CN115173996A - 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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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The embodiment of the invention discloses a blind detection processing method and device, computer equipment and a storage medium. The method comprises the following steps: performing soft combination on the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combination 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 encoding characteristics of the convolutional codes; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process. The technical scheme of the embodiment of the invention solves the problem of high calculation 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 calculation complexity in the blind detection processing process and the reduction of the power consumption of the decoder.
Description
Technical Field
The present invention relates to wireless communication technologies, and in particular, to a blind detection processing method and apparatus, a computer device, 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, capacity increases each time a new base station is established, since the same spectrum can be reused several times in a given area. The basic principle of cellular is to divide the coverage area into a number of connected small areas, each using its own radio base station. Channels are allocated to these small areas in an intelligent manner, which reduces interference and provides sufficient performance to satisfy the traffic in these areas. A base station in a wireless cellular system carries DCI (Downlink Control Information) using a PDCCH (Physical Downlink Control Channel). The UE (User Equipment) obtains the needed DCI by decoding the PDCCH, and obtains resource allocation information.
In the prior art, the UE mainly obtains DCI in a blind detection manner, and the specific blind detection manner is as follows: in the search space, after the positions of all PDCCH candidate sets are calculated according to a plurality of possible DCI aggregation levels, each extracted PDCCH candidate set is decoded, whether the decoding result contains correct DCI or not is verified, and the DCI in the PDCCH is finally detected in a blind mode.
In the process of implementing the invention, the inventor finds that the prior art has the following defects: the DCI for indicating the UE resource allocation information may be stored in the common search space, or may be stored in the UE-dedicated storage space, and then, in combination with the DCI aggregation level, the number of PDCCH candidate sets that need to be decoded is very large, and in consideration of different transmission modes, 2 possible DCI lengths may be provided, and the final decoding times may be doubled again. Furthermore, in the process of one-time PDCCH blind detection, the decoder needs to perform decoding operations for multiple times, and the decoder has high computational complexity, thereby causing excessively high decoding power consumption.
Disclosure of Invention
The embodiment of the invention provides a blind detection processing method and device, computer equipment and a storage medium, which are used for reducing the decoding times in the blind detection processing process so as to reduce the calculation workload of a decoder.
In a first aspect, an embodiment of the present invention provides a blind detection processing method, where the blind detection processing method includes:
performing soft combining on the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combined set, wherein the number of soft bits in the soft bit combined set is matched with the length of target DCI 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 encoding characteristics of the convolutional codes;
screening a soft bit set 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 into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
In a second aspect, an embodiment of the present invention further provides a blind detection processing apparatus, where the blind detection processing apparatus includes:
a soft bit combination set determining module, configured to perform soft combination on the soft bit sets matched with the target PDCCH candidate set to obtain a soft bit combination set, where the number of soft bits in the soft bit combination set matches a target DCI length used to generate the soft bit set;
a soft bit combination obtaining module, configured to traverse in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by convolutional code coding characteristics;
the soft bit set screening module is used for screening a soft bit set meeting the reasonable DCI coding condition 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 conditions to the decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable 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 storage medium readable by a computer, and having a computer program stored thereon, where the computer program is executed by a processor to implement the blind detection processing method according to any embodiment of the present invention.
According to the technical scheme provided by the embodiment of the invention, a soft bit set matched with a target PDCCH candidate set is subjected to soft combination to obtain a soft bit combination set; traversing in the soft bit combination set according to a soft bit combination mode determined by the coding characteristics of the convolutional codes to obtain a plurality of soft bit combinations; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process. The technical scheme of the embodiment of the invention solves the problem of high calculation 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 calculation complexity in the blind detection processing process and the reduction of the power consumption of the decoder.
Drawings
Fig. 1 is a flowchart of a blind detection processing method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of another blind detection processing method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a blind detection processing apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail 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 of the invention.
It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The terms "first" and "second," and the like in the description and claims of embodiments of the invention and in the drawings, are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not set forth for a listed step or element but may include steps or elements not listed.
For the convenience of description hereinafter, the complete PDCCH blind detection process in the prior art will be briefly described first.
As mentioned above, the PDCCH carries DCI, which includes resource allocation and other control information for one or more UEs. In LTE, uplink and downlink Resource scheduling information (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 the PDCCH first, and then can demodulate PDSCH (Physical Downlink Shared Channel) belonging to the UE on a corresponding resource location, including broadcast message, paging, data of the UE, and the like. The UE generally does not know the number of CCEs (Channel Control elements) occupied by the current PDCCH, what DCI format information is transmitted, and where the information required by the UE is. However, the UE knows what information it expects currently, and for different pieces of expected information, the UE performs CRC (Radio Network temporary Identity ) Check using corresponding RNTI information, and if the CRC Check is successful, the UE knows that the information is required by itself, and can further know corresponding DCI format and modulation mode, thereby obtaining the required DCI content. This is the so-called PDCCH blind detection procedure.
