CN101374001A - Method for self-adapting regulation of beam-forming right value update graininess - Google Patents

Method for self-adapting regulation of beam-forming right value update graininess Download PDF

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Publication number
CN101374001A
CN101374001A CNA2007101404996A CN200710140499A CN101374001A CN 101374001 A CN101374001 A CN 101374001A CN A2007101404996 A CNA2007101404996 A CN A2007101404996A CN 200710140499 A CN200710140499 A CN 200710140499A CN 101374001 A CN101374001 A CN 101374001A
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wave beam
graininess
value update
forms
right value
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CN101374001B (en
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姜静
王衍文
支周
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ZTE Corp
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ZTE Corp
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Abstract

The invention discloses a method for self-adaptive regulation of beam forming weight update granularity, which aims to solve the problem that one update granularity cannot satisfy the requirements of user equipment for high-speed movement. The method comprises the steps of setting an initial value of beam forming weight update granularity according to the speed of user equipment, and performing self-adaptive regulation of the beam forming weight update granularity according to the channel change speed. The inventive method can be used in a mobile communication system to carry out self-adaptive regulation of the beam forming weight update granularity according to the channel change speed.

Description

A kind of self adaptation is adjusted the method that wave beam forms right value update graininess
Technical field
The present invention relates to mobile communication system, relate in particular to a kind of adaptive beam and form the method for designing of adjusting right value update graininess.
Background technology
Wave beam forms can increase the sub-district covering, improves the link performance of Cell Edge User, but and the interference eliminated of implementation space, increase power system capacity.Wave beam forms the weights that generate wave beam forming according to channel status, and whether the weights that the pairing wave beam of time forms can reflect the feature of channel, will influence the performance that wave beam forms greatly.
Present wave beam forms and adopts same running time-frequency resource granularity to handle, but because the maximum translational speed of later mobile communication (B3G) of the third generation and the 4th third-generation mobile communication (4G) support is greater than 350km/h, in this case, adopt a right value update graininess, make wave beam formation weights not possess follow-up control to channel variation, therefore also just can't satisfy the requirement of subscriber equipment (User Equipment is called for short UE) high-speed mobile.
Summary of the invention
Technical problem to be solved by this invention is to be to provide a kind of self adaptation to adjust the method for designing that wave beam forms right value update graininess, solves and adopts to upgrade the problem that granularity can't satisfy the requirement of UE high-speed mobile.
In order to solve the problems of the technologies described above, the invention provides a kind of self adaptation and adjust the method that wave beam forms right value update graininess, form the initial value of right value update graininess according to the speed setting wave beam of subscriber equipment, adjust wave beam according to the pace of change self adaptation of channel afterwards and form right value update graininess.
In the said method, the described initial value that forms right value update graininess according to the speed setting wave beam of subscriber equipment, can be at first the speed of described subscriber equipment be divided into several grades, and then set the grade that wave beam forms right value update graininess according to the speed class of described subscriber equipment, set the initial value that described wave beam forms right value update graininess at last again.
Further, described speed setting wave beam according to subscriber equipment forms the initial value of right value update graininess, can comprise the steps:
(1) speed with described subscriber equipment is divided into several grades;
(2) determine coherence time according to the speed class of described subscriber equipment, and select all square time delay, determine coherence bandwidth according to the speed class of described subscriber equipment;
(3) according to described coherence time and described coherence bandwidth, set the grade that wave beam forms right value update graininess, comprise the time width and the band width of time.
(4), set the initial value that described wave beam forms right value update graininess according to the speed of described subscriber equipment.
Further, determine the step of coherence time described in the step (2), can comprise at first and determine maximum doppler frequency, determine described coherence time according to described maximum doppler frequency then according to the current speed class of described subscriber equipment; The time width of time can be less than described coherence time described in the step (3), and the band width of described time can be less than described coherence bandwidth; Described step (3) comprises and can form right value update graininess according to described wave beam, generates the wave beam formation weights that the corresponding wave beam of institute forms Resource Block.
In the said method, described pace of change self adaptation according to channel is adjusted wave beam and is formed right value update graininess, when the pace of change that can comprise described channel is lower than the Adaptive Modulation thresholding of setting, adjusts modulation scheme; When the pace of change of described channel is lower than the right value update thresholding of setting, can recomputate the weights that wave beam forms.
Further, described adjustment modulation scheme can comprise that the modulation constellation number with data flow reduces; The pace of change of described channel can characterize by the channel status indication.Further, the least unit of described self adaptation adjustment wave beam formation right value update graininess can equal the minimum running time-frequency resource granularity of physical layer.
