CN101632317A - Method and apparatus for feedback overhead reduction in wireless communications - Google Patents
Method and apparatus for feedback overhead reduction in wireless communications Download PDFInfo
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Abstract
A method and apparatus for reducing feedback transmission overhead in wireless communications. Averaging, compression, or both are used to reduce a number of bits needed for transmission of channel quality information.
Description
Technical field
The application relates to radio communication.
Background technology
Expectation can minimize signaling consumption always in radio communication.This is particularly useful for feedback transmission, and is particularly useful for (for example when coming measure channel quality by signal-noise ratio or other channel quality index) feedback when measure channel quality.For example, mobile unit can be determined one or more quality of channel and this information is sent to the base station, makes the base station can select one group of optimum channel to communicate in preset time.
In being called in " the best-M " scheme (best-M) of proposing before, by the mass measurement report of the frequency band of the M with best in quality in all transmission bands being reduced the expense of quality information feedback.
Summary of the invention
A kind of method and apparatus that is used for reducing the feedback overhead of radio communication is disclosed.Can use average, compression or use the two to reduce the required bit number of transmission of channel quality information (or expense) simultaneously.Method disclosed herein is compared the bit that needs transmission less with disclosed " the best-M " scheme before some.
Description of drawings
From the following description that provides in conjunction with the accompanying drawings in the mode of instantiation, can more clearly understand the present invention, wherein:
Fig. 1 is the flow chart of first execution mode that is used to reduce the method for expense;
Fig. 2 is the flow chart of second execution mode that is used to reduce the method for expense;
Fig. 3 is the flow chart of the 3rd execution mode that is used to reduce the method for expense;
Fig. 4 shows a kind of replacement example of described second execution mode; And
Fig. 5 shows the wireless transmitter/receiver unit that is arranged to any execution mode of carrying out described method.
Embodiment
The term of hereinafter mentioning " wireless transmitter/receiver unit (WTRU) " is including, but not limited to the subscriber equipment of subscriber equipment (UE), mobile radio station, fixing or moving user unit, beeper, cell phone, PDA(Personal Digital Assistant), computer or any other type that can operate in wireless environment.The term of hereinafter mentioning " base station " is including, but not limited to the interface equipment of Node B, site controller, access point (AP) or any other type that can operate in wireless environment.
Fig. 1 shows the flow chart of first execution mode that is used for reducing in radio communication the method 100 of feedback transmission expense, and it will be named as the conventional the best-M scheme of mixing.For those skilled in the art, well-known is that the bandwidth of communication channel generally is divided into a plurality of subbands.Method 100 begins (105) to determine the signal quality in each subband.Mass measurement is a kind of predefined quality metric (metric), such as signal-noise ratio or channel quality index (CQI).Select M subband (110) in the subband with best quantitive measure value.Number M is less than the sum of subband.
In step 120, M selected subband preferably is grouped into Q group.The number Q of group is preferably less than the number of selected subband and is at least 2.Along with the minimizing of Q, report that the required bit number of described quality metric (expense) also reduces, but the accuracy (resolution) that the frequency band in M the frequency band of the best is reported can reduce equally.Therefore, preferably the Q value is selected so that this balance is optimized.By way of example, a kind of optimal way can be by selecting Q to make to have only a group to comprise a lucky subband at the most.In case subband is grouped, in step 130, the mean value of tolerance of the subband in each group of Q group is determined.Resulting result is Q master (primary) mean value.Mean value to the tolerance that is not included in M all subbands in the optimal sub-band is determined (step 140).Resulting mean value is named as time (secondary) mean value.In step 150, Q main mean value and one mean value are transmitted.M optimal sub-band and Q the position of group in bandwidth are transmitted (step 160).
In specific example, described mean value and position are transferred to base station (BS) from wireless transmitter/receiver unit (WTRU), so that described BS comes communication is optimized by only using high-quality subband.More generally, described mean value can be transferred to any wireless receiver.
Some are replaced execution modes and can be used to transmit described position, thereby make described receiver know which subband is included in M the subband of described the best and subband wherein belongs to Q each group in organizing.In a kind of replacement execution mode, can adopt predetermined order that described mean value is transmitted, will be described this hereinafter subsequently.Replace in the execution mode at another kind, can transmit a group echo (label).For a latter's example, consider the situation of Q=2.Can transmit a mark to indicate described M the position of best in quality subband in bandwidth.Can transmit second mark and belong in these two groups some group with which subband in M subband of indication.Acquiescence residue frequency band belongs to another group.Usually, in this scheme, transmit Q position.Because Q is less than M, if transmitted the quality information of all M frequency band, the bit number (expense) that then is used to transmit useful sub-band quality information can be less than needed bit number---so-called best M reports scheme separately.
