CN115173996B - Blind detection processing method and device, computer equipment and storage medium - Google Patents
Blind detection processing method and device, computer equipment and storage medium Download PDFInfo
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
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Abstract
The embodiment of the invention discloses a blind detection processing method, a blind detection processing device, computer equipment and a storage medium. The method comprises the following steps: soft combining is carried out on the soft bit set matched with the target PDCCH candidate set, so that a soft bit combined set is obtained; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH. The technical scheme of the embodiment of the invention solves the problem of high computational complexity of the decoder in the blind detection process of the PDCCH, and realizes the great reduction of the workload of the decoder, the reduction of the computational complexity in the blind detection process and the reduction of the power consumption of the decoder.
Description
Technical Field
The embodiment of the invention relates to a wireless communication technology, in particular to a blind detection processing method, a blind detection processing device, computer equipment and a storage medium.
Background
Wireless cellular systems use a large number of low power base stations in transmission, each covering only a limited area. In this way, the capacity increases each time a new base station is established, since the same spectrum can be multiplexed several times within a specified area. The basic principle of cellular is to divide the coverage area into a large number of connected small areas, each using its own radio base station. Channels are allocated to these small areas in an intelligent manner that reduces interference and provides sufficient performance to meet the traffic in these areas. A base station in a wireless cellular system uses PDCCH (Physical Downlink Control Channel ) to carry DCI (Downlink Control Information, downlink control information). The UE (User Equipment) obtains the required DCI by decoding the PDCCH, and obtains the resource allocation information.
In the prior art, the UE mainly acquires DCI through a blind detection manner, where the specific blind detection manner is: and in the search space, according to a plurality of possible DCI aggregation levels, after calculating the positions of all PDCCH candidate sets, decoding each extracted PDCCH candidate set, and verifying whether the decoding result contains correct DCI or not so as to finally blindly detect the DCI in the PDCCH.
The inventors have found that the following drawbacks exist in the prior art in the process of implementing the present invention: DCI for indicating UE resource allocation information can be stored in a public search space or a special storage space of the UE, and the number of PDCCH candidate sets required to be decoded is very large by combining with DCI aggregation level, and 2 possible DCI lengths are possible under different transmission modes, so that the final decoding times can be doubled again. Furthermore, in the blind detection process of the PDCCH, the decoder needs to perform multiple decoding operations, and the calculation complexity of the decoder is high, so that excessive decoding power consumption can be brought.
Disclosure of Invention
The embodiment of the invention provides a blind detection processing method, a blind detection processing device, computer equipment and a storage medium, which are used for reducing decoding times in the blind detection processing process, so that the calculation workload of a decoder is reduced.
In a first aspect, an embodiment of the present invention provides a blind detection processing method, including:
soft combining is carried out on the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combined set, and the number of soft bits in the soft bit combined set is matched with the target DCI length used for generating the soft bit set;
Traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics;
screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations;
and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH.
In a second aspect, an embodiment of the present invention further provides a blind detection processing apparatus, where the blind detection processing apparatus includes:
the soft bit combination union determining module is used for carrying out soft combination on the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combination union, and the number of soft bits in the soft bit combination set is matched with the target DCI length used for generating the soft bit set;
the soft bit combination acquisition module is used for traversing and acquiring a plurality of soft bit combinations in the soft bit combination set according to a soft bit combination mode determined by the coding characteristics of the convolutional codes;
the soft bit set screening module is used for screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations;
and the soft bit set input module is used for inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor implements the blind detection processing method according to any embodiment of the present invention when executing the computer program.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements a blind detection processing method according to any embodiment of the present invention.
According to the technical scheme provided by the embodiment of the invention, the soft bit set matched with the target PDCCH candidate set is subjected to soft combining to obtain a soft bit set union; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH. The technical scheme of the embodiment of the invention solves the problem of high computational complexity of the decoder in the blind detection process of the PDCCH, and realizes the great reduction of the workload of the decoder, the reduction of the computational complexity in the blind detection process and the reduction of the power consumption of the decoder.
Drawings
FIG. 1 is a flow chart of a blind detection processing method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of another blind detection processing method in the second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a blind detection processing device in a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof.
It should be further noted that, for convenience of description, only some, but not all of the matters related to the present invention are shown in the accompanying drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The terms first and second and the like in the description and in the claims and drawings of embodiments of the invention are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to the listed steps or elements but may include steps or elements not expressly listed.
For convenience of explanation, the complete PDCCH blind detection procedure in the prior art will be first described briefly.
As previously described, the PDCCH carries DCI, including resource allocation and other control information on one or more UEs. In LTE, uplink and downlink resource scheduling information (information of MCS, resource allocation, etc.) is carried by the PDCCH. In general, there may be a plurality of PDCCHs within one subframe. The UE needs to demodulate DCI in PDCCH first, and then can demodulate PDSCH belonging to itself (Physical Downlink Shared Channel ) of the UE on corresponding resource locations, including broadcast message, paging, data of the UE, etc. The UE generally does not know the number and size of CCEs (Channel Control Element, channel control elements) occupied by the current PDCCH, what DCI format (style) information is transmitted, and also does not know where the information is needed. However, the UE knows what information is currently expected by itself, and uses corresponding RNTI (Radio Network Tempory Identity, radio network temporary identifier) information for CRC check for different expected information, if the CRC (Cyclic Redundancy Check ) check is successful, the UE knows that this information is needed by itself, and can further know the corresponding DCI format and modulation scheme, thereby obtaining the required DCI content. This is the so-called PDCCH blind detection procedure.
