CN101754347A - CQI estimation method, system and device during multi-stream beamforming transmission - Google Patents
CQI estimation method, system and device during multi-stream beamforming transmission Download PDFInfo
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Abstract
The invention provides a channel quality indicator CQI estimation method during multi-stream beamforming transmission, which comprises the following steps: an user equipment UE receives a common pilot and a special pilot sent by a base station; the UE carries out CQI combined estimation on the common pilot and the special pilot according to the number of data streams or the number of code words of beamforming transmission for obtaining the corresponding CQI; and the UE sends the CQI to the base station. The invention further provides a CQI estimation system and a device during the multi-stream beamforming transmission. The base station can estimate the reasonable CQI during the multi-stream beamforming transmission by adopting the method, thereby being conductive to leading the base station to select the appropriate MCS for each data stream of the UE and effectively improving the data transmission throughput of the system.
Description
Technical field
The present invention relates to the mobile communication technology field, CQI when particularly a kind of multi-flow beam forming transmits (Channel Quality Indicator, channel quality indication) method of estimation, system and equipment.
Background technology
In LTE (Long Term Evolution, Long Term Evolution) system, public guide frequency is that the sub-district is public, and the common pilot signal of 4 ports is arranged at present, as shown in Figure 1, and R among the figure
0～R
3Represent the common pilot signal on the antenna port 0～3 respectively.Wherein, figure A is the common pilot signal mapping pattern under conventional CP (normal CP) condition, and figure B is used to expand the common pilot signal mapping pattern under CP (extended CP) condition.The dedicated pilot symbol only data division in distributing to the Physical Resource Block PRB that the user carries out wave beam forming uses.Dedicated pilot is based on UE's (User Equipment, subscriber equipment), and promptly each user can only receive the dedicated pilot signal of oneself.In the LTE-R8 system, the port numbers of dedicated pilot is 5, and as shown in Figure 2, dash area is represented the cell common pilots signal on the port 0,1, and figure A is applicable to conventional CP, and figure B is applicable to expansion CP, R
5Be dedicated pilot mapping schematic diagram, running time-frequency resource and public guide frequency that dedicated pilot takies do not conflict.When carrying out downlink data transmission, in order to adapt to different application scenarioss, defined multiple transmission mode, and be to utilize the pilot signal of port 5 to carry out channel estimating to make demodulating data and use based on the transmission mode of port 5.
When carrying out transfer of data, frequency domain dispatching need be carried out according to the CQI of UE feedback in the base station, distribute suitable MCS (Modulation and Code Scheme simultaneously, modulation coding mode), the usefulness because the CQI that estimates based on public guide frequency can only work as dispatcher, actual MCS also need to select the CQI according to the UE feedback to carry out certain correction.In the prior art, can use up sounding signal (terminal is issued the upstream detection pilot frequency signal of base station) to make amendment in TDD (Time Division Duplexing, the time division duplex) system.
The shortcoming that prior art exists is, estimating based on public guide frequency that CQI revises relatively by above-mentioned prior art when the single current wave beam forming transmits is relatively easy to, yet when multi-flow beam forming transmits, owing to the interference of the existence between the multithread makes that the CQI estimation is very difficult.For example when port 5 carries out transfer of data, the current suggestion of LTE system uses common pilot signal to carry out the CQI estimation, and during actual data transfer the dedicated pilot of port 5 at transmitting terminal through weighting, therefore the signal to noise ratio of UE demodulation and the signal to noise ratio of public guide frequency are inequality, thereby can cause the inaccurate of base station scheduling.In addition, because the interference of uplink downlink is inconsistent in the TDD system, use up sounding signal to estimate that descending CQI is not accurate, and in the FDD system because the base station to the information of descending channel information without any priori, adopts empirical algorithms CQI to be revised the CQI value that also can not accurately estimate physical link.
Summary of the invention
Purpose of the present invention is intended to solve at least one of above-mentioned technological deficiency, the inaccurate defective of CQI that the base station is estimated when particularly solving the transmission of prior art multi-flow beam forming.
For achieving the above object, channel quality indicator (CQI) method of estimation when one aspect of the present invention proposes a kind of multi-flow beam forming transmission, may further comprise the steps: user equipment (UE) receives public guide frequency and the dedicated pilot that the base station sends; Described UE is according to wave beam forming data flow transmitted number or code word number, described public guide frequency and dedicated pilot carried out CQI unite and estimate to obtain corresponding C QI; Described UE sends to described base station with described CQI.
