CN101754343A - Channel transmission quality feedback method, system and device - Google Patents

Channel transmission quality feedback method, system and device Download PDF

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Publication number
CN101754343A
CN101754343A CN200810183549A CN200810183549A CN101754343A CN 101754343 A CN101754343 A CN 101754343A CN 200810183549 A CN200810183549 A CN 200810183549A CN 200810183549 A CN200810183549 A CN 200810183549A CN 101754343 A CN101754343 A CN 101754343A
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noise ratio
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vector
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CN101754343B (en
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王光健
曾雁星
任光亮
孙垂强
张哲�
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Huawei Technologies Co Ltd
Xidian University
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Huawei Technologies Co Ltd
Xidian University
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Abstract

The invention discloses a channel transmission quality feedback method, a system and a device. The channel transmission quality feedback method comprises the following steps: signal-to-noise ratio of a sub-channel is selected according to a threshold to form a signal-to-noise ratio sub-vector, and the formed signal-to-noise ratio sub-vector is undertaken the non-linear conversion; the signal-to-noise ratio sub-sector after the non-linear conversion is polynomially fitted to obtain a feedback parameter, and the feedback parameter is transmitted and is used for ensuring that a transmitting end obtains the signal-to-noise ratio sub-vector so as to determine the channel transmission quality. Through the above method, the transmitting end utilizes the signal-to-noise ratio sub-vector to predict the variation of the signal-to-noise ratio sub-vector when different powers are adopted to improve factors and to predict the effective signal-to-noise ratio corresponding to different coding modulation ways as well as the block error rate corresponding to the signal-to-noise ratio sub-vector, so the quantity of the feedback parameters can be reduced, and the prediction precision of the channel transmission quality can be improved.

Description

A kind of feedback method of channel transmission quality, system and equipment
Technical field
The embodiment of the invention relates to communication technical field, particularly a kind of feedback method of channel transmission quality, system and equipment.
Background technology
OFDM (Orthogonal Frequency Division Multiplexing, OFDM) system, MIMO behind the linear equalization (Multiple Input Multiple Output, multiple-input and multiple-output) system and MIMO-OFDM system all can be equivalent for comprising a plurality of parallel narrowband subchannels transmission systems, when system channel changes slowly or during a data transmitted in packets when constant substantially, in order to obtain BLER (the Block Error Ratio of multiple parallel subchannel system under the different coding modulation easily, Block Error Rate), prior art has proposed EESM (Exponential Effective Signal to Noise RatioMapping respectively, the mapping of index effective signal-to-noise ratio), MI-ESM (Mutual Information-Effective SIRMapping, the mutual information effective signal-to-noise ratio shines upon) and MMIB methods such as (Mean Mutual Information per Bit, average every bit mutual information mappings).These effective signal-to-noise ratio mapping methods are by being mapped as an effective snr value to the signal to noise ratio vector of parallel sub-channels, and then find the estimated value of BLER from a basic AWGN (Additive White Gaussian Noise, additive white Gaussian noise) the link level performance curve with this effective snr value.
The parameter that characterizes multiple parallel subchannel system has been simplified in the introducing of effective signal-to-noise ratio mapping method greatly, adding with average calculating operation in the effective signal-to-noise ratio mapping makes the corresponding multiple parallel sub-channels quality state of a numerical value of effective signal-to-noise ratio, promptly effective signal-to-noise ratio can't accurately characterize out the state of multiple parallel subchannel quality, but the different effective signal-to-noise ratio of a plurality of parameters of same channel can characterize the parallel sub-channels quality state.And in EESM, MI-ESM and the MMIB method, the calculating of effective signal-to-noise ratio all needs known current subchannel signal to noise ratio state.In effective signal-to-noise ratio calculates, the sequence independence of signal to noise ratio in the numerical value of effective signal-to-noise ratio and the vector, the component of different numerical value is to the contribution difference of effective signal-to-noise ratio in the signal to noise ratio vector, numerical value is less to be that the lower subchannel contribution of signal to noise ratio is big, and the higher subchannel of signal to noise ratio is contributed little, when the signal to noise ratio numerical value in a certain subchannel is very big, in calculating even can be left in the basket.Thereby decision effective signal-to-noise ratio size mainly is the less subchannel of signal to noise ratio numerical value, and the signal to noise ratio of this part also can accurately characterize out the quality state of parallel sub-channels.
For effective transmission multiple parallel subchannel quality state, and overcome the problem that linear fit exists, prior art one has proposed the low-feedback scheme based on the Link Quality Reports of EESM technology.Prior art one has been utilized the relation between effective signal-to-noise ratio and the β, by the method for curve fit, with the parameter after the match as feedback information.Because β can change in the larger context, and the scope of linear approximation is limited, therefore adopt the method for linear fit can bring bigger predicated error, nonlinear fitting is by increasing a parameter, improved the fitting precision of effective signal-to-noise ratio to a certain extent to β, but precision is still not high enough, and β predicated error is not different simultaneously with the power ascension factor, predicated error will make the Block Error Rate with precipitous curve bigger deviation occur.。
In order to adopt the better power bit distribution algorithm of performance at transmitting terminal, prior art two has proposed to feed back the method for each sub-carrier signal-noise ratio.The shape that prior art two changes with sequence number from the parallel sub-channels signal to noise ratio, the changes shape by the match signal to noise ratio comes transmission channel quality.But prior art two does not take into full account each parallel sub-channels signal to noise ratio has different influences to the total transmission quality of system, thereby the signal to noise ratio sequence that prior art two recovers has bigger error aspect the sign channel transmission quality.Compare with prior art one, prior art two is also transmitted the original sequence number of each ordering back subchannel except the transmission fitting coefficient, and its feedback information volume is big.In the very many systems such as MIMO-OFDM of parallel sub-channels quantity, prior art two computational complexity height, the feedback data amount is big, and the signal to noise ratio vector that recovers error aspect the characterization system transmission quality is also bigger.
