CN102123012A - Link error rate predicting method and system - Google Patents
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Abstract
The invention discloses a link error rate predicting method and a link error rate predicting system. The method comprises the following steps of: mapping a modulated symbol signal to interference noise ratio (SINR) into a bit SINR by calculating the SINR restrained by a channel condition and a receiver; converting the bit SINR into the same code rate through rate de-matching; and performing effective SINR mapping and querying an error rate curve so as to obtain an error rate predicted finally. In the invention, a solution flow for predicting the error rates of mixed automatic retransmission request links having higher generality and lower complexity is provided, and specific operation of each step is defined simultaneously. By the method, the error rates of various mixed automatic retransmission request links can be predicated rapidly and effectively.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of link error rate Forecasting Methodology and system of the link based on hybrid automatic repeat request technology.
Background technology
The prediction of link error rate is meant that the emission reception technique according to current radio channel response and physical link comes estimated information under the current wireless channel situation, takes the data block error probability of current emission reception technique.The prediction of link error rate is a kind of technology relative with dynamic error emulation, be mainly used in other emulation of communication system level, method by statistics, but not monte carlo method, predict the link error rate, the time complexity of communication system rank emulation can be reduced greatly, simultaneously, higher precision can be obtained.The error rate of prediction link is mainly used in the system emulation of scientific research of radio communication; system emulation is assessment and the research of carrying out some performance of system from the angle of a system; usually can relate to a large amount of physical links; if every all also processing of process emission, wireless physical channel and reception of actual transmission information of link; time can be very long; can't effectively obtain simulation result in the time; therefore, adopt the error rate forecast method of link to shorten the system emulation time.Since the prediction of the error rate of link at be the effect of information emission, wireless physical channel and three aspects of reception, therefore, the dissimilar technology that transmits and receives, have different link error rate forecast method, general calculating thinking is to calculate Signal to Interference plus Noise Ratio according to wireless physical channel and concrete reception technique, then according to the Signal to Interference plus Noise Ratio acquisition error rate of tabling look-up, the table of inquiry wherein can be reused, a general table that obtains by a large amount of emulation before calculating)
Mixing automatic repeat requests is a kind of error control method that forward error correction coding and automatic repeat requests are combined, its utilization combines the advantage of forward error correction coding and automatic repeat requests, can be adaptively provide accurate code rate to regulate, and compensation be owing to adopt error code that link adaptation brings to improve systematic function based on wireless channel conditions.Hybrid automatic repeat request technology is a kind of automatic repeat requests technology that synergy that a kind of medium by wireless communication protocol are got involved key-course and physical layer realizes, (Long Time Evolution LTE) has obtained utilization in the WiMAX agreement of agreement and IEEE at the Long Term Evolution of third generation affiliate tissue (3GPP).The application of hybrid automatic repeat request technology has promoted the performance of system greatly.
In current communication The Research of Relevant Technology, especially in the standard formulation process of the later release 802.16m of the further research of LTE and WiMAX and LTE-A (LTE Advanced) and WiMAX, need carry out the prediction of link error rate at link with hybrid automatic repeat request technology, therefore, some link error rate Forecasting Methodologies have been produced at this link, the effective Signal to Interference plus Noise Ratio of the average mutual information of bit (the signal to interference noise ratio that mentions as document " Krishna Sayana; Jeff Zhuang; Ken Stewart Link Performance Abstract ion based on Mean Mutual Information per Bit (MMIB) of the LLR Channel IEEE C802.16m-07/0972007-05-03 ", SINR) mapping (Mean Mutual Information per Bit Effective SINR Mapping, MMIB-ESM) method, though can be used in, the method mixes automatic repeat requests link error rate prediction, but the method complexity is very high, and document does not provide concrete application process;
In addition, document " Brian Classon; Philippe Sartori; Yufei Blankenship; Kevin Baum; Robert Love; Yakun Sun Efficient OFDM-mixes automatic repeat requests System Evaluation Using a Recursive EESM Link Error Prediction " has provided a kind of effective Signal to Interference plus Noise Ratio mapping of index (Exponential Effective SINR Mapping that uses iteration form, EESM) method, the method has provided the expression formula that merges at the automatic repeat requests of the mixing that mixes automatic repeat requests link prediction, and the method for taking iteration comes the error rate of link is predicted, but because the limitation of the effective Signal to Interference plus Noise Ratio mapping algorithm of index itself, can't predict the automatic repeat requests of adaptive mixing, therefore, the method that provides of document can't retransmit link error rate forecast method automatically as a kind of effectively general mixing.