The processing flow of the PDCCH sending end is as follows:
generating DCI and CRC information- > scrambling with RNTI- > tail-biting convolutional coding- > rate matching- > PDCCH multiplexing and scrambling- > QPSK (Quadrature Phase Shift Keying) modulation- > layer mapping and precoding- > mapping of resource blocks.
Correspondingly, in the prior art, the method for receiving the PDCCH by the user is the reverse process of the transmission processing flow:
de-resource block mapping- > de-layer mapping and precoding- > de-QPSK- > blind detection- > rate matching- > Viterbi decoding- > de-CRC.
The blind detection procedure of the UE is explained in detail below:
step 1, calculating all PDCCH candidate set positions in a search space by using RNTI of UE. The concept of the search space limits the possible placing positions of PDCCHs with different formats, and reduces the complexity of blind detection of the UE. Each PDCCH with different formats corresponds to different search spaces, LTE mainly includes a cell common search space and a UE dedicated search space, and the corresponding relationship between the number of candidate sets and the aggregation level is defined by a protocol, as shown in table 1 below
TABLE 1 PDCCH candidate set number List
L in Table 1 is the Aggregation Level (Aggregation Level) of the candidate set, M (L) And the number of the candidate sets with the aggregation level L in the corresponding search space is determined. The DCI of the UE is carried by a certain PDCCH candidate set, and in order to obtain DCI, the PDCCH candidate set carrying the DCI needs to be known, and the candidate set is uniquely determined by the starting CCE location and the aggregation level.
Location of starting CCE
Is calculated by the following formula:
in the formula, the subscript k of natural number is the sequence number of sub-frame,
for the position of the initial CCE with aggregation level L in the kth subframe, the value of the continuous value m is: 0,1,2, \8230;, M (L) -1，N CCE,k Is the number of CCEs available for PDCCH transmission in the k-th subframe.
For a common search space, computing an intermediate variable Y of the process k =0; for UE-specific search spaces, then Y k ＝(A·Y k -1) modD; wherein Y is -1 ＝n RNTI ≠0，A＝39827，D＝65537，n RNTI For the RNTI of the user UE, the notation mod denotes the modulo operation.
Each UE in each cell has a unique RNTI, and for a specific UE, the positions of all PDCCH candidate sets can be calculated according to the RNTI, the subframe number and the number of CCEs.
And 2, step: each PDCCH candidate set is decoded and verified by CRC as being the correct DCI. The UE can calculate the length of the needed DCI according to the system configuration, then carries out de-rate matching and Viterbi decoding on each PDCCH candidate set according to the known DCI length, carries out de-CRC check by using the RNTI, indicates that the decoding is correct if the check is correct, and can extract the corresponding DCI content.
The disadvantages of the technical scheme are that: the DCI for indicating the UE resource allocation may be stored in the common search space or may be stored in the UE-dedicated 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 it is decoded 44 times at most. I.e., the decoder is required to be entered 44 times at most, and the computational complexity of the decoder is high, and excessive decoding operations bring 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, to perform the blind detection process: the method comprises the steps of de-resource block mapping- > de-layer mapping and precoding- > de-QPSK- > blind detection- > rate matching- > Viterbi decoding- > de-CRC, and is adjusted to be de-resource block mapping- > de-layer mapping and precoding- > de-QPSK- > blind detection- > rate matching- > filtering module- > Viterbi decoding- > CRC.
In the filtering module, the soft bit values after rate matching are mainly subjected to one-time filtering check, so that soft bit sets which obviously cannot carry the DCI or soft bit sets which show that the DCI coding features do not exist are filtered, that is, 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 one
Fig. 1 is a flowchart of a blind detection processing method according to an embodiment of the present invention. The present embodiment is applicable to the case of blind detection processing, and is particularly applicable to the case of performing primary screening on the soft bit set finally input to the decoder before the soft bit set after velocity matching is input to the decoder. The method of the present embodiment may be performed by a blind detection processing apparatus, which may be implemented by software and/or hardware, and may be configured in a terminal device, typically, a mobile terminal device.
Correspondingly, the method specifically comprises the following steps:
and S110, carrying out soft combination on the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combination set.
Wherein the number of soft bits in the soft bit combining set matches a 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 the DCI that the UE desires to acquire, that is, the data length of the desired DCI after decoding by the decoder. Furthermore, when performing rate matching on each PDCCH candidate set to generate a corresponding soft bit 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 finally output. After the target DCI is predetermined, the length of the coded DCI for generating the decoded DCI, that is, the length of the coded DCI, included in the soft bit set before entering the decoder, may be determined accordingly.
Correspondingly, after the target DCI length is determined, the coded DCI length is also uniquely determined, and further, a soft bit union set in which the number of soft bits is consistent with the coded DCI length may be generated. To ensure that the soft bit combining set contains all the information of the DCI required for decoding.
And the soft bit combination set is a new combination set obtained 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 coded DCI length, and further, the soft bit combination set may be obtained by combining bit values of the same bit position in the one or more soft bit subsets.