Summary of the invention
The embodiment of the invention provides a kind of feedback method, system and equipment of channel transmission quality, to reduce the quantity of feedback parameter, improves the precision of prediction of channel transmission quality.
The embodiment of the invention provides a kind of feedback method of channel transmission quality on the one hand, comprising:
According to thresholding chooser channel signal to noise ratio, constitute the signal to noise ratio sub-vector, the signal to noise ratio sub-vector that constitutes is carried out nonlinear transformation;
Signal to noise ratio sub-vector after the nonlinear transformation is carried out fitting of a polynomial, obtain feedback parameter, and send described feedback parameter, described feedback parameter is used to make transmitting terminal to obtain the signal to noise ratio sub-vector, determines channel transmission quality.
On the other hand, the embodiment of the invention provides a kind of method of definite channel transmission quality, comprising:
Obtain the feedback parameter that receiving terminal sends;
According to described feedback parameter, make up the vector corresponding with transmitting terminal according to polynomial fitting;
The vector that makes up is carried out the inverse transformation of nonlinear transformation, obtain the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels;
According to described signal to noise ratio sub-vector, determine channel transmission quality.
On the one hand, the embodiment of the invention provides a kind of system of definite channel transmission quality, comprising again:
Receiving device is used for according to thresholding chooser channel signal to noise ratio, constitutes the signal to noise ratio sub-vector, and the signal to noise ratio sub-vector that constitutes is carried out nonlinear transformation; Signal to noise ratio sub-vector after the nonlinear transformation is carried out fitting of a polynomial, obtain feedback parameter, and send described feedback parameter;
Sending ending equipment is used to obtain the feedback parameter that described receiving device sends, and according to described feedback parameter, makes up the vector corresponding with described sending ending equipment according to polynomial fitting; The vector that makes up is carried out the inverse transformation of nonlinear transformation, obtain the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels,, determine channel transmission quality according to described signal to noise ratio sub-vector.
On the one hand, the embodiment of the invention provides a kind of receiving device, comprising again:
Select module, be used for, constitute the signal to noise ratio sub-vector according to thresholding chooser channel signal to noise ratio;
Conversion module is used for the signal to noise ratio sub-vector that described selection module constitutes is carried out nonlinear transformation;
Fitting module is used for the signal to noise ratio sub-vector after the described conversion module conversion is carried out fitting of a polynomial, obtains feedback parameter;
Sending module is used for sending the feedback parameter that described fitting module obtains to sending ending equipment.
On the one hand, the embodiment of the invention provides a kind of sending ending equipment, comprising again:
Receiver module is used to obtain the feedback parameter that receiving device sends;
Make up module, be used for feedback parameter, make up the vector corresponding with described sending ending equipment according to polynomial fitting according to described receiver module acquisition;
Inverse transform module is used for the vector of described structure module construction is carried out the inverse transformation of nonlinear transformation, obtains the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels;
The transmission quality determination module is used for the signal to noise ratio sub-vector according to described inverse transform module acquisition, determines channel transmission quality.
Compared with prior art, the embodiment of the invention has the following advantages: by the embodiment of the invention, receiving terminal constitutes the signal to noise ratio sub-vector according to thresholding chooser channel signal to noise ratio in the subchannel signal to noise ratio, obtain feedback parameter according to this signal to noise ratio sub-vector, reduced the quantity of feedback parameter.Transmitting terminal can recover the signal to noise ratio sub-vector that characterizes each parallel sub-channels transmission quality according to this feedback parameter, utilize this signal to noise ratio sub-vector can dope the variation of adopting signal to noise ratio sub-vector under the different capacity lifting factor, dope the effective signal-to-noise ratio of different coding modulation system correspondence, and the Block Error Rate corresponding with the signal to noise ratio sub-vector, improved the precision of prediction of channel transmission quality.
Description of drawings
In order to be illustrated more clearly in the technical scheme of the embodiment of the invention, the accompanying drawing of required use is done to introduce simply in will describing embodiment below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of the feedback method of embodiment of the invention channel transmission quality;
Fig. 2 is the flow chart of embodiment of the invention transmission feedback parameter;
Fig. 3 recovers the flow chart of signal to noise ratio sub-vector for the embodiment of the invention;
Fig. 4 is the structure chart of the system of a kind of definite channel transmission quality of the embodiment of the invention;
Fig. 5 is the structure chart of a kind of receiving device of the embodiment of the invention;
Fig. 6 is the structure chart of the another kind of receiving device of the embodiment of the invention;
Fig. 7 is the structure chart of a kind of sending ending equipment of the embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is a part of embodiment of the present invention, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
The embodiment of the invention provides a kind of feedback method of channel transmission quality, towards OFDM, system such as MIMO and MIMO-OFDM, at receiving terminal the signal to noise ratio in each parallel sub-channels is sorted and to constitute signal to noise ratio sub-vector with monotonicity, from this signal to noise ratio sub-vector, select and characterize and the closely-related signal to noise ratio sub-vector of channel transmission quality, by signal to noise ratio sub-vector companding and the process of fitting treatment of selecting formed the parameter that characterizes instantaneous channel transmission quality, these parameters are fed back to transmitting terminal, according to the conversion of receiving terminal contrary, carry out monotonicity again and detect and handle the signal to noise ratio sub-vector that recovers each parallel sub-channels transmission quality of sign, utilize this signal to noise ratio sub-vector to dope the variation of adopting signal to noise ratio sub-vector under the different capacity lifting factor exactly, dope the effective signal-to-noise ratio EESM of different coding modulation system correspondence, parameter such as MI-ESM and MMIB, and the Block Error Rate corresponding (BLER) with the signal to noise ratio sub-vector.The feedback parameter that the embodiment of the invention forms is simple, computational complexity is low, the information of utilizing feedback parameter to recover is general, measurable dissimilar effective signal-to-noise ratio, the precision of prediction height, and can accurately provide the state of instantaneous parallel sub-channels transmission quality, the reliability of further utilizing technology for self-adaptively transmitting to improve throughput and transmission for systems such as OFDM, MIMO and MIMO-OFDM provides condition.
