CN100571099C - A kind of feedback, device and transceiver - Google Patents
A kind of feedback, device and transceiver Download PDFInfo
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- CN100571099C CN100571099C CNB2006100584342A CN200610058434A CN100571099C CN 100571099 C CN100571099 C CN 100571099C CN B2006100584342 A CNB2006100584342 A CN B2006100584342A CN 200610058434 A CN200610058434 A CN 200610058434A CN 100571099 C CN100571099 C CN 100571099C
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Abstract
The present invention relates to wireless communication technology, particularly a kind of feedback, device and transceiver are to solve in the prior art owing to feedback information is delayed the problem that can't carry out FEEDBACK CONTROL according to the real-time status of channel that causes; Described method comprises: receiving terminal prediction and the channel status of current Transmission Time Interval TTI after a transmit after receive time delay, and described transmit after receive time delay is the time interval of receiving and sending messages between transmitting terminal and the receiving terminal; Receiving terminal feeds back to transmitting terminal with described channel state prediction result's indication information.Judge periodically that simultaneously change condition of channel is to determine that carrying out the prediction feedback still feeds back currency.Described device and transceiver mainly comprise channel status detection module and feedback Executive Module.Use technical scheme of the present invention and reduced to a certain extent transmitting terminal to be carried out the influence of rate controlled, effectively improved capability of communication system owing to delay of feedback information.
Description
Technical field
The present invention relates to wireless communication technology, particularly a kind of feedback, device and transceiver.
Background technology
MIMO (Multi-Input Multi-Output, multiple-input and multiple-output) application of technology in wireless communication system more and more comes into one's own, no matter be that MIMO has its irreplaceable superiority from angle that increases power system capacity or the angle of improving systematic function.MIMO mainly is divided into two big classes, a class be with the maximization diversity gain be the space diversity reception to communicate of purpose, another kind of then is to be the space division multiplexing technology of purpose with maximum data speed.
The MIMO technology usually again and adaptive coding and modulating (AMC) technology combine, wherein, adaptive coding modulation is meant that receiving terminal is with channel condition information (the Channel StateInformation that measures, CSI) feed back to transmitting terminal, feedback informations such as the channel quality that transmitting terminal provides according to receiving terminal are selected modes such as suitable chnnel coding and modulation, typically as type of coding, code rate, modulation system (QPSK/16QAM etc.), usually, under the situation of Limited Feedback, the CSI that transmitting terminal obtains is by feedback MCS (Modulation ﹠amp; Coding Scheme) index is realized.The all possible MCS that is about to the transmitting terminal support makes a table, is kept at transmitting terminal and receiving terminal simultaneously.
In the process of existing transmission rate control, at first receiving terminal obtains current channel matrix H according to channel estimating, calculates the current signal to noise ratio SINR of each transmitting antenna with this
(i)(wherein i is the transmitting antenna index) is by current SINR
(i)Determine MCS and the corresponding index of feedback.Transmitting terminal is tabled look-up and is determined to adopt which kind of modulation coding mode according to index, the next transmission rate of TTI (Transmission Timing Interval) constantly of control.Thereby realized the real-time control of transmission rate.But in technology in the past, all be the SINR that adopts feedback current
(i), and current SINR
(i)Through feedback certain time delay is arranged, minimum time delay is a TTI, the i.e. SINR of current TTI
(i)Information is sent out end at next TTI and uses.
