CN115051774A - PDCCH channel blind solution NID method and device in NR system - Google Patents
PDCCH channel blind solution NID method and device in NR system Download PDFInfo
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Abstract
A method and a device for blindly resolving an NID (non-index) by a PDCCH (physical Downlink control channel) in an NR (noise-and-noise) system comprise the following steps: firstly, acquiring configuration parameters of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level and a preset NID search range; extracting a DMRS sequence of a PDCCH frequency domain under the corresponding aggregation level according to the configuration parameters and the aggregation level; determining an NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID search range and the PDCCH candidate set; performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified; then, calculating the power sum corresponding to each NID to be verified under the aggregation level according to the correlation operation sequence; and finally, determining the effective NID for blind detection according to the power and the NID set to be verified, so that the accuracy of NID detection can be improved, the occupied hardware resource is small, the implementation is easy, and the false detection rate of PDCCH blind detection is reduced.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for blind decoding NID on a PDCCH channel in an NR system.
Background
In 5G NR, a cell base station transmits DCI (downlink control information) to a UE side through a PDCCH (physical downlink control channel) for scheduling one or more UE (user equipment) resource allocation information, modulation and coding schemes, retransmission information, and the like in uplink and downlink shared channel communication. In the existing NID detection method, channel estimation operation is performed by using a local DMRS and received DMRS information, an SNR (signal to noise ratio) value of each possible DMRS sequence is estimated, an NID corresponding to the maximum SNR is found as an estimated NID value of a current PDCCH candidate set, and correlation operation is performed on the DMRS sequence corresponding to the estimated NID value and the entire PDCCH candidate set to determine whether the estimated NID value is valid, so as to reduce the NID detection range. However, in practice, the existing method for searching effective NID has the disadvantages of high operation complexity, low detection accuracy and low blind detection efficiency, and is not beneficial to hardware implementation. Therefore, the existing method has high operation complexity and low detection accuracy, thereby reducing the blind detection efficiency.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for blindly resolving a NID on a PDCCH channel in an NR system, which can improve the accuracy of NID detection, occupy less hardware resources, are easy to implement, and reduce the false detection rate of PDCCH blind detection.
A first aspect of an embodiment of the present application provides a method for blind PDCCH channel solution NID in an NR system, including:
acquiring configuration parameters of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level and a preset NID search range;
extracting a DMRS sequence corresponding to a PDCCH frequency domain under the aggregation level according to the configuration parameters and the aggregation level;
determining an NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID searching range and the PDCCH candidate set;
performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified;
calculating the power sum corresponding to each NID to be verified under the aggregation level according to the correlation operation sequence;
and determining a valid NID for blind detection from the NID set to be verified according to the power.
In the implementation process, firstly, acquiring configuration parameters of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level and a preset NID search range; extracting a DMRS sequence of a PDCCH frequency domain under the corresponding aggregation level according to the configuration parameters and the aggregation level; determining an NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID search range and the PDCCH candidate set; performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified; then, calculating the power sum corresponding to each NID to be verified under the aggregation level according to the correlation operation sequence; and finally, determining the effective NID for blind detection according to the power and the NID set to be verified, so that the accuracy of NID detection can be improved, the occupied hardware resource is small, the implementation is easy, and the false detection rate of PDCCH blind detection is reduced.
Further, extracting the DMRS sequence corresponding to the PDCCH frequency domain at the aggregation level according to the configuration parameter and the aggregation level includes:
determining a first position of the PDCCH candidate set in a frequency domain according to the configuration parameter;
and extracting the DMRS sequences corresponding to the PDCCH frequency domain under the aggregation level according to the PDCCH candidate set and the first position.
Further, determining a NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID search range and the PDCCH candidate set, including:
determining a second position of the PDCCH candidate set in a time domain according to the configuration parameter;
determining an NID set to be verified according to the NID searching range;
and generating a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the PDCCH candidate set and the second position.
Further, calculating a power sum corresponding to each NID to be verified under the aggregation level according to the correlation operation sequence, including:
zero padding processing is carried out on the correlation operation sequence to obtain a zero padding sequence corresponding to each NID to be verified;
performing frequency-time conversion processing on the zero padding sequence to obtain a time domain sequence corresponding to each NID to be verified;
performing time domain selection processing on the time domain sequence to obtain a selection result pair corresponding to each NID to be verified, wherein the selection result pair comprises the maximum value of the time domain sequence and the second maximum value of the time domain sequence;
and calculating the power sum corresponding to each NID to be verified under the aggregation level according to the selection result pair.
