CN103619031A - Wireless network adaptive power control setting algorithm - Google Patents
Wireless network adaptive power control setting algorithm Download PDFInfo
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- CN103619031A CN103619031A CN201210553168.6A CN201210553168A CN103619031A CN 103619031 A CN103619031 A CN 103619031A CN 201210553168 A CN201210553168 A CN 201210553168A CN 103619031 A CN103619031 A CN 103619031A
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Abstract
The invention discloses a wireless network adaptive power control setting algorithm. Proceeding from demands of a wireless network, the wireless network adaptive power control setting algorithm can perfectly carry out power distribution and interference control in the wireless network according to corresponding relation between quality and level, to make the wireless network to run with high quality and low power dissipation in case of low interference, and to make the wireless network to have adaptive and self-healing capabilities to various interference. The wireless network adaptive power control setting algorithm has important significance in raising the quality of a network, saving energy and reducing emission.
Description
Technical field
The present invention is mainly used in wireless communication field, and communication standard is not limited.
Background technology
The quality of wireless network is relevant with many factors, has brought thus the complexity of network optimization work, and power control is in wireless network, to control the important means of disturbing, yet, how accurately to carry out power control and be but difficult to grasp.The present invention proposes and focusing on balance is the key that lifting network quality is evaluated, and is absorbed in to discuss and uses the power control of wireless network self adaptation that the rationally accurate allocating power of algorithm is set, and controls interference profile in net, reaches network quality peak value.
The power control of wireless network self adaptation arranges algorithm for promote a kind of parameter adaptive placement algorithm designing for quality of wireless network, can significantly promote wireless network property indices.
Summary of the invention
1、C/I
1.1, the most basic network quality index
The basic norm of evaluating quality of wireless network is C/I, the improvement of C/I can reduce the error rate, frame loss rate, improve voice quality, MOS perception etc., be the bottom index of radio network optimization, and other KPI indexs such as cutting off rate, handover success rate, wireless access are all the high level reactions in this performance of C/I.The emphasis of the network optimization is to optimize C/I as can be seen here, departs from this target, and it is all unpractical blindly pursuing high-rise KPI.
The key of 1.2, improving network quality and evaluating
Along with network Development is day by day complicated, various interference are also more and more, the means that most network optimization personnel solve interference in power configuration problem are that raising power is anti-interference, and high level high interference is so-called strong to force, counterviolence, this can cause the poor ratio of high level matter to raise, and whole net is of low quality, and owing to existing the imbalance of network quality to distribute, easily make terminal use produce the differentiation in perception, cause to complain and rise and satisfaction decline.From practical experience, learn, fair and just in handling matters is the method that reduces complaint and dissatisfaction.In the competition with rival, have the advantage, and to keep the same sex be everywhere no less important as far as possible in net.The network optimization is the art of a balance, and balance is the key of improving network quality and evaluating.
An example is discussed: drive test optimization here more.Because drive test performance assessment criteria more and more becomes the emphasis that each operator pays close attention to, therefore on optimizing, also just naturally can pour into more resource, to road coverage cell frequency use, high-power assurance C/I, promote all kinds of road test indexs.At first sight, such way effect is pretty good, can come to think of it, problem has been come, and drive test road accounts for whole area coverage less than 10%, user is not as good as 20%, and the strengthening of these regions C certainly will cause 90% region and 80% user's interference to be risen, by significantly reducing the C/I that just covers confined area originally, affect client perception, from reality, complain ratio and also can see, indoor complaint ratio accounts for the overwhelming majority.So whether this to think of universe network optimisation strategy be (indoor) still make no exception (road and indoor) of making something perfect even more perfect in (road)/make the matter worse.The strategy of obviously making no exception can better improve overall user perception, improves satisfaction, and this is the viewpoint of balance.
1.3, the relation of C/I and power
Improve the method for C/I with regard to two, improve C or reduce I, improve user awareness and can also use some new functions, improve the MOS performance in identical C/I situation, as AMR, frequency hopping etc.
The main method that improves C is bring to power, adjusts covering, optimizes neighbor cell configuration
The main method that reduces I is to reduce power, adjusts and covers, and optimization frequency, configuration, control external disturbance etc.
It seems that power adjustment be entangled with the most, is really into also Xiao He and loses also Xiao He, and increase power increased C has increased again I, when increasing single community antijamming capability, has increased global disturbs; When reducing power reduction I, also reduced C.
Here first have a look the formation of I, I is by white noise, external disturbance (all kinds of jamming equipment), and internal interference (frequency interferences and intermodulation distortion) forms.Visible we when Modulating Power major effect be internal interference.Fig. 1 has simulated the curve of a C/I vs Lev, sees accompanying drawing 1 explanation.
In Fig. 1, the average received level that transverse axis is the whole network, the longitudinal axis is the average C/I of the whole network, is mainly divided into 3 districts on figure, 1 point.Be described respectively below:
A district: belong to low power section herein, disturb mainly by the end make an uproar, external disturbance intensity determines.Therefore along with the lifting of level power, C/I rises very fast.
