CN115664590A - PDCCH blind detection method based on 5G communication system, terminal and storage medium - Google Patents
PDCCH blind detection method based on 5G communication system, terminal and storage medium Download PDFInfo
- Publication number
- CN115664590A CN115664590A CN202211166178.4A CN202211166178A CN115664590A CN 115664590 A CN115664590 A CN 115664590A CN 202211166178 A CN202211166178 A CN 202211166178A CN 115664590 A CN115664590 A CN 115664590A
- Authority
- CN
- China
- Prior art keywords
- node
- pdcch
- code
- polarization
- pdcch candidates
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 51
- 238000004891 communication Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 23
- 238000012163 sequencing technique Methods 0.000 claims abstract description 7
- 230000010287 polarization Effects 0.000 claims description 59
- 238000004590 computer program Methods 0.000 claims description 4
- 125000004122 cyclic group Chemical group 0.000 claims description 2
- 238000004422 calculation algorithm Methods 0.000 description 14
- 238000004364 calculation method Methods 0.000 description 6
- 238000005457 optimization Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 238000010845 search algorithm Methods 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a PDCCH blind detection method, a terminal and a storage medium based on a 5G communication system, wherein the method comprises the following steps: acquiring all PDCCH candidates for transmitting wireless frame data sent by a sending end to form a PDCCH candidate set; calculating a Metric index value for each of the PDCCH candidates in the PDCCH candidate set; sorting all PDCCH candidates according to the Metric index value of each PDCCH candidate; and decoding the PDCCH candidates according to the sequencing sequence of all the PDCCH candidates, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs. The method can effectively improve the PDCCH blind detection efficiency and has high detection result accuracy.
Description
Technical Field
The invention relates to the technical field of 5G communication, in particular to a PDCCH blind detection method based on a 5G communication system, a terminal and a storage medium.
Background
With the rapid development of wireless communication technology, spectrum resources become more and more tense, and thus, improving the utilization rate of spectrum resources becomes one of the core requirements in the field of wireless communication. Generally, in order to improve the spectrum resource utilization, the system needs to reduce the signaling overhead in the resource, so the time-frequency position of the PDCCH is not informed to the UE, and the UE needs to identify the correct candidate from multiple possible candidates by using a blind detection technique. In the 5G system, the PDSCH carries various types of service data that the UE wants to obtain, and is a target channel that the UE needs to receive correctly. The PDCCH is used as a Control channel and carries a key parameter configured by the system, that is, downlink Control Information (DCI). One of the roles of the DCI is to inform the UE how to correctly receive the PDSCH, which indicates the time-frequency location, modulation and coding format, antenna port and number of layers, etc. of the traffic data in the PDSCH. The number of PDCCH candidates may be very large, and if the PDCCH is not successfully detected within the specified time slot, all the traffic data carried by the PDSCH may be lost. Therefore, how to quickly detect the correct PDCCH candidates becomes a critical challenge.
In the 4G system, the time-frequency distribution of the PDCCH is relatively fixed, the time domain always occupies the beginning of one subframe, and the frequency domain occupies the whole bandwidth. In order to support a more flexible radio resource allocation mechanism, the 5G system defines a control resource set, which is a type of time-frequency resource that can be flexibly allocated by the base station, and is specially used for carrying the PDCCH. Obviously, the time-frequency distribution of the PDCCH is more flexible by controlling the resource set, but the blind detection technique in the 5G system is more complicated, so that the UE can consume more time for positioning the PDCCH in the time-frequency resource than in the 4G system.
In practical industrial applications, the correct candidates are identified by exhaustive search-type blind detection algorithms. After the UE obtains the radio frame data, all steps of mapping from the de-resource to the last Cyclic Redundancy Check (CRC) are sequentially performed for all PDCCH candidates until the CRC Check is successful. The algorithm can not miss any possible candidate, the detection accuracy is high, but the defects of high time delay, high power consumption and high calculation cost cannot be ignored. Moreover, if the blind detection process cannot be completed within the limited time range, the subsequent service data reception will completely fail. Therefore, the algorithm optimization of the blind detection technology has important significance for improving the reliability and stability of the whole 5G wireless system.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a PDCCH blind detection method based on a 5G communication system, a terminal and a storage medium.
