CN115664432A - Adaptive iteration number method and system of decoder - Google Patents
Adaptive iteration number method and system of decoder Download PDFInfo
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Abstract
The invention provides a self-adaptive iteration number method and a system of a decoder, which comprise the following steps: starting a self-adaptive iteration function; initializing a decoder, and setting the iteration times of the decoder as the maximum iteration times; counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window; adjusting the iteration times of the decoder as the initial iteration times of the decoder according to the average MCS value and the average signal-to-noise ratio; the decoder decodes the cell block and records the actual decoding times used when the decoding is successful; calculating the actual decoding times used when the current unit block in the sliding window is successfully decoded and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded; and adjusting the current iteration times of the decoder according to the average decoding times, and decoding the next unit block. By dynamically adjusting the maximum iteration times of the LDPC decoder, unnecessary decoding iteration is reduced, the power consumption of the UE is reduced, and the balance between the performance and the power consumption is achieved.
Description
Technical Field
The invention relates to the technical field of LDPC decoding, in particular to a self-adaptive iteration time method and a self-adaptive iteration time system of a decoder.
Background
In an NR wireless communication system, an LDPC codec is adopted for PDSCH coding and decoding of a UE end, each CB needs to be subjected to iterative decoding for multiple times in the decoding principle, and the decoding result is finally determined through repeated calculation of a check node and a verification node. If the maximum iteration times are reached, the decoder still cannot decode correctly, the decoder stops the decoding, and the decoding failure is judged. LDPC decoding, i.e. low density parity check code decoding, is a very complex calculation process, each iteration consumes a lot of time and power consumption of UE, and especially for a mobile terminal, processing time and power consumption are very important indexes. In the current technical implementation scheme, the maximum iteration times of the LDPC decoder are fixed and unchangeable, and cannot be dynamically changed according to an actual channel environment.
In an actual external field environment, particularly under the conditions that the signal-to-noise ratio is good and the code rate of scheduling data is not high, when the number of LDPC decoding iterations exceeds the average number of iterations in the scene, the decoding still cannot be correctly performed, the CB block decoded this time may be subjected to burst interference to cause data abnormality, or decoding abnormality caused by parameter error, and if the LDPC decoder continues to perform multiple iteration attempts, it may be pure power consumption.
Disclosure of Invention
The invention provides a self-adaptive iteration time method and a self-adaptive iteration time system for a decoder, and aims to solve the technical problems of high UE power consumption and the like in decoding of an LDPC decoder in the prior art.
A method for adaptive iteration count for a decoder, comprising:
a1, starting a self-adaptive iteration function;
step A2, initializing a decoder, and setting the iteration times of the decoder as the maximum iteration times;
step A3, counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window;
step A4, adjusting the iteration times of the decoder as the initial iteration times of the decoder according to the average MCS value and the average signal-to-noise ratio;
step A5, the decoder decodes the unit block and records the actual decoding times when the decoding is successful;
step A6, calculating the actual decoding times used when the current unit block in the sliding window is successfully decoded and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded;
and step A7, adjusting the current iteration times of the decoder according to the average decoding times, and returning to the step A5 until the decoding is finished.
Further, step A4 includes:
step a41, determine whether the average snr is higher than the first snr threshold and the average MCS is lower than the first MCS threshold:
if the average signal-to-noise ratio is higher than the first signal-to-noise ratio threshold value and the belonging average MCS value is lower than the first MCS threshold value, continuing the step A42;
if the average snr is not higher than the first snr threshold or the associated average MCS is not lower than the first MCS threshold, continue step a43;
step A42, adjusting the iteration times of the decoder to a first preset multiple of the maximum iteration times, and continuing the step A5;
step a43, determining whether the average snr is lower than a second snr threshold and whether the average MCS is lower than the second MCS threshold:
if the average snr is lower than the second snr threshold and the average MCS is lower than the second MCS threshold, continue step a44;
if the average signal-to-noise ratio is not lower than the second signal-to-noise ratio threshold value or the average MCS value is not lower than the second MCS threshold value, continuing the step A5;
step A44, adjusting the iteration number of the decoder to a second preset multiple of the maximum iteration number, and continuing step A5.