In this embodiment, in the process of blind detection processing, the mobile terminal first obtains a target PDCCH candidate set, and performs decoding operation on the target PDCCH candidate set first, 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, so that a soft bit combined set can be obtained. Specifically, the soft bit set has a set number of soft bit values, and each soft bit value corresponds to a sampling value at one sampling 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.
And S120, traversing in the soft bit combination set according to a soft bit combination mode determined by the coding characteristics of the convolutional codes to obtain a plurality of soft bit combinations.
As described above, the PDCCH sending end performs convolutional coding on the DCI, and when the result of the convolutional coding includes an effective coded DCI, the result of the convolutional coding is decoded to obtain a soft bit combining set matched with the target DCI in length, where the arrangement of the soft bits needs to conform to the coding characteristics of the convolutional code. Typically, the inventors found by extensive analysis of the respective convolutional encoding results: in the convolutional coding result corresponding to the efficiently coded DCI, the bit values of the 8 soft bits arranged according to the fixed ordering are all 0.
Correspondingly, in the soft bit combination set carrying all DCI information, all possible bit values of the 8 soft bits may be obtained in a traversal manner, that is, a plurality of soft bit combinations are obtained in a traversal manner in the soft bit combination set according to a soft bit combination mode determined by a convolutional code coding characteristic.
Furthermore, the numerical characteristics of each bit value in each soft bit combination are analyzed in a statistical manner, for example, each bit value is small, and whether one valid coded DCI exists in the soft bit set can be predicted from a probability perspective.
As described above, by analyzing the encoding characteristics of the convolutional codes, it can be determined that a soft bit combination set carrying DCI with effective codes is combined, and the soft bit combination obtained according to which soft bit combination mode will exhibit some special values or value 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 a soft bit combination set. Wherein one soft bit combination set contains a plurality of soft bit values. In different soft bit combinations, the arrangement sequence of adjacent soft bits in the original soft bit combination set is fixed.
Optionally, traversing in the soft bit combination set according to the soft bit combination order determined by the coding features of the convolutional code to obtain a plurality of soft bit combinations, including:
splitting the soft bit combination set into a plurality of soft bit combination subsets which are connected in sequence; and traversing and acquiring a plurality of starting bit positions in the first soft bit combination subset, and respectively acquiring soft bit combinations respectively corresponding to the starting bit positions 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 the soft bit combination subset contains a soft bit values, the soft bit combination subset can be sequentially split into a soft bit combination subset 1 having a soft bit values, a soft bit combination subset 2 having b soft bit values, and a soft bit combination subset 3 having c soft bit values. The sum of a, b and c is a, wherein the values of a, b and c may be the same or different, and are not limited herein.
Specifically, the soft bit combination order may be a combination order capable of determining positions of the remaining other bits when determining the start bit position. As a continuation example, the soft bit combination subset can be divided into a soft bit combination subset 1, a soft bit combination subset 2, and a soft bit combination subset 3. And traversing and acquiring a plurality of starting bit positions in the soft bit combination subset 1, and respectively acquiring soft bit combinations respectively corresponding to each starting bit position in the soft bit combination subset 1, the soft bit combination subset 2 and the soft bit combination subset 3 according to the soft bit combination sequence. Specifically, the soft bit combination mode determined by the coding characteristics of the convolutional code through statistical analysis is as follows: the i +1 st soft bit, the i + m th soft bit, the i + m +2 nd soft bit, the i + m +3 rd soft bit, the i +2m th soft bit, the i +2m +1 st soft bit, the i +2m +2 nd soft bit and the i +2m +3 rd soft bit.
Further, assuming that m =6, the soft bit combining subset 1 is {0.8,1.3,1.1,0.5,2.5,1.7}, the soft bit combining subset 2 is {0.9,2.3,1.6,1.4,0.8,3.2}, and the soft bit combining subset 3 is {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 selected to be 1.3 in the soft bit combining subset 1, according to the soft bit combination sequence, the i + m soft bits, the i + m +2 soft bits and the i + m +3 soft bits may be located in the soft bit combining subset 2, and 0.9,1.6 and 1.4 are selected to be obtained, the i +2m soft bits, the i +2m +1 soft bits, the i +2m +2 soft bits and the i +2m +3 soft bits are located in the soft bit combining subset 3, and 2.1,1.5,0.7 and 1.5 are selected to be obtained, and according to the selected soft bit value, the corresponding soft bit combination of {1.3,0.9,1.6,1.4,2.1,1.5,0.7,1.5} may be obtained.
S130, screening a soft bit set meeting reasonable DCI coding conditions according to the numerical characteristics of the soft bit combinations.
The numerical characteristic may refer to a bit value size of each soft bit in the soft bit combination, or a variation trend of a magnitude relation between the sum of the 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 over the traversal will have the same numerical characteristics.
Reasonable DCI coding conditions can be understood as: in a soft bit set containing the DCI with effective codes, the bit values of all soft bits are subjected to correlation processing to obtain a plurality of soft bit combinations, and a quantifiable judgment condition needs to be met.