In order to achieve the above object, an aspect of the present invention provides a PDCCH blind detection method based on a 5G communication system, including:
acquiring all PDCCH candidates for transmitting wireless frame data sent by a sending end to form a PDCCH candidate set;
calculating a Metric index value for each of the PDCCH candidates in the PDCCH candidate set;
sorting all PDCCH candidates according to the Metric index value of each PDCCH candidate;
and decoding the PDCCH candidates according to the sequencing sequence of all the PDCCH candidates, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs.
Optionally, all PDCCH candidates are sorted in a descending order or a descending order according to the Metric index value of each PDCCH candidate.
Optionally, the calculating a Metric index value of each PDCCH candidate in the PDCCH candidate set includes:
performing channel polarization on each PDCCH candidate in a polarization code channel coding mode to obtain a channel polarization code;
selecting a node containing characteristic information from the channel polarization code as a special node U of the polarization code;
and calculating a Metric index value corresponding to the polar code special node.
Optionally, the polarization code special node U includes:
a first class node satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the last two bits in the code words corresponding to the first type of nodes are information bits;
nodes of a second class satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the last three bits in the code words corresponding to the second class of nodes are information bits;
a third class of nodes satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the first two positions in the code words corresponding to the third class of nodes are frozen bit positions;
a fourth class node satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the first three positions in the code words corresponding to the fourth class of nodes are frozen bit positions;
polar code information bit set of Rate-0 node
All the polarization codes corresponding to the Rate-0 node are frozen bits;
polar code information bit set of Rate-1 node
All the polarization codes corresponding to the Rate-1 node are information bits;
bit set of polarization code information of Rep node
In the polarization code corresponding to the Rep node, the frozen bit in the original data bit
Only the last original data bit is an information bit.
Optionally, calculating Metric index values corresponding to the special nodes of the polar code by using the root node LLR sequence is:
wherein m represents the mth special node in the layer number lambda where the special node U of the polarization code is located; p represents whether the positive or negative of the subsequence for which the minimum value needs to be found satisfies the parity check.
Optionally, when the polar code special node U adopts a third kind of node,
when the special node U of the polarization code adopts a node of the fourth type,
wherein m represents the mth special node in the layer number λ where the special node U of the polarization code is located, and p represents whether the positive and negative of the subsequence requiring the minimum value is satisfied with parity check.
Optionally, after decoding the PDCCH candidates according to the sorting order of all PDCCH candidates, performing CRC check on the decoding operation, and selecting the PDCCH candidates that are successfully decoded as valid PDCCHs.
In another aspect of the present invention, a terminal is further provided, and includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor implements the steps of the PDCCH blind detection method based on the 5G communication system.
In another aspect, the present invention further provides a computer-readable storage medium, where at least one instruction is stored, and the at least one instruction is loaded and executed by a processor to implement the steps of the PDCCH blind detection method based on the 5G communication system.
According to the scheme, the invention has the advantages that:
the PDCCH blind detection method based on the 5G communication system adopts a polarized code channel coding mode to carry out channel polarization on each PDCCH candidate, selects nodes containing characteristic information as polarized code special nodes, and calculates the Metric index value of each PDCCH candidate in the PDCCH candidate set according to the polarized code special nodes; sorting all PDCCH candidates according to the Metric index value of each PDCCH candidate; and decoding the PDCCH candidates according to the sequencing sequence of all the PDCCH candidates, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs. Compared with the PDCCH blind detection method in the prior art, the method fully excavates the characteristic information contained in the polar code, reduces the complexity of calculation based on the polar code special node calculation, can effectively improve the detection efficiency, can remove more than half of candidates under the medium channel condition, and only needs 1 to 2 times of decoding under the good channel condition; and the detection accuracy rate consistent with the exhaustive blind detection can be kept.
Drawings
Fig. 1 is a schematic flowchart of a PDCCH blind detection method based on a 5G communication system according to an embodiment of the present invention;
fig. 2 shows the average number of decodes AL = 1;
fig. 3 shows the average number of decodes AL = 2;
fig. 4 shows the average number of decodes AL = 4;
fig. 5 shows the average number of decodes of AL = 8;
fig. 6 shows the miss rate of AL = 1;
fig. 7 shows the miss rate of AL = 2;
fig. 8 shows the miss rate of AL = 4;
fig. 9 shows the miss rate of AL = 8;
fig. 10 is a schematic structural diagram of a terminal device;
wherein:
500-a terminal;
501, a processor;
502-memory.
Detailed Description
In order to make the aforementioned features and effects of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.
