CN114422083A - PDCCH estimation parameter acquisition method, device, network device and storage medium - Google Patents

Abstract

The present disclosure provides a method, apparatus, network device and storage medium for obtaining PDCCH estimation parameters. The method includes: obtaining a 5G air interface signal, and determining physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data Including control channel unit CCE data; demodulating the PDCCH data to obtain initial bit data; according to the starting position of the CCE data, performing sliding extraction processing on the initial bit data to obtain several initial sequences; The initial sequence is descrambled and reversed to obtain the parameter pdcch-DMRS-ScramblingID. According to the solution of the embodiment of the present disclosure, the amount of calculation can be reduced, and the efficiency of the blind detection of the PDCCH can be improved.

Description

PDCCH estimation parameter acquisition method, device, network device and storage medium

technical field

The embodiments of the present disclosure relate to the field of communications technologies, and in particular, to a method, an apparatus, a network device, and a storage medium for obtaining a PDCCH estimation parameter.

Background technique

The parameter pdcch-DMRS-Scrambl ingID in a 5G NR (New Radio, new air interface) system is mainly used to generate a DMRS (Demodulation Reference Signal, demodulation reference signal) corresponding to a PDCCH (Physical Downlink Control Channel, physical downlink control channel); Usually, UE (User Equipment, user equipment) needs to perform blind detection in the PDCCH candidate set according to pdcch-DMRS-ScramblingID and its own RNTI (Radio Network TemporaryIdentity, wireless network temporary identity), so as to obtain its own DCI ( Downlink Control Information, downlink control information).

SUMMARY OF THE INVENTION

The following is an overview of the topics detailed in this article. This summary is not intended to limit the scope of protection of the claims.

The inventor found that in the process of performing blind detection of PDCCH, channel estimation should be performed first. In the case of unknown pdcch-DMRS-ScramblingID, this parameter needs to be detected first; the related scheme is mainly based on pdcch-DMRS-ScramblingID. Value range, traverse all the values to perform related calculations, and then obtain the corresponding pdcch-DMRS-ScramblingID according to the relevant results of the operation, but the value range of pdcch-DMRS-ScramblingID is 0-65535, if all the values are traversed, This will cause the problem of excessive calculation load, thereby affecting the efficiency of PDCCH blind detection.

The embodiments of the present disclosure provide a method, an apparatus, a network device, and a computer-readable storage medium for obtaining a PDCCH estimation parameter, which can reduce the amount of calculation and improve the efficiency of PDCCH blind detection.

In a first aspect, an embodiment of the present disclosure provides a method for obtaining PDCCH estimation parameters, and the method includes:

obtaining a 5G air interface signal, and determining physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data;

determining a channel polarity value of the PDCCH data, and performing demodulation processing on the PDCCH data according to the channel polarity value to obtain initial bit data; wherein the channel polarity value is related to a channel estimation value;

According to the starting position of the CCE data, a sliding extraction process is performed on the initial bit data to obtain several initial sequences; wherein, the initial sequences are associated with pseudo-random sequences;

Perform descrambling and inversion processing on several of the initial sequences to obtain several parameters pdcch-DMRS-ScramblingID.

In some specific embodiments of the present disclosure, there are multiple CCE data, and the first traversal condition is to traverse all the CCE data in the PDCCH data; the descrambling and calculation of several initial sequences are performed. Inverse processing, after obtaining several parameters pdcch-DMRS-ScramblingID, it also includes:

In the case that the first traversal condition is not met, select new CCE data;

According to the starting position of the new CCE data, perform sliding extraction processing on the initial bit data again to obtain several new initial sequences;

Perform descrambling and inversion processing on several new initial sequences to obtain several new parameters pdcch-DMRS-ScramblingID.

In some specific embodiments of the present disclosure, the channel polarity values are multiple, and the second traversal condition is to traverse all the channel polarity values; the descrambling and summation of several initial sequences is performed. After inversion processing, after obtaining several parameters pdcch-DMRS-ScramblingID, it also includes:

In the case that the second traversal condition is not met, select a new value of the channel polarity;

Perform demodulation processing on the PDCCH data again according to the new channel polarity value to obtain new initial bit data;

According to the starting position of the CCE data, a sliding extraction process is performed on the new initial bit data to obtain several initial sequences.

In some specific embodiments of the present disclosure, the third traversal condition is that all the CCE data in the PDCCH data are completely traversed and all the channel polarities are completely traversed, and the pair of several initial sequences After descrambling and inversion processing are performed, several parameters pdcch-DMRS-ScramblingID are obtained, including:

When the third traversal condition is satisfied, all the parameters pdcch-DMRS-ScramblingID are output.

In some specific embodiments of the present disclosure, performing demodulation processing on the PDCCH data to obtain initial bit data includes:

performing time-frequency transform on the PDCCH data to obtain PDCCH frequency domain data;

performing channel equalization processing on the PDCCH frequency domain data to obtain demodulation reference signal DMRS symbols;

The initial bit data is obtained by demodulating the DMRS symbols.

In some specific embodiments of the present disclosure, according to the starting position of the CCE data, performing sliding extraction processing on the initial bit data to obtain several initial sequences, including:

According to the starting position of the CCE data, extract the first continuous bit data of the first preset length from the initial bit data;

Perform sliding extraction processing on the first continuous bit data to obtain several second continuous bit data of a second preset length;

Several pieces of the second continuous bit data are determined as several pieces of the initial sequence; wherein, the first preset length and the second preset length are determined by the number of the CCE data.

