A blind detection method and user equipment for 5G wireless communication system

Abstract

The application provides a blind detection method and user equipment for a 5G wireless communication system, which comprises the following steps: S1, acquiring configuration information of a control resource set and configuration information of a corresponding search space, and determining a candidate PDCCH set composed of multiple candidate PDCCHs according to the configuration information of the control resource set and the configuration information of the corresponding search space, wherein each candidate PDCCH contains at least one control channel element; S2, performing centralized symbol level processing on the control resource set according to the configuration information of the control resource set, so as to extract soft bit information of subcarrier positions related to the candidate PDCCH set at one time, and form a soft bit information library required for current blind detection; and S3, selecting a candidate PDCCH from the candidate PDCCH set by using a pre-set selection rule to perform blind detection, wherein blind detection is performed according to the frequency domain resource block corresponding to the control channel element contained in the candidate PDCCH, and the soft bit information of the subcarrier positions of the corresponding frequency domain resource block is obtained from the soft bit information library to perform blind detection.

Description

Technical Field

[0001] This invention relates to the field of communications, specifically to the field of wireless communications, and more specifically, to a blind detection method and user equipment for a 5G communication system. Background Technology

[0002] In 5G NR (New Radio) systems, the Physical Downlink Control Channel (PDCCH) is used to carry downlink control information (DCI), which can indicate uplink and downlink scheduling information as well as other control information.

[0003] In 5G, the set of time-frequency resources that a PDCCH can use is called a Control Resource Set (CORESET). Within a CORESET, the Control Channel Element (CCE) is the basic resource unit. A PDCCH may be aggregated from several CCEs; the number of CCEs that aggregate into a PDCCH is its Aggregation Level (AL). 5G NR supports aggregation levels of 1, 2, 4, 8, and 16. In downlink communication, the base station can dynamically configure the aggregation level. The higher the aggregation level, the more time-frequency resources can be used, and the higher the probability that the DCI (Distributed Channel Interface) can be correctly received.

[0004] On the user equipment side, after receiving downlink data, the downlink data may contain downlink control information and service data from multiple different users. After determining the location of the control resource set in the downlink data, the user still does not know the aggregation level used by their PDCCH or its specific location in the control resource set. Therefore, the user equipment needs to blindly search (i.e., blindly detect) the control information belonging to themselves within the entire control resource set.

[0005] However, see Figure 1 Existing blind detection schemes for PDCCH include:

[0006] A1. Based on the configuration of CORESET and Search Space, calculate the candidate PDCCH for all candidate aggregation levels;

[0007] A2. Determine whether all candidate aggregation levels have been traversed. If yes, proceed to step A11; otherwise, proceed to step A3.

[0008] A3. Select an untraversed candidate aggregation level;

[0009] A4. Determine if there are any unprocessed candidate PDCCHs under the candidate aggregation level. If yes, proceed to step A5; otherwise, proceed to step A.

[0010] A5. Select an unprocessed candidate PDCCH from the candidate aggregation level;

[0011] A6. Determine the index of the frequency domain resource block occupied by the selected candidate PDCCH;

[0012] A7. Through channel estimation, interpolation, channel equalization, and soft demodulation, determine the soft bit information at the subcarrier position corresponding to the index of the frequency domain resource block occupied by the candidate PDCCH.

[0013] A8. Decode based on the relevant soft bit information;

[0014] A9. Determine if decoding was successful; this step uses a CRC check to determine if decoding was successful.

[0015] A10. This blind check was successful, and downlink control information was obtained. To avoid unnecessary calculations, once the downlink control information is obtained, blind checks will not be performed on any unprocessed candidate PDCCHs.

[0016] A11. This blind inspection failed.

