CN106686634A - Base station business energy consumption relationship testing method - Google Patents

Base station business energy consumption relationship testing method Download PDF

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Publication number
CN106686634A
CN106686634A CN201710164316.8A CN201710164316A CN106686634A CN 106686634 A CN106686634 A CN 106686634A CN 201710164316 A CN201710164316 A CN 201710164316A CN 106686634 A CN106686634 A CN 106686634A
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China
Prior art keywords
base station
data
power
energy consumption
business
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CN201710164316.8A
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Chinese (zh)
Inventor
董宏成
杨耀
罗瑶
杨晏川
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CHONGQING XINKE DESIGN Co Ltd
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CHONGQING XINKE DESIGN Co Ltd
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Priority to CN201710164316.8A priority Critical patent/CN106686634A/en
Publication of CN106686634A publication Critical patent/CN106686634A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a base station business energy consumption relationship testing method. Against the backdrop of the rapid development of the internet, a user's business is not confined to ordinary voice business. Therefore, the diversity of internet businesses becomes the issue faced by the mobile operators. However, much of the currently available research does not analyze the relationship between the different businesses and the base station power energy consumption clearly. The invention focuses on the research on the relationship of the two, and proposes an analyzing model and a testing method. Through the data analysis of some special business and the quantitative estimation as well as the corresponding power energy consumption condition, it is possible to better manage the power consumption of different businesses in a more targeted manner and to realize the control of energy conservation, which plays a significant role in reducing resource waste and implementing energy conservation strategies afterwards.