In some specific embodiments of the present disclosure, performing descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID, including:

performing XOR operation on several of the initial sequences and preset first sequences to obtain several second sequences;

Perform inversion processing on several of the second sequences to obtain several third sequences; wherein, the first sequence is associated with a pseudo-random sequence;

obtaining several initial estimation parameters corresponding to the third sequence;

Judging and verifying the initial estimated parameters to obtain several parameters pdcch-DMRS-ScramblingID.

In some specific embodiments of the present disclosure, the process of judging and verifying the initial estimated parameter to obtain a plurality of the parameters pdcch-DMRS-ScramblingID includes:

Obtain the cell ID of the current cell, and when the initial estimated parameter is less than a preset threshold and greater than the cell ID, determine the corresponding initial estimated parameter as the parameter pdcch-DMRS-ScramblingID, the preset The threshold is associated with the value range of the parameter pdcch-DMRS-ScramblingID.

In a second aspect, an embodiment of the present disclosure further provides an apparatus for obtaining a PDCCH estimation parameter, the apparatus comprising:

a first unit, configured to acquire a 5G air interface signal, and determine physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data;

The second unit is configured to determine the channel polarity value of the PDCCH data, and perform demodulation processing on the PDCCH data according to the channel polarity value to obtain initial bit data; wherein the channel polarity value and channel estimation value related;

A third unit, configured to perform sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain several initial sequences; wherein, the initial sequences are associated with pseudo-random sequences;

The fourth unit is configured to perform descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID.

In a third aspect, an embodiment of the present disclosure further provides a network device, including: a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer During the procedure, the method for obtaining the PDCCH estimation parameter described in the embodiment of the first aspect is implemented.

In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium storing computer-executable instructions, where the computer-executable instructions are used to execute the method for obtaining a PDCCH estimation parameter according to the embodiment of the first aspect.

According to the solution provided by the embodiment of the present disclosure, firstly obtain the 5G air interface signal, then determine the PDCCH data based on the obtained 5G air interface signal; then perform demodulation processing based on the PDCCH data and the channel polarity value to obtain initial bit data; then according to the CCE data The starting position of the initial bit data is subjected to sliding extraction processing to obtain several initial sequences; finally, several initial sequences are descrambled and inverted to obtain several parameters pdcch-DMRS-ScramblingID. All possible parameters pdcch-DMRS-ScramblingID that can be obtained in this embodiment can be used by the PDCCH blind detection process, thereby reducing the amount of calculation and improving the efficiency of PDCCH blind detection.

Other features and advantages of the present disclosure will be set forth in the description that follows, and in part will be apparent from the description, or will be learned by practice of the present disclosure. The objectives and other advantages of the present disclosure may be realized and attained by the structure particularly pointed out in the description, claims and drawings.

Description of drawings

The accompanying drawings are used to provide a further understanding of the technical solutions of the present disclosure, and constitute a part of the specification. They are used to explain the technical solutions of the present disclosure together with the embodiments of the present disclosure, and do not constitute a limitation on the technical solutions of the present disclosure.

1 is a flowchart of a method for obtaining PDCCH estimation parameters provided by an embodiment of the present disclosure;

2 is a flowchart of a method for obtaining PDCCH estimation parameters provided by another embodiment of the present disclosure;

3 is a flowchart of a method for obtaining PDCCH estimation parameters provided by another embodiment of the present disclosure;

4 is a flowchart of a method for obtaining PDCCH estimation parameters provided by another embodiment of the present disclosure;

5 is a specific flowchart of determining PDCCH data in a method for obtaining PDCCH estimation parameters provided by an embodiment of the present disclosure;

6 is a specific flowchart of obtaining initial bit data of a method for obtaining PDCCH estimation parameters provided by another embodiment of the present disclosure;

7 is a specific flowchart of an acquisition initialization sequence of a method for acquiring PDCCH estimation parameters provided by an embodiment of the present disclosure;

FIG. 8 is a specific flowchart of acquiring parameters of a method for acquiring PDCCH estimation parameters provided by an embodiment of the present disclosure;

FIG. 9 is a specific flowchart of acquiring parameters of a method for acquiring PDCCH estimation parameters provided by another embodiment of the present disclosure;

10 is a specific flowchart of a method for obtaining PDCCH estimation parameters provided by an embodiment of the present disclosure;

11 is a schematic structural diagram of an apparatus for obtaining PDCCH estimation parameters provided by an embodiment of the present disclosure;

FIG. 12 is a schematic structural diagram of a network device provided by an embodiment of the present disclosure.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the present disclosure will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present disclosure, but not to limit the present disclosure.

In the description of the present disclosure, the meaning of several is one or more, the meaning of multiple is two or more, greater than, less than, exceeding, etc. are understood as not including this number, above, below, within, etc. are understood as including this number. If it is described that the first and the second are only for the purpose of distinguishing technical features, it cannot be understood as indicating or implying relative importance, or indicating the number of the indicated technical features or the order of the indicated technical features. relation.

In the description of the present disclosure, unless otherwise clearly defined, terms such as setting, installation, and connection should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present disclosure in combination with the specific content of the technical solution.

The present disclosure provides a method, apparatus, network device, and computer-readable storage medium for obtaining PDCCH estimation parameters, obtaining a 5G air interface signal, and determining physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data; perform demodulation processing on the PDCCH data to obtain initial bit data; perform sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain several initial sequences; The initial sequence is descrambled and reversed to obtain the parameter pdcch-DMRS-ScramblingID. Through the above technical solutions, the amount of calculation can be reduced, and the efficiency of blind detection of the PDCCH can be improved.