[0017] Under different candidate aggregation levels, the number of subcarriers and the combination of subcarrier positions related to the candidate PDCCH are different, but some subcarrier positions may overlap. Figure 1 The steps A6 and A7 shown involve repeated channel estimation, channel equalization, and soft demodulation for certain subcarrier positions under different candidate aggregation levels, resulting in a large amount of redundant calculations and causing significant latency to the entire 5G communication system. Summary of the Invention

[0018] Therefore, the purpose of this invention is to overcome the shortcomings of the prior art and provide a blind detection method and user equipment for 5G wireless communication systems.

[0019] The objective of this invention is achieved through the following technical solution:

[0020] According to a first aspect of the present invention, a blind detection method for a 5G wireless communication system is provided, comprising the following steps: S1, obtaining configuration information of a control resource set and configuration information of a corresponding search space, and determining a candidate PDCCH set consisting of multiple candidate PDCCHs based on the configuration information of the control resource set and the configuration information of the corresponding search space, wherein each candidate PDCCH contains at least one control channel element; S2, performing centralized symbol-level processing on the control resource set according to the configuration information of the control resource set to extract soft bit information of subcarrier positions related to the candidate PDCCH set in one go, forming a soft bit information library required for the current blind detection; S3, selecting candidate PDCCHs from the candidate PDCCH set for blind detection using a pre-set selection rule, wherein, during blind detection, the soft bit information of the subcarrier positions of the corresponding frequency domain resource blocks corresponding to the control channel elements contained in the candidate PDCCHs is obtained from the soft bit information library to perform blind detection.

[0021] Optionally, step S2 includes: generating a local PDCCH-DMRS signal according to the configuration information of the control resource set and in accordance with the 3GPP protocol; extracting the received PDCCH-DMRS signal belonging to the control resource set according to the received frequency domain signal; performing channel estimation based on the received PDCCH-DMRS signal and the local PDCCH-DMRS signal to obtain a first channel estimation result; performing linear interpolation based on the first channel estimation result to determine a second channel estimation result for the subcarrier positions related to the candidate PDCCH set; and performing channel equalization and soft demodulation based on the second channel estimation result for the subcarrier positions related to the candidate PDCCH set to obtain soft bit information for the relevant subcarrier positions.

[0022] Optionally, step S2 further includes: establishing the association between the index of a frequency domain resource block and the soft bit information of its corresponding subcarrier position, using frequency domain resource blocks as units, and generating the soft bit information database.

[0023] Optionally, step S1 includes: the candidate PDCCH set includes a subset of candidate PDCCHs for each of the multiple candidate aggregation levels.

[0024] Optionally, step S3 includes: determining the index of all frequency domain resource blocks corresponding to the control channel elements contained in each candidate PDCCH according to the control channel elements contained in each candidate PDCCH, and sorting them in the order agreed upon by the 3GPP protocol to obtain an index table of frequency domain resource blocks corresponding to each candidate PDCCH; sequentially selecting candidate PDCCHs from a subset of candidate PDCCHs for blind detection until the blind detection is successful or fails, wherein, when performing blind detection on a corresponding candidate PDCCH, the corresponding soft bit information is obtained from the soft bit information database according to the index table of the frequency domain resource blocks corresponding to the candidate PDCCH and the mapping relationship to establish a soft bit information sequence corresponding to the candidate PDCCH.

[0025] Optionally, step S3 further includes: descrambling and decoding the soft bit information sequence corresponding to the candidate PDCCH to obtain the decoding result; performing CRC verification on the decoding result; if the verification is correct, the blind detection is successful, and the decoding result is used as the downlink control information obtained from the blind detection; otherwise, selecting the next candidate PDCCH for blind detection, until all candidate PDCCHs at all candidate aggregation levels have completed blind detection.

[0026] Optionally, in the index table of the frequency domain resource blocks corresponding to each candidate PDCCH, the indexes of the frequency domain resource blocks are arranged in ascending order.

[0027] According to a second aspect of the present invention, a user equipment is provided, comprising a module for performing the method as described in the first aspect.