Be that example further describes with many code words MCW (Multiple Code Word) transmission mode below, as shown in Figure 1, Fig. 1 is a MCW transmission mode structure chart, is provided with 4 transmitting antennas, 4 reception antennas.Data flow is 4 the tunnel through buffering/splitter serial to parallel conversion, and each road sends from transmitting antenna after carrying out coded modulation respectively; Data flow channel H is transferred to reception antenna, and receiving terminal detects decoding to the signal that receives on the every antenna.(Channel QualityIndicator CQI) can adopt different code modulation mode (MCS) to each antenna according to the channel status of each antenna.Channel adopts the MCS of two-forty preferably, the MCS of the employing low rate that channel is relatively poor, and this sample loading mode can make channel capacity reach maximum, is called the theorem of pouring water.The effect of pouring water is directly related with the accuracy of the CQI of feedback.In the system of reality, determine MCS at receiving terminal usually, then by backward channel MCS index notice transmitting terminal, time delay T is arranged in feedback procedure, be channel status before the feedback delay T so in fact the MCS that transmitting terminal obtains reflect.As shown in Figure 2, Fig. 2 is existing feedback principle schematic, and receiving terminal is at t
0Constantly the MCS of each antenna of selecting according to CQI is launched end and is used to control t
0+ T data flow constantly.
Because the channel that mimo channel becomes when being individual, expired MCS after employing is delayed can accurately not reflect the state of channel, had a strong impact on the effect of pouring water, can not make power system capacity reach maximum, this defective exists in existing all similar feedback controling modes equally.
Summary of the invention
The invention provides a kind of feedback, device and transceiver, channel status is predicted, and the feedback forecasting result, to solve in the prior art owing to feedback information is delayed the problem that can't carry out FEEDBACK CONTROL according to the real-time status of channel that causes;
Further, whether the method for the invention carries out the prediction feedback according to channel status decision, and to solve channel state variations when too fast, the prediction feedback can be brought the problem than mistake.
Being achieved through the following technical solutions of structure of the present invention:
Feedback in a kind of wireless communication system comprises the steps:
Receiving terminal is according to the first judgement cycle of setting, the measurement error that predicated error that the feedback forecasting value of each TTI correspondence produces in the more current first judgement cycle and feedback measured value produce, when whole predicated errors or the predicated error of setting number during less than measurement error, each TTI in the next one judgement cycle, the finite response filter prediction that utilizes in the current first judgement cycle optimum of determining and current Transmission Time Interval TTI after a transmit after receive time delay channel status and described channel state prediction result's indication information fed back to transmitting terminal, described transmit after receive time delay is the time interval of receiving and sending messages between transmitting terminal and the receiving terminal; Otherwise the indication information of each the TTI feedback channel state-detection result in next judgement cycle;
Receiving terminal in the current first judgement cycle, calculates the predicated error of each finite response filter simultaneously, and selects the finite response filter of described optimum according to predicated error according to the finite response filter of one group that is provided with different coefficients.
Wherein, the system of selection of described optimum finite response filter is: for the finite response filter in one group of predicated error of same TTI, the finite response filter of record minimal error correspondence, to work as the minimal error occurrence number is maximum in the leading decision cycle finite response filter at last as optimum finite response filter, if the corresponding two or more finite response filters of minimal error occurrence number are then selected or more at random according to selecting the wherein optimum finite response filter of a conduct of predicated error mean value minimum.
In the said method, after receiving terminal and transmitting terminal are set up channel and/or each TTI in the first first judgement cycle of restarting to predict, utilize the prediction of preassigned finite response filter or sef-adapting filter and current Transmission Time Interval TTI after a transmit after receive time delay channel status and described channel state prediction result's indication information fed back to transmitting terminal; Perhaps direct feedback channel state-detection result's indication information.
Described indication information is meant according to the modulation coding mode MCS index that predicts the outcome or testing result is determined; Receiving terminal utilizes the impulse response value of the channel after finite response filter or transmit after receive time delay of the current Transmission Time Interval TTI of sef-adapting filter Prediction distance, calculate the signal to noise ratio of antenna then according to this impulse response value, determine corresponding MCS index according to the signal to noise ratio of antenna again; When being used for the multiple-input and multiple-output mimo system, calculate the signal to noise ratio of each antenna respectively and determine corresponding MCS index according to the impulse response value, then the MCS index of each antenna correspondence and the identification information of this antenna are all fed back to transmitting terminal.