It should be noted that in the 5G-NR communication system, the Physical Downlink Control Channel (PDCCH, Physical Downlink Control Channel) usually carries the downlink control information (DCI, Downlink Control Information) sent by the base station to the user equipment (UE, User Equipment). The control information specifically includes transmission format, resource allocation, uplink scheduling grant, power control, and uplink retransmission information. Control Channel Element (CCE, Control-ChannelElement) is the basic unit of PDCCH transmission. A PDCCH can be composed of one or more CCEs, such as 1, 2, 4, 8, and 16 CCEs, etc., which constitute the CCEs of the PDCCH. The number of data is called the aggregation level (AL, Aggregation Level). When generating a demodulation reference signal (DMRS, Demodulation Reference Signal) sequence, the parameter pdcch-DMRS-ScramblingID needs to be used. Usually, the parameter pdcch-DMRS-ScramblingID is configured by the high layer. The UE needs to use pdcch-DMRS-ScramblingID and its own wireless network A temporary identity (RNTI, Radio Network Temporary Identity) is blindly checked in the PDCCH candidate set, thereby obtaining downlink control information (Downlink Control Information, DCI).

The PDCCH estimation parameter acquisition method is applied to third-party communication equipment, such as individual soldier equipment, monitoring equipment, and the like. In the process of PDCCH blind detection, channel estimation must be carried out first. In the case of unknown pdcch-DMRS-ScramblingID, this parameter needs to be detected first; Traverse all the values to perform related calculations, and then obtain the corresponding pdcch-DMRS-ScramblingID according to the relevant results obtained by the operation, but the value range of pdcch-DMRS-ScramblingID is 0-65535. If all the values are traversed, it will cause The problem of excessive calculation load affects the efficiency of PDCCH blind detection.

The embodiments of the present disclosure will be further described below with reference to the accompanying drawings.

As shown in FIG. 1 , FIG. 1 is a method for obtaining PDCCH estimation parameters provided by an embodiment of the present disclosure. The method includes but is not limited to step S100, step S200, step S300 and step S400.

Step S100, acquiring a 5G air interface signal, and determining physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data;

Step S200, determining the channel polarity value of the PDCCH data, and performing demodulation processing on the PDCCH data according to the channel polarity value to obtain initial bit data; wherein, the channel polarity value is related to the channel estimation value;

Step S300, performing sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain several initial sequences; wherein, the initial sequences are associated with pseudo-random sequences;

Step S400, performing descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID.

It should be noted that the 5G air interface signal is a signal sent by the base station to the UE, and the 5G air interface signal may include primary synchronization signal, secondary synchronization signal and PDCCH data, etc.; the primary synchronization signal and the secondary synchronization signal are mainly used for tracking synchronization, Since the positions of the primary synchronization signal and the secondary synchronization signal in the frame data are relatively fixed, the starting position of the PDCCH data can be found according to the symbols where the primary synchronization signal and the secondary synchronization signal are located. In the embodiment of the present disclosure, the channel polarity value is related to the channel estimation value. The channel polarity value can be predicted and obtained according to the QPSK modulation mode of the PDCCH symbol, or obtained through the channel estimation process, and there are one or more different values. CCE data is the basic unit of PDCCH transmission, and one PDCCH may contain one or more CCE data, which is determined by the aggregation level of the PDCCH. The parameter pdcch-DMRS-ScramblingID is mainly used to generate the DMRS corresponding to the PDCCH. Usually, blind detection needs to be performed in the PDCCH candidate set according to the pdcch-DMRS-ScramblingID and the RNTI to obtain the DCI downlink control information. Therefore, in this embodiment, the 5G air interface signal is first obtained, and then the PDCCH data is determined based on the obtained 5G air interface signal; then the channel polarity value of the PDCCH data is determined, and the PDCCH data is demodulated according to the channel polarity value to obtain the initial bit. Then, according to the starting position of the CCE data, perform sliding extraction processing on the initial bit data to obtain several initial sequences; finally, perform descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID. The parameter pdcch-DMRS-ScramblingID obtained by this embodiment can be used by the PDCCH blind detection process, thereby reducing the amount of calculation and improving the efficiency of the PDCCH blind detection.

In addition, in an embodiment, as shown in FIG. 2 , there are multiple CCE data, and the first traversal condition is to traverse all the CCE data in the PDCCH data; the above step S400 may also include but not limited to steps S310, S320 and step S330.

Step S310, in the case that the first traversal condition is not met, select new CCE data;

Step S320, according to the starting position of the new CCE data, perform sliding extraction processing on the initial bit data again to obtain several new initialization sequences;

Step S330, performing descrambling and inversion processing on several new initial sequences to obtain several new parameters pdcch-DMRS-ScramblingID.

It should be noted that when the parameter pdcch-DMRS-ScramblingID is obtained by calculation, since the PDCCH data contains multiple CCE data, it is necessary to continue the traversal processing based on other CCE data after the previous CCE data traversal is completed. to obtain the parameter pdcch-DMRS-ScramblingID corresponding to each CCE data. Therefore, if the CCE data in the PDCCH data is not completely traversed, the next CCE data will be selected as the new CCE data to be calculated again to obtain the parameter pdcch-DMRS-ScramblingID related to the new CCE data, until all the All CCE data is traversed. For example, if 4 CCE data are included, it needs to be traversed 4 times to calculate all possible parameters pdcch-DMRS-ScramblingID.

In addition, in an embodiment, as shown in FIG. 3 , there are multiple channel polarity values, and the second traversal condition is to traverse all the channel polarity values. The above step S400 may also include but not limited to steps S410, Step S420 and Step S430.