[0028] According to a third aspect of the present invention, an electronic device is provided, comprising: one or more processors; and a memory for storing executable instructions; wherein the one or more processors are configured to implement the steps of the method described in the first aspect by executing the executable instructions.

[0029] Compared with the prior art, the advantages of the present invention are as follows:

[0030] This invention performs symbol-level processing on the control resource set to centrally extract the soft bit information of the subcarrier positions that the data of each candidate PDCCH may occupy, forming a soft bit information library required for the current blind detection. During subsequent blind detection, based on the frequency domain resource blocks corresponding to the control channel elements contained in the candidate PDCCH, the soft bit information of the subcarrier positions of the corresponding frequency domain resource blocks is directly obtained from the soft bit information library to perform the blind detection. Therefore, for the same subcarrier position, only one operation is needed to extract the soft bit information of that subcarrier position, reducing redundant calculations, improving the efficiency of 5G NR blind detection, and helping to improve the efficiency of data transmission in the 5G communication process and reduce communication latency. Attached Figure Description

[0031] The embodiments of the present invention will be further described below with reference to the accompanying drawings, wherein:

[0032] Figure 1 This is a flowchart illustrating a blind detection scheme using existing technology.

[0033] Figure 2 This is a flowchart illustrating a blind detection method for a 5G wireless communication system according to an embodiment of the present invention.

[0034] Figure 3 This is a schematic diagram illustrating the index of a frequency domain resource block within a control resource set according to an embodiment of the present invention;

[0035] Figure 4 This is a schematic diagram of the index table of frequency domain resource blocks of an illustrative candidate PDCCH according to an embodiment of the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the invention.

[0037] As mentioned in the background section, under different candidate aggregation levels, channel estimation, channel equalization, and soft demodulation are repeatedly performed based on certain subcarrier positions, resulting in a large amount of redundant calculations and causing significant latency to the entire 5G communication system. To address this, this embodiment of the invention performs symbol-level processing on the control resource set to centrally extract the soft bit information of the subcarrier positions that may be occupied by the data of each candidate PDCCH, forming a soft bit information library required for the current blind detection. During subsequent blind detection, based on the frequency domain resource blocks corresponding to the control channel elements contained in the candidate PDCCH, the soft bit information of the subcarrier positions of the corresponding frequency domain resource blocks is directly obtained from the soft bit information library to perform the blind detection. Therefore, for the same subcarrier position, only one operation is needed to extract the soft bit information of that subcarrier position, reducing redundant calculations, improving the efficiency of 5G NR blind detection, and helping to improve the efficiency of data transmission in the 5G communication process and reduce communication latency.

[0038] For ease of understanding, an illustrative 5G wireless communication system, as illustrated in an embodiment of this application, will be described first. The 5G wireless communication system includes a base station and at least one user equipment (UE). The base station can be a gNB (gNodeB) of a 5G radio system, or an evolved NB (eNB) of an LTE system that supports 5G communication protocols. When a user equipment needs to access network services through a base station, it may need to receive control signals from the base station to obtain system information such as synchronization, radio resource allocation, and scheduling within its coverage area. For example, the user equipment may need to detect candidate PDCCHs in the signals transmitted by the base station to determine downlink control information (DCI), i.e., blind detection. The blind detection method of this embodiment will be described later.

[0039] According to one embodiment of the present invention, see Figure 2 This invention provides a blind detection method for 5G wireless communication systems, comprising steps S1, S2, and S3. To better understand this invention, each step is described in detail below with reference to specific embodiments.

[0040] Step S1: Obtain the configuration information of the control resource set and the corresponding search space configuration information. Based on the configuration information of the control resource set and the corresponding search space configuration information, determine a candidate PDCCH set consisting of multiple candidate PDCCHs. Each candidate PDCCH contains at least one control channel element.