In the said method, adjust wave beam according to the pace of change self adaptation of described channel and form weights, can comprise:
(a) if the pace of change of the channel of described subscriber equipment feedback is lower than the right value update thresholding of setting, execution in step (c) then, otherwise execution in step (b);
(b) primary beam forms the weights continuation and forms the time use at pairing wave beam, forms Resource Block renewal wave beam to next wave beam and forms weights, end;
(c) calculate and upgrade the wave beam formation weights of Resource Block according to channel information, and, finish at the weights that the part use of Resource Block remainder is upgraded.
Said method may further include, and inserts the pilot tone of fixed qty in the Resource Block of described wave beam formation right value update graininess correspondence.
The present invention can adjust the right value update graininess that wave beam forms adaptively according to channel variation speed, can guarantee systematic function on the basis that does not reduce wave beam formation performance.And the present invention also can to form pilot design interrelated with wave beam, further makes the channel information of Resource Block and real channel information keep unified, guarantees sane systematic function reliably.
Description of drawings
Fig. 1 is the system configuration schematic diagram that the adaptive beam of the method for the invention correspondence forms Resource Block;
Fig. 2 is the step schematic diagram of a specific embodiment of the inventive method.
Embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
Be the performance that guarantees that wave beam forms, wave beam formation weights should possess the follow-up control to channel variation, especially when fast change of channel be that channel is when becoming soon, should adopt little right value update graininess, such as in OFDM (OFDM) system, the OFDM symbol numbers and the sub-carrier number of Resource Block diminish, and the right value update of wave beam formation is very fast like this, can not reduce the performance that wave beam forms because of the fast change of channel; When channel becomes slowly, should adopt big right value update graininess, can when reducing feedback overhead and handling complexity, guarantee systematic function.
The speed of channel variation is closely related with the movement velocity of UE, therefore thinking of the present invention is with the movement velocity of the UE initial decision thresholding as the channel variation speed, by calculating coherence time and the coherence bandwidth under the given speed, the design wave beam forms right value update graininess.Then, adjust the size that wave beam forms Resource Block adaptively according to current concrete channel variation speed.
In the pace of change of channel, UE speed is an influencing factor, but also has other influencing factor, as the quick variation of scattering thing around the UE, and extraneous interference signal, the inefficacy of BS or UE antenna etc. also can cause the variation of channel.These factors are difficult to characterize with a concrete physical parameter, therefore in the present invention, adopt channel status indication (Channel Quality Indicator is called for short CQI) to form the evaluation criterion of weights as wave beam.Be lower than the Adaptive Modulation thresholding of setting as the CQI of certain data flow, be designated hereinafter simply as thresholding 1, just the modulation constellation number with this data flow reduces, be lower than the right value update thresholding of setting at CQI, be designated hereinafter simply as thresholding 2 (thresholding 2 that sets is greater than the thresholding 1 that sets), just recomputate the weights that wave beam forms, and upgrade Resource Block, thereby the weights that wave beam is formed are consistent with the characteristic of channel all the time, have guaranteed the sane performance of system.Because the feedback granularity of CQI often forms the granularity of Resource Block less than wave beam, when having realized being lower than the thresholding 2 of setting, wave beam forms the self adaptation adjustment of right value update, and the least unit of adjustment equals the minimum running time-frequency resource granularity of physical layer.
Fig. 1 shows the system configuration that adaptive beam of the present invention forms Resource Block, adjusts the principle schematic that wave beam forms right value update graininess according to the speed of subscriber equipment 101 and the CQI of subscriber equipment 101 feedbacks.Wherein, come the initial setting wave beam to form the granularity of right value update according to the speed of subscriber equipment 101, the CQI that feeds back according to subscriber equipment 101 comes self adaptation to adjust the resource block size that wave beam forms the weights correspondence.
With reference to Fig. 1, at first, the wave beam of base station forms right value update judging module 105 and calculates coherence time according to the speedometer of subscriber equipment 101, and choose all square time delay, calculate coherence bandwidth, according to coherence time and coherence bandwidth, set the time width and the band width of right value update time again, so just obtained the initial value of wave beam formation right value update graininess.After obtaining wave beam formation right value update graininess, form weights generation module 104, produce wave beam and form weights, pass through OFDM modulation module 106 at last and modulate and emission by wave beam formation power control module 103 and wave beam.When the CQI of subscriber equipment 101 feedbacks is lower than the thresholding 1 of setting, Adaptive Modulation module 102 is adjusted the modulation scheme of Resource Block, when the CQI of subscriber equipment 101 feedbacks was lower than the thresholding 2 of setting, wave beam formed right value update judging module 105 and requires wave beam to form the weights that weights generation module 104 recomputates wave beam formation.
According to the communication quality requirement of subscriber equipment 101, the speed of subscriber equipment 101 can be divided into several grades.If the communication quality of subscriber equipment 101 is had relatively high expectations, then the grade that subscriber equipment 101 speed are divided is many more, i.e. the grain size category of weights adjustment is many more, helps the assurance of communication quality so more, but the processing expenditure that wave beam forms also increases relatively.