Further, the first preset multiple is smaller than the second preset multiple.
Further, the first preset multiple is 0.5.
Further, the second preset multiple is 0.75.
Further, in step A7, adjusting the iteration count of the decoder according to the average decoding count includes:
step a71, determining whether the average decoding frequency is higher than an iteration threshold:
if yes, continue step A72;
if not, continuing to the step A73;
step A72, increasing the iteration times of the decoder according to a first preset value;
and A73, reducing the iteration times of the decoder according to a second preset value.
Further, the iteration threshold is a third preset multiple of the initial iteration number.
Further, the third preset multiple is 0.8.
Further, the first preset value is 1, and the second preset value is 1.
Further, during the steps A5-A7, the method further includes:
b1, in the decoding process executed by a decoder, counting the average bit error rate of the physical downlink shared channel in a sliding window;
step B2, judging whether the average bit error rate is higher than a third preset value:
if yes, continuing the step B3;
if not, continuing the step B4;
b3, if the decoder is in the self-adaptive iteration function currently, switching to the common iteration function and then executing decoding; if the decoder is currently in the common iteration function, continuing to execute decoding according to the common iteration function;
step B4, if the decoder is currently in the self-adaptive iteration function, continuing the steps A5-A7, executing decoding according to the self-adaptive iteration function, if the decoder is currently in the common iteration function, switching to the self-adaptive iteration function and then executing the decoding, and executing the steps A1-A7;
the common iteration function means that the iteration number of the decoder is kept unchanged from the maximum iteration number.
An adaptive iteration count system of a decoder, using the adaptive iteration count method of the decoder, comprising:
the starting module starts the self-adaptive iteration function;
the setting module is connected with the starting module and used for initializing the decoder and setting the iteration times of the decoder as the maximum iteration times;
the first statistic module is used for counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window;
the first adjusting module is respectively connected with the setting module and the counting module and is used for adjusting the iteration times of the decoder as the initial iteration times of the decoder according to the average MCS value and the average signal-to-noise ratio;
the decoder is connected with the first adjusting module and is used for decoding the cell block by using the current iteration times;
the recording module is connected with the decoder and used for recording the actual decoding times used when the decoding of the unit block is successful;
the second statistical module is connected with the recording module and used for calculating the actual decoding times used when the current unit block in the sliding window is successfully decoded and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded;
and the second adjusting module is connected with the second statistical module and the decoder and used for adjusting the current iteration times of the decoder according to the average decoding times.
The invention has the beneficial technical effects that: by dynamically adjusting the maximum iteration times of the LDPC decoder, unnecessary decoding iteration is reduced, the power consumption of the UE is reduced, and the balance between the performance and the power consumption is achieved.
Drawings
FIG. 1 is a flow chart of the steps of a method for adaptive iteration count for a decoder according to the present invention;
FIG. 2 is a flowchart illustrating the steps of adjusting the iteration count according to the average MCS value and the average SNR in the adaptive iteration count method of a decoder according to the present invention;
FIG. 3 is a flowchart illustrating the steps of adjusting the iteration count according to the average iteration count in the adaptive iteration count method of the decoder according to the present invention;
FIG. 4 is a flowchart illustrating steps for switching between normal iteration function and adaptive function in the adaptive iteration count method of the decoder according to the present invention;
FIG. 5 is a block diagram of an adaptive iteration count system of a decoder according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
Referring to fig. 1, the present invention provides a method for adaptive iteration number of a decoder, including:
step A1, starting a self-adaptive iteration function;
step A2, initializing a decoder, and setting the initial iteration times as the maximum iteration times;
step A3, counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window;
step A4, adjusting the iteration times of the decoder according to the average MCS value and the average signal-to-noise ratio;
step A5, the decoder decodes the cell block and records the actual decoding times used when the decoding is successful;
step A6, calculating the actual decoding times used when the current unit block is successfully decoded in the sliding window and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded;
and step A7, adjusting the iteration times of the decoder according to the average decoding times, and returning to the step A5 until the decoding is finished.