[0041] According to one embodiment of the present invention, the base station configuration includes one or more control resource sets (CORESETs) for resource candidates to perform PDCCH transmission. A CORESET can be defined as a set of radio resources, and the search space of a user equipment (UE) can reside within this set of radio resources. The UE's CORESET can be specific to the UE and varies depending on the UE. From the UE's perspective, it can receive configuration information for one or more CORESETs and search for its PDCCH within one or more CORESETs according to the configuration information of its search space. Each possible PDCCH to be searched is a candidate PDCCH. In this step, for each of the multiple candidate aggregation levels, all candidate PDCCHs under that candidate aggregation level are determined, forming a subset of candidate PDCCHs for that candidate aggregation level.

[0042] According to an embodiment of the present invention, step S1 includes: S11, determining the number of time-domain symbols S and the number of frequency-domain resource blocks (RBs) N occupied by the control resource set based on the configuration information of the control resource set (or the configuration of the CORESET); S12, determining a subset of candidate PDCCHs for each of the multiple candidate aggregation levels based on the number of time-domain symbols S occupied by the control resource set, the number of frequency-domain resource blocks (RBs) N occupied by the control resource set, and the configuration information of the search space associated with the control resource set. The subset of candidate PDCCHs for each candidate aggregation level includes the number of candidate PDCCHs (Candidates_Num) under that candidate aggregation level and the CCE index of each candidate PDCCH, where each CCE index includes the index of at least one associated frequency-domain resource block. (See attached...) Figure 2 As shown, assuming a control resource set has a symbol count S = 2 and occupies 270 frequency domain resource blocks (RBs), the index of the corresponding frequency domain resource block for the control resource set is as follows: Figure 3 As shown; for the case where the candidate aggregation level is 4, a candidate PDCCH includes 4 control channel elements (CCE), assuming they are CCE0, CCE1, CCE2, and CCE3 respectively. For easy observation, the frequency domain resource blocks corresponding to each control channel element are distinguished by color or background pattern.

[0043] Step S2: Based on the configuration information of the control resource set, perform symbol-level processing on the control resource set to extract the soft bit information of the subcarrier positions related to the candidate PDCCH set in one go, forming the soft bit information library required for the current blind detection.

[0044] According to an embodiment of the present invention, step S2 includes: generating a local PDCCH-DMRS signal according to the configuration information of the control resource set and in accordance with the 3GPP protocol; extracting the received PDCCH-DMRS signal belonging to the control resource set according to the received frequency domain signal; performing channel estimation based on the received PDCCH-DMRS signal and the local PDCCH-DMRS signal to obtain a first channel estimation result; performing linear interpolation operation based on the first channel estimation result to determine a second channel estimation result related to the subcarrier positions of the candidate PDCCH set; performing channel equalization and soft demodulation based on the second channel estimation result related to the subcarrier positions of the candidate PDCCH set to obtain soft bit information of the relevant subcarrier positions; and establishing the association relationship between the index of the frequency domain resource block and the soft bit information of its corresponding subcarrier position, using the frequency domain resource block as a unit, to generate the soft bit information database.