Then, according to the movement velocity of subscriber equipment 101, carrier frequency calculates coherence time; All square time delay according under the corresponding scene calculates coherence bandwidth.Wherein, all the scene at the value of square time delay and user place is closely related, all square time delay difference under the different scenes.Can choose all square time delay according to the representative scene of subscriber equipment 101 translational speeds, calculate coherence bandwidth.
At last,, set the time width and the band width of right value update, the characteristic of channel of this time is remained unchanged substantially according to coherence time and coherence bandwidth.So just obtained the initial value of wave beam formation right value update graininess.
Carry out in the self adaptation adjustment member according to channel variation speed, when the pace of change of channel is lower than the thresholding 1 of setting, the modulation constellation number of this data flow is reduced, when the pace of change of channel is lower than the thresholding 2 of setting, recomputate the weights that wave beam forms, and the renewal Resource Block, thereby the renewal that makes wave beam form weights is consistent with the maintenance characteristic of channel all the time, has guaranteed the sane performance of system.
Speed class feedback according to subscriber equipment 101 is set right value update graininess, and subscriber equipment 101 carries out the initial feedback of speed class when inserting, determine the resource block size that wave beam forms; In subscriber equipment 101 and the base station connection process, subscriber equipment 101 judges periodically whether the speed of oneself runs off initial speed class, if run off, then to the new speed class of base station feedback, the base station is adjusted the resource block size that wave beam forms in view of the above.
Below in conjunction with Fig. 2, specify and how UE speed is carried out classification, and how to calculate correlation time and correlation bandwidth and obtain the initial value that wave beam forms right value update graininess, and, illustrate in greater detail the present invention with the pace of change that CQI characterizes channel.
Step 201 is carried out classification to UE speed, can be according to the communication quality requirement, the translational speed of UE is divided into some grades.Suppose that the speed with UE falls into three classes: represent 0～5km/h of walking and stationary user situation, represent 5～70km/h of vulgar automobile scenarios, and the 70～350km/h that represents the high speed automobile scenarios.Certainly, this grade classification is an example, in the middle of other embodiment of the present invention, also can adopt other standards to divide.
Step 202 is calculated T coherence time c, at first according to UE current movement speed rating calculation maximum doppler frequency, as the formula (1):
f m=vf c/ c formula (1)
Wherein:
f mBe maximum doppler frequency, unit is Hz;
V is the movement velocity of UE;
f cBe carrier frequency;
C is the light velocity.
Obtaining f mAfter, can be according to calculating T coherence time as shown in the formula (2) c, this definition coherence bandwidth be that envelope correlation coefficient is 0.5, promptly ρ (0, T c, 0)=0.5
T c = 9 16 π f m Formula (2)
Step 203 is calculated coherence bandwidth B c, shown in the formula (3) of the face that is calculated as follows of coherence bandwidth, defining coherence bandwidth at this is that envelope correlation coefficient is 0.5, i.e. ρ (B c, 0,0)=0.5
B c = 1 2 π σ τ Formula (2)
Wherein:
σ τBe equal square time delays.
Step 204 is set the grade of the right value update graininess that wave beam forms, and the time width that makes time is less than the coherence time that obtains, and band width is less than the coherence bandwidth that obtains, thereby the characteristic of channel of this time is remained unchanged substantially.The grade of wave beam formation right value update graininess is as shown in table 1:
Table 1 wave beam forms the grade of right value update graininess
UE speed V V≤5km/h 5km/h<V≤70km/h 70km/h<V≤350km/h
Coherence time T c 15.4ms 1.1ms 0.21ms
Coherence bandwidth B c 2.2MHz 1.345MHz 0.936MHz
The precoding density of determining Upgrade at interval: 5ms frequency domain granularity: 120 subcarriers Upgrade at interval: 1ms frequency domain granularity: 80 subcarriers Upgrade at interval: 0.25ms frequency domain granularity: 60 subcarriers
Step 205, the wave beam that generates this Resource Block forms weights, according to current UE speed, sets the initial value of right value update graininess, generates this Resource Block wave beam and forms weights, is applied to this time.
Step 206, the CQI that feeds back according to UE judges whether to want refreshing weight, and the CQI according to the UE feedback when it is lower than the thresholding 1 of setting, adjusts its modulation scheme, when CQI is lower than the thresholding 2 of setting, execution in step 208, otherwise execution in step 207.
Step 207 judges whether corresponding Resource Block has been finished wave beam and formed, and primary beam formation weights continue to form time at pairing wave beam to be used, and upgrades wave beam to next wave beam formation Resource Block and forms weights, finishes.
Step 208, calculate and upgrade the wave beam formation weights of Resource Block according to channel information, and upgrade the information of Resource Block, use the weights that upgrade in the part of Resource Block remainder, set point when resource block size inserts according to UE or the adjusted value in the subsequent process finish.
Self adaptation of the present invention is adjusted wave beam and is formed right value update graininess, can also to form pilot design interrelated with wave beam, insert the pilot tone of fixed qty in the Resource Block of promptly corresponding renewal granularity, the method of inserting is also fixing, and different beams forms the pilot tone that the Resource Block that upgrades granularity comprises different proportion like this.When channel becomes slowly, adopt low-density pilot tone just can guarantee the quality of channel estimating; When channel becomes soon, adopt highdensity pilot tone to guarantee the quality of channel estimating, further make the channel information of Resource Block and real channel information keep unified, guarantee sane systematic function reliably.