Step S410, in the case that the second traversal condition is not met, select a new channel polarity value;

Step S420, demodulate the PDCCH data according to the new channel polarity value again to obtain new initial bit data;

Step S430: Perform sliding extraction processing on the new initial bit data according to the starting position of the CCE data to obtain several initial sequences.

It should be noted that when all the channel polarity values have not been traversed, a new channel polarity value will be selected; then, according to the new channel polarity value, the PDCCH data is demodulated to obtain a new channel polarity value. Then, according to the starting position of the CCE data, the new initial bit data is subjected to sliding extraction processing to obtain several initial sequences. The channel polarity value is related to the channel estimation value. The channel polarity value may have many different values. The PDCCH data is demodulated based on different channel polarity values, and different initial bit data will be obtained. When calculating CCE data, there are different possibilities. If there is a channel polarity value H1, a channel polarity value H2, and a channel polarity value H3, first perform demodulation processing according to the channel polarity value H1 to obtain demodulated data (that is, the initial bit data), and then perform demodulation according to the channel polarity value H1. The starting position of the CCE data in the PDCCH data is described, and the subsequent parameter pdcch-DMRS-ScramblingID is calculated for the initial bit data; in the case where the CCE data in the PDCCH data is completely traversed and the channel polarity value is not completely traversed, Re-traverse the channel polarity of the PDCCH data. For example, select the channel polarity value H2 or the channel polarity value H3 as the next channel polarity value for processing, and obtain a new initial value based on the currently traversed channel polarity value H2 or H3. bit data, so as to continue the subsequent calculation processing of the parameter pdcch-DMRS-ScramblingID to obtain a new parameter pdcch-DMRS-ScramblingID.

In addition, in an embodiment, as shown in FIG. 4 , the third traversal condition is that all CCE data in the PDCCH data are completely traversed and all channel polarity values are completely traversed. After the above step S400, it may also include but not limited to Step S440.

Step S440, when the third traversal condition is satisfied, output all parameters pdcch-DMRS-ScramblingID.

It should be noted that in the case where all CCE data in the PDCCH data are completely traversed and all channel polarity values are completely traversed, it will be based on all possible situations (such as the existence of multiple CCE data and multiple channels). In the case of polar values) all the parameters pdcch-DMRS-ScramblingID calculated by the calculation are output and processed, that is, the set of output parameters pdcch-DMRS-ScramblingID, and the subsequent related PDCCH blind detection can use the parameter pdcch-DMRS in this set - ScramblingID performs operations, reduces the calculation range, and greatly reduces the calculation amount, so as to facilitate the completion of the PDCCH blind detection operation and obtain effective DCI information. For example, if there are 3 cases of channel polarity values and 4 cases of CCE data, it is necessary to perform 12 operations of related steps to obtain 12 different pdcch-DMRS-ScramblingID parameter sets and output them.

In addition, in an embodiment, as shown in FIG. 5 , the 5G air interface signal includes a primary synchronization signal and a secondary synchronization signal, and the above-mentioned step S100 may also include, but is not limited to, steps S110 and S120.

Step S110, perform cell search processing according to the primary synchronization signal and the secondary synchronization signal, and determine the cell ID and the starting position information of the data frame;

Step S120: Determine the PDCCH data according to the cell ID and the starting position information of the data frame.

For example, collect 5G air interface signals, parse the primary synchronization signal (Primary Synchronization Signals, PSS) to obtain NID2 (range {0, 1, 2}) and time domain coarse synchronization point, and then analyze the secondary synchronization signal (Secondary Synchronization Signals, SSS) Obtain NID1 (range: {0, 1....335}) and time-domain precise synchronization point. According to the formula PCI=(3×NID1)+NID2, the physical cell ID (Physical Cell Identity, PCI, range of {0) can be obtained. , 1..., 1007}). Since the 5G air interface signal includes the primary synchronization signal and the secondary synchronization signal, and their positions in the data frame are relatively fixed, because the primary synchronization signal and the secondary synchronization signal can be used to obtain the cell ID of the current cell and the starting position of the data frame information, and then determine the PDCCH data according to the cell ID and the starting position information of the data frame.

In addition, in an embodiment, as shown in FIG. 6 , the above-mentioned step S200 may include, but is not limited to, step S210 , step S220 and step S230 .

Step S210, performing time-frequency transformation on the PDCCH data to obtain PDCCH frequency domain data;

Step S220, performing channel equalization processing on the PDCCH frequency domain data to obtain a demodulation reference signal DMRS symbol;

Step S230, performing demodulation processing on the DMRS symbols to obtain initial bit data.

It should be noted that the PDCCH data is first subjected to time-frequency transform to obtain PDCCH frequency domain data, then channel equalization processing is performed on the PDCCH frequency domain data to obtain demodulation reference signal DMRS symbols, and finally the DMRS symbols are demodulated to obtain initial bit data.

For example, according to the frame synchronization position, as well as the time slot and symbol where the PDCCH is located, the PDCCH data can be obtained, and then the time domain data is converted into frequency domain data. Channel equalization is performed according to the characteristic value, and the obtained equalized data is then demodulated. For example, when one RB contains 3 DMRS symbols, the M RBs have a total of 3*M DMRS symbols, and the DMRS symbols are modulated by QPSK, and the conversion into bits is to demodulate each DMRS symbol.

In addition, in an embodiment, as shown in FIG. 7 , the foregoing step S300 may further include, but is not limited to, step S340 , step S350 and step S360 .

