CN103634833B - Method and device for predicting link error - Google Patents
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Abstract
The invention discloses a method and a device for predicting a link error. The method comprises the steps of when data transmission is performed in a transmission channel, acquiring the bit signal-to-noise ratio of each bit symbol data in frame data to be predicted, when the bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal-to-noise ratio, determining the transmission result error of the frame data to be measured, when the bit signal-to-noise ratio of each bit symbol data in the frame data to be measured is not small than the preset bit signal-to-noise ratio, determining the transmission error probability of the frame data to be measured according to the bit signal-to-noise ratio of the multiple bit symbol data of the frame data to be measured, and determining whether the transmission result of the frame data to be measured is right or not according to the size relation between the transmission error probability of the frame data to be measured and the preset transmission error probability. By adopting the method and the device disclosed by the invention, the accuracy of the prediction result of the predicted transmission data is improved compared with that of the prior art.
Description
Technical Field
The present invention relates to the field of wireless communications, and in particular, to a method and an apparatus for link error prediction.
Background
With the development of wireless communication technology, data transmission rate is faster and faster, and wireless communication systems are more and more complex, so that the difficulty in accurately modeling the wireless communication systems is increased. In the system-level simulation, because a large number of users need to be simulated for data transmission, if each user is simulated at the physical layer level, the calculation amount is too large, the simulation time is too long, and the simulation of the whole system is not facilitated, so that certain modules in the signal transmission process can be abstracted and simplified through link error prediction.
At present, the existing link error prediction methods mainly include: respectively determining the bit signal-to-noise ratio of each bit symbol data in a frame data in a transmission channel, dividing the transmitted frame data into a plurality of segments of data, wherein each segment of data comprises a plurality of bit symbol data, respectively calculating the average bit signal-to-noise ratio of the plurality of bit symbol data in each segment, converting the average bit signal-to-noise ratios of the plurality of segments of data into the equivalent signal-to-noise ratio of the frame data by adopting a calculation formula, finding out the transmission error probability corresponding to the equivalent signal-to-noise ratio from a link error prediction curve, and judging whether the transmission result of the frame data is correct or not according to the transmission error probability.
In the above-mentioned conventional link error prediction method, when the bit signal-to-noise ratio of some or some bit symbol data in a frame of data is small, that is, there is a noise maximum point, if the equivalent signal-to-noise ratio of the frame of data determined according to the plurality of average bit signal-to-noise ratios of the plurality of pieces of data of the frame of data is large and the transmission error probability corresponding to the equivalent signal-to-noise ratio of the frame of data indicates that the transmission result is correct, the prediction result does not accurately reflect the noise maximum point with the small bit signal-to-noise ratio, so that the accuracy of the prediction result of the link error prediction is low.
Disclosure of Invention
The embodiment of the invention provides a link error prediction method and a link error prediction device, which are used for solving the problem of low accuracy of a prediction result of link error prediction in the prior art.
The embodiment of the invention provides a link error prediction method, which comprises the following steps:
when data transmission is carried out in a transmission channel, acquiring the bit signal-to-noise ratio of each bit symbol data in frame data to be predicted;
when the bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal-to-noise ratio, determining that the transmission result of the frame data to be predicted is wrong;
when the bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than a preset bit signal-to-noise ratio, determining the transmission error probability of the frame data to be predicted according to the bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted;
and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
By adopting the method provided by the embodiment of the invention, as the bit signal-to-noise ratio of the frame data to be predicted is compared with the preset value, when the bit signal-to-noise ratio of the frame data to be predicted is smaller than the preset value, the influence of the noise maximum point on the prediction result can be eliminated, and the accuracy of the prediction result of the transmission data is improved.
Further, determining the transmission error probability of the frame data to be predicted according to the bit signal-to-noise ratio of the plurality of bit symbol data of the frame data to be predicted specifically includes:
determining an equivalent signal-to-noise ratio of the frame data to be predicted according to the bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted;
and searching a transmission error probability corresponding to the equivalent signal-to-noise ratio in a preset prediction curve as the transmission error probability of the frame data to be predicted, wherein the preset prediction curve is a relation curve of the equivalent signal-to-noise ratio and the transmission error probability.
In this way, the transmission result of the frame data to be predicted can be determined according to the determined magnitude relation between the transmission error probability of the frame data to be predicted and the preset transmission error probability.