The invention adaptively adjusts the iteration times according to the real-time wireless environment and the decoding data in the LDPC decoding process, screens out unnecessary iteration processes and further reduces the power consumption of the UE.
After the self-adaptive iteration function is started, initialization is carried out, and the iteration times of the LDPC decoder are set to be the maximum iteration times. And counting the average MCS value, the average SNR and the average error rate of the PDSCH. The initial average bit error rate is 0.MCS, modulation and Coding Scheme, i.e. Modulation and Coding strategy. SNR is the signal-to-noise ratio.
Referring to fig. 2, further, step A4 includes:
step a41, determine whether the average snr is higher than the first snr threshold and the average MCS is lower than the first MCS threshold:
if the average signal-to-noise ratio is higher than the first signal-to-noise ratio threshold value and the belonging average MCS value is lower than the first MCS threshold value, continuing the step A42;
if the average signal-to-noise ratio is not higher than the first signal-to-noise ratio threshold value, or the belonging average MCS value is not lower than the first MCS threshold value, continuing the step A43;
step A42, adjusting the iteration times of the decoder to a first preset multiple of the maximum iteration times, and continuing the step A5;
step a43, determining whether the average snr is lower than a second snr threshold and whether the average MCS is lower than the second MCS threshold:
if the average snr is lower than the second snr threshold and the average MCS is lower than the second MCS threshold, continue step a44;
if the average signal-to-noise ratio is not lower than the second signal-to-noise ratio threshold value or the average MCS value is not lower than the second MCS threshold value, continuing the step A5;
step A44, adjusting the iteration times of the decoder to a second preset multiple of the maximum iteration times, and continuing the step A5;
wherein, the first signal-to-noise ratio threshold value is smaller than the second signal-to-noise ratio threshold value;
wherein the first MCS threshold is less than the second MCS threshold;
the first preset multiple is smaller than the second preset multiple.
Further, the first preset multiple is 0.5, and the second preset multiple is 0.75.
The sliding window is the sliding window.
Specifically, the initial iteration number is set according to the average SNR of the PDSCH and the average MCS within the sliding window, and the window length is set to 1000 times for PDSCH scheduling and sliding window statistics.
If the average SNR is higher than the first SNR threshold and the average MCS value is lower than the first MCS threshold, it indicates that the success rate of decoding the environmental PDSCH with high SNR and low code rate is higher, and at this time, the iteration number is adjusted to be half of the maximum iteration number, that is, 0.5 times as the initial iteration number.
If the average SNR is lower than the second SNR threshold and the average MCS is lower than the second MCS threshold, it indicates that the current SNR is a general SNR in the wireless environment, but the scheduled code rate is low and the PDSCH decoding success rate is high, at this time, the iteration number is adjusted to 75% of the maximum iteration number as the initial iteration number, and the trial number of some iterations is slightly increased to ensure the performance.
And setting the initial iteration times to be the maximum iteration times under other scenes, and preferentially ensuring the performance.
Referring to fig. 3, further, in step A7, adjusting the number of iterations of the decoder according to the average number of decoding includes:
step a71, determining whether the average decoding frequency is higher than an iteration threshold:
if yes, continue step A72;
if not, continuing to the step A73;
step A72, increasing the iteration times of the decoder according to a first preset value;
step a73, the number of iterations of the decoder is reduced according to a second preset value.
Further, the iteration threshold is a third preset multiple of the initial iteration number.
Further, the third preset multiple is 0.8.
Further, the first preset value is 1, and the second preset value is 1.
And starting decoding on each CB block by using the adjusted iteration times, recording the iteration times when each CB block is decoded successfully, and calculating the average decoding times comprising the actual decoding times used by the CB block which is decoded successfully at present and the actual decoding times of the previous CB block which is decoded successfully in a sliding window after one CB block is decoded.
If the average decoding time is lower than 80% of the set initial iteration time, it means that the current iteration time of the decoder is set too high, and the iteration in the decoding error may be useless, and at this time, the current iteration time of the decoder may be reduced. In order to ensure that the performance is not lost, the current decoding times are reduced by 1, and the next CB block is decoded.
