CN113055142B

CN113055142B - PDCCH blind detection method, device and storage medium

Info

Publication number: CN113055142B
Application number: CN201911390365.9A
Authority: CN
Inventors: 黄晓光
Original assignee: Guangzhou Huiruisitong Technology Co Ltd
Current assignee: Guangzhou Huiruisitong Technology Co Ltd
Priority date: 2019-12-26
Filing date: 2019-12-26
Publication date: 2022-08-09
Anticipated expiration: 2039-12-26
Also published as: CN113055142A

Abstract

The application provides a PDCCH blind detection method, a device and a storage medium, wherein the method comprises the following steps: extracting first indication information from MIB data, wherein the first indication information is used for indicating time-frequency resource allocation for executing PDCCH blind detection; determining the polymerization degree grade sequence of PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information; and according to the polymerization degree grade sequence, carrying out PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree grade until the DCI is detected. By the method and the device, the problem that the UE is slow to access the cell due to low PDCCH blind detection efficiency in the PDCCH blind detection method in the related art is solved, the PDCCH blind detection efficiency is improved, and the UE access speed to the cell is increased.

Description

PDCCH blind detection method, device and storage medium

Technical Field

The present application relates to the field of computers, and in particular, to a PDCCH blind detection method, apparatus, and storage medium.

Background

The 5G technology (5th generation mobile technology, fifth generation mobile communication technology) is a new generation communication technology, and a fifth generation mobile communication system using the mobile internet and the internet of things as main driving forces permeates into various fields of the society, so as to construct an omnidirectional information ecosystem for users, and cope with new services of explosive mobile data traffic growth, mass device connection and continuous emergence in the future.

Currently, for a 5G new air interface, two networking modes, namely, an SA (stand-alone networking) and an NSA (non-stand-alone networking), are defined by 3GPP (3rd Generation Partnership Project), where the SA needs to reestablish a 5G base station and a core network, and the NSA uses an existing 4G (Fourth Generation mobile communication technology) core network, so that deployment can be rapidly performed.

In a 5G system, the downlink channels include: PBCH (Physical Broadcast Channel), PDCCH (Physical Downlink Control Channel), and PDSCH (Physical Downlink shared Channel), wherein PBCH mainly carries MIB (Master Information Block) Information, PDCCH mainly carries DCI (Downlink Control Information), uplink and Downlink resource scheduling is performed, and PDSCH mainly carries data Information.

The base station side obtains the current UE Channel environment Quality status according to a Channel Quality Indicator (CQI) value reported by a current UE (User Equipment), and further selects an appropriate aggregation level, where the aggregation level mainly determines the number of CCEs (Control Channel elements) corresponding to bearer PDCCH information, and the aggregation levels used in a 5G system are 1,2, 4, 8, and 16, and correspond to 1,2, 4, 8, and 16 CCEs, respectively. However, the base station side does not issue information in advance, and informs the UE of the DCI format, the aggregation level, the time-frequency resource location, and the like required for receiving the PDCCH, and the UE only knows the information currently required by the UE, for example, a paging process expects a paging message; random response is expected in the receiving and accessing phase. Therefore, the UE needs to perform a full detection, i.e. blind detection, on the possible PDCCH candidates.

The 5G system introduces a control-resource set (control-resource set), and the control-resource set can configure time-frequency resources, interleaving information and the like required for searching the PDCCH, and can be flexibly applicable to different situations. In addition, an interleaving unit Resource Element Group bundling (REG bundle) is introduced, one CCE is fixedly composed of 6 REGs, the number of REGs (Resource Element groups) of one REG bundle is configurable, one REG bundle is composed of 6 REGs when the CCE-to-REG mapping is non-interleaving, one REG bundle is composed of 2,3 or 6 REGs when interleaving, and the specific number is indicated by a higher layer. One REG occupies one OFDM (Orthogonal Frequency Division Multiplexing) symbol in the time domain and 12 REs (Resource elements) in the Frequency domain.

In the NR (New Radio ) system, CSS (Common Search Space) and USS (UE-specific Search Space) are divided, and in the 5G system defined by the latest protocol R15 version, the Common Search Space is further divided into 5 different types of Search spaces: the device comprises a Type0-PDCCH common search space, a Type0A-PDCCH common search space, a Type1-PDCCH common search space, a Type2-PDCCH common search space and a Type3-PDCCH common search space, wherein different expected information can be searched in different spaces.

The cell search is mainly completed by solving MIB and SIB (System Information Block) 1, and completing cell initial access. The UE needs to decode MIB information first, determines a Type0-PDCCH public search space according to MIB information configuration, then decodes the PDCCH corresponding to the SIB1 according to the space, namely, performs PDCCH blind detection, obtains DCI corresponding to the PDSCH bearing the SIB1, obtains specific configuration information according to the DCI, then completes PDSCH demodulation and decoding, and obtains SIB1 information.