Further, after determining that the transmission result of the frame data to be predicted is incorrect, the method further includes:
step a: triggering to retransmit the frame data to be predicted;
step b: acquiring a bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time, and using the bit signal-to-noise ratio as the bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted at this time in a modulation mode adopted in the transmission at this time;
step c: searching a current bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted in the current modulation mode from a relation table which stores bit signal-to-noise ratio corresponding relations in different modulation modes, and respectively corresponding to the bit signal-to-noise ratio in the last modulation mode adopted in the last transmission to be used as a mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted;
step d: combining the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted with the bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted last time respectively in a preset mode to obtain the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted this time;
step e: determining whether the transmission result of the frame data to be predicted transmitted at this time is correct according to the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time;
step f: and returning to the step a when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is less than the preset transmission frequency, and stopping retransmitting the frame data to be predicted when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is not less than the preset transmission frequency.
Therefore, after the transmission result of the frame data to be predicted is determined to be wrong, the frame data to be predicted is triggered to be retransmitted, and the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted is obtained by looking up a table from a relation table which stores bit signal-to-noise ratio corresponding relations under different modulation modes, so that system simulation is simpler and more effective when data are retransmitted, and the processing efficiency of data transmission prediction is improved.
Further, the step e specifically includes:
determining an equivalent signal-to-noise ratio of the frame data to be predicted according to the combined bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted at this time;
determining the transmission error probability of the frame data to be predicted according to the equivalent signal-to-noise ratio of the frame data to be predicted;
and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
Further, in the step e, before determining the equivalent signal-to-noise ratio of the frame data to be predicted, the method further includes:
and determining that the combined bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than the preset bit signal-to-noise ratio.
An embodiment of the present invention further provides a link error prediction apparatus, including:
the device comprises an acquisition unit, a prediction unit and a prediction unit, wherein the acquisition unit is used for acquiring the bit signal-to-noise ratio of each bit symbol data in frame data to be predicted when data transmission is carried out in a transmission channel;
a first transmission result determining unit, configured to determine that a transmission result of the frame data to be predicted is erroneous when a bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal-to-noise ratio;
a transmission error probability determining unit, configured to determine a transmission error probability of the frame data to be predicted according to bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted when a bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than a preset bit signal-to-noise ratio;
and the second transmission result determining unit is used for determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
By adopting the device provided by the embodiment of the invention, as the bit signal-to-noise ratio of the frame data to be predicted is compared with the preset value, when the bit signal-to-noise ratio of the frame data to be predicted is smaller than the preset value, the influence of the noise maximum point on the prediction result can be eliminated, and the accuracy of the prediction result of the predicted transmission data is improved.
Further, the transmission error probability determining unit is specifically configured to determine an equivalent signal-to-noise ratio of the frame data to be predicted according to bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted; and searching a transmission error probability corresponding to the equivalent signal-to-noise ratio in a preset prediction curve as the transmission error probability of the frame data to be predicted, wherein the preset prediction curve is a relation curve of the equivalent signal-to-noise ratio and the transmission error probability.
In this way, the transmission result of the frame data to be predicted can be determined according to the determined magnitude relation between the transmission error probability of the frame data to be predicted and the preset transmission error probability.
Further, the above apparatus further includes:
a third transmission result determining unit, configured to, after determining that the transmission result of the frame data to be predicted is erroneous, perform the following steps:
step a: triggering to retransmit the frame data to be predicted;
step b: acquiring a bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time, and using the bit signal-to-noise ratio as the bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted at this time in a modulation mode adopted in the transmission at this time;
step c: searching a current bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted in the current modulation mode from a relation table which stores bit signal-to-noise ratio corresponding relations in different modulation modes, and respectively corresponding to the bit signal-to-noise ratio in the last modulation mode adopted in the last transmission to be used as a mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted;
step d: combining the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted with the bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted last time respectively in a preset mode to obtain the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted this time;
step e: determining whether the transmission result of the frame data to be predicted transmitted at this time is correct according to the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time;
step f: and returning to the step a when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is less than the preset transmission frequency, and stopping retransmitting the frame data to be predicted when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is not less than the preset transmission frequency.
Therefore, after the transmission result of the frame data to be predicted is determined to be wrong, the frame data to be predicted is triggered to be retransmitted, and the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted is obtained by looking up a table from a relation table which stores bit signal-to-noise ratio corresponding relations under different modulation modes, so that system simulation is simpler and more effective when data are retransmitted, and the processing efficiency of data transmission prediction is improved.