Claims (12)

1. a self adaptation is adjusted the method that wave beam forms right value update graininess, it is characterized in that, forms the initial value of right value update graininess according to the speed setting wave beam of subscriber equipment, adjusts wave beam according to the pace of change self adaptation of channel afterwards and forms right value update graininess.
2. the method for claim 1, it is characterized in that, the described initial value that forms right value update graininess according to the speed setting wave beam of subscriber equipment, at first the speed with described subscriber equipment is divided into several grades, set the grade that wave beam forms right value update graininess according to the speed class of described subscriber equipment then, set the initial value that described wave beam forms right value update graininess again.
3. method as claimed in claim 2 is characterized in that, described speed setting wave beam according to subscriber equipment forms the initial value of right value update graininess, comprising:
(1) speed with described subscriber equipment is divided into several grades;
(2) determine coherence time according to the speed class of described subscriber equipment, and select all square time delay, determine coherence bandwidth according to the speed class of described subscriber equipment;
(3) according to described coherence time and described coherence bandwidth, set the grade that wave beam forms right value update graininess, comprise the time width and the band width of time.
(4), set the initial value that described wave beam forms right value update graininess according to the speed of described subscriber equipment.
4. method as claimed in claim 3, it is characterized in that, determine the step of coherence time described in the step (2), comprise at first and determine maximum doppler frequency, determine described coherence time according to described maximum doppler frequency then according to the current speed class of described subscriber equipment.
5. method as claimed in claim 3 is characterized in that, the time width of time is less than described coherence time described in the step (3), and the band width of described time is less than described coherence bandwidth.
6. method as claimed in claim 3 is characterized in that, described step (3) comprises according to described wave beam and forms right value update graininess, generates the wave beam formation weights that the corresponding wave beam of institute forms Resource Block.
7. the method for claim 1 is characterized in that, described pace of change self adaptation according to channel is adjusted wave beam and formed right value update graininess, when the pace of change that comprises described channel is lower than the Adaptive Modulation thresholding of setting, adjusts modulation scheme; When the pace of change of described channel is lower than the right value update thresholding of setting, recomputate the weights that wave beam forms.
8. the method shown in claim 7 is characterized in that, described adjustment modulation scheme comprises that the modulation constellation number with data flow reduces.
9. the method shown in claim 7 is characterized in that, the pace of change of described channel characterizes by the channel status indication.
10. the method shown in claim 9 is characterized in that, the least unit that described self adaptation adjustment wave beam forms right value update graininess equals the minimum running time-frequency resource granularity of physical layer.
11. the method for claim 1 is characterized in that, adjusts wave beam according to the pace of change self adaptation of described channel and forms weights, comprising:
(a) if the pace of change of the channel of described subscriber equipment feedback is lower than the right value update thresholding of setting, execution in step (c) then, otherwise execution in step (b);
(b) primary beam forms the weights continuation and forms the time use at pairing wave beam, forms Resource Block renewal wave beam to next wave beam and forms weights, end;
(c) calculate and upgrade the wave beam formation weights of Resource Block according to channel information, and, finish at the weights that the part use of Resource Block remainder is upgraded.
12. the method for claim 1 is characterized in that, described method further comprises, inserts the pilot tone of fixed qty in the Resource Block of described wave beam formation right value update graininess correspondence.
CN 200710140499 2007-08-24 2007-08-24 Method for self-adapting regulation of beam-forming right value update graininess Expired - Fee Related CN101374001B (en)