For realizing said method, the invention provides a kind of feed back control system, comprising:
The channel status detection module, be used to detect the channel status of current TTI or prediction and current TTI and set channel status after the time delay apart, specifically comprise: according to the first judgement cycle of setting, the measurement error that predicated error that the feedback forecasting value of each TTI correspondence produces in the more current first judgement cycle and feedback measured value produce, when whole predicated errors or the predicated error of setting number during less than measurement error, each TTI in the next one judgement cycle, the finite response filter prediction that utilizes in the current first judgement cycle optimum of determining and the channel status of current Transmission Time Interval TTI after a transmit after receive time delay feed back to transmitting terminal with described channel state prediction result's indication information, and described transmit after receive time delay is the time interval of receiving and sending messages between transmitting terminal and the receiving terminal; Otherwise the indication information of each the TTI feedback channel state-detection result by described feedback Executive Module in next judgement cycle;
The feedback Executive Module connects described channel status detection module, is used for according to the channel status testing result or predicts the outcome determining corresponding indication information, and generate feedback information according to this indication information;
Predictive filter is selected module, connect described channel status detection module, be used for periodically selecting suitable predictive filter and exporting corresponding control information to described channel status detection module according to selection result, specifically comprise: according to the finite response filter of one group that is provided with different coefficients, in the current first judgement cycle, calculate the predicated error of each finite response filter simultaneously, and select the finite response filter of described optimum according to predicated error.
The present invention also provides a kind of transceiver that uses above-mentioned feed back control system.
The beneficial effect of technical solution of the present invention is as follows:
In the technical scheme of the present invention, receiving terminal is predicted the channel status after the transmit after receive time delay, and feedback forecasting result, make transmitting terminal when carrying out FEEDBACK CONTROL, can control according to channel state at that time, reduced to a certain extent effectively to have improved capability of communication system because delay of feedback information is carried out the influence of rate controlled to transmitting terminal;
Further, the present invention considers when channel state variations is too fast, be not suitable for carrying out the problem of prediction feedback, according to setting cycle, periodically change condition of channel is adjudicated, and whether carry out prediction feedback or feedback current detection value according to channel status decision, further improved the precision of FEEDBACK CONTROL;
Further, the present invention judges or adjusts the predicated error of predictive filter when periodically adjudicating channel state variations, can progressively improve precision of prediction.
Description of drawings
Fig. 1 is the MCW transmission mode structure chart that comprises 4 transmitting antennas, 4 reception antennas;
Fig. 2 is existing feedback principle schematic;
Fig. 3 is a feedback principle schematic of the present invention;
Fig. 4 is the structural representation of feed back control system of the present invention;
The transceiver architecture schematic diagram of the described feed back control system of Fig. 5 use Fig. 4 of the present invention;
Fig. 6 utilizes emulated data that the performance of technical solution of the present invention and prior art is compared the illustrative graph schematic diagram.
Embodiment
With the wireless mobile communications mimo system is example, establish this system and comprise 4 transmitting antennas and 4 reception antennas, the principle of feedback of the present invention as shown in Figure 3, for reducing since the time channel that the becomes feedback that causes the inaccuracy of CQI of each antenna, at t
0Constantly, the receiving terminal transceiver estimates channel impulse response functional value H (t according to pilot tone
0), then:
Wherein, h
Ij(t0) represent the channel impulse response function of j transmitting antenna to i reception antenna, because the variation of channel is continuous, can be according to t
0And t
0Channel impulse response function h in the past
Ij(t0), h
Ij(t0-T), h
Ij(t0-2T) ... design suitable predictive filter and predict t
0+ T channel response function h constantly
Ij(t0+T), wherein T is the delay time of CQI/MCS feedback, i.e. receiving terminal and the transmitting terminal time-delay of receiving and sending messages is generally one or more TTI.
