend mode website can be notified directly, waken up；Otherwise it just needs again etc.
It carries out website again after a period of time and wakes up analysis.A higher load threshold wake-up value variable is re-defined thus, is expressed as ρon,
By to carrying out Cumulative probability statistics (time cycle close to the time scale situation of saturation operation in one time cycle of website
With saturation load time ratio by operator's sets itself).The setting of this parameter can effectively adjust website because of frequent suspend mode/
Wake up and caused by energy saving effect reduce and system in user switching repeatedly.It is loaded more than ρ when last momentswitch's
Active stations are loaded in subsequent time more than ρon, then suspend mode website can be notified to wake up.
The invention has the advantages that：This method outdoor eNB in LTE network first under the intensive environment of city commercial
Then the business load amount long-time statistical of website carries out Conjoint Analysis in conjunction with real time load operation data, by being born between website
Impact factor is carried, center control suspend mode is respectively adopted, the strategy that distributed controll wakes up devises a set of practical, efficient website and stops
Dormancy/awakening method, mainly solves：1) determine that load becomes in decline after quickly estimating the load of website using the load effect factor
Gesture, overall load is relatively low and influences small website to adjacent sites and can close；2) after website suspend mode, design (calculated) load thresholding is effective
Frequent wake/sleep in the short time of website is avoided, and prevents the secondary switching of area's intra domain user；3) historical data pair is combined
Website carries out centralized suspend mode and distribution mutually wakes up.
Description of the drawings
Fig. 1 is a kind of website distribution schematic diagram of real network.
Specific implementation mode
Below to the present invention in real urban environment under long-term evolution (Long Term Evolution, LTE) network
Energy Saving mode is described further：
(1) using central controller is ranked up to the load total amount in all macro eNB websites setting time windows the (time
Window is by sets itself after operator's statistics website load), queue L is then formed from low to high, selects pre- suspend mode website i.
Cumulative probability statistics is carried out by the time scale situation run to low-load in one time cycle of website first
(time cycle and low-load time scale are by operator's sets itself), determines ρoff.Then judge the pre- suspend mode website selected
I loads whether total amount is in downward trend compared with previous moment in time window, if when in downward trend, and website
Real-time be less than ρ with same period historic load valueoff, then can estimate state after pre- suspend mode website i suspend mode.It adds again
Define website waiting list Lwait, those eNB site information inconsistent with historic load trend are stored in this list, are preferentially existed
Suspend mode judgement is carried out to the website in waiting list when next period.
(2) before carrying out the pre- estimation of suspend mode website load, first by being transported to high load in one time cycle of website
Capable time scale situation carries out Cumulative probability statistics (time cycle and high load time scale are by operator's sets itself),
Determine ρswitchThreshold value.The overlay area of (Fig. 1) in survey region each eNB websites is carried out by perpendicular bisector method
After division, formula is utilized：
Further estimate the additional load Δ ρ brought to adjacent eNB website after obtained website suspend mode.If Δ ρ is added
The load summation of adjacent sites itself is no more than ρswitch, thus can be with suspend mode website i.Simultaneously when an eNB website suspend mode
Afterwards, just it is all deleted from initialization queue L with its adjacent eNB website within this time cycle, it is ensured that in this time cycle
Interior these adjacent will not all enter dormant state.After waiting for next time cycle, then the website of all non-suspend mode is counted again
Form new queue L.
(3) the load threshold wake-up value variable for defining one before being waken up to suspend mode website first, is expressed as ρon, by right
Time scale situation in one time cycle of website close to saturation operation carries out Cumulative probability statistics (time cycle and saturation
Load time ratio is needed to be higher than ρ by operator's sets itselfswitch).When the load for enlivening working terminal in region is in
Ascendant trend, and more than ρswitchWhen, if history contemporaneous data is also above ρswitch, then X2 interface can be utilized to notify
Suspend mode website wakes up.If history contemporaneous data is not above ρswitch, but real time load is more than ρ in subsequent timeon, equally
X2 interface notice suspend mode website can be utilized to wake up.