B district: along with the rising of level, the chief component of interference transfers interference in net to, the rising of level power, the C causing increases and I increase approaches, and C/I tends towards stability.
C district: the partial depth in network covers or the level intensity of wide overlay area cannot further promote, the lifting of the whole network level is the lifting contribution of part community, Dui Yige community covers, its master control area is much smaller than its confusion area, therefore can not the whole network bring to power in the situation that, gathering way of C can be slower than gathering way of I, cause the decline of C/I, and along with the increase of average level, power limited region also constantly increases, the increase of I is also more and more faster, and C/I presents acceleration and glides.Current most of network operates in C district (counterviolence's result) at present
P point: the power under certain network state and the optimal balance point of C/I, on this left side, because of underpower, carrier/interface ratio is not high, at this point, with the right side, disturbs the rising that gathers way, and carrier/interface ratio declines.
The response curve that just has different C/I vs lev for different networks; Same network is also different at traffic, the external disturbance response curve different in the situation that distributes; Covering adjustment, frequency optimization etc. is the important means of the network optimization, is also the main method of improving curve characteristic.Good curve characteristic, should have higher P Dian，Qie C district's downward trend more slow.After network characteristic (response curve) is determined, an important process content of optimization is exactly by reasonable disposition network power level, makes network quality run to optimum position (P point).
2, find the power control of network best operating point P-wireless network self adaptation algorithm is set
2.1, figure conversion
From the discussion of a upper joint, as everybody knows most of network operation in C district, be not the optimum operating area of network, network is placed in to P point and moves and could obtain best in quality.Is how to confirm P ordered so? first the adjustment of network power level mainly relies on maximum power level setting (can affect covering, traffic distribution etc., do not adopt in introducing below) and power control parameters setting (power control scope, power control is interval) to realize.From illustrated case, realizing the operation of network P point has following difficulty: 1, from existing GSM network statistics, lack the statistics to C/I, well design develop effect; 2, the statistics of power level is mean value, is interval value on arranging, and also more difficultly realizes coincideing of parameter setting and network response, and abscissa position is more difficult to be determined.
This need to think a flexible method, these two indexs is converted into easily and obtains, easily measure and the extremely strong index of correlation.In GSM network, being subject to the C/I the most direct index that has the greatest impact is quality, and the statistics of quality is also very easy to obtain.Here it is, and the power control of wireless network self adaptation arranges the algorithm first step, and Fig. 1 (figure of C/I vs lev) is converted to Fig. 2 (figure of aimed quality vs actual mass), sees accompanying drawing 2 explanations.
Fig. 2 transverse axis is aimed quality (from left to right, by well to bad), and vertical pivot is actual mass (from bottom to top, by well to bad).Upper figure is done and is explained:
A district: when aimed quality requirement is lower, level configuration is lower, and C/I is poor, still has power and quality room for promotion.
C district: when aimed quality is had relatively high expectations, level configuration raises, and the interference of generation increases, and causes C/I variation, and actual mass is worse than desired value, is to have too much of a good thing.
P line: the Best Point P of heterogeneous networks characteristic, can reach actual mass the best herein.In upper figure, show as aimed quality and realize uniform quality, slope is 1, pools P line.
By such figure, change, just problem reduction to take the optimizing process that quality is target, and statistic of attribute is very convenient, is convenient to realize adjust and the work of assessment.
2.2, approach the power control of P point-wireless network self adaptation algorithm is set
Completed after graphics, still needed the position of finding P to order, by putting into practice and studying, summed up a set of algorithm, it can sharply catch surrounding environment change, and self adaptation is adjusted wireless parameter, and network is placed in to Best Point P operation, reduces and disturbs, and improves network quality.
The first step that the power control of wireless network self adaptation arranges algorithm is the graphics that a upper trifle is mentioned, and second step is found P point exactly, and the method that employing infinitely approaches here, illustrates and figure is shown in description of drawings 3 parts.
Suppose that network primary objective quality settings is q1, the actual mass of network-feedback is q2; Then take q2 as aimed quality, network can feed back q3; With q3, draw q4 again ..., because the slope of P line is 1, so the feedback of network can progressively restrain, and network operation point just infinitely approaches P line like this, reaches network best in quality.In this process, got rid of the artificial conjecture to setting parameter, and entirely by network-feedback, determined that parameter arranges, formed adaptive process, that is to say network needs how many energy, will go to require to obtain, by this process, greatly improved the accuracy that wireless parameter arranges.
2.3, the power control of wireless network self adaptation arranges the parameter setting under algorithm
(1) preface
The dreamboat of the power control algorithm of GSM producer is that under the condition of quality permission, power is low as far as possible.This just need to go to find this quality and stabilization of level region.Can be the rule of thumb fixed a set of interval parameter of most of optimization personnel, is put into existing online operation, careful point may consider a minute scene setting power control parameters.Yet which type of arranges and could really meet the power demand change that multiple variablees such as being applicable to scene, planning, traffic, external disturbance causes?