Alternative (being named as mixing the best-M difference (differential)) as first execution mode can further reduce required expense.Replace in the execution mode at this, the best M scheme of mixing as indicated above is the same, Q location index is transmitted, and wherein 1 location index is used to indicate the position of described best M subband, and Q-1 location index is used for indicating the position of Q-1 of described Q the group frequency band in organizing.But in this scheme, described Q group is sorted, and only the main mean value quality metric value of first group in described Q the group reported.Remaining Q-1 main mean value is reported as the difference of each mean value and the mean value that comes his front respectively.Inferior mean value is reported as the difference of this time mean value and last (last) main mean value.
For the example of a differential scheme, consider the situation of Q=2 once more.In this case, the mean value that is transmitted is:
A) first group a main mean value in two groups,
B) the main mean value of second group main mean value and first group is poor, and
C) the main mean value of inferior mean value and second group is poor.
Mix the best-M scheme with routine and compare, a) and b) item saved at least two bits altogether, c) item has been saved at least one bit.
Fig. 2 shows the flow chart of second execution mode of the method 200 that is used to reduce the feedback transmission expense.In this embodiment, use compressed transform to reduce expense.
Similar with first execution mode of Fig. 1, in step 205, come quality metric is determined, and in step 210, select M subband with best quality metric at each subband.Determine the not mean value (step 240) of the tolerance of the subband in a described best M subband.This M tolerance and described mean value are compressed in step 250, and the value after the compression is transmitted (step 260).Described compression has reduced required transport overhead.
The specific example of using compressed transform is described now.M metric and described mean value can be arranged to the component of vector.In described best M the subband which ordering of component of vector indicate is mean value corresponding to metric and which component.For example, for the situation of M=5, the vectorial y that can define one 8 component is:
y＝[CQI
1?CQI
2?CQI
3?CQI
4?CQI
5?CQI
avg?0?0]
CQI wherein
1-CQI
5Be respectively the quality metric value of subband 1-5, CQI
AvgBe the mean value that is not included in the tolerance of M the subband in the optimal sub-band.Two 0 components are explained hereinafter.
Now come the information that is included among the vectorial y is compressed by the compressed transform of representing by matrix W.Described compression can obtain compressing vectorial y3 by matrix multiplication and represent:
y3＝yW
The component of vectorial y3 after the compression is quantized and is transmitted.
As specific example, described compressed transform can be Ha Er (Haar) conversion.Haar transform is the wavelet transformation of specific type, and it is used to such as application such as image compression.Haar transform can reduce transport overhead by the weight of vectorial component being transferred to a component.
Situation for the vector of above-mentioned M=5 can realize suitable Haar transform by following matrix
This Haar transform is reversible, and can nondestructively restore unpressed vectorial y by the described process of reverse execution, is expressed as y=y
3F, wherein
Notice that in this example, it is zero that among the vectorial y two 0 have caused the last component of the vectorial y3 after the compression.Therefore, this last component can be removed before transmission, and can loss of information.
As an alternative, the component of vectorial y also can be rearranged by following equation:
y′＝[CQI
1?CQI
2?CQI
3?CQI
4?CQI
5?0?CQI
avg?0]
After compression, latter two component of the vector of conversion can be removed and loss of information not, and this is because receiver is known which element of y ' in advance is zero, and utilizes this point to come CQI
5And CQI
AvgCarry out losslessly encoding.
In a kind of replacement execution mode, can realize that other expense reduces by the transmission of tolerance after the compression and mean value being expanded during more than a Transmission Time Interval (TTI).Among Fig. 4 this replacement execution mode is described.Suppose that compression causes quality information to be comprised in P the bit.Under situation about not expanding, P bit transmits (400) in each TTI.Under situation about expanding, P bit is assigned among K the TTI (410), and wherein K is greater than 1.Like this, average overhead bit becomes P/K, and no longer is P.
This execution mode can extend to the many code communications of multilayer.In this case, come report quality tolerance at each each subband of layer.Quality metric value be comprised in the matrix rather than vector in.The entry of a matrix element can be exactly a metric itself, or the difference between each metric and (for example) maximal metric value.By using two dimensional compaction conversion (such as the 2-D Haar transform) information is compressed subsequently.The result can be the matrix that contains a relatively large element, and all the other elements of matrix then have than low value.Subsequently, when the matrix after the compression is transmitted, will cause a large amount of minimizings of feedback overhead.
