CN102404028A - Wave beam forming method - Google Patents
Wave beam forming method Download PDFInfo
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Abstract
The invention provides a wave beam forming method which comprises the steps that UE (user equipment) sends DMRS (demodulation reference signal) in each uplink data sub-frame and periodically transmits SRS (signal reference structure); an eNodeB (evolved node B) receives SRS signals according to the transmitting period of the SRS to carry out information channel estimation, calculates and stores the latest autocorrelation matrix Rxx (reactive extension) by utilizing the information channel estimation result; and the eNodeB receives DMRS signals of the UE in each uplink sub-frame to carry out information channel estimation, calculates and stores the latest instant wave beam forming vector w by utilizing the information channel estimation result and a GOB (grid of beam) algorithm. When downlink wave beams are formed, the weight coefficient of the downlink wave beam forming is calculated by utilizing the latest autocorrelation matrix Rxx and the latest instant wave beam forming vector w (WBF=RXX*w); and the wave beam forming is carried out on downlink dispatched data according to the weight coefficient of the downlink wave beam forming.
Description
Technical field
The present invention relates to the data transmission technology in the communication system, particularly a kind of beam form-endowing method.
Background technology
Wave beam forming transmission plan in the LTE TDD system has utilized the reciprocity of TDD system uplink downlink, the figuration vector through to the channel estimation calculation downlink transfer of uplink SRS the time.So, the wave beam forming performance just directly receives the influence of channel reciprocity quality.
The factor that influences the uplink downlink reciprocity mainly comprises:
1.SRS the cycle is longer, the variation that the estimation of up channel can't the fast adaptation down channel
The SRS of the 3GPP agreement regulation cycle of sending can be { 2,5,10; 20,40,80; 160,320}ms, but consider the factors such as time variation and UE translational speed of channel; The SRS cycle oversize can heavy damage the reciprocity of up-downgoing channel, thereby cause the deterioration of wave beam forming performance, concrete simulation result is as shown in Figure 1.
2.SRS intercepting bandwidth and downlink resource distributes asymmetric
According to the regulation of 3GPP agreement, SRS intercept bandwidth can be the broadband also can be the arrowband, when 20MHz (100RB) system bandwidth, it is 96RB that maximum SRS intercepts bandwidth like table 1, minimum is 4RB.Under the situation of resource-constrained, the UE in the sub-district can not send the SRS in broadband.So just be easy to occur the asymmetry that SRS intercepts the frequency range of frequency band and downlink resource distribution.
Table 1
For two problems of top proposition,, must adopt the enhancement techniques of up-downgoing channel reciprocity if adopt the wave beam forming transmission plan.
In existing solution; Patent CN200710175220.8 puts forward the notion of instantaneous channel and long-time statistical channel; Its concrete operation method is: estimate uplink channel information according to pilot signal; The descending channel information He that calculates instantaneous channel status Hf and estimate, and the weight coefficient α between the definite He, Hf according to the long-term channel statistical property, thus confirm that down channel is Hd=(1-α) He+ α Hf.This method has strengthened the reciprocity of up-downgoing channel, but the pilot tone of its application is SRS, and need satisfy SRS and intercept frequency band and downlink resource and distribute the precondition that is consistent.
Patent CN200510009643.3 solves the frequency deviation problem of FDD system uplink downlink through the pull-in frequency calibration matrix.Thereby utilize the frequency calibration matrix to handle the covariance matrix that the up channel covariance matrix obtains down channel, can direct technology wave beam forming coefficient.This invention can SRS intercepts frequency band and downlink resource distributes the asymmetric frequency deviation problem that causes with solving, but does not consider the deterioration problem of the long up-downgoing channel reciprocity that causes of SRS cycle.
Summary of the invention
The invention provides a kind of beam form-endowing method, can solve the problem that the long up-downgoing channel reciprocity that causes of SRS cycle worsens.
For realizing above-mentioned purpose, the present invention adopts following technical scheme:
A kind of beam form-endowing method comprises:
UE sends DMRS in each upstream data subframe, and periodically carries out the transmission of SRS;
ENodeB carries out channel estimating according to the transmission cycle reception SRS signal of said SRS, and utilizes this channel estimation results to calculate and preserve up-to-date autocorrelation matrix R
Xx
ENodeB carries out channel estimating at the DMRS signal that each upstream data subframe receives UE, and utilizes this channel estimation results to calculate and preserve up-to-date instantaneous wave beam forming vector w;
When carrying out down beam shaping, utilize said up-to-date autocorrelation matrix R
XxCalculate the down beam shaping weight coefficient with said up-to-date instantaneous wave beam forming vector w, and the data of descending scheduling are carried out wave beam forming according to this down beam shaping weight coefficient.