The t that receiving terminal obtains according to prediction
0+ T channel response function constantly
h Ij(t0+T), calculating channel impulse response predicted value
H(t
0+ T), and according to
H(t
0+ T) calculate t
0+ T is the signal to noise ratio of each antenna constantly
SINR (j), j is the label of transmitting antenna, obtains according to this prediction at last
SINR (j)The selection correspondence
MCS (j)Index, and with each antenna
MCS (j)The identification information of index respective antenna feeds back to transmitting terminal together.
Suppose that delay of feedback T remains unchanged (in fact the variation of delay of feedback T is very little), then feedback information is launched termination after through a delay of feedback T and receives, and transmitting terminal is at t
0+ T applied forecasting constantly obtains
MCS (j)Index is determined corresponding
MCS (j)Come each antenna is carried out coded modulation, thereby reduced the influence that the time-delay because of feedback information brings.
Predictive filter can adopt finite response filter, sef-adapting filter etc., because predictive filter is not can both effectively estimate to predict t in all cases
0+ T channel constantly, in the time of such as user's high-speed motion, channel variation is too fast, even adopt prediction, also can't effectively follow the tracks of the variation of channel.At this moment feeding back channel state information is nonsensical, is more suitable for adopting the control mode of open loop.In the control mode of open loop, transmitting terminal adopts the lower MCS of speed, does not need the real time information of channel status.Therefore, can periodically adjudicate the situation of change of channel, whether decision adopts closed-loop control at next cycle according to court verdict then.
A kind of decision method is that the difference of the signal to noise ratio detected value of all adjacent two TTI and corresponding empirical value are made comparisons, when all differences during all greater than described empirical value, judge that the channel state variations amplitude exceeds setting range, then should adopt the control mode of open loop in the next one judgement cycle, not need to predict; Otherwise judgement channel state variations amplitude then should be adjudicated the control mode of the employing closed loop in cycle at the next one in setting range.
Under the situation of determining the employing closed loop, also needing to differentiate is to adopt the feedback measured value, still adopts the feedback forecasting value.Because, when adopting prediction, might be because that filter coefficient is selected be improper, perhaps adaptive filter coefficient factor such as is not restrained and is made prediction result effective unlike prediction not.Therefore, determine whether to predict in order to increase the robustness of system, need to differentiate.
A kind of decision method is an error of relatively feeding back currency and the generation of feedback forecasting value, select the less execution feedback of error wherein, because this method is when adjudicating whether feedback forecasting value, precision that can the evaluation prediction filter, therefore preferentially select for use, provide concrete decision method below.
With N TTI as a judgement cycle, for each TTI, respectively according to t
0Moment channel parameter H (t
0), t
0+ T predicted value constantly
H(t
0+ T) and t
0+ T measured value H (t constantly
0+ T) calculate corresponding SINR (t
0),
SINR(t
0+ T), SINR (t
0+ T), calculate:
diff(t
0+T)＝|SINR(t
0)-SINR(t
0+T)|
Here, diff (t
0+ T) can be considered to feed back without the prediction t
0Currency constantly is with respect to t
0Error between the+T measured value constantly.
diff(t
0+T)＝|
SINR(t
0+T)-SINR(t
0+T)|
Here,
Diff(t
0+ T) can be considered to feed back by t
0And t
0The t that value prediction in the past obtains
0+ T predicted value constantly is with respect to t
0Error between the+T measured value constantly, i.e. predicated error.
If M=diff is (t
0+ T)-
Diff(t
0+ T)
M is the comparison value of the value of feedback error of feedback currency and two kinds of schemes generations of feedback forecasting value.When M less than 0 the time, illustrate that the feedback forecasting value has bigger error than the feedback currency, the scheme of feedback forecasting value is come well not as the scheme of feedback currency.Otherwise M is greater than 0, and the error of then explanation feedback currency is bigger, adopts the scheme of feedback forecasting value relatively good.
In real system, feed back the scheme of currency relatively additional complexity is arranged owing to consider the scheme of feedback forecasting value.Therefore when both performances are suitable, select the scheme of feedback currency.In order to realize this function, can set one greater than zero threshold value to M, be made as M
0, M
0Value can rule of thumb be worth definite.Such as, can get M
0=0.1*diff (t
0+ T), wherein * is a multiplication sign.