This execution mode can be applied to frequency division (partitioning).In this case, transmission band is divided into sub-piece.Each block is determined quality metric.Transmission band is divided into K piecemeal, and wherein K is at least 2.First piecemeal comprises N1 best sub-piece, and second piecemeal comprises ensuing N2 the best sub-piece that is not included in first piecemeal, and remaining piecemeal in K piecemeal by that analogy.For first piecemeal, select M1 piecemeal in N1 the piecemeal with best quality metric, and the best M1 execution mode of the Ha Er that describes before using.For second piecemeal, select M2 best sub-piece, wherein M2 can be not equal to M1, and uses the best M2 execution mode of Ha Er.Use similar mode, the Ha Er compression is applied to each piecemeal of K piecemeal.This technology is reduced to transport overhead:
In many inputs/many output (MIMO) communication plans, can use similar dividing method.For example can on code word, layer or both, cut apart.
Fig. 3 shows the example of second execution mode of the method 300 that is used to reduce the feedback transmission expense.In this embodiment, compression can be distributed on the different time intervals.The communication resource (such as the frequency and the time interval of distributing) is focused in the Resource Block, and Resource Block forms Resource Block group (RBG) conversely again.Determine the quality metric of each RBG.RBG is divided into N group.The prior all positions of known these groups of WTRU and BS.In first report interval (for example Transmission Time Interval (TTI)), compressed transform (the best M conversion of all Ha Er as the aforementioned) can be used to one group quality metric in these groups, and the tolerance after the transmission compression.In each report interval subsequently, the tolerance after the compression of another group in described N group is reported, is reported as up to the quality metric at whole frequency band and ends.In this embodiment, at least since the vector of metric by from N
RBGIndividual component is reduced to N
RBG/ N component will cause expense to reduce.
Fig. 3 shows the specific example of this execution mode, wherein N=2.One group of RBG 300 is divided into N=2 group, and one group comprises the RBG 310 that is numbered even number, and another group comprises the RBG 340 that is numbered odd number.In the i of report interval, Ha Er is best, and the M compression is applied to even number set (320), and with result transmission (330).In Next Report time interval i+1, Ha Er is best, and the M compression is applied to odd number group (350), and with result transmission (360).
Table 1 shows and comprises that the multiple expense of some execution modes disclosed herein reduces the comparison of scheme, supposes that each unpressed quality metric is expressed as five bits.Especially, also show the expense of comparing with best M the sample that does not use the Ha Er compression for best M the sample of Ha Er (individual) and reduce percentage.
The expense of table 1CQI compression scheme relatively
Execution mode described herein can for example implemented in as shown in Figure 5 the wireless transmitter/receiver unit (WTRU).WTRU can use described method to come to the base station transmits channel quality information, and the base station utilizes described information to select the best in quality channel conversely, communicates with WTRU being used for.WTRU 500 can comprise receiver 510, transmitter 515 and processor 520.Receiver 510 can be on a plurality of channels received signal.Processor 520 can use received information to determine quality metric described set of measurements to be made into group, described tolerance is averaged, and compress described tolerance.Transmitter 515 can transmit the tolerance after average and/or the compression, and described tolerance expense is reduced by using disclosed method.
Embodiment
1, a kind of method that the quality metrics that transmits in the radio communication of using a plurality of subbands is compressed of being used for, this method comprises:
Selection is measured at M best in quality of each subband;
Measure the mean value of the quality metrics of residue subband;
Establishment comprises a described M best in quality and measures vector with described mean value; And
Carrying out compressed transform on the described vector with the vector after producing conversion.
2,, before also being included in and transmitting, this method eliminates last element in the vector after the described conversion according to embodiment 1 described method.
3, according to embodiment 2 described methods, this method comprises that also the surplus element to the vector after the conversion quantizes.
4,, wherein in described vector, report described M best in quality measurement value with the order identical with described relevant subbands according to embodiment 1,2 or 3 described methods.
5, according to the described method of above-mentioned arbitrary embodiment, this method also comprises the vector after the transmission conversion.
6, a kind of subscriber equipment that transmits the quality metrics after the compression as the method in embodiment 1,2,3 or 4 that in cordless communication network, uses.
7, a kind of in cordless communication network from as receiving the base station of the quality metrics after the compression the embodiment 6 described subscriber equipmenies.
8, a kind of as the described method of arbitrary embodiment in embodiment 1,3 or 5, this method also is included in to be carried out before the described compressed transform, rearranges M optimal vector value by removing any null value.
9, according to embodiment 8 described methods, this method also comprises eliminates two elements to transmit the vector after conversion.
10, according to embodiment 8 or 9 described methods, this method also comprises the quality metrics that transmits after compressing.
11, a kind of subscriber equipment that in cordless communication network, is used for transmitting the quality metrics after use is compressed as the described method of the arbitrary embodiment of embodiment 8-10.
12, a kind of base station of measuring from as the embodiment 11 described subscriber equipment qualities of reception of in cordless communication network, being used for.
13, according to the described method of arbitrary embodiment among embodiment 1-5 or the 9-10, wherein in many yards/multilayer system, the value of every layer quality metrics is compressed and reports.
14, according to embodiment 13 described methods, this method also comprises the value of report at the quality metrics of each layer of each subband.
15, according to embodiment 13 or 14 described methods, this method also comprises:
Report has measuring of peak;
Determine the difference of measurement value of peak and each layer that is used for rest layers; And
Report is at the difference of each layer in the rest layers.
16, a kind of being used for measured the method for compressing to channel quality, and this method comprises:
Transmission band is divided into two or more piecemeals;
In first piecemeal, select M1 best metric at each subband;
In described first piecemeal, measure the mean value of residue subband;
Create primary vector; And
Carrying out compressed transform on the primary vector with the vector after producing first conversion.
17, according to embodiment 16 described methods, wherein said first piecemeal is included in the strongest (strongest) N1 sub-piece in a plurality of sub-pieces.
18, according to embodiment 16 or 17 described methods, this method also comprises:
In second piecemeal, select M2 best metric at each subband;
In second piecemeal, measure the mean value of residue subband;
Create secondary vector; And
Carrying out compressed transform on the described secondary vector with the vector after producing second conversion.
19, according to embodiment 18 described methods, wherein said second piecemeal comprises N2 the strongest piece of the back that is not included in first piecemeal.
20, according to the described method of arbitrary embodiment among the embodiment 16-19, this method also comprises last element of the vector after the elimination conversion.
21, according to embodiment 20 described methods, this method comprises that also the surplus element to the vector after the conversion quantizes.
22, according to the described method of arbitrary embodiment among the embodiment 17-19, this method also comprises eliminates two elements to transmit the vector after conversion.
23, according to the described method of above-mentioned arbitrary embodiment, this method also comprises the vector after the transmission conversion.
24, a kind ofly in cordless communication network, be used for transmitting the subscriber equipment of measuring that uses after embodiment 1-5,8-10 and the described method of the arbitrary embodiment of 13-23 are compressed.
25, a kind of in cordless communication network, being used for from receive the base station of measuring after compressing as embodiment 24 described subscriber equipmenies.
26, a kind ofly be used for the method that reporting channel quality is measured in radio communication, this method comprises:
Select M frequency band the strongest based on signal strength signal intensity;
Based on signal strength signal intensity M frequency band is categorized into Q group;
Be identified for Q of Q of M the frequency band group principal mass measurement value after average; And
Inferior quality after definite sheet at every other frequency band is average is measured.
27, according to embodiment 26 described methods, wherein first group in Q group comprises the strongest frequency band, and in Q group second group comprises inferior strong frequency band.
28, according to the described method of above-mentioned arbitrary embodiment, this method comprises that also first wireless device will be sent to second wireless device with reference to the primary importance index of first communication band.
29, according to embodiment 28 described methods, wherein said first communication band has the strongest quality metrics value.
30, according to embodiment 28 or 29 described methods, this method comprises that also first wireless device will be sent to second wireless device with reference to the second place index of second place frequency band.
31, according to embodiment 30 described methods, wherein said second place frequency band has time strong quality metrics value.
32, according to the described method of above-mentioned arbitrary embodiment, its intermediate value Q is selected such that not unnecessary one of the group that comprises single frequency band in Q the group.
33, according to the described method of above-mentioned any embodiment, wherein 1＜Q＜M.
34, according to the described method of arbitrary embodiment among the embodiment 31-33, this method comprises that also the location index that will be used for reference to each communication band is sent to second communication equipment, has determined main mean value for each communication band.
35, according to the described method of arbitrary embodiment among the embodiment 31-34, this method comprises that also first wireless device is sent to second wireless device with a plurality of mean values of the group of quality metrics.
36, according to embodiment 35 described methods, this method also comprises the mean value of each group in a plurality of groups that determine to have strong quality metrics.