Preferably, said calculating and preserve up-to-date instantaneous wave beam forming vector w and be: adopt the said up-to-date instantaneous wave beam forming vector w of GOB algorithm computation.
Preferably, said calculating down beam shaping coefficient is: W
BF=R
Xx* w.
Visible by technique scheme, among the present invention, on the one hand, eNodeB utilizes the SRS signal that periodically receives to carry out channel estimating, calculates and preserve the autocorrelation matrix of channel, as long-term CSI; On the other hand, eNodeB utilizes the DMRS signal that periodically receives to carry out channel estimating, as short-term CSI, and utilizes this short-term CSI to calculate and preserve instantaneous wave beam forming vector estimated result; Combine above-mentioned long-term CSI and short-term CSI again, calculate down beam shaping weight coefficient W
BF=R
Xx* w utilizes this down beam shaping weight coefficient to carry out the wave beam forming of descending scheduling data.Like this, the mode of utilizing long-term CSI and short-term CSI to combine is calculated the down beam shaping weight coefficient, can solve the problem that the long up-downgoing channel reciprocity that causes of SRS cycle worsens.Further, when calculating instantaneous wave beam forming vector, can adopt the GOB algorithm, thereby solve the asymmetric frequency deviation problem that causes of up-downgoing resource.
Description of drawings
Fig. 1 sends relatively sketch map of corresponding wave beam forming performance of cycle for different SRS in the existing beam form-endowing method;
Fig. 2 is the particular flow sheet of beam form-endowing method among the present invention;
Fig. 3 carries out the sketch map that concerns of signal to noise ratio and the error rate behind the wave beam forming for only adopting the GOB algorithm under the different up-downgoing frequency differences;
Fig. 4 carries out the sketch map that concerns of signal to noise ratio and the error rate behind the wave beam forming for adopting beam form-endowing method of the present invention under the different up-downgoing frequency differences;
Fig. 5 is that the performance of existing beam form-endowing method and beam form-endowing method of the present invention compares sketch map one;
Fig. 6 is that the performance of existing beam form-endowing method and beam form-endowing method of the present invention compares sketch map two;
Fig. 7 is that the performance of existing beam form-endowing method and beam form-endowing method of the present invention compares sketch map three;
Fig. 8 is that the performance of existing beam form-endowing method and beam form-endowing method of the present invention compares sketch map four.
Embodiment
For making the object of the invention, technological means and advantage clearer, the present invention is explained further details below in conjunction with accompanying drawing.
Basic thought of the present invention is: send long problem of cycle to SRS; Utilize DMRS to estimate the up channel of short-term; With the result of SRS channel estimating, as long-term CSI, again when carrying out wave beam forming; Up channel and long-term CSI in conjunction with short-term confirm current wave beam forming weight coefficient, thereby solve the problem that the long up-downgoing channel reciprocity that causes of SRS cycle worsens; Further, to the asymmetric frequency deviation problem that causes of up-downgoing resource, utilize the GOB algorithm to calculate instantaneous figuration vector w according to the up channel of short-term.
Through specific embodiment concrete realization of the present invention is described below.
Fig. 2 is the particular flow sheet of beam form-endowing method among the present invention, and as shown in the figure, this method comprises:
Step 201, UE sends DMRS in each upstream data subframe, and periodically carries out the transmission of SRS.
Wherein, SRS and DMRS are existing signal.DMRS sends when the each uplink scheduling of UE, and therefore, when the SRS transmission cycle was longer, in the interval in SRS cycle, UE can send DMRS relatively continually, therefore can utilize this DMRS to upgrade up channel.
Step 202, eNodeB carries out channel estimating according to the transmission cycle reception SRS signal of SRS, and utilizes this channel estimation results to calculate and preserve up-to-date autocorrelation matrix R
Xx
In this step, arrive constantly in the transmission cycle of each SRS, eNodeB receives SRS signal receipts and carries out uplink channel estimation, utilizes this channel estimation results to calculate the autocorrelation matrix of this channel, and preserves current up-to-date autocorrelation matrix all the time.This autocorrelation matrix has reacted long-term up channel statistical property, i.e. long-term CSI.
Concrete processing mode in concrete this step is identical with prior art, just repeats no more here.
Step 203, eNodeB carries out channel estimating at the DMRS signal that each upstream data subframe receives UE, and utilizes this channel estimation results to calculate and preserve up-to-date instantaneous wave beam forming vector w.
In this step, UE sends DMRS at each sub-frame of uplink, and eNodeB receives DMRS signal receipts and carries out uplink channel estimation.Because the transmission of DMRS is more frequent, what the channel that is therefore obtained by this signal estimation reacted is the temporal properties of up channel, i.e. short-term CSI.