Step S340, extracts the first continuous bit data of the first preset length from the initial bit data according to the starting position of the CCE data;

Step S350, performing sliding extraction processing on the first continuous bit data to obtain several second continuous bit data of the second preset length;

Step S360, determining several second continuous bit data as several initial sequences; wherein, the first preset length and the second preset length are determined by the number of CCE data.

It should be noted that, first, according to the starting position of the CCE data, the first continuous bit data of the first preset length is extracted from the initial bit data, and then the first continuous bit data is subjected to sliding extraction processing to obtain several second presets. length of second continuous bit data; finally, several second continuous bit data are determined as several initial sequences.

Exemplarily, starting from the first channel polarity, time-frequency conversion is performed on the PDCCH data of a time slot to obtain frequency domain data, and then equalization and demodulation are performed to obtain initial bit data seq1; starting from CCE starting position 0 , take out the first continuous bit data seq2 of length K from the initial bit data seq1, the value of K is related to the aggregation level, the number of CCE data is related to the aggregation level, the value of K can be an integer multiple of the aggregation level, or That is, the value of K is related to the number of CCE data. In this embodiment, sliding extraction refers to continuously extracting data of a preset length from the data to be processed by stepping. The starting position starts to extract the first continuous bit data with a length of 6, and the first continuous bit data is (a1, a2, a3, a4, a5, a6); then slide to extract the length of L from the first continuous bit data. The second continuous bit data, wherein, when L=3, the second continuous bit data extracted by sliding is (a1, a2, a3), (a2, a3, a4), (a3, a4, a5) and (a4, a5, a6), that is, K-L+1 initial sequences can be obtained.

In addition, in an embodiment, as shown in FIG. 8 , the foregoing step S400 may further include, but is not limited to, step S450 , step S460 , step S470 and step S480 .

Step S450, performing XOR operation on several initial sequences and preset first sequences to obtain several second sequences;

Step S460, performing inversion processing on several second sequences to obtain several third sequences; wherein, the first sequence is associated with the pseudo-random sequence;

Step S470, obtaining several initial estimation parameters corresponding to the third sequence;

Step S480, performing judgment and verification processing on the initial estimated parameters to obtain several parameters pdcch-DMRS-ScramblingID.

It should be noted that, first, perform XOR operation on several initial sequences and preset first sequences to obtain several second sequences; then perform inversion processing on several second sequences to obtain several third sequences; then obtain several initial estimation parameters corresponding to the third sequence; finally, the initial estimation parameters are judged and verified to obtain several parameters pdcch-DMRS-ScramblingID.

Exemplarily, in the first continuous bit data seq2 of length K, traverse K-L+1 times, slide out the second continuous bit data, step 1 bit each time, and obtain K-L+1 length L. The initial sequence of , K-L+1 initial sequences of length L are XORed with the first sequence to obtain K-L+1 second sequences, and the first sequence and the second sequence are related to the pseudo-random sequence. Inversion processing refers to the process of reverse derivation processing. For example, according to the inverse matrix corresponding to the generator matrix of the second sequence, the initialization sequence corresponding to the second sequence is obtained, that is, the possible third sequence. Based on this third sequence, according to The possible pdcch-DMRS-ScramblingID can be obtained by calculating the time slot number and the OFDM symbol number where the PDCCH is located. The parameter pdcch-DMRS-ScramblingID obtained at this time may exceed the range of the actual parameter pdcch-DMRS-ScramblingID. For example, in the 5G communication system, the value range of pdcch-DMRS-ScramblingID is 0～65535, so if this If the parameter value is greater than 65535, it can be seen that the currently obtained parameter pdcch-DMRS-ScramblingID is wrong and can be discarded; if the value is less than 65535 and greater than the cell ID, the current obtained parameter pdcch-DMRS-ScramblingID can be saved after verification; After K-L+1 calculations are completed, possible values are screened out from the parameters pdcch-DMRS-ScramblingID corresponding to the K-L+1 initial sequences.

Exemplarily, in a 5G communication system, the DMRS sequence and the scrambling sequence are usually generated by a PN (Pseudo-Noise Code) sequence, and the PN sequence is generated by a first sequence X1 and a second sequence X2, wherein the initialization sequence of the first sequence X1 The generation method of each bit is fixed; the initialization sequence of the second sequence X2 is related to pdcch-DMRS-ScramblingID. If the initialization sequence of the second sequence X2 can be calculated, the pdcch-DMRS-ScramblingID can be calculated.

Further, in the 5G communication system, the DMRS sequence generation formula is as follows:

Among them, l represents the symbol sequence number in the time slot, m represents the sequence length, c is the pseudo-random sequence (Gold sequence of length 31), and the formula for generating the c sequence is as follows:

c(n)=(x ₁ (n+ _NC )+x ₂ (n+ _NC ))mod2

x ₁ (n+31)=(x ₁ (n+3)+x ₁ (n))mod2

x ₂ (n+31)=(x ₂ (n+3)+x ₂ (n+2)+x ₂ (n+1)+x ₂ (n))mod2

来计算得到。Among them, N _c is a constant; x ₁ (n) represents the first sequence X1, which is calculated by x ₁ (0)=1, x ₁ (n)=0, n=1,2,...,30 Obtained; x ₂ (n) characterizes the second sequence X2, which is represented by

to be calculated.

In the 5G communication system, the method of c _init (the second sequence X2 sequence initialization) is as follows:

表示一个时隙包含的OFDM符号个数，在某一子载波间隔下是固定值；

表示PDCCH所在的时隙编号；l表示PDCCH所在的OFDM符号编号；N_ID即pdcch-DMRS-ScramblingID。Among them, in the above formula:

Indicates the number of OFDM symbols contained in a time slot, which is a fixed value under a certain subcarrier interval;

Indicates the slot number where the PDCCH is located; 1 represents the OFDM symbol number where the PDCCH is located; N _ID is pdcch-DMRS-ScramblingID.