Further, the third transmission result determining unit is specifically configured to determine an equivalent signal-to-noise ratio of the frame data to be predicted according to a combined bit signal-to-noise ratio of the multiple bit symbol data of the frame data to be predicted transmitted this time; determining the transmission error probability of the frame data to be predicted according to the equivalent signal-to-noise ratio of the frame data to be predicted; and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
Further, the third transmission result determining unit is further configured to determine that the merged bit snr of each bit symbol data in the frame data to be predicted is not less than the preset bit snr before determining the equivalent snr of the frame data to be predicted in step e.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a link error prediction method according to an embodiment of the present invention;
fig. 2 is a flowchart of a link error prediction method according to embodiment 1 of the present invention;
fig. 3 is a schematic structural diagram of a link error prediction apparatus according to embodiment 2 of the present invention.
Detailed Description
In order to provide an implementation scheme for improving the accuracy of the prediction result of the link error prediction, the embodiment of the invention provides a link error prediction method and a link error prediction device, and the following description is made in conjunction with the accompanying drawings in the specification to describe preferred embodiments of the invention, it should be understood that the preferred embodiments described herein are only used for illustrating and explaining the invention, and are not used for limiting the invention. And the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
An embodiment of the present invention provides a link error prediction method, as shown in fig. 1, including:
step 101, when data transmission is performed in a transmission channel, obtaining a bit signal-to-noise ratio of each bit symbol data in frame data to be predicted.
And 102, when the bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is less than a preset bit signal-to-noise ratio, determining that the transmission result of the frame data to be predicted is wrong.
103, when the bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than the preset bit signal-to-noise ratio, determining the transmission error probability of the frame data to be predicted according to the bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted.
And step 104, determining whether the transmission result of the frame data to be predicted is correct according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
In the method shown in fig. 1, when data transmission is performed for the first time in a transmission channel, and it is determined that a transmission result of frame data to be predicted is incorrect, retransmission of the frame data to be predicted is triggered, it is determined whether the transmission result of the frame data to be predicted is correct or not, if the transmission result of the frame data to be predicted is incorrect and the current transmission frequency of the frame data to be predicted is less than a preset transmission frequency, retransmission of the frame data to be predicted is triggered, if the transmission result of the frame data to be predicted is incorrect and the current transmission frequency of the frame data to be predicted is not less than the preset transmission frequency, retransmission of the frame data to be predicted is stopped, and if the transmission result of the frame data to be predicted is correct and the frame data to be predicted is stopped. Furthermore, after the transmission result of the frame data to be predicted is predicted, the transmission result of the next frame data can be continuously predicted by adopting the method provided by the invention.
The method and apparatus of the present invention will be described in detail with reference to the accompanying drawings using specific embodiments.
Example 1:
fig. 2 is a flowchart of a link error prediction method provided in embodiment 1 of the present invention, which specifically includes the following processing steps:
step 201, when data transmission is performed in a transmission channel, obtaining a bit signal-to-noise ratio of each bit symbol data in frame data to be predicted.
In this step, the following formula may be adopted to determine the bit snr of each bit symbol data in the frame data to be predicted:
wherein the SNRmod,pThe bit signal-to-noise ratio of the P-th bit symbol data of the frame data to be predicted, P is the number of bit symbol data of the frame data to be predicted,for the estimated value of the channel frequency domain response of the p-th bit symbol data, the estimated value of the channel frequency domain response may be determined in various manners in the prior art, for example, by using a least squares channel estimation method, which may specifically use the following formula:Ykfor the kth frequency domain reference signal value, X, received by the receiving endkFor the kth frequency-domain reference signal value, σ, generated by the transmitting end2K is the number of frequency domain reference signals of the frame data to be predicted,for the channel frequency domain response estimate of the frequency domain reference signal, forObtaining the channel frequency domain response estimation value of the frame data to be predicted by adopting an interpolation methodWherein K is less than P. The specific processing method for determining the channel frequency domain response estimation value of the frame data to be predicted according to the channel frequency domain response estimation value of the frequency domain reference signal may also adopt various manners in the prior art, and details are not repeated herein.
Step 202, determining whether the bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted is not less than a preset bit signal-to-noise ratio a, if not, entering step 203, and if so, entering step 204.
