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

PDCCH estimation parameter acquisition method, device, network equipment and storage medium Download PDF

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CN114422083A
CN114422083A CN202210037605.2A CN202210037605A CN114422083A CN 114422083 A CN114422083 A CN 114422083A CN 202210037605 A CN202210037605 A CN 202210037605A CN 114422083 A CN114422083 A CN 114422083A
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pdcch
data
initial
dmrs
cce
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黄晓光
付磊
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Guangzhou Huiruisitong Technology Co Ltd
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Guangzhou Huiruisitong Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0036—Systems modifying transmission characteristics according to link quality, e.g. power backoff arrangements specific to the receiver
    • H04L1/0038—Blind format detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0238—Channel estimation using blind estimation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
    • H04L27/38—Demodulator circuits; Receiver circuits
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Power Engineering (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The present disclosure provides a method, an apparatus, a network device and a storage medium for acquiring a PDCCH estimation parameter, 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 comprises Control Channel Element (CCE) data; demodulating the PDCCH data to obtain initial bit data; according to the initial position of the CCE data, carrying out sliding extraction processing on the initial bit data to obtain a plurality of initial sequences; and descrambling and inverting a plurality of the initial sequences to obtain a parameter pdcch-DMRS-ScramblingID. According to the scheme of the embodiment of the disclosure, the calculation amount can be reduced, and the PDCCH blind detection efficiency is improved.

Description

PDCCH estimation parameter acquisition method, device, network equipment and storage medium
Technical Field
The embodiment of the disclosure relates to the technical field of communication, and in particular, to a method and an apparatus for acquiring PDCCH estimation parameters, a network device and a storage medium.
Background
A parameter PDCCH-DMRS-scanning ingID in a 5G NR (New Radio, New air interface) system is mainly used to generate a DMRS (Demodulation Reference Signal) corresponding to a PDCCH (Physical Downlink Control Channel); in general, a UE (User Equipment) needs to perform blind detection on a PDCCH candidate set according to a PDCCH-DMRS-scattering id and a Radio Network Temporary Identity (Radio Network Temporary Identity) of the UE, so as to obtain a DCI (Downlink Control Information) belonging to the UE.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The inventor finds that in the process of PDCCH blind detection, channel estimation needs to be carried out firstly, and under the condition that PDCCH-DMRS-ScramblingID is unknown, the parameter needs to be detected firstly; in the related scheme, all values are traversed to perform related calculation according to the value range of the PDCCH-DMRS-scrimblingid, and then the corresponding PDCCH-DMRS-scrimblingid is obtained according to the correlation result of the calculation, but the value range of the PDCCH-DMRS-scrimblingid is 0 to 65535, and if all the values are traversed, the problem of overlarge calculation amount is caused, thereby affecting the efficiency of PDCCH blind detection.
The embodiment of the disclosure provides a method and a device for acquiring PDCCH estimation parameters, network equipment and a computer-readable storage medium, which can reduce the calculation amount and improve the PDCCH blind detection efficiency.
In a first aspect, an embodiment of the present disclosure provides a PDCCH estimation parameter obtaining method, where the method includes:
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 comprises Control Channel Element (CCE) data;
determining a channel polarity value of the PDCCH data, and demodulating 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 initial position of the CCE data, carrying out sliding extraction processing on the initial bit data to obtain a plurality of initial sequences; wherein the initial sequence is associated with a pseudo-random sequence;
and descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
In some embodiments of the present disclosure, the CCE data is multiple, and the first traversal condition is to traverse all the CCE data in the PDCCH data; after the descrambling and inverting processing is performed on the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID, the method further comprises the following steps:
in the event that the first traversal condition is not satisfied, selecting new the CCE data;
according to the initial position of the new CCE data, the initial bit data is subjected to sliding extraction processing again to obtain a plurality of new initial sequences;
and descrambling and inverting the new initial sequences to obtain a plurality of new parameters pdcch-DMRS-ScramblingID.
In some embodiments of the present disclosure, the number of the channel polarity values is multiple, and the second traversal condition is to perform traversal on all the channel polarity values; after the descrambling and inverting processing is performed on the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID, the method further comprises the following steps:
selecting a new channel polarity value if the second traversal condition is not met;
demodulating the PDCCH data again according to the new channel polarity value to obtain new initial bit data;
and according to the initial position of the CCE data, performing sliding extraction processing on the new initial bit data to obtain a plurality of 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 after the descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters PDCCH-DMRS-scrimblingid, the method further includes:
and outputting all the parameters pdcch-DMRS-ScambringID under the condition that the third traversal condition is met.
In some specific embodiments of the present disclosure, the demodulating the PDCCH data to obtain initial bit data includes:
performing time-frequency transformation on the PDCCH data to obtain PDCCH frequency domain data;
performing channel equalization processing on the PDCCH frequency domain data to obtain a demodulation reference signal (DMRS) symbol;
and demodulating the DMRS symbols to obtain the initial bit data.