If the average decoding times is higher than 80% of the set initial iteration times, it indicates that the current iteration times of the decoder is set to be somewhat conservative, and part of performance may be lost, and the current iteration times need to be increased, the current decoding times need to be reduced by 1, and the next CB block is decoded.
Referring to fig. 4, further, during the steps A5 to A7, the method further includes:
b1, in the decoding process executed by a decoder, counting the average bit error rate of the physical downlink shared channel in a sliding window;
step B2, judging whether the average bit error rate is higher than a third preset value:
if yes, continuing the step B3;
if not, continuing the step B4;
b3, if the decoder is in the self-adaptive iteration function at present, switching to a common iteration function and then executing decoding; if the decoder is currently in the common iteration function, continuing to execute decoding according to the common iteration function;
step B4, if the decoder is currently in the self-adaptive iteration function, continuing, and the steps A5-A7 execute decoding according to the self-adaptive iteration function, if the decoder is currently in the common iteration function, switching to the self-adaptive iteration function, and then executing the steps A1-A7 to execute decoding;
the common iteration function means that the iteration number of the decoder is kept unchanged from the maximum iteration number.
In performing steps A5-A7, the above-described steps B1-B4 are performed. Namely, the average bit error rate is detected in the decoding process, the bit error rate is higher, the self-adaptive iteration function is closed, and the common iteration function is started. After switching to the adaptive iteration function, steps A1-A7 are performed. And (4) when the decoding is continuously executed according to the self-adaptive iterative function, the steps A5-A7 are repeated without restarting.
The average bit error rate is a parameter, the parameter is placed outside the flow of the adaptive iteration function, the UE still needs to ensure the performance on the basis of considering the power consumption, if the average bit error rate is higher, the initial iteration times are directly set as the maximum iteration times, and the adaptive iteration function is started until the average bit error rate is reduced.
Specifically, in the decoding process, after a preset number of time slots, sequential average bit error rate calculation is performed, and the average bit error rate in the sliding window is counted. Specifically, the preset number is 1024.
Referring to fig. 5, the present invention further provides an adaptive iteration count system of a decoder, which uses an adaptive iteration count method of a decoder as described above, including:
a starting module (1) for starting the adaptive iteration function;
the setting module (2) is connected with the starting module (1) and is used for initializing the decoder and setting the iteration times of the decoder as the maximum iteration times;
a first statistic module (3) for counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window;
the first adjusting module (4) is respectively connected with the setting module (2) and the counting module (3) and is used for adjusting the iteration times of the decoder as the initial iteration times of the decoder according to the average MCS value and the average signal-to-noise ratio;
the decoder (5) is connected with the first adjusting module (4) and is used for decoding the cell block by using the current iteration number;
the recording module (6) is connected with the decoder (5) and is used for recording the actual decoding times used when the decoding of the cell block is successful;
the second statistical module (7) is connected with the recording module (6) and is used for calculating the actual decoding times used when the current unit block in the sliding window is successfully decoded and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded;
and the second adjusting module (8) is connected with the second statistical module (7) and the decoder (5) and is used for adjusting the current iteration times of the decoder according to the average decoding times.
Compared with the prior art, the method has the advantages that the power consumption of the UE can be further reduced on the basis of ensuring the performance, the maximum iteration times of the LDPC decoder are dynamically and adaptively adjusted by the UE according to the actual wireless environment and the decoding performance in the whole process, unnecessary iteration processes are screened out, and the power consumption of the UE is further reduced.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. A method for adaptive iteration count in a decoder, comprising:
a1, starting a self-adaptive iteration function;
step A2, initializing the decoder, and setting the iteration times of the decoder as the maximum iteration times;
step A3, counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window;
step A4, according to the average MCS value and the average signal-to-noise ratio, adjusting the iteration number of the decoder as the initial iteration number of the decoder;
step A5, the decoder decodes the cell block and records the actual decoding times used when the decoding is successful;
step A6, calculating the actual decoding times used when the current unit block is successfully decoded in the sliding window and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded;
and A7, adjusting the current iteration times of the decoder according to the average decoding times, and returning to the step A5 until the decoding is finished.
