WO2022022540A1

WO2022022540A1 - Dci acquisition method and apparatus, and storage medium

Info

Publication number: WO2022022540A1
Application number: PCT/CN2021/108787
Authority: WO
Inventors: 陈李
Original assignee: 中兴通讯股份有限公司
Priority date: 2020-07-30
Filing date: 2021-07-28
Publication date: 2022-02-03
Also published as: CN114064252A

Abstract

Provided are a DCI acquisition method and apparatus, and a storage medium, which belong to the field of wireless communications. The method comprises: creating a plurality of threads that match a plurality of candidate sets to be processed in number; and performing blind detection processing on each candidate set in parallel by means of the plurality of threads, so as to acquire a plurality of pieces of downlink control information (DCI). By means of the technical solution of the embodiments of the present application, the efficiency of blind detection in a large-scale user environment is effectively improved, and a plurality of pieces of downlink control information (DCI) can be quickly acquired.

Description

DCI acquisition method, device and storage medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is based on the Chinese patent application CN202010754414.9 filed on July 30, 2020 with the title of "DCI acquisition method, device and storage medium", and claims the priority of the patent application, and all the contents disclosed therein are incorporated by reference Incorporated into this application.

technical field

The present application relates to the field of wireless communication technologies, and in particular, to a DCI acquisition method, device, and storage medium.

Background technique

With the development of wireless communication technology, the number of users has surged. In order to develop products that meet real-world requirements, a large-scale user environment must be simulated in the laboratory that is consistent with the commercial environment. However, in a large-scale user environment, the prior art searches for downlink control information (Downlink Control Information, DCI for short) of a single user, that is, a terminal can only handle one user, and the DCI acquisition efficiency is extremely low. In this case, only the same number of terminals as the number of users can be used for searching, resulting in huge cost of hardware and space. Therefore, how to improve the DCI acquisition efficiency in a large-scale user environment and reduce the cost of hardware and space has become an urgent problem to be solved.

SUMMARY OF THE INVENTION

The main purpose of the embodiments of the present application is to provide a DCI acquisition method, device and storage medium, aiming to realize the DCI acquisition of large-scale users through a single hardware terminal, and effectively improve the blind detection of physical downlink control channels in the large-scale user environment. efficiency, reducing hardware and space costs.

In a first aspect, an embodiment of the present application provides a method for acquiring DCI, including:

Create multiple threads matching the number of multiple candidate sets to be processed;

Blind detection processing is performed on each of the candidate sets in parallel by the multiple threads, so as to obtain multiple downlink control information DCIs.

In a second aspect, an embodiment of the present application further provides an apparatus for obtaining DCI, where the apparatus for obtaining DCI includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for implementing the A data bus connecting and communicating between a processor and the memory, wherein when the computer program is executed by the processor, the steps of any of the DCI acquisition methods provided by the embodiments of the present application are implemented.

In a third aspect, embodiments of the present application further provide a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be processed by one or more programs to implement the steps of any of the DCI acquisition methods provided by the embodiments of the present application.

Embodiments of the present application provide a method, device, and storage medium for acquiring DCI. The embodiments of the present application create multiple threads that match the number of multiple candidate sets to be processed, and use multiple threads to process each candidate set in parallel. Blind detection processing is performed on the set, and multiple downlink control information DCIs can be obtained. The embodiment of the present application can realize the DCI acquisition of large-scale users through a single hardware terminal, without using multiple hardware terminals with the same number of users, effectively improving the blind detection efficiency of the physical downlink control channel in the large-scale user environment, and Reduced hardware and space costs.

Description of drawings

1 is a schematic flowchart of steps of a method for obtaining a DCI provided by an embodiment of the present application;

Fig. 2 is the sub-step flowchart schematic diagram of the DCI acquisition method in Fig. 1;

3 is a schematic diagram of implementing parallel descrambling processing provided by an embodiment of the present application;

FIG. 4 is another schematic diagram of implementing parallel descrambling processing provided by an embodiment of the present application;

FIG. 5 is a schematic structural block diagram of a DCI acquisition apparatus provided by an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

The flowcharts shown in the figures are for illustration only, and do not necessarily include all contents and operations/steps, nor do they have to be performed in the order described. For example, some operations/steps can also be decomposed, combined or partially combined, so the actual execution order may be changed according to the actual situation.