When M greater than M
0The time, the scheme of feedback forecasting value is better than feeding back the scheme of currency; M is less than M
0The time, the scheme performance of feedback forecasting value is not ideal enough, then can attempt changing the predictive filter coefficient or not use predictive filter.
In a judgement cycle, promptly in N TTI, if the M value that adopts certain group filter coefficient prediction to obtain has K time greater than M
0, then use this filter to predict at next cycle.Otherwise, if do not have filter to satisfy above-mentioned condition in N TTI, then in the next cycle, do not predict, and adopt the scheme of feeding back currency.Wherein, the value of K is provided by experience, and span is less than N, greater than 0.Get 11 as N, K can get 8.
Predictive filter can adopt finite response filter, sef-adapting filter etc.For further improving precision of prediction, when using the finite response filter, can one group of preferred filter coefficient be set at receiving terminal, and in the leading decision cycle, predicated error to each filter in this group filter is assessed, and selects to make the filter coefficient of predicated error minimum.If this filter satisfies M value K time in a judgement cycle greater than M
0Condition, then in the next one judgement cycle, use this filter as predictive filter.When using sef-adapting filter, progressively adjust the coefficient of sef-adapting filter according to the predicated error of each TTI correspondence in the leading decision cycle, reduce the predicated error of sef-adapting filter.
For example, when adopting 3 rank finite response rate ripple devices, establish h
Ij(t
0+ T)=a
0h
Ij(t
0)+a
1h
Ij(t
0-T)+a
2h
Ij(t
0-2T), and wherein, a
0, a
1, a
2Be the coefficient of filter, the coefficient of the one group of filter that sets in advance is through preferred, as shown in table 1 below:
The preferred bank of filters of table 1
| Label | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| a 0 | 3 | 2.99 | 2.95 | 2.78 | 2.52 | 2.09 | 1.90 | 1.69 | 1.48 | 1.27 | 1.05 | 0.65 | 0.38 | 0.09 |
| a 1 | -3 | -2.99 | -2.94 | -2.75 | -2.47 | -2.02 | -1.83 | -1.63 | -1.43 | -1.23 | -1.05 | -0.7 | -0.49 | -0.25 |
| a 2 | 1 | 1 | 0.99 | 0.97 | 0.93 | 0.86 | 0.82 | 0.79 | 0.75 | 0.70 | 0.65 | 0.65 | 0.45 | 0.32 |
In the table 1, first row of each row is labels of filter.Label is big more, the portable terminal of the corresponding suitable more high-speed motion of filter, 3 coefficients of a filter of 2-4 behavior.Such as label is that 1 filter is: [a
0, a
1, a
2]=[3 ,-3,1]; Label is that 9 filter is: [a
0, a
1, a
2]=[1.48 ,-1.43,0.75].Use filter 1 when user movement speed is low; Use filter 9 when movement velocity is higher.Above bank of filters can also be screened minimizing as requested.
Each TTI in the leading decision cycle calculates respectively each filter
Diff(t
0+ T, k), wherein k is the label of filter, and for each filter is provided with counter counter (k), then with a group of each TTI correspondence
Diff(t
0+ T, k) in, the counter counter (k) of the filter of minimum value correspondence increases by 1, after N the TTI, the filter of getting counter (k) maximum is the optimum prediction filter the most.If the M value of this filter K time is greater than M
0, then in the next one judgement cycle, adopt this optimum prediction filter to predict and the predicted value correspondence
The MCS indexFeed back to transmitting terminal.
Again for example, when adopting sef-adapting filter, can use LMS (lowest mean square) sef-adapting filter or RLS (recurrence least square) sef-adapting filter etc.In a judgement cycle, utilize t
0And t
0+ T measured value is constantly trained this filter.After this filter was restrained in a judgement cycle, the M value of acquisition satisfied K time greater than M
0The time, then in the next one judgement cycle, adopt this sef-adapting filter.