In some specific embodiments of the present disclosure, the performing sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain a plurality of initial sequences includes:
extracting first continuous bit data with a first preset length from the initial bit data according to the initial position of the CCE data;
performing sliding extraction processing on the first continuous bit data to obtain a plurality of second continuous bit data with second preset lengths;
determining a number of the second consecutive bit data as a number of the initial sequences; 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, the descrambling and inverting several of the initial sequences to obtain several parameters pdcch-DMRS-scrimblingid includes:
carrying out XOR operation on the plurality of initial sequences and a preset first sequence to obtain a plurality of second sequences;
carrying out inversion processing on the plurality of second sequences to obtain a plurality of third sequences; wherein the first sequence is associated with a pseudo-random sequence;
acquiring a plurality of initial estimation parameters corresponding to the third sequence;
and judging and verifying the initial estimation parameters to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
In some specific embodiments of the present disclosure, the determining and verifying the initial estimation parameter to obtain a plurality of parameters pdcch-DMRS-scrimblingid includes:
and acquiring a cell ID of a current cell, and determining the corresponding initial estimation parameter as the parameter pdcch-DMRS-ScramblingID under the condition that the initial estimation parameter is smaller than a preset threshold and larger than the cell ID, wherein the preset 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 acquiring PDCCH estimation parameters, where the apparatus includes:
a first unit, configured to acquire a 5G air interface signal, and determine PDCCH data of a physical downlink control channel based on the 5G air interface signal, where the PDCCH data includes CCE data;
a second unit, configured to determine a 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 a channel estimation value;
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 a plurality of initial sequences; wherein the initial sequence is associated with a pseudo-random sequence;
and the fourth unit is used for descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
In a third aspect, an embodiment of the present disclosure further provides a network device, including: memory, processor and computer program stored on the memory and operable on the processor, wherein the processor when executing the computer program implements the PDCCH estimation parameter acquisition method according to the first aspect.
In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium storing computer-executable instructions for performing the PDCCH estimation parameter obtaining method according to the embodiment of the first aspect.
According to the scheme provided by the embodiment of the disclosure, a 5G air interface signal is firstly acquired, and then PDCCH data is determined based on the acquired 5G air interface signal; then, based on the PDCCH data and the channel polarity value, demodulating to obtain initial bit data; then, carrying out sliding extraction processing on the initial bit data according to the initial position of the CCE data to obtain a plurality of initial sequences; and finally, descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID. All possible parameters PDCCH-DMRS-ScramblingID obtained by the embodiment can be utilized by a PDCCH blind detection process, so that the calculation amount is reduced, and the PDCCH blind detection efficiency is improved.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the disclosure. The objectives and other advantages of the disclosure may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosed embodiments and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the example serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a flowchart of a PDCCH estimation parameter obtaining method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a PDCCH estimation parameter obtaining method according to another embodiment of the present disclosure;
fig. 3 is a flowchart of a PDCCH estimation parameter obtaining method according to another embodiment of the present disclosure;
fig. 4 is a flowchart of a PDCCH estimation parameter obtaining method according to another embodiment of the present disclosure;
fig. 5 is a specific flowchart for determining PDCCH data of a PDCCH estimation parameter obtaining method according to an embodiment of the present disclosure;
fig. 6 is a specific flowchart of acquiring initial bit data in a PDCCH estimation parameter acquisition method according to another embodiment of the present disclosure;
fig. 7 is a detailed flowchart of an acquisition initialization sequence of a PDCCH estimation parameter acquisition method according to an embodiment of the present disclosure;
fig. 8 is a detailed flowchart of parameters acquired by a PDCCH estimation parameter acquisition method according to an embodiment of the present disclosure;
fig. 9 is a detailed flowchart of parameters acquired by a PDCCH estimation parameter acquisition method according to another embodiment of the present disclosure;
fig. 10 is a detailed flowchart of a PDCCH estimation parameter obtaining method according to an embodiment of the present disclosure;
fig. 11 is a schematic structural diagram of an apparatus for acquiring PDCCH estimation parameters according to an embodiment of the present disclosure;
fig. 12 is a schematic diagram of a network device according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure.
In the description of the present disclosure, the number is one or more, the number is two or more, and greater than, less than, more than, etc. are understood as excluding the number, and greater than, less than, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present disclosure, unless otherwise expressly limited, terms such as set, mounted, connected, etc., should be construed broadly, and those skilled in the art can reasonably determine the specific meaning of the terms in the present disclosure in consideration of the detailed contents of the technical solutions.
The present disclosure provides a method, an apparatus, a network device and a computer readable storage medium for obtaining a PDCCH estimation parameter, wherein a 5G air interface signal is obtained, and PDCCH data of a physical downlink control channel is determined based on the 5G air interface signal, wherein the PDCCH data includes control channel element CCE data; demodulating the PDCCH data to obtain initial bit data; according to the initial position of the CCE data, carrying out sliding extraction processing on the initial bit data to obtain a plurality of initial sequences; and descrambling and inverting a plurality of the initial sequences to obtain a parameter pdcch-DMRS-ScramblingID. By the technical scheme, the calculation amount can be reduced, and the PDCCH blind detection efficiency is improved.