Description

A kind of method of testing of BTS service energy consumption relation
Technical field
The invention belongs to wireless communication technology field, more particularly to a kind of test side of new BTS service energy consumption relation Method.
Background technology
For now, the development with society and the made rapid progress of electronic technology, increasing user starts to make Data traffic transmission is carried out with intelligent mobile terminal.Can see everywhere in bus stop, subway people with mobile phone browse webpage, Internet chat.Business in wireless network also becomes based on data traffic transmission.Report from Cisco System Co. shows entirely The transmission of the mobile data services of ball will reach 2.5 Chinese mugwort bytes monthly in the end of the year 2014, and this data will also only be in the end of the year 2013 Be 1.5 Chinese mugwort bytes monthly, a trend can be drawn from data, i.e., not only existing data business volume is huge in wireless network And its growth rate is very fast.
The development of mobile communication and widely using for network, also great changes have taken place for demand of the user to business, works as reach The demand of dynamic data service presents the growth of explosion type, and for base station, the transmitting energy consumption of itself is to account for a very big ratio Example, existing measure is to perceive angle from user mostly, and ignores the power consumption of network side.Traditional base station energy consumption model is not Consider the relation of service characteristics and base station resource, existing operational analysis also less consider energy consumption problem.Set forth herein A kind of improved model and method of testing, by LTE base station energy consumption and customer service corresponding relation analysis is set up.It is proposed for base station One business and energy consumption analysis strategy, can calculate the energy consumption size of the various Internet services of similar QQ etc., can be with apparent The different scene of analysis and customer service in the case of data use and energy consumption.
The content of the invention
In view of this, it is an object of the invention to provide a kind of method of testing of new BTS service energy consumption relation, comes more preferable Aimed management different business power consumption and the control of an energy-conservation is realized to base station.
The present invention solves above-mentioned technical problem by following technological means:
In order to solve the problems, such as traditional energy consumption model, set forth herein a kind of improvement strategy, as shown in Figure 1.
Esource impact:The characteristic of business is split to into signaling and the aspect of flow two, then it is corresponding with the resource of physical layer.
Energy consumption maps:Make the Resource Block flow to draw business corresponding with the increment of base station and the aspect power consumption of baseline two The impact of size and load to the power consumption of base station.
The corresponding relation process of model is further decomposed, and has 4 important steps, as shown in Figure 2.
The first step:Set up the power dissipation of a base station and the relation of utilization rate.Surveyed in some landform and scene, The relation of input/output power is obtained, by resource and the corresponding relation of consume, the power consumption of its base station is determined.
Second step:Set up the corresponding relation of user face data and resource utilization.The base station of different location is surveyed, Obtain the average throughput of user plane, then maximum throughput when deriving that utilization rate is 100%.
3rd step:Analysis different physical channels corresponding resource size in chain of command.It is determined that the data and letter of transmission The quantity of the shared Resource Block of order, the distribution of baseline power consumption is calculated with this.
4th step:Analysis business datum resource block size within the physical layer and time.Test is on different physical channels Message transmission rate, signaling service condition of business etc., determine its traffic performance.
It is determined that after analysis model, the modeling approach according to more than is divided into following 4 steps and obtains related data, and The observable index that calculating business datum, signaling are produced in base station.
Step 1:The configuration of a base station information and base station Pin-Pout curve linear relationships to the distributed macro base stations of TD-LTE Investigation;
Step 2:Existing network PRB utilization rates and measurement of handling up, the up-downgoing PRB utilization rates and user for investigating existing network base station is put down Face PDCHSDU data volumes;