Specifically, referring to fig. 1, fig. 1 shows a flowchart of a PDCCH blind detection method based on a 5G communication system;
a PDCCH blind detection method based on a 5G communication system is applied to detection of a PDCCH downlink control channel in the 5G communication system so as to screen out an effective PDCCH. The method specifically comprises the following steps:
s1, acquiring all PDCCH candidates for transmitting wireless frame data sent by a sending end to form a PDCCH candidate set;
s2, calculating a Metric index value of each PDCCH candidate in the PDCCH candidate set.
In this embodiment, a 5G PDCCH blind detection optimization algorithm based on a special node of a polarization code is specifically adopted, that is, polarization is adopted
And in the code channel coding mode, carrying out channel polarization on each PDCCH candidate to obtain a channel polarization code. Then, selecting a node containing characteristic information from the channel polarization code as a polarization code special node U, and adopting the polarization code special node to carry out acceleration processing and reduction in the polarization code decoding stageLess decoding delay. In this embodiment, the special node U of the polarization code specifically includes a first Type node Type-I node, a second Type node Type-II node, a third Type node Type-III node, a fourth Type node Type-IV node, a Rate-0 node, a Rate-1 node, and a Rep node, where the Type-I node satisfies the code word length N of the polarization code U Not less than 4, and polarization code information bit set
Only the last two bits in the code words corresponding to the first type of nodes are information bits; the Type-II node satisfies the length N of the code word of the polarization code U Not less than 4 and polar code information bit set
Only the last three bits in the code words corresponding to the second class of nodes are information bits; the Type-III node satisfies the length N of the code word of the polarization code U Not less than 4 and polar code information bit set
Only the first two positions in the code words corresponding to the third class of nodes are frozen bit positions; the Type-IV node satisfies the length N of the code word of the polarization code U Not less than 4 and polar code information bit set
Only the first three positions in the code words corresponding to the fourth class of nodes are frozen bit positions; polar code information bit set of Rate-0 node
All the polarization codes corresponding to the Rate-0 node are frozen bits, and obviously, all the code word bits of the node are 0; polar code information bit set of Rate-1 node
The above-mentionedAll the polarization codes corresponding to the Rate-1 node are information bits, and at the moment, no redundant information exists in the node; bit set of polarization code information of Rep node
In the polarization code corresponding to the Rep node, the frozen bit in the original data bit
Only the last original data bit is an information bit. Then, according to the selected special node of the polarization code, calculating a Metric index value corresponding to the special node of the polarization code by using a root node LLR sequence, which specifically comprises the following steps:
wherein, p represents whether the positive and negative of the subsequence which needs to obtain the minimum value meets the parity check, when the special node U of the polar code adopts the third type of node,
when the special node U of the polarization code adopts the fourth kind of node,
m represents the mth special node in the layer number lambda where the special node U of the polarization code is located.
In this embodiment, it is considered that the occupation ratio of elements capable of effectively contributing in the LLR sequence is related to the number of layers λ where the special node U of the polarization code is located, and therefore, theoretically, the closer the number of layers of the special node U of the polarization code is to the root node, that is, the smaller λ is, the more accurate the Metric calculation is. In addition to the node of Rate-0, the node of Rate-1 and the node of Rep, the embodiment selects four types of special nodes of Type-I, type-II, type-III and Type-IV to perform MetriAnd c, calculating. The lengths N of the polarization code words corresponding to the four types of special nodes U Not less than 4, so as to ensure that the information bit set corresponding to the current polarization code
The number of layers lambda of each extracted special node is not too large.
S3, sorting all PDCCH candidates according to the Metric index value of each PDCCH candidate.
In a specific implementation, all the PDCCH candidates are sorted in a descending order or a descending order according to the Metric index value of each PDCCH candidate.
S4, decoding the PDCCH candidates according to the sequencing sequence of all the PDCCH candidates, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs.
In the prior art, a Metric threshold is directly specified for distinguishing a valid PDCCH candidate from an invalid PDCCH candidate, and the optimal value of the threshold is difficult to determine, so that the accuracy of the detection result of PDCCH blind detection is unstable. Therefore, in this embodiment, the PDCCH candidates are decoded by using a sorting method according to the Metric index value of each PDCCH candidate, so that the stability of the optimization algorithm is ensured, effective candidates that can be successfully detected cannot be mistakenly removed, and the effectiveness consistent with the poor search algorithm can be achieved.