Claims (1)
1. the network energy-saving method based on website actual loading in a kind of long-term evolving network, using concentration during suspend mode
Formula method, using distributed flow during wake-up；The method includes following three steps：1) it is based on enode
The suspend mode website of BeNB history and real time load data is adjudicated in advance；2) based on system load, energy expenditure before and after eNB website suspend mode
Variation influences the suspend mode quickly estimated judgement；3) the real-time of situation of change is loaded according to adjacent sites after the suspend mode of eNB websites mutually to call out
It wakes up；To determine suspend mode website, wherein the first and second two step iteration carry out；
The step 1) is realized by the load situation of change of eNB websites：Load using central controller to all macro eNB websites
Total amount is ranked up, and directly acquires pre- suspend mode site list；To the pre- suspend mode website selected when real time load is in downward trend
When and load it is relatively low when be suitable for carry out suspend mode；Again by the real time load situation of pre- suspend mode website and history same period loading condition into
Row, which compares, finally determines pre- suspend mode website；
The step 2) can be switched fast estimation and determined by what is loaded to pre- suspend mode website：By perpendicular bisector method to research
The overlay area of each eNB websites is divided in region, and after eNB websites prepare suspend mode, further by vertical
Bisection method by suspend mode region it is seamless be allocated to adjacent eNB website；The loading condition of comprehensive each user, passes through website suspend mode
The ratio of load total amount loads handoff factor between defining eNB websites before load total amount in rear region and suspend mode, and parameter is fast according to this
Speed estimation website load；After pre- suspend mode eNB website suspend mode, in this period just by it with its adjacent eNB website all from initial
Change and is deleted in queue；
The step 3) is realized by a kind of mutual awakening method of distributed site：When the load of working terminal in region is in rising trend
When, if already exceed load switching threshold, while history contemporaneous data is also above threshold value, then mutually waking up the suspend mode station
Point；And re-define load threshold wake-up value.
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| CN112954707B (en) * | 2019-12-11 | 2022-09-16 | 中国电信股份有限公司 | Energy saving method and device for base station, base station and computer readable storage medium |
| CN113590205B (en) * | 2021-07-22 | 2024-01-19 | 北京经纬恒润科技股份有限公司 | Dormancy control method and device of SOC |
| CN114302485B (en) * | 2021-12-29 | 2024-03-29 | 深圳市佳贤通信科技股份有限公司 | Method for intelligently managing cell dormancy of indoor time division system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104080126A (en) * | 2014-07-04 | 2014-10-01 | 西安电子科技大学 | Cellular network energy saving method based on coordinated multipoint transmission |
| CN104301975A (en) * | 2014-11-06 | 2015-01-21 | 东南大学 | Multipoint coordinated transmission mode selection-based network energy saving method |
| CN104640185A (en) * | 2015-02-25 | 2015-05-20 | 东南大学 | Cell dormancy energy-saving method based on base station cooperation |
| CN104661241A (en) * | 2015-01-05 | 2015-05-27 | 中国科学院计算技术研究所 | Cell dormancy decision-making method, implementation method and system |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104080126A (en) * | 2014-07-04 | 2014-10-01 | 西安电子科技大学 | Cellular network energy saving method based on coordinated multipoint transmission |
| CN104301975A (en) * | 2014-11-06 | 2015-01-21 | 东南大学 | Multipoint coordinated transmission mode selection-based network energy saving method |
| CN104661241A (en) * | 2015-01-05 | 2015-05-27 | 中国科学院计算技术研究所 | Cell dormancy decision-making method, implementation method and system |
| CN104640185A (en) * | 2015-02-25 | 2015-05-20 | 东南大学 | Cell dormancy energy-saving method based on base station cooperation |
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