Further, determining a valid NID for blind detection from the set of NIDs to be verified according to the power, including:
the maximum power and the corresponding NID to be verified are determined as the blind validation NID.
Further, the method further comprises:
acquiring a time domain sequence corresponding to the blind test valid NID, a CCE frequency domain data candidate set under the aggregation level and a preset RNTI value candidate set;
performing equalization operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set;
analyzing and checking the frequency domain data candidate set to obtain a checking result corresponding to each CCE frequency domain data in the CCE frequency domain data candidate set;
determining a target RNTI value corresponding to each CCE frequency domain data from the RNTI value candidate set according to the checking result;
and analyzing DCI information of the user terminal corresponding to each CCE frequency domain data according to the target RNTI value and the blind test effective NID.
Further, performing equalization operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set, including:
screening the time domain sequence to obtain a screened sequence;
carrying out zero insertion treatment on the screening sequence to obtain a zero insertion sequence;
performing frequency-time conversion processing on the zero insertion sequence to obtain a conversion sequence;
and carrying out equalization operation on the CCE frequency domain data candidate set by using the transformation sequence to obtain a frequency domain data candidate set.
A second aspect of the present application provides a PDCCH channel blind NID decoding apparatus in an NR system, where the PDCCH channel blind NID decoding apparatus in the NR system includes:
an obtaining unit, configured to obtain a configuration parameter of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level, and a preset NID search range;
an extracting unit, configured to extract, according to the configuration parameter and the aggregation level, a DMRS sequence corresponding to a PDCCH frequency domain at the aggregation level;
a first determining unit, configured to determine, according to the NID search range and the PDCCH candidate set, a NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified;
the first computing unit is used for performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified;
a second calculating unit, configured to calculate, according to the correlation operation sequence, a power sum corresponding to each NID to be verified at the aggregation level;
and the second determining unit is used for determining the valid NID for blind detection from the NID set to be verified according to the power.
In the implementation process, an obtaining unit first obtains configuration parameters of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level, and a preset NID search range; the extraction unit extracts the DMRS sequence of the PDCCH frequency domain under the corresponding aggregation level according to the configuration parameters and the aggregation level; the first determining unit determines the NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID searching range and the PDCCH candidate set; the first computing unit performs correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified; then the second computing unit computes the power sum corresponding to each NID to be verified under the aggregation level according to the correlation operation sequence; and finally, the second determining unit determines the effective NID for blind detection according to the power and the NID set to be verified, so that the accuracy of NID detection can be improved, the occupied hardware resource is small, the implementation is easy, and the false detection rate of PDCCH blind detection is reduced.
A third aspect of embodiments of the present application provides an electronic device, including a memory and a processor, where the memory is configured to store a computer program, and the processor runs the computer program to enable the electronic device to perform the PDCCH channel blind solution NID method in an NR system according to any of the first aspect of the embodiments of the present application.
A fourth aspect of the present embodiment provides a computer-readable storage medium, which stores computer program instructions, which when read and executed by a processor, perform the method for blind PDCCH channel solution NID in an NR system according to any of the first aspect of the present embodiment.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flowchart of a PDCCH channel blind NID solution method in an NR system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a PDCCH channel blind NID apparatus in an NR system according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a blind downlink control channel NID detection process according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a downlink control channel equalization process according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for blind PDCCH channel NID solution in an NR system according to an embodiment of the present disclosure. The PDCCH channel blind NID solving method in the NR system comprises the following steps:
s101, obtaining configuration parameters of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level and a preset NID search range.
In the embodiment of the present application, according to the configuration parameter, the second position of the PDCCH candidate set corresponding to the aggregation level in the time domain and the first position of the PDCCH candidate set corresponding to the aggregation level in the frequency domain may be determined.
In this embodiment of the present application, the obtained preset NID search range is defined as K.