In the previous example, in the convolutional coding result corresponding to the DCI with effective coding, the bit values of the 8 soft bits arranged according to the fixed sequence are all 0, and considering the influence of channel noise, if one soft bit set really has the DCI with effective coding, after the cumulative summation of the bit values in each soft bit combination corresponding to the soft bit set, the cumulative result should not be very large, and further, the cumulative summation result of each soft bit combination is compared with a preset threshold value a, and if the cumulative summation result of the currently processed soft bit combination does not exceed the threshold value a, it may be determined that the soft bit combination conforms to 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 value of the soft bit combinations that do not exceed the threshold value a, and if the number value is larger, it indicates that more soft bit combinations meet the bit value characteristics, and further, it may indicate that the probability that the soft bit set contains the DCI with effective codes is higher. Furthermore, the above quantity value may be compared with a preset threshold B, and if the quantity value exceeds the threshold B, it may be determined that the soft bit set has a certain probability of containing the DCI with effective coding, and then the soft bit set may be input to a decoder for further judgment; if the quantity value does not exceed the threshold value B, the probability that the soft bit set contains the effectively coded DCI is determined to be low, and further, the soft bit set can not be input to a decoder any more, so that the blind detection efficiency of the PDCCH is improved.
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 meeting the reasonable DCI coding condition according to the numerical characteristic of the multiple soft bit combinations may include: correspondingly adding the bit values in each soft bit combination, and counting the quantity value of the soft bit combination with the addition result exceeding a target first threshold; determining that a fair DCI encoding condition is satisfied if the quantitative value exceeds a target second threshold.
The target first threshold may be a threshold set by performing statistical calculation in advance, and is used for comparing with a value obtained by adding bit values in each soft bit combination. The target second threshold may be a threshold for determining the magnitude of the soft bit combination exceeding the target first threshold.
In this embodiment, first, after the corresponding addition is performed on the bit values in each soft bit combination, the number value of the soft bit combination whose addition result exceeds the target first threshold is counted, and the magnitude relationship between the number value and the target second threshold, that is, the magnitude relationship between the quantized feature value and the target second threshold, is compared. If the quantized eigenvalue is greater than the target second threshold, it can be determined that the soft bit set satisfies the reasonable DCI coding condition, that is, the soft bit set contains the efficiently coded DCI; if the quantized eigenvalue is less than or equal to the target second threshold, it may be determined that a set of soft bits does not satisfy reasonable DCI coding conditions, the set of soft bits not containing validly coded DCI.
In addition, before the bit values in each soft bit combination are correspondingly added, normalization processing can be performed on the bit values in each soft bit combination, so that the reason for preventing error discrimination caused by overlarge bit values in one or more soft bit combinations due to interference of local noise is provided.
Illustratively, assume soft bit combiningThe ith soft bit in set 1 is B 0 (i) The ith soft bit in the soft bit combination subset 2 is B 1 (i) And the ith soft bit in the soft bit combining subset 3 is B 2 (i) Then, it is necessary to perform normalization processing on each soft bit in the 3 soft bit combining subsets, specifically, by separately passing through
And
to perform the normalization process.
And S140, inputting the soft bit set meeting the reasonable DCI coding conditions to a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
In this embodiment, when it is determined that the DCI coding condition is not satisfied, it may be considered that the probability that the DCI encoded effectively is included in the soft bit set is very low, and the soft bit set does not conform to the DCI coding rule, so that the soft bit set may be directly discarded to avoid an invalid decoding operation performed by the decoder. When it is determined that reasonable DCI coding conditions are satisfied, the soft bit set may be considered to have a certain probability of containing the DCI with effective coding, and the soft bit set conforms to DCI coding rules to a certain extent. Furthermore, the soft bit set can be input to a decoder for decoding, so as to accurately judge whether the soft bit set contains DCI.
According to the technical scheme provided by the embodiment of the invention, a soft bit set matched with a target PDCCH candidate set is subjected to soft combination to obtain a soft bit combination 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 encoding characteristics of the convolutional codes; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process. The technical scheme of the embodiment of the invention solves the problem of high calculation 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 calculation complexity in the blind detection processing process and the reduction of the power consumption of the decoder.
Example two
Fig. 2 is a flowchart of another blind detection processing method according to a second embodiment of the present invention. In this embodiment, a soft bit set matched with the target PDCCH candidate set is soft-combined to obtain a soft bit combined set, and the refinement is further performed.
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 coded DCI length may be a coded data length (number of coded bits) of the target DCI length before decoding by a decoder. Specifically, assuming that the target DCI Length is 10, the coded DCI Length is calculated according to a coded DCI Length calculation formula N =3 (DCI _ Length + 16), in the formula, DCI _ Length is the target DCI Length, N is the coded DCI Length, and N may be calculated to be 78.