The preset bit signal-to-noise ratio a may be specifically determined by the following formula:
a＝-lnλ；
wherein λ is a preset threshold value, and can be flexibly set according to practical experience and needs, for example, λ can be set to any value within a range of 0-3.
In this step, it is determined whether the following formula is satisfied: SNRmod,pIf not, the step proceeds to step 203, and if yes, the step proceeds to step 204, namely, the following formula is used for judgment: exp (-SNR)mod,p)≤λ，p＝1,2,...P。
Step 203, when the bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is less than the preset bit signal-to-noise ratio a, determining that the transmission result of the frame data to be predicted is wrong, and then entering step 209.
And 204, when the bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than the preset bit signal-to-noise ratio value a, determining the equivalent signal-to-noise ratio of the frame data to be predicted according to the bit signal-to-noise ratios of the bit symbol data of the frame data to be predicted.
In this step, the equivalent snr of the frame data to be predicted may be determined in various manners in the prior art, for example, an Exponential Effective interference and noise ratio Mapping (EESM) algorithm may be used to determine the equivalent snr of the frame data to be predicted, specifically using the following formula:
wherein the SNRmod,effFor the equivalent snr of the frame data to be predicted, β is the algorithm parameter.
Step 205, searching a transmission error probability corresponding to the equivalent snr in a preset prediction curve as the transmission error probability of the frame data to be predicted.
The preset prediction curve is a relation curve of an equivalent signal-to-noise ratio and a transmission error probability, and the preset prediction curve is related to a modulation mode and a transmission code rate of transmission data.
Step 206, determining whether the transmission error probability of the frame data to be predicted is less than a preset transmission error probability b, if yes, entering step 207, and if not, entering step 208.
Wherein, the preset transmission error probability b may be a random variable between 0 and 1.
And step 207, when the transmission error probability is less than b, determining that the transmission result of the frame data to be predicted is correct.
And step 208, when the transmission error probability is not less than b, determining that the transmission result of the frame data to be predicted is wrong.
Further, after determining that the transmission result of the frame data to be predicted is incorrect, triggering the sending end to retransmit the frame data to be predicted, and processing the frame data to be predicted, specifically executing the following steps 209 to 215.
Step 209, after determining that the transmission result of the frame data to be predicted is incorrect, triggering to retransmit the frame data to be predicted.
Step 210, obtaining the bit snr of each bit symbol data in the frame data to be predicted of the current transmission data, as the current bit snr of each bit symbol data of the frame data to be predicted in the current modulation mode adopted in the current transmission.
In this step, the bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted transmitted this time may be determined by the same method as that in step 201, and will not be described in detail here.
Step 211, searching a current bit snr of each bit symbol data of the frame data to be predicted in the current modulation mode from a relation table storing bit snr corresponding relations in different modulation modes, and using the bit snr in the last modulation mode adopted in the last transmission as a mapping bit snr of each bit symbol data of the frame data to be predicted.
In this step, the mapping bit snr of each bit symbol data of the frame data to be predicted may be specifically determined by the following relation:
wherein,for the current bit snr of the p-th bit symbol data of the frame data to be predicted under the current debugging mode mod2,the bit signal-to-noise ratio under the modulation mode mod1 corresponding to the current bit signal-to-noise ratio of the p-th bit symbol data of the frame data to be predicted, that is, the bit signal-to-noise ratio under the last transmissionAnd predicting the mapping bit signal-to-noise ratio of the p-th bit symbol data of the frame data.
The relation table can be determined according to curves representing the relation between the bit signal-to-noise ratio and the transmission error probability under different modulation modes in the Gaussian environment.
Step 212, combining the mapping bit snr of each bit symbol data of the frame data to be predicted with the bit snr of the bit symbol data of the frame data to be predicted transmitted last time by using a preset method, so as to obtain a combined bit snr of each bit symbol data of the frame data to be predicted transmitted this time.
In this step, the merging bit snr can be determined by using the following formula:
wherein,the bit snr of the p-th bit symbol data of the frame data to be predicted in the last debugging mode mod1 adopted for the last transmission,for the mapping bit signal-to-noise ratio of the p-th bit symbol data of the frame data to be predicted in the current transmission,for the current transmission of the merging bit snr of the p-th bit symbol data of the frame data to be predicted, f (a, b) is a merging function, which may be flexibly set according to practical experience, for example, f (a, b) may be a Chase merging function or an Incremental Redundancy (IR) merging function.