In the embodiment of the application, the method is applied to the condition that the NID of the UE end is unknown in the PDCCH blind detection scene of the NR system, and the blind detection is carried out on the NID, so that the subsequent PDCCH demodulation process is carried out through the effective NID which is detected blindly, and the DCI information is finally detected blindly. Instead of generating a local PDCCH DMRS sequence, the sequence is generated for blind NID detection and then physical layer processes such as channel estimation and descrambling.
In the embodiment of the application, the method performs blind detection on the PDCCH under the condition that the PDCCH-DMRS-ScramblingID parameter of the UE-dedicated search space is not acquired, detects the unknown NID in advance, can perform blind detection on the NID before the PDCCH blind detection, has a large detection range of the NID and the RNTI, and can be applied to non-low-delay communication scenes.
In the embodiment of the application, the method can detect the effective NID in a blind manner under the condition that the NID is unknown, and then carry out the subsequent process. In the prior art, when PDCCH blind detection is carried out, most equipment NID are known, and NID blind detection is not needed.
And S102, extracting the DMRS sequences of the PDCCH frequency domain under the corresponding aggregation level according to the configuration parameters and the aggregation level.
In the embodiment of the application, the PDCCH frequency domain DMRS sequence Y under the corresponding aggregation level can be extracted dmrs Is defined as [ Y 0 ,Y 1 ,...,Y M-1 ]And M is the length of the DMRS sequence corresponding to the CCE under the current aggregation level.
As an optional implementation manner, extracting, according to the configuration parameter and the aggregation level, a DMRS sequence corresponding to a PDCCH frequency domain at the aggregation level includes:
determining a first position of a PDCCH candidate set in a frequency domain according to the configuration parameters;
and extracting the DMRS sequence corresponding to the PDCCH frequency domain under the aggregation level according to the PDCCH candidate set and the first position.
S103, determining the NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID search range and the PDCCH candidate set.
As an optional implementation manner, determining, according to the NID search range and the PDCCH candidate set, a set of NIDs to be verified and a local DMRS sequence corresponding to each NID to be verified in the set of NIDs to be verified, includes:
determining a second position of the PDCCH candidate set in a time domain according to the configuration parameters;
determining an NID set to be verified according to the NID searching range;
and generating a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the PDCCH candidate set and the second position.
In the embodiment of the application, 1 NID value in a preset NID search range K is taken according to the order from small to large, and a local DMRS sequence X is generated at a second position in the time domain according to the taken NID value and a PDCCH candidate set respectively dmrs Is defined as [ X ] 0 ,X 1 ,...,X M-1 ]。
In the embodiment of the present application, NID values included in the preset NID search range K are integers, and when the number of included NID values is greater than or equal to 2, all included NID values are consecutive integers.
And S104, performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified.
In the embodiment of the application, received Y dmrs Sequences and locally generated X dmrs The sequence is subjected to correlation operation, specifically, the formula for performing correlation operation is as follows:
wherein the content of the first and second substances,
for local DMRS sequence X dmrs A conjugated sequence of (A), H dmrs Is defined as [ H ] for the sequence of correlation operations 0 ,H 1 ,...,H M-1 ]。
And S105, performing zero filling processing on the correlation operation sequence to obtain a zero filling sequence corresponding to each NID to be verified.
In the embodiment of the present application, for H dmrs Zero filling is carried out on the sequence to obtain a sequence H + Is defined as [ H ] 0 ,H 1 ,...,H M-1 ,0,...0]H after zero padding + The sequence length is N, and the length of the filled zero value meets the condition: so that the sequence H + Length N of 2 n And N is the smallest natural number satisfying that N is greater than or equal to M.
And S106, performing frequency-time conversion processing on the zero padding sequence to obtain a time domain sequence corresponding to each NID to be verified.
In the embodiment of the present application, H may be converted by IDFT (inverse discrete fourier transform) + Converting into time domain to generate time domain sequence h + Is defined as [ h ] 0 ,h 1 ,...,h N-1 ]And the length is N.
S107, time domain selection processing is carried out on the time domain sequences to obtain a selection result pair corresponding to each NID to be verified, and the selection result pair comprises the maximum value of the time domain sequences and the second maximum value of the time domain sequences.