The processing flow of the PDCCH transmitting end is as follows:
DCI and CRC information- > RNTI scrambling- > tail biting convolutional coding- > rate matching- > PDCCH multiplexing- > scrambling- > QPSK (Quadrature Phase Shift Keying ) modulation- > layer mapping and precoding- > mapping of resource blocks are generated.
Correspondingly, in the prior art, the method for receiving the PDCCH by the user is the inverse process of the transmission processing flow:
resource block mapping- > de-layer mapping- > precoding- > de-QPSK- > blind detection- > rate matching- > viterbi decoding- > CRC.
The blind detection procedure of the UE is described in detail as follows:
and step 1, calculating all PDCCH candidate set positions in a search space by utilizing the RNTI of the UE. The concept of search space limits the possible placement positions of PDCCHs in different formats, and reduces the complexity of blind detection of the UE. Each PDCCH of different formats corresponds to different search spaces, the LTE mainly comprises a cell public search space and a UE special search space, the corresponding relation between the number of candidate sets and the aggregation level is specified by a protocol, as shown in the following table 1
Table 1 PDCCH candidate set number list
L in Table 1 is the aggregation level (Aggregation Level) of the candidate set, M (L) A number of candidate sets with a aggregation level L in the corresponding search space. The DCI of the UE is carried by a certain PDCCH candidate set, and in order to obtain the DCI, the PDCCH candidate set carrying the DCI needs to be known, and the candidate set is uniquely determined by the starting CCE position and the aggregation level.
Location of starting CCE
Is calculated by the following formula:
wherein, the natural number subscript k is the subframe number,
the value of the continuous value m is as follows, for the position of the starting CCE with aggregation level L in the kth subframe: 0,1,2, …, M (L) -1，N CCE,k Is the number of CCEs available for transmission of PDCCH in the kth subframe.
For a common search space, an intermediate variable Y of the calculation process k =0; for UE-specific search space, then Y k ＝(A·Y k -1) mod d; wherein Y is -1 ＝n RNTI ≠0，A＝39827，D＝65537，n RNTI For the RNTI of the user UE, the symbol mod represents a modulo operation.
Each UE in each cell has a unique RNTI, and for a particular UE, the location of all PDCCH candidate sets may be calculated based on its RNTI, subframe number and CCE number.
Step 2: each PDCCH candidate set is decoded and verified by CRC as being the correct DCI. The UE can calculate the length of the required DCI according to the system configuration, then according to the known DCI length, perform rate-decoding matching and Viterbi decoding on each PDCCH candidate set, and perform CRC (cyclic redundancy check) decoding by using RNTI (radio network temporary identifier), if the check is correct, the decoding is correct, and the corresponding DCI content can be extracted.
The defects of the technical scheme are that: DCI for indicating UE resource allocation may be stored in a common search space or may be stored in a UE-specific search space. As can be seen from table 1, the number of all possible candidate sets is 22. However, for each transmission mode in the downlink, there are two possible DCI lengths, so a maximum of 44 codes are decoded. I.e., at most 44 times, the decoder has high computational complexity, and excessive decoding operations result in high power consumption.
Based on this, the inventor proposes to add a filtering module between the two operations of rate matching and viterbi decoding in the PDCCH blind detection process, that is, the blind detection process: the method comprises the steps of mapping a resource block, mapping a precoding, decoding QPSK, blind detection, rate matching, viterbi decoding, CRC decoding, adjusting the CRC decoding to the mapping of the resource block, the mapping of the precoding, decoding QPSK, blind detection, rate matching, filtering module, viterbi decoding, CRC decoding.
In the filtering module, a filtering check is mainly performed on the soft bit values after rate matching, so that the soft bit sets which are obviously impossible to carry DCI, or the soft bit sets which are obviously not provided with DCI coding features are filtered, namely, some soft bit sets are selected not to be input into a decoder for decoding, so that the decoding times in the PDCCH blind detection process are reduced. In the embodiments of the present invention, a filtering method implemented by the above filtering model is mainly described.
Example 1
Fig. 1 is a flowchart of a blind detection processing method according to a first embodiment of the present invention. The embodiment is applicable to the case of blind detection processing, and is particularly applicable to the case of performing one-time screening on the soft bit set finally input to the decoder before the soft bit set after the speed matching is input to the decoder. The method of this embodiment may be performed by a blind detection processing device, which may be implemented in software and/or hardware, where the device may be configured in a terminal device, typically a mobile terminal device.
Correspondingly, the method specifically comprises the following steps:
s110, soft combining is carried out on the soft bit set matched with the target PDCCH candidate set, and a soft bit combination set is obtained.
Wherein the number of soft bits in the soft bit combining set matches the target DCI length used to generate the soft bit set.
In this embodiment, the soft bit set is obtained by performing speed matching on the demodulation result of the target PDCCH candidate set. The target DCI length specifically refers to the number of bits included in DCI that the UE desires to acquire, that is, the data length of the DCI that the UE desires to acquire after decoding by the decoder. Further, when generating a corresponding soft bit set by rate matching each PDCCH candidate set, a known target DCI length needs to be used in combination.
In other words, the target DCI length is the DCI length that the decoder is expected to ultimately output. After the target DCI is predetermined, the length of the coded DCI included in the soft bit set before entering the decoder, that is, the coded DCI length, used to generate the decoded DCI may be determined accordingly.
Accordingly, after the target DCI length is determined, the encoded DCI length is also uniquely determined, and thus a soft bit union set having the number of soft bits consistent with the encoded DCI length may be generated. To ensure that all information of DCI required for decoding is contained in the soft bit combining set.