It should be understood that the terms used in the specification of the present application herein are for the purpose of describing particular embodiments only and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural unless the context clearly dictates otherwise.

Embodiments of the present application provide a DCI acquisition method, device, and storage medium. Wherein, the DCI acquisition method can be applied to a mobile terminal or a server, the mobile terminal can be an electronic device such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, etc., and the server can be a single server or multiple servers. composed of server clusters. The following takes the DCI acquisition method applied to the server as an example for explanation.

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

Please refer to FIG. 1 , which is a schematic flowchart of steps of a method for acquiring a DCI according to an embodiment of the present application.

As shown in FIG. 1 , the DCI acquisition method includes steps S101 to S102.

Step S101 , creating multiple threads matching the number of multiple candidate sets to be processed.

In a large-scale user environment, the number of user equipment UEs is extremely large. When blind detection is performed on a very large number of user equipment UEs, there are multiple candidate sets (Candidate Sets, CS for short) to be processed in each time slot. However, the existing technologies are all solutions for searching the downlink control information DCI (Downlink Control Information, DCI) of a single user equipment UE. For a multi-user environment, it is necessary to use a large number of terminals to downlink multiple user equipment UEs. The acquisition of control information DCI leads to huge cost of hardware and space. Therefore, by creating multiple threads matching the number of multiple candidate sets to be processed on a single hardware terminal, and performing blind detection processing on each candidate set in parallel through the created multiple threads, a large The DCI search for large-scale users effectively improves the blind detection efficiency of the Physical Downlink Control Channel (PDCCH) in the large-scale user environment, and saves a lot of hardware and space costs.

In one embodiment, the number of candidate sets to be processed is determined, and a number of threads are created that match the number of candidate sets to be processed. The number of multiple candidate sets to be processed may be the real-time number, average number, median or maximum number of multiple candidate sets to be processed in each time slot, or may be the number of candidate sets to be processed in each subframe The real-time number, average, median, or maximum number of multiple candidate sets are not specifically limited in this embodiment. The number of multiple threads can be equal to the number of multiple candidate sets, or it can be larger or smaller than the number of the above multiple candidate sets. Users can also set the number of multiple threads according to the actual situation. Optionally, when one There are 5 candidate sets to be processed under the slot, that is, 5 threads are created, and each thread correspondingly processes a candidate set.

In one embodiment, determining the number of multiple candidate sets to be processed includes: acquiring the aggregation degree of the control channel element CCE (Control Channel Element, referred to as CCE for short) occupied by the multiple candidate sets to be processed, and each control The total number corresponding to the aggregation degrees of the channel element CCEs; the number of multiple candidate sets to be processed is determined according to the aggregation degrees of the control channel element CCEs and the total number corresponding to the aggregation degrees of each control channel element CCE. It should be noted that the aggregation degrees of CCEs occupied by the candidate set include 1, 2, 4, 8, and 16, each CCE includes 9 REGs (Resource Element Group), and each REG includes 4 REs (Resource Element), that is to say, a CCE is a continuous resource block containing 36 REs.

Exemplarily, the aggregation degree of control channel element CCEs occupied by multiple candidate sets is 4, and the total number of control channel element CCEs whose aggregation degree is 4 is 16, then the number of multiple candidate sets to be processed is the total number of CCEs. The number is divided by the aggregation degree of CCE, i.e. the number of multiple candidate sets is 4.

Exemplarily, the aggregation degrees of the control channel elements CCEs occupied by the multiple candidate sets include 4 and 8, the total number of control channel elements CCEs with an aggregation degree of 4 is 16, and the total number of control channel elements CCEs with an aggregation degree of 8 is also 16. is 16, then the first number of multiple candidate sets to be processed is the total number of CCEs with an aggregation degree of 4. 16 divided by 4 is equal to 4, and the second number of multiple candidate sets to be processed is CCEs with an aggregation degree of 8. The total number of 16 divided by 8 equals 2. The number of the multiple candidate sets is the sum of the first number 4 and the second number 2, that is, the number of the multiple candidate sets is 6.

In one embodiment, the server includes a thread management module configured to determine the number of multiple candidate sets to be processed, and to create multiple threads matching the number of multiple candidate sets to be processed, so that It can perform blind detection processing on each candidate set in parallel by creating multiple threads, so as to realize the DCI search of large-scale users, and effectively improve the blind detection efficiency in the large-scale user environment.

Step S102 , performing blind detection processing on each candidate set in parallel by multiple threads to obtain multiple downlink control information DCIs.

After multiple threads are created, blind detection processing is performed on each candidate set in parallel by multiple threads, so as to obtain multiple downlink control information DCIs. The DCI acquisition of a large-scale user is realized on a single hardware terminal, which effectively improves the blind detection efficiency of the physical downlink control channel in the large-scale user environment, and reduces a lot of hardware and space costs.

In one embodiment, the server includes a plurality of candidate set reading modules, each candidate set reading module corresponds to a candidate set, and is configured to determine the frequency position to which the corresponding candidate set belongs, and determine the frequency position to which the corresponding candidate set belongs. The frequency position of the corresponding candidate set is read, so that multiple threads can acquire multiple candidate sets in parallel, and the efficiency of blind detection in a multi-user environment is improved. It can be understood that the candidate set reading modules may also correspond to threads one-to-one, so as to obtain multiple candidate sets in parallel through the candidate set reading modules of multiple threads, which is not specifically limited in this embodiment.

In an embodiment, as shown in FIG. 2 , step S102 includes: sub-steps S1021 to S1022 .

Sub-step S1021, performing demodulation and first descrambling processing on each candidate set in parallel by multiple threads to obtain a target candidate set of each candidate set.

Wherein, performing demodulation and first descrambling processing on each candidate set to obtain the target candidate set of each candidate set, including: determining the demodulation reference signal DMRS of each candidate set; according to each demodulation reference signal DMRS, Perform demodulation processing on the corresponding candidate sets to obtain the original candidate set of each candidate set; determine the scrambling code of each original candidate set; according to the scrambling code of each original candidate set, decompose the corresponding original candidate set. scrambling to obtain the target candidate set of each candidate set.

It should be noted that each candidate set is demodulated according to the demodulation formula specified in the protocol, so as to convert the plurality of candidate sets from symbol data to bit data. Similarly, each original candidate set is descrambled according to the descrambling formula specified in the protocol, so as to complete the descrambling of the candidate set and obtain multiple target candidate sets. It should be noted that the protocol referred to in the embodiments of the present application is the 3rd Generation Partnership Project (3rd Generation Partnership Project, 3GPP for short) protocol, and no further explanation will be given in the following.

Exemplarily, the server includes multiple demodulation modules and multiple first descrambling modules. Each demodulation module and each first descrambling module corresponds to a candidate set, and the demodulation module is set to perform demodulation processing on the candidate set according to the demodulation reference signal DMRS to obtain the original candidate set of the candidate set, and the first descrambling set The module is set to descramble the original candidate set to obtain the target candidate set for each candidate set. With multiple demodulation modules and multiple first descrambling modules corresponding to multiple candidate sets, it is convenient for multiple threads to perform demodulation and first descrambling processing on each candidate set in parallel, effectively improving the large-scale user environment efficiency of blind detection.

In an embodiment, the step of determining the demodulation reference signal DMRS of each candidate set includes: acquiring the demodulation reference signal identifier DMRS-ID of each candidate set; performing a pairwise comparison between each DMRS-ID and each candidate set combining to obtain a plurality of first combined data; according to the first combined data corresponding to each candidate set, determine the demodulation reference signal DMRS of each candidate set.

It should be noted that, according to the protocol, each user equipment UE may be configured with the same demodulation reference signal identifier DMRS-ID, or may be configured with different demodulation reference signal identifiers DMRS-ID. If each user equipment UE is configured with the same DMRS-ID, the DMRS-ID is combined with each candidate set in pairs, the DMRS-ID corresponding to each candidate set is the same, and the DMRS-ID of each candidate set is the same. The calculation result of the demodulation reference signal DMRS is also the same. It is only necessary to calculate one demodulation reference signal DMRS for multiple candidate sets. Demodulation processing is performed on each candidate set.

It should be noted that if each user equipment UE is configured with a different demodulation reference signal identifier DMRS-ID, and each DMRS-ID is combined with each candidate set in pairs, each candidate set corresponds to a plurality of DMRSs. -ID, to obtain a plurality of first combination data, and each first combination data includes a DMRS-ID and a candidate set. Based on the calculation formula of DMRS stipulated in the protocol, according to the first combination data corresponding to each candidate set, the demodulation reference signal DMRS of each candidate set can be determined, so that multiple threads can be based on the preset demodulation formula and each The demodulation reference signals DMRS of the candidate sets are demodulated in parallel for each candidate set.

Exemplarily, the server includes a plurality of DMRS determination modules, the DMRS determination modules are in one-to-one correspondence with the candidate sets, and the demodulation reference signal DMRS of each candidate set can be determined by the multiple DMRS determination modules, that is, the solution of each candidate set can be obtained. The reference signal identifies the DMRS-ID, and each DMRS-ID is combined with each candidate set in pairs to obtain a plurality of first combination data, and then according to the first combination data corresponding to each candidate set, determine each The demodulation reference signal DMRS of the candidate set. For example, the DMRS determination module acquires 5 different DMRS-IDs and 10 candidate sets, 50 first combination data can be obtained by pairwise combination, and each candidate set corresponds to 5 first combination data. The demodulation reference signal DMRS of each candidate set can be determined in parallel according to the 5 first combined data corresponding to each candidate set through multiple threads and the DMRS calculation formula specified by the protocol.

In an embodiment, the step of determining the scrambling code of each original candidate set includes: acquiring the wireless network temporary identifier UE-RNTI of the user equipment corresponding to each original candidate set; combining each UE-RNTI with each original candidate set The sets are combined in pairs to obtain a plurality of second combined data; the scrambling code of each original candidate set is determined according to the corresponding second combined data of each original candidate set.

It should be noted that, according to the provisions of the protocol, the scrambling code can be configured as a physical cell identifier PCI (Physical Cell Identifier, referred to as PCI), or can be configured as a wireless network temporary identifier RNTI (Radio Network Tempory Identity, referred to as RNTI). If the scrambling code is configured as the physical cell identifier PCI, the PCI is combined with each original candidate set in pairs. The PCI corresponding to each original candidate set is the same, and the calculation result of the scrambling code for each original candidate set is also the same. Only one scrambling code needs to be calculated for each original candidate set. Multiple threads can perform descrambling processing on each original candidate set in parallel according to the preset descrambling formula and the same scrambling code to obtain the scrambling code of each candidate set. target candidate set. For example, as shown in Figure 3, the number of original candidate sets is 56, and the scrambling code configuration of the original candidate sets is PCI 0. At the same time, 56 threads are created to perform descrambling processing on each original candidate set in parallel, obtaining 56 target candidate set.

It should be noted that, if the scrambling code is configured as the wireless network temporary identifier RNTI, and each RNTI is combined with each original candidate set in pairs, each original candidate set corresponds to multiple RNTIs, and multiple second combinations are obtained. data, each second combined data contains an RNTI and an original candidate set. Based on the calculation formula of the scrambling code stipulated in the protocol, and according to the second combination data corresponding to each original candidate set, the RNTI corresponding to each original candidate set can be determined, so that multiple threads can use the preset descrambling formula and Each original candidate set has its corresponding RNTI, and descrambles each original candidate set in parallel to obtain the target candidate set of each candidate set. For example, as shown in Figure 4, the number of original candidate sets is 56, the scrambling code of the original candidate set is configured as the RNTI of the UE, including RNTI 0 to RNTI n, and 56 threads are created in parallel according to each original candidate set. For the corresponding RNTI 0 to RNTI n, each original candidate set is descrambled to obtain 56 target candidate sets.

Sub-step S1022 , performing decoding and second descrambling processing on each target candidate set in parallel through multiple threads to obtain multiple downlink control information DCIs.

It should be noted that multiple target candidate sets can be read through multiple candidate set reading modules, and each candidate set reading module corresponds to one target candidate set, so that it can be read from the frequency position to which the corresponding target candidate set belongs. Each corresponding target candidate set is taken, so that multiple threads can perform decoding and second descrambling processing on each target candidate set in parallel, so as to obtain multiple downlink control information DCI, and improve the blind detection efficiency in a multi-user environment. It can be understood that the candidate set reading module can also be in one-to-one correspondence with threads, so that multiple threads can acquire multiple target candidate sets in parallel through the candidate set reading module, and decode and decode each target candidate set. Two descrambling processing.

Exemplarily, the server includes multiple decoding modules and multiple second descrambling modules. Each decoding module and each second descrambling module corresponds to a target candidate set. The decoding module is set to perform decoding processing on each target candidate set to obtain a plurality of decoded data. The second descrambling module is set to RNTI descrambling processing is performed on a plurality of decoded data, thereby obtaining a plurality of downlink control information DCIs. Through multiple decoding modules and multiple second descrambling and descrambling modules corresponding to multiple target candidate sets, it is convenient for multiple threads to perform decoding and RNTI descrambling processing on each candidate set in parallel, effectively improving large-scale Blind detection efficiency in user environment.

In one embodiment, performing decoding and second descrambling processing on each target candidate set to obtain a plurality of downlink control information DCIs includes: performing decoding processing on each target candidate set to obtain a plurality of decoded data ; Determine a plurality of target decoding data successfully decoded from the plurality of decoding data; perform RNTI descrambling processing on each target decoding data to obtain a plurality of downlink control information DCI. Wherein, based on a preset decoding algorithm, decoding processing is performed on each target candidate set to obtain a plurality of decoding data. The preset decoding algorithm, such as Polar (polarization) decoding algorithm, BP (Belief Propagtion, belief propagation) decoding algorithm, etc., is not specifically limited in this application.

In one embodiment, decoding processing is performed on each target candidate set by using a BP decoding algorithm, and determining a plurality of target decoding data successfully decoded from a plurality of decoding data includes: calculating each decoding data Decoding success prediction probability; determine a plurality of target decoding data whose prediction probability is greater than or equal to a preset probability from a plurality of decoding data. It should be noted that the predicted probability of successful decoding of each decoded data can be obtained based on a preset minimum log-likelihood ratio algorithm, and the preset probability can be set according to an empirical value obtained through experiments, for example, the preset probability is 50. %. Determining multiple target decoding data whose predicted probability is greater than or equal to the preset probability can improve the decoding speed, thereby improving the DCI acquisition efficiency in the embodiment of the present application.

In one embodiment, the method for obtaining a plurality of downlink control information DCIs includes: performing a cyclic redundancy check (CRC) process on each target decoded data to obtain a plurality of CRC data; performing a wireless network temporary identifier (RNTI) solution on each CRC data. scrambling to obtain multiple downlink control information DCIs. It should be noted that the CRC check is performed on each target decoded data, and the check result is XORed with the corresponding RNTI value to obtain multiple CRC values. According to the protocol, the CRC value at this time is equal to the UE-RNTI value. . Perform RNTI descrambling processing on each CRC value. For example, compare the bits in each CRC value with the corresponding RNTI value. If the comparison result is consistent, the corresponding downlink control information DCI can be obtained. If the comparison result is inconsistent , the corresponding downlink control information DCI is not obtained.

In one embodiment, the server includes a DCI data access module. The DCI data access module is configured to store downlink control information DCI. The DCI data access module sets an independent access space for each UE-RNTI, and each access space can store multiple downlink control information DCIs, such as DCI type, DCI value and other information. Each access space is hashed and stored with the set UE-RNTI as the key value, so as to realize parallel access to DCI, and users can access the UE-RNTI access space and learn the content by indexing through the UE-RNTI. .

The DCI acquisition method provided by the above embodiment can acquire multiple downlinks by creating multiple threads matching the number of multiple candidate sets to be processed, and performing blind detection processing on each candidate set in parallel through multiple threads. Control information DCI. In the embodiments of the present application, DCI search for large-scale users can be implemented through a single hardware terminal, without using multiple hardware terminals with the same number of users, effectively improving the blind detection efficiency of physical downlink control channels in a large-scale user environment, and Reduced hardware and space costs.

Exemplarily, taking a single cell supporting 1000 users as an example, the prior art requires 1000 hardware terminals, while the embodiment of the present application only needs one hardware terminal to complete the same work in the same time. If it takes 100 microseconds to obtain the DCI of one user, in the prior art, if only one hardware terminal is used to complete the DCI search for 1000 users, it takes 0.1 second, which makes the wireless communication delay relatively high. A hardware terminal only needs 100 microseconds to complete the DCI acquisition of 1000 users, which greatly improves the blind detection efficiency of physical downlink control channels in a large-scale user environment.

Please refer to FIG. 5. FIG. 5 is a schematic block diagram of the structure of a DCI acquisition apparatus provided by an embodiment of the present application.

As shown in FIG. 5 , the DCI obtaining apparatus 200 includes a processor 201 and a memory 202, and the processor 201 and the memory 202 are connected through a bus 203, such as an I2C (Inter-integrated Circuit) bus.