In the 5G-NR communication system, a Physical Downlink Control Channel (PDCCH) generally carries Downlink Control Information (DCI) transmitted by a base station to a User Equipment (UE), where the DCI includes a transport format, resource allocation, uplink scheduling grant, power Control, uplink retransmission Information, and the like. A Control-Channel Element (CCE) is a basic unit for PDCCH transmission, one PDCCH may be composed of one or more CCEs, for example, 1,2, 4, 8, and 16 CCEs, and the number of CCE data constituting the PDCCH is referred to as an Aggregation Level (AL). When a Demodulation Reference Signal (DMRS) sequence is generated, a parameter PDCCH-DMRS-scrimblingid is required to be used, and usually the parameter PDCCH-DMRS-scrimblingid is configured by a high layer, and the UE needs to perform blind detection on a PDCCH candidate set according to the PDCCH-DMRS-scrimblingid and a Radio Network Temporary Identity (RNTI) of the UE itself, so as to obtain 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, firstly, channel estimation is carried out, and under the condition that PDCCH-DMRS-ScramblingID is unknown, the parameter needs to be detected firstly; in the related scheme, all values are traversed to perform related calculation according to the value range of the PDCCH-DMRS-scrimblingid, and then the corresponding PDCCH-DMRS-scrimblingid is obtained according to the correlation result obtained by the calculation, but the value range of the PDCCH-DMRS-scrimblingid is 0 to 65535, and if all the values are traversed, the problem of overlarge calculated amount is caused, thereby affecting the efficiency of PDCCH blind detection.
The embodiments of the present disclosure will be further explained with reference to the drawings.
As shown in fig. 1, fig. 1 is a PDCCH estimation parameter obtaining method according to 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 comprises Control Channel Element (CCE) data;
step S200, determining a channel polarity value of the PDCCH data, and demodulating 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, according to the initial position of the CCE data, carrying out sliding extraction processing on the initial bit data to obtain a plurality of initial sequences; wherein the initial sequence is associated with a pseudo-random sequence;
and S400, descrambling and inverting the plurality of initial sequences to obtain a plurality of 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, where the 5G air interface signal may include a primary synchronization signal, a secondary synchronization signal, PDCCH data, and the like; the primary synchronization signal and the secondary synchronization signal are mainly used for tracking synchronization, and because the positions of the primary synchronization signal and the secondary synchronization signal in frame data are relatively fixed, the initial position of PDCCH data can be found according to the symbols of the primary synchronization signal and the secondary synchronization signal. In the embodiment of the present disclosure, the channel polarity value is related to a channel estimation value, and the channel polarity value may be obtained by prediction according to a PDCCH symbol QPSK modulation mode, or may be obtained by a channel estimation process, where there are one or more different value conditions. CCE data is a basic unit of PDCCH transmission, and one PDCCH may contain one or more CCE data and is determined by an aggregation level of the PDCCH. The parameter PDCCH-DMRS-scrimblingid is mainly used to generate a DMRS corresponding to the PDCCH, and normally, blind detection needs to be performed on the PDCCH candidate set according to the PDCCH-DMRS-scrimblingid and the RNTI, so as to obtain DCI downlink control information. Therefore, in this embodiment, a 5G air interface signal is first acquired, and then PDCCH data is determined based on the acquired 5G air interface signal; then determining a channel polarity value of the PDCCH data, and demodulating the PDCCH data according to the channel polarity value to obtain initial bit data; then, according to the initial position of the CCE data, carrying out sliding extraction processing on the initial bit data to obtain a plurality of initial sequences; and finally, descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID. The parameter PDCCH-DMRS-ScramblingID obtained by the embodiment can be utilized by the PDCCH blind detection process, so that the calculation amount is reduced, and the PDCCH blind detection efficiency is improved.
In addition, in an embodiment, as shown in fig. 2, there are a plurality of CCE data, and the first traversal condition is to traverse all CCE data in the PDCCH data; the above step S400 may further include, but is not limited to, step S310, step S320, and step S330.
Step S310, selecting new CCE data under the condition that the first traversal condition is not met;
step S320, according to the initial position of the new CCE data, the initial bit data is subjected to sliding extraction processing again to obtain a plurality of new initialization sequences;
and step S330, descrambling and inverting the new initial sequences to obtain a plurality of new parameters pdcch-DMRS-ScramblingID.
It should be noted that, when the parameter PDCCH-DMRS-scrimblingid is obtained through calculation, since the PDCCH data includes a plurality of CCE data, it is necessary to continue traversal processing based on other CCE data after the previous CCE data is traversed, so as to obtain the parameter PDCCH-DMRS-scrimblingid corresponding to each CCE data. Therefore, if the CCE data in the PDCCH data is not completely traversed, the next CCE data is selected as new CCE data to perform calculation again to obtain the parameter PDCCH-DMRS-scrimblingid related to the new CCE data, until all CCE data are traversed. For example, if 4 CCE data are included, 4 iterations are required to obtain all possible parameters pdcch-DMRS-scrimblingid.