Summary of the invention
The object of the present invention is to provide a kind of link error rate Forecasting Methodology and system, it has provided the solution flow process of the automatic repeat requests link error of the mixing rate prediction that possesses strong versatility and lower complexity, simultaneously, the concrete operations of each step have been defined, by the method, can predict the error rate of the automatic repeat requests link of multiple mixing fast and effectively.
Be a kind of link error rate Forecasting Methodology that realizes that purpose of the present invention provides, Signal to Interference plus Noise Ratio by calculating channel condition and receiver constraint, the modulation symbol Signal to Interference plus Noise Ratio is mapped as the bit Signal to Interference plus Noise Ratio, then by going rate-matched that the bit Signal to Interference plus Noise Ratio is converted into identical code check, carry out effective Signal to Interference plus Noise Ratio mapping and inquiry error rate curve, obtain the error rate of final prediction.
Described method comprises the following steps:
In the step 200, described mapping method is to adopt error probability to equate equivalent method, as according to formula:
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, the modulation symbol Signal to Interference plus Noise Ratio of QPSK is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK.
In the step 300, described mapping method, employing be the mode of going rate-matched that LTE carries out when receiving.
In the step 400, adopt formula:
Wherein γ represents Signal to Interference plus Noise Ratio, shines upon.
For realizing that purpose of the present invention also provides a kind of link error rate prognoses system, described system is by the Signal to Interference plus Noise Ratio of calculating channel condition and receiver constraint, the modulation symbol Signal to Interference plus Noise Ratio is mapped as the bit Signal to Interference plus Noise Ratio, then by going rate-matched that the bit Signal to Interference plus Noise Ratio is converted into identical code check, carry out effective Signal to Interference plus Noise Ratio mapping and inquiry error rate curve, obtain the error rate of final prediction.
Described system comprises:
Symbol Signal to Interference plus Noise Ratio computing unit is used to obtain current physical channel response, according to the receiver of described physical channel response and link, calculates the symbol Signal to Interference plus Noise Ratio of current each information symbol;
Modulation system normalization unit is used for the symbol Signal to Interference plus Noise Ratio of the modulation symbol under the different modulating mode is mapped as one or more bit Signal to Interference plus Noise Ratio according to self modulation system;
Data rate normalization unit is used for the bit Signal to Interference plus Noise Ratio under the different pieces of information code rate is mapped as identical data rate according to self data rate;
Effectively the Signal to Interference plus Noise Ratio computing unit be used for the bit Signal to Interference plus Noise Ratio of this transmission and the bit Signal to Interference plus Noise Ratio of transmission last time are merged, and the bit Signal to Interference plus Noise Ratio after will merging is mapped as effective Signal to Interference plus Noise Ratio;
The error rate matching unit is used for coming the inquiry error rate curve according to effective Signal to Interference plus Noise Ratio, obtains the error rate of final prediction.
Described modulation system normalization unit adopts probability to equate equivalent method, according to formula:
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, the modulation symbol Signal to Interference plus Noise Ratio of QPSK is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK.
The mode of going rate-matched that described data rate normalization unit carries out when adopting LTE to receive.
Described effective Signal to Interference plus Noise Ratio computing unit adopts formula:
Wherein γ represents Signal to Interference plus Noise Ratio, shines upon.
The invention has the beneficial effects as follows:
A kind of link error rate Forecasting Methodology of the present invention and system, possess efficient and to mixing the pervasive characteristics of automatic repeat requests link, effective support has been carried out in system level emulation in the research of communication standard and the relevant standardization effort, shorten the simulation time of related work, promoted the efficient of related work.
