CN112671508B - 5G NR PDCCH blind detection method - Google Patents
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Abstract
The invention provides a blind detection method of a 5G NR PDCCH, which belongs to the field of wireless communication and comprises CSS blind detection and USS blind detection, wherein the method adopts a pure software mode to realize the rapid blind detection of the 5G NR PDCCH, and reduces the blind detection times under the condition of ensuring the success probability of the blind detection so as to improve the blind detection efficiency. Aiming at the problem that the power needs to be calculated in two steps in the existing blind detection method, parallel calculation is adopted for each candidate, and the processing speed is improved; and for AL sequence errors caused by the Channel Quality (CQI) positioned at the boundary, adjusting the AL sequence corresponding to the boundary CQI and reducing the blind detection times.
Description
Technical Field
The invention belongs to the field of wireless communication, and particularly relates to a 5G NR PDCCH blind detection method.
Background
In wireless communication based on the 5G NR protocol, the UE side needs to demodulate a received PDCCH and acquire control information necessary for demodulating a data channel. Therefore, correct demodulation of the PDCCH plays a crucial role in the demodulation of the data channel. The 5G NR introduces CORESET and PDCCH DMRS when processing PDCCH. Demodulation of the PDCCH first requires blind detection. To reduce the number of blind detections, the protocol defines a search space to reduce the CCE candidate set as much as possible. In the 5G system, the search spaces are divided into Common Search Spaces (CSS) and user-specific search spaces (USS), wherein the common search spaces are subdivided into Type0-PDCCH common search spaces, Type0A-PDCCH common search spaces, Type1-PDCCH common search spaces, Type2-PDCCH common search spaces, and Type3-PDCCH common search spaces. The network side divides the channel into 4 grades of poor, general, better and excellent according to the information feedback of the UE to the CQI. The UE may determine the current channel state quality according to the CQI value in the channel feedback, and further preliminarily determine a possible Aggregation Level (AL) detection order of the PDCCH in the transmission time interval, as shown in table 1. There are only 3 aggregation levels in CSS, 4, 8, 16, respectively; there are 5 aggregation levels in the USS, 1,2, 4, 8, 16 respectively.
TABLE 1 Blind test aggregation level order
| CQI c | Channel environment | AL sequence | |
| 0≤c≤2 | Difference (D) | 16、8、4、2、1 | |
| 3≤c≤6 | In general | 8、4、2、16、1 | |
| 7≤c≤9 | Good taste | 2、4、1、8、16 | |
| 10≤c≤15 | Is preferably used | 1、2、4、8、16 |
The prior art adopts the following scheme:
1) CSS blind detection:
(1) according to the value c of the CQI, the AL sequence of blind detection is self-adapted;
(2) respectively calculating power values of all candidate sets under 3 levels (4/8/16), and sorting in a descending order to obtain a power value set of the sorted candidate sets and a corresponding initial position set;
(3) eliminating candidate set serial numbers through two steps of power measurement;
(4) and performing DMRS removal, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate set corresponding to the maximum power in the set according to the AL sequence. If the CRC is successful, the blind test is finished, if the CRC fails, the candidate corresponding to the maximum power in the next level is detected in sequence, and the rest is repeated, if the CRC still fails, the step (5) is carried out;
(5) traversing the maximum power candidate set corresponding to each grade, and selecting the candidate set corresponding to the secondary high power for detection on the rest candidate sets according to the step (4);
(6) and if all candidate sets which are not removed are detected and are not detected successfully, finishing the blind detection failure and the blind detection.
2) USS blind detection:
(1) according to the value c of the CQI, the AL sequence of blind detection is self-adapted;
(2) calculating the power of all candidate sets under the first 4 aggregation levels (1/2/4/8) of the AL sequence, sorting the power values in a descending order, and recording the sequence numbers of the candidate sets;
(3) rejecting part of candidate set serial numbers according to the same rule as CSS blind test, and merging the candidate set of the last aggregation level of the AL sequence into a candidate set serial number set;
(4) sequentially carrying out blind detection on candidate sets corresponding to the maximum power values under 4 aggregation levels according to an AL sequence, finishing the blind detection if CRC (cyclic redundancy check) is successful, judging whether all non-eliminated candidates are traversed or not, jumping to the step (5) if the non-eliminated candidates are traversed, and selecting the candidate set corresponding to the next maximum power value of 4 levels or the candidate set of the last level for blind detection if the previous 4 levels are traversed;
(5) and if all candidate sets which are not removed are detected and are not detected successfully, finishing the blind detection failure and the blind detection.