Step 3:The calculating of physical channel resources number (RE);
Step 4:Business takes Internet resources test, using analytical tool, to number of the different business in TD-LTE existing networks According to, signaling test;
Beneficial effects of the present invention:LTE base station energy consumption and customer service are set up into corresponding relation analysis.It is proposed for base station A business and energy consumption analysis strategy, the energy consumption size of the various Internet services of similar wechat etc., Ke Yigeng can be calculated Clearly analyze different scene and the data in the case of customer service are used and energy consumption.Further to these particular fields The business datum and signaling of scape is analyzed and corresponding energy consumption does a quantitative assessment.This can be later section Energy scheme provides preferably strategy, and the power consumption of diversified business is more targetedly analyzed and managed.
Description of the drawings
Fig. 1 is quadratic linear mapping model figure;
Fig. 2 is business energy consumption modeling decomposition step figure;
Fig. 3 is the concrete structure diagram of centralized base station Test Networking in LTE base station;
Fig. 4 is the concrete structure diagram of distributed base station Test Networking in LTE base station.
Specific embodiment
Below with reference to accompanying drawing, the present invention is described in detail:
Step 1:Set up the power dissipation of a base station and the relation of utilization rate.Surveyed in some landform and scene, The relation of input/output power is obtained, by resource and the corresponding relation of consume, the power consumption of its base station is determined.
Base station main equipment is dimerous by baseband processing unit and radio frequency remoto module, from the point of view of power consumption angle, Baseband processing unit power consumption can be regarded as a definite value, varying less with load;Power amplifier is only in downlink transfer In normal operating conditions and power amplifier power consumption can account for radio frequency remoto module power consumption more than half.
RRU increment Calculation Method of Energy Consumption:
Wherein, EDL.data_increRepresent the increment power consumption that RRU downlink datas are produced;pin_maxRepresent RRU maximum power dissipations; pin_baseRepresent RRU baseline power consumptions;Tmax_DL.dataT () represents the descending maximum throughput of cell PDCP layer;TOTT_DL.dataT () represents Tested business PDCP layer downlink data flow;DOTT_DL.dataT () represents the tested business datum persistent period;EDL.sig_increRepresent The increment power consumption that RRU downlink signalings are produced;RDL.dataRepresent RE numbers shared by downlink data;RDL.sigRepresent RE shared by downlink signaling Number;ROTT_DL.sigT () represents that RE shared by tested business control channel is total;DOTT_DL.sigWhen () represents that tested traffic signaling continues t Between.
RRU baseline Calculation Method of Energy Consumption:
RRU baseline power consumptions are distributed to into by a certain percentage all up-downgoing data, signaling, it is assumed that be not directly relevant to business Fixed signaling consumption energy consumption accounting be Umax.
Wherein, the allocation proportion of data, signaling in baseline power consumption is calculated as follows:
Wherein, EDL.data_baseRepresent the baseline power consumption that RRU downlink datas are produced;ρdataRepresent up-downgoing data upper and lower Row total resources accounting;Tmax_UL.dataT () represents the up maximum throughput of cell PDCP layer;EDL.sig_baseRepresent RRU downlink signalings The baseline power consumption of generation;ρDL.sigRepresent downlink signaling in up-downgoing total resources accounting;EUL.data_baseRepresent that RRU upstream datas are produced Raw baseline power consumption;TOTT_UL.dataT () represents tested business PDCP layer upstream data flow;DOTT_UL.dataT () represents tested industry Business data duration;PDSCH represents RE numbers shared by PDSCH physical channels;UL_RE represents up all RE resources summations;DL_ RE represents descending all RE resources summations;PDCCH represents RE numbers shared by PDCCH physical channels.
Step 2:Set up the corresponding relation of user face data and resource utilization.The base station of different location is surveyed, Obtain the average throughput of user plane, then maximum throughput when deriving that utilization rate is 100%.Existing network PRB utilization rates with gulp down Measurement is told, the up-downgoing PRB utilization rates and user plane PDCHSDU data volumes of existing network base station is investigated.