2. The method for adaptively counting iterations of a decoder as claimed in claim 1, wherein said step A4 comprises:
step a41, determining whether the average snr is higher than a first snr threshold and the average MCS is lower than the first MCS threshold:
if the average snr is higher than the first snr threshold and the associated average MCS is lower than the first MCS threshold, proceed to step a42;
if the average snr is not higher than the first snr threshold or the average MCS value is not lower than the first MCS threshold, continue step a43;
step a42, adjusting the iteration number of the decoder to a first preset multiple of the maximum iteration number, and continuing the step A5;
step a43, determining whether the average snr is lower than a second snr threshold and whether the average MCS is lower than the second MCS threshold:
if the average SNR is lower than the second SNR threshold and the average MCS value is lower than the second MCS threshold, continuing with step A44;
if the average signal-to-noise ratio is not lower than the second signal-to-noise ratio threshold value, or the average MCS value is not lower than the second MCS threshold value, continuing the step A5;
step a44, adjusting the iteration number of the decoder to a second preset multiple of the maximum iteration number, and continuing the step A5.
3. The method of claim 2, wherein the first predetermined multiple is less than the second predetermined multiple.
4. The method of claim 2, wherein the first predetermined multiple is 0.5 and the second predetermined multiple is 0.75.
5. The method according to claim 1, wherein the step A7 of adjusting the iteration count of the decoder according to the average decoding count comprises:
step a71, determining whether the average decoding frequency is higher than an iteration threshold:
if yes, continuing to step A72;
if not, continuing to step A73;
step A72, increasing the iteration times of the decoder according to a first preset value;
step a73, reducing the number of iterations of the decoder according to a second preset value.
6. The method of claim 5, wherein the iteration threshold is a third predetermined multiple of the initial number of iterations.
7. The method of claim 6, wherein the third predetermined multiple is 0.8.
8. The method of claim 5, wherein the first predetermined value is 1 and the second predetermined value is 1.
9. The adaptive iteration number method of a decoder according to claim 1, wherein in performing steps A5-A7, further comprising:
b1, in the decoding process of the decoder, counting the average bit error rate of the physical downlink shared channel in a sliding window;
step B2, judging whether the average bit error rate is higher than a third preset value:
if yes, continuing the step B3;
if not, continuing the step B4;
b3, if the decoder is currently in the self-adaptive iteration function, switching to a common iteration function and then executing decoding; if the decoder is currently in the common iteration function, continuing to execute decoding according to the common iteration function;
step B4, if the decoder is currently in the self-adaptive iteration function, continuing the steps A5-A7, if the decoder is currently in the common iteration function, switching to the self-adaptive iteration function, and executing the steps A1-A7;
wherein the normal iteration function means that the iteration number of the decoder is kept unchanged from the maximum iteration number.
10. An adaptive iteration count system for a decoder, wherein the adaptive iteration count method for a decoder according to any one of claims 1-9 is used, and comprises:
the starting module starts the self-adaptive iteration function;
the setting module is connected with the starting module and used for initializing the decoder and setting the iteration times of the decoder as the maximum iteration times;
the first statistic module is used for counting the average MCS value and the average signal-to-noise ratio of the physical downlink shared channel in the sliding window;
the first adjusting module is respectively connected with the setting module and the counting module and is used for adjusting the iteration times of the decoder as the initial iteration times of the decoder according to the average MCS value and the average signal-to-noise ratio;
the decoder is connected with the first adjusting module and is used for decoding the cell block by using the current iteration times;
the recording module is connected with the decoder and used for recording the actual decoding times used when the decoding of the unit block is successful;
the second statistical module is connected with the recording module and used for calculating the actual decoding times used when the current unit block in the sliding window is successfully decoded and the average decoding times of the actual decoding times used when the previous unit block is successfully decoded;
and the second adjusting module is connected with the second statistical module and the decoder and used for adjusting the current iteration times of the decoder according to the average decoding times.
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| CN116192166B (en) * | 2023-04-28 | 2023-08-01 | 南京创芯慧联技术有限公司 | Iterative decoding method, iterative decoding device, storage medium and electronic equipment |
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