S220, dividing the soft bit set into at least one soft bit subset by using the length of the coded DCI 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, with the coded DCI length as a dividing unit, if the number of soft bits included in a soft bit set is greater than the coded 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 coded 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 and the coded DCI length is 25, it may be determined that the total number of soft bits is greater than the coded DCI length, and therefore, soft bits of the coded DCI length before the soft bit set are taken out to form a 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, of the total number of soft bits in the remaining soft bit set, the soft bits of the previously coded DCI length in the soft bit set are continuously extracted to form a soft bit subset 2, where 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 detection soft bit set does not exceed the coded DCI length, and thus, all soft bits in the soft bit set are used to form a soft bit subset 3. To sum up, the soft bit set is divided into 3 soft bit subsets, which are: soft bit subset 1 with a total number of soft bits of 25, soft bit subset 2 with a total number of soft bits of 25, and soft bit subset 3 with a total number of soft bits of 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 coded DCI length is 25, it may be determined that the total number of soft bits is less than the coded DCI length, so that 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, go to S240; otherwise, S250 is executed.
And S240, performing last bit filling processing on the soft bit subsets to obtain the soft bit combination set, and executing S260.
The last padding process may be zero padding for the soft bit subset, so that the total number of soft bits in the soft bit subset is consistent with the coded DCI length.
For example, since the total number of soft bits in the soft bit set is 20 and the length of the coded DCI is 25, a soft bit subset 1 with the total number of soft bits of 20 may be generated, and since the total number of soft bits of the soft bit subset 1 is less than the length of the coded DCI, the last padding process needs to be performed on the soft bit subset 1, that is, 5 zeros are padded at the end of the soft bit subset 1 with the total number of soft bits of 20, so that the total number of soft bits of the soft bit subset is consistent with the length of the coded DCI.
And S250, if the number of the soft bit subsets is not unique, correspondingly adding the bit values of the same bit positions in each soft bit subset to obtain a soft bit combination set, and executing S260.
For example, assuming that the total number of soft bits in the soft bit set is 65 and the coded DCI length is 25, the soft bit set may be divided into 3 soft bit subsets, which are: soft bit subset 1 with a total number of soft bits of 25, soft bit subset 2 with a total number of soft bits of 25, and soft bit subset 3 with a total number of soft bits of 15. The same bit positions of the soft bit subset 1, the soft bit subset 2 and the soft bit subset 3 need to be added to obtain the corresponding soft bit union set.
In addition, since the total number of soft bits in the soft bit subset 3 is 15, it may also be subjected to end padding, that is, 10 zeros are padded at the end, and then the soft bits are added to the soft bit subset 1 and the soft bit subset 2.
And S260, traversing in the soft bit combination set according to a soft bit combination mode determined by the encoding characteristics of the convolutional codes to obtain a plurality of soft bit combinations.
In an optional implementation manner of this embodiment, the soft bit combination determined by the encoding characteristics of the convolutional code through statistical analysis is determined as follows:
the soft bits include an i +1 th soft bit, an i + (DCI _ Length + 16) +2 soft bits, an i + (DCI _ Length + 16) +3 soft bits, an i +2 (DCI _ Length + 16) th soft bit, an i +2 (DCI _ Length + 16) +1 soft bit, an i +2 (DCI _ Length + 16) +2 soft bits, and an i +2 (DCI _ Length + 16) +3 soft bits.
Furthermore, after the bit position of the ith bit is determined, the bit positions of all 8 soft bits in the soft bit combination are determined so as to finally obtain a plurality of required soft bit combinations
As described above, the soft bit combination set includes M =3 × soft bits (DCI _ Length + 16). For the convenience of subsequent calculation, the soft bit combination set may be divided into three soft bit combination subsets connected in sequence, for example: b is 0 (i)，B 1 (i) And B 2 (i)。
Before that, need to be paired with B 0 (i)、B 1 (i) And B 2 (i) Performing normalization treatment, specifically, respectivelyFor treating
And
to perform the normalization process.
Wherein, B 0 (i) The DCI _ Length +16 soft bits before the soft bit union set are stored in the memory, B 1 (i) The soft bit union set intermediate DCI _ Length +16 soft bits, B, are stored 2 (i) Which stores the last DCI _ Length +16 soft bits in the soft bit combining set. B is 0 (i) And B 1 (i) The soft bits in the same position in the soft bit combination set differ by a value (DCI _ Length + 16), B 0 (i) And B 2 (i) The soft bits at the same position in the soft bit combination set differ by 2 (DCI _ Length + 16).
Accordingly, a traversal start point j may be set, which is initialized to 1. Then setting a cycle to execute the following operations:
namely: traverse 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) Selecting: 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 a soft bit set meeting reasonable DCI coding conditions according to the numerical characteristics of the 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: 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 (i + 3) determining the magnitude relationship between C (i) and the first threshold, and if C (i) is greater than the first threshold, adding 1 to the quantitative value (the initial quantitative value is 0).
Correspondingly, after each soft bit combination is compared, the magnitude relation between the quantity value and the second threshold is judged, if the quantity value is greater than the second threshold, it can be determined that a reasonable DCI coding condition is satisfied, and if the quantity value is less than or equal to the second threshold, it can be determined that the reasonable DCI coding condition is not satisfied.