The soft bit combination union is to obtain a new combination set by soft combining the obtained soft bit set.
In an optional implementation manner of this embodiment, the soft bit set may be divided into one or more soft bit subsets according to the length of the encoded DCI, and then the soft bit set union may be obtained by combining bit values at the same bit position in the one or more soft bit subsets.
In this embodiment, during the blind detection process, the mobile terminal first obtains the target PDCCH candidate set, and then performs decoding operation on the target PDCCH candidate set and then performs speed matching, so as to obtain a corresponding soft bit set. Further, soft combining is performed on the obtained soft bit set, and a soft bit combined set can be obtained. Specifically, the soft bit set has a set number of soft bit values, each soft bit value corresponding to a sample value at a sample time. The number of soft bit values included in one soft bit set is related to the aggregation level of the target PDCCH candidate set.
S120, traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the coding characteristics of the convolutional codes.
As described above, the PDCCH transmitting end performs convolutional encoding on the DCI, and when the convolutional encoding result includes an effectively encoded DCI, the soft bit combining set that matches the target DCI length is obtained after decoding the target PDCCH candidate set, where the arrangement mode of each soft bit is required to conform to the encoding feature of the convolutional code. Typically, the inventors found by analyzing the results of each convolutional code in a large number: in the convolutional coding result corresponding to the DCI of the effective coding, the bit values of the 8 soft bits arranged according to the fixed ordering are all 0.
Accordingly, in the soft bit combining set carrying all DCI information, all possible bit values of the 8 soft bits may be first traversed, i.e. a plurality of soft bit combinations may be traversed in the soft bit combining set in a soft bit combining manner determined by the convolutional code coding feature.
Further, by statistically analyzing the numerical characteristics of each bit value in each soft bit combination, for example, each bit value is relatively small, it is possible to predict from a probabilistic standpoint whether or not there is one valid coded DCI in the soft bit set.
As described above, by analyzing the coding characteristics of the convolutional code, it can be determined that a soft bit combination set carrying DCI with valid codes, and according to what soft bit combination mode, the obtained soft bit combination will exhibit some special values or values change rules.
The soft bit combination may be a combination formed by selecting a plurality of soft bit values according to a certain rule in the soft bit combination set. Wherein one soft bit combining set contains a plurality of soft bit values. In different soft bit combinations, the arrangement order of adjacent soft bits in the original soft bit combination set is fixed.
Optionally, traversing the soft bit combining set to obtain a plurality of soft bit combinations in a soft bit combining order determined by the convolutional code coding feature, including:
splitting the soft bit merging set into a plurality of soft bit merging subsets which are connected in sequence; and traversing in the first soft bit combination subset to obtain a plurality of starting bit positions, and respectively obtaining soft bit combinations corresponding to each starting bit position in each soft bit combination subset according to the soft bit combination sequence.
The soft bit combining subset may be a plurality of combining subsets obtained by splitting the soft bit combining set. For example, assuming that a soft bit combining subset contains a soft bit values, it can be sequentially split into a soft bit combining subset 1 having a soft bit values, a soft bit combining subset 2 having b soft bit values, and a soft bit combining subset 3 having c soft bit values. Wherein the sum of a, b and c is A, wherein the values of a, b and c can be the same or different, and the method is not limited herein.
Specifically, the soft bit combining order may be a combining order in which the positions of the remaining other bits can be determined when the starting bit position is determined. In the previous example, since the soft bit combining subset can be divided into soft bit combining subset 1, soft bit combining subset 2 and soft bit combining subset 3. And traversing in the soft bit merging subset 1 to obtain a plurality of starting bit positions, and respectively obtaining soft bit combinations corresponding to each starting bit position in the soft bit merging subset 1, the soft bit merging subset 2 and the soft bit merging subset 3 according to the soft bit combination sequence. Specifically, the soft bit combination mode determined by the convolutional code coding feature is determined by statistical analysis as follows: the i+1th soft bit, the i+mth soft bit, the i+m+2th soft bit, the i+m+3th soft bit, the i+2m th soft bit, the i+2m+1th soft bit, the i+2m+2th soft bit, and the i+2m+3 th soft bit.
Further, let m=6, soft bit combining subset 1 be {0.8,1.3,1.1,0.5,2.5,1.7}, soft bit combining subset 2 be {0.9,2.3,1.6,1.4,0.8,3.2}, soft bit combining subset 3 be {2.1,1.5,0.7,1.5,3.5,1.8}. Assuming that the soft bit value corresponding to the first starting bit position is 1.3 in the soft bit combination subset 1, according to the soft bit combination sequence, the i+m soft bit, the i+m+2 soft bit and the i+m+3 soft bit can be located in the soft bit combination subset 2, 0.9,1.6 and 1.4 are selected, the i+2m soft bit, the i+2m+1 soft bit, the i+2m+2 soft bit and the i+2m+3 soft bit are located in the soft bit combination subset 3, 2.1,1.5,0.7 and 1.5 are selected, and according to the selected soft bit values, the corresponding soft bit combination {1.3,0.9,1.6,1.4,2.1,1.5,0.7,1.5} can be obtained.
S130, screening soft bit sets meeting reasonable DCI coding conditions according to numerical characteristics of a plurality of soft bit combinations.
The numerical characteristic may refer to a bit value of each soft bit in the soft bit combination, or a trend of a change of a magnitude relation between addition of bit values of each soft bit in the soft bit combination and the target first threshold.