Set up and/or in first judgement cycle of restarting to predict, can directly feed back the actual detected value in Traffic Channel, also can adopt the predictive filter of acquiescence to predict.
Time delay T is the integral multiple of TTI.Minimum is 1 TTI, and promptly the CQI of current TTI feedback is used at next TTI.The size of T and the speed of feedback are inversely proportional to, and can judge the size of T by detecting feedback velocity.Usually require T to be no more than 3 TTI, because excessive time-delay makes that the CQI of feedback is unavailable.
As shown in Figure 4, the feed back control system of realizing feedback of the present invention comprises:
The channel status detection module is used to detect the channel status of current TTI or prediction and current TTI and sets channel status after the time delay apart;
The feedback Executive Module connects described channel status detection module, is used for according to the channel status testing result or predicts the outcome determining corresponding indication information, and generate feedback information according to this indication information.
Described feed back control system also comprises: predictive filter is selected module, connects described channel status detection module, is used for periodically selecting suitable predictive filter and exporting corresponding control information according to selection result to described channel status detection module.
Described FEEDBACK CONTROL also comprises:
First memory module connects described predictive filter and selects module, is used to store the parameter information of predictive filter;
Second memory module connects described feedback Executive Module, is used for the mapping table of memory channel state and indication information.
Described feed back control system also comprises:
The time delay detection module connects described channel status detection module, is used for periodically detecting described setting time delay and notifying described channel status detection module with testing result.
As shown in Figure 5, a kind of transceiver of application drawing 4 described feed back control systems comprises the transceiver module that is used to receive and send messages, and also comprises feed back control system, and this feed back control system comprises:
The channel status detection module is used to detect the channel status of current TTI or prediction and current TTI and sets channel status after the time delay apart;
The feedback Executive Module, be connected between described channel status detection module and the transceiver module, be used for according to the channel status testing result or predict the outcome determining corresponding indication information, and generate feedback information, then feedback information is sent by described transceiver module according to this indication information.
Described feed back control system also comprises:
Predictive filter is selected module, connects described channel status detection module, is used for periodically selecting suitable predictive filter and exporting corresponding control information according to selection result to described channel status detection module.
Described feed back control system also comprises:
First memory module connects described predictive filter and selects module, is used to store the parameter information of predictive filter;
Second memory module connects described feedback Executive Module, is used for the mapping table of memory channel state and indication information.
Described feed back control system also comprises:
The time delay detection module is connected between described channel status detection module and the transceiver module, is used for periodically detecting described setting time delay and notifying described channel status detection module with testing result.
MCS through prediction can reduce the influence of time varying channel to the CQI of feedback to a certain extent, describes with emulated data, as shown in Figure 6, is without loss of generality, and the number of degrees of the MCS that wherein gets is 32 grades.Be that index from 0 to 31, transmitting antenna and reception antenna all are 4 in the MCS table.
X direction FdT, i.e. Fd*T, wherein Fd is a Doppler frequency shift, the expression moving velocity of terminal, translational speed is fast more, and Fd is big more.T is a feedback delay, gets 1 TTI here.FdT is big more, and moving velocity of terminal is also big more.Y direction is a power system capacity.
Among Fig. 6, what two lines of rhombus dotted line and circle dotted line were represented is the capacity that feeds back under the undelayed perfect condition, uses as the reference curve.Wherein the rhombus dotted line is to adopt MMSE detection, circle dotted line to adopt ZF to detect.The triangle dotted line and * number solid line is the curve that feedback the time does not adopt prediction.Wherein * and number solid line employing MMSE detection, the triangle dotted line adopts ZF to detect.Five-pointed star solid line and * dotted line are the curves that adopts the Forecasting Methodology among the present invention to obtain.The former is that MMSE detects, and the latter is that ZF detects.