The above-mentioned existing blind detection methods have the following disadvantages: firstly, a two-step algorithm is adopted to calculate power values, candidate set serial numbers are removed, and the average power of each CCE in the whole CORESET is expressed by using a maximum power value; secondly, when selecting the AL sequence according to the CQI at the boundary in table 1, there is an AL sequence determination error, for example, when c is 6 and the base station considers that the environmental channel quality is good, the AL sequence should be 2, 4, 1, 8, and 16, and if the blind test is performed according to the sequence of AL 4, 8, 2, 16, and 1, the number of blind tests is increased, and the blind test efficiency is low.
Disclosure of Invention
In order to solve the problems, the invention provides a 5G NR PDCCH blind detection method, which directly carries out parallel blind detection without calculating a power value; for the AL sequence error caused by the boundary CQI, the unnecessary blind detection times introduced by the error are reduced by changing the AL sequence corresponding to the boundary CQI.
In order to achieve the purpose, the invention adopts the following technical scheme:
a blind detection method for a 5G NR PDCCH comprises CSS blind detection and USS blind detection; wherein,
CSS blind detection, comprising the following steps:
1.1: in wireless communication based on a 5G NR protocol, a UE end measures and obtains a CQI value c, and a CSS blind detection AL sequence table is checked according to the value of c to determine an AL sequence;
1.2: determining the maximum number of candidates according to the value of AL
Wherein L represents an aggregation level and s represents a search space set;
1.3: according to the formula
Calculating time slots in AL order
Index of CCE with aggregation level AL in the search space set s of the above-associated CORESET p, wherein f represents a frame index, mu represents a parameter set and takes one of 0,1,2,3 or 4,
N CCE,p denotes the number of CCEs, n CI Indicating a carrier indicator, 0, i-0, …, L-1 by default.
1.4: according to the result of the step 1.3, sequentially carrying out DMRS removal, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate PDCCH acquired by the UE end; if the CRC is successful, blind detection is finished; if CRC fails, detecting the candidate PDCCH in the next level in the AL in sequence, and so on, if the CRC still fails, executing the step 1.5;
1.5: sequentially checking all candidate sets of AL, and if the candidate sets of AL are not successful, failing blind check;
USS blind test comprises the following steps:
2.1: checking an USS blind test AL sequence table according to a value c of CQI measured by the UE to determine an AL sequence;
2.2: determining the maximum number of candidates according to the value of AL
2.3: according to the formula
Calculating time slots in AL order
Index of CCE with aggregation level AL within search space set s of above-associated CORESET p, where
Y p,-1 ＝n RNTI ≠0，n RNTI Denotes the value of C-RNTI, A p Represents the amplitude factor corresponding to CORESET p, if pmod3 is 0, then a p 39827, if pmod3 is 1, then a p 39829, if pmod3 is 2, then a p ＝39839，
N CCE,p Denotes the number of CCEs, n CI Denotes a carrier indicator, which is 0 by default, i-0, …, L-1;
2.4: according to the result of the step 2.3, sequentially carrying out DMRS removal, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate PDCCH acquired by the UE end; if the CRC is successful, blind detection is finished; if CRC fails, detecting the candidate PDCCH in the next level in the AL in sequence, and so on, if the CRC still fails, executing the step 2.5;
2.5: and (5) sequentially checking all candidate sets of AL, and if the candidate sets of AL are not successful, failing to perform blind check.
Preferably, the CSS blind-test AL order table in step 1.1 is defined as follows: when c is more than or equal to 0 and less than 2, the channel environment quality is poor, and the AL sequence is 16, 8 and 4; when c is more than 3 and less than 6, the channel environment quality is general, and the AL sequence is 8, 4 and 16; when c is more than 7 and less than or equal to 15, the channel environment quality is good, and the AL sequence is 4, 8 and 16; when c is 2 or 3, AL is 8, 16, 4; when c is 6 or 7, AL is in the order of 4, 8, 16.
Preferably, in the step 1.2, the AL values of the Type0-PDCCH CSS, the Type0A-PDCCH CSS and the Type2-PDCCH CSS are equal to
The values correspond to the following: when AL is 4, the AL content is,
when AL is equal to 8, the AL content,
when AL is 16 the number of atoms is,
while of Type1-PDCCH CSS and Type3-PDCCH CSS
Preferably, the USS blind inspection AL sequence table in step 2.1 is defined as follows: when c is more than or equal to 0 and less than 2, the channel environment quality is poor, and the AL sequence is 16, 8, 4, 2 and 1; when c is more than 3 and less than 6, the channel environment quality is general, and the AL sequence is 8, 4, 2, 16 and 1; when c is more than 7 and less than 9, the channel environment quality is good, and the AL sequence is 2, 4, 1, 8 and 16; when c is more than 10 and less than or equal to 15, the channel environment quality is excellent, and the AL sequence is 1,2, 4, 8 and 16; when c is 2 or 3, AL is in the order 8, 16, 4, 2, 1; when c is 6 or 7, AL is in the order 4, 2, 8, 1, 16; when c is 9 or 10, AL is in the order 2, 1, 4, 8, 16.