For the DMRS of short-term CSI, it sends frequency band and possibly distribute inconsistently with downlink resource, and preferably, present embodiment adopts the GOB algorithm to address this problem.For the frequency calibration algorithm that CN200510009643.3 provides, the basic principle that both utilize all is that radio propagation path keeps the constant characteristic of DOA in certain frequency band.Particularly, through adopting the wireless propagation path and the DOA of Wirless Insite software emulation different frequency, can obtain the result shown in the table 2.
Table 2
Data by table 2 can find out that frequency is to not influence of radio propagation path, and the DOA of different frequent points is the same.Though each footpath propagation power of different frequent points is different, main footpath remains unchanged in the 100MHz of emulation bandwidth.Therefore, can utilize the DOA information of up channel to carry out the wave beam forming of down channel, even the up-downgoing channel frequency has skew.
Based on above-mentioned analysis; In this step, preferably, after obtaining the uplink channel estimation result according to the DMRS signal at every turn; Utilize the uplink channel estimation result to calculate instantaneous wave beam forming vector w according to the GOB algorithm, and preserve current up-to-date instantaneous wave beam forming vector all the time.Wherein, carry out channel estimating, identical with existing mode, just repeat no more here according to the concrete mode of GOB algorithm computation wave beam forming vector according to the DMRS that receives.
In addition, because the transmission cycle of DMRS and SRS is different, so above-mentioned steps 202 and 203 revocable execution sequence also, carry out but possibly intert.Normally, DMRS sends more frequent, therefore, in the cycle of SRS, possibly repeatedly carry out the calculating and the renewal of reception, channel estimating and the instantaneous wave beam forming vector of DMRS signal.Usually, all need carry out the processing of this step, when downlink forming, just utilize the instantaneous forming coefficient of the last up channel like this in each upstream data subframe of UE.
Step 204 when carrying out down beam shaping, is utilized up-to-date autocorrelation matrix R
XxCalculate down beam shaping weight coefficient W with up-to-date instantaneous wave beam forming vector w
BF=R
Xx* w.
Through the processing of preceding two steps, obtain the long-term CSI and the short-term CSI of up channel, in this step, when carrying out down beam shaping, calculate current down beam shaping weight coefficient according to these two contents.Particularly, the down beam shaping weight coefficient is: W
BF=R
Xx* w.Wherein, R
XxBe the current up-to-date autocorrelation matrix that eNodeB preserves, w is the current up-to-date instantaneous wave beam forming vector that eNodeB preserves.
In the process of calculating the down beam shaping weight coefficient, with respect to CN200510009643.3, the present invention need not revise computings such as carrying out characteristic value decomposition behind the channel autocorrelation matrix again, so implementation complexity reduces greatly.
Step 205, the down beam shaping weight coefficient that calculates according to step 204 carries out wave beam forming to the data of descending scheduling.
Because in the aforementioned processing process; Carried out the frequency deviation calibration through the GOB algorithm on the one hand; Overcome the channel reciprocity deterioration that the SRS long period causes through long-term CSI+short-term CSI on the other hand, therefore, when utilizing this down beam shaping weight coefficient to carry out down beam shaping; Both can solve long problem of SRS cycle, also can solve the asymmetric problem of up-downgoing frequency band.
The concrete processing of this step is identical with existing mode, just repeats no more here.
So far, the beam form-endowing method flow process among the present invention finishes.Said method of the present invention is not only applicable to the SRS cycle than under the long scene, is applicable to traditional application scenarios too.Promptly,, can adopt the method for the invention described above to carry out the enhancing of up-downgoing channel reciprocity equally if UE has sent the SRS of arrowband when SRS cycle during less than the correlated time of channel, thus the obtained performance gain.
Below, the performance simulation that provides between beam form-endowing method of the present invention and existing beam form-endowing method compares.Wherein simulation parameter is as shown in table 3.
| The parameter title | Value |
| Antenna configurations | ?8x2 |
| The UE antenna distance | ?0.5λ |
| The eNB antenna distance | ?0.5λ |
| The Research of Antenna Polarization | BS cross polarization，UE co-polarization |
| Carrier frequency | ?2.6GHz |
| System bandwidth | ?20MHz |
| The CP type | ?Normal?CP |
| Modulation system | ?QPSK |
| Down channel is estimated | ?LS |
| The SRS channel estimating | ?LS |
| Equalization algorithm | ?MMSE |
| Coded system | ?Turbo |
| Channel model | ?SCME |
| Communication scenes | ?Urban?Micro |
| The UE translational speed | ?3km/h |
Table 3
We are provided with two parameter S Foffset and Tsrs in emulation, and wherein SFoffset represents the skew of ascending-descending subframes, are set to 5ms during emulation, and the update cycle that is to say DMRS is 10ms; Tsrs is the SRS cycle, and this cycle is greater than the cycle of DMRS.