Step 213, determining whether the transmission result of the current transmission of the frame data to be predicted is correct according to the combined bit signal-to-noise ratio of each bit symbol data of the current transmission of the frame data to be predicted, if not, entering step 214, and if so, entering step 215.
In this step, the combined bit snr of each bit symbol data of the frame data to be predicted may be processed by the same method as in steps 202 to 208, to determine whether the transmission result of the frame data to be predicted is correct, if not, step 214 is performed, and if yes, step 215 is performed.
Step 214, when it is determined that the transmission result of the frame data to be predicted transmitted this time is incorrect, it is determined whether the current transmission frequency of the frame data to be predicted is less than the preset transmission frequency, if so, the step 209 is returned, and if not, the step 215 is entered.
Step 215, stopping retransmitting the frame data to be predicted.
Furthermore, after the transmission result of the frame data to be predicted is predicted, the method provided by the invention can be adopted to continue to predict the transmission result of the next frame data.
By the method provided by the embodiment of the invention, as the bit signal-to-noise ratio of the frame data to be predicted is compared with the preset value, when the bit signal-to-noise ratio of the frame data to be predicted is smaller than the preset value, the influence of a noise maximum point on a prediction result can be eliminated, the accuracy of the prediction result of the predicted transmission data is improved, and after the transmission result of the frame data to be predicted is determined to be wrong, the frame data to be predicted is triggered to be retransmitted again, the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted is obtained by looking up a table from a relation table in which the bit signal-to-noise ratio corresponding relations under different modulation modes are stored, so that the system simulation is more simple and effective when the data is retransmitted, and.
Example 2:
based on the same inventive concept, according to the method for predicting link errors provided by the foregoing embodiments of the present invention, correspondingly, embodiment 2 of the present invention further provides a link error prediction apparatus, a schematic structural diagram of which is shown in fig. 3, and specifically includes:
an obtaining unit 301, configured to obtain a bit signal-to-noise ratio of each bit symbol data in frame data to be predicted when data transmission is performed in a transmission channel;
a first transmission result determining unit 302, configured to determine that a transmission result of the frame data to be predicted is incorrect when a bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal-to-noise ratio;
a transmission error probability determining unit 303, configured to determine a transmission error probability of the frame data to be predicted according to bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted when a bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than a preset bit signal-to-noise ratio;
a second transmission result determining unit 304, configured to determine whether the transmission result of the frame data to be predicted is correct according to a size relationship between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
A transmission error probability determining unit 303, configured to determine an equivalent signal-to-noise ratio of the frame data to be predicted according to bit signal-to-noise ratios of multiple bit symbol data of the frame data to be predicted; and searching a transmission error probability corresponding to the equivalent signal-to-noise ratio in a preset prediction curve as the transmission error probability of the frame data to be predicted, wherein the preset prediction curve is a relation curve of the equivalent signal-to-noise ratio and the transmission error probability.
Further, the above apparatus further includes:
a third transmission result determining unit 305, configured to, after determining that the transmission result of the frame data to be predicted is erroneous, perform the following steps:
step a: triggering to retransmit the frame data to be predicted;
step b: acquiring a bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time, and using the bit signal-to-noise ratio as the bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted at this time in a modulation mode adopted in the transmission at this time;
step c: searching a current bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted in the current modulation mode from a relation table which stores bit signal-to-noise ratio corresponding relations in different modulation modes, and respectively corresponding to the bit signal-to-noise ratio in the last modulation mode adopted in the last transmission to be used as a mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted;
step d: combining the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted with the bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted last time respectively in a preset mode to obtain the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted this time;
step e: determining whether the transmission result of the frame data to be predicted transmitted at this time is correct according to the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time;
step f: and returning to the step a when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is less than the preset transmission frequency, and stopping retransmitting the frame data to be predicted when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is not less than the preset transmission frequency.
A third transmission result determining unit 305, configured to determine an equivalent snr of the frame data to be predicted according to a combined snr of multiple bit symbol data of the frame data to be predicted transmitted this time; determining the transmission error probability of the frame data to be predicted according to the equivalent signal-to-noise ratio of the frame data to be predicted; and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
The third transmission result determining unit 305 is further configured to determine that the merged bit snr of each bit symbol data in the frame data to be predicted is not less than the preset bit snr before determining the equivalent snr of the frame data to be predicted in step e.