In addition, in an embodiment, as shown in fig. 3, there are a plurality of channel polarity values, the second traversal condition is to traverse all the channel polarity values, and the step S400 may further include, but is not limited to, step S410, step S420, and step S430.
Step S410, selecting a new channel polarity value under the condition that the second traversal condition is not met;
step S420, demodulating the PDCCH data to obtain new initial bit data according to the new channel polarity value;
step S430, according to the starting position of the CCE data, performing sliding extraction processing on the new initial bit data to obtain a plurality of initial sequences.
It should be noted that, when all the channel polarity values are not traversed, a new channel polarity value is selected; then demodulating the PDCCH data according to the new channel polarity value to obtain new initial bit data; and then, according to the initial position of the CCE data, carrying out sliding extraction processing on the new initial bit data to obtain a plurality of initial sequences. The channel polarity value is related to the channel estimation value, and there may be a plurality of different values of the channel polarity value, and different initial bit data can be obtained by demodulating the PDCCH data based on different channel polarity values, so that there may be different possibilities when calculating according to the CCE data. If the channel polarity value H1, the channel polarity value H2, and the channel polarity value H3 exist, firstly, performing demodulation processing according to the channel polarity value H1 to obtain demodulated data (i.e., initial bit data), and then, according to the initial position of CCE data in the PDCCH data, performing subsequent parameter calculation on the initial bit data by using the PDCCH-DMRS-scrimblingid; and under the condition that the CCE data in the PDCCH data are completely traversed and the channel polarity value is not completely traversed, traversing the channel polarity of the PDCCH data again, for example, selecting the channel polarity value H2 or the channel polarity value H3 as a next channel polarity value to process, obtaining new initial bit data based on the currently traversed channel polarity value H2 or H3 so as to continue to perform subsequent parameter PDCCH-DMRS-ScramblingID calculation processing, and obtaining 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, and step S400 may further include, but is not limited to, step S440.
And step S440, outputting all parameters pdcch-DMRS-ScramblingID under the condition that the third traversal condition is met.
It should be noted that, under the condition that all CCE data in PDCCH data are completely traversed and all channel polarity values are completely traversed, all parameters PDCCH-DMRS-scrimblingid calculated based on all possible conditions (for example, a condition that multiple CCE data exist and a condition that multiple channel polarity values exist) are output, that is, a set of parameters PDCCH-DMRS-scrimblingid is output, and subsequent related PDCCH blind detection can be operated by using the parameters PDCCH-DMRS-scrimblingid in the set, so that the calculation range is reduced, the calculation amount is greatly reduced, and PDCCH blind detection operation is facilitated, and effective DCI information is obtained. If there are 3 kinds of channel polarity values and 4 CCE data, 12 times of operations of the correlation step are required to be performed to obtain 12 different pdcch-DMRS-scrimblingid parameter sets and merge the outputs.
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 step S100 may further include, but is not limited to, the step S110 and the step S120.
Step S110, cell search processing is carried out according to the main synchronizing signal and the auxiliary synchronizing signal, and cell ID and data frame initial position information are determined;
step S120, determining PDCCH data according to the cell ID and the data frame initial position information.
Illustratively, 5G air interface Signals are acquired, Primary Synchronization Signals (PSS) are analyzed to obtain NID2 (range {0, 1, 2}) and a time domain coarse Synchronization point, then Secondary Synchronization Signals (SSS) are analyzed to obtain NID1 (range {0, 1 …, 335}) and a time domain fine Synchronization point, and a Physical Cell Identity (PCI) can be obtained according to the formula PCI ═ 3 × NID1) + NID2, and a Physical Cell ID (range {0, 1 …, 1007 }). Since the 5G air interface signal includes the primary synchronization signal and the secondary synchronization signal, and the positions of the primary synchronization signal and the secondary synchronization signal in the data frame are relatively fixed, the cell ID and the initial position information of the data frame of the current cell can be acquired through the primary synchronization signal and the secondary synchronization signal, and then the PDCCH data is determined according to the cell ID and the initial position information of the data frame.
In addition, in an embodiment, as shown in fig. 6, the step S200 may include, but is not limited to, step S210, step S220, and step S230.
Step S210, carrying out time-frequency transformation on the PDCCH data to obtain PDCCH frequency domain data;
step S220, carrying out channel equalization processing on PDCCH frequency domain data to obtain a demodulation reference signal DMRS symbol;
step S230, performing demodulation processing on the DMRS symbol to obtain initial bit data.
It should be noted that, first, time-frequency transformation is performed on PDCCH data to obtain PDCCH frequency domain data, then, channel equalization processing is performed on PDCCH frequency domain data to obtain demodulation reference signal DMRS symbols, and finally, demodulation processing is performed on the DMRS symbols to obtain initial bit data.
Illustratively, according to the frame synchronization position and the time slot and symbol where the PDCCH is located, PDCCH data may be obtained, and then time domain data may be converted into frequency domain data. If one RB contains 3 DMRS symbols, M RBs have 3 × M DMRS symbols in total, 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 step S300 may further include, but is not limited to, step S340, step S350, and step S360.
Step S340, extracting first continuous bit data of a 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 a plurality of second continuous bit data with second preset lengths;
step S360, determining a plurality of second continuous bit data as a plurality of initial sequences; the first preset length and the second preset length are determined by the number of CCE data.
It should be noted that, first continuous bit data with a first preset length is extracted from the initial bit data according to the starting position of the CCE data, and then the first continuous bit data is subjected to sliding extraction processing to obtain a plurality of second continuous bit data with a second preset length; and finally, determining a plurality of second continuous bit data as a plurality of initial sequences.
Exemplarily, starting from the first channel polarity, performing time-frequency conversion on PDCCH data of one time slot to obtain frequency domain data, and then performing equalization and demodulation to obtain initial bit data seq 1; starting from a CCE initial position 0, a first continuous bit data seq2 with a length of K is taken out of the initial bit data seq1, a value of K is related to an aggregation level, a number of CCE data is related to the aggregation level, and the value of K may be an integer multiple of the aggregation level, that is, the value of K is related to the number of CCE data. In this embodiment, the sliding extraction refers to continuously extracting data with a preset length in a step-by-step manner from the data to be processed, for example, when K is 6, first continuous bit data with a length of 6 is extracted from a starting position corresponding to the current CCE data in the initial bit data, where the first continuous bit data is (a1, a2, a3, a4, a5, a 6); then, second consecutive bit data with a length of L is extracted from the first consecutive bit data in a sliding manner, where when L is 3, the second consecutive bit data extracted in the sliding manner are (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 step S400 may further include, but is not limited to, step S450, step S460, step S470, and step S480.
Step S450, carrying out XOR operation on a plurality of initial sequences and a preset first sequence to obtain a plurality of second sequences;
step S460, inverting the plurality of second sequences to obtain a plurality of third sequences; wherein the first sequence is associated with a pseudo-random sequence;
step S470, obtaining a plurality of initial estimation parameters corresponding to the third sequence;
and S480, judging and verifying the initial estimation parameters to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
Firstly, carrying out XOR operation on a plurality of initial sequences and a preset first sequence to obtain a plurality of second sequences; then, carrying out inversion processing on the plurality of second sequences to obtain a plurality of third sequences; then acquiring a plurality of initial estimation parameters corresponding to the third sequence; and finally, judging and verifying the initial estimation parameters to obtain a plurality of parameters pdcch-DMRS-ScaramblingID.
Illustratively, in the first continuous bit data seq2 with the length of K, traversing K-L +1 times, sliding to take out the second continuous bit data, stepping 1 bit each time, obtaining K-L +1 initial sequences with the length of L, XOR the K-L +1 initial sequences with the length of L and 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. The inversion processing refers to a process of reverse derivation processing, for example, an initialization sequence corresponding to the second sequence, that is, a possible third sequence is obtained according to an inverse matrix corresponding to a generator matrix of the second sequence, and based on the third sequence, a possible PDCCH-DMRS-scrimblingid can be obtained by calculation according to a time slot number and an OFDM symbol number where the PDCCH is located. At this time, the obtained parameter pdcch-DMRS-scrimblingid may exceed the range of the actual parameter pdcch-DMRS-scrimblingid, for example, in a 5G communication system, the range of the value of pdcch-DMRS-scrimblingid is 0 to 65535, so that if the parameter value is greater than 65535, it is known that the currently obtained parameter pdcch-DMRS-scrimblingid is wrong and may be discarded; if the value is less than 65535 and greater than the cell ID, the currently obtained parameter pdcch-DMRS-ScramblingID can be stored through verification; and (4) screening possible values from the parameters pdcch-DMRS-ScaramblingID corresponding to the K-L +1 initial sequences until K-L +1 times of calculation is completed.
Exemplarily, in a 5G communication system, a DMRS sequence and a scrambling sequence are generally generated by a PN (Pseudo-Noise Code) sequence generated by a first sequence X1 and a second sequence X2, wherein a generation manner of each bit in an initialization sequence of the first sequence X1 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:
Figure BDA0003469060690000081
wherein, l represents the symbol number in the time slot, m represents the sequence length, c is a pseudo-random sequence (Gold sequence with 31 length), and the c sequence generation formula is as follows:
c(n)＝(x1(n+NC)+x2(n+NC))mod2
x1(n+31)＝(x1(n+3)+x1(n))mod2
x2(n+31)＝(x2(n+3)+x2(n+2)+x2(n+1)+x2(n))mod2
wherein N iscIs a constant; x is the number of1(n) characterized by a first sequence X1, consisting of X1(0)＝1,x1(n) ═ 0, n ═ 1,2, · 30; x is the number of2(n) characterized by a second sequence X2, consisting of
Figure BDA0003469060690000091
Are calculated.
And in the 5G communication system, cinit(second sequence X2 sequence initialization) as follows:
Figure BDA0003469060690000092
wherein, in the above formula:
Figure BDA0003469060690000093
the number of OFDM symbols contained in one time slot is represented, and is a fixed value at a certain subcarrier interval;
Figure BDA0003469060690000094
a slot number indicating the PDCCH; l represents the OFDM symbol number of the PDCCH; n is a radical ofIDNamely pdcch-DMRS-ScramblingID.