According to embodiments of the invention, described public guide frequency and dedicated pilot are carried out CQI unite and estimate that obtaining corresponding C QI comprises: described UE estimates the signal to noise ratio of public guide frequency according to described public guide frequency and estimates the signal to noise ratio of dedicated pilot according to described dedicated pilot; Described UE unites estimation to the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot, obtains described CQI.
According to embodiments of the invention, described UE estimates that according to described dedicated pilot the signal to noise ratio of dedicated pilot comprises: described UE carries out the signal-to-noise ratio (SNR) estimation of described dedicated pilot by MMSE or ZF algorithm to described dedicated pilot, and each data flow or each code word are estimated an independently signal to noise ratio.
According to embodiments of the invention, described UE unites the signal to noise ratio of the signal to noise ratio of described public guide frequency and described dedicated pilot and estimates to comprise: described UE calculates the difference of the signal to noise ratio of the signal to noise ratio of corresponding the above dedicated pilot of frequency band and described public guide frequency; Described UE with the signal to noise ratio of the described public guide frequency of described difference correction as described CQI.
According to embodiments of the invention, described UE comprises as described CQI with the signal to noise ratio of the described public guide frequency of described difference correction: described public guide frequency adds the above difference as described CQI in the signal to noise ratio of corresponding frequency band.
According to embodiments of the invention, described UE comprises as described CQI with the signal to noise ratio of the described public guide frequency of described difference correction: with weight coefficient a described difference is weighted, add the above public guide frequency in the signal to noise ratio of corresponding frequency band as described CQI, 0≤a≤1 wherein.
According to embodiments of the invention, described base station is received after the described CQI, also comprised: suitable modulation coding mode MCS grade is selected according to the described CQI of each data flow of the described UE that obtains in described base station.
CQI estimating system when the present invention has also proposed the transmission of a kind of multi-flow beam forming on the other hand comprises at least one UE of base station and described base station services,
Described UE, be used to receive public guide frequency and the dedicated pilot that described base station sends, and estimate the signal to noise ratio of public guide frequency and estimate the signal to noise ratio of dedicated pilot according to described dedicated pilot according to described public guide frequency, and the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot united estimation, obtain CQI, and described CQI is sent to described base station; Described base station is used for sending described public guide frequency and described dedicated pilot to described UE, and receives the CQI of described UE feedback.
The present invention has also proposed a kind of UE on the other hand, comprises receiver module, estimation module and sending module,
Described receiver module is used to receive public guide frequency and the dedicated pilot that the base station sends; Described estimation module, be used for estimating the signal to noise ratio of public guide frequency and estimating the signal to noise ratio of dedicated pilot according to described dedicated pilot according to described public guide frequency, and the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot united estimation, obtain CQI; Described sending module is used for described CQI is sent to described base station.
According to embodiments of the invention, described estimation module comprises detection module and weighting block,
Described detection module is used for estimating the signal to noise ratio of public guide frequency and estimating the signal to noise ratio of dedicated pilot according to described dedicated pilot according to described public guide frequency, and by MMSE or ZF algorithm described dedicated pilot is carried out the signal-to-noise ratio (SNR) estimation of described dedicated pilot, each data flow or each code word are estimated an independently signal to noise ratio; Described weighting block is used for the signal to noise ratio of the signal to noise ratio of described public guide frequency and described dedicated pilot is united estimation, obtains described CQI.
According to embodiments of the invention, described weighting block also comprises module is set,
The described module that is provided with is used to be provided with and carries out the weight coefficient a that CQI unites weighting associating when estimating, wherein 0≤a≤1; Described weighting block calculates the difference of the signal to noise ratio of the signal to noise ratio of corresponding the above dedicated pilot of frequency band and described public guide frequency, and with weight coefficient a described difference is weighted, add the above public guide frequency in the signal to noise ratio of corresponding frequency band as described CQI.
By technique scheme of the present invention, can when transmitting, multi-flow beam forming can make the base station estimate rational CQI, and help the base station and select suitable MCS for each data flow of this UE, can effectively improve the transfer of data throughput of system.
Aspect that the present invention adds and advantage part in the following description provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Description of drawings
Fig. 1 is a public guide frequency mapping schematic diagram in the LTE system;
Fig. 2 is a special-purpose pilot tone mapping schematic diagram in the LTE system;
Two private port pilot tone schematic diagrames when Fig. 3 transmits for dual-stream beamforming;
The flow chart of CQI method of estimation when Fig. 4 transmits for embodiment of the invention multi-flow beam forming;
CQI estimating system structure chart when Fig. 5 transmits for embodiment of the invention multi-flow beam forming.