Therefore, after calculating c _init , it is converted into a 31-bit sequence, that is, an initialization sequence corresponding to the second sequence X2 can be obtained. Based on the obtained initialization sequence of the second sequence X2, the parameter pdcch-DMRS-ScramblingID can be calculated.

In addition, in an embodiment, as shown in FIG. 9 , the above-mentioned step S440 may further include, but is not limited to, step S441.

Step S441: Obtain the cell ID of the current cell, and determine the corresponding initial estimation parameter as the parameter pdcch-DMRS-ScramblingID when the initial estimation parameter is smaller than the preset threshold and larger than the cell ID.

It should be noted that the cell ID of the current cell can be calculated based on the above step S110, and when the initial estimated parameter is less than the preset threshold and greater than the cell ID, the corresponding initial estimated parameter is determined as the parameter pdcch-DMRS-ScramblingID. The preset threshold is associated with the value range of the parameter pdcch-DMRS-ScramblingID.

In order to more clearly describe the process of the method for obtaining the PDCCH estimation parameter provided by the embodiment of the present invention, a specific example is used for description below.

As shown in Figure 10, during cell search, the primary synchronization signal PSS and the secondary synchronization signal SSS are used to complete downlink timing synchronization. Since the positions of the PSS and SSS signals in the frame data are relatively fixed, the frame data can be found according to the symbols of the PSS and SSS. the starting position and current cell ID. Continuously acquire the 5G air interface signal, determine the PDCCH data of the physical downlink control channel based on the 5G air interface signal, perform time-frequency conversion on the PDCCH data of a time slot to obtain frequency domain data, and then according to the frame synchronization position, and the time slot where the PDCCH is located , symbol, obtain PDCCH data, and then convert the time domain data into frequency domain data, that is, time-frequency conversion of PDCCH data. Then, starting from the first channel polarity value, equalization processing and demodulation processing are performed, that is, channel estimation processing is performed by traversing the channel polarity value. The demodulation process is related to the DMRS symbol demodulation process. All 3*M DMRS symbols are extracted from the PDCCH frequency domain data and converted into initial bit data seq1. Then start from the CCE starting position 0, that is, traverse all the CCE starting positions, take out the data according to the CCE position, and take out the first continuous bit data seq2 of K bits from the initial bit data seq1, and the value of K is related to the aggregation level. Then in the first continuous bit data seq2, traverse K-L+1 times, slide out several second continuous bit data of length L, the obtained second continuous bit data and the relevant first sequence X1 XOR obtain The possible second sequence X2 sequence, and then according to the inverse matrix corresponding to the generation matrix of the second sequence X2 sequence, the possible second sequence X2 initialization sequence is obtained, and then the NID is calculated according to the time slot number and the OFDM symbol number where the PDCCH is located. value to obtain the parameter pdcch-DMRS-ScramblingID, if the value is less than 65535 and greater than the cell ID, the verification is passed and the value is saved. Otherwise, discard it until K-L+1 traversals are completed. When judging whether the CCE position has been traversed or not, it continues to traverse the starting position of the next CCE until all CCE data are traversed. When judging whether the channel polarity value has been traversed or not, continue to traverse the next channel polarity value, perform DMRS symbol demodulation processing based on the new channel polarity value and the related steps of subsequent calculation of the parameter pdcch-DMRS-ScramblingID, until the traversal Complete all channel polarity values. Finally, output all calculated NIDs, that is, output all calculated parameters pdcch-DMRS-ScramblingID.

As shown in FIG. 11 , another embodiment of the present disclosure provides an apparatus 1000 for obtaining PDCCH estimation parameters. The apparatus includes:

A first unit 1100, configured to acquire a 5G air interface signal, and determine physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data;

The second unit 1200 is configured to determine the channel polarity value of the PDCCH data, and perform demodulation processing on the PDCCH data according to the channel polarity value to obtain initial bit data; wherein, the channel polarity value is related to the channel estimation value;

The third unit 1300 is configured to perform sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain several initial sequences; wherein, the initial sequences are associated with pseudo-random sequences;

The fourth unit 1400 is configured to perform descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID.

It should be noted that the 5G air interface signal is a signal sent by the base station to the UE, and the 5G air interface signal may include primary synchronization signal, secondary synchronization signal and PDCCH data, etc.; the primary synchronization signal and the secondary synchronization signal are mainly used for tracking synchronization, Since the positions of the primary synchronization signal and the secondary synchronization signal in the frame data are relatively fixed, the starting position of the PDCCH data can be found according to the symbols where the primary synchronization signal and the secondary synchronization signal are located. In the embodiment of the present disclosure, the channel polarity value is related to the channel estimation value. The channel polarity value can be predicted and obtained according to the QPSK modulation mode of the PDCCH symbol, or obtained through the channel estimation process, and there are one or more different values. CCE data is the basic unit of PDCCH transmission, and one PDCCH may contain one or more CCE data, which is determined by the aggregation level of the PDCCH. The parameter pdcch-DMRS-ScramblingID is mainly used to generate the DMRS corresponding to the PDCCH. Usually, blind detection needs to be performed in the PDCCH candidate set according to the pdcch-DMRS-ScramblingID and the RNTI to obtain the DCI downlink control information. Therefore, in this embodiment, the first unit 1100 is used to obtain the 5G air interface signal, and then the PDCCH data is determined based on the obtained 5G air interface signal; then the second unit 1200 is used to determine the channel polarity value of the PDCCH data, and according to the channel polarity value, Demodulate the PDCCH data to obtain initial bit data; then use the third unit 1300 to perform sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain several initial sequences; finally use the fourth unit 1400 to The sequence is descrambled and reversed to obtain several parameters pdcch-DMRS-ScramblingID. The parameter pdcch-DMRS-ScramblingID obtained by this embodiment can be used by the PDCCH blind detection process, thereby reducing the amount of calculation and improving the efficiency of the PDCCH blind detection.