Description of drawings
Fig. 1 is the flow chart of steps of a kind of link error rate Forecasting Methodology of the present invention;
Fig. 2 is the structural representation of a kind of link error rate prognoses system of the present invention;
Fig. 3 is the schematic flow sheet of an embodiment of link error rate Forecasting Methodology of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, a kind of link error rate Forecasting Methodology of the present invention and system are further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
A kind of link error rate Forecasting Methodology of the present invention and system, can be applicable to each type of hybrid automatic repeat request technology, include but not limited to that the automatic repeat requests of asynchronous mixing, synchronous hybrid automatic repeat request, the automatic repeat requests of ADAPTIVE MIXED, non-self-adapting mix automatic repeat requests, simultaneously, this method can be applicable to the various foldings of mixing automatic repeat requests, include but not limited to follow the tracks of merging (Chase Combining, CC), incremental redundancy (Incremental Redundancy, IR).
The core of the automatic repeat requests technology of ADAPTIVE MIXED is meant in the process of data re-transmission, take to transmit or different data-modulated mode and the digital coding speed of re-transmission last time with first, but not the core of the automatic repeat requests technology of ADAPTIVE MIXED then is meant in the process of data re-transmission, takes and transmits or retransmitted last time identical data-modulated mode and digital coding speed for the first time.We can say that the non-self-adapting hybrid automatic repeat request technology is special circumstances of self adaptation repeat requests technology.Therefore, to well support the automatic repeat requests of ADAPTIVE MIXED exactly to the core that the link error rate of mixing automatic repeat requests is predicted, the present invention take with different modulation system unifications be mapped as identical a kind of basic modulation system, method that different digital coding speed is converted into identical a kind of basic data code rate supports the automatic repeat requests of ADAPTIVE MIXED, simultaneously, in the process of mapping, take mode efficiently, guarantee high efficiency of the present invention.
Introduce a kind of link error rate Forecasting Methodology of the present invention in detail below in conjunction with above-mentioned target, described method at first obtains concrete physical channel conditions according to channel condition, then, the Signal to Interference plus Noise Ratio of calculating channel condition and receiver constraint, then, the modulation symbol Signal to Interference plus Noise Ratio is mapped as the bit Signal to Interference plus Noise Ratio, then by going rate-matched that the bit Signal to Interference plus Noise Ratio is converted into identical code check, then, mix the merging of automatic repeat requests, at last, carry out effective Signal to Interference plus Noise Ratio mapping and the corresponding error rate of inquiry, be the error rate of the automatic repeat requests link of mixing corresponding under the current channel condition.
Fig. 1 is the flow chart of steps of a kind of link error rate Forecasting Methodology of the present invention, and as shown in Figure 1, described link error rate Forecasting Methodology specifically comprises the steps:
The physical channel response is to be generated by the physical channel model of choosing according to the needs of system emulation research, such as Rayleigh channel, Rice's channel, typical urban channel, space channel model etc., to produce the typical urban channel response is example, the parameters such as time of channel response are set at first according to demand, and the simulation code that moves concrete model then promptly can produce needed physical channel response.
Signal can need through modulation treatment Bit String to be modulated to complex symbol at physical link, and these complex symbols are exactly information symbol.
Described modulation system normalization, the principle of employing are to equate method of equal value according to probability, and the formula that is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK such as the modulation symbol Signal to Interference plus Noise Ratio with QPSK is:
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, that is to say that the Signal to Interference plus Noise Ratio of a QPSK symbol can equivalence be the symbol Signal to Interference plus Noise Ratio of two BPSK, and so the Signal to Interference plus Noise Ratio of all the other modulation systems can equivalence be the symbol Signal to Interference plus Noise Ratio of BPSK also.
For another example, according to formula:
And formula
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, the modulation symbol Signal to Interference plus Noise Ratio of 16QAM is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK.
The mode that described step 400 adopts is to go rate-matched with what the data of different speed were unified, be exactly with the folding addition of long data, with short data zero filling, the mode that can adopt has a variety of, as a kind of embodiment, the present invention adopts in the process that realizes is the mode of going rate-matched of carrying out when LTE receives.