Thus c is calculatedinitAnd then, converting into a 31-bit sequence, namely obtaining an initialization sequence corresponding to the second sequence X2, and calculating to obtain a parameter pdcch-DMRS-ScramblingID based on the obtained initialization sequence of the second sequence X2.
In addition, in an embodiment, as shown in fig. 9, the step S440 may further include, but is not limited to, step S441.
Step S441, obtaining a cell ID of the current cell, and determining the initial estimation parameter as a parameter pdcch-DMRS-scrimblingid when the initial estimation parameter is smaller than a preset threshold and larger than the cell ID.
It should be noted that, based on the above step S110, the cell ID of the current cell may be obtained through calculation, and when the initial estimation parameter is smaller than the preset threshold and larger than the cell ID, the corresponding initial estimation parameter is determined as the parameter pdcch-DMRS-scrimblingid. The preset threshold value is associated with the value range of the parameter pdcch-DMRS-ScramblingID.
In order to more clearly describe the flow of the PDCCH estimation parameter acquiring method provided by the embodiment of the present invention, a specific example is described below.
As shown in fig. 10, during cell search, downlink timing synchronization is completed using a primary synchronization signal PSS and a secondary synchronization signal SSS, and since the positions of the PSS and the SSS in frame data are relatively fixed, the starting position of the frame data and the current cell ID can be found according to the symbols where the PSS and the SSS are located. Continuously acquiring a 5G air interface signal, determining Physical Downlink Control Channel (PDCCH) data based on the 5G air interface signal, performing time-frequency conversion on the PDCCH data of a time slot to obtain frequency domain data, then acquiring the PDCCH data according to a frame synchronization position and the time slot and symbol of the PDCCH, and then converting the time domain data into the frequency domain data, namely the PDCCH data time-frequency conversion. Then, from the first kind of 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, and all 3 × M DMRS symbols are extracted from PDCCH frequency domain data and converted into initial bit data seq 1. Then, starting from a CCE initial position 0, that is, traversing all CCE initial positions, extracting data according to CCE positions, and extracting K bits of first continuous bit data seq2 from the initial bit data seq1, where the value of K is related to an aggregation level; traversing K-L +1 times in the first continuous bit data seq2, sliding and taking out a plurality of second continuous bit data with the length of L, obtaining XOR between the obtained second continuous bit data and the related first sequence X1 to obtain a possible second sequence X2 sequence, then obtaining a possible second sequence X2 initialization sequence according to an inverse matrix corresponding to a generating matrix of the second sequence X2 sequence, and then obtaining an NID value by calculation according to the time slot number and the OFDM symbol number where the PDCCH is located, thereby obtaining a parameter PDCCH-DMRS-ScramblingID, if the value is smaller than 65535 and larger than the cell ID, passing the verification, and storing the value. Otherwise, discarding until completing K-L +1 times of traversal. And when judging whether the CCE position is traversed completely, continuing to traverse the initial position of the next CCE until all the CCE data are traversed completely. And when judging that whether the channel polarity value is traversed completely is negative, continuously traversing the next channel polarity value, and performing the steps of DMRS symbol demodulation processing and subsequent parameter calculation of pdcch-DMRS-ScramblingID on the basis of the new channel polarity value until all the channel polarity values are traversed completely. And finally, outputting all calculated NIDs, namely outputting all calculated parameters pdcch-DMRS-ScramblingID.
As shown in fig. 11, another embodiment of the present disclosure provides a PDCCH estimation parameter obtaining apparatus 1000, which includes:
a first unit 1100, configured to acquire a 5G air interface signal, and determine PDCCH data of a physical downlink control channel based on the 5G air interface signal, where the PDCCH data includes CCE data;
a second unit 1200, configured to determine a 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;
a third unit 1300, configured to perform sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain a plurality of initial sequences; wherein the initial sequence is associated with a pseudo-random sequence;
a fourth unit 1400, configured to perform descrambling and inversion on the multiple initial sequences to obtain multiple parameters pdcch-DMRS-scrimblingid.
It should be noted that the 5G air interface signal is a signal sent by the base station to the UE, where the 5G air interface signal may include a primary synchronization signal, a secondary synchronization signal, PDCCH data, and the like; the primary synchronization signal and the secondary synchronization signal are mainly used for tracking synchronization, and because the positions of the primary synchronization signal and the secondary synchronization signal in frame data are relatively fixed, the initial position of PDCCH data can be found according to the symbols of the primary synchronization signal and the secondary synchronization signal. In the embodiment of the present disclosure, the channel polarity value is related to a channel estimation value, and the channel polarity value may be obtained by prediction according to a PDCCH symbol QPSK modulation mode, or may be obtained by a channel estimation process, where there are one or more different value conditions. CCE data is a basic unit of PDCCH transmission, and one PDCCH may contain one or more CCE data and is determined by an aggregation level of the PDCCH. The parameter PDCCH-DMRS-scrimblingid is mainly used to generate a DMRS corresponding to the PDCCH, and normally, blind detection needs to be performed on the PDCCH candidate set according to the PDCCH-DMRS-scrimblingid and the RNTI, so as to obtain DCI downlink control information. Therefore, in this embodiment, first, the first unit 1100 is used to obtain a 5G air interface signal, and then, PDCCH data is determined based on the obtained 5G air interface signal; then, a second unit 1200 is used to determine a channel polarity value of the PDCCH data, and the PDCCH data is demodulated according to the channel polarity value to obtain initial bit data; then, the third unit 1300 is utilized to perform sliding extraction processing on the initial bit data according to the initial position of the CCE data to obtain a plurality of initial sequences; finally, the fourth unit 1400 is utilized to descramble and invert the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-scrimblingid. The parameter PDCCH-DMRS-ScramblingID obtained by the embodiment can be utilized by the PDCCH blind detection process, so that the calculation amount is reduced, and the PDCCH blind detection efficiency is improved.