The embodiment of the invention provides a kind of feedback method of channel transmission quality, receiving terminal sorts to the signal to noise ratio in each parallel sub-channels, select and characterize and the closely-related signal to noise ratio of channel transmission quality, constitute the signal to noise ratio sub-vector, by the signal to noise ratio sub-vector that constitutes being carried out form the feedback parameter that characterizes instantaneous channel transmission quality after companding and the process of fitting treatment, this feedback parameter is fed back to transmitting terminal, according to receiving terminal in the processing of contrary, recover the signal to noise ratio that characterizes each parallel sub-channels transmission quality, utilize this signal to noise ratio sub-vector can dope the variation of adopting signal to noise ratio sub-vector under the different capacity lifting factor exactly, dope the effective signal-to-noise ratio EESM of different coding modulation system correspondence, parameter such as MI-ESM and MMIB, and the Block Error Rate corresponding (BLER) with the signal to noise ratio sub-vector.
As shown in Figure 1, the flow chart for the feedback method of embodiment of the invention channel transmission quality specifically comprises:
Step S101 according to thresholding chooser channel signal to noise ratio, constitutes the signal to noise ratio sub-vector.
In the embodiment of the invention, receiving terminal can be earlier sorts to the signal to noise ratio of a plurality of parallel sub-channels.Be specifically as follows:
Because effective signal-to-noise ratio SNR EffCalculating and each subchannel signal to noise ratio γ=[γ 1, γ 2..., γ N] TPut in order irrelevantly, for the ease of subsequent treatment, can be expressed as with the signal to noise ratio of a plurality of parallel sub-channels according to the conversion of sorting of the numerical values recited of each component:
γ′＝S(γ) (1)
Wherein, γ '=[γ 1', γ 2' ..., γ N'] T, γ 1'≤γ 2'≤...≤γ N', S () expression ordering conversion from small to large.But the embodiment of the invention is not limited thereto, and also the numerical value of signal to noise ratio sub-vector according to each component can be sorted from big to small.
Then, select and the closely-related subchannel signal to noise ratio of channel transmission quality in the signal to noise ratio of receiving terminal after ordering, constitute a signal to noise ratio sub-vector.
In frequency-selective channel, each subchannel signal to noise ratio excursion is bigger, bigger snr value is very little to the influence of channel transmission quality, sometimes even can ignore, and the less subchannel signal to noise ratio of numerical value directly influences the size of effective signal-to-noise ratio, has also directly influenced the transmission quality of system.The embodiment of the invention not only can accurately reflect current channel transmission quality only to handling with the signal to noise ratio of the closely-related parton channel of channel transmission quality, can also reduce the complexity of Processing Algorithm greatly.When selecting, select according to the dimension thresholding of signal-noise ratio threshold and sub-vector with the closely-related subchannel signal to noise ratio of channel transmission quality.At first adopt signal-noise ratio threshold γ ThSelect order
G 1 = arg min i { γ i ′ ≥ γ th } - - - ( 2 )
Then with G 1With dimension thresholding G 2Compare, the dimension of definite signal to noise ratio sub-vector of finally choosing is:
G th＝max{G 1，G 2} (3)
Therefore, the new signal to noise ratio sub-vector of formation can be expressed as θ = [ γ 1 ′ , γ 2 ′ , . . . , γ G th ′ ] T .
When less than signal-noise ratio threshold γ ThThe dimension of the signal to noise ratio sub-vector that constituted of subchannel signal to noise ratio less than dimension thresholding G 2The time, receiving terminal can the signal to noise ratio after ordering in according to described dimension thresholding select respective numbers greater than signal-noise ratio threshold γ ThThe subchannel signal to noise ratio, constitute the signal to noise ratio sub-vector, make the dimension of the signal to noise ratio sub-vector that constitutes equal dimension thresholding G 2
The dimension of the signal to noise ratio sub-vector that is constituted when the subchannel signal to noise ratio less than signal-noise ratio threshold is greater than dimension thresholding G 2The time, receiving terminal is selected less than signal-noise ratio threshold γ ThThe subchannel signal to noise ratio, constitute the signal to noise ratio sub-vector, at this moment the dimension of signal to noise ratio sub-vector equals G 1
When selecting the signal to noise ratio sub-vector, signal-noise ratio threshold γ ThSatisfy less than γ ThAll signal to noise ratios the contribution of effective signal-to-noise ratio be far longer than compare γ ThBig signal to noise ratio.Dimension thresholding G 2The general selection numerical value identical with the exponent number of match is to guarantee to recover the precision of signal to noise ratio.