S280, inputting the soft bit set satisfying the reasonable DCI coding condition to a decoder, so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
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 using the length of the coded DCI 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 less than the length of the coded DCI, performing last bit filling processing on the soft bit subsets to obtain a soft bit combination set; if the number of the soft bit subsets is not unique, correspondingly adding bit values of the same bit position in each soft bit subset to obtain a soft bit combination 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 encoding characteristics of the convolutional codes; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process. The soft bit combination union set is determined more accurately, the workload of the decoder is greatly reduced, the computational complexity is reduced in the blind detection processing process, and the decoding reliability of the decoder is improved.
On the basis of the foregoing embodiments, before screening the soft bit set satisfying the reasonable DCI coding condition according to the numerical characteristic of the multiple 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 value set stores combination of the aggregation level and the DCI length and combination corresponding relation between the combination of the first threshold value and the second threshold value.
Wherein, the aggregation level may be that one PDCCH is n consecutive CCEs. The PDCCH may have multiple 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 encoding threshold set includes a corresponding relationship between a plurality of reasonable encoding threshold pairs and the matched aggregation level and DCI length, where the reasonable encoding threshold pairs may be a target first threshold and a target second threshold, that is, a corresponding relationship between the first threshold and the second threshold and a combination of the aggregation level and DCI length. Accordingly, after obtaining the aggregation level with the target PDCCH candidate set and the target DCI length, by querying the set of reasonable coding thresholds, a matching target first threshold and a matching target second threshold may be obtained.
The advantages of such an arrangement are: and 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 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 reasonable DCI coding conditions are met. The first threshold and the second threshold determined in this way can be used for more accurately judging, so that the soft bit sets which do not meet reasonable DCI coding conditions can be accurately discarded.
Optionally, before performing soft combining on the soft bit set matched with the target PDCCH candidate set, the method further includes: extracting a plurality of analog PDCCH candidate sets respectively under the combination of each aggregation level and DCI length aiming at a plurality of signal-to-noise ratio sending end signals; calculating a plurality of simulated PDCCH candidate sets under each combination of the aggregation level and the DCI length, and screening success rate under different combinations of a first threshold and a second threshold; and forming a reasonable coding threshold value set according to the combination of the first threshold value and the second threshold value of the maximum screening success rate under the combination of each aggregation level and the DCI length.
Wherein the filtered power may be a probability that statistics enable a set of soft bits comprising DCI to be accurately input to the decoder.
Illustratively, assuming there are 100 sets of analog PDCCH candidate sets, the signal-to-noise ratio of the transmit-end signal may be 3dB, 5dB, and 10dB, respectively. There may be 5 aggregation levels: {1,2,4,8, 16}, DCI length has two types of lengths of 16 and 24. It is assumed 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 And a 3 And b 3 Each selectable value may be considered to be a combination of a first threshold and a second threshold. With the above settings, a total of 100 × 3 × 5 × 2 × 3=9000 calculation statistics need to be performed.
Specifically, under the condition that the aggregation level is 16 and the dci length is 24 under three sending end signals with different signal-to-noise ratios of 3dB, 5dB and 10dB, a total of 300 sets of analog PDCCH candidate sets are respectively extracted. Wherein, when the first threshold and the second threshold are a respectively 1 And b 1 The screening success rate can be calculated to be 75%. When the first threshold and the second threshold are respectively a 2 And b 2 The screening success rate can be calculated to be 65%. When the first threshold and the second threshold are respectively a 3 And b 3 The screening success rate can be calculated to be 85%. Since the screening power of the third combination is the maximum, it can be determined that the corresponding first threshold and second threshold are a respectively in the case of aggregation level of 16 and dci length of 24 3 And b 3 。
Similarly, the first threshold and the second threshold corresponding to different aggregation levels and DCI lengths may be calculated, so that a reasonable encoding threshold set may be formed.
The advantages of such an arrangement are: extracting a plurality of analog PDCCH candidate sets under the combination of each aggregation level and DCI length respectively by aiming at a plurality of signal-to-noise ratio sending end signals; calculating a plurality of analog 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 value set according to the combination of the first threshold value and the second threshold value 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, whether the soft bit set meets the reasonable coding condition is more accurately judged, the soft bit set which does not accord with the coding rule can be reduced and sent into 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 apparatus according to a third embodiment of the present invention, where the blind detection processing apparatus according to the third embodiment of the present invention may be implemented by software and/or hardware, and may be configured in a terminal device to implement a blind detection processing method according to the third embodiment of the present invention. As shown in fig. 3, the apparatus may specifically include: a soft bit combination set determining module 310, a soft bit combination obtaining module 320, a soft bit set filtering module 330, and a soft bit set input module 340.