In addition, after the PDCCH candidates are decoded according to the sorting sequence of all the PDCCH candidates, CRC check is further performed on the decoding operation, and the PDCCH candidates which are successfully decoded are selected as effective PDCCHs.
In summary, in the PDCCH blind detection method based on the 5G communication system provided in this embodiment, compared with the prior art, a polarization code channel coding manner is adopted to perform channel polarization on each PDCCH candidate, a node including feature information is selected as a polarization code special node, and a Metric index value of each PDCCH candidate in the PDCCH candidate set is calculated according to the polarization code special node; sorting all PDCCH candidates according to the Metric index value of each PDCCH candidate; and decoding the PDCCH candidates according to the sequencing sequence of all the PDCCH candidates, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs. Compared with the PDCCH blind detection method in the prior art, the method fully excavates the characteristic information contained in the polar code, reduces the complexity of calculation based on the polar code special node calculation, can effectively improve the detection efficiency, can remove more than half of candidates under the medium channel condition, and only needs 1 to 2 times of decoding under the good channel condition; and moreover, the detection accuracy rate consistent with the exhaustive blind detection can be kept.
According to the simulation parameters shown in table 1, a simulation example is performed, and the detection efficiency and the algorithm stability of an exhaustive blind detection algorithm, three basic algorithms of the conventional PDCCH blind detection method based on the polar code, and the PDCCH blind detection method based on the special node of the polar code provided by the invention are compared.
TABLE 1 Blind detection simulation parameter settings
Fig. 2 shows the average number of decoding times of AL =1, fig. 3 shows the average number of decoding times of AL =2, fig. 4 shows the average number of decoding times of AL =4, and fig. 5 shows the average number of decoding times of AL = 8. It can be seen from the graph 2,3,4,5 that the optimization algorithm based on the special node of the polarization code provided by the invention has the average decoding times T under single blind detection under 4 different types of conditions avg The downward trend of the curve is quite stable. First, in the case of poor signal-to-noise ratio of channel, the average decoding time T is limited by the error correction performance of the polar code decoder avg Close to a poor blind search detection algorithm. When the signal-to-noise ratio condition of the channel is above the medium, the invention is blindThe detection performance of the detection method is embodied at first, more than half of invalid candidates can be removed under the medium channel condition, and the average decoding times T under the good channel condition avg Can be stabilized between 1 and 2, which means that only 1 to 2 decoding times are needed to successfully detect and obtain the correct DCI information bits. The polar code special node used by the blind detection method of the invention contains characteristic information, so that the algorithm can quickly measure the effectiveness of the PDCCH candidates.
Further, fig. 6 shows the omission factor of AL =1, fig. 7 shows the omission factor of AL =2, fig. 8 shows the omission factor of AL =4, and fig. 9 shows the omission factor of AL = 8. From the comparison of 6,7,8,9, it can be seen that the missing rate of the conventional basic algorithm based on the special node of the polar code is severely affected by the threshold. The PDCCH blind detection method based on the special node of the polarization code can achieve the consistent leak detection rate performance of the poor blind search detection algorithm under all simulation conditions, and the stability of the algorithm is verified.
In addition, an embodiment of the present invention further provides a terminal 500, as shown in fig. 10, which includes a processor 501, a memory 502, and a program or an instruction stored in the memory 502 and executable on the processor 501, where the program or the instruction, when executed by the processor 501, implements the steps of the PDCCH blind detection method based on the 5G communication system, and can achieve the same technical effects.
It should be noted that the terminal device in the embodiment of the present application may include a mobile electronic device and a non-mobile electronic device.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the steps of the PDCCH blind detection method based on the 5G communication system are implemented, and the same technical effects can be achieved.
The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functionality involved, e.g., the methods described may be performed in an order different than that described, and various steps may be applied, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A PDCCH blind detection method based on a 5G communication system is characterized by comprising the following steps:
acquiring all PDCCH candidates for transmitting wireless frame data sent by a sending end to form a PDCCH candidate set;
calculating a Metric index value for each of the PDCCH candidates in the PDCCH candidate set;
sorting all PDCCH candidates according to the Metric index value of each PDCCH candidate;
and decoding the PDCCH candidates according to the sequencing sequence of all the PDCCH candidates, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs.
2. The method of claim 1,
and sorting all the PDCCH candidates in a descending or descending order according to the Metric index value of each PDCCH candidate.