The embodiment of the invention is at definite thresholding G ThThe time, can also only utilize signal-noise ratio threshold to determine to characterize the signal to noise ratio sub-vector of channel transmission quality, by back each component of signal to noise ratio that sorts is determined this thresholding G to the contribution of effective signal-to-noise ratio Th, and with this thresholding G ThSelect the signal to noise ratio sub-vector.
In the embodiment of the invention, thresholding G ThCan also be dimension thresholding G 2, according to dimension thresholding G 2Chooser channel signal to noise ratio in the signal to noise ratio after ordering constitutes the signal to noise ratio sub-vector.
Step S102 carries out nonlinear transformation to the signal to noise ratio sub-vector that constitutes.
To the signal to noise ratio sub-vector Carrying out nonlinear transformation, is in order to reduce the error of the less signal to noise ratio component of numerical value in the later process, to improve the precision that characterizes channel transmission quality information.Nonlinear transformation can be expressed as:
ξ＝f(θ) (4)
Wherein, nonlinear transformation f () adopts companding transform usually, the signal to noise ratio sub-vector after the ordering
Figure G2008101835493D0000072
Carry out companding, promptly less signal to noise ratio is amplified, bigger signal to noise ratio is compressed, thereby improves the performance of small-signal in transmission.The nonlinear transformation of the embodiment of the invention adopts mu-law companding, and its companding function can be expressed as:
y = ln ( 1 + μx ) ln ( 1 + μ ) - - - ( 5 )
In the formula (5), x is the normalization input, and y is normalization output, and μ is the companding parameter, expression companding degree.
Carry out before the nonlinear transformation, need utilize the thresholding γ among the step S102 earlier ThTo the signal to noise ratio sub-vector
Figure G2008101835493D0000081
Carry out normalized.
For above-mentioned nonlinear transformation, except that adopting mu-law companding, can also adopt A-law compandor conversion, logarithmic transformation, based on conversion such as the non-linear companding of the companding transform of error function erf (), piecewise linear approximation or other non-linear compandings.
Step S103 carries out fitting of a polynomial to the signal to noise ratio sub-vector after the nonlinear transformation, obtains feedback parameter, and sends this feedback parameter, and this feedback parameter is used to make transmitting terminal to obtain the signal to noise ratio sub-vector, determines channel transmission quality.
Make the signal to noise ratio sub-vector after the nonlinear transformation be
Figure G2008101835493D0000082
It is carried out fitting of a polynomial, remember that polynomial coefficient is Then
α＝(X TX) -1X Tξ (6)
Wherein, X = 1 1 . . . 1 1 2 . . . 2 G 2 . . . . . . . . . . . . 1 G th . . . G th G 2 .
By fitting of a polynomial, can obtain feedback parameter α = [ α 0 , α 1 , α 2 , . . . , α G 2 ] T .
When carrying out fitting of a polynomial, can adopt the linear least-squares criterion, can also adopt methods such as weighted least-squares criterion, minimum variance criterion.When carrying out fitting of a polynomial, can also adopt linear fit, or the higher order polynomial match.
Above-mentioned flow process only is a kind of implementation of the embodiment of the invention, but the embodiment of the invention is not limited in this, and the order of step S101 and step S102 can be arranged arbitrarily, does not influence the realization of the embodiment of the invention.
In the description of following examples of the present invention, fit to example with quadratic polynomial and describe, at this moment form 3 feedback parameters, respectively with α 0, α 1And α 2Expression.Wherein, α 0, α 1And α 2Be respectively Y-axis intercept, linear dimensions and quadratic parameter.
In order to understand the characteristic of feedback parameter, be under the condition of 5dB, β=1.69 at effective signal-to-noise ratio, the embodiment of the invention different channels realize and the different types of channels condition under to α 0, α 1And α 2Variation carried out Computer Simulation and test.By emulation, the average and the variance of three parameters are as shown in table 1 in ped A channel and ped B channel.
The statistical property of table 1 feedback parameter
Figure G2008101835493D0000091
As can be seen from Table 1, parameter alpha 0, α 1And α 2Rate of change be inequality, α wherein 0Rate of change very fast, and α 1And α 2Pace of change relatively slow, α 1And α 2Average in ped B all greater than among the ped A, show that these two parameters mainly by channel type decision, can characterize the frequency selectivity power of channel.Therefore according to the variation characteristic of feedback parameter, necessity feedback parameter α all at every turn not in concrete reponse system 1And α 2That is to say, be to there is no need feedback parameter α when channel type marked change does not take place 1And α 2.In the embodiment of the invention, earlier with α 1And α 2Be initialized as α ' 1And α ' 2, and receiving terminal and transmitting terminal are all known this initial value.If the α that receiving terminal records in each channel is realized 1And α 2With initial value in the deviation range of allowing, just only need to send a parameter alpha 0If receiving terminal records α 1And α 1Surpass the allowable deviation scope of initial value, receiving terminal will send and have new α ' so 1And α ' 2Message give transmitting terminal.The flow chart of embodiment of the invention transmission feedback parameter adopts the method for the embodiment of the invention can reduce the quantity of feedback parameter widely as shown in Figure 2.Specifically comprise:
Step S201 obtains feedback parameter α by conic fitting 0, α 1And α 2
Step S202 judges above-mentioned feedback parameter α 0, α 1And α 2Previously stored relatively value has or not obvious change, promptly determines the rate of change of each feedback parameter.If α 1And α 2Previously stored relatively value has obvious change, and this illustrates α 1And α 2Change and change fast with channel, then execution in step S203; If α 0Previously stored relatively value does not obviously change, and this illustrates α 0Change slowly with channel, then execution in step S204.
Step S203 sends specified message and changes and fast-changing feedback parameter α to upgrade with channel 1And α 2
Step S204, transmission changes feedback parameter α slowly with channel in the channel quality information of routine 0
Step S205 is with feedback parameter (α 0, α ' 1, α ' 2) transfer to transmitting terminal.
The embodiment of the invention is in transmission during feedback parameter, the fitting of a polynomial parameter alpha 0, α ' 1And α ' 2Transmission, except that adopting above-mentioned transmission plan, can also be earlier to α 0, α ' 1And α ' 2Encode, for example Huffman encoding, Shannon coding, Fano coding, arithmetic coding, Lempel-Ziv coding will transmit after the data behind the coding, and the transmission back obtains fitting coefficient by decoding.The fitting of a polynomial parameter alpha that changes for changing along with the time 0, α ' 1And α ' 2Can also adopt DPCM (Differential Pulse Code Modulation, the differential pulse code modulation), ADPCM (Adaptive Differential Pulse Code Modulation, adaptive difference pulse code is modulated) or DM (Delta Modulation, delta modulation) transmission reduced the feedback data amount after mode was encoded.
Feedback parameter is by the transmission of feedback channel, and transmitting terminal receives the parameter that the receiving terminal feedback is come, and utilizes flow process that these feedback parameters recover the signal to noise ratio sub-vector that characterizes channel transmission quality as shown in Figure 3, specifically comprises:
Step S301 obtains the feedback parameter that receiving terminal sends.
Step S302 is according to feedback parameter α '=[α 0, α ' 1, α ' 2] T, make up the vector corresponding with transmitting terminal according to polynomial fitting.Be specifically as follows:
With feedback parameter α '=[α 0, α ' 1, α ' 2] TSequence number be independent variable, according to polynomial fitting make up the channel signal to noise ratio sub-vector ξ ' corresponding with transmitting terminal=[ξ ' 1, ξ ' 2..., ξ ' N], each component that makes up vector can be expressed as:
ξ′ i＝α 0+α′ 1·i+α′ 2·i 2，i＝1，2，...，N (7)
Step S303 carries out the inverse transformation of nonlinear transformation to the vector that makes up, and obtains the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels.
After obtaining ξ ', transmitting terminal adopts a f ' of inverse transformation mutually () with the middle nonlinear transformation f () of formula (4) to recover the subchannel signal to noise ratio, can be expressed as:
ξ″＝f′(ξ′) (8)
Therefore the embodiment of the invention should carry out the μ rule and separate the companding conversion owing to adopted mu-law companding when forming feedback information when recovering feedback information, can be expressed as:
y = exp ( x · ln ( 1 + μ ) ) - 1 μ - - - ( 9 )
Because receiving terminal has carried out normalized to the subchannel signal to noise ratio, will be at this to the subchannel signal to noise ratio after separating companding with taking advantage of normalization coefficient γ Th, recover concrete numerical value.
Step S304 detects and handles the subchannel signal to noise ratio, reduces to adopt the coefficient of fitting of a polynomial to recover the error of data.
Because the effect of ordering, the signal to noise ratio sub-vector that receiving terminal participates in process of fitting treatment has monotonicity.Owing to employing when making up is the fitting coefficient of signal to noise ratio sub-vector, bigger error can appear in some the subchannel signal to noise ratios subchannel that especially numerical value is bigger behind the structure, signal to noise ratio sub-vector behind the structure may not possess monotonicity, therefore need detect and handle the signal to noise ratio sub-vector.Determine that by detecting variation tendency does not satisfy the partial sequence that monotonicity requires, substitute the sequence that does not satisfy monotonicity according to linearity or nonlinear change formation sequence, forming length is the number of subchannel that system comprises and the sequence with monotone variation.
Step S305 according to the signal to noise ratio sub-vector that recovers, determines channel transmission quality.
The signal to noise ratio sub-vector ξ that formula (8) is recovered " the substitution following formula can obtain:
SNR eff = - β · ( ln 1 N · Σ i = 1 N exp ( - B ξ i ′ ′ β ) ) - - - ( 10 )
In the formula (10), B is the system power lifting factor.By changing the numerical value of β and B, can dope the SNR under different coding modulation system and the different capacity lifting factor Eff, by this effective signal-to-noise ratio, transmitter can be fit to the modulation coding mode of current channel condition and transmission quality requirements according to the FER under the AWGN condition (Frame Error Ratio, frame error rate) Curve selection.Also the signal to noise ratio sub-vector ξ that recovers " in the formula of other effective signal-to-noise ratio of substitution, can be obtained corresponding effective signal-to-noise ratio and corresponding Block Error Rate (BLER).
The embodiment of the invention after choosing the signal to noise ratio sub-vector of channel transmission quality, can be carried out extracted at equal intervals to it earlier when forming feedback information, constituting length is the signal to noise ratio sub-vector of N/p, p=1, and 2 ..., N/2.Again by the method for interpolation, forming length is the sequence of the number of subchannel that system comprises when recovering feedback information.
The signal to noise ratio sub-vector that the embodiment of the invention recovers can also be used to calculate the application of the known subchannel signal to noise ratios of other needs such as MI-ESM, MMIB except that being used to calculate the EESM.
The embodiment of the invention has proposed a kind of feedback method of channel transmission quality, select and characterize and the closely-related signal to noise ratio sub-vector of channel transmission quality, by characterizing three parameters of instantaneous channel transmission quality to forming after selected signal to noise ratio sub-vector companding that goes out and the process of fitting treatment, these three parameters are fed back to the base station, according to travelling carriage in the processing of contrary, recover the signal to noise ratio sub-vector that characterizes each parallel sub-channels transmission quality, utilize this signal to noise ratio sub-vector can dope the variation of adopting signal to noise ratio sub-vector under the different capacity lifting factor exactly, dope the effective signal-to-noise ratio EESM of different coding modulation system correspondence, parameter such as MI-ESM and MMIB, and the Block Error Rate corresponding (BLER) with the signal to noise ratio sub-vector.