The functions of the above units may correspond to the corresponding processing steps in the flows shown in fig. 1 or fig. 2, and are not described herein again.
In summary, the solution provided by the embodiment of the present invention includes: when data transmission is carried out in a transmission channel, the bit signal to noise ratio of each bit symbol data in frame data to be predicted is obtained, when the bit signal to noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal to noise ratio, the transmission result error of the frame data to be predicted is determined, when the bit signal to noise ratio of each bit symbol data in the frame data to be predicted is not smaller than the preset bit signal to noise ratio, the transmission error probability of the frame data to be predicted is determined according to the bit signal to noise ratios of a plurality of bit symbol data of the frame data to be predicted, and whether the transmission result of the frame data to be predicted is correct is determined according to the magnitude relation between the transmission error probability of the frame data to be predicted and the preset transmission error. Due to the fact that the bit signal-to-noise ratio of the frame data to be predicted is compared with the preset value, when the bit signal-to-noise ratio of the frame data to be predicted is smaller than the preset value, the influence of a noise maximum point on a prediction result can be eliminated, and the accuracy of the prediction result of the transmission data is improved.
The link error prediction apparatus provided by the embodiment of the present application may be implemented by a computer program. It should be understood by those skilled in the art that the above-mentioned module division is only one of many module division, and if the module is divided into other modules or not, it is within the scope of the present application as long as the link error prediction apparatus has the above-mentioned functions.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A method of link error prediction, comprising:
when data transmission is carried out in a transmission channel, acquiring the bit signal-to-noise ratio of each bit symbol data in frame data to be predicted;
when the bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal-to-noise ratio, determining that the transmission result of the frame data to be predicted is wrong, and executing the following steps a to f:
step a: triggering to retransmit the frame data to be predicted;
step b: acquiring a bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time, and using the bit signal-to-noise ratio as the bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted at this time in a modulation mode adopted in the transmission at this time;
step c: searching a current bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted in the current modulation mode from a relation table which stores bit signal-to-noise ratio corresponding relations in different modulation modes, and respectively corresponding to the bit signal-to-noise ratio in the last modulation mode adopted in the last transmission to be used as a mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted;
step d: combining the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted with the bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted last time respectively in a preset mode to obtain the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted this time;
step e: determining whether the transmission result of the frame data to be predicted transmitted at this time is correct according to the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time;
step f: when the transmission result of the frame data to be predicted transmitted at the time is determined to be wrong and the current transmission frequency of the frame data to be predicted is less than the preset transmission frequency, returning to the step a, and when the transmission result of the frame data to be predicted transmitted at the time is determined to be wrong and the current transmission frequency of the frame data to be predicted is not less than the preset transmission frequency, stopping retransmitting the frame data to be predicted;
when the bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than a preset bit signal-to-noise ratio, determining the transmission error probability of the frame data to be predicted according to the bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted;
and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
2. The method according to claim 1, wherein determining the transmission error probability of the frame data to be predicted according to the bit signal-to-noise ratio of the plurality of bit symbol data of the frame data to be predicted specifically comprises:
determining an equivalent signal-to-noise ratio of the frame data to be predicted according to the bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted;
and searching a transmission error probability corresponding to the equivalent signal-to-noise ratio in a preset prediction curve as the transmission error probability of the frame data to be predicted, wherein the preset prediction curve is a relation curve of the equivalent signal-to-noise ratio and the transmission error probability.
3. The method according to claim 1, wherein step e specifically comprises:
determining an equivalent signal-to-noise ratio of the frame data to be predicted according to the combined bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted at this time;
determining the transmission error probability of the frame data to be predicted according to the equivalent signal-to-noise ratio of the frame data to be predicted;
and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
4. The method as claimed in claim 3, wherein in step e, before determining the equivalent signal-to-noise ratio of the frame data to be predicted, the method further comprises:
and determining that the combined bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than the preset bit signal-to-noise ratio.