3. The method of claim 1, wherein the calculating a Metric index value for each of the PDCCH candidates in the PDCCH candidate set comprises:
performing channel polarization on each PDCCH candidate in a polarization code channel coding mode to obtain a channel polarization code;
selecting a node containing characteristic information from the channel polarization code as a special node U of the polarization code;
and calculating a Metric index value corresponding to the polar code special node.
4. The method of claim 3, wherein the polar code special node U comprises:
nodes of a first type, said nodes of a first typeSatisfying the code word length N of the polarization code U Not less than 4 and polar code information bit set
Only the last two bits in the code words corresponding to the first type of nodes are information bits;
nodes of a second class satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the last three bits in the code words corresponding to the second class of nodes are information bits;
a third class of nodes satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the first two positions in the code words corresponding to the third class of nodes are frozen bit positions;
a fourth class node satisfying a polar code codeword length N U Not less than 4 and polar code information bit set
Only the first three positions in the code words corresponding to the fourth class of nodes are frozen bit positions;
polar code information bit set of Rate-0 node
All the polarization codes corresponding to the Rate-0 node are frozen bits;
polar code information bit set of Rate-1 node
All the polarization codes corresponding to the Rate-1 node are information bits;
rep nodePolar code information bit set
In the polarization code corresponding to the Rep node, the frozen bit in the original data bit
Only the last original data bit is an information bit.
5. The method of claim 4,
calculating Metric index values corresponding to the special nodes of the polarization codes by using the LLR sequences of the root nodes as follows:
wherein m represents the mth special node in the layer number lambda where the special node U of the polarization code is located; p represents whether the positive or negative of the subsequence for which the minimum value needs to be found satisfies the parity check.
6. The method of claim 5,
when the special node U of the polar code adopts a third-class node,
when the special node U of the polarization code adopts a node of the fourth type,
wherein m represents the mth special node in the layer number λ where the special node U of the polarization code is located, and p represents whether the positive and negative of the subsequence requiring the minimum value is satisfied with parity check.
7. The method of claim 1,
and after decoding the PDCCH candidates according to the sequencing order of all the PDCCH candidates, performing CRC (cyclic redundancy check) on the decoding operation, and selecting the PDCCH candidates which are successfully decoded as effective PDCCHs.
8. A terminal, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to implement the steps of the PDCCH blind detection method based on 5G communication system according to any one of claims 1 to 7.
9. A computer-readable storage medium, wherein at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the steps of the PDCCH blind detection method based on 5G communication system according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211166178.4A CN115664590A (en) | 2022-09-23 | 2022-09-23 | PDCCH blind detection method based on 5G communication system, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211166178.4A CN115664590A (en) | 2022-09-23 | 2022-09-23 | PDCCH blind detection method based on 5G communication system, terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115664590A true CN115664590A (en) | 2023-01-31 |
Family
ID=84985831
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211166178.4A Pending CN115664590A (en) | 2022-09-23 | 2022-09-23 | PDCCH blind detection method based on 5G communication system, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115664590A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018028509A1 (en) * | 2016-08-10 | 2018-02-15 | Huawei Technologies Co., Ltd. | Methods and systems for blind detection with polar code |
| CN109286473A (en) * | 2018-11-16 | 2019-01-29 | 北京航空航天大学 | A kind of low complex degree PDCCH channel blind detecting method based on polarization code |
| CN109673056A (en) * | 2019-03-11 | 2019-04-23 | 重庆邮电大学 | PDCCH adaptive blind detection method in 5G system based on power measurement |
| CN109743139A (en) * | 2019-01-30 | 2019-05-10 | 武汉虹旭信息技术有限责任公司 | Method based on PDCCH blind examination in 5G car networking D2D communication |
| WO2019201269A1 (en) * | 2018-04-19 | 2019-10-24 | 华为技术有限公司 | Polar code encoding method and device |