Feedback information in the embodiment of the invention is the signal to noise ratio sub-vector that characterizes the instantaneous transmission quality state of channel.The feedback information quantity of utilizing the method for the embodiment of the invention to form is few, and the needed processing of travelling carriage is simple, and complexity is low; The base station utilizes the feedback information of receiving can recover the signal to noise ratio sub-vector that characterizes the instantaneous transmission quality state of channel, utilize this vector measurable under different coding modulation system and power ascension various effective signal-to-noise ratio form, and the embodiment of the invention can provide more high-precision effective signal-to-noise ratio prediction, can be applied to engineering practice.
As shown in Figure 4, the structure chart for the system of a kind of definite channel transmission quality of the embodiment of the invention comprises:
Receiving device 41 is used for according to thresholding chooser channel signal to noise ratio, constitutes the signal to noise ratio sub-vector, and the signal to noise ratio sub-vector that constitutes is carried out nonlinear transformation; Signal to noise ratio sub-vector after the nonlinear transformation is carried out fitting of a polynomial, obtain feedback parameter, and send this feedback parameter;
Sending ending equipment 42 is used to obtain the feedback parameter that receiving device 41 sends, and according to this feedback parameter, makes up the vector corresponding with sending ending equipment 42 according to polynomial fitting; The vector that makes up is carried out the inverse transformation of nonlinear transformation, obtain the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels,, determine channel transmission quality according to this signal to noise ratio sub-vector.
As shown in Figure 5, the structure chart for a kind of receiving device of the embodiment of the invention comprises:
Select module 411, be used for, constitute the signal to noise ratio sub-vector according to thresholding chooser channel signal to noise ratio;
Conversion module 412 is used for the signal to noise ratio sub-vector of selecting module 411 to constitute is carried out nonlinear transformation;
Fitting module 413 is used for the signal to noise ratio sub-vector after conversion module 412 conversion is carried out fitting of a polynomial, obtains feedback parameter;
Sending module 414 is used for sending the feedback parameter that fitting module 413 obtains to sending ending equipment 42.
As shown in Figure 6, this receiving device can also comprise:
Order module 415 is used for the signal to noise ratio of parallel sub-channels is sorted.
Above-mentioned thresholding is specifically as follows signal-noise ratio threshold and dimension thresholding, selects module 411 to comprise:
Signal to noise ratio chooser module 4111 is used for subchannel signal to noise ratio after order module 415 ordering and selects subchannel signal to noise ratio greater than described signal-noise ratio threshold;
The first chooser module 4112, the dimension that is used for the signal to noise ratio sub-vector that constituted when the subchannel signal to noise ratio less than signal-noise ratio threshold that signal to noise ratio chooser module 4111 is selected is during less than the dimension thresholding, in the signal to noise ratio after ordering according to the dimension thresholding, in subchannel signal to noise ratio greater than signal-noise ratio threshold, subchannel signal to noise ratio according to from small to large selective sequential respective numbers, constitute the signal to noise ratio sub-vector, the dimension of the feasible signal to noise ratio sub-vector that constitutes equals the dimension thresholding;
The second chooser module 4113, the dimension that is used for the signal to noise ratio sub-vector that constituted when the subchannel signal to noise ratio less than signal-noise ratio threshold that signal to noise ratio chooser module 4111 is selected is during greater than the dimension thresholding, selection constitutes the signal to noise ratio sub-vector less than the subchannel signal to noise ratio of signal-noise ratio threshold.
Above-mentioned thresholding specifically can also be signal-noise ratio threshold, at this moment selects module 411 specifically to be used for constituting the signal to noise ratio sub-vector according to the subchannel signal to noise ratio chooser channel signal to noise ratio of signal-noise ratio threshold after order module 415 orderings.
Above-mentioned thresholding specifically can also be the dimension thresholding, at this moment selects module 411 specifically to be used for constituting the signal to noise ratio sub-vector according to the signal to noise ratio chooser channel signal to noise ratio of dimension thresholding after order module 415 orderings.
Sending module 414 specifically is used for carrying feedback parameter in specified message or conventional channel quality information, is sent to sending ending equipment 42.Particularly, sending module 414 judges that the previously stored relatively value of above-mentioned feedback parameter has or not obvious change, promptly determines the rate of change of each feedback parameter.If the previously stored relatively value of this feedback parameter has obvious change, this illustrates that this feedback parameter changes and changes fast with channel, and then sending module 414 transmission specified message change and fast-changing feedback parameter to upgrade with channel; If the previously stored relatively value of feedback parameter does not obviously change, this illustrates that this feedback parameter changes slowly with channel, and then sending module 414 sends in the channel quality information of routine and changes feedback parameter slowly with channel.
As shown in Figure 7, the structure chart for a kind of sending ending equipment of the embodiment of the invention comprises:
Receiver module 421 is used to obtain the feedback parameter that receiving device 41 sends;
Make up module 422, be used for the feedback parameter that obtains according to receiver module 421, make up the vector corresponding with sending ending equipment 42 according to polynomial fitting;
Inverse transform module 423 is used for the vector that makes up module 422 structures is carried out the inverse transformation of nonlinear transformation, obtains the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels;
Transmission quality determination module 424 is used for the signal to noise ratio sub-vector according to inverse transform module 423 acquisitions, determines channel transmission quality.
This sending ending equipment 42 can also comprise:
Detection module 425, the subchannel signal to noise ratio that is used for signal to noise ratio sub-vector that inverse transform module 423 is obtained detects and handles, determine that variation tendency does not satisfy the subchannel signal to noise ratio that monotonicity requires, generate the subchannel signal to noise ratio according to linear or nonlinear Changing Pattern and substitute and do not satisfy the subchannel signal to noise ratio that monotonicity requires, the signal to noise ratio sub-vector that forms length and be the number of subchannel that system comprises and have monotone variation.
Wherein, the signal to noise ratio sub-vector after transmission quality determination module 424 specifically is used for detecting and handling according to detection module 425 is determined effective signal-to-noise ratio and in the Block Error Rate one or both under different coding modulation system and the different capacity lifting factor.
Above-mentioned module can be distributed in a device, also can be distributed in multiple arrangement.Above-mentioned module can be merged into a module, also can further split into a plurality of submodules.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by hardware, also can realize by the mode that software adds necessary general hardware platform.Based on such understanding, technical scheme of the present invention can embody with the form of software product, it (can be CD-ROM that this software product can be stored in a non-volatile memory medium, USB flash disk, portable hard drive etc.) in, comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, module in the accompanying drawing or flow process might not be that enforcement the present invention is necessary.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of the foregoing description can be merged into a module, also can further split into a plurality of submodules.
The invention described above embodiment sequence number is not represented the quality of embodiment just to description.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.

Claims (20)

1. the feedback method of a channel transmission quality is characterized in that, comprising:
According to thresholding chooser channel signal to noise ratio, constitute the signal to noise ratio sub-vector, the signal to noise ratio sub-vector that constitutes is carried out nonlinear transformation;
Signal to noise ratio sub-vector after the nonlinear transformation is carried out fitting of a polynomial, obtain feedback parameter, and send described feedback parameter, described feedback parameter is used to make transmitting terminal to obtain the signal to noise ratio sub-vector, determines channel transmission quality.
2. the method for claim 1 is characterized in that, described according to before the thresholding chooser channel signal to noise ratio, also comprise: the signal to noise ratio to parallel sub-channels sorts.
3. method as claimed in claim 2 is characterized in that, described thresholding comprises signal-noise ratio threshold and dimension thresholding,
Described according to chooser channel signal to noise ratio in the signal to noise ratio of thresholding after ordering, constitute the signal to noise ratio sub-vector and comprise:
Select subchannel signal to noise ratio in the signal to noise ratio after ordering less than described signal-noise ratio threshold;
The dimension of the signal to noise ratio sub-vector that is constituted when the subchannel signal to noise ratio less than described signal-noise ratio threshold is during less than described dimension thresholding, in the signal to noise ratio after ordering according to described dimension thresholding, in subchannel signal to noise ratio greater than described signal-noise ratio threshold, subchannel signal to noise ratio according to from small to large selective sequential respective numbers, constitute the signal to noise ratio sub-vector, the dimension of the feasible signal to noise ratio sub-vector that constitutes equals described dimension thresholding;
The dimension of the signal to noise ratio sub-vector that is constituted when the subchannel signal to noise ratio less than described signal-noise ratio threshold is selected the subchannel signal to noise ratio less than described signal-noise ratio threshold during greater than described dimension thresholding, constitutes the signal to noise ratio sub-vector.
4. method as claimed in claim 2 is characterized in that described thresholding is specially signal-noise ratio threshold,
Described according to chooser channel signal to noise ratio in the signal to noise ratio of thresholding after ordering, constitute the signal to noise ratio sub-vector and specifically comprise:
According to chooser channel signal to noise ratio in the signal to noise ratio of described signal-noise ratio threshold after ordering, constitute the signal to noise ratio sub-vector.
5. method as claimed in claim 2 is characterized in that described thresholding is specially the dimension thresholding,
Described according to chooser channel signal to noise ratio in the signal to noise ratio of thresholding after ordering, constitute the signal to noise ratio sub-vector and specifically comprise:
According to chooser channel signal to noise ratio in the signal to noise ratio of described dimension thresholding after ordering, constitute the signal to noise ratio sub-vector.
6. as claim 1,3,4 or 5 described methods, it is characterized in that described formation signal to noise ratio sub-vector comprises:
In the subchannel signal to noise ratio of selecting, evenly extract the subchannel signal to noise ratio, constitute the signal to noise ratio sub-vector.
7. the method for claim 1 is characterized in that, the described feedback parameter of described transmission comprises:
In the channel quality information of specified message or routine, carry described feedback parameter, feed back to described transmitting terminal.
8. as claim 1 or 7 described methods, it is characterized in that the described feedback parameter of described transmission specifically comprises:
Described feedback parameter is encoded, the feedback parameter behind the coding is sent to transmitting terminal.
9. the method for a definite channel transmission quality is characterized in that, comprising:
Obtain the feedback parameter that receiving terminal sends;
According to described feedback parameter, make up the vector corresponding with transmitting terminal according to polynomial fitting;
The vector that makes up is carried out the inverse transformation of nonlinear transformation, obtain the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels;
According to described signal to noise ratio sub-vector, determine channel transmission quality.
10. method as claimed in claim 9 is characterized in that, after the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels of described acquisition, also comprises:
Subchannel signal to noise ratio in the described signal to noise ratio sub-vector is detected and handles, determine that variation tendency does not satisfy the subchannel signal to noise ratio that monotonicity requires, generate the subchannel signal to noise ratio according to linear or nonlinear Changing Pattern and substitute the described subchannel signal to noise ratio that monotonicity requires that do not satisfy, the signal to noise ratio sub-vector that forms length and be the number of subchannel that system comprises and have monotone variation.