The effective Signal to Interference plus Noise Ratio mapping of step 600. index: the bit Signal to Interference plus Noise Ratio after will merging is mapped as effective Signal to Interference plus Noise Ratio;
The mode of this mapping is:
Wherein γ represents Signal to Interference plus Noise Ratio.
Described error rate curve is that the link of the basic reception technique of employing under specific modulation mode and specific code check is under additive white Gaussian noise channel, under additive white Gaussian noise channel, adopt basic transmitter and basic receiver, the link Signal to Interference plus Noise Ratio curve corresponding that emulation mode by the Monte Carlo obtains with error rate, be the datum curve of error rate prediction, obtain by a large amount of link simulations in early stage.
The modulation system that adopts is BPSK, and channel coding rate is 1/3, and what obtain is that a transverse axis is a Signal to Interference plus Noise Ratio, and the longitudinal axis is the curve of link error rate.The effective Signal to Interference plus Noise Ratio that obtains according to step 600 is inquired about this curve and can be obtained final link error rate.
Corresponding to a kind of link error rate Forecasting Methodology of the present invention, a kind of link error rate prognoses system also is provided, described system is by the Signal to Interference plus Noise Ratio of calculating channel condition and receiver constraint, the modulation symbol Signal to Interference plus Noise Ratio is mapped as the bit Signal to Interference plus Noise Ratio, then by going rate-matched that the bit Signal to Interference plus Noise Ratio is converted into identical code check, carry out effective Signal to Interference plus Noise Ratio mapping and inquiry error rate curve, obtain the error rate of final prediction.
As a kind of embodiment, Fig. 2 is the structural representation of a kind of link error rate prognoses system of the present invention, and as shown in Figure 2, described link error rate prognoses system comprises:
Symbol Signal to Interference plus Noise Ratio computing unit 1 is used to obtain current physical channel response, according to the receiver of described physical channel response and link, calculates the symbol Signal to Interference plus Noise Ratio of current each information symbol;
Modulation system normalization unit 2 is used for the symbol Signal to Interference plus Noise Ratio of the modulation symbol under the different modulating mode is mapped as one or more bit Signal to Interference plus Noise Ratio according to self modulation system;
Described modulation system normalization unit 2 adopts probability to equate equivalent method, according to formula:
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, the modulation symbol Signal to Interference plus Noise Ratio of QPSK is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK.
Data rate normalization unit 3 is used for the bit Signal to Interference plus Noise Ratio under the different pieces of information code rate is mapped as identical data rate according to self data rate;
The mode of going rate-matched that described data rate normalization unit 3 carries out when adopting LTE to receive.
Effectively Signal to Interference plus Noise Ratio computing unit 4 be used for the bit Signal to Interference plus Noise Ratio of this transmission and the bit Signal to Interference plus Noise Ratio of transmission last time are merged, and the bit Signal to Interference plus Noise Ratio after will merging is mapped as effective Signal to Interference plus Noise Ratio;
Described effective Signal to Interference plus Noise Ratio computing unit 4 adopts formula:
Wherein γ represents Signal to Interference plus Noise Ratio, shines upon.
Error rate matching unit 5 is used for coming the inquiry error rate curve according to effective Signal to Interference plus Noise Ratio, obtains the error rate of final prediction.
Be that example describes technical scheme of the present invention in detail with the error rate of predicting the link that retransmits for the first time below, suppose that transmitter comprises Turbo chnnel coding, rate-matched 2/3, QPSK modulation, OFDM, 2 transmitting antennas, wireless channel model is the SCM model, and receiver is 2 reception antennas, MMSE decoding, channel-decoding.