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein identical from start to finish or similar label is represented identical or similar elements or the element with identical or similar functions.Below by the embodiment that is described with reference to the drawings is exemplary, only is used to explain the present invention, and can not be interpreted as limitation of the present invention.
The present invention mainly is, UE is by receiving public guide frequency and dedicated pilot, estimate after the corresponding signal to noise ratio, the signal to noise ratio of public guide frequency and dedicated pilot is united estimate to obtain CQI and, thereby make the base station can obtain the CQI comparatively accurately of each data flow to base station feedback.
Channel quality indicator (CQI) method of estimation when the present invention proposes the transmission of a kind of multi-flow beam forming may further comprise the steps:
User equipment (UE) receives public guide frequency and the dedicated pilot that the base station sends; Described UE is according to wave beam forming data flow transmitted number or code word number, described public guide frequency and dedicated pilot carried out CQI unite and estimate to obtain corresponding C QI; Described UE sends to described base station with described CQI.
Usually code word number, data flow and CQI have following corresponding relation: the code word number just is meant the encoding block number, the corresponding a kind of MCS modulation system of encoding block, and MCS modulation system and CQI correspondence, therefore a code word need provide a CQI, and code word number and CQI number are corresponding; Data flow is meant the data flow that a UE receives simultaneously, a code word can be mapped to a data flow, also can be mapped to two data flow, so corresponding data flow of code word, then a data flow need provide a CQI, if corresponding two data flow of code word, then these two data flow only need provide a CQI.
Understand in order to have clearly the present invention, below earlier to multi-flow beam forming transmission simply introduce.Owing in the LTE standard, there is not concrete regulation at present, therefore following multi-flow beam forming transmission of being lifted only is a kind of simple example, purpose is to make the present invention clearer, be not that the present invention can only be limited in the following example, the present invention in other words only can be limited in the dual-stream beamforming transmission, it will be appreciated by those skilled in the art that the present invention can be applicable to any multi-flow beam forming transmission technology.As shown in Figure 3, two private port pilot tone schematic diagrames when transmitting, R among the figure for dual-stream beamforming
6And R
7Represent the pilot signal of different port.
As shown in Figure 4, the flow chart of CQI method of estimation when transmitting for embodiment of the invention multi-flow beam forming can may further comprise the steps in actual applications:
Step S401, UE receives public guide frequency and the dedicated pilot that the base station sends.Wherein, available public guide frequency port number depends on the common pilot signal that the base station sends, and is undertaken the information of PBCH (Physical Broadcast Channel, Physical Broadcast Channel) is detected the port number that obtains actual transmission by UE.In the present embodiment, public guide frequency sends on full bandwidth, as shown in Figure 1, under the situation of conventional CP or expansion CP, R
0, R
1, R
2, R
3Be system's public guide frequency mapping schematic diagram.Two private port pilot tone schematic diagrames when dedicated pilot is the dual-stream beamforming transmission, as shown in Figure 3, R among the figure
6And R
7Represent the pilot signal of different port.Obviously, the present invention can be applicable to any multithread and is not limited to double-current wave beam forming transmission technology.
Step S402, UE estimates the signal to noise ratio of downlink bandwidth according to public guide frequency and estimates for the signal to noise ratio on the frequency band according to dedicated pilot.As one embodiment of the present of invention, purpose for unified scheduling, the mode of the signal to noise ratio that UE estimates according to public guide frequency is that the high-level signaling by the base station is notified to UE's, wherein, the mode of the signal to noise ratio of estimating both can be based on sending diversity mode, also can adopt additive method, perhaps both can be based on the broadband, also can be based on subband.As one embodiment of the present of invention, the signal-to-noise ratio (SNR) estimation of dedicated pilot can estimating according to the multithread detection algorithm, for example, UE carries out the signal-to-noise ratio (SNR) estimation of dedicated pilot by MMSE or ZF algorithm to above-mentioned dedicated pilot, and each data flow or each code word are estimated an independently signal to noise ratio.
Step S403, UE carries out the CQI estimation to public guide frequency and dedicated pilot.As one embodiment of the present of invention, UE unites the signal to noise ratio of the signal to noise ratio of described public guide frequency and described dedicated pilot and estimates may further comprise the steps: UE calculates the difference of the signal to noise ratio of the signal to noise ratio of dedicated pilot on the corresponding frequency band and public guide frequency; UE with the signal to noise ratio of the described public guide frequency of above-mentioned difference correction as CQI.
More specifically, UE obtains CQI and adds that in the signal to noise ratio of corresponding frequency band above-mentioned difference is as CQI by public guide frequency.