In the embodiment of the present application, step S107 is implemented to implement h + And (5) performing time domain selection. Specifically, the sequence h is first calculated + Modulus squared value of | h + | 2 To obtain the sequence [ | h 0 | 2 ,|h 1 | 2 ,...,|h N-1 | 2 ]Then, the maximum value and the second maximum value of the sequence are obtained, the search range is i ∈ {0, 1., N/4-1,3 × N/4., N-1}, and the maximum value of the range is corresponding to h + Is marked as h a H corresponding to the next largest value + Is marked as h b Then the obtained selection result pair includes h a And h b 。
And S108, calculating the power sum corresponding to each NID to be verified under the aggregation level according to the selected result pair.
In the embodiment of the application, according to h a And h b The formula for calculating the power sum is:
P nIDj ＝(|h a | 2 +|h b | 2 )/2；
wherein, P nIDj Represents the sum of the powers calculated by the jth NID corresponding to the current CCE at the corresponding aggregation level, where j e { 0.
As an optional implementation manner, it is determined whether the sum of the calculated powers of the NID ranges corresponding to the CCEs at the corresponding aggregation level is calculated, and if not, the process returns to step S103, and repeats step S103 to step S108, and if the calculation is completed, step S109 is executed.
In this embodiment, by implementing the steps S105 to S108, the power sum corresponding to each NID to be verified at the aggregation level can be calculated according to the correlation operation sequence.
S109, determining the maximum power and the corresponding NID to be verified as the valid NID for blind inspection.
In the embodiment of the application, all powers corresponding to the current CCE under the corresponding aggregation level are compared with P nIDj ，P nIDj The jth NID corresponding to the maximum value is a valid NID detected in a blind mode.
In this embodiment, the step S109 is implemented, and a valid NID can be determined by blind inspection from the NID set to be verified according to the power sum.
In the embodiment of the application, correlation operation is carried out by using the local DMRS sequence and the received DMRS, zero padding is carried out on the frequency domain correlation operation sequence, and the length of the padded zero value meets the requirement of enabling the sequence H to be in sequence H + Length N of equal to 2 n And N is the minimum natural number which satisfies that N is larger than or equal to the length of the original frequency domain sequence, then inverse discrete Fourier transform is carried out, and h after the transform is carried out + Calculate the modulo square value | h + | 2 For | h according to the range i ∈ {0,1,. N/4-1,3 x N/4,. N-1} + | 2 Time domain screening is carried out, and the screened maximum power | h a | 2 And the next largest value | h b | 2 Summing to obtain power sum P corresponding to current blind detection NID nIDj And traversing and comparing the power sum of all the NIDs to be blind-tested corresponding to the CCE under the current aggregation level, wherein the NID corresponding to the maximum value of the power sum is an effective NID.
S110, acquiring a time domain sequence corresponding to the blind test valid NID, a CCE frequency domain data candidate set under the aggregation level and a preset RNTI value candidate set.
And S111, performing equalization operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set.
As an optional implementation manner, performing an equalization operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set, includes:
screening the time domain sequence to obtain a screened sequence;
carrying out zero insertion treatment on the screening sequence to obtain a zero insertion sequence;
performing frequency-time conversion processing on the zero-insertion sequence to obtain a conversion sequence;
and carrying out equalization operation on the CCE frequency domain data candidate set by using the transform sequence to obtain a frequency domain data candidate set.
In the above embodiment, h corresponds to a valid NID + Screening to obtain a screening sequence h - Is defined as [ h 0 ,..,h N/4-1 ,h 3*N/4-1 ,..,h N-1 ]To h is aligned with - Performing zero insertion operation, and performing zero insertion sequence h after zero insertion l To determineIs defined as 0 ,..,h N/4-1 ,0,...,0,h 3*N/4-1 ,..,h N-1 ]And the length L is the number of frequency domain subcarriers contained in the current CCE under the corresponding aggregation level.
In the above embodiments, for h l DFT (discrete Fourier transform) is carried out to obtain a transform sequence H l Is defined as [ H ] l0 ,H l1 ,...,H l0 ,H lL-1 ]By means of H l And carrying out equalization operation on the current CCE frequency domain data under the corresponding aggregation level.
In the embodiment of the present application, the time domain sequence h + Screening is carried out, wherein the screening range is front N/4 length samples and rear N/4 length samples of the time domain sequence, zero values are filled in the rest parts, and a zero insertion sequence h is obtained l Is defined as [ h ] 0 ,..,h N/4-1 ,0,...,0,h 3*N/4-1 ,..,h N-1 ]Then to h l DFT (discrete Fourier transform) transformation is carried out to obtain a sequence H l By means of H l And carrying out equalization operation on the current CCE frequency domain data under the corresponding aggregation level so as to improve the accuracy of subsequent operation.