It will be appreciated that if a set of soft bits to be input to the decoder contains a valid coded DCI, then the majority of the soft bit combinations obtained using the soft bit set traversal should have the same numerical characteristics.
Reasonable DCI coding conditions can be understood as: the bit values of each soft bit in the soft bit set comprising the effectively encoded DCI are correlated to obtain a plurality of soft bit combinations, and one quantifiable judgment condition is required to be met.
In the previous example, in the convolution coding result corresponding to the DCI of the effective coding, the bit values of the 8 soft bits arranged according to the fixed order are all 0, considering the influence of channel noise, if one soft bit set really has the DCI of the effective coding, after the accumulated summation of the bit values in each soft bit combination corresponding to the soft bit set, the accumulated result should not be very large, further, the accumulated summation result of each soft bit combination is compared with a preset threshold value a, and if the accumulated summation result of the currently processed soft bit combination does not exceed the threshold value a, it can be determined that the soft bit combination meets the bit value characteristics of the 8 soft bits.
Meanwhile, in order to reduce the influence of the local interference, it is necessary to further count the number of soft bit combinations that do not exceed the threshold value a, and if the number is larger, it is indicated that more soft bit combinations conform to the above bit value characteristics, and further, it is indicated that the probability that the soft bit set contains DCI of valid codes is also higher. Furthermore, the number value can be compared with a preset threshold value B, if the number value exceeds the threshold value B, the soft bit set can be determined to have a certain probability of containing DCI of effective codes, and then the soft bit set can be input to a decoder for further judgment; if the number value does not exceed the threshold value B, it may be determined that the probability that the soft bit set contains the DCI of valid codes is low, and then the soft bit set may not be input to the decoder any more, so as to improve the blind detection efficiency of the PDCCH.
Accordingly, the reasonable DCI encoding condition may be a numerical size decision condition based on the set target first threshold and target second threshold.
Optionally, screening the soft bit set satisfying the reasonable DCI coding condition according to the numerical characteristics of the plurality of soft bit combinations may include: correspondingly adding the bit values in each soft bit combination, and counting the quantity value of the soft bit combinations of which the addition result exceeds a target first threshold value; if the number value exceeds the target second threshold, it is determined that a reasonable DCI encoding condition is satisfied.
The target first threshold may be a threshold value set by statistical calculation in advance, and is used for comparing with a value obtained by adding each bit value in each soft bit combination. The target second threshold may be a threshold for determining the magnitude of the number of soft bit combinations that exceed the target first threshold.
In this embodiment, after corresponding addition is performed on each bit value in each soft bit combination, the number value of the soft bit combinations whose addition result exceeds the target first threshold is counted, and the magnitude relation between the number value and the target second threshold, that is, the magnitude relation between the quantized feature value and the target second threshold is compared. If the quantized feature value is greater than the target second threshold, it may be determined that the soft bit set satisfies a reasonable DCI encoding condition, that is, the soft bit set contains actively encoded DCI; if the quantized feature value is less than or equal to the target second threshold, it may be determined that the set of soft bits does not satisfy the reasonable DCI encoding conditions, the set of soft bits not including validly encoded DCI.
In addition, before the corresponding addition of the bit values in each soft bit combination, normalization processing may be performed on the bit values in each soft bit combination, which is set for the reason that erroneous discrimination caused by that the bit values in one or more soft bit combinations are too large due to interference of local noise is prevented.
Exemplary, assume that the ith soft bit in soft bit combined subset 1 is B 0 (i) The ith soft bit in soft bit combined subset 2 is B 1 (i) And the ith soft bit in soft bit combined subset 3 is B 2 (i) Normalization of each soft bit in the 3 soft bit combining subsets is required, specifically, by
And->
To perform normalization processing.
And S140, inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH.
In this embodiment, when it is determined that the reasonable DCI encoding conditions are not satisfied, the probability that the soft bit set includes the DCI of the valid code may be considered to be very low, and the soft bit set does not conform to the DCI encoding rule, so that the soft bit set may be directly discarded, so as to avoid the decoder from performing an invalid decoding operation. When it is determined that the reasonable DCI coding conditions are satisfied, it may be considered that the soft bit set has a certain probability of containing the DCI that is effectively coded, and the soft bit set conforms to the DCI coding rule to a certain extent. Furthermore, the soft bit set may be input to a decoder for decoding, so as to accurately determine whether the soft bit set includes DCI.
According to the technical scheme provided by the embodiment of the invention, the soft bit set matched with the target PDCCH candidate set is subjected to soft combining to obtain a soft bit set union; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH. The technical scheme of the embodiment of the invention solves the problem of high computational complexity of the decoder in the blind detection process of the PDCCH, and realizes the great reduction of the workload of the decoder, the reduction of the computational complexity in the blind detection process and the reduction of the power consumption of the decoder.
Example two
Fig. 2 is a flowchart of another blind detection processing method in the second embodiment of the present invention. The present embodiment refines based on each embodiment, and in this embodiment, soft combining is performed on the soft bit set that will match the target PDCCH candidate set, so as to further refine the soft bit set union.
Correspondingly, the embodiment of the invention specifically comprises the following operations:
s210, calculating the coding DCI length according to the target DCI length used for generating the soft bit set.
The encoded DCI length may be an encoded data length (number of encoded bits) of the target DCI length before decoding by the decoder. Specifically, assuming that the target DCI Length is 10, the encoded DCI Length is calculated according to the encoded DCI Length calculation formula n=3 (dci_length+16), where dci_length is the target DCI Length and N is the encoded DCI Length, N may be calculated as 78.