37, according to embodiment 36 described methods, this method also comprises the mean value of determining remaining set, and wherein said remaining set is not to have the most a plurality of groups the part (member) of strong quality metrics.
38, according to embodiment 36 or 37 described methods, this method comprises that also the mean value that first wireless device will have each group in a plurality of groups of the strongest quality metrics is sent to second wireless device.
39, according to embodiment 37 or 38 described methods, this method comprises that also first wireless device is sent to second wireless device with the mean value of remaining set.
40, according to the described method of arbitrary embodiment among the embodiment 31-39, this method comprises that also first wireless device is transferred to second wireless device with first group mean value, and wherein first group has the strongest quality metrics.
41, according to embodiment 40 described methods, this method comprises that also first wireless device will be sent to second wireless device with reference to the quality metrics changing value of first group mean value.
42, according to the described method of above-mentioned arbitrary embodiment, this method also comprises transmitting from first wireless device and is used to indicate M the mark of the position of strong frequency band.
43, according to the described method of above-mentioned arbitrary embodiment, this method also comprise transmit be used to show belong to Q first group of organizing get (M/2) mark of individual frequency band of top (ceil).
44, according to the described method of arbitrary embodiment among the embodiment 31-41, wherein first wireless device is WTRU.
45, according to the described method of arbitrary embodiment among the embodiment 31-42, wherein second wireless device is a Node B.
46, according to the described method of above-mentioned arbitrary embodiment, this method also comprises to be compressed quality metrics and extended bit.
47, according to the described method of above-mentioned arbitrary embodiment, this method also comprises Resource Block group (RBG) is divided into N group.
48, according to the described method of above-mentioned arbitrary embodiment, wherein Zu position is known for wireless transmitter/receiver unit (WTRU) and/or Node B (NB).
49, according to the described method of above-mentioned arbitrary embodiment, this method also is included in expands RBG equably on the frequency band.
50, according to the described method of above-mentioned arbitrary embodiment, each report interval that this method also is included in a plurality of reports at interval applies compressed transform.
51, according to the described method of above-mentioned arbitrary embodiment, this method also comprises and is divided into strange RBG and the even number group.
52, according to embodiment 51 described methods, this method comprises that also antithesis group or strange group apply the compression of the best-M.
53, according to the described method of above-mentioned arbitrary embodiment, this method comprises that also it is the individual Transmission Time Interval (TTI) of K that the renewal to feedback is extended to quantity at interval.
54, according to the described method of above-mentioned arbitrary embodiment, wherein the average of quality metrics bit is reduced by expanding on a plurality of TTI.
55, according to the described method of above-mentioned arbitrary embodiment, wherein average overhead bit is P/K, and wherein P bit obtains from compression.
56, according to the described method of above-mentioned arbitrary embodiment, wherein said quality metrics is CQI (CQI).
57, according to the described method of above-mentioned arbitrary embodiment, wherein said compressed transform is a Haar transform.
58, a kind of WTRU that is configured to as the described method of above-mentioned arbitrary embodiment.
59, a kind of base station that is configured to carry out as the described method of above-mentioned arbitrary embodiment.
60, a kind of integrated circuit that is configured to carry out as the described method of above-mentioned arbitrary embodiment.
Though feature of the present invention and element are described with specific combination, each feature or element can be under the situation that does not have further feature and element use separately, or with or with under the various situations that further feature and element combine do not use.Here method that provides or flow chart can be implemented in computer program, software or the firmware carried out by all-purpose computer or processor, and wherein said computer program, software or firmware are to be included in the computer-readable recording medium in tangible mode.The light medium that comprises magnetizing mediums, magnet-optical medium and the CD-ROM disk of read-only memory (ROM), random-access memory (ram), register, buffer storage, semiconductor memory apparatus, internal hard drive and moveable magnetic disc and so on and digital versatile disc (DVD) and so on about the example of computer-readable recording medium.
For instance, appropriate processor comprises: general processor, application specific processor, conventional processors, digital signal processor (DSP), a plurality of microprocessor, one or more microprocessors, controller, microcontroller, application-specific integrated circuit (ASIC) (ASIC), field programmable gate array (FPGA) circuit, any integrated circuit (IC) and/or the state machine related with the DSP nuclear phase.