And S112, analyzing and checking the frequency domain data candidate set to obtain a checking result corresponding to each CCE frequency domain data in the CCE frequency domain data candidate set.
In the embodiment of the application, the frequency domain data candidate set is subjected to analysis and check processing, that is, the frequency domain data is subjected to soft demodulation, descrambling, rate de-matching, POLAR decoding and CRC check processing to obtain a check result.
S113, determining a target RNTI value corresponding to each CCE frequency domain data from the RNTI value candidate set according to the checking result.
In the embodiment of the application, all candidate RNTI values in the RNTI value candidate set are traversed, the check result is matched with each candidate RNTI value, whether CRC check is correct or not is judged, when the CRC check is correct, the current candidate RNTI value is obtained, and the candidate RNTI value is determined as the target RNTI value.
And S114, analyzing DCI information of the user terminal corresponding to each CCE frequency domain data according to the target RNTI value and the blind test effective NID.
As an optional implementation manner, it is determined whether all CCE candidate sets in the corresponding aggregation level have been calculated, and if so, the aggregation level is adjusted, and step S102 to step S114 are repeated until all the aggregation levels have been calculated; otherwise, step S103 to step S114 are executed until all CCE candidate sets at the current aggregation level are calculated.
In the embodiment of the application, the method can perform NID blind detection by using a frequency domain correlation operation and time domain selection method, so that the accuracy of effective NID screening is improved under the conditions of low signal-to-noise ratio and fading channel, and the PDCCH blind detection efficiency is improved.
Please refer to fig. 3 and 4 together, fig. 3 is a schematic diagram of a downlink control channel NID blind test flow provided by an embodiment of the present application, fig. 4 is a schematic diagram of a downlink control channel equalization flow provided by an embodiment of the present application, and as shown in fig. 3, a frequency domain correlation operation is performed using a local DMRS sequence and a received DMRS, and a zero value with a length of N is supplemented to the frequency domain correlation operation sequence to implement an interpolation operation on a transformed time domain sequence, so as to improve the accuracy of subsequent screening of a maximum value and a next maximum value of the time domain sequence, and a sequence transformed from a frequency domain to a time domain is screened, wherein the screening ranges are a first N/4 length sample and a last N/4 length sample of the time domain sequence, so as to reduce noise and judge an effective NID, and a blind test is performed on an effective NID by screening a maximum value of a sum of power of the time domain sequence and the next maximum value of the time domain sequence, interference in determining a valid NID using the channel estimate under multipath fading channel conditions is reduced. As shown in fig. 4, discrete fourier transform can be performed on the time domain sequence after being filled with the zero value to obtain a channel estimation value, so as to implement equalization operation on data, improve operation efficiency, reduce the influence of noise on the equalized data constellation diagram, and improve demodulation accuracy. The method can improve the accuracy of effective NID detection and has low operation complexity.
It can be seen that, by implementing the method for blindly resolving the NID for the PDCCH channel in the NR system described in this embodiment, the accuracy of NID detection can be improved, the occupied hardware resources are small, the implementation is easy, and meanwhile, the false detection rate of the PDCCH blind detection is also reduced.
Example 2
Please refer to fig. 2, fig. 2 is a schematic structural diagram of a PDCCH channel blind NID apparatus in an NR system according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus for blind PDCCH channel NID decoding in the NR system includes:
an obtaining unit 210, configured to obtain a configuration parameter of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level, and a preset NID search range;
an extracting unit 220, configured to extract, according to the configuration parameter and the aggregation level, a DMRS sequence corresponding to a PDCCH frequency domain at the aggregation level;
a first determining unit 230, configured to determine, according to the NID search range and the PDCCH candidate set, a to-be-verified NID set and a local DMRS sequence corresponding to each to-be-verified NID in the to-be-verified NID set;
a first calculating unit 240, configured to perform correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified;
a second calculating unit 250, configured to calculate, according to the correlation operation sequence, a power sum corresponding to each NID to be verified at the aggregation level;
and a second determining unit 260, configured to determine a blind valid NID from the set of NIDs to be verified according to the power sum.