The soft bit combination set determining module 310 is configured to perform soft combination on a soft bit set matched with the target PDCCH candidate set to obtain a soft bit combination set, where the number of soft bits in the soft bit combination set is matched with a target DCI length used for generating the soft bit set;
a soft bit combination obtaining module 320, configured to traverse in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination manner determined by a convolutional code coding characteristic;
a soft bit set screening module 330, configured to screen a soft bit set that meets reasonable DCI coding conditions according to numerical characteristics of a plurality of soft bit combinations;
a soft bit set input module 340, configured to input a soft bit set that meets reasonable DCI encoding conditions to a decoder, so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
According to the technical scheme provided by the embodiment of the invention, a soft bit set matched with a target PDCCH candidate set is subjected to soft combination to obtain a soft bit combination set; traversing in the soft bit combination set according to a soft bit combination mode determined by the coding characteristics of the convolutional codes to obtain a plurality of soft bit combinations; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process. The technical scheme of the embodiment of the invention solves the problem of high calculation 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 calculation complexity in the blind detection processing process and the reduction of the power consumption of the decoder.
On the basis of the foregoing embodiments, the soft bit merging set determining 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 to generate the soft bit set; a soft bit merging set determining unit, configured to perform soft merging on the at least one soft bit subset to obtain a soft bit merging set.
On the basis of the foregoing embodiments, the soft bit subset dividing unit may be specifically configured to: calculating the length of the coding DCI according to the length of the target DCI; and dividing the soft bit set into at least one soft bit subset by taking the length of the coded DCI as a dividing unit.
On the basis of the foregoing embodiments, the soft bit 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 less than the length of the coded DCI, performing last bit filling processing on the soft bit subsets to obtain a soft bit combination set; and if the number of the soft bit subsets is not unique, correspondingly adding the bit values of the same bit position in each soft bit subset to obtain the soft bit combination set.
On the basis of the foregoing embodiments, the soft bit combination obtaining module 320 may be specifically configured to: splitting the soft bit combination set into a plurality of soft bit combination subsets which are connected in sequence; and traversing the first soft bit combination subset to obtain a plurality of starting bit positions, and respectively obtaining soft bit combinations respectively corresponding to the starting bit positions in each soft bit combination subset according to the soft bit combination sequence.
On the basis of the foregoing embodiments, the soft bit set filtering 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 combination with the addition result exceeding a target first threshold; determining that a fair DCI encoding condition is satisfied if the quantitative value exceeds a target second threshold.
On the basis of the foregoing embodiments, the method further includes a target threshold obtaining module, which may be specifically configured to: before a soft bit set meeting reasonable DCI coding conditions is screened according to numerical characteristics of a plurality of soft bit combinations, a target first threshold and a target second threshold are obtained from a reasonable coding threshold set according to a target aggregation level of a target PDCCH candidate set and the target DCI length; and the reasonable coding threshold value set stores combination of the aggregation level and the DCI length and combination corresponding relation between the combination of the first threshold value and the second threshold value.
On the basis of the foregoing embodiments, the method further includes a reasonable encoding threshold set determining module, which may be specifically configured to: before soft combining is carried out on a soft bit set matched with a target PDCCH candidate set, aiming at a plurality of signal-to-noise ratio sending end signals, a plurality of analog PDCCH candidate sets are extracted under the combination of each aggregation level and DCI length; calculating a plurality of analog 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 value set according to the combination of the first threshold value and the second threshold value 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 corresponding functional modules and beneficial effects of the execution method.
Example four
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 multiple, and fig. 4 takes multiple CPU cores 410 as an example; the CPU core 410, the memory 420, the input device 430 and the output device 440 in the apparatus may be connected by a bus or other means, and the bus connection is exemplified in fig. 4.
The memory 420 may be used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the blind detection processing method in the embodiments of the present invention (e.g., the soft bit combination set determining module 310, the soft bit combination obtaining module 320, the soft bit set filtering module 330, and the soft bit set inputting module 340). The CPU core 410 executes various functional applications and data processing of the device by executing software programs, instructions, and modules stored in the memory 420, so as to implement the above-described blind detection processing method, which includes:
performing soft combination on the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combination 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 encoding characteristics of the convolutional codes; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
The memory 420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from CPU core 410, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the device. The output device 440 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, which when executed by a computer processor, is configured to perform a method for blind detection processing, the method including: soft combining the soft bit set matched with the target PDCCH candidate set to obtain a soft bit combined 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 encoding characteristics of the convolutional codes; screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
Of course, the computer-readable storage medium provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the blind detection processing method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the blind detection processing apparatus, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing description is only exemplary of the invention and that the principles of the technology may be employed. Those skilled in the art will appreciate that the present invention is not limited to the particular embodiments described herein, and that various obvious changes, rearrangements and substitutions will now be apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (11)
1. A blind detection processing method, comprising:
soft combining the soft bit set matched with the target physical downlink control channel PDCCH candidate set to obtain a soft bit combined set, wherein the number of soft bits in the soft bit combined set is matched with the length of target DCI used for generating the soft bit set;
traversing in the soft bit combination set according to a soft bit combination mode determined by the coding characteristics of the convolutional codes to obtain a plurality of soft bit combinations;
screening a soft bit set 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 conditions into a decoder so as to reduce the decoding times of the decoder in the PDCCH blind detection process.