When a cell is initially searched, because PDCCH blind detection is involved, there are three aggregation levels 4, 8, and 16 specified in a protocol, and detection needs to be performed on two consecutive time slots, and if all aggregation levels and time slot configurations are detected once, a lot of time is wasted. The PDCCH blind detection method in the related art is PDCCH blind detection based on power measurement, and mainly determines the sequence of the detected polymerization degree grades according to CQI reported by UE. However, this approach may reduce the efficiency of PDCCH blind detection when the signal quality is poor.

Therefore, the PDCCH blind detection method in the related art has the problem that the UE accesses the cell slowly due to the low PDCCH blind detection efficiency.

Disclosure of Invention

The embodiment of the application provides a PDCCH blind detection method, a PDCCH blind detection device, a storage medium and an electronic device, so as to at least solve the problem that UE is slow to access a cell due to low PDCCH blind detection efficiency in the PDCCH blind detection method in the related technology.

According to an aspect of an embodiment of the present application, a PDCCH blind detection method is provided, including: extracting first indication information from MIB data, wherein the first indication information is used for indicating time-frequency resource allocation for executing PDCCH blind detection; determining the polymerization degree grade sequence of PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information; and according to the polymerization degree grade sequence, carrying out PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree grade until the DCI is detected.

According to another aspect of the embodiments of the present application, there is provided a PDCCH blind detection apparatus, including: a first extracting unit, configured to extract first indication information from MIB data, where the first indication information is used to indicate a time-frequency resource configuration used for performing PDCCH blind detection; a first determining unit, configured to determine a polymerization degree rank order of PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information; and the detection unit is used for executing PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree level according to the polymerization degree level sequence until the DCI is detected.

Optionally, the first extraction unit includes: the first module of drawing, above-mentioned device still includes: the device comprises a first matching unit, a first extraction module and a second matching unit, wherein the first extraction module is used for extracting a first index from MIB data of a master information block; and the first matching unit is used for matching the time-frequency resource configuration corresponding to the preset public search space from the first configuration table by using the first index after the first index is extracted from the master information block MIB data, wherein the time-frequency resource configuration comprises time-domain resource configuration and frequency-domain resource configuration.

Optionally, the first determination unit includes: the first determining module is used for determining the number of Control Channel Elements (CCE) allocated to a preset public search space according to the time domain resource allocation and the frequency domain resource allocation; and the second determining module is used for determining the polymerization degree grade sequence for executing the PDCCH blind detection according to the number of the CCEs.

Optionally, the apparatus further comprises: and a second determining unit, configured to determine, according to the number of CCEs, a aggregation level order for performing blind detection on the PDCCH, and then determine, according to the number of CCEs and the aggregation level order, the number of PDCCH candidate sets that need blind detection at each aggregation level.

Optionally, the detection unit comprises: and the detection module is used for executing PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree grade according to the polymerization degree grade sequence and the time slot parameter configuration of the PDCCH blind detection.

Optionally, the apparatus further comprises: a second extracting unit, configured to extract second indication information from the MIB data before performing PDCCH blind detection on a PDCCH candidate set requiring blind detection at each aggregation level according to the aggregation level order and time slot parameter configuration of PDCCH blind detection, where the second indication information is used to indicate time slot parameter configuration used for PDCCH blind detection, and includes a second index; and the second matching unit is used for matching the time slot parameter configuration corresponding to the preset public search space from the second configuration table by using the second index.

Optionally, the apparatus further comprises: a receiving unit, configured to receive downlink data sent by a base station before extracting first indication information from master information block MIB data; and the first demodulation and decoding unit is used for performing demodulation and decoding of a physical broadcast channel PBCH on the downlink data and acquiring MIB data.

Optionally, the apparatus further comprises: an obtaining unit, configured to obtain configuration information of a PDSCH (physical downlink shared channel) according to DCI when the DCI is detected, where the configuration information includes: time frequency resource allocation and frequency domain initial position of PDSCH; and a second demodulation and decoding unit, configured to perform demodulation and decoding of the PDSCH according to the configuration information, so as to obtain system information block SIB1 data.

According to a further embodiment of the application, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the steps of any of the above-described method embodiments when executed.

According to yet another embodiment of the present application, there is also provided an electronic device, comprising a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps of any of the method embodiments described above.

According to the method and the device, first indication information is extracted from MIB data in a mode of PDCCH blind detection according to the configuration information of the MIB, wherein the first indication information is used for indicating time-frequency resource configuration used for executing the PDCCH blind detection; determining the polymerization degree grade sequence of PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information; according to the polymerization degree grade sequence, PDCCH blind detection is carried out on a PDCCH candidate set needing blind detection under each polymerization degree grade until DCI is detected, the polymerization degree grade sequence of the PDCCH blind detection is determined according to time-frequency resource allocation indicated by indication information in MIB data, CQI information reported by UE is not needed, PDCCH blind detection is carried out according to the determined polymerization degree grade sequence, the purpose of reducing the times of PDCCH blind detection can be achieved, the effects of improving PDCCH blind detection efficiency and accelerating UE access cell access speed are achieved, and the problem that UE access cell is slow due to low PDCCH blind detection efficiency in a PDCCH blind detection method in the related technology is solved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.