In addition, also can adopt other weighting algorithm to obtain CQI.For example, above-mentioned difference is weighted with weight coefficient a, add the above public guide frequency in the signal to noise ratio of corresponding frequency band as described CQI, 0≤a≤1 wherein.Obviously, also can stipulate a＞1, wherein the value of weight coefficient can be selected according to the practical operation situation of system.
Step S404, UE sends CQI to the base station.The CQI that UE obtains after the CQI of base station actual feedback is to revise, UE according to data flow transmitted or code word number to the CQI of base station feedback correspondence value.
Step S405, the base station is according to the CQI of each data flow of obtaining, for UE selects suitable modulation coding mode MCS grade.By the method for the above-mentioned feedback CQI of UE, the base station can estimate rational CQI, helps the base station and selects suitable MCS for each data flow of this UE, helps improving the transfer of data throughput of system.
As shown in Figure 5, CQI estimating system structure chart when transmitting for embodiment of the invention multi-flow beam forming, this system comprises at least one UE 2000 of base station 1000 and base station 1000 services.UE 2000 is used to receive public guide frequency and the dedicated pilot that base station 1000 sends, and estimate the signal to noise ratio of public guide frequency and estimate the signal to noise ratio of dedicated pilot according to dedicated pilot according to public guide frequency, and the signal to noise ratio of public guide frequency and the signal to noise ratio of dedicated pilot united estimation, obtain CQI, and CQI is sent to base station 1000.Base station 1000 is used for sending public guide frequency and dedicated pilot to UE2000, and receives the CQI of UE1000 feedback.
Wherein, UE1000 comprises receiver module 2300, estimation module 2200 and sending module 2100.Receiver module 2300 is used to receive public guide frequency and the dedicated pilot that base station 1000 sends; Estimation module 2200 is used for estimating the signal to noise ratio of public guide frequency and estimating the signal to noise ratio of dedicated pilot according to dedicated pilot according to public guide frequency, and the signal to noise ratio of public guide frequency and the signal to noise ratio of dedicated pilot are united estimation, obtains CQI; Sending module 2100 is used for CQI is sent to base station 1000.
As embodiments of the invention, estimation module 2200 also comprises detection module 2210 and weighting block 2220.
Wherein, detection module 2210 is used for estimating the signal to noise ratio of public guide frequency and estimating the signal to noise ratio of dedicated pilot according to dedicated pilot according to public guide frequency, and by MMSE or ZF algorithm dedicated pilot is carried out the signal-to-noise ratio (SNR) estimation of dedicated pilot, each data flow or each code word are estimated an independently signal to noise ratio.Weighting block 2220 is used for the signal to noise ratio of the signal to noise ratio of public guide frequency and dedicated pilot is united estimation, obtains CQI.
As embodiments of the invention, weighting block 2220 also comprises module 2221 is set.
Wherein, module 2221 is set is used to be provided with and carries out the weight coefficient a that CQI unites weighting associating when estimating, preferably, 0≤a≤1.
Particularly, weighting block 2220 calculates the difference of the signal to noise ratio of the signal to noise ratio of dedicated pilot on the corresponding frequency band and public guide frequency, and with weight coefficient a above-mentioned difference is weighted, add public guide frequency in the signal to noise ratio of corresponding frequency band as CQI.
By the said equipment of the present invention, when transmitting, multi-flow beam forming can make the base station estimate rational CQI, and help the base station and select suitable MCS for each data flow of this UE, can effectively improve the transfer of data throughput of system.
Although illustrated and described embodiments of the invention, for the ordinary skill in the art, be appreciated that without departing from the principles and spirit of the present invention and can carry out multiple variation, modification, replacement and modification that scope of the present invention is by claims and be equal to and limit to these embodiment.
Claims (11)
1. the channel quality indicator (CQI) method of estimation is characterized in that when a multi-flow beam forming transmitted, and may further comprise the steps:
User equipment (UE) receives public guide frequency and the dedicated pilot that the base station sends;
Described UE is according to wave beam forming data flow transmitted number or code word number, described public guide frequency and dedicated pilot carried out CQI unite and estimate to obtain corresponding C QI;
Described UE sends to described base station with described CQI.
2. the CQI method of estimation is characterized in that during multi-flow beam forming as claimed in claim 1 transmission, described public guide frequency and dedicated pilot is carried out CQI unite and estimate that obtaining corresponding C QI comprises:
Described UE estimates the signal to noise ratio of public guide frequency according to described public guide frequency and estimates the signal to noise ratio of dedicated pilot according to described dedicated pilot;
Described UE unites estimation to the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot, obtains described CQI.