Optionally, the number of CCE data is multiple, and the first traversal condition is to traverse all CCE data in the PDCCH data; after the fourth unit 1400 performs descrambling and inversion processing on the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-scrimblingid, the third unit 1300 further includes: selecting new CCE data under the condition that the first traversal condition is not met; according to the initial position of the new CCE data, the initial bit data is subjected to sliding extraction processing again to obtain a plurality of new initial sequences; the fourth unit 1400 performs descrambling and inversion processing on the plurality of new initial sequences to obtain a plurality of new parameters pdcch-DMRS-scrimblingid.
Optionally, the number of the channel polarity values is multiple, and the second traversal condition is to perform traversal on all the channel polarity values; after the fourth unit 1400 performs descrambling and inversion processing on the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-scrimblingid, the second unit 1200 further includes: selecting a new channel polarity value under the condition that the second traversal condition is not met; demodulating the PDCCH data again according to the new channel polarity value to obtain new initial bit data; the third unit 1300 performs sliding extraction processing on new initial bit data according to the starting position of the CCE data to obtain a plurality of 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 after the fourth unit 1400 descrambles and inverts several initial sequences to obtain several parameters PDCCH-DMRS-scrimblingid, the fourth unit 1400 further includes: and outputting all parameters pdcch-DMRS-ScambringID under the condition that a third traversal condition is met.
Optionally, the second unit 1200, in the step of obtaining initial bit data by performing demodulation processing on PDCCH data, includes: carrying out time-frequency transformation on the PDCCH data to obtain PDCCH frequency domain data; carrying out channel equalization processing on PDCCH frequency domain data to obtain a demodulation reference signal DMRS symbol; and demodulating the DMRS symbols to obtain initial bit data.
Optionally, the third unit 1300, in the step of performing sliding extraction processing on the initial bit data according to the starting position of the CCE data to obtain a plurality of initial sequences, includes: extracting first continuous bit data with a first preset length from the initial bit data according to the initial position of the CCE data; performing sliding extraction processing on the first continuous bit data to obtain a plurality of second continuous bit data with second preset lengths; determining a plurality of second continuous bit data as a plurality of initial sequences; the first preset length and the second preset length are determined by the number of CCE data.
Optionally, the fourth unit 1400, in the step of performing descrambling and inverse processing on a plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-scrimblingid, includes: carrying out XOR operation on the plurality of initial sequences and a preset first sequence to obtain a plurality of second sequences; carrying out inversion processing on the plurality of second sequences to obtain a plurality of third sequences; wherein the first sequence is associated with a pseudo-random sequence; acquiring initial estimation parameters corresponding to a plurality of third sequences; and judging and verifying the initial estimation parameters to obtain a plurality of parameters pdcch-DMRS-ScramblingID. Specifically, the step of obtaining a plurality of parameters pdcch-DMRS-scrimblingid by performing judgment and verification processing on the initial estimation parameters includes: the method comprises the steps of obtaining a cell ID of a current cell, and determining a corresponding initial estimation parameter as a parameter pdcch-DMRS-ScramblingID under the condition that the initial estimation parameter is smaller than a preset threshold and larger than the cell ID, wherein the preset threshold is associated with a value range of the parameter pdcch-DMRS-ScramblingID.
It should be noted that, since the PDCCH estimation parameter acquiring apparatus 1000 in this embodiment is based on the same inventive concept as the PDCCH estimation parameter acquiring method in the foregoing embodiment, corresponding contents and beneficial effects in the method embodiment are also applicable to this system embodiment, and are not described herein again.
Further, as shown in fig. 12, an embodiment of the present disclosure also provides a network device 700, including: the memory 720, the processor 710, and a computer program stored in the memory 720 and operable on the processor 710, when the processor 710 executes the computer program, implement the PDCCH estimation parameter obtaining method in the above-described embodiment, for example, execute the above-described method steps S100 to S400 in fig. 1, the method steps S310 to S330 in fig. 2, the method steps S410 to S430 in fig. 3, the method step S440 in fig. 4, the method steps S110 to S120 in fig. 5, the method steps S210 to S230 in fig. 6, the method steps S340 to S360 in fig. 7, the method steps S450 to S480 in fig. 8, and the method step S441 in fig. 9.