Optionally, there are multiple CCE data, and the first traversal condition is to traverse all the CCE data in the PDCCH data; the fourth unit 1400 performs descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS -After ScramblingID, the third unit 1300 further includes: in the case where the first traversal condition is not satisfied, select new CCE data; according to the starting position of the new CCE data, perform sliding extraction processing on the initial bit data again Several new initial sequences are obtained; the fourth unit 1400 performs descrambling and inversion processing on several new initial sequences to obtain several new parameters pdcch-DMRS-ScramblingID.

Optionally, there are multiple channel polarity values, and the second traversal condition is to traverse all the channel polarity values; the fourth unit 1400 performs descrambling and inversion processing on several initial sequences to obtain several parameters pdcch- After the DMRS-ScramblingID, the second unit 1200 further includes: in the case where the second traversal condition is not met, select a new channel polarity value; re-demodulate the PDCCH data according to the new channel polarity value Obtain new initial bit data; the third unit 1300 performs sliding extraction processing on the new initial bit data according to the starting position of the CCE data to obtain several initial sequences.

Optionally, the third traversal condition is that all CCE data in the PDCCH data are completely traversed and all channel polarities are completely traversed, and the fourth unit 1400 performs descrambling and inversion processing on several initial sequences to obtain several parameters. After pdcch-DMRS-ScramblingID, the fourth unit 1400 further includes: in the case that the third traversal condition is satisfied, output all parameters pdcch-DMRS-ScramblingID.

Optionally, in the step of demodulating the PDCCH data to obtain initial bit data, the second unit 1200 includes: performing time-frequency transform on the PDCCH data to obtain PDCCH frequency domain data; performing channel equalization processing on the PDCCH frequency domain data to obtain a solution. Adjust the reference signal DMRS symbol; perform demodulation processing on the DMRS symbol to obtain initial bit data.

Optionally, the third unit 1300, in the step of performing sliding extraction processing on the initial bit data to obtain several initial sequences according to the starting position of the CCE data, includes: extracting from the initial bit data according to the starting position of the CCE data. The first continuous bit data of the first preset length; the sliding extraction process is performed on the first continuous bit data to obtain several second continuous bit data of the second preset length; the several second continuous bit data are determined as several initial sequence; wherein, the first preset length and the second preset length are determined by the number of CCE data.

Optionally, in the step of performing descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID, the fourth unit 1400 includes: differentiating several initial sequences from a preset first sequence. OR operation to obtain several second sequences; invert several second sequences to obtain several third sequences; wherein, the first sequence is associated with the pseudo-random sequence; obtain the initial estimation parameters corresponding to several third sequences; Judging and verifying the initial estimated parameters to obtain several parameters pdcch-DMRS-ScramblingID. Specifically, in the step of obtaining several parameters pdcch-DMRS-ScramblingID by judging and verifying the initial estimated parameter, the step includes: acquiring the cell ID of the current cell, and when the initial estimated parameter is less than a preset threshold and greater than the cell ID, The corresponding initial estimation parameter is determined as the parameter pdcch-DMRS-ScramblingID, and the preset threshold is associated with the value range of the parameter pdcch-DMRS-ScramblingID.

It should be noted that, since the apparatus 1000 for obtaining PDCCH estimation parameters in this embodiment and the method for obtaining PDCCH estimation parameters in the above embodiments are based on the same inventive concept, the corresponding contents and beneficial effects in the method embodiments are also applicable to this embodiment. The system embodiment will not be repeated here.

In addition, as shown in FIG. 12, an embodiment of the present disclosure further provides a network device 700, including: a memory 720, a processor 710, and a computer program stored in the memory 720 and executable on the processor 710, processing When the computer 710 executes the computer program, the PDCCH estimation parameter acquisition method in the above-mentioned embodiment is implemented, for example, the above-described method steps S100 to S400 in FIG. Method steps S410 to S430, method steps S440 in Figure 4, method steps S110 to S120 in Figure 5, method steps S210 to S230 in Figure 6, method steps S340 to S360 in Figure 7, Figure 8 The method steps S450 to S480 in FIG. 9 , and the method step S441 in FIG. 9 .

In addition, an embodiment of the present disclosure also provides a computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being executed by a processor or controller, for example, by the above-mentioned Executed by a processor in the device embodiment, the above-mentioned processor can execute the method for obtaining PDCCH estimation parameters in the above-mentioned embodiment, for example, execute the method steps S100 to S400 in FIG. 1 and the method steps in FIG. 2 described above. S310 to S330, method steps S410 to S430 in FIG. 3, method step S440 in FIG. 4, method steps S110 to S120 in FIG. 5, method steps S210 to S230 in FIG. Method steps S340 to S360 , method steps S450 to S480 in FIG. 8 , method step S441 in FIG. 9 .

Those of ordinary skill in the art can understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile implemented in any method or technology for storage of information, such as computer readable instructions, element structures, program modules or other elements flexible, removable and non-removable media. Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or may Any other medium used to store desired information and which can be accessed by a computer. Furthermore, communication media typically embodies computer readable instructions, element structures, program modules, or other elements in a modulated element signal such as a carrier wave or other transport mechanism, and can include any information delivery medium, as is well known to those of ordinary skill in the art .