3. the CQI method of estimation is characterized in that when multi-flow beam forming as claimed in claim 2 transmitted, and described UE estimates that according to described dedicated pilot the signal to noise ratio of dedicated pilot comprises:
Described UE carries out the signal-to-noise ratio (SNR) estimation of described dedicated pilot by MMSE or ZF algorithm to described dedicated pilot, and each data flow or each code word are estimated an independently signal to noise ratio.
4. the CQI method of estimation is characterized in that during multi-flow beam forming as claimed in claim 2 transmission, and described UE unites the signal to noise ratio of the signal to noise ratio of described public guide frequency and described dedicated pilot and estimates to comprise:
Described UE calculates the difference of the signal to noise ratio of the signal to noise ratio of corresponding the above dedicated pilot of frequency band and described public guide frequency;
Described UE with the signal to noise ratio of the described public guide frequency of described difference correction as described CQI.
5. CQI method of estimation when multi-flow beam forming as claimed in claim 4 transmits is characterized in that described UE comprises as described CQI with the signal to noise ratio of the described public guide frequency of described difference correction:
Described public guide frequency adds the above difference as described CQI in the signal to noise ratio of corresponding frequency band.
6. CQI method of estimation when multi-flow beam forming as claimed in claim 4 transmits is characterized in that described UE comprises as described CQI with the signal to noise ratio of the described public guide frequency of described difference correction:
With weight coefficient a described difference is weighted, add the above public guide frequency in the signal to noise ratio of corresponding frequency band as described CQI, 0≤a≤1 wherein.
7. CQI method of estimation when transmitting as each described multi-flow beam forming of claim 1-6 is characterized in that described base station is received after the described CQI, also comprised:
Suitable modulation coding mode MCS grade is selected according to the described CQI of each data flow of the described UE that obtains in described base station.
8. the CQI estimating system is characterized in that when a multi-flow beam forming transmitted, and comprised at least one UE of base station and described base station services,
Described UE, be used to receive public guide frequency and the dedicated pilot that described base station sends, and estimate the signal to noise ratio of public guide frequency and estimate the signal to noise ratio of dedicated pilot according to described dedicated pilot according to described public guide frequency, and the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot united estimation, obtain CQI, and described CQI is sent to described base station;
Described base station is used for sending described public guide frequency and described dedicated pilot to described UE, and receives the CQI of described UE feedback.
9. a UE is characterized in that, comprises receiver module, estimation module and sending module,
Described receiver module is used to receive public guide frequency and the dedicated pilot that the base station sends;
Described estimation module, be used for estimating the signal to noise ratio of public guide frequency and estimating the signal to noise ratio of dedicated pilot according to described dedicated pilot according to described public guide frequency, and the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot united estimation, obtain CQI;
Described sending module is used for described CQI is sent to described base station.
10. UE as claimed in claim 9 is characterized in that described estimation module comprises detection module and weighting block,
Described detection module, be used for estimating the signal to noise ratio of public guide frequency and estimating the signal to noise ratio of dedicated pilot according to described dedicated pilot according to described public guide frequency, and by MMSE or ZF algorithm described dedicated pilot is carried out the signal-to-noise ratio (SNR) estimation of described dedicated pilot, each data flow or each code word are estimated an independently signal to noise ratio;
Described weighting block is used for the signal to noise ratio of described public guide frequency and the signal to noise ratio of described dedicated pilot are united estimation, obtains described CQI.
11. UE as claimed in claim 10 is characterized in that, described weighting block also comprises module is set,
The described module that is provided with is used to be provided with and carries out the weight coefficient a that CQI unites weighting associating when estimating, wherein 0≤a≤1;
Described weighting block calculates the difference of the signal to noise ratio of the signal to noise ratio of corresponding the above dedicated pilot of frequency band and described public guide frequency, and with weight coefficient a described difference is weighted, add the above public guide frequency in the signal to noise ratio of corresponding frequency band as described CQI.
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| CN102624501A (en) * | 2011-01-31 | 2012-08-01 | 中兴通讯股份有限公司 | Method and apparatus for sending channel quality indication |
| WO2012159266A1 (en) * | 2011-05-25 | 2012-11-29 | 富士通株式会社 | Self-adaptive multiple streams beamforming method and base station |
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| US7317702B2 (en) * | 2004-07-30 | 2008-01-08 | Lucent Technologies Inc. | Method and apparatus for enhancing performance of channel quality indicator (CQI) channel in wireless communications system |
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