S220, dividing the soft bit set into at least one soft bit subset by taking the coding DCI length as a dividing unit.
Wherein the soft bit subset may be a plurality of subsets divided by the soft bit set according to the length of the encoded DCI.
In an optional embodiment of the present invention, the code DCI length is taken as a dividing unit, if the number of soft bits included in the soft bit set is greater than the code DCI length, a plurality of soft bit subsets may be divided, and if the number of soft bits included in the soft bit set is less than the code DCI length, only one soft bit subset may be divided.
For example, assuming that the total number of soft bits in the soft bit set is 65, the encoded DCI length is 25, it may be determined that the total number of soft bits is greater than the encoded DCI length, so that the number of soft bits in the encoded DCI length before the soft bit set is extracted to form one soft bit subset 1, the total number of soft bits in the soft bit subset 1 is 25, and the total number of soft bits in the remaining soft bit set is 40. Next, the coded DCI length soft bits in the remaining soft bit set are continuously extracted from the total number of soft bits in the remaining soft bit set to form a soft bit subset 2, and the total number of soft bits in the soft bit subset 2 is 25, and the total number of soft bits in the remaining soft bit set is 15. Accordingly, when the total number of soft bits in the remaining soft bit set is 15, the total number of soft bits in the detected soft bit set does not exceed the coded DCI length, and then all soft bits in the soft bit set are used to form a soft bit subset 3. In summary, the soft bit set is divided into 3 soft bit subsets, which are respectively: soft bit subset 1 with total number of soft bits 25, soft bit subset 2 with total number of soft bits 25, and soft bit subset 3 with total number of soft bits 15.
In an alternative embodiment of the present invention, assuming that the total number of soft bits in the soft bit set is 20 and the encoded DCI length is 25, it may be determined that the total number of soft bits is smaller than the encoded DCI length, and thus a unique soft bit subset 1 may be formed and the total number of soft bits of the soft bit subset 1 is 20.
S230, judging whether the number of the soft bit subsets is unique: if yes, executing S240; otherwise, S250 is performed.
S240, performing last bit filling processing on the soft bit subset to obtain the soft bit combination set, and executing S260.
Wherein, the end padding process may be an operation of zero padding the soft bit subset, so that the total number of soft bits in the soft bit subset is consistent with the coded DCI length.
In the previous example, since the total number of soft bits in the soft bit set is 20 and the encoded DCI length is 25, a soft bit subset 1 with a total number of soft bits of 20 can be generated, and since the total number of soft bits in the soft bit subset 1 is smaller than the encoded DCI length, it is necessary to perform last bit padding processing, that is, padding 5 zeros at the end of the soft bit subset 1 with a total number of soft bits of 20, so that the total number of soft bits in the soft bit subset is consistent with the encoded DCI length.
S250, if the number of the soft bit subsets is not unique, correspondingly adding bit values of the same bit positions in each soft bit subset to obtain the soft bit combination union, and executing S260.
For example, assuming that the total number of soft bits in the soft bit set is 65, and the encoded DCI length is 25, the soft bit set may be divided into 3 soft bit subsets, which are respectively: soft bit subset 1 with total number of soft bits 25, soft bit subset 2 with total number of soft bits 25, and soft bit subset 3 with total number of soft bits 15. The same bit positions of soft bit subset 1, soft bit subset 2 and soft bit subset 3 need to be added to obtain a corresponding soft bit set union.
In addition, since the total number of soft bits of the soft bit subset 3 is 15, it may also be subjected to the last padding process, that is, the last padding with 10 zeros, and then the addition process with the soft bit subset 1 and the soft bit subset 2.
S260, traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics.
In an alternative implementation of this embodiment, the soft bit combination determined by the convolutional code coding feature is determined by statistical analysis as:
i+1th soft bit, i+ (dci_length+16) th soft bit, i+ (dci_length+16) +2th soft bit, i+ (dci_length+16) +3 th soft bit, i+2th (dci_length+16) +1 soft bit, i+2th (dci_length+16) +2 soft bit, and i+2th (dci_length+16) +3 soft bit.
Further, after the bit positions of the ith bit are determined, the bit positions of all 8 soft bits in the soft bit combinations are determined to finally obtain a plurality of soft bit combinations
As described above, the soft bit combining set includes m=3 (dci_length+16) soft bits in total. To facilitate subsequent computation, the soft bit combining set may be divided into three sequentially connected soft bit combining subsets, for example: b (B) 0 (i)，B 1 (i) And B 2 (i)。
Before this, it is necessary to make the pair B 0 (i)、B 1 (i) And B 2 (i) Normalization is carried out, specifically by
And->
To perform normalization processing.
Wherein B is 0 (i) The DCI_Length+16 soft bits before the soft bit combination are stored in the memory, B 1 (i) The intermediate DCI_Length+16 soft bits of the soft bit combination set are stored in the memory, B 2 (i) The last dci_length+16 soft bits in the soft bit set are stored. B (B) 0 (i) And B 1 (i) Soft bits of the same position in the soft bit combining setPhase difference (DCI_Length+16), B 0 (i) And B 2 (i) The same-located soft bits in the soft bit combining set differ by 2 (dci_length+16).
Accordingly, a traversal start point j may be set, which is initialized to 1. Then, setting a loop to execute the operation:
namely: traversing the traversal start j from 1 to (DCI_Length+16) -4, and for each j, at B above 0 (i)，B 1 (i) And B 2 (i) Is selected from the following steps: b (B) 0 (i+1)、B 1 (i)、B 1 (i+2)、B 1 (i+3)、B 2 (i)、B 2 (i+1)、B 2 (i+2) and B 2 (i+3) as a soft bit combination to obtain the plurality of soft bit combinations.