5. A link error prediction apparatus, comprising:
the device comprises an acquisition unit, a prediction unit and a prediction unit, wherein the acquisition unit is used for acquiring the bit signal-to-noise ratio of each bit symbol data in frame data to be predicted when data transmission is carried out in a transmission channel;
a first transmission result determining unit, configured to determine that a transmission result of the frame data to be predicted is erroneous when a bit signal-to-noise ratio of at least one bit symbol data in the frame data to be predicted is smaller than a preset bit signal-to-noise ratio;
a transmission error probability determining unit, configured to determine a transmission error probability of the frame data to be predicted according to bit signal-to-noise ratios of a plurality of bit symbol data of the frame data to be predicted when a bit signal-to-noise ratio of each bit symbol data in the frame data to be predicted is not less than a preset bit signal-to-noise ratio;
a second transmission result determining unit, configured to determine whether a transmission result of the frame data to be predicted is correct according to a magnitude relationship between the transmission error probability of the frame data to be predicted and a preset transmission error probability;
a third transmission result determining unit, configured to, after determining that the transmission result of the frame data to be predicted is erroneous, perform the following steps:
step a: triggering to retransmit the frame data to be predicted;
step b: acquiring a bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time, and using the bit signal-to-noise ratio as the bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted at this time in a modulation mode adopted in the transmission at this time;
step c: searching a current bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted in the current modulation mode from a relation table which stores bit signal-to-noise ratio corresponding relations in different modulation modes, and respectively corresponding to the bit signal-to-noise ratio in the last modulation mode adopted in the last transmission to be used as a mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted;
step d: combining the mapping bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted with the bit signal-to-noise ratio of the bit symbol data of the frame data to be predicted transmitted last time respectively in a preset mode to obtain the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted this time;
step e: determining whether the transmission result of the frame data to be predicted transmitted at this time is correct according to the combined bit signal-to-noise ratio of each bit symbol data of the frame data to be predicted transmitted at this time;
step f: and returning to the step a when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is less than the preset transmission frequency, and stopping retransmitting the frame data to be predicted when the transmission result of the frame data to be predicted transmitted at this time is determined to be wrong and the current transmission frequency of the frame data to be predicted is not less than the preset transmission frequency.
6. The apparatus according to claim 5, wherein the transmission error probability determining unit is specifically configured to determine an equivalent signal-to-noise ratio of the frame data to be predicted according to a bit signal-to-noise ratio of a plurality of bit symbol data of the frame data to be predicted; and searching a transmission error probability corresponding to the equivalent signal-to-noise ratio in a preset prediction curve as the transmission error probability of the frame data to be predicted, wherein the preset prediction curve is a relation curve of the equivalent signal-to-noise ratio and the transmission error probability.
7. The apparatus according to claim 5, wherein the third transmission result determining unit is specifically configured to determine an equivalent snr of the frame data to be predicted according to a combined snr of a plurality of bit symbol data of the frame data to be predicted transmitted this time; determining the transmission error probability of the frame data to be predicted according to the equivalent signal-to-noise ratio of the frame data to be predicted; and determining whether the transmission result of the frame data to be predicted is correct or not according to the magnitude relation between the transmission error probability of the frame data to be predicted and a preset transmission error probability.
8. The apparatus according to claim 7, wherein the third transmission result determining unit is further configured to determine that the merged bit snr of each bit symbol data in the frame data to be predicted is not less than the preset bit snr before determining the equivalent snr of the frame data to be predicted in step e.
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| CN1300481A (en) * | 1999-02-13 | 2001-06-20 | 三星电子株式会社 | Device and method of continuous outer-loop power control in DTX mode for CDMA mobile communication system |
| CN1655492A (en) * | 2004-02-13 | 2005-08-17 | 朗迅科技公司 | Method and apparatus for link error prediction in a communication system |
| CN101006672A (en) * | 2004-06-18 | 2007-07-25 | 高通股份有限公司 | Robust erasure detection and erasure-rate-based closed loop power control |
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| US7440412B2 (en) * | 2006-03-13 | 2008-10-21 | Tzero Technologies, Inc. | Link quality prediction |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1300481A (en) * | 1999-02-13 | 2001-06-20 | 三星电子株式会社 | Device and method of continuous outer-loop power control in DTX mode for CDMA mobile communication system |
| CN1655492A (en) * | 2004-02-13 | 2005-08-17 | 朗迅科技公司 | Method and apparatus for link error prediction in a communication system |
| CN101006672A (en) * | 2004-06-18 | 2007-07-25 | 高通股份有限公司 | Robust erasure detection and erasure-rate-based closed loop power control |
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