The above is a specific description of the preferred implementation of the present disclosure, but the present disclosure is not limited to the above-mentioned embodiments, and those skilled in the art can make various equivalent deformations or replacements without departing from the spirit of the present disclosure. Equivalent modifications or substitutions are included within the scope defined by the claims of the present disclosure.

Claims (11)

1. A method for obtaining PDCCH estimation parameters, wherein the method comprises: acquiring a 5G air interface signal, and determining physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data; determining a channel polarity value of the PDCCH data, and performing demodulation processing on the PDCCH data according to the channel polarity value to obtain initial bit data; wherein the channel polarity value is related to a channel estimation value; According to the starting position of the CCE data, a sliding extraction process is performed on the initial bit data to obtain several initial sequences; wherein, the initial sequences are associated with pseudo-random sequences; Perform descrambling and inversion processing on several of the initial sequences to obtain several parameters pdcch-DMRS-ScramblingID. 2. The method for obtaining PDCCH estimation parameters according to claim 1, wherein the CCE data is multiple, and the first traversal condition is to traverse all the CCE data in the PDCCH data; After performing descrambling and inversion processing on several of the initial sequences, after obtaining several parameters pdcch-DMRS-ScramblingID, it also includes: In the case that the first traversal condition is not met, select new CCE data; According to the starting position of the new CCE data, perform sliding extraction processing on the initial bit data again to obtain several new initial sequences; Perform descrambling and inversion processing on several new initial sequences to obtain several new parameters pdcch-DMRS-ScramblingID. 3. The method for obtaining PDCCH estimation parameters according to claim 1, wherein the channel polarity values are multiple, and the second traversal condition is to traverse all the channel polarity values; After performing descrambling and inversion processing on the initial sequences to obtain several parameters pdcch-DMRS-ScramblingID, it also includes: In the case that the second traversal condition is not met, select a new value of the channel polarity; Perform demodulation processing on the PDCCH data again according to the new channel polarity value to obtain new initial bit data; According to the starting position of the CCE data, a sliding extraction process is performed on the new initial bit data to obtain several initial sequences. 4. The method for obtaining PDCCH estimation parameters according to claim 2 or 3, wherein the third traversal condition is that all the CCE data in the PDCCH data are completely traversed and all the channel polarities are completely traversed After traversing, performing descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID, it also includes: When the third traversal condition is satisfied, all the parameters pdcch-DMRS-ScramblingID are output. 5 . The method for obtaining PDCCH estimation parameters according to claim 1 , wherein, performing demodulation processing on the PDCCH data to obtain initial bit data, comprising: 6 . performing time-frequency transform on the PDCCH data to obtain PDCCH frequency domain data; performing channel equalization processing on the PDCCH frequency domain data to obtain demodulation reference signal DMRS symbols; The initial bit data is obtained by demodulating the DMRS symbols. 6. The method for obtaining PDCCH estimation parameters according to claim 1, wherein, according to the starting position of the CCE data, performing sliding extraction processing on the initial bit data to obtain several initial sequences, including: According to the starting position of the CCE data, extract the first continuous bit data of the first preset length from the initial bit data; Perform sliding extraction processing on the first continuous bit data to obtain several second continuous bit data of a second preset length; Several pieces of the second continuous bit data are determined as several pieces of the initial sequence; wherein, the first preset length and the second preset length are determined by the number of the CCE data. 7. The method for obtaining PDCCH estimation parameters according to claim 1, wherein, performing descrambling and inversion processing on several of the initial sequences to obtain several parameters pdcch-DMRS-ScramblingID, comprising: performing XOR operation on several of the initial sequences and preset first sequences to obtain several second sequences; Perform inversion processing on several of the second sequences to obtain several third sequences; wherein, the first sequence is associated with a pseudo-random sequence; obtaining several initial estimation parameters corresponding to the third sequence; Judging and verifying the initial estimated parameters to obtain several parameters pdcch-DMRS-ScramblingID. 8. The method for obtaining PDCCH estimation parameters according to claim 7, characterized in that, performing judgment and verification processing on the initial estimation parameters to obtain a plurality of the parameters pdcch-DMRS-ScramblingID, comprising: Obtain the cell ID of the current cell, and when the initial estimated parameter is less than a preset threshold and greater than the cell ID, determine the corresponding initial estimated parameter as the parameter pdcch-DMRS-ScramblingID, the preset The threshold is associated with the value range of the parameter pdcch-DMRS-ScramblingID. 9. An apparatus for obtaining PDCCH estimation parameters, wherein the apparatus comprises: a first unit, configured to acquire a 5G air interface signal, and determine physical downlink control channel PDCCH data based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data; The second unit is configured to determine the channel polarity value of the PDCCH data, and perform demodulation processing on the PDCCH data according to the channel polarity value to obtain initial bit data; wherein the channel polarity value and channel estimation value related; A third unit, configured to perform sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain several initial sequences; wherein, the initial sequences are associated with pseudo-random sequences; The fourth unit is configured to perform descrambling and inversion processing on several initial sequences to obtain several parameters pdcch-DMRS-ScramblingID. 10. A network device, comprising: a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the computer program as claimed in claims 1 to 8 when the processor executes the computer program The PDCCH estimation parameter acquisition method described in any one of the above. 11 . A computer-readable storage medium storing computer-executable instructions, the computer-executable instructions being used to execute the method for obtaining a PDCCH estimation parameter according to any one of claims 1 to 8 .

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