As an alternative embodiment, the extracting unit 220 includes:
a first determining subunit 221, configured to determine, according to the configuration parameter, a first position of the PDCCH candidate set in the frequency domain;
an extracting subunit 222, configured to extract, according to the PDCCH candidate set and the first location, a DMRS sequence corresponding to a PDCCH frequency domain at the aggregation level.
As an optional implementation, the first determining unit 230 includes:
a second determining subunit 231, configured to determine, according to the configuration parameter, a second position of the PDCCH candidate set in the time domain; determining an NID set to be verified according to the NID searching range;
and a generating subunit 232, configured to generate, according to the PDCCH candidate set and the second position, a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified.
As an alternative embodiment, the second calculation unit 250 includes:
a zero padding subunit 251, configured to perform zero padding on the correlation operation sequence to obtain a zero padding sequence corresponding to each NID to be verified;
a frequency-time conversion subunit 252, configured to perform frequency-time conversion processing on the zero padding sequence to obtain a time domain sequence corresponding to each NID to be verified;
a time domain selecting subunit 253, configured to perform time domain selecting processing on the time domain sequence to obtain a selecting result pair corresponding to each NID to be verified, where the selecting result pair includes a maximum value of the time domain sequence and a second maximum value of the time domain sequence;
and the computing subunit 254 is configured to compute, according to the selected result pair, a power sum corresponding to each NID to be verified at the aggregation level.
As an optional implementation manner, the second determining unit 260 is specifically configured to determine the maximum power and the corresponding NID to be verified as a blind valid NID.
As an optional implementation manner, the obtaining unit 210 is further configured to obtain a time domain sequence corresponding to the blind test valid NID, a CCE frequency domain data candidate set at the aggregation level, and a preset RNTI value candidate set;
the apparatus for blindly resolving NID for PDCCH channel in NR system further includes:
the equalizing operation unit 270 is configured to perform equalizing operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set;
the analysis and verification unit 280 is configured to perform analysis and verification processing on the frequency domain data candidate set to obtain a verification result corresponding to each CCE frequency domain data in the CCE frequency domain data candidate set;
an information parsing unit 290, configured to determine, according to the check result, a target RNTI value corresponding to each CCE frequency domain data from the RNTI value candidate set; and analyzing DCI information of the user terminal corresponding to each CCE frequency domain data according to the target RNTI value and the blind detection effective NID.
As an alternative embodiment, the equalizing operation unit 270 includes:
a screening subunit 271, configured to perform screening processing on the time domain sequence to obtain a screening sequence;
a zero insertion subunit 272, configured to perform zero insertion processing on the screening sequence to obtain a zero insertion sequence;
a transform subunit 273, configured to perform frequency-to-time transform on the zero-inserted sequence to obtain a transform sequence;
an equalizing subunit 274, configured to perform an equalizing operation on the CCE frequency domain data candidate set by using the transform sequence to obtain a frequency domain data candidate set.
In this embodiment of the present application, for an explanation of a PDCCH channel blind NID apparatus in an NR system, reference may be made to the description in embodiment 1, and details are not repeated in this embodiment.
It can be seen that, by implementing the PDCCH channel blind NID decoding apparatus in the NR system described in this embodiment, the accuracy of NID detection can be improved, the occupied hardware resources are small, the implementation is easy, and meanwhile, the false detection rate of PDCCH blind detection is also reduced.
An embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for blind PDCCH channel NID solution in an NR system in embodiment 1 of the present application.
An embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method for blind PDCCH channel NID solution in an NR system according to embodiment 1 of the present application is performed.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative and, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for PDCCH channel blind NID solution in an NR system is characterized by comprising the following steps:
acquiring configuration parameters of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level and a preset NID search range;
extracting a DMRS sequence corresponding to a PDCCH frequency domain under the aggregation level according to the configuration parameters and the aggregation level;
determining an NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the NID searching range and the PDCCH candidate set;
performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified;
calculating the power sum corresponding to each NID to be verified under the aggregation level according to the correlation operation sequence;
and determining a valid NID for blind detection from the NID set to be verified according to the power.