Can see that in the set of curves that MMSE detects, the performance of the curve (five-pointed star solid line) of employing the inventive method prediction will be significantly better than the curve of not predicting (* number solid line).Particularly the speed of portable terminal is in the medium speed, and promptly FdT is between 0.02 to 0.2, the time.The set of curves (* dotted line and triangle dotted line) that detects for ZF has same rule.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (10)
1, the feedback in a kind of wireless communication system is characterized in that, comprises the steps:
Receiving terminal is according to the first judgement cycle of setting, the measurement error that predicated error that the feedback forecasting value of each TTI correspondence produces in the more current first judgement cycle and feedback measured value produce, when whole predicated errors or the predicated error of setting number during less than measurement error, each TTI in the next one judgement cycle, the finite response filter prediction that utilizes in the current first judgement cycle optimum of determining and current Transmission Time Interval TTI after a transmit after receive time delay channel status and described channel state prediction result's indication information fed back to transmitting terminal, described transmit after receive time delay is the time interval of receiving and sending messages between transmitting terminal and the receiving terminal; Otherwise the indication information of each the TTI feedback channel state-detection result in next judgement cycle;
Receiving terminal in the current first judgement cycle, calculates the predicated error of each finite response filter simultaneously, and selects the finite response filter of described optimum according to predicated error according to the finite response filter of one group that is provided with different coefficients.
2, the method of claim 1, it is characterized in that, the system of selection of described optimum finite response filter is: for the finite response filter in one group of predicated error of same TTI, the finite response filter of record minimal error correspondence, to work as the minimal error occurrence number is maximum in the leading decision cycle finite response filter at last as optimum finite response filter, if the corresponding two or more finite response filters of minimal error occurrence number are then selected or more at random according to selecting the wherein optimum finite response filter of a conduct of predicated error mean value minimum.
3, method as claimed in claim 1 or 2, it is characterized in that, described method also comprises: after receiving terminal and transmitting terminal are set up channel and each TTI in the first first judgement cycle of restarting to predict, utilize preassigned finite response filter prediction and current Transmission Time Interval TTI after a transmit after receive time delay channel status and described channel state prediction result's indication information fed back to transmitting terminal; Perhaps direct feedback channel state-detection result's indication information.
4, the method for claim 1 is characterized in that, described method also comprises:
Receiving terminal is according to the described first judgement cycle, periodically detects and upgrades described transmit after receive time delay; Perhaps
Receiving terminal is according to the second judgement cycle of setting, and periodically detects and upgrades described transmit after receive time delay.
As claim 1,2 or 4 described methods, it is characterized in that 5, described indication information is meant according to the modulation coding mode MCS index that predicts the outcome or testing result is determined.
6, method as claimed in claim 5, it is characterized in that, the preparation method of described modulation coding mode MCS index comprises: receiving terminal utilizes the impulse response value of the channel after transmit after receive time delay of the current Transmission Time Interval TTI of finite response filter Prediction distance, calculate the signal to noise ratio of antenna then according to this impulse response value, determine corresponding MCS index according to the signal to noise ratio of antenna again.
7, method as claimed in claim 6, it is characterized in that, when being used for the multiple-input and multiple-output mimo system, calculate the signal to noise ratio of each antenna respectively and determine corresponding MCS index according to the impulse response value, then the MCS index of each antenna correspondence and the identification information of this antenna are all fed back to transmitting terminal.
8, the method for claim 1 is characterized in that, described finite response filter is 3 rank finite response filters.