| WO2020000478A1 (en) * | 2018-06-30 | 2020-01-02 | Intel IP Corporation | Method and apparatus for blind detection of pdcch and pdsch using ue-specific reference signals |
| CN113067675A (en) * | 2021-03-18 | 2021-07-02 | 重庆重邮汇测电子技术研究院有限公司 | Fast PDCCH blind detection method based on pruning SCL polarization code decoding |
| CN114598439A (en) * | 2022-05-09 | 2022-06-07 | 广州世炬网络科技有限公司 | PDCCH blind detection method, terminal and storage medium for 5G communication system |
-
2022
- 2022-09-23 CN CN202211166178.4A patent/CN115664590A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018028509A1 (en) * | 2016-08-10 | 2018-02-15 | Huawei Technologies Co., Ltd. | Methods and systems for blind detection with polar code |
| WO2019201269A1 (en) * | 2018-04-19 | 2019-10-24 | 华为技术有限公司 | Polar code encoding method and device |
| WO2020000478A1 (en) * | 2018-06-30 | 2020-01-02 | Intel IP Corporation | Method and apparatus for blind detection of pdcch and pdsch using ue-specific reference signals |
| CN109286473A (en) * | 2018-11-16 | 2019-01-29 | 北京航空航天大学 | A kind of low complex degree PDCCH channel blind detecting method based on polarization code |
| CN109743139A (en) * | 2019-01-30 | 2019-05-10 | 武汉虹旭信息技术有限责任公司 | Method based on PDCCH blind examination in 5G car networking D2D communication |
| CN109673056A (en) * | 2019-03-11 | 2019-04-23 | 重庆邮电大学 | PDCCH adaptive blind detection method in 5G system based on power measurement |
| CN113067675A (en) * | 2021-03-18 | 2021-07-02 | 重庆重邮汇测电子技术研究院有限公司 | Fast PDCCH blind detection method based on pruning SCL polarization code decoding |
| CN114598439A (en) * | 2022-05-09 | 2022-06-07 | 广州世炬网络科技有限公司 | PDCCH blind detection method, terminal and storage medium for 5G communication system |
Non-Patent Citations (3)
| Title |
|---|
| HE SUN ET.AL: "A Novel Blind Detection Scheme of Polar Codes", 《IEEE COMMUNICATIONS LETTERS》, vol. 23, no. 08, 31 August 2019 (2019-08-31) * |
| MCGILL UNIVERSITY: ""R1-1713316 Blind detection polar"", 3GPP TSG_RAN\\WG1_RL1, 12 August 2017 (2017-08-12) * |
| 王玲: "5G路测仪物理下行控制信道盲检过程的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 03, 15 March 2022 (2022-03-15), pages 2 - 5 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2454795C2 (en) | Channel decoding using a-priori information in channel-map messages | |
| CN105164956B (en) | Speed matching method and equipment, the wireless communication device of Polar code | |
| RU2452101C2 (en) | Decoding scheme using multiple hypotheses about transmitted messages | |
| CN109314602A (en) | Device and method for error detection coding | |
| US9504042B2 (en) | System and method for encoding and decoding of data with channel polarization mechanism | |
| TWI459744B (en) | Method and apparatus for conveying antenna configuration information via masking | |
| KR20030036842A (en) | Method and apparatus for reducing power consumption of a decoder in a communication system | |
| US11296723B2 (en) | Methods and apparatuses for data processing in communication system | |
| EP2304909B1 (en) | Methods and systems for improving frame decoding performance using known information | |
| CN113067675A (en) | Fast PDCCH blind detection method based on pruning SCL polarization code decoding | |
| US12015486B2 (en) | Data retransmission decoding method, apparatus and system, and communication device | |
| KR20180010849A (en) | Method for controlling decoding process based on path metric value and computing apparatus and mobile device for controlling the same | |
| WO2018098691A1 (en) | Control channel generation method, control channel detection method, and related apparatus | |
| KR20200036338A (en) | Apparatus and method for encoding and decoding unsing polar code in wireless communication system | |
| CN115664590A (en) | PDCCH blind detection method based on 5G communication system, terminal and storage medium | |
| US20130324138A1 (en) | Method and apparatus for performing channel coding type control | |
| CN110768748B (en) | Convolutional code decoder and convolutional code decoding method | |
| US10200152B2 (en) | Method and device for transmitting data using LDPC code | |
| WO2018143124A1 (en) | Communication device and sequence selection method | |
| KR20130118373A (en) | Methods and apparatus for simultaneous transmission and reception of a data sequence and channel information for link adaptation | |
| JP5759624B2 (en) | Method and communication apparatus for estimating block error rate | |
| CN112187409B (en) | Decoding method and device, terminal, chip and storage medium | |
| CN111246427B (en) | Transmission control method, system, equipment, medium and auxiliary link terminal of auxiliary link | |
| WO2020019954A1 (en) | Method and device for decoding polar code, storage medium, and electronic device | |
| US20200186297A1 (en) | Electronic transceiver device, method and computer program for decoding control information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |