CN103780362B - Link performance prediction method and system based on MMIB in a kind of LTE system - Google Patents

Link performance prediction method and system based on MMIB in a kind of LTE system Download PDF

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CN103780362B
CN103780362B CN201210412099.7A CN201210412099A CN103780362B CN 103780362 B CN103780362 B CN 103780362B CN 201210412099 A CN201210412099 A CN 201210412099A CN 103780362 B CN103780362 B CN 103780362B
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code block
average
mmib
mutual information
bit
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CN103780362A (en
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颜含
胡亚辉
慈松
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Institute of Acoustics CAS
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Abstract

The invention provides the link performance prediction method and system based on MMIB in a kind of LTE system, methods described is included:Step 101)Transmitting terminal obtains the original code block of current transmission code block and its retransmits the equivalent signal-to-noise ratio of code block, and the equivalent signal-to-noise ratio is obtained according to the signal to noise ratio of each symbol in the transmission code block of the feedback of receiving terminal;Step 102) transmitting terminal obtains the average bit mutual information of the code block according to the average number of repetition mapping of all symbols in the equivalent signal-to-noise ratio of each code block for obtaining and code block during using rate-matched strategy, and it is described that code block is comprising original code block and its retransmits code block;Step 103)Transmitting terminal merges original code block and retransmits the average bit mutual information of code block, obtains the average eguivalent bit mutual information of current transmission code block;Step 104)Average eguivalent bit mutual information mapping according to current transmission code block under additive white Gaussian noise channel obtains Block Error Rate, completes the prediction to link layer link situation.

Description

Link performance prediction method and system based on MMIB in a kind of LTE system
Technical field
The present invention relates to the link performance prediction technology in LTE, and in particular to the link based on MMIB in a kind of LTE system Performance prediction method and system.
Background technology
Following system of broadband wireless communication will meet the various integrated service demands from speech to multimedia, it is desirable to have The quick transmission of content is realized on the frequency spectrum resource of limit.Multiple-input and multiple-output (MIMO) technology is filled and is utilized space resources, using many Weight antenna realizes MIMO, in the case where that need not increase frequency spectrum resource and antenna transmit power, can exponentially improve Channel capacity.OFDM (OFDM) is a kind of multicarrier narrow band transmission technology, mutually orthogonal between its subcarrier, can be with Efficiently utilize frequency spectrum resource.The effective combination of the two can overcome the bad shadow that multipath effect and frequency selective fading are brought Ring, improve frequency spectrum resource utilization rate, increase power system capacity.In order to further improve the reliability of data transfer, in radio communication The data link layer of system retransmits (HARQ) technology using hybrid automatic request.HARQ is forward error correction coding (FEC) and automatic The product that repeat requests (ARQ) are combined.FEC, can be certain to error correction redundant information is added in grouped data waiting for transmission In the range of protect data transfer integrality and reliability.But the mistake occurred in grouped data exceeds the protection domain of error correcting code When, then the re-transmission of packet is carried out by ARQ.MIMO-OFDM and HARQ together constitutes next generation communication system (LTE) Key technology, therefore, the MIMO-OFDM research on system technology comprising HARQ mechanism is the hot issue of current research.
In the emulation of LTE system level and cross-layer optimizing, for RES(rapid evaluation system) performance, it is necessary to accurately be built to link Imitate true, in current research, generally using link performance prediction (LEP) technology.Link performance prediction technology is by one The individual algorithm with reasonable complexity, accurately predicts the instant performance of link, and it is general that this performance indications is usually transmission error Rate, such as Packet Error Ratio (PER).In past research work, several link performance prediction algorithms are proposed out, such as equivalent finger Number signal to noise ratio mapping (EESM), average Real-time Channel capacity (MIC), received bit information rate (RBIR), average bit mutual information (MMIB) etc..Compared to more other algorithms, MMIB algorithms have forecasting accuracy higher, and do not require terminal using consistent Modulation and coded system so that the adaptive modulation and coding process of the more applicable LTE of the algorithm.But summarize current research work Make, however it remains not enough below.First, current MMIB algorithms do not account for adaptive HARQ mechanism, therefore, analysis bag is containing certainly The MMIB computation models for adapting to be brought after HARQ mechanism change, and become the problem that new link prediction algorithm needs to solve; Secondly, LTE medium-rate matching mechanisms cause to transmit the repetition or perforation of code block, and then cause that receiving terminal obtains the solution of multi-form Code gain, this is not also embodied sufficiently in current link-aware algorithm, and the present invention will be not enough for this 2 points, carry Go out a kind of MIMO-OFDM HARQ system link prediction methods based on MMIB, realize compared with ground complexity and high accuracy Link performance prediction technology.
It is as follows that English writes a Chinese character in simplified form corresponding Chinese full name:
AWGN:Additive white Gaussian noise;
MMIB:Average bit mutual information;
MIMO:Multiple-input and multiple-output;
OFDM:OFDM;
HARQ:Hybrid automatic request is retransmitted.
The content of the invention
It is an object of the present invention to overcome above mentioned problem, the invention provides the chain based on MMIB in a kind of LTE system Road performance prediction method and system.
To achieve these goals, the invention provides a kind of link performance prediction method based on MMIB in LTE system, The method is used for the link circuit condition of the data link layer of real-time estimate LTE system transmitting terminal and receiving terminal, and methods described is included:
Step 101) transmitting terminal obtain current transmission code block original code block and its retransmit code block equivalent signal-to-noise ratio, this etc. The signal to noise ratio of each symbol in the original code block and its re-transmission code block of the current transmission code block that effect signal to noise ratio is fed back according to receiving terminal Obtain;
Step 102) transmitting terminal according to obtain above-mentioned each code block equivalent signal-to-noise ratio and using rate-matched strategy when it is each The average number of repetition mapping of all symbols obtains the average bit mutual information of each code block in code block;
Step 103) transmitting terminal merging upper the step original code block for obtaining and the average bit mutual information for retransmitting code block, finally Obtain the average eguivalent bit mutual information of current transmission code block;
Step 104) the average eguivalent bit mutual information of foundation current transmission code block reflects under additive white Gaussian noise channel Penetrate and obtain Block Error Rate, complete the prediction to link layer link situation.
In above-mentioned technical proposal, the step 101) further include:
When transmitting code block i & lt and retransmitting, the exponent number of modulating-coding is ni, symbol numbers are Li, the signal to noise ratio vector of symbol It isThe then symbolic equivalent signal to noise ratio of the transmission code blockFormula it is as follows:
Wherein In(γ) is defined as follows,
In(γ)=n-EY[Γ]
Wherein, n is the exponent number of modulating-coding, and A is 2nIndividual assemble of symbol;For i bits are the assemble of symbol of b, b values 0 Or 1, Y~N (0,1), and N (0,1) represents normal distyribution function.
In above-mentioned technical proposal, the step 102) further include:
Step 102-1) it is used to obtain the mutual information of the symbol included in each code block:
The equivalent signal-to-noise ratio of each symbol is in code block is transmittedThe order of modulation of modulating-coding is ni, rate-matched mistake The Symbol average number of repetition of the transmission code block is in journeyThen the mutual information formula of the transmission code block symbols is:
Step 102-2) it is used for the average bit mutual information that the mutual information based on transmission each symbol of code block obtains the code block:
First average bit mutual information of the transmission code block is further represented as:
Wherein, niModulating-coding exponent number when being retransmitted for i & lt.
In above-mentioned technical proposal, the step 103) further include:
Step 103-1) obtain the number of retransmissions for using HARQ strategy code-aiming blocks;
Step 103-2) to obtain the data bit that transmitting terminal sent when retransmitting every time effective via the data after channel coding Length;
Step 103-3) each average bit is merged using following formula according to average bit mutual information, number of retransmissions and effective length Mutual information obtains average eguivalent bit mutual information:
Wherein, CiData effective length when representing that i & lt is transmitted, F represents number of retransmissions, MMIBiRepresent that i & lt retransmits code Average bit mutual information during block.
In above-mentioned technical proposal, when the data bit digit is D, and assume i-ththThe coding of channel during secondary transmission Code check isThen average eguivalent bit mutual information formula is:
Based on the above method present invention also offers the link performance prediction system based on MMIB in a kind of LTE system, its It is characterised by, described system is included:
Equivalent signal-to-noise ratio mapping block, for obtaining the original code block of current transmission code block and its retransmitting the equivalent letter of code block Make an uproar and compare, the equivalent signal-to-noise ratio is according to each symbol in the original code block and its re-transmission code block of the current transmission code block of receiving terminal feedback Signal to noise ratio obtain;
The average bit mutual information mapping block of code block, for according to obtain each code block equivalent signal-to-noise ratio and use speed The average number of repetition mapping of all symbols obtains the average bit mutual information of each code block in each code block during matching strategy;
Average eguivalent bit mutual information acquisition module, for the average bit for merging the original code block for obtaining and retransmit code block Mutual information, the final average eguivalent bit mutual information for obtaining current transmission code block;With
Block Error Rate acquisition module, for the average eguivalent ratio under additive white Gaussian noise channel according to current transmission code block Special mutual information mapping obtains Block Error Rate, completes the prediction to link layer link situation.
In above-mentioned technical proposal, the equivalent signal-to-noise ratio mapping block obtains receiving all symbols in code block according to following formula Equivalent signal-to-noise ratio:
Wherein In(γ) is defined as follows:
In(γ)=n-EY[Γ]
Wherein, A is 2nIndividual assemble of symbol;For i bits are the assemble of symbol of b, Y~CN (0,1).
In above-mentioned technical proposal, the average bit mutual information mapping block of code block is further included:
The mutual bit information acquisition submodule of symbol in code block, the mutual bit for obtaining the symbol included in each code block is believed Breath, the equivalent signal-to-noise ratio of symbol in code block is receivedAssuming that in rate matching procedure the code block Symbol average number of repetition ForThe mutual information formula of then symbol is:
Average bit mutual information acquisition submodule, the average bit mutual trust of code block is obtained for the mutual information based on each symbol Breath, the first average bit mutual information of the transmission code block is further represented as:
In above-mentioned technical proposal, the average eguivalent bit mutual information acquisition module is further included:
Information gathering submodule, when number of retransmissions and transmitting terminal for obtaining using HARQ strategy code-aiming blocks are retransmitted every time The data bit of transmission is via the data effective length after channel coding;
Treatment submodule, for the number of retransmissions exported according to average bit mutual information and information gathering submodule and has Effect length merges each average bit mutual information and obtains average eguivalent bit mutual information using following formula:
Wherein, CiData effective length when representing that i & lt is transmitted, F represents number of retransmissions, MMIBiRepresent that i & lt retransmits code Average bit mutual information during block.
In above-mentioned technical proposal, when the data bit digit is D, and assume i-ththThe coding of channel during secondary transmission Code check isThen average eguivalent bit mutual information formula is:
Compared with prior art, technical advantage of the invention is:
New MMIB link prediction algorithms have the advantage that:Adaptive HARQ mechanism has been taken into full account first;Secondly, newly Algorithm considers the influence that LTE medium-rate matching mechanisms are brought.This 2 points by the prediction for causing new link prediction algorithm more Plus meet actual system.Based on this new link prediction algorithm, on the one hand can be obtained more when system integration project is carried out Accurate Link State, reduces the complexity of emulation;On the other hand can be based in actual applications this with compared with high precision The link prediction algorithm of degree designs various link adaptation algorithms, and such as adaptive coding and modulating mode in transmitting terminal is selected.
Brief description of the drawings
The new link performance prediction method that Fig. 1 is provided for the present invention;
Fig. 2 is the rate matching procedure modeling schematic diagram in LTE of the present invention;
Fig. 3 is the average bit mutual information computation model schematic diagram for merging and retransmitting code block of the invention.
Specific embodiment
Embodiments of the present invention are further described below in conjunction with the accompanying drawings.
The core of link performance prediction technology is to provide one to have reasonable complexity and can be according to the channel of physical layer State obtains the computation model for being wirelessly transferred error probability under the channel condition.Usual physical channel state is by a series of channels Response H and SNR determines that then the core of link performance prediction is to determine such as formula (1),
PER=f (H11,H22,...Hnn) (1)
Because a packet may be made up of one or more coded data blocks (Block), therefore link-aware calculates core The heart further indicated that as shown in formula (2),
PER=BLER (H11,H22,...Hnn) (2)
The thinking of MMIB algorithms is:Under awgn channel, BLER and MMIB has the mapping relations of determination;Therefore it is primarily based on Symbol signal to noise ratio snr derives MMIB, and then obtains BLER using the mapping relations between BLER and MMIB, finally gives wireless Transmission error probability PER.
Based on current MMIB algorithms, it is considered to the HARQ mechanism in LTE, the present invention proposes new MMIB link performance predictions Algorithm is as shown in figure 1, technical scheme is divided into including four steps:Equivalent signal-to-noise ratio is mapped, MMIB is calculated, etc. Effect MMIB mappings and MMIB-BLER mappings.Each symbol signal to noise ratio of code block is mapped as the equivalent signal-to-noise ratio of code block first; The order of modulation that second step is based on Symbol average number of repetition and this transmission code block in equivalent signal-to-noise ratio, rate-matched is obtained The MMIB of code block;3rd step merges the multiple code block MMIB for retransmitting, the equivalent MMIB after obtaining comprising adaptive HARQ mechanism; BLER is obtained finally according to mapping relations quantitative between BLER and MMIB under awgn channel.