Fig. 3 is the schematic flow sheet of an embodiment of link error rate Forecasting Methodology of the present invention.As shown in Figure 3, specifically comprise the steps:
1, produces 1 millisecond the n time and mix channel response { h on the resource particle k that automatic repeat requests transmits
k}
n, and be transformed into frequency domain (10M system bandwidth);
2, according to the formula of 22 MMSE decodings of receiving, utilize the computing formula of Signal to Interference plus Noise Ratio then, calculate after the MMSE decoding the n time and mix QPSK symbol Signal to Interference plus Noise Ratio { SINR on the resource particle k that automatic repeat requests transmits
k}
n
3, according to the formula of QPSK to the symbol Signal to Interference plus Noise Ratio mapping of BPSK, the BPSK Signal to Interference plus Noise Ratio { SINR of the b bit on the resource particle k of the automatic repeat requests transmission of the n time mixing of acquisition equivalence
B, k}
n
4, adopt the rate-matched model that goes of LTE to add the symbol Signal to Interference plus Noise Ratio of 2/3 length the symbol Signal to Interference plus Noise Ratio of 1/3 length to, obtain mixing for the n time the b bit on the resource particle k that automatic repeat requests transmits Signal to Interference plus Noise Ratio SINR '
B, k}
n, corresponding code rate is 1/3;
The Signal to Interference plus Noise Ratio that mixes the b bit on the resource particle k that automatic repeat requests transmits for the n-1 time that 5, this re-transmission and last time was sent SINR '
B, k}
N-1The geometric ratio addition, obtain mixing for the n time Signal to Interference plus Noise Ratio after b bit on the resource particle k of automatic repeat requests transmission and last transmission merge SINR '
B, k}
N|n-1
6,, the Signal to Interference plus Noise Ratio of all data is mapped as an effective Signal to Interference plus Noise Ratio SINR according to the effective mapping method of Signal to Interference plus Noise Ratio
Eff
7, the effective Signal to Interference plus Noise Ratio SINR that uses step 6 to obtain
Eff, be transverse axis, inquiry error rate curve, the longitudinal axis of acquisition are the error rate BLER that mixes automatic repeat requests transmission for the n time
n
Beneficial effect of the present invention is:
A kind of link error rate Forecasting Methodology of the present invention and system, possess efficient and to mixing the pervasive characteristics of automatic repeat requests link, effective support has been carried out in system level emulation in the research of communication standard and the relevant standardization effort, shorten the simulation time of related work, promoted the efficient of related work.
In conjunction with the drawings to the description of the specific embodiment of the invention, others of the present invention and feature are conspicuous to those skilled in the art.
More than specific embodiments of the invention are described and illustrate it is exemplary that these embodiment should be considered to it, and be not used in and limit the invention, the present invention should make an explanation according to appended claim.
Claims (10)
1. link error rate Forecasting Methodology, it is characterized in that, the Signal to Interference plus Noise Ratio of calculating channel condition and receiver constraint, the modulation symbol Signal to Interference plus Noise Ratio is mapped as the bit Signal to Interference plus Noise Ratio, then by going rate-matched that the bit Signal to Interference plus Noise Ratio is converted into identical code check, carry out effective Signal to Interference plus Noise Ratio mapping and inquiry error rate curve, obtain the error rate of final prediction.
2. link error rate Forecasting Methodology according to claim 1 is characterized in that described method comprises the following steps:
Step 100 is obtained current physical channel response, according to the receiver of described physical channel response and link, calculates the Signal to Interference plus Noise Ratio of current each information symbol;
Step 200. is mapped as one or more bit Signal to Interference plus Noise Ratio with the symbol Signal to Interference plus Noise Ratio of the modulation symbol under the different modulating mode according to self modulation system;
Step 300. is mapped as identical data rate with the bit Signal to Interference plus Noise Ratio under the different pieces of information code rate according to self data rate;
Step 400. merges the bit Signal to Interference plus Noise Ratio of this transmission and the bit Signal to Interference plus Noise Ratio of transmission last time, and the bit Signal to Interference plus Noise Ratio after will merging is mapped as effective Signal to Interference plus Noise Ratio;
Step 500. is come the inquiry error rate curve according to described effective Signal to Interference plus Noise Ratio, obtains the error rate of final prediction.