[0045] According to an embodiment of the present invention, step S2 includes: S21, generating a local PDCCH-DMRS signal by the user equipment according to the configuration information of CORESET and the 3GPP protocol; S22, extracting the PDCCH-DMRS subcarriers in CORESET based on the received frequency domain signal, and performing channel estimation with the local PDCCH-DMRS signal to obtain the channel estimation result H_DMRS at the PDCCH-DMRS subcarrier (corresponding to the first channel estimation result); S23, performing linear interpolation based on the channel estimation result H_DMRS to obtain the channel estimation result H_DATA at the subcarrier position occupied by PDCCH data in CORESET (corresponding to the second channel estimation result); S24, performing channel equalization and soft demodulation based on the channel estimation result H_DATA to obtain the soft bit information of the relevant subcarrier positions in the entire CORESET; S25, establishing the association between the index of the frequency domain resource block and the soft bit information of its corresponding subcarrier position to generate the soft bit information database. See again. Figure 3 ,For example, Figure 3 Soft bit information of the RB0 related subcarrier position ( Figure 3 After obtaining the soft bit information (not shown), an association (mapping) is established between RB0 and the soft bit information of the subcarrier positions related to RB0. The establishment of the association relationship between the index of the remaining frequency domain resource blocks and the soft bit information of their corresponding subcarrier positions is similar. After the association relationship is established, the soft bit information library can be obtained. The technical solution of this embodiment can achieve at least the following beneficial technical effects: The prior art determines the corresponding subcarrier position when a candidate PDCCH is detected in the blind detection, and then performs channel estimation, channel equalization and soft demodulation steps to obtain the soft bit information of the subcarrier position for subsequent blind detection steps; since some subcarrier positions are repeated among candidate PDCCHs of different candidate aggregation levels, the prior art will lead to a lot of repetitive calculation processes. Therefore, the embodiment of this invention first determines the candidate PDCCH set, extracts the soft bit information of the subcarrier positions related to the candidate PDCCH set at one time, and forms the soft bit information library required for the current blind detection. When the soft bit information of the corresponding subcarrier position is needed later, it can be retrieved from the soft bit information library, avoiding repeated extraction of the soft bit information of the same subcarrier position and improving the efficiency of blind detection.

[0046] Step S3: Select candidate PDCCHs from the candidate PDCCH set using a pre-defined selection rule for blind detection. During blind detection, the soft bit information of the subcarrier position of the corresponding frequency domain resource block is obtained from the soft bit information library based on the frequency domain resource block corresponding to the control channel element contained in the candidate PDCCH.

[0047] According to one embodiment of the present invention, step S3 includes: determining the indices of all frequency domain resource blocks corresponding to the control channel elements contained in each candidate PDCCH based on the control channel elements contained in each candidate PDCCH, and sorting them according to the order agreed upon in the 3GPP protocol to obtain an index table of frequency domain resource blocks corresponding to each candidate PDCCH (in blind detection, the indexes of the frequency domain resource blocks in the index table of the frequency domain resource blocks corresponding to each candidate PDCCH are arranged in ascending order, for illustrative purposes only). Figure 3 The index table of frequency domain resource blocks of the candidate PDCCH composed of CCE0-CCE3 is shown below. Figure 4 (As shown); Candidate PDCCHs from the candidate PDCCH subset are selected sequentially for blind detection until the blind detection is successful or fails. During blind detection of a candidate PDCCH, based on the index table of the frequency domain resource block corresponding to the candidate PDCCH and the mapping relationship, the corresponding soft bit information is obtained from the soft bit information database to establish the soft bit information sequence corresponding to the candidate PDCCH. The soft bit information sequence corresponding to the candidate PDCCH is descrambled and decoded to obtain the decoding result. A CRC check is performed on the decoding result. If the check is correct, the blind detection is successful, and the decoding result is used as the downlink control information obtained from the blind detection; otherwise, the next candidate PDCCH is selected for blind detection. This process of continuously selecting the next candidate PDCCH for blind detection continues until the blind detection is successful or all candidate PDCCHs at all candidate aggregation levels have completed blind detection. If none of the candidate PDCCHs at all candidate aggregation levels have successfully completed blind detection, the blind detection is considered a failure.

[0048] According to one embodiment of the present invention, a communication device is provided, which includes a module for performing the blind detection method for a 5G wireless communication system as described in the foregoing embodiments.

[0049] According to one embodiment of the present invention, an electronic device is provided, comprising: one or more processors; and a memory, wherein the memory is configured to store executable instructions; the one or more processors are configured to implement the steps of the blind detection method for a 5G wireless communication system of the foregoing embodiments by executing the executable instructions.

[0050] It should be noted that although the steps are described in a specific order above, it does not mean that the steps must be executed in the above specific order. In fact, some of these steps can be executed concurrently, or even in a different order, as long as the required function can be achieved.

[0051] This invention can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of the invention.