The processor that is associated with software can be used to realize a radio frequency transceiver, so that used in wireless transmission receiving element (WTRU), subscriber equipment (UE), terminal, base station, radio network controller (RNC) or any host computer.WTRU can be used in combination with the module that adopts hardware and/or form of software to implement, for example camera, camara module, video telephone, speaker-phone, vibratory equipment, loud speaker, microphone, TV transceiver, Earphone with microphone, keyboard, bluetooth
Module, frequency modulation (FM) radio unit, LCD (LCD) display unit, Organic Light Emitting Diode (OLED) display unit, digital music player, media player, video game machine module, explorer and/or any wireless lan (wlan) or ultra broadband (UWB) module.
Claims (52)
1, a kind of method that is used for reducing the feedback transmission expense of radio communication, this method comprises:
Be identified for the quality metrics of each subband in the bandwidth;
Selection has M the subband that M best in quality measured, and wherein M is less than the sum of the subband in the described bandwidth;
A described M subband is grouped into Q group, wherein 1＜Q＜M;
Be identified for the mean value of measuring of the subband in each group in described Q the group, thereby determine Q main mean value; And
Determine not to be included in the described mean value of measuring, thereby determine inferior mean value with all subbands in M the subband that best in quality measures.
2, method according to claim 1, wherein said quality metrics are channel quality index (CQI).
3, method according to claim 1, this method also comprises:
Delivering position index, this location index are used to indicate the position with M subband that a described M best in quality measures; And
Transmit the location index of each group in Q-1 the group in described Q the group.
4, method according to claim 1 wherein comprises no more than one of the group of a subband just.
5, method according to claim 1, this method also comprise the described main mean value of transmission and described mean value.
6, method according to claim 5, wherein transmit described main mean value and described mean value comprises:
Described Q group sorted;
Transmit first group main mean value in the described ordering;
The main mean value of each group of transmission except described first group and the difference of previous group main mean value in the described ordering; And
Transmit the difference of the main mean value of last group in described mean value and the described ordering.
7, a kind of method that is used for reducing the feedback transmission expense of radio communication, this method comprises:
Be identified for the quality metrics of each subband in the bandwidth;
Selection has M the subband that M best in quality measured, and wherein M is less than the sum of the subband in the described bandwidth;
Determine not to be included in the described mean value of measuring with all interior subbands of M subband that best in quality measures;
A described M quality metrics and described mean value are compressed; And
Transmit measuring and mean value after compressing.
8, method according to claim 7, wherein said quality metrics are CQI (CQI).
9, method according to claim 7, wherein
Described compression comprises:
Formation comprises the vector of a described M quality metrics and described mean value; With
Described vector is applied compressed transform to obtain the vector after the compression; And
Described transmission comprises:
Transmit the vector after the described compression.
10, method according to claim 9, this method are included at least one component in the vector that removes before the vector that transmits after the described compression after the described compression.
11, method according to claim 10 wherein when removing described at least one component, does not have information dropout.
12, method according to claim 9, wherein said compressed transform is a Haar transform.
13, method according to claim 7, this method also comprises:
Be identified for M the best metric of each layer in a plurality of extra-code layers;
Determine the mean value of each layer in the described extra-code layer; And
To be combined into matrix at M the best metric and the mean value of all yards layer;
Wherein
Described compression comprises described matrix is applied the two dimensional compaction conversion; And
Described transmission comprises the matrix after the described compression of transmission.
14, method according to claim 13, wherein said two dimensional compaction conversion is two-dimentional Haar transform.
15, method according to claim 7, wherein said transmission comprises:
The peaceful mean quantization of measuring after the compression is become a plurality of bits; And
On at least two Transmission Time Intervals, transmit described bit.
16, a kind of method that is used for reducing the feedback transmission expense of radio communication, this method comprises:
Be identified for the quality metrics of each the sub-piece in the transmission band;
According to the ordering of determined quality metrics and described transmission band is divided into piecemeal, so that each sub-piece belongs to a piecemeal;
For each piecemeal, select to have M the subband that M best in quality measured, wherein M is different for different piecemeals;
For each piecemeal, obtain the mean value that is not included in M the quality metrics that is used for sub-piece in selected the measuring;
For each piecemeal, a described M best metric and described mean value are compressed; And
For each piecemeal, transmit M best metric and described mean value after compressing.
17, method according to claim 16, wherein said quality metrics are channel quality index (CQI).
18, method according to claim 16, wherein:
Described compression comprises:
Formation comprises the vector of a described M best metric and described mean value; With
Described vector is applied compressed transform to obtain the vector after the compression; And
Described transmission comprises:
Transmit the vector after the described compression.
19, method according to claim 18, this method are included at least one component in the vector that removes before the vector that transmits after the described compression after the described compression.