11. as claim 9 or 10 described methods, it is characterized in that, described according to described signal to noise ratio sub-vector, determine that channel transmission quality specifically comprises:
According to described signal to noise ratio sub-vector, determine effective signal-to-noise ratio and in the Block Error Rate one or both under different coding modulation system and the different capacity lifting factor.
12. the system of a definite channel transmission quality is characterized in that, comprising:
Receiving device is used for according to thresholding chooser channel signal to noise ratio, constitutes the signal to noise ratio sub-vector, and the signal to noise ratio sub-vector that constitutes is carried out nonlinear transformation; Signal to noise ratio sub-vector after the nonlinear transformation is carried out fitting of a polynomial, obtain feedback parameter, and send described feedback parameter;
Sending ending equipment is used to obtain the feedback parameter that described receiving device sends, and according to described feedback parameter, makes up the vector corresponding with described sending ending equipment according to polynomial fitting; The vector that makes up is carried out the inverse transformation of nonlinear transformation, obtain the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels,, determine channel transmission quality according to described signal to noise ratio sub-vector.
13. a receiving device is characterized in that, comprising:
Select module, be used for, constitute the signal to noise ratio sub-vector according to thresholding chooser channel signal to noise ratio;
Conversion module is used for the signal to noise ratio sub-vector that described selection module constitutes is carried out nonlinear transformation;
Fitting module is used for the signal to noise ratio sub-vector after the described conversion module conversion is carried out fitting of a polynomial, obtains feedback parameter;
Sending module is used for sending the feedback parameter that described fitting module obtains to sending ending equipment.
14. as receiving device as described in the claim 13, it is characterized in that, also comprise:
Order module is used for the signal to noise ratio of parallel sub-channels is sorted.
15. as receiving device as described in the claim 14, it is characterized in that described thresholding comprises signal-noise ratio threshold and dimension thresholding, described selection module comprises:
Signal to noise ratio chooser module is used for subchannel signal to noise ratio after the ordering of described order module and selects subchannel signal to noise ratio less than described signal-noise ratio threshold;
The first chooser module, the dimension that is used for the signal to noise ratio sub-vector that constituted when the subchannel signal to noise ratio less than described signal-noise ratio threshold that described signal to noise ratio chooser module is selected is during less than described dimension thresholding, in the signal to noise ratio after ordering according to described dimension thresholding, in subchannel signal to noise ratio greater than described signal-noise ratio threshold, subchannel signal to noise ratio according to from small to large selective sequential respective numbers, constitute the signal to noise ratio sub-vector, the dimension of the feasible signal to noise ratio sub-vector that constitutes equals described dimension thresholding;
The second chooser module, the dimension that is used for the signal to noise ratio sub-vector that constituted when the subchannel signal to noise ratio less than described signal-noise ratio threshold that described signal to noise ratio chooser module is selected is during greater than described dimension thresholding, selection constitutes the signal to noise ratio sub-vector less than the subchannel signal to noise ratio of described signal-noise ratio threshold.
16. as receiving device as described in the claim 14, it is characterized in that described thresholding is specially signal-noise ratio threshold,
Described selection module specifically is used for constituting the signal to noise ratio sub-vector according to the subchannel signal to noise ratio chooser channel signal to noise ratio of described signal-noise ratio threshold after described order module ordering.
17. as receiving device as described in the claim 14, it is characterized in that described thresholding is specially the dimension thresholding,
Described selection module specifically is used for constituting the signal to noise ratio sub-vector according to the signal to noise ratio chooser channel signal to noise ratio of described dimension thresholding after described order module ordering.
18. a sending ending equipment is characterized in that, comprising:
Receiver module is used to obtain the feedback parameter that receiving device sends;
Make up module, be used for feedback parameter, make up the vector corresponding with described sending ending equipment according to polynomial fitting according to described receiver module acquisition;
Inverse transform module is used for the vector of described structure module construction is carried out the inverse transformation of nonlinear transformation, obtains the signal to noise ratio sub-vector that signal to noise ratio constituted of a plurality of parallel sub-channels;
The transmission quality determination module is used for the signal to noise ratio sub-vector according to described inverse transform module acquisition, determines channel transmission quality.
19. as sending ending equipment as described in the claim 18, it is characterized in that, also comprise:
Detection module, the subchannel signal to noise ratio that is used for signal to noise ratio sub-vector that described inverse transform module is obtained detects and handles, determine that variation tendency does not satisfy the subchannel signal to noise ratio that monotonicity requires, generate the subchannel signal to noise ratio according to linear or nonlinear Changing Pattern and substitute the described subchannel signal to noise ratio that monotonicity requires that do not satisfy, the signal to noise ratio sub-vector that forms length and be the number of subchannel that system comprises and have monotone variation.
20. as sending ending equipment as described in the claim 19, it is characterized in that, signal to noise ratio sub-vector after described transmission quality determination module specifically is used for detecting and handling according to described detection module is determined effective signal-to-noise ratio and in the Block Error Rate one or both under different coding modulation system and the different capacity lifting factor.
CN2008101835493A 2008-12-18 2008-12-18 Channel transmission quality feedback method, system and device Expired - Fee Related CN101754343B (en)

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CN110868273A (en) * 2019-11-29 2020-03-06 中国电子科技集团公司第五十四研究所 Joint decoding method for multipath received signals
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