S270, screening soft bit sets meeting reasonable DCI coding conditions according to numerical characteristics of a plurality of soft bit combinations.
In the previous example, the sum of the bit values in each soft bit combination can be calculated according to the obtained soft bit combination as follows: c (i) =b 0 (i+1)+B 1 (i)+B 1 (i+2)+B 1 (i+3)+B 2 (i)+B 2 (i+1)+B 2 (i+2)+B 2 And (i+3), judging the magnitude relation between C (i) and the first threshold, and if C (i) is larger than the first threshold, adding 1 to the number value (the initial number value is 0).
Accordingly, after each soft bit combination is compared, the magnitude relation between the number value and the second threshold is judged, if the number value is greater than the second threshold, it may be determined that the reasonable DCI encoding condition is satisfied, and if the number value is less than or equal to the second threshold, it may be determined that the reasonable DCI encoding condition is not satisfied.
S280, inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH.
According to the technical scheme provided by the embodiment of the invention, the coding DCI length is calculated according to the target DCI length; dividing the soft bit set into at least one soft bit subset by taking the coded DCI length as a dividing unit; if the number of the soft bit subsets is unique and the number of the soft bits included in the soft bit subsets is smaller than the length of the coded DCI, performing last bit filling processing on the soft bit subsets to obtain the soft bit set union; if the number of the soft bit subsets is not unique, correspondingly adding bit values of the same bit positions in each soft bit subset to obtain the soft bit combination union; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH. The soft bit combination union set is determined more accurately, the workload of the decoder is greatly reduced, the computational complexity in the blind detection processing process is reduced, and the decoding reliability of the decoder is improved.
Based on the above embodiments, before screening the soft bit set that meets the reasonable DCI coding conditions according to the numerical characteristics of the plurality of soft bit combinations, the method may further include: acquiring a target first threshold and a target second threshold from a reasonable coding threshold set according to the target aggregation level of the target PDCCH candidate set and the target DCI length; and the reasonable coding threshold set stores a combination corresponding relation between the combination of the aggregation level and the DCI length and the combination of the first threshold and the second threshold.
Wherein the aggregation level may be that one PDCCH is n consecutive CCEs. The PDCCH may have a variety of aggregation levels, and assuming there are 5 aggregation levels, it may be: {1,2,4,8, 16}. If the aggregation level is 16, it means that one PDCCH is 16 consecutive CCEs. The reasonable coding threshold set comprises a plurality of reasonable coding threshold pairs and corresponding relations between the matched aggregation level and DCI length, wherein the reasonable coding threshold pairs can be a target first threshold and a target second threshold, namely the corresponding relations between the first threshold and the second threshold and the combination of the aggregation level and the DCI length. Accordingly, after acquiring the aggregation level of the target PDCCH candidate set and the target DCI length, a target first threshold and a target second threshold that are matched may be acquired by querying the set of reasonable coding thresholds.
The advantages of this arrangement are that: and according to the target aggregation level of the target PDCCH candidate set and the target DCI length, acquiring a target first threshold and a target second threshold in a reasonable coding threshold set, and comparing the numerical characteristics of a plurality of soft bit combinations corresponding to the soft bit set with the target first threshold and the target second threshold to determine whether the reasonable DCI coding condition is met. The first threshold and the second threshold determined in this way can be judged more accurately, so that the soft bit set which does not meet the reasonable DCI coding condition can be accurately discarded.
Optionally, before soft combining the soft bit set matched with the target PDCCH candidate set, the method further includes: extracting a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length according to the sending end signals of a plurality of signal to noise ratios; calculating a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length, and screening success rates under the combination of different first thresholds and second thresholds; and forming a reasonable coding threshold set according to the combination of the first threshold and the second threshold of the maximum screening success rate under the combination of each aggregation level and the DCI length.
The screening success rate may be a probability that a soft bit set including DCI can be accurately input to a decoder.
For example, assuming that there are 100 sets of analog PDCCH candidates, the signal-to-noise ratio of the transmitting signal may be 3dB, 5dB, and 10dB, respectively. The aggregation level may have 5 aggregation levels: {1,2,4,8, 16}, DCI length has two types of lengths, 16 and 24. Assuming that for each combination of aggregation level and DCI length, the first and second thresholds each have 3 selectable values, a respectively 1 And b 1 、a 2 And b 2 A) 3 And b 3 Each selectable value may be considered a combination of a first threshold and a second threshold. With the above arrangement, a total of 100×3×5×2×3=9000 calculation statistics are required.
Specifically, at a signal-to-noise ratio of 3dB. Under the conditions that the aggregation level is 16 and the DCI length is 24 under the transmitting end signals with three different signal-to-noise ratios of 5dB and 10dB, 300 groups of analog PDCCH candidate sets are respectively extracted. Wherein when the first threshold value and the second threshold value are respectively a 1 And b 1 The screening success rate can be calculated to be 75%. When the first threshold value and the second threshold value are respectively a 2 And b 2 The screening success rate can be calculated to be 65%. When the first threshold value and the second threshold value are respectively a 3 And b 3 The screening success rate can be calculated to be 85%. Since the screening success rate corresponding to the third combination is the largest, it can be determined that the corresponding first threshold and second threshold are a respectively in the case that the aggregation level is 16 and the dci length is 24 3 And b 3 。
Similarly, a first threshold and a second threshold corresponding to different aggregation levels and DCI lengths may be calculated, so that a reasonable coding threshold set may be formed.