20, method according to claim 19 wherein when removing described at least one component, does not have information dropout.
21, method according to claim 18, wherein said compressed transform is a Haar transform
22, a kind of method that is used for reducing the feedback transmission expense of radio communication, this method comprises:
Measurement is used for the quality metrics of each RBG of a plurality of Resource Block groups (RBG);
Described a plurality of RBG are divided into N group, wherein N＞1;
Quality metrics to the RBG in the group in described group during the report interval compresses;
Transmit the quality metrics after compressing; And
In follow-up Transmission Time Interval, repeat described compression and transmission at each group in remaining N-1 the group.
23, method according to claim 22, wherein,
Described compression comprises:
Formation comprises the vector of described quality metrics; With
Described vector is applied compressed transform to obtain the vector after the compression; And
Described transmission comprises:
Transmit the vector after the described compression.
24, method according to claim 23, this method are included at least one component in the vector that removes before the vector that transmits after the described compression after the described compression.
25, method according to claim 24 wherein when removing described at least one component, does not have information dropout.
26, method according to claim 23, wherein said compressed transform is a Haar transform.
27, a kind of wireless transmitter/receiver unit (WTRU), this WTRU comprises:
Receiver is arranged to the signal in a plurality of subbands that receive in the bandwidth;
Processor is configured to:
Be identified for the quality metrics of each subband according to described signal;
Selection has M the subband that M best in quality measured, and wherein M is less than the sum of the subband in the described bandwidth;
A described M subband is grouped into Q group, wherein 1＜Q＜M;
Determine the mean value of measuring of the subband in each group in described Q the group, thereby determine Q main mean value; And
Determine not to be included in the described mean value of measuring, thereby determine inferior mean value with all subbands in M the subband that best in quality measures.
28, WTRU according to claim 27, wherein said processor are configured to measure channel quality index (CQI) and are used as described quality metrics.
29, WTRU according to claim 27, this WTRU also comprises transmitter, this transmitter is configured to:
Delivering position index, this location index are used to indicate the position with M subband that a described M best in quality measures; And
Transmit the location index of each group in Q-1 the group in described Q the group.
30, WTRU according to claim 27, wherein said processor are configured to a described M subband is grouped into Q group, so that comprise no more than one of the group of a subband just.
31, WTRU according to claim 27, wherein said transmitter are arranged to and transmit described main mean value and described mean value.
32, WTRU according to claim 31, wherein,
Described processor is arranged to:
Described Q group sorted;
Determine first group main mean value in the described ordering;
Determine the main mean value of each group except described first group and the difference of previous group main mean value in the described ordering; With
Determine the difference of the main mean value of last group in described mean value and the described ordering; And
Described transmitter is configured for transmission:
The difference of previous group main mean value in the main mean value of each group except described first group and the described ordering; With
The difference of the main mean value of last group in described mean value and the described ordering.
33, a kind of wireless transmitter/receiver unit (WTRU), this WTRU comprises:
Processor;
Transmitter; And
Receiver;
Described receiver is arranged to the signal in a plurality of subbands that receive in the bandwidth;
Described processor is arranged to:
Be identified for the quality metrics of each subband in the bandwidth;
Selection has M the subband that M best in quality measured, and wherein M is less than the sum of the subband in the described bandwidth;
Determine not to be included in the described mean value of measuring with all interior subbands of M subband that best in quality measures;
A described M quality metrics and described mean value are compressed; And
Transmit measuring and mean value after compressing.
34, WTRU according to claim 33, wherein said processor are configured to determine that CQI (CQI) is used as described quality metrics.
35, WTRU according to claim 33, wherein,
Described processor is arranged in the following manner and compresses:
Formation comprises the vector of a described M quality metrics and described mean value;
Described vector is applied compressed transform to obtain the vector after the compression; And
Described transmitter is arranged to:
Transmit the vector after the described compression.
36, WTRU according to claim 35, wherein said processor are arranged at least one component in the vector after removing described compression before the vector after transmitting described compression.
37, WTRU according to claim 36, wherein said processor are configured to remove described at least one component and loss of information not.
38, WTRU according to claim 35, wherein said processor are configured to use Haar transform as described compressed transform.
39, WTRU according to claim 33, wherein,
Described processor is arranged to:
Be identified for M the best metric of each layer in a plurality of extra-code layers;
Determine the mean value of each layer in the described extra-code layer;
M the best metric and the mean value of all yards layer are combined into matrix; With
By being applied the two dimensional compaction conversion, described matrix compresses; And
Described transmitter is arranged to:
Transmit the matrix after compressing.
40, according to the described WTRU of claim 39, wherein said processor is configured to apply two-dimentional Haar transform and is used as described two dimensional compaction conversion.
41, WTRU according to claim 33, wherein,
Described processor is arranged to the peaceful mean quantization of measuring after the described compression is become a plurality of bits; And
Described transmitter is arranged to and transmits described bit at least two Transmission Time Interval.
42, a kind of wireless transmitter/receiver unit, this wireless transmitter/receiver unit comprises:
Receiver;
Transmitter; And
Processor;
Described receiver is arranged to:
On transmission band, receive;
Described processor is arranged to:
Be identified for the quality metrics of each the sub-piece in the transmission band;
According to the ordering of determined quality metrics and described transmission band is divided into piecemeal, so that each sub-piece belongs to a piecemeal;
For each piecemeal, select to have M the subband that M best in quality measured;
For each piecemeal, obtain the mean value that is not included in M the quality metrics that is used for sub-piece in selected the measuring;
For each piecemeal, a described M best metric and described mean value are compressed; And
For each piecemeal, transmit M best metric and mean value after the compression.
43, according to the described WTRU of claim 42, wherein said processor is configured to determine that channel quality index (CQI) is used as quality metrics.
44, according to the described WTRU of claim 42, wherein,
Described processor is arranged in the following manner and compresses:
Formation comprises the vector of a described M best metric and described mean value; And
Described vector is applied compressed transform to obtain the vector after the compression; And
Described receiver is arranged to:
Transmit the vector after the described compression.
45, according to the described WTRU of claim 44, wherein said processor is arranged at least one component in the vector after removing described compression before the vector after transmitting described compression.
46, according to the described WTRU of claim 45, wherein said processor is arranged at least one component of removing the vector after the compression and loss of information not.
47, according to the described WTRU of claim 44, wherein said processor is configured to apply the Ha Er variation and is used as described compressed transform.
48, a kind of wireless transmitter/receiver unit, this wireless transmitter/receiver unit comprises:
Receiver;
Transmitter; And
Processor;
Described receiver is arranged to and receives a plurality of Resource Block groups (RBG);
Described processor is arranged to:
Measurement is used for the quality metrics of each Resource Block group;
Described a plurality of RBG are divided into N group, wherein N＞1;
Quality metrics to the RBG in the group in described group during first report interval compresses; With
Quality metrics to each group in remaining N-1 the group in the follow-up Transmission Time Interval in described first interval compresses;
Described transmitter is arranged to:
During described first report interval, transmit the quality metrics after the compression of the RBG in the group being used for described group; With
In follow-up Transmission Time Interval, transmit the quality metrics after the compression be used for described remaining N-1 each group of organizing.
49, according to the described WTRU of claim 48, wherein,
Described processor is arranged to and compresses described quality metrics in the following manner:
Formation comprises the vector of described quality metrics;
Described vector is applied compressed transform to obtain the vector after the compression; And
Described transmitter is arranged to:
Transmit the vector after the described compression.
50, according to the described WTRU of claim 49, wherein said processor is arranged at least one component in the vector after removing described compression before the vector after transmitting described compression.
51, according to the described WTRU of claim 50, wherein said processor is arranged at least one component of removing the vector after the compression and loss of information not.
52, according to the described WTRU of claim 49, wherein said processor is configured to apply the Ha Er variation and is used as described compressed transform.
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US89507907P | 2007-03-15 | 2007-03-15 | |
| US60/895,079 | 2007-03-15 | ||
| US60/914,397 | 2007-04-27 | ||
| US60/942,554 | 2007-06-07 |
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| Publication Number | Publication Date |
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| CN101632317A true CN101632317A (en) | 2010-01-20 |
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| CN200880008518A Pending CN101632317A (en) | 2007-03-15 | 2008-03-14 | Method and apparatus for feedback overhead reduction in wireless communications |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014194727A1 (en) * | 2013-06-08 | 2014-12-11 | 中兴通讯股份有限公司 | Method and apparatus for processing channel quality feeding back |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014194727A1 (en) * | 2013-06-08 | 2014-12-11 | 中兴通讯股份有限公司 | Method and apparatus for processing channel quality feeding back |
| CN104243027A (en) * | 2013-06-08 | 2014-12-24 | 中兴通讯股份有限公司 | Channel quality feedback processing method and device |
| CN104243027B (en) * | 2013-06-08 | 2018-11-09 | 南京中兴软件有限责任公司 | Channel-quality feedback processing method and processing device |
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