[0052] Computer-readable storage media can be tangible devices that hold and store instructions for use by an instruction execution device. Computer-readable storage media can be, for example, including but not limited to, electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination thereof.

[0053] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A blind detection method for a 5G wireless communication system, characterized in that, Including the following steps: S1. Obtain the configuration information of the control resource set and the configuration information of the corresponding search space. Based on the configuration information of the control resource set and the configuration information of the corresponding search space, determine a candidate PDCCH set consisting of multiple candidate PDCCHs. Each candidate PDCCH contains at least one control channel element. S2. Based on the configuration information of the control resource set, perform centralized symbol-level processing on the control resource set to extract the soft bit information of the subcarrier positions related to the candidate PDCCH set in one go, forming the soft bit information library required for the current blind detection. Step S2 includes: generating a local PDCCH-DMRS signal according to the 3GPP protocol based on the configuration information of the control resource set; extracting the received PDCCH-DMRS signal belonging to the control resource set based on the received frequency domain signal; performing channel estimation based on the received PDCCH-DMRS signal and the local PDCCH-DMRS signal to obtain a first channel estimation result; performing linear interpolation based on the first channel estimation result to determine a second channel estimation result for the subcarrier positions related to the candidate PDCCH set; performing channel equalization and soft demodulation based on the second channel estimation result for the subcarrier positions related to the candidate PDCCH set to obtain the soft bit information of the relevant subcarrier positions; establishing the association between the index of the frequency domain resource block and the soft bit information of its corresponding subcarrier position, using frequency domain resource blocks as units, to generate the soft bit information library. S3. Select candidate PDCCHs from the candidate PDCCH set using a pre-defined selection rule for blind detection. During blind detection, the soft bit information of the subcarrier position of the corresponding frequency domain resource block is obtained from the soft bit information library according to the frequency domain resource block corresponding to the control channel element contained in the candidate PDCCH.

2. The method according to claim 1, characterized in that, Step S1 includes: The candidate PDCCH set includes a subset of candidate PDCCHs for each of the multiple candidate aggregation levels.

3. The method according to claim 2, characterized in that, Step S3 includes: Based on the control channel elements contained in each candidate PDCCH, determine the index of all frequency domain resource blocks corresponding to the control channel elements contained in the candidate PDCCH and sort them in the order agreed by the 3GPP protocol to obtain the index table of frequency domain resource blocks corresponding to each candidate PDCCH. Candidate PDCCHs from the candidate PDCCH subset are selected sequentially for blind detection until the blind detection is successful or fails. When blindly detecting a candidate PDCCH, the corresponding soft bit information is obtained from the soft bit information library according to the index table of the frequency domain resource block corresponding to the candidate PDCCH and the association relationship to establish the soft bit information sequence corresponding to the candidate PDCCH.

4. The method according to claim 3, characterized in that, Step S3 further includes: The soft bit information sequence corresponding to the candidate PDCCH is descrambled and decoded to obtain the decoding result; The decoding result is subjected to CRC verification. If the verification is correct, the blind detection is successful, and the decoding result is used as the downlink control information obtained from the blind detection. Otherwise, the next candidate PDCCH is selected for blind detection, until all candidate PDCCHs of all candidate aggregation levels have completed blind detection.

5. The method according to claim 3, characterized in that, In the index table of frequency domain resource blocks corresponding to each candidate PDCCH, the indexes of the frequency domain resource blocks are arranged in ascending order.

6. A user equipment, characterized in that, It includes a module for performing the method as described in any one of claims 1-5.

7. A computer-readable storage medium, characterized in that, It contains a computer program that can be executed by a processor to implement the steps of the method according to any one of claims 1 to 5.

8. An electronic device, characterized in that, include: One or more processors; as well as Memory, wherein the memory is used to store executable instructions; The one or more processors are configured to implement the steps of the method according to any one of claims 1 to 5 by executing the executable instructions.

Images