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CN101902763A (en) * 2009-05-27 2010-12-01 大唐移动通信设备有限公司 Method and device for configuring and updating broadcast beam weight number
CN102045097A (en) * 2009-10-13 2011-05-04 鼎桥通信技术有限公司 Method and device for downlink beamforming during high-speed movement of user equipment
CN102404036A (en) * 2010-09-14 2012-04-04 电信科学技术研究院 Method, device and system for adjusting forming granularity
CN102438303A (en) * 2011-12-28 2012-05-02 华为技术有限公司 Method for determining transmit weight value in transmit diversity and user equipment (UE)
CN102983956A (en) * 2012-11-30 2013-03-20 北京北方烽火科技有限公司 Moving speed estimation method for terminal and base station
CN103312404A (en) * 2012-03-08 2013-09-18 电信科学技术研究院 Estimation method and device of forming granularity

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CN100401650C (en) * 2004-12-24 2008-07-09 中兴通讯股份有限公司 Self-adaptive method of intelligent antenna for forming wave packet and demodulating data
KR100975730B1 (en) * 2005-03-29 2010-08-13 삼성전자주식회사 Random beamforming method of mimo system
CN100544231C (en) * 2005-06-08 2009-09-23 中兴通讯股份有限公司 Smart antenna implementation method and smart antenna based on software radio are realized system

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101902763A (en) * 2009-05-27 2010-12-01 大唐移动通信设备有限公司 Method and device for configuring and updating broadcast beam weight number
CN101902763B (en) * 2009-05-27 2013-07-10 电信科学技术研究院 Method and device for configuring and updating broadcast beam weight number
CN102045097A (en) * 2009-10-13 2011-05-04 鼎桥通信技术有限公司 Method and device for downlink beamforming during high-speed movement of user equipment
CN102404036A (en) * 2010-09-14 2012-04-04 电信科学技术研究院 Method, device and system for adjusting forming granularity
CN102404036B (en) * 2010-09-14 2014-04-16 电信科学技术研究院 Method, device and system for adjusting forming granularity
CN102438303A (en) * 2011-12-28 2012-05-02 华为技术有限公司 Method for determining transmit weight value in transmit diversity and user equipment (UE)
CN103312404A (en) * 2012-03-08 2013-09-18 电信科学技术研究院 Estimation method and device of forming granularity
CN103312404B (en) * 2012-03-08 2016-01-13 电信科学技术研究院 A kind of method of estimation of forming granularity and device
CN102983956A (en) * 2012-11-30 2013-03-20 北京北方烽火科技有限公司 Moving speed estimation method for terminal and base station
CN102983956B (en) * 2012-11-30 2015-07-08 北京北方烽火科技有限公司 Moving speed estimation method for terminal and base station

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