At first, through simulation result shows up-downgoing frequency difference for the wave beam forming Effect on Performance.Fig. 3 carries out the sketch map that concerns of signal to noise ratio and the error rate behind the wave beam forming for only adopting the GOB algorithm under the different up-downgoing frequency differences.Wherein, up-downgoing frequency difference is the band resource of up DMRS and the frequency difference between the descending scheduling frequency band.In the emulation fixedly the PRB index that distributes of downlink resource be 50, and the different curves in the simulation result are represented the corresponding different PRB index of up DMRS.Visible by Fig. 3, the up-downgoing frequency difference can cause no small influence to the wave beam forming performance.
Next, adopt beam form-endowing method of the present invention to carry out an emulation again, simulation result is as shown in Figure 4.Can find out that after revising through the w that utilizes SRS correlation matrix Rxx that DMRS is calculated, not only the wave beam forming performance significantly improves, and has reduced because the performance difference that frequency difference causes.
At last, the performance of wave beam forming different disposal method is verified validity of the present invention during through different SFoffset of emulation and Tsrs parameter.Concrete simulation result is like Fig. 5,6,7, shown in 8.Wherein, conventional method representes only to utilize the channel estimating of SRS to carry out wave beam forming; DMRS-GOB representes only to utilize the GOB algorithm based on DMRS to carry out wave beam forming.Can find out by Fig. 5,6,7, the simulation result shown in 8, send under the situation of cycle than length, utilize algorithm of the present invention, can obtain the performance gain (BLER=10 of 2～3dB than traditional algorithm at SRS
-1).
The above is merely preferred embodiment of the present invention, and is in order to restriction the present invention, not all within spirit of the present invention and principle, any modification of being made, is equal to replacement, improvement etc., all should be included within the scope that the present invention protects.
Claims (3)
1. a beam form-endowing method is characterized in that, this method comprises:
UE sends DMRS in each upstream data subframe, and periodically carries out the transmission of SRS;
ENodeB carries out channel estimating according to the transmission cycle reception SRS signal of said SRS, and utilizes this channel estimation results to calculate and preserve up-to-date autocorrelation matrix R
Xx
ENodeB carries out channel estimating at the DMRS signal that each upstream data subframe receives UE, and utilizes this channel estimation results to calculate and preserve up-to-date instantaneous wave beam forming vector w;
When carrying out down beam shaping, utilize said up-to-date autocorrelation matrix R
XxCalculate the down beam shaping weight coefficient with said up-to-date instantaneous wave beam forming vector w, and the data of descending scheduling are carried out wave beam forming according to this down beam shaping weight coefficient.
2. method according to claim 1 is characterized in that, said calculating is also preserved up-to-date instantaneous wave beam forming vector w and is: adopt the said up-to-date instantaneous wave beam forming vector w of GOB algorithm computation.
3. method according to claim 1 and 2 is characterized in that, said calculating down beam shaping coefficient is: W
BF=R
Xx* w.
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| CN103701512A (en) * | 2013-12-16 | 2014-04-02 | 北京北方烽火科技有限公司 | Method and device for determining downlink beam forming weight vector |
| WO2014173301A1 (en) * | 2013-04-26 | 2014-10-30 | 大唐移动通信设备有限公司 | Beamforming method and device |
| CN106941681A (en) * | 2016-01-04 | 2017-07-11 | 中兴通讯股份有限公司 | A kind of method, device and base station for determining antenna polarization type |
| WO2017219739A1 (en) * | 2016-06-24 | 2017-12-28 | 电信科学技术研究院 | Method and device for determining beamforming vector |
| CN108289067A (en) * | 2017-01-09 | 2018-07-17 | 中兴通讯股份有限公司 | Channel estimation methods and device |
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| CN107547117A (en) * | 2016-06-24 | 2018-01-05 | 电信科学技术研究院 | A kind of method and device for determining beam shaping vector |
| CN108289067A (en) * | 2017-01-09 | 2018-07-17 | 中兴通讯股份有限公司 | Channel estimation methods and device |
| CN108574954A (en) * | 2017-03-08 | 2018-09-25 | 索尼公司 | Electronic equipment in wireless communication system and method |
| CN110768703A (en) * | 2018-07-26 | 2020-02-07 | 上海华为技术有限公司 | Beamforming transmission method and communication device |
| CN110768703B (en) * | 2018-07-26 | 2023-04-11 | 上海华为技术有限公司 | Beamforming transmission method and communication device |
| US11943667B2 (en) | 2018-12-13 | 2024-03-26 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and base station for multi-user multiple input multiple output |
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