Fig. 1 is a block diagram of a hardware structure of an alternative user terminal according to an embodiment of the present application;

fig. 2 is a flowchart illustrating an alternative PDCCH blind detection method according to an embodiment of the present application;

fig. 3 is a schematic diagram of an alternative PDCCH blind detection method according to an embodiment of the present application;

fig. 4 is a schematic diagram of another alternative PDCCH blind detection method according to an embodiment of the present application;

fig. 5 is a schematic diagram of another alternative PDCCH blind detection method according to an embodiment of the present application;

fig. 6 is a schematic diagram of another alternative PDCCH blind detection method according to an embodiment of the present application;

fig. 7 is a block diagram of an alternative PDCCH blind detection apparatus according to an embodiment of the present application.

Detailed Description

The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

According to an aspect of an embodiment of the present application, a PDCCH blind detection method is provided. Alternatively, the method may be performed in a user terminal or similar computing device. Taking the example of operating on a server, fig. 1 is a block diagram of a hardware structure of an optional user terminal according to an embodiment of the present application. As shown in fig. 1, the user terminal 10 may include one or more processors 102 (only one is shown in fig. 1), wherein the processor 102 may include, but is not limited to, a processing device such as an MCU (micro controller Unit) or an FPGA (Field Programmable Gate Array) and a memory 104 for storing data, and optionally, the user terminal may further include a transmission device 106 for communication function and an input/output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and is not intended to limit the structure of the user terminal. For example, the user terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

The memory 104 may be used to store a computer program, for example, a software program and a module of an application software, such as a computer program corresponding to the PDCCH blind detection method in the embodiment of the present application, and the processor 102 executes the computer program stored in the memory 104 to execute various functional applications and data processing, i.e., to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the user terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the user terminal 10. In one example, the transmission device 106 includes a NIC (Network Interface Controller) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be an RF (Radio Frequency) module, which is used for communicating with the internet in a wireless manner.

In this embodiment, a PDCCH blind detection method operating in the user equipment is provided, and fig. 2 is a schematic flowchart of an optional PDCCH blind detection method according to an embodiment of the present application, and as shown in fig. 2, the flowchart includes the following steps:

step S202, extracting first indication information from MIB data, wherein the first indication information is used for indicating time-frequency resource allocation for executing PDCCH blind detection;

step S204, determining a polymerization degree grade sequence of PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information;

step S206, according to the polymerization degree grade sequence, PDCCH blind detection is carried out on the PDCCH candidate sets which need blind detection under each polymerization degree grade until DCI is detected.

Optionally, the main body of the above steps may be a user terminal, etc., but is not limited thereto, and other apparatuses capable of PDCCH blind detection may be all used to execute the method in the embodiment of the present application.

Alternatively, the PDCCH blind detection method in the embodiment of the present application may be applied to, but not limited to, an integration algorithm in an AR (Augmented Reality) solution at a mobile end, a basic algorithm of an avatar, or a motion capture scheme in animation production and movie production, and the like.

According to the embodiment, a PDCCH blind detection mode is adopted according to the configuration information of the MIB, the polymerization degree grade sequence of PDCCH blind detection is determined according to the time-frequency resource configuration indicated by the indication information in the MIB data, CQI information reported by UE is not needed, PDCCH blind detection is carried out according to the determined polymerization degree grade sequence, the purpose of reducing the times of PDCCH blind detection can be achieved, the problem that UE is slow in cell access due to low PDCCH blind detection efficiency in a PDCCH blind detection method in the related technology is solved, PDCCH blind detection efficiency is improved, and the access speed of the UE to the cell is increased.

The PDCCH blind detection method in the embodiment of the present application is described below with reference to fig. 2.

In step S202, first indication information is extracted from the MIB data, where the first indication information is used to indicate a time-frequency resource configuration for performing PDCCH blind detection.

In the 5G system, the cell search is mainly completed by solving the MIB and the SIB1, and the initial access of the cell is completed.

As an alternative embodiment, the UE may first decode the MIB information: receiving downlink data sent by a base station; and executing PBCH demodulation and decoding on the downlink data to acquire MIB data.

The UE may receive downlink data of the base station, complete demodulation and decoding of the PBCH channel, and obtain MIB data (MIB information).

By the embodiment, the accuracy of the obtained MIB data can be ensured by performing PBCH demodulation and decoding on the downlink data of the base station to obtain the MIB data.