9, a kind of feed back control system is characterized in that, comprising:
The channel status detection module, be used to detect the channel status of current TTI or prediction and current TTI and set channel status after the time delay apart, specifically comprise: according to the first judgement cycle of setting, the measurement error that predicated error that the feedback forecasting value of each TTI correspondence produces in the more current first judgement cycle and feedback measured value produce, when whole predicated errors or the predicated error of setting number during less than measurement error, each TTI in the next one judgement cycle, the finite response filter prediction that utilizes in the current first judgement cycle optimum of determining and the channel status of current Transmission Time Interval TTI after a transmit after receive time delay feed back to transmitting terminal with described channel state prediction result's indication information, and described transmit after receive time delay is the time interval of receiving and sending messages between transmitting terminal and the receiving terminal; Otherwise the indication information of each the TTI feedback channel state-detection result by described feedback Executive Module in next judgement cycle;
The feedback Executive Module connects described channel status detection module, is used for according to the channel status testing result or predicts the outcome determining corresponding indication information, and generate feedback information according to this indication information;
Predictive filter is selected module, connect described channel status detection module, be used for periodically selecting suitable predictive filter and exporting corresponding control information to described channel status detection module according to selection result, specifically comprise: according to the finite response filter of one group that is provided with different coefficients, in the current first judgement cycle, calculate the predicated error of each finite response filter simultaneously, and select the finite response filter of described optimum according to predicated error.
10, a kind of transceiver comprises the transceiver module that is used to receive and send messages, and it is characterized in that, also comprises: feed back control system, and described feed back control system specifically comprises:
The channel status detection module, be used to detect the channel status of current TTI or prediction and current TTI and set channel status after the time delay apart, specifically comprise: according to the first judgement cycle of setting, the measurement error that predicated error that the feedback forecasting value of each TTI correspondence produces in the more current first judgement cycle and feedback measured value produce, when whole predicated errors or the predicated error of setting number during less than measurement error, each TTI in the next one judgement cycle, the finite response filter prediction that utilizes in the current first judgement cycle optimum of determining and the channel status of current Transmission Time Interval TTI after a transmit after receive time delay feed back to transmitting terminal with described channel state prediction result's indication information, and described transmit after receive time delay is the time interval of receiving and sending messages between transmitting terminal and the receiving terminal; Otherwise the indication information of each the TTI feedback channel state-detection result by described feedback Executive Module in next judgement cycle;
The feedback Executive Module, connect between described channel status detection module and the transceiver module, be used for according to the channel status testing result or predict the outcome determining corresponding indication information, and generate feedback information, then described feedback information is sent by described transceiver module according to this indication information;
Predictive filter is selected module, connect described channel status detection module, be used for periodically selecting suitable predictive filter and exporting corresponding control information to described channel status detection module according to selection result, specifically comprise: according to the finite response filter of one group that is provided with different coefficients, in the current first judgement cycle, calculate the predicated error of each finite response filter simultaneously, and select the finite response filter of described optimum according to predicated error.
Priority Applications (1)
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| US8457066B2 (en) * | 2008-03-21 | 2013-06-04 | Interdigital Patent Holdings, Inc. | Method and apparatus of feedback signaling |
| KR101441500B1 (en) | 2008-06-20 | 2014-11-04 | 삼성전자주식회사 | Apparatus and method for transmission of sounding reference signal in uplink wireless communication systems with multiple antennas and sounding reference signal hopping |
| CN101630967B (en) * | 2009-08-12 | 2015-06-03 | 中兴通讯股份有限公司 | Method for obtaining channel quality in multi-input multi-output system |
| CN102447535B (en) * | 2010-09-30 | 2015-04-01 | 上海贝尔股份有限公司 | Channel information feedback method and equipment thereof |
| CN102468913A (en) * | 2010-11-10 | 2012-05-23 | 上海贝尔股份有限公司 | Signaling information feedback method and device in multi-user multi-input and multi-output system |
| CN107733580B (en) * | 2016-08-12 | 2020-03-03 | 电信科学技术研究院 | Transmission method, device and system of feedback information |
| CN108153173B (en) * | 2017-12-25 | 2020-11-06 | 深圳市闪联信息技术有限公司 | Method for processing equipment state information by controller |
| WO2021134731A1 (en) * | 2019-12-31 | 2021-07-08 | 华为技术有限公司 | Channel information feedback method and communication apparatus |
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