The advantages of this arrangement are that: extracting a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length through the transmitting end signals aiming at a plurality of signal-to-noise ratios; calculating a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length, and screening success rates under the combination of different first thresholds and second thresholds; and forming a reasonable coding threshold set according to the combination of the first threshold and the second threshold of the maximum screening success rate under the combination of each aggregation level and the DCI length. Therefore, the obtained reasonable coding threshold value set is more accurate, and whether the soft bit set meets reasonable coding conditions is judged more accurately, so that the soft bit set which does not meet coding rules can be reduced and sent to a decoder for decoding, and the workload of the decoder can be greatly reduced.
Example III
Fig. 3 is a schematic structural diagram of a blind detection processing device provided in a third embodiment of the present invention, where the blind detection processing device provided in the present embodiment may be implemented by software and/or hardware, and may be configured in a terminal device to implement a blind detection processing method in the embodiment of the present invention. As shown in fig. 3, the apparatus may specifically include: a soft bit set union determination module 310, a soft bit combination acquisition module 320, a soft bit set screening module 330, and a soft bit set input module 340.
The soft bit combination union determining module 310 is configured to perform soft combining on a soft bit set matched with the target PDCCH candidate set to obtain a soft bit combination union, where the number of soft bits in the soft bit combination set is matched with the target DCI length used for generating the soft bit set;
a soft bit combination obtaining module 320, configured to obtain a plurality of soft bit combinations by traversing the soft bit combination set according to a soft bit combination manner determined by the coding feature of the convolutional code;
a soft bit set screening module 330, configured to screen a soft bit set that meets a reasonable DCI coding condition according to a numerical characteristic of a plurality of soft bit combinations;
the soft bit set input module 340 is configured to input a soft bit set that meets a reasonable DCI encoding condition to a decoder, so as to reduce decoding times of the decoder in a PDCCH blind detection process.
According to the technical scheme provided by the embodiment of the invention, the soft bit set matched with the target PDCCH candidate set is subjected to soft combining to obtain a soft bit set union; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH. The technical scheme of the embodiment of the invention solves the problem of high computational complexity of the decoder in the blind detection process of the PDCCH, and realizes the great reduction of the workload of the decoder, the reduction of the computational complexity in the blind detection process and the reduction of the power consumption of the decoder.
Based on the foregoing embodiments, the soft bit combination union determination module 310 may specifically include: a soft bit subset dividing unit, configured to divide the soft bit set into at least one soft bit subset according to a target DCI length used for generating the soft bit set; and the soft bit merging set determining unit is used for carrying out soft merging on the at least one soft bit subset to obtain a soft bit merging set.
On the basis of the above embodiments, the soft bit subset dividing unit may be specifically used for: calculating the coding DCI length according to the target DCI length; and dividing the soft bit set into at least one soft bit subset by taking the coded DCI length as a dividing unit.
On the basis of the above embodiments, the soft bit combination union determining unit may be specifically configured to: if the number of the soft bit subsets is unique and the number of the soft bits included in the soft bit subsets is smaller than the length of the coded DCI, performing last bit filling processing on the soft bit subsets to obtain the soft bit set union; and if the number of the soft bit subsets is not unique, correspondingly adding bit values of the same bit positions in each soft bit subset to obtain the soft bit combination union.
Based on the above embodiments, the soft bit combination obtaining module 320 may be specifically configured to: splitting the soft bit merging set into a plurality of soft bit merging subsets which are connected in sequence; and traversing in the first soft bit combination subset to obtain a plurality of starting bit positions, and respectively obtaining soft bit combinations corresponding to each starting bit position in each soft bit combination subset according to the soft bit combination sequence.
Based on the above embodiments, the soft bit set screening module 330 may be specifically configured to: correspondingly adding the bit values in each soft bit combination, and counting the quantity value of the soft bit combinations of which the addition result exceeds a target first threshold value; if the number value exceeds the target second threshold, it is determined that a reasonable DCI encoding condition is satisfied.
Based on the above embodiments, the target threshold obtaining module may be specifically configured to: before screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations, acquiring a target first threshold and a target second threshold in a reasonable coding threshold set according to the target aggregation level of the target PDCCH candidate set and the target DCI length; and the reasonable coding threshold set stores a combination corresponding relation between the combination of the aggregation level and the DCI length and the combination of the first threshold and the second threshold.
Based on the above embodiments, the reasonable coding threshold set determining module may be specifically configured to: before soft combining the soft bit set matched with the target PDCCH candidate set, extracting a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length respectively aiming at the transmitting end signals of a plurality of signal to noise ratios; calculating a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length, and screening success rates under the combination of different first thresholds and second thresholds; and forming a reasonable coding threshold set according to the combination of the first threshold and the second threshold of the maximum screening success rate under the combination of each aggregation level and the DCI length.
The blind detection processing device can execute the blind detection processing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. As shown in fig. 4, the apparatus includes a CPU core 410, a memory 420, an input device 430, and an output device 440; the number of CPU cores 410 in the device may be plural, and plural CPU cores 410 are exemplified in fig. 4; the CPU core 410, memory 420, input means 430 and output means 440 in the device may be connected by a bus or other means, in fig. 4 by way of example.