The station shape parameter of LTE base station is S1/1/1;When idle load, not only tested using different transmission powers Method load mode, at this moment PRB descending specified loading power is 10%, while also using the loading number accounting of PRB, to equipment The method load mode tested of energy consumption, specified loading power at this moment is similarly 10%;When moderate duty, together Sample has used two kinds of load modes, and PRB descending specified loading power is 10% in the case of using second loading method, It is 40% in the case of using the first loading method;When busy hour load, two kinds of load modes are employed, used It is 70% in the case of second loading method, in the case of using the first loading method 70% is similarly;In full load When, two kinds of load modes are equally employed, it is 100% in the case of using second loading method, using first 100% is similarly in the case of planting loading method.
In the test of this time, the input test point of equipment is primarily used to detect corresponding energy consumption, and exports test point Also it is used for detecting corresponding energy consumption.Specific structure is as shown in Figure 3.
BBU input power test points are primarily used to test the energy consumption of corresponding point, and in the device it is arranged on BBU inputs Power supply place;And RRU input power test points are primarily used to test the energy consumption of corresponding point, in the device it is arranged on RRU Input power place, specific structure is as shown in Figure 4.
During the energy efficiency of equipment to LTE base station is calculated, following computational methods are mainly employed, be always divided into It is specific as follows for three steps:
The first step of calculating:
What Pi was specifically represented is the Mean Input Power of LTE base station equipment in formula, and what Pii was specifically represented is LTE base station The idle input power of equipment, what ti was specifically represented is the idle load duration of LTE base station equipment, and that Pim is specifically represented is LTE The medium input power of base station equipment, what tm was specifically represented is the moderate duty duration of LTE base station equipment, what Pib was specifically represented It is the busy input power of LTE base station equipment, what tb was specifically represented is the busy hour load duration of LTE base station equipment.
The second step of calculating:
What P0 was specifically represented is the average output power of LTE base station equipment in second computing formula, what Poi was specifically represented It is the idle output of LTE base station equipment, what Pom was specifically represented is the medium output power of LTE base station equipment, and Pob is concrete What is represented is the busy output of LTE base station equipment.
The 3rd step for calculating:
What E was specifically represented is the efficiency of LTE base station in 3rd computing formula.
Step 3:Analysis different physical channels corresponding resource size in chain of command.It is determined that the data and signaling of transmission The quantity of shared Resource Block, the distribution of baseline power consumption is calculated with this.
The calculating of physical channel resources number (RE):
Up all resource summations:
DL_RE=CRS+PSS+SSS+PBCH+PCFICH+PHICH+PDCCH+PDSCH
Descending all resource summations:
UL_RE=PRACH+DMRS+SRS+PUCCH+PUSCH
Up-downgoing data are in up-downgoing total resources accounting:
ρdata=(PDSCH+UL_RE)/(DL_RE+UL_RE)
Downlink signaling is in up-downgoing total resources accounting:
ρDL.sig=PDCCH/ (DL_RE+UL_RE)
Step 4:Analysis business datum resource block size within the physical layer and time.Test industry on different physical channels Message transmission rate, signaling service condition of business etc., determine its traffic performance.
Using Pilot Pioneer wireless networks testing tools under certain base station, complete various using computer, mobile terminal Data, signaling test of the business in TD-LTE existing networks, and the data traffic of statistical service channel, the RE numbers of control channel and hold The continuous time.The using method of testing tool can check software operating instruction.
Above example is only unrestricted to illustrate technical scheme, although with reference to preferred embodiment to this It is bright to be described in detail, it will be understood by those within the art that, technical scheme can be modified Or equivalent, without deviating from the objective and scope of technical solution of the present invention, it all should cover the claim in the present invention In the middle of scope.

Claims (4)

1. a kind of method of testing of BTS service energy consumption relation, its feature is comprised the following steps:
The first step:The power dissipation of a base station and the mapping relations of Physical Resource Block are set up, is carried out in some landform and scene Actual measurement, obtains the relation of input/output power, by resource and the corresponding relation of consume, it is determined that corresponding per Physical Resource Block Base station power consumption;
Second step:The corresponding relation of user face data and resource utilization is set up, the base station of different location is surveyed, obtained The average throughput of user plane, then maximum throughput when deriving that utilization rate is 100%;
3rd step:Different physical channels are analyzed in the corresponding resource size of chain of command, it is determined that shared by the data and signaling of transmission Resource Block quantity, the distribution of baseline power consumption is calculated with this;
4th step:Analysis business datum resource block size within the physical layer and time, test the business on different physical channels Message transmission rate, signaling service condition, determine its traffic performance.
2. a kind of method of testing of BTS service energy consumption relation according to claim 1, it is characterised in that the first step Specially:
Base station main equipment is dimerous by baseband processing unit and radio frequency remoto module, from the point of view of power consumption angle, base band Processing unit power consumption can be regarded as a definite value, varying less with load;Power amplifier is only in downlink transfer The power consumption of normal operating conditions and power amplifier can account for more than half of radio frequency remoto module power consumption,
RRU increment Calculation Method of Energy Consumption:
Wherein, EDL.data_increRepresent the increment power consumption that RRU downlink datas are produced;pin_maxRepresent RRU maximum power dissipations;pin_baseTable Show RRU baseline power consumptions;Tmax_DL.dataT () represents the descending maximum throughput of cell PDCP layer;TOTT_DL.dataT () represents tested industry Business PDCP layer downlink data flows;DOTT_DL.dataT () represents the tested business datum persistent period;EDL.sig_increRepresent that RRU is descending The increment power consumption that signaling is produced;RDL.dataRepresent RE numbers shared by downlink data;RDL.sigRepresent RE numbers shared by downlink signaling; ROTT_DL.sigT () represents that RE shared by tested business control channel is total;DOTT_DL.sigT () represents the tested traffic signaling persistent period;
RRU baseline Calculation Method of Energy Consumption:
RRU baseline power consumptions are distributed to into by a certain percentage all up-downgoing data, signaling, it is assumed that with consolidating that business is not directly relevant to Signaling consumption energy consumption accounting is determined for Umax;
E U L . d a t a _ b a s e = ρ d a t a P i n _ b a s e [ T max _ D L . d a t a ( t ) + T max _ U L . d a t a ( t ) ] ( 1 - U max ) T O T T _ U L . d a t a ( t ) D O T T _ U L . d a t a ( t )
Wherein, the allocation proportion of data, signaling in baseline power consumption is calculated as follows:
Wherein, EDL.data_baseRepresent the baseline power consumption that RRU downlink datas are produced;ρdataRepresent that up-downgoing data are always provided in up-downgoing Source accounting;Tmax_UL.dataT () represents the up maximum throughput of cell PDCP layer;EDL.sig_baseRepresent what RRU downlink signalings were produced Baseline power consumption;ρDL.sigRepresent downlink signaling in up-downgoing total resources accounting;EUL.data_baseRepresent the base that RRU upstream datas are produced Line power consumption;TOTT_UL.dataT () represents tested business PDCP layer upstream data flow;DOTT_UL.dataT () represents tested business datum Persistent period;PDSCH represents RE numbers shared by PDSCH physical channels;UL_RE represents up all RE resources summations;DL_RE is represented Descending all RE resources summations;PDCCH represents RE numbers shared by PDCCH physical channels.
3. a kind of method of testing of BTS service energy consumption relation according to claim 1, it is characterised in that the second step Specially:
During the energy efficiency of equipment to LTE base station is calculated, following computational methods are mainly employed, be always divided into three Step, it is specific as follows:
(1)
What Pi was specifically represented is the Mean Input Power of LTE base station equipment in formula, and what Pii was specifically represented is LTE base station equipment Idle input power, what ti was specifically represented is the idle load duration of LTE base station equipment, and what Pim was specifically represented is LTE base station The medium input power of equipment, what tm was specifically represented is the moderate duty duration of LTE base station equipment, and that Pib is specifically represented is LTE The busy input power of base station equipment, what tb was specifically represented is the busy hour load duration of LTE base station equipment;
(2)
P in above formula0What is specifically represented is the average output power of LTE base station equipment, and what Poi was specifically represented is LTE base station equipment Idle output, what Pom was specifically represented is the medium output power of LTE base station equipment, and what Pob was specifically represented is LTE bases The busy output of station equipment;
(3)
What E was specifically represented is the efficiency of LTE base station in above formula.
4. the method for testing of a kind of BTS service energy consumption relation according to claim 1, wherein, the 3rd step is concrete For:
The calculating of physical channel resources number (RE):
Up all resource summations:
DL_RE=CRS+PSS+SSS+PBCH+PCFICH+PHICH+PDCCH+PDSCH
Descending all resource summations:
UL_RE=PRACH+DMRS+SRS+PUCCH+PUSCH
Up-downgoing data are in up-downgoing total resources accounting:
ρdata=(PDSCH+UL_RE)/(DL_RE+UL_RE)
Downlink signaling is in up-downgoing total resources accounting:
ρDL.sig=PDCCH/ (DL_RE+UL_RE).
CN201710164316.8A 2017-03-20 2017-03-20 Base station business energy consumption relationship testing method Pending CN106686634A (en)

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CN107426763A (en) * 2017-06-13 2017-12-01 中国传媒大学 Application program consumes the appraisal procedure and system of mobile base station energy
CN112367679A (en) * 2020-11-27 2021-02-12 中国联合网络通信集团有限公司 Method and device for evaluating number of accessible users
WO2022043733A1 (en) * 2020-08-25 2022-03-03 Telefonaktiebolaget Lm Ericsson (Publ) Estimating power saved in a network

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107426763A (en) * 2017-06-13 2017-12-01 中国传媒大学 Application program consumes the appraisal procedure and system of mobile base station energy
CN107426763B (en) * 2017-06-13 2019-11-22 中国传媒大学 The appraisal procedure and system of application program consumption mobile base station energy
WO2022043733A1 (en) * 2020-08-25 2022-03-03 Telefonaktiebolaget Lm Ericsson (Publ) Estimating power saved in a network
CN112367679A (en) * 2020-11-27 2021-02-12 中国联合网络通信集团有限公司 Method and device for evaluating number of accessible users
CN112367679B (en) * 2020-11-27 2023-05-26 中国联合网络通信集团有限公司 Method and device for evaluating number of accessible users

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Application publication date: 20170517