2. The method for blind PDCCH channel NID decoding in NR system according to claim 1, wherein extracting DMRS sequences corresponding to PDCCH frequency domain under the aggregation level according to the configuration parameters and the aggregation level comprises:
determining a first position of the PDCCH candidate set in a frequency domain according to the configuration parameter;
and extracting a DMRS sequence corresponding to the PDCCH frequency domain under the aggregation level according to the PDCCH candidate set and the first position.
3. The method for blindly resolving NID for PDCCH channel in NR system according to claim 1, wherein determining the set of NIDs to be verified and the local DMRS sequence corresponding to each NID to be verified in the set of NIDs to be verified according to the NID search range and the PDCCH candidate set comprises:
determining a second position of the PDCCH candidate set in a time domain according to the configuration parameter;
determining an NID set to be verified according to the NID searching range;
and generating a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified according to the PDCCH candidate set and the second position.
4. The method for blind PDCCH channel NID solution in an NR system according to claim 1, wherein calculating the power sum corresponding to each NID to be verified at the aggregation level according to the correlation operation sequence includes:
zero padding processing is carried out on the correlation operation sequence to obtain a zero padding sequence corresponding to each NID to be verified;
performing frequency-time conversion processing on the zero padding sequence to obtain a time domain sequence corresponding to each NID to be verified;
performing time domain selection processing on the time domain sequence to obtain a selection result pair corresponding to each NID to be verified, wherein the selection result pair comprises the maximum value of the time domain sequence and the second maximum value of the time domain sequence;
and calculating the power sum corresponding to each NID to be verified under the aggregation level according to the selected result pair.
5. The method for blind NID resolution on PDCCH channel in NR system according to claim 1 wherein determining the blind valid NID from the set of NIDs to be verified according to the power sum comprises:
the maximum power and the corresponding NID to be verified are determined as the blind validation NID.
6. The method for PDCCH channel blind NID decoding in NR system according to claim 1, wherein said method further comprises:
acquiring a time domain sequence corresponding to the blind test valid NID, a CCE frequency domain data candidate set under the aggregation level and a preset RNTI value candidate set;
carrying out equalization operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set;
analyzing and checking the frequency domain data candidate set to obtain a checking result corresponding to each CCE frequency domain data in the CCE frequency domain data candidate set;
determining a target RNTI value corresponding to each CCE frequency domain data from the RNTI value candidate set according to the check result;
and analyzing DCI information of the user terminal corresponding to each CCE frequency domain data according to the target RNTI value and the blind test effective NID.
7. The method for blind PDCCH channel NID decoding in an NR system according to claim 6, wherein the step of performing an equalization operation on the CCE frequency domain data candidate set according to the time domain sequence to obtain a frequency domain data candidate set comprises:
screening the time domain sequence to obtain a screened sequence;
carrying out zero insertion treatment on the screening sequence to obtain a zero insertion sequence;
performing frequency-time conversion processing on the zero insertion sequence to obtain a conversion sequence;
and carrying out equalization operation on the CCE frequency domain data candidate set by using the transformation sequence to obtain a frequency domain data candidate set.
8. A PDCCH channel blind NID decoding apparatus in an NR system, comprising:
an obtaining unit, configured to obtain a configuration parameter of a search space, a preset aggregation level, a PDCCH candidate set corresponding to the aggregation level, and a preset NID search range;
an extracting unit, configured to extract, according to the configuration parameter and the aggregation level, a DMRS sequence corresponding to a PDCCH frequency domain at the aggregation level;
a first determining unit, configured to determine, according to the NID search range and the PDCCH candidate set, a NID set to be verified and a local DMRS sequence corresponding to each NID to be verified in the NID set to be verified;
the first computing unit is used for performing correlation operation on the DMRS sequence and the local DMRS sequence to obtain a correlation operation sequence corresponding to each NID to be verified;
a second calculating unit, configured to calculate, according to the correlation operation sequence, a power sum corresponding to each NID to be verified at the aggregation level;
and the second determining unit is used for determining the valid NID for blind detection from the NID set to be verified according to the power.
9. An electronic device, characterized in that the electronic device comprises a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the PDCCH channel blind NID method in an NR system according to any of claims 1 to 7.
10. A readable storage medium having stored thereon computer program instructions which, when read and executed by a processor, perform the PDCCH channel blind NID method in an NR system according to any of claims 1 to 7.
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