1 equivalent signal-to-noise ratio maps
Assuming that the exponent number of modulating-coding during i-th (i=0,1,2,3) secondary re-transmission is ni, the symbol numbers of transmission block are Li, Receiving the SNR vectors of symbol isEquivalent noise is obtained using Bit Interleaved Coded Modulation (BICM) capacity ThanSuch as formula(3)It is shown,
Wherein, Bit Interleaved Coded Modulation BICM capacity In(γ) is defined as follows,
In(γ)=n-EY[Γ]
Wherein, n is the exponent number of modulating-coding, and A is 2nIndividual assemble of symbol;For i bits are the assemble of symbol of b, b values 0 Or 1, Y~N (0,1), N(0,1)It is normal distribution.When source symbol equal-probability distribution, Bit Interleaved Coded Modulation BICM holds Amount is equal to the Average Mutual of each symbol.
2 MMIB are calculated
Obtain after transmission code block equivalent signal-to-noise ratio, the MMIB of transmission code block is calculated based on the equivalent signal-to-noise ratio.In LTE systems In the rate matching procedure of system, the fractional transmission bit in transmission code block is repeated or perforated, and then caused that receiving terminal is obtained Obtain the decoded gain of multi-form.In order to further describe the influence that rate-matched is calculated MMIB exactly, to LTE medium-rates Matching process modeling is as shown in Figure 2:Assuming that original data bits length is D, it is C, L by transmitting code block length after channel coding For the Resource Block of system distribution exports length, rcIt is channel encoding rate, numerical value pre-acquiring generally from system setting.Work as L>C, In order to match Resource Block output length, there is part or all of data bit to repeat when C bit datas are by Rate Matching block;Work as L< During C, eleven punch 11 will be entered to C bit datas, destroy partial redundance bit.It is noted that in the practical application of LTE, being Reduction encoding and decoding complexity, works as L<During C, sliced transmission is carried out to C, if will C point be stem portion, make the length of every part total L is less than, therefore the repetition of data is constantly present in LTE applications.
To sum up to the description of rate-matched mechanism, there is certain position in transmission data block and repeat, this will necessarily be docked The mutual information for receiving code block is impacted, and can use accumulative conditional mutual information(ACMI)To calculate mutual information such as public affairs when symbol is repeated Formula(5)It is shown,
γ in formulaiIt is the SNR of each symbol, M is symbol number of repetition.
Obtain receiving the equivalent signal-to-noise ratio of symbol in code block in prior moduleAssuming that the code in rate matching procedure The Symbol average repetitive rate of block is(The value is obtained by specific speed matching algorithm), then the mutual information such as public affairs of symbol are obtained Formula(6)It is shown:
Shown in the MMIB of the transmission code block such as formula (7),
3 equivalent MMIB mappings
The mode that difference and receiving terminal according to packet content is retransmitted merge decoding is different, and HARQ points is three species Type:I type HARQ, II type HARQ, III type HARQ.Generally stop etc. I using self adaptation, multi-channel parallel in LTE practical applications Type HARQ.In the HARQ of the type, when the code block that receives occur correcting it is wrong when, receiving terminal request transmitting terminal weight The code block is newly transmitted, the code block for transmitting again can individually be decoded and also merge decoding with code block before.
In LTE downlink transmissions, the code block is being resend as a result of adaptive HARQ mechanism, i.e. transmitting terminal When, optimal Modulation and Coding Scheme can be selected according to current channel conditions, the bit error rate is farthest reduced, the present invention is different In previous link-aware algorithm, it will be considered that this adaptation mechanism calculates brought influence to mutual information.To merge multiple The MMIB computation models after code block are retransmitted as shown in figure 3, the MMIB of code block regards F individually transmission code as after F re-transmission is merged The MMIB weighted averages of block, each individually transmits code block has different MMIB and effective length C, then the equivalent MMIB after merging Calculate as shown in formula (8),
Assuming that it is D to send data bit digit, in ithDuring secondary transmission, channel coding code check isThenKnot Formula (7) and (8) is closed, can further be obtained shown in equivalent MMIB such as formula (9),
4 MMIB-BLER map
Exist under awgn channel, between MMIB and BLER shown in the mapping relations such as formula (10) for determining,
Wherein b and c are the constants related to code block length and encoding rate.
Based on the MMIB that preceding step is obtained, using the mapping relations between MMIB and BLER, system link can be obtained BLER.
It should be noted last that, the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted.Although ginseng The present invention has been described in detail according to embodiment, it will be understood by those within the art that, to technical side of the invention Case is modified or equivalent, and without departure from the spirit and scope of technical solution of the present invention, it all should cover in the present invention Right in the middle of.