Furthermore, an embodiment of the present disclosure further provides a computer-readable storage medium storing computer-executable instructions, which are executed by a processor or a controller, for example, by a processor in the above-mentioned device embodiment, and can enable the above-mentioned processor to execute the PDCCH estimation parameter acquisition method in the above-mentioned embodiment, for example, execute the above-mentioned method steps S100 to S400 in fig. 1, method steps S310 to S330 in fig. 2, 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. 6, method steps S340 to S360 in fig. 7, method steps S450 to S480 in fig. 8, and method step S441 in fig. 9.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the 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). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, element structures, program modules or other elements, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, 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 includes any information delivery media as is known to those of ordinary skill in the art.
While the present disclosure has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.

Claims (11)

1. A PDCCH estimation parameter acquisition method is characterized by comprising the following steps:
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 comprises Control Channel Element (CCE) data;
determining a channel polarity value of the PDCCH data, and demodulating 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 initial position of the CCE data, carrying out sliding extraction processing on the initial bit data to obtain a plurality of initial sequences; wherein the initial sequence is associated with a pseudo-random sequence;
and descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
2. The method of claim 1, wherein the number of CCE data is plural, and the first traversal condition is to traverse all the CCE data in the PDCCH data; after the descrambling and inverting processing is performed on the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID, the method further comprises the following steps:
in the event that the first traversal condition is not satisfied, selecting new the CCE data;
according to the initial position of the new CCE data, the initial bit data is subjected to sliding extraction processing again to obtain a plurality of new initial sequences;
and descrambling and inverting the new initial sequences to obtain a plurality of new parameters pdcch-DMRS-ScramblingID.
3. The method according to claim 1, wherein the number of the channel polarity values is plural, and the second traversal condition is to traverse all the channel polarity values; after the descrambling and inverting processing is performed on the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID, the method further comprises the following steps:
selecting a new channel polarity value if the second traversal condition is not met;
demodulating the PDCCH data again according to the new channel polarity value to obtain new initial bit data;
and according to the initial position of the CCE data, performing sliding extraction processing on the new initial bit data to obtain a plurality of initial sequences.
4. The method according to claim 2 or 3, wherein a 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 descrambling and inverting processes are performed on the plurality of initial sequences to obtain a plurality of parameters, PDCCH-DMRS-ScramblingID, further comprising:
and outputting all the parameters pdcch-DMRS-ScambringID under the condition that the third traversal condition is met.
5. The method of claim 1, wherein the demodulating the PDCCH data to obtain initial bit data comprises:
performing time-frequency transformation on the PDCCH data to obtain PDCCH frequency domain data;
performing channel equalization processing on the PDCCH frequency domain data to obtain a demodulation reference signal (DMRS) symbol;
and demodulating the DMRS symbols to obtain the initial bit data.
6. The method of claim 1, wherein the obtaining a plurality of initial sequences by performing sliding extraction on the initial bit data according to the starting position of the CCE data comprises:
extracting first continuous bit data with a first preset length from the initial bit data according to the initial position of the CCE data;
performing sliding extraction processing on the first continuous bit data to obtain a plurality of second continuous bit data with second preset lengths;
determining a number of the second consecutive bit data as a number of the initial sequences; wherein the first preset length and the second preset length are determined by the number of the CCE data.
7. The method of claim 1, wherein the descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters PDCCH-DMRS-scrimblingid comprises:
carrying out XOR operation on the plurality of initial sequences and a preset first sequence to obtain a plurality of second sequences;
carrying out inversion processing on the plurality of second sequences to obtain a plurality of third sequences; wherein the first sequence is associated with a pseudo-random sequence;
acquiring a plurality of initial estimation parameters corresponding to the third sequence;
and judging and verifying the initial estimation parameters to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
8. The method of claim 7, wherein the determining and verifying the initial estimated parameters to obtain the parameters PDCCH-DMRS-scrimblingid comprises:
and acquiring a cell ID of a current cell, and determining the corresponding initial estimation parameter as the parameter pdcch-DMRS-ScramblingID under the condition that the initial estimation parameter is smaller than a preset threshold and larger than the cell ID, wherein the preset threshold is associated with the value range of the parameter pdcch-DMRS-ScramblingID.
9. An apparatus for acquiring PDCCH estimation parameters, the apparatus comprising:
a first unit, configured to acquire a 5G air interface signal, and determine PDCCH data of a physical downlink control channel based on the 5G air interface signal, where the PDCCH data includes CCE data;
a second unit, configured to determine a 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 a channel estimation value;
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 a plurality of initial sequences; wherein the initial sequence is associated with a pseudo-random sequence;
and the fourth unit is used for descrambling and inverting the plurality of initial sequences to obtain a plurality of parameters pdcch-DMRS-ScramblingID.
10. A network device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the PDCCH estimation parameter acquisition method according to any of claims 1 to 8 when executing the computer program.
11. A computer-readable storage medium storing computer-executable instructions for performing the PDCCH estimation parameter acquisition method of any one of claims 1 to 8.
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