The UE may have a function of parsing MIB data. For example, as shown in fig. 3, the UE may include a MIB information parsing unit for parsing MIB data. For obtaining the MIB data, the UE may use the MIB information parsing unit to complete parsing the MIB data.

For MIB information parsed from MIB data, extraction of required information may be performed. For example, as shown in fig. 3, the UE may include a common search space configuration indication extracting unit 1 for extracting a configuration indication 1 (first indication information). The common search space configuration indication extracting unit 1 may obtain a time-frequency resource configuration indication used for PDCCH blind detection, that is, a configuration indication 1, from the parsed MIB data.

In step S204, according to the time-frequency resource configuration indicated by the first indication information, a degree of polymerization ranking of PDCCH blind detection is determined.

After obtaining the first indication information, the video resource configuration indicated by the first indication information may be obtained so as to determine the aggregation level order of PDCCH blind detection.

As an alternative embodiment, the first indication information may include a first index, and the first index may match out the time-frequency resource configuration from the first configuration table. Using the first index, a time-frequency resource configuration corresponding to the predetermined common search space may be matched from the first configuration table, where the time-frequency resource configuration includes a time-frequency resource configuration and a frequency-frequency resource configuration.

The predetermined common search space may be one of various types of common search spaces in a 5G system, for example, a Type0-PDCCH common search space. For the Type0-PDCCH common search space, the time domain resource configuration and the frequency domain resource configuration corresponding to the predetermined common search space may be matched from the first configuration table using the first index. The time domain resource may refer to the number of allocated OFDM symbols, and the frequency domain resource may refer to the number of allocated RBs.

Optionally, using the first index, a frequency domain position corresponding to the predetermined common search space may also be matched from the first configuration table.

For example, as shown in fig. 4, the UE may include a Type0-PDCCH common search space configuration extraction unit 1 for obtaining a time domain resource configuration, a frequency domain resource configuration and a frequency domain position corresponding to a Type0-PDCCH common search space. According to the obtained configuration indication 1, the UE may obtain a time domain resource configuration, a frequency domain resource configuration and a frequency domain position corresponding to the Type0-PDCCH common search space using the Type0-PDCCH common search space configuration extraction unit 1.

The first configuration table may be as shown in table 1, a first column indicates an Index (Index) corresponding to the first Index, a second column indicates a SSB block and a CORESET multiplexing pattern (i.e., SS/PBCH block and CORESET multiplexing pattern), a third column indicates a number of Resource Blocks (RBs), a fourth column indicates a number of OFDM symbols, and a fifth column indicates an Offset or Offset (Offset) in units of RBs, wherein the SSB includes a primary synchronization signal, a secondary synchronization signal, and a PBCH channel occupied by the MIB, which may be understood as a broadcast signal.

TABLE 1

Index	SSB block and CORESET reuse pattern	Number of RB	Number of symbols	Offset (RBs)
					0	1	24	2	0
1	1	24	2	1
					2	1	24	2	2
3	1	24	2	3
					4	1	24	2	4
5	1	24	3	0
					6	1	24	3	1
7	1	24	3	2
					8	1	24	3	3
9	1	24	3	4
					10	1	48	1	12
11	1	48	1	14
					12	1	48	1	16
13	1	48	2	12
					14	1	48	2	14
15	1	48	2	16

By the embodiment, the time-frequency resource configuration is matched from the first configuration table according to the first index, so that the efficiency of obtaining the time-frequency resource configuration can be improved.

After the time-frequency resource configuration (time domain resource configuration and frequency domain resource configuration) indicated by the first indication information is obtained, the polymerization degree grade sequence of the PDCCH blind detection can be determined according to the time-frequency resource configuration.

For example, the time-frequency resource configuration may be used to match the aggregation level order of the PDCCH blind detection according to a pre-configured correspondence between the time-frequency resource configuration and the aggregation level order.

As an alternative embodiment, determining the order of the degree of aggregation for PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information includes: determining the number of Control Channel Elements (CCE) allocated to a preset public search space according to the time domain resource allocation and the frequency domain resource allocation; and determining the polymerization degree grade sequence for executing PDCCH blind detection according to the number of CCEs.

The UE may have the capability of calculating the aggregation level order according to the time domain resource configuration and the frequency domain resource configuration. For example, as shown in fig. 3, the UE may include a PDCCH blind detection aggregation level order calculating unit, configured to calculate a PDCCH blind detection aggregation level order. For time-frequency resource configuration, the UE can use the PDCCH blind detection polymerization degree grade order calculation unit to obtain the time domain resources, namely the number of OFDM symbols

Frequency domain resources, i.e. number of RBs

Calculating the number of CCEs allocated by Type0-PDCCH common search space

The calculation may be as shown in equation (1):

according to

Value of (3), PDCCH blind detection polymerization degree grade order calculationThe unit can complete the PDCCH blind detection polymerization degree grade sequential calculation, the sequential calculation formula can be shown as formula (2),

by the embodiment, the polymerization degree rank order for executing the PDCCH blind detection is determined according to the time-frequency resource configuration indicated by the first indication information, so that the reasonability of the determined polymerization degree rank order can be improved, and the frequency of PDCCH blind detection can be reduced.

For the blind detection of the PDCCH candidate set, the candidate set with the largest average power under each aggregation level may be blind detected according to the current aggregation level sequence.

As an alternative embodiment, after determining the aggregation level rank order for performing blind PDCCH detection according to the number of CCEs, the number of PDCCH candidate sets requiring blind detection at each aggregation level may be determined according to the number of CCEs and the aggregation level rank order.

Besides the aggregation level sequence of the PDCCH blind detection, the number of PDCCH candidate sets needing blind detection under each aggregation level can be determined according to the number of CCEs and the aggregation level sequence.

For example, the PDCCH blind detection aggregation level order calculating unit or other units may calculate the number of PDCCH candidate sets that need blind detection in each aggregation level, and the calculating manner may be as shown in formula (3):

by the embodiment, the number of the PDCCH candidate sets needing blind detection under each polymerization degree grade is determined according to the number of CCEs and the polymerization degree grade sequence, the accuracy of determining the number of the PDCCH candidate sets needing blind detection can be improved, and the PDCCH blind detection efficiency is improved.

In step S206, PDCCH blind detection is performed on the PDCCH candidate sets that need blind detection at each aggregation level according to the aggregation level order until DCI is detected.

After the order of the aggregation level is determined, PDCCH blind detection may be performed on the PDCCH candidate set that needs blind detection at each aggregation level until DCI is detected. For example, the PDCCH blind detection is performed on the PDCCH candidate sets that need blind detection at each aggregation level in turn according to the aggregation level order. And if the needed DCI is detected in the current PDCCH blind detection, finishing the PDCCH blind detection and outputting a DCI value. And if the required DCI is not detected, continuing to perform next PDCCH blind detection until the required DCI is detected, or performing blind detection on PDCCH candidate sets which need blind detection at each polymerization degree level.

If the required DCI is not detected after the blind detection has been performed on the PDCCH candidate sets that need blind detection at each aggregation level, this may send indication information indicating that the DCI is not detected to the base station, or perform the PDCCH blind detection on the PDCCH candidate sets that need blind detection at each aggregation level again, and the specific processing manner may be set as needed, which is not specifically limited in this embodiment.

As an alternative embodiment, performing PDCCH blind detection on a PDCCH candidate set requiring blind detection at each aggregation level according to the aggregation level order includes: and performing PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree grade according to the polymerization degree grade sequence and the time slot parameter configuration of the PDCCH blind detection.

Besides the aggregation level sequence, the PDCCH blind detection can be performed on the PDCCH candidate sets requiring blind detection at each aggregation level according to the time slot parameter configuration of the PDCCH blind detection.

For example, as shown in fig. 3, the UE may send the PDCCH blind detection aggregation level order, the number of PDCCH candidate sets that need blind detection at each aggregation level, and the time slot parameter corresponding to the PDCCH blind detection unit, complete PDCCH blind detection, and output a DCI value.

Through the embodiment, the PDCCH blind detection is completed according to the polymerization degree grade sequence and the time slot parameter configuration of the PDCCH blind detection, and the PDCCH blind detection efficiency can be improved.

As an optional embodiment, before performing PDCCH blind detection on a PDCCH candidate set requiring blind detection at each aggregation level according to an aggregation level order and timeslot parameter configuration of PDCCH blind detection, second indication information may be extracted from MIB data, where the second indication information is used to indicate timeslot parameter configuration used for PDCCH blind detection, and the second indication information is a second index; and matching the time slot parameter configuration corresponding to the preset public search space from the second configuration table by using the second index.

The slot parameter configuration for PDCCH blind detection may be indicated by second indication information in the MIB information. The second indication information may include a second index. The second index may be extracted from the MIB data. After the second index is extracted, the timeslot parameter configuration corresponding to the predetermined common search space may be matched from the second configuration table using the second index.

For example, as shown in fig. 5, the UE may include a common search space configuration indication extracting unit 2 for extracting a configuration indication 2 (second indication information, second index). The common search space configuration indication extracting unit 2 may obtain a time slot information indication, i.e., a configuration indication 2, corresponding to PDCCH blind detection from the parsed MIB data. The UE may further include a Type0-PDCCH common search space configuration extraction unit 2, configured to extract a slot parameter configuration corresponding to a Type0-PDCCH common search space. According to the obtained configuration indication 2, the UE can extract the slot parameter configuration corresponding to the Type0-PDCCH common search space using the Type0-PDCCH common search space configuration extraction unit 2.

For SSB block and CORESET reuse pattern 1, the UE may select from slot n at Type0-PDCCH CSS set ₀ The PDCCH is detected on the first two consecutive slots. In order to ensure coverage, one cell transmits a plurality of SSB blocks, each SSB block corresponds to one SIB1, and the PDCCH and PDSCH corresponding to SIB1 are located in the same time slot. For the SSB block with index i, the UE may determine the slot n according to equation (4) ₀ Index of (2):

wherein μ ∈ {0,1,2,3}, corresponding to subcarrier spacing, 0 denotes 15KHz, 1 denotes 30KHz, 2 denotes 60KHz, and 3 denotes 120 KHz;

the number of time slots contained in a frame of data under different subcarrier intervals is 10 at 15KHz, 20 at 30KHz, 40 at 60KHz, 80 at 120KHz, and M and O are two coefficients. In the second configuration table shown in table 2, the first column indicates an index (corresponding to the second index), the second column and the fourth column are two coefficients, and the fifth column indicates the index in the slot n _c Is the index of the first symbol of the CORESET.

TABLE 2

It should be noted that the timeslot parameter configuration is extracted according to the second indication information (for example, the second index), and each timeslot parameter may be directly configured in the second configuration table, or determined by calculation through the timeslot parameter configured in the second configuration table, and the timeslot parameter is obtained from the second indication information, which is not specifically limited in this embodiment.

By the embodiment, the time slot parameter configuration is matched from the second configuration table according to the second index, so that the efficiency of obtaining the time frequency resource configuration can be improved.

After DCI is detected, SIB1 information may be acquired according to the detected DCI.

As an optional embodiment, in the case that the DCI is detected, configuration information of the PDSCH is acquired according to the DCI, where the configuration information includes: time frequency resource allocation and frequency domain initial position of PDSCH; according to the configuration information, demodulation and decoding of the PDSCH are carried out, and SIB1 data are obtained.

The UE may include a PDSCH resource configuration resolution unit and a PDSCH resolution unit. The PDSCH resource allocation parsing unit may obtain the time-frequency resource allocation and the frequency-domain starting position of the PDSCH according to the DCI information. And the PDSCH analysis unit completes demodulation and decoding of the PDSCH according to the acquired configuration information to acquire SIB1 data.

By the embodiment, the SIB1 data is acquired according to the DCI, so that cell search can be facilitated, and cell initial access can be completed.

After determining the DCI and the SIB1, the UE may perform cell search to complete initial access of a cell. The cell search and cell initial access processes may refer to related technologies, which are not specifically limited in this embodiment.

The PDCCH blind detection method described above is explained below with reference to an alternative example. The PDCCH blind detection method in this example is a self-adaptive PDCCH blind detection method applied to 5G cell search, and when a cell is searched, the PDCCH blind detection is accelerated by using the configuration information of the MIB, thereby accelerating the UE access to the cell.

As shown in fig. 6, the PDCCH blind detection method in this example may include the following steps:

step 1, UE receives downlink data of a base station.

And step 2, the MIB information analysis unit completes the demodulation and decoding of the PBCH, acquires MIB data and completes the analysis of the MIB data.

And step 3, the public search space configuration indication extraction unit 1 obtains a time-frequency resource configuration indication used for PDCCH blind detection, namely a configuration indication 1, from the analyzed MIB data.

And 4, extracting the time domain, frequency domain resource configuration and frequency domain position corresponding to the Type0-PDCCH public search space by the Type0-PDCCH public search space configuration extraction unit 1 according to the configuration indication 1 and in combination with the 38.213 protocol.

And step 5, calculating the number of CCEs (control channel elements) distributed in the Type0-PDCCH public search space by the PDCCH blind detection polymerization degree grade sequence calculating unit according to time domain resources and frequency domain resources, calculating the PDCCH blind detection polymerization degree grade sequence according to the number of the CCEs, and calculating the number of PDCCH candidate sets needing blind detection under each polymerization degree grade.

Step 6, the public search space configuration indication extracting unit 2 obtains the time slot information indication corresponding to the PDCCH blind detection, namely the configuration indication 2, from the parsed MIB data.

The common search space configuration indication extracting unit 2 may obtain the configuration indication 2 of Type0-PDCCH common search space according to MIB information, and is mainly used to extract time slot information corresponding to PDCCH blind detection.

And 7, extracting the time slot parameter configuration corresponding to the Type0-PDCCH common search space by the Type0-PDCCH common search space configuration extracting unit 2 according to the obtained configuration indication 2.

The Type0-PDCCH common search space configuration extraction unit 2 can extract the slot parameter configuration corresponding to the Type0-PDCCH common search space according to the configuration indication 2 and by combining with the 38.213 protocol.

And 8, according to the PDCCH blind detection polymerization degree grade sequence obtained in the step 5, the number of PDCCH candidate sets needing blind detection under each polymerization degree grade and the time slot parameters obtained in the step 7, the PDCCH blind detection unit completes PDCCH blind detection and obtains DCI information (output DCI value).