2. The method of claim 1, wherein soft combining the soft bit sets matched with the target PDCCH candidate set to obtain a soft bit combination set 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 performing soft combination 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 length of the coding DCI according to the length of the target DCI;
and dividing the soft bit set into at least one soft bit subset by taking the length of the coded DCI as a dividing unit.
4. The method of claim 3, wherein soft combining the at least one subset of soft bits to obtain a soft bit combined set 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 less than the length of the coded DCI, performing last bit filling processing on the soft bit subsets to obtain a soft bit combination set;
and if the number of the soft bit subsets is not unique, correspondingly adding the bit values of the same bit position in each soft bit subset to obtain the soft bit combination set.
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 set according to a soft bit combination order determined by convolutional code coding characteristics comprises:
splitting the soft bit combination set into a plurality of soft bit combination subsets which are connected in sequence;
and traversing the first soft bit combination subset to obtain a plurality of starting bit positions, and respectively obtaining soft bit combinations respectively corresponding to the starting bit positions in each soft bit combination subset according to the soft bit combination sequence.
6. The method of claim 1, wherein the selecting the set of soft bits that satisfy the reasonable DCI coding condition according to the numerical characteristics of the plurality of soft bit combinations comprises:
correspondingly adding the bit values in each soft bit combination, and counting the quantity value of the soft bit combination with the addition result exceeding a target first threshold;
determining that a fair DCI encoding condition is satisfied if the quantitative value exceeds a target second threshold.
7. The method of claim 6, further comprising, before screening the set of soft bits that satisfy reasonable DCI coding conditions according to 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 value set stores combination of the aggregation level and the DCI length and combination corresponding relation between the combination of the first threshold value and the second threshold value.
8. The method of claim 7, further comprising, prior to soft combining the set of soft bits matching the target PDCCH candidate set:
extracting a plurality of analog PDCCH candidate sets respectively under the combination of each aggregation level and DCI length aiming at a plurality of signal-to-noise ratio sending end signals;
calculating a plurality of simulated PDCCH candidate sets under each combination of the aggregation level and the DCI length, and screening success rate under different combinations of a first threshold and a second threshold;
and forming a reasonable coding threshold value set according to the combination of the first threshold value and the second threshold value of the maximum screening success rate under the combination of each aggregation level and the DCI length.
9. A blind detection processing apparatus, comprising:
a soft bit combination set determining module, configured to perform soft combination on a soft bit set matched with a target physical downlink control channel PDCCH candidate set to obtain a soft bit combination set, where the number of soft bits in the soft bit combination set matches a target DCI length used to generate the soft bit set;
a soft bit combination obtaining module, configured to traverse in the soft bit combination set to obtain a plurality of soft bit combinations according to a soft bit combination mode determined by convolutional code coding characteristics;
the soft bit set screening module is used for screening the soft bit set which meets the reasonable DCI coding condition 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 PDCCH blind detection process.
10. 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 to 8 when executing the computer program.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the blind detection processing method according to any one of claims 1 to 8.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130205176A1 (en) * | 2012-02-03 | 2013-08-08 | Research In Motion Limited | Method and apparatus for reducing false detection of control information |
| US8990665B1 (en) * | 2011-04-06 | 2015-03-24 | Densbits Technologies Ltd. | System, method and computer program product for joint search of a read threshold and soft decoding |
| WO2021000531A1 (en) * | 2019-07-03 | 2021-01-07 | 深圳大学 | Polar code segmented flipping decoding method based on llr, and intelligent terminal |
| CN113938257A (en) * | 2021-12-17 | 2022-01-14 | 广州慧睿思通科技股份有限公司 | Method, device and equipment for detecting physical downlink control channel and storage medium |
| CN114422080A (en) * | 2021-12-22 | 2022-04-29 | 广州慧睿思通科技股份有限公司 | Method, device and equipment for PDCCH blind detection and storage medium |
-
2022
- 2022-06-30 CN CN202210768109.4A patent/CN115173996B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8990665B1 (en) * | 2011-04-06 | 2015-03-24 | Densbits Technologies Ltd. | System, method and computer program product for joint search of a read threshold and soft decoding |
| US20130205176A1 (en) * | 2012-02-03 | 2013-08-08 | Research In Motion Limited | Method and apparatus for reducing false detection of control information |
| WO2021000531A1 (en) * | 2019-07-03 | 2021-01-07 | 深圳大学 | Polar code segmented flipping decoding method based on llr, and intelligent terminal |
| CN113938257A (en) * | 2021-12-17 | 2022-01-14 | 广州慧睿思通科技股份有限公司 | Method, device and equipment for detecting physical downlink control channel and storage medium |
| CN114422080A (en) * | 2021-12-22 | 2022-04-29 | 广州慧睿思通科技股份有限公司 | Method, device and equipment for PDCCH blind detection and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| ERICSSON: "\"R1-1720524 Remaining aspects of sPDCCH,search space and sDCI\"", 《3GPP TST-RAN WG1 MEETING #91》 * |
| 李小文;曾李;穆朋飞;: "《优化PDCCH盲检测的功率检测法的实现》", 自动化仪表 * |
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