The memory 420 is used as a computer readable storage medium for storing software programs, computer executable programs, and modules, such as program instructions/modules (e.g., the soft bit set union determination module 310, the soft bit combination acquisition module 320, the soft bit set screening module 330, and the soft bit set input module 340) corresponding to the blind detection processing method in the embodiment of the present invention. The CPU core 410 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 420, that is, implements the blind detection processing method described above, and includes:
Soft combining is carried out on the soft bit set matched with the target PDCCH candidate set, so that a soft bit combined set is obtained; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH.
The input means 430 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output 440 may include a display device such as a display screen.
Example five
A fifth embodiment of the present invention also provides a computer-readable storage medium containing computer-readable instructions, which when executed by a computer processor, is configured to perform a blind detection processing method, the method comprising: soft combining is carried out on the soft bit set matched with the target PDCCH candidate set, so that a soft bit combined set is obtained; traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics; screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations; and inputting the soft bit set meeting the reasonable DCI coding condition to a decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH.
Of course, the embodiment of the present invention provides a computer-readable storage medium, where the computer-executable instructions are not limited to the method operations described above, but may also perform the related operations in the blind detection processing method provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the blind detection processing apparatus, each unit and module included are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A blind detection processing method, comprising:
soft combining is carried out on a soft bit set matched with a target physical downlink control channel PDCCH candidate set to obtain a soft bit combined set, and the number of soft bits in the soft bit combined set is matched with the target DCI length used for generating the soft bit set;
traversing in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by the convolutional code coding characteristics;
screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations;
Inputting a soft bit set meeting reasonable DCI coding conditions to a decoder so as to reduce decoding times of the decoder in a PDCCH blind detection process;
wherein, according to the numerical characteristics of a plurality of soft bit combinations, screening soft bit sets meeting reasonable DCI coding conditions includes:
correspondingly adding the bit values in each soft bit combination, and counting the quantity value of the soft bit combinations of which the addition result exceeds a target first threshold value;
if the number value exceeds the target second threshold, it is determined that a reasonable DCI encoding condition is satisfied.
2. The method of claim 1, wherein soft combining the set of soft bits matching the target PDCCH candidate set to obtain a soft bit set union comprises:
dividing the soft bit set into at least one soft bit subset according to a target DCI length used for generating the soft bit set;
and carrying out soft combining on the at least one soft bit subset to obtain a soft bit combination set.
3. The method of claim 2, wherein dividing the set of soft bits into at least one subset of soft bits according to a target DCI length used to generate the set of soft bits comprises:
Calculating the coding DCI length according to the target DCI length;
and dividing the soft bit set into at least one soft bit subset by taking the coded DCI length as a dividing unit.
4. A method according to claim 3, wherein soft combining the at least one soft bit subset to obtain a soft bit set union comprises:
if the number of the soft bit subsets is unique and the number of the soft bits included in the soft bit subsets is smaller than the length of the coded DCI, performing last bit filling processing on the soft bit subsets to obtain the soft bit set union;
and if the number of the soft bit subsets is not unique, correspondingly adding bit values of the same bit positions in each soft bit subset to obtain the soft bit combination union.
5. The method of claim 1 wherein traversing the soft bit combining set to obtain a plurality of soft bit combinations in a soft bit combining order determined by a convolutional code coding feature comprises:
splitting the soft bit merging set into a plurality of soft bit merging subsets which are connected in sequence;
and traversing in the first soft bit combination subset to obtain a plurality of starting bit positions, and respectively obtaining soft bit combinations corresponding to each starting bit position in each soft bit combination subset according to the soft bit combination sequence.
6. The method of claim 1, further comprising, prior to screening the set of soft bits that meet reasonable DCI coding conditions based on the numerical characteristics of the plurality of soft bit combinations:
acquiring a target first threshold and a target second threshold from a reasonable coding threshold set according to the target aggregation level of the target PDCCH candidate set and the target DCI length;
and the reasonable coding threshold set stores a combination corresponding relation between the combination of the aggregation level and the DCI length and the combination of the first threshold and the second threshold.
7. The method of claim 6, further comprising, prior to soft combining the set of soft bits matching the target PDCCH candidate set:
extracting a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length according to the sending end signals of a plurality of signal to noise ratios;
calculating a plurality of simulated PDCCH candidate sets under the combination of each aggregation level and DCI length, and screening success rates under the combination of different first thresholds and second thresholds;
and forming a reasonable coding threshold set according to the combination of the first threshold and the second threshold of the maximum screening success rate under the combination of each aggregation level and the DCI length.
8. A blind detection processing apparatus, comprising:
the soft bit combination union determining module is used for carrying out soft combination on a soft bit set matched with the target physical downlink control channel PDCCH candidate set to obtain a soft bit combination union, wherein the number of soft bits in the soft bit combination union is matched with the target DCI length used for generating the soft bit set;
the soft bit combination acquisition module is used for traversing and acquiring a plurality of soft bit combinations in the soft bit combination set according to a soft bit combination mode determined by the coding characteristics of the convolutional codes;
the soft bit set screening module is used for screening soft bit sets meeting reasonable DCI coding conditions according to the numerical characteristics of a plurality of soft bit combinations;
the soft bit set input module is used for inputting the soft bit set meeting the reasonable DCI coding condition to the decoder so as to reduce the decoding times of the decoder in the blind detection process of the PDCCH;
wherein, soft bit set screening module includes:
correspondingly adding the bit values in each soft bit combination, and counting the quantity value of the soft bit combinations of which the addition result exceeds a target first threshold value;
if the number value exceeds the target second threshold, it is determined that a reasonable DCI encoding condition is satisfied.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the blind detection processing method according to any one of claims 1-7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the blind detection processing method according to any one of claims 1-7.
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