The invention has the following beneficial technical effects:
the method reduces the blind detection times under the condition of ensuring the success probability of the blind detection, thereby improving the blind detection efficiency; the power is not required to be calculated in two steps, and parallel calculation is adopted for each candidate, so that the processing speed is increased; for AL sequence errors caused by the boundary CQI, adjusting an AL sequence corresponding to the boundary CQI, and reducing the blind test times; the designed demodulation test method is realized based on pure software, and has good program portability and low cost.
Drawings
FIG. 1 is a flow chart of a blind test of the method of the present invention;
fig. 2 is a graph comparing the PDCCH average blind detection times according to the embodiment of the present invention with the PDCCH of the prior art.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 shows a flow chart of blind inspection of the method of the present invention, which includes the following steps:
1) CSS blind detection:
(1) in wireless communication based on a 5G NR protocol, a UE end measures and obtains a CQI value c, and a corresponding AL sequence is searched in a table 2 according to the value of c;
TABLE 2 Blind test AL order table in CSS
| CQI c | Channel environment | AL sequence | |
| 0≤c＜2 | Difference (D) | 16、8、4 | |
| c is 2 or 3 | 8、16、4 | ||
| 3＜c＜6 | In general | 8、4、16 | |
| c is 6 or 7 | 4、8、16 | ||
| 7＜c≤15 | Good taste | 4、8、16 |
(2) Determining the maximum number of candidates based on the value of AL and Table 3
Wherein L represents an aggregation level and s represents a search space set; for Type1-PDCCH and Type3-PDCCH,
TABLE 3 maximum PDCCH candidate number in Type0-PDCCH/Type0A-PDCCH/Type2-PDCCH CSS
(3) According to the formula
Calculating time slots in AL order
Index of CCE with aggregation level AL in the search space set s of the above-associated CORESET p, wherein f represents a frame index, mu represents a parameter set and takes one of 0,1,2,3 or 4,
N CCE,p denotes the number of CCEs, n CI Indicating a carrier indicator, 0, i-0, …, L-1 by default.
(4) According to the result of (3), sequentially carrying out DMRS removing, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate PDCCH acquired by the UE; if the CRC is successful, blind detection is finished; if CRC fails, detecting the candidate PDCCH in the next level in the AL in sequence, and so on, if the CRC still fails, executing the step (5);
(5): sequentially checking all candidate sets of AL, and if the candidate sets of AL are not successful, failing blind check;
2) USS blind detection:
(1) searching a corresponding AL sequence in a table 4 according to a value c of CQI obtained by the measurement of the UE end;
TABLE 4 sequence of blind AL tests in USS
| CQI c | Channel environment | AL sequence | |
| 0≤c＜2 | Difference between | 16、8、4、2、1 | |
| c is 2 or 3 | 8、16、4、2、1 | ||
| 3＜c＜6 | In general | 8、4、2、16、1 | |
| c is 6 or 7 | 4、2、8、1、16 | ||
| 7＜c＜9 | Good taste | 2、4、1、8、16 | |
| c is 9 or 10 | 2、1、4、8、16 | ||
| 10＜c≤15 | Is excellent in | 1、2、4、8、16 |
(2) According to the formula
Calculating time slots in AL order
Index of CCE with aggregation level AL within search space set s of above-associated CORESET p, where
Y p,-1 ＝n RNTI ≠0，n RNTI Denotes the value of C-RNTI, A p Represents the amplitude factor corresponding to CORESET p, if pmod3 is 0, then a p 39827, if pmod3 is 1, then a p 39829, if pmod3 is 2, then a p ＝39839，
N CCE,p Denotes the number of CCEs, n CI Denotes a carrier indicator, which is 0 by default, i-0, …, L-1;
(3) according to the result of (2), sequentially carrying out DMRS removal, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate PDCCH acquired by the UE; if the CRC is successful, blind detection is finished; if CRC fails, detecting the candidate PDCCH in the next level in the AL in sequence, and so on, if the CRC still fails, executing the step (4);
(4) and (5) sequentially checking all candidate sets of AL, and if the candidate sets of AL are not successful, failing to perform blind check.
The method does not need to calculate the power of each candidate PDCCH in the candidate set and carry out sequencing operation; for the problem that the AL sequence error is easily caused by the CQI value positioned at the boundary, the invention reduces the blind test times by adjusting the AL sequence corresponding to the boundary CQI. In order to verify the feasibility of the blind detection method, a comparison experiment is carried out with the prior art, simulation parameters are shown in table 5, an experiment result obtained by simulating according to the detection flow chart shown in fig. 1 is shown in fig. 2, the average blind detection frequency of the blind detection method is reduced by 3 times under the condition that the success probability of the blind detection is not reduced, the blind detection frequency is reduced by 23 percent compared with the prior result, and the blind detection efficiency is obviously improved.
TABLE 5 simulation parameters
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (2)
1. A5G NR PDCCH blind detection method is characterized by comprising CSS blind detection and USS blind detection; wherein,
CSS blind detection, comprising the following steps:
1.1: in wireless communication based on a 5G NR protocol, a UE (user equipment) end measures and obtains a CQI value c, and a CSS (cascading Style sheets) blind test AL sequence table is checked according to the value of c to determine an AL sequence;
the CSS blind test AL order table is specified as follows: when c is more than or equal to 0 and less than 2, the channel environment quality is poor, and the AL sequence is 16, 8 and 4; when c is more than 3 and less than 6, the channel environment quality is general, and the AL sequence is 8, 4 and 16; when c is more than 7 and less than or equal to 15, the channel environment quality is good, and the AL sequence is 4, 8 and 16; when c is 2 or 3, AL is 8, 16, 4; when c is 6 or 7, AL is in the order of 4, 8, 16;
1.2: determining the maximum number of candidates according to the value of AL
Wherein, L represents an aggregation level, and s represents a search space set;
1.3: according to the formula
Calculating time slots in AL order
Index of CCE with aggregation level AL in the search space set s of the above-associated CORESET p, wherein f represents a frame index, mu represents a parameter set and takes one of 0,1,2,3 or 4,
N CCE,p denotes the number of CCEs, n CI Denotes a carrier indicator, which is 0 by default, i-0, …, L-1;
1.4: according to the result of the step 1.3, sequentially carrying out DMRS removal, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate PDCCH acquired by the UE end; if the CRC is successful, blind detection is finished; if the CRC fails, detecting the candidate PDCCH in the next level in the AL in sequence, and so on, if the CRC still fails, executing the step 1.5;
1.5: sequentially checking all candidate sets of AL, and if the candidate sets of AL are not successful, failing blind check;
USS blind test comprises the following steps:
2.1: according to a CQI value c obtained by UE side measurement, checking a USS blind detection AL sequence table to determine an AL sequence;
the USS blind test AL sequence table is specified as follows: when c is more than or equal to 0 and less than 2, the channel environment quality is poor, and the AL sequence is 16, 8, 4, 2 and 1; when c is more than 3 and less than 6, the channel environment quality is general, and the AL sequence is 8, 4, 2, 16 and 1; when c is more than 7 and less than 9, the channel environment quality is good, and the AL sequence is 2, 4, 1, 8 and 16; when c is more than 10 and less than or equal to 15, the channel environment quality is excellent, and the AL sequence is 1,2, 4, 8 and 16; when c is 2 or 3, AL is in the order 8, 16, 4, 2, 1; when c is 6 or 7, AL is in the order 4, 2, 8, 1, 16; when c is 9 or 10, AL is in the order 2, 1, 4, 8, 16;
2.2: determining the maximum number of candidates according to the value of AL
2.3: according to the formula
Calculating time slots in AL order
Index of CCE with aggregation level AL in search space set s of above-associated CORESET p, wherein
Y p,-1 ＝n RNTI ≠0，n RNTI Denotes the value of C-RNTI, A p Represents the amplitude factor corresponding to CORESET p, if pmod3 is 0, then a p 39827, if pmod3 is 1, then a p 39829, if pmod3 is 2, then a p ＝39839，
N CCE,p Denotes the number of CCEs, n CI Indicating a carrier indicator, defaultConsider 0, i-0, …, L-1;
2.4: according to the result of the step 2.3, sequentially carrying out DMRS removal, demodulation, descrambling, rate de-matching, Polar decoding and CRC (cyclic redundancy check) on the candidate PDCCH acquired by the UE end; if the CRC is successful, blind detection is finished; if CRC fails, detecting the candidate PDCCH in the next level in the AL in sequence, and so on, if the CRC still fails, executing the step 2.5;
2.5: and (5) sequentially checking all candidate sets of AL, and if the candidate sets of AL are not successful, failing to perform blind check.
2. The method for blind detection of 5G NR PDCCH according to claim 1, wherein in the step 1.2, AL values of Type0-PDCCH CSS, Type0A-PDCCH CSS and Type2-PDCCH CSS are associated with
The values correspond to the following: when AL is 4, the AL content is,
when AL is equal to 8, the AL content,
when AL is 16 the number of atoms is,
while of Type1-PDCCH CSS and Type3-PDCCH CSS
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