Claims (6)

1. the link performance prediction method of MMIB is based in a kind of LTE system, and the method is used for real-time estimate LTE system transmitting terminal With the link circuit condition of the data link layer of receiving terminal, methods described includes:
Step 101) transmitting terminal obtain current transmission code block original code block and its retransmit code block equivalent signal-to-noise ratio, the equivalent letter Make an uproar and obtained than the signal to noise ratio of each symbol in the original code block and its re-transmission code block of the current transmission code block according to receiving terminal feedback;
Step 102) transmitting terminal according to obtain above-mentioned each code block equivalent signal-to-noise ratio and using rate-matched strategy when each code block In the average number of repetition mapping of all symbols obtain the average bit mutual information of each code block;
Step 103) transmitting terminal merging the above-mentioned steps original code block for obtaining and the average bit mutual information for retransmitting code block, finally obtain Obtain the average eguivalent bit mutual information of current transmission code block;
Step 104) the average eguivalent bit mutual information of foundation current transmission code block maps under additive white Gaussian noise channel To Block Error Rate, the prediction to link layer link situation is completed.
2. the link performance prediction method of MMIB is based in LTE system according to claim 1, it is characterised in that described Step 103) further include:
Step 103-1) obtain the number of retransmissions for using HARQ strategy code-aiming blocks;
Step 103-2) data bit sent when transmitting terminal is retransmitted every time is obtained via the data effective length after channel coding;
Step 103-3) each average bit mutual trust is merged using following formula according to average bit mutual information, number of retransmissions and effective length Breath obtains average eguivalent bit mutual information:
M M I B = &Sigma; i = 1 F C i MMIB i &Sigma; i = 1 F C i
Wherein, CiData effective length when representing that i & lt is transmitted, F represents number of retransmissions, MMIBiWhen representing that i & lt retransmits code block Average bit mutual information.
3. the link performance prediction method of MMIB is based in LTE system according to claim 2, it is characterised in that work as institute When stating data bit digit for D, and assume i-ththThe encoder bit rate of channel is during secondary transmissionThen average eguivalent bit mutual trust Ceasing formula is:
MMIB e f f = &Sigma; i = 0 F 1 r c i * MMIB i &Sigma; i = 0 F 1 r c i .
4. the link performance prediction system of MMIB is based in a kind of LTE system, it is characterised in that described system is included:
Equivalent signal-to-noise ratio mapping block, for obtaining the original code block of current transmission code block and its retransmitting the equivalent noise of code block Than the equivalent signal-to-noise ratio is according to each symbol in the original code block and its re-transmission code block of the current transmission code block of receiving terminal feedback Signal to noise ratio is obtained;
The average bit mutual information mapping block of code block, for according to obtain each code block equivalent signal-to-noise ratio and use rate-matched The average number of repetition mapping of all symbols obtains the average bit mutual information of each code block in each code block when tactful;
Average eguivalent bit mutual information acquisition module, for the average bit mutual trust for merging the original code block for obtaining and retransmit code block Breath, the final average eguivalent bit mutual information for obtaining current transmission code block;With
Block Error Rate acquisition module, it is mutual for the average eguivalent bit according to current transmission code block under additive white Gaussian noise channel Information MAP obtains Block Error Rate, completes the prediction to link layer link situation.
5. the link performance prediction system of MMIB is based in LTE system according to claim 4, it is characterised in that described Average eguivalent bit mutual information acquisition module is further included:
Information gathering submodule, number of retransmissions and transmitting terminal for obtaining using HARQ strategy code-aiming blocks send when retransmitting every time Data bit via the data effective length after channel coding;
Treatment submodule, for the number of retransmissions exported according to average bit mutual information and information gathering submodule and effective length Degree merges each average bit mutual information and obtains average eguivalent bit mutual information using following formula:
M M I B = &Sigma; i = 1 F C i MMIB i &Sigma; i = 1 F C i
Wherein, CiData effective length when representing that i & lt is transmitted, F represents number of retransmissions, MMIBiWhen representing that i & lt retransmits code block Average bit mutual information.
6. the link performance prediction system of MMIB is based in LTE system according to claim 5, it is characterised in that work as institute When stating data bit digit for D, and assume i-ththThe encoder bit rate of channel is during secondary transmissionThen average eguivalent bit mutual trust Ceasing formula is:
MMIB e f f = &Sigma; i = 0 F 1 r c i * MMIB i &Sigma; i = 0 F 1 r c i .
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