(2) quality and level
The power control of wireless network self adaptation arranges the 3rd step of algorithm, and between the quality area of power control and level interval is as far as possible overlapping, power is tended towards stability, and reduce transmitting power as much as possible, reduces the interference of whole net.Do like this and just can make level and quality do reasonable conversion, because in GSM net, the setting parameter of quality is 0-7, level is set as-110～-47dBm, and obviously level setting is more meticulous.
The close benefit between quality area and level interval is can not cause the uncertain of power control direction because of both departing from.
Measurement report is collected in collection by traffic measurement data, carries out level quality two dimension and arranges, and completes the collection of environmental data, as shown in the following chart the situation of Wei Yige community.
Table 1
In form below the corresponding level grade of the numeral of grey color part, the sampled point ratio of the up credit rating of correspondence more than next stage level grade, all grey grid add up to 100.By the comprehensive analysis of quality and level, using the mass distribution index of network level as with reference to target, take and meet this target in level interval and power control interval is set as requirement, can determine easily stability region, realize the equivalence conversion of quality and level.
At upper table, can see, when level is strong, the poor accounting of matter is lower, and level weak time higher, the object of power control is in the situation of ensuring the quality of products, and reduces as far as possible transmitting power.The target setting of the result of network-feedback that parameter arranges rear generation for adjust next time, so just can further revise the accuracy of setting, makes the network operation in P point.
By measurement report, can very clearly understand interference profile situation, carry out accurate power distribution, have how many communities just to have how many scenes, realization is suited measures to local conditions.Meticulousr way, can carry out the setting of power control parameters according to the different periods, to adapt to traffic and the interference profile of different periods, accomplishes to grow with each passing hour.
It should be noted that when parameter arranges, take the mean value of network level or region class arranges as each community, so just can well complete isotropic balanced operation.In interference profile, the correlation of uplink and downlink is little in addition, need calculate respectively.
It will be to reduce to disturb that the power control of wireless network self adaptation arranges the effect that algorithm finally reaches, little power waste.The network operation is to P point position, and overall objective promotes.
2.4, the power control of wireless network self adaptation arranges algorithm in the application of 3G network
The power control of wireless network self adaptation arranges algorithm and implements more simple for CDMA or 3G network, only need restrain BLER, can obtain P point operational effect.Can, according to the BLER existing network statistical value of different business as target setting, after the self adaptation feedback of network, through 3-4 convergence, can reach optimal operational condition.
3, the power control of wireless network self adaptation arranges algorithm effect
The power control of wireless network self adaptation arranges algorithm from August, 2011, and the GSM network at many producers of a plurality of city equipment is used successively, has obtained good effect.Enumerate several examples below:
Table 2
General effect, suppressed to disturb in net, TCH/SDCCH is distributed into power, 0-5 level quality, cutting off rate, handover success rate etc. and is significantly improved, external disturbance to burst, there are very strong adaptability and self-healing ability, can adjust rapidly parameter configuration strategy, stabilizing network index, is chameleon worthy of the name.
4, sum up
In sum, it is a kind of algorithm that interference environment analysis Network Based and feedback are carried out parameter configuration adaptive optimization that the power control of wireless network self adaptation arranges algorithm, is applicable at present 2G and 3G network.From application practice, it is to support many producers that the power control of wireless network self adaptation arranges algorithm, adapts to the ripe general-purpose algorithm of many environment, to making an uproar, promote network quality at the bottom of reduction network, provides great power-assisted, and its operability is extremely strong in addition, and use should be widely promoted.
Claims (3)
1. by system self feed back, carry out the method for auto-adaptive parameter setting.
2. level and quality association are carried out to the interval method arranging of power control.
3. by inhibition, disturb and reduce the method that power consumption is carried out energy-saving and emission-reduction.
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Citations (4)
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| CN101277303A (en) * | 2008-05-16 | 2008-10-01 | 东南大学 | Control method for reliable controllable network architecture |
| CN101494482A (en) * | 2001-02-12 | 2009-07-29 | 高通股份有限公司 | Method and apparatus for power control in a wireless communication system |
| CN102026359A (en) * | 2010-12-31 | 2011-04-20 | 深圳市普联技术有限公司 | Automatic wireless transmitting power regulating method, system and AP (access point) as well as STA (station) |
| US20120014069A1 (en) * | 2010-07-15 | 2012-01-19 | Jian-Hong Zeng | Power module |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101494482A (en) * | 2001-02-12 | 2009-07-29 | 高通股份有限公司 | Method and apparatus for power control in a wireless communication system |
| CN101277303A (en) * | 2008-05-16 | 2008-10-01 | 东南大学 | Control method for reliable controllable network architecture |
| US20120014069A1 (en) * | 2010-07-15 | 2012-01-19 | Jian-Hong Zeng | Power module |
| CN102026359A (en) * | 2010-12-31 | 2011-04-20 | 深圳市普联技术有限公司 | Automatic wireless transmitting power regulating method, system and AP (access point) as well as STA (station) |
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Application publication date: 20140305 |