3. link error rate Forecasting Methodology according to claim 2 is characterized in that, in the step 200, described mapping method is to adopt probability to equate equivalent method, according to formula:
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, the modulation symbol Signal to Interference plus Noise Ratio of QPSK is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK.
4. link error rate Forecasting Methodology according to claim 2 is characterized in that, in the step 300, described mapping method, employing be the mode of going rate-matched that LTE carries out when receiving.
5. link error rate Forecasting Methodology according to claim 2 is characterized in that, in the step 400, adopts formula:
Wherein γ represents Signal to Interference plus Noise Ratio, shines upon.
6. link error rate prognoses system, it is characterized in that, described system is by the Signal to Interference plus Noise Ratio of calculating channel condition and receiver constraint, the modulation symbol Signal to Interference plus Noise Ratio is mapped as the bit Signal to Interference plus Noise Ratio, then by going rate-matched that the bit Signal to Interference plus Noise Ratio is converted into identical code check, carry out effective Signal to Interference plus Noise Ratio mapping and inquiry error rate curve, obtain the error rate of final prediction.
7. link error rate prognoses system according to claim 6 is characterized in that described system comprises:
Symbol Signal to Interference plus Noise Ratio computing unit is used to obtain current physical channel response, according to the receiver of described physical channel response and link, calculates the symbol Signal to Interference plus Noise Ratio of current each information symbol;
Modulation system normalization unit is used for the symbol Signal to Interference plus Noise Ratio of the modulation symbol under the different modulating mode is mapped as one or more bit Signal to Interference plus Noise Ratio according to self modulation system;
Data rate normalization unit is used for the bit Signal to Interference plus Noise Ratio under the different pieces of information code rate is mapped as identical data rate according to self data rate;
Effectively the Signal to Interference plus Noise Ratio computing unit be used for the bit Signal to Interference plus Noise Ratio of this transmission and the bit Signal to Interference plus Noise Ratio of transmission last time are merged, and the bit Signal to Interference plus Noise Ratio after will merging is mapped as effective Signal to Interference plus Noise Ratio;
The error rate matching unit is used for coming the inquiry error rate curve according to effective Signal to Interference plus Noise Ratio, obtains the error rate of final prediction.
8. link error rate prognoses system according to claim 7 is characterized in that, described modulation system normalization unit adopts probability to equate equivalent method, according to formula:
Wherein λ represents the symbol Signal to Interference plus Noise Ratio, the modulation symbol Signal to Interference plus Noise Ratio of QPSK is mapped as the symbol Signal to Interference plus Noise Ratio of BPSK.
9. link error rate prognoses system according to claim 7 is characterized in that, the mode of going rate-matched that described data rate normalization unit carries out when adopting LTE to receive.
10. link error rate prognoses system according to claim 7 is characterized in that, described effective Signal to Interference plus Noise Ratio computing unit adopts formula:
Wherein γ represents Signal to Interference plus Noise Ratio, shines upon.
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| CN103780362A (en) * | 2012-10-25 | 2014-05-07 | 中国科学院声学研究所 | MMIB-based link performance prediction method and system in LTE system |
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| CN101471758A (en) * | 2007-12-28 | 2009-07-01 | 三星电子株式会社 | Mixing automatic retransmission processing method |
| CN101577608A (en) * | 2008-05-09 | 2009-11-11 | 大唐移动通信设备有限公司 | Mapping method, mapping system, link quality prediction method and link quality prediction system based on mutual information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101471758A (en) * | 2007-12-28 | 2009-07-01 | 三星电子株式会社 | Mixing automatic retransmission processing method |
| CN101577608A (en) * | 2008-05-09 | 2009-11-11 | 大唐移动通信设备有限公司 | Mapping method, mapping system, link quality prediction method and link quality prediction system based on mutual information |
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| CN103780362A (en) * | 2012-10-25 | 2014-05-07 | 中国科学院声学研究所 | MMIB-based link performance prediction method and system in LTE system |
| CN103780362B (en) * | 2012-10-25 | 2017-06-13 | 中国科学院声学研究所 | Link performance prediction method and system based on MMIB in a kind of LTE system |
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