And 9, the PDSCH resource configuration analysis unit acquires the time-frequency resource configuration and the frequency domain starting position of the PDSCH according to the DCI information.

And step 10, the PDSCH analyzing unit completes the demodulation and decoding of the PDSCH according to the acquired configuration information to acquire SIB1 data.

According to the embodiment, the pre-configured information obtained by using the MIB information is used for determining the blind detection polymerization degree grade sequence, and since the downlink signal of the base station has longer coverage distance and stronger transmitting power, the downlink signal is used for calculation, CQI information reported by UE is not needed, the number of times of blind detection of PDCCH can be reduced, and the access of the UE cell is accelerated.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.

According to another aspect of the embodiments of the present application, there is provided a PDCCH blind detection apparatus for implementing the PDCCH blind detection method in the foregoing embodiments. Optionally, the apparatus is used to implement the above embodiments and preferred embodiments, and details are not repeated for what has been described. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.

Fig. 7 is a block diagram of an alternative PDCCH blind detection apparatus according to an embodiment of the present application, and as shown in fig. 7, the apparatus includes:

(1) a first extracting unit 72, configured to extract first indication information from MIB data, where the first indication information is used to indicate a time-frequency resource configuration used for performing PDCCH blind detection;

(2) the first determining unit 74 is connected to the first extracting unit 72, and configured to determine the aggregation level order of the PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information;

(3) and the detecting unit 76 is connected to the first determining unit 74, and is configured to perform PDCCH blind detection on the PDCCH candidate sets that need blind detection at each aggregation level according to the aggregation level sequence until the downlink control information DCI is detected.

Alternatively, the first extracting unit 72 may be used in step S202 in the above-described embodiment, the first determining unit 74 may be used in step S204 in the above-described embodiment, and the detecting unit 76 may be used to perform step S206 in the above-described embodiment.

As an alternative embodiment, the first extraction unit 72 includes: the first module of drawing, above-mentioned device still includes: a first matching unit, wherein,

(1) the first extraction module is used for extracting a first index from the MIB data;

(2) and the first matching unit is used for matching the time-frequency domain resource configuration corresponding to the preset public search space from the first configuration table by using the first index after the first index is extracted from the MIB data, wherein the time-frequency domain resource configuration comprises the time domain resource configuration and the frequency domain resource configuration.

As an alternative embodiment, the first determining unit 74 includes:

(1) the first determining module is used for determining the number of Control Channel Elements (CCE) allocated to a preset public search space according to the time domain resource allocation and the frequency domain resource allocation;

(2) and the second determining module is used for determining the polymerization degree grade sequence for executing the PDCCH blind detection according to the number of the CCEs.

As an alternative embodiment, the apparatus further comprises:

(1) and a second determining unit, configured to determine, according to the number of CCEs, a aggregation level order for performing blind detection on the PDCCH, and then determine, according to the number of CCEs and the aggregation level order, the number of PDCCH candidate sets that need blind detection at each aggregation level.

As an alternative embodiment, the detection unit 76 includes:

and the detection module is used for executing PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree grade according to the polymerization degree grade sequence and the time slot parameter configuration of the PDCCH blind detection.

As an alternative embodiment, the apparatus further comprises:

(1) a second extracting unit, configured to extract second indication information from the MIB data before performing PDCCH blind detection on a PDCCH candidate set requiring blind detection at each aggregation level according to the aggregation level order and time slot parameter configuration of PDCCH blind detection, where the second indication information is used to indicate time slot parameter configuration used for PDCCH blind detection, and includes a second index;

(2) and the second matching unit is used for matching the time slot parameter configuration corresponding to the preset public search space from the second configuration table by using the second index.

As an alternative embodiment, the apparatus further comprises:

(1) a receiving unit, configured to receive downlink data sent by a base station before extracting the first indication information from the MIB data;

(2) and the first demodulation and decoding unit is used for performing demodulation and decoding of a physical broadcast channel PBCH on the downlink data to acquire MIB data.

As an alternative embodiment, the apparatus further comprises:

(1) an obtaining unit, configured to obtain configuration information of a PDSCH (physical downlink shared channel) according to DCI when the DCI is detected, where the configuration information includes: time frequency resource allocation and frequency domain initial position of PDSCH;

(2) and a second demodulation and decoding unit, configured to perform demodulation and decoding of the PDSCH according to the configuration information, and obtain system information block SIB1 data.

It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.

According to yet another aspect of embodiments herein, there is provided a computer-readable storage medium. Optionally, the storage medium has a computer program stored therein, where the computer program is configured to execute the steps in any one of the methods provided in the embodiments of the present application when the computer program is executed.

Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:

s1, extracting first indication information from MIB data, wherein the first indication information is used for indicating time-frequency resource allocation for executing PDCCH blind detection;

s2, determining the polymerization degree grade sequence of PDCCH blind detection according to the time-frequency resource configuration indicated by the first indication information;

and S3, according to the polymerization degree grade sequence, carrying out PDCCH blind detection on the PDCCH candidate sets which need blind detection under each polymerization degree grade until the DCI is detected.

Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a ROM (Read-Only Memory), a RAM (Random Access Memory), a removable hard disk, a magnetic disk, or an optical disk.

According to still another aspect of an embodiment of the present application, there is provided an electronic apparatus including: a processor (which may be the processor 102 in fig. 1) and a memory (which may be the memory 104 in fig. 1) having a computer program stored therein, the processor being configured to execute the computer program to perform the steps of any of the above methods provided in embodiments of the present application.

Optionally, the electronic apparatus may further include a transmission device (the transmission device may be the transmission device 106 in fig. 1) and an input/output device (the input/output device may be the input/output device 108 in fig. 1), wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.

Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:

Optionally, for an optional example in this embodiment, reference may be made to the examples described in the above embodiment and optional implementation, and this embodiment is not described herein again.

It will be apparent to those skilled in the art that the modules or steps of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the principle of the present application shall be included in the protection scope of the present application.

Claims

1. A PDCCH blind detection method is characterized by comprising the following steps:

extracting first indication information from MIB data of a master information block, wherein the execution comprises the following steps: extracting a first index from MIB data of a master information block; matching time-frequency resource configuration corresponding to a preset public search space from a first configuration table by using the first index, wherein the time-frequency resource configuration comprises time-frequency resource configuration and frequency-domain resource configuration; the first indication information is used for indicating the time-frequency resource allocation used for executing the PDCCH blind detection;

according to the time-frequency resource configuration indicated by the first indication information, determining a polymerization degree grade sequence of PDCCH blind detection, and executing the steps of: determining the number of Control Channel Elements (CCE) allocated to the predetermined public search space according to the time domain resource allocation and the frequency domain resource allocation; determining the polymerization degree grade sequence for executing PDCCH blind detection according to the number of CCEs;

and according to the polymerization degree grade sequence, carrying out PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree grade until the DCI is detected.

2. The method of claim 1, wherein after the determining the aggregation level order for performing PDCCH blind detection according to the number of CCEs, the method further comprises:

and determining the number of the PDCCH candidate sets needing blind detection under each polymerization degree grade according to the number of the CCEs and the polymerization degree grade sequence.

3. The method of claim 1, wherein the performing, according to the aggregation level ranking order, PDCCH blind detection on the PDCCH candidate sets requiring blind detection at each aggregation level comprises:

and performing PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree according to the polymerization degree grade sequence and the time slot parameter configuration of PDCCH blind detection.

4. The method according to claim 3, wherein before performing PDCCH blind detection on the PDCCH candidate sets requiring blind detection at the respective aggregation levels according to the aggregation level order and the slot parameter configuration of PDCCH blind detection, the method further comprises:

extracting second indication information from the MIB data, wherein the second indication information is used for indicating time slot parameter configuration used by PDCCH blind detection, and the second indication information comprises a second index;

and matching the time slot parameter configuration corresponding to the preset public search space from a second configuration table by using the second index.

5. The method of claim 1, wherein prior to said extracting the first indication information from the master information block, MIB, data, the method further comprises:

receiving downlink data sent by a base station;

and demodulating and decoding the physical broadcast channel PBCH on the downlink data to acquire MIB data.

6. The method of any of claims 1 to 5, wherein if the DCI is detected, the method further comprises:

acquiring configuration information of a Physical Downlink Shared Channel (PDSCH) according to the DCI, wherein the configuration information comprises: time frequency resource allocation and frequency domain initial position of PDSCH;

and according to the configuration information, performing demodulation and decoding of the PDSCH to obtain system information block SIB1 data.

7. A PDCCH blind detection apparatus, comprising:

a first extraction unit configured to extract first indication information from master information block MIB data, the execution including: extracting a first index from MIB data of a master information block; matching time-frequency resource configuration corresponding to a preset public search space from a first configuration table by using the first index, wherein the time-frequency resource configuration comprises time-frequency resource configuration and frequency-domain resource configuration; the first indication information is used for indicating the time-frequency resource allocation for executing the PDCCH blind detection;

a first determining unit, configured to determine, according to the time-frequency resource configuration indicated by the first indication information, a degree of aggregation level sequence for PDCCH blind detection, where the performing includes: determining the number of Control Channel Elements (CCE) allocated to the preset public search space according to the time domain resource allocation and the frequency domain resource allocation; determining the polymerization degree grade sequence for executing PDCCH blind detection according to the number of CCEs;

and the detection unit is used for executing PDCCH blind detection on the PDCCH candidate sets needing blind detection under each polymerization degree level according to the polymerization degree level sequence until the DCI is detected.

8. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 6 when executed.