Specifically, the processor 201 is configured to provide computing and control capabilities to support the operation of the entire DCI acquisition apparatus. The processor 201 can be a central processing unit (Central Processing Unit, CPU), and the processor 201 can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC) ), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor or the like.

Specifically, the memory 202 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) magnetic disk, an optical disk, a U disk, or a removable hard disk, or the like.

Those skilled in the art can understand that the structure shown in FIG. 5 is only a block diagram of a part of the structure related to the embodiment of the present application, and does not constitute a limitation on the DCI acquisition device to which the embodiment of the present application is applied. The DCI acquisition device may include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

The processor is configured to run a computer program stored in the memory, and implement any one of the DCI acquisition methods provided in the embodiments of the present application when the computer program is executed.

In one embodiment, the processor is configured to run a computer program stored in a memory, and implement the following steps when executing the computer program:

In an embodiment, when implementing the blind detection processing on each candidate set in parallel by using the multiple threads to obtain multiple downlink control information DCIs, the processor is configured to implement:

Performing demodulation and first descrambling processing on each of the candidate sets in parallel by the multiple threads, to obtain a target candidate set of each of the candidate sets;

Decoding and second descrambling processing are performed on each of the target candidate sets in parallel by the multiple threads, so as to obtain multiple downlink control information DCIs.

In an embodiment, when the processor performs the demodulation and first descrambling processing on each of the candidate sets to obtain the target candidate set of each of the candidate sets, the processor is configured to:

determining a demodulation reference signal DMRS for each of the candidate sets;

performing demodulation processing on the corresponding candidate sets according to each of the demodulation reference signals DMRS, to obtain an original candidate set of each of the candidate sets;

determining a scrambling code for each of the original candidate sets;

According to the scrambling code of each of the original candidate sets, descrambling processing is performed on the corresponding original candidate sets to obtain a target candidate set of each of the candidate sets.

In an embodiment, when implementing the determining the demodulation reference signal DMRS of each of the candidate sets, the processor is configured to implement:

obtaining the demodulation reference signal identifier DMRS-ID of each of the candidate sets;

Combining each of the DMRS-IDs with each of the candidate sets in pairs to obtain a plurality of first combined data;

The demodulation reference signal DMRS of each candidate set is determined according to the first combined data corresponding to each candidate set.

In one embodiment, when implementing the determining of the scrambling code of each of the original candidate sets, the processor is configured to implement:

Acquiring the wireless network temporary identifier UE-RNTI of the user equipment corresponding to each of the original candidate sets;

Combining each of the UE-RNTI and each of the original candidate sets in pairs to obtain a plurality of second combined data;

The scrambling code of each of the original candidate sets is determined according to the second combined data corresponding to each of the original candidate sets.

In an embodiment, when the processor performs the decoding and second descrambling processing on each of the target candidate sets to obtain a plurality of downlink control information DCIs, the processor is configured to:

Decoding is performed on each of the target candidate sets to obtain a plurality of decoding data;

Determine a plurality of target decoded data successfully decoded from the plurality of decoded data;

Perform RNTI descrambling processing on each of the target decoded data to obtain a plurality of downlink control information DCIs.

In one embodiment, when implementing the plurality of target decoded data determined from the plurality of decoded data to be successfully decoded, the processor is configured to implement:

calculating a predicted probability of successful decoding of each of the decoded data;

A plurality of target decoding data whose predicted probability is greater than or equal to a preset probability are determined from the plurality of decoding data.

In one embodiment, when the processor performs the RNTI descrambling process on each of the target decoded data to obtain a plurality of downlink control information DCIs, the processor is used to achieve:

Each described target decoding data is subjected to cyclic redundancy check CRC processing to obtain a plurality of CRC data;

Perform a wireless network temporary identifier RNTI descrambling process on each of the CRC data to obtain a plurality of downlink control information DCIs.

It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the above-described DCI acquisition device may refer to the corresponding process in the foregoing DCI acquisition method embodiment, which is not described here. Repeat.

Embodiments of the present application further provide a storage medium for computer-readable storage, where the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the following: The steps of any of the methods for obtaining DCI provided in the embodiments of this application.

The storage medium may be an internal storage unit of the DCI acquisition apparatus described in the foregoing embodiments, such as a hard disk or a memory of the DCI acquisition apparatus. The storage medium may also be an external storage device of the DCI acquisition device, such as a plug-in hard disk equipped on the DCI acquisition device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, Flash Card, etc.

Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, the functional module threads/units in the system, and the apparatus can be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be composed of several physical components Components execute cooperatively. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data flexible, removable and non-removable media. Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or may Any other medium used to store desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and can include any information delivery media, as is well known to those of ordinary skill in the art .

It should be understood that, as used in this specification and the appended claims, the term "and/or" refers to and including any and all possible combinations of one or more of the associated listed items. It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or system comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or system. Without further limitation, an element qualified by the statement "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system that includes the element.

The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments. The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalents within the technical scope disclosed in the present application. Modifications or substitutions shall be covered by the protection scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

A DCI acquisition method, comprising:

Create multiple threads matching the number of multiple candidate sets to be processed;

Blind detection processing is performed on each of the candidate sets in parallel by the multiple threads, so as to obtain multiple downlink control information DCIs.
The DCI acquisition method according to claim 1, wherein the performing blind detection processing on each of the candidate sets in parallel by using the multiple threads to acquire multiple downlink control information DCIs includes:

Performing demodulation and first descrambling processing on each of the candidate sets in parallel by the multiple threads, to obtain a target candidate set of each of the candidate sets;

Decoding and second descrambling processing are performed on each of the target candidate sets in parallel by the multiple threads, so as to obtain multiple downlink control information DCIs.
The DCI acquisition method according to claim 2, wherein the performing demodulation and first descrambling processing on each of the candidate sets to obtain a target candidate set of each of the candidate sets, comprising:

determining a demodulation reference signal DMRS for each of the candidate sets;

performing demodulation processing on the corresponding candidate sets according to each of the demodulation reference signals DMRS, to obtain an original candidate set of each of the candidate sets;

determining a scrambling code for each of the original candidate sets;

According to the scrambling code of each of the original candidate sets, descrambling processing is performed on the corresponding original candidate sets to obtain a target candidate set of each of the candidate sets.
The DCI acquisition method according to claim 3, wherein the determining the demodulation reference signal DMRS of each of the candidate sets comprises:

obtaining the demodulation reference signal identifier DMRS-ID of each of the candidate sets;

Combining each of the DMRS-IDs with each of the candidate sets in pairs to obtain a plurality of first combined data;

The demodulation reference signal DMRS of each candidate set is determined according to the first combined data corresponding to each candidate set.
The DCI acquisition method according to claim 3, wherein the determining the scrambling code of each of the original candidate sets comprises:

Acquiring the wireless network temporary identifier UE-RNTI of the user equipment corresponding to each of the original candidate sets;

Combining each of the UE-RNTI and each of the original candidate sets in pairs to obtain a plurality of second combined data;

The scrambling code of each of the original candidate sets is determined according to the second combined data corresponding to each of the original candidate sets.
The DCI acquisition method according to any one of claims 2-5, wherein the performing decoding and second descrambling processing on each of the target candidate sets to acquire a plurality of downlink control information DCIs, comprising:

Decoding is performed on each of the target candidate sets to obtain a plurality of decoding data;

Determine a plurality of target decoded data successfully decoded from the plurality of decoded data;

Perform RNTI descrambling processing on each of the target decoded data to obtain a plurality of downlink control information DCIs.
The DCI acquisition method according to claim 6, wherein the determining a plurality of target decoding data successfully decoded from the plurality of decoding data comprises:

calculating a predicted probability of successful decoding of each of the decoded data;

A plurality of target decoding data whose predicted probability is greater than or equal to a preset probability are determined from the plurality of decoding data.
The DCI acquisition method according to claim 6, wherein the performing RNTI descrambling processing on each of the target decoded data to obtain a plurality of downlink control information DCIs, comprising:

Each described target decoding data is subjected to cyclic redundancy check CRC processing to obtain a plurality of CRC data;

Perform a wireless network temporary identifier RNTI descrambling process on each of the CRC data to obtain a plurality of downlink control information DCIs.
A DCI acquisition device comprising a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for realizing the connection between the processor and the memory A data bus for communication, wherein the computer program, when executed by the processor, implements the steps of the DCI acquisition method as claimed in any one of claims 1 to 8.
A storage medium for computer-readable storage, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to realize any one of claims 1 to 8 The steps of the described DCI acquisition method.