CN118282580A

CN118282580A - PDCCH detection method, device, equipment and storage medium

Info

Publication number: CN118282580A
Application number: CN202410716122.4A
Authority: CN
Inventors: 刘华东; 宋怡昕; 林力
Original assignee: Guangdong Shiju Network Technology Co ltd
Current assignee: Guangdong Shiju Network Technology Co ltd
Filing date: 2024-06-04
Publication date: 2024-07-02

Abstract

The invention discloses a PDCCH detection method, a device, equipment and a storage medium. When the frequency domain precoding granularity meets a first condition, determining whether DCI is included in the PDCCH candidate set according to the first average power of the first DMRS and the second average power of the first data signal in the PDCCH candidate set; and when the frequency domain precoding granularity meets a second condition, determining whether DCI is included in the PDCCH candidate set according to the result of correlation operation between the second DMRS and non-DMRS data signals in the PDCCH candidate set and the locally-generated DMRS sequence signals. According to the method and the device, the DCI in the PDCCH is detected in different modes according to different conditions of the frequency domain precoding granularity, so that the accuracy of detecting the DCI in the PDCCH candidate set can be improved, the PDCCH channel can be processed efficiently, and the load of a system is reduced effectively.

Description

PDCCH detection method, device, equipment and storage medium

Technical Field

The embodiment of the application relates to the field of communication, in particular to a method, a device, equipment and a storage medium for detecting PDCCH.

Background

In the 5G communication process, it is very important to perform detection and reception of a PDCCH (Physical Downlink Control Channel ), where the PDCCH carries DCI (Downlink Control Information, downlink control information), and the DCI includes uplink or downlink data channel scheduling information and other control information of a terminal or a group of terminals. These information are critical for the terminal (UE), and the terminal can correctly receive data in PDSCH or data in transmission (physical uplink shared channel) only if the terminal correctly decodes DCI information, so detection and reception of PDCCH is a key step to ensure that the terminal can normally perform data transmission. In the prior art, when detecting DCI in PDCCH, the existence detection of DCI is simply carried out according to the power of a signal, the condition of missing detection is easy to occur, and the detection accuracy is low.

In summary, the method for detecting DCI in PDCCH in the prior art has a technical problem of low detection accuracy.

Disclosure of Invention

The embodiment of the invention provides a method, a device, equipment and a storage medium for detecting PDCCH, which solve the technical problem of lower detection accuracy in the method for detecting DCI in the PDCCH in the prior art.

In a first aspect, an embodiment of the present invention provides a PDCCH detection method, which is applicable to a terminal device, and includes:

Acquiring scheduling configuration information of a current PDCCH under the condition that the current frame is a downlink frame and is positioned at a PDCCH scheduling time sequence;

Determining the frequency domain precoding granularity according to the scheduling configuration information;

Traversing each PDCCH candidate set in a control resource set in turn, wherein the control resource set comprises at least one PDCCH candidate set;

Under the condition that the frequency domain precoding granularity meets a first condition, determining a first average power of a first DMRS and a second average power of a first data signal in each traversed target PDCCH candidate set, and determining whether the target PDCCH candidate set comprises DCI according to the first average power and the second average power;

Under the condition that the frequency domain precoding granularity meets a second condition, determining a second DMRS and a non-DMRS data signal in each traversed target PDCCH candidate set, performing correlation operation on the second DMRS and the non-DMRS data signal and a locally generated DMRS sequence signal, and determining whether the target PDCCH candidate set comprises DCI according to the result of the correlation operation;

and after traversing all the PDCCH candidate sets, outputting a detection result of the DCI.

In a second aspect, an embodiment of the present invention provides a PDCCH detection apparatus, including:

the configuration information acquisition module is used for acquiring the scheduling configuration information of the current PDCCH under the condition that the current frame is a downlink frame and is positioned at a PDCCH scheduling time sequence;

The granularity determining module is used for determining the frequency domain precoding granularity according to the scheduling configuration information;

the candidate set traversing module is used for traversing each PDCCH candidate set in a control resource set in sequence, wherein the control resource set comprises at least one PDCCH candidate set;

a first DCI determining module, configured to determine, when the frequency domain precoding granularity meets a first condition, a first average power of a first DMRS and a second average power of a first data signal in a target PDCCH candidate set traversed each time, and determine, according to the first average power and the second average power, whether the target PDCCH candidate set includes DCI;

A second DCI determining module, configured to determine, when the frequency domain precoding granularity meets a second condition, a second DMRS and a non-DMRS data signal in each traversed target PDCCH candidate set, perform a correlation operation on the second DMRS and the non-DMRS data signal and a locally generated DMRS sequence signal, and determine, according to a result of the correlation operation, whether the target PDCCH candidate set includes DCI;

And a result output module, configured to output a detection result of the DCI after traversing all the PDCCH candidate sets.

In a third aspect, an embodiment of the present invention provides a PDCCH detection apparatus, where the PDCCH detection apparatus includes a processor and a memory;

The memory is used for storing a computer program and transmitting the computer program to the processor;

The processor is configured to perform a PDCCH detection method according to the first aspect according to instructions in the computer program.

In a fourth aspect, embodiments of the present invention provide a storage medium storing computer executable instructions which, when executed by a computer processor, are adapted to carry out a PDCCH detection method as described in the first aspect.

The invention discloses a PDCCH detection method, a device, equipment and a storage medium. When the frequency domain precoding granularity meets a first condition, determining whether DCI is included in the PDCCH candidate set according to the first average power of the first DMRS and the second average power of the first data signal in the PDCCH candidate set; and when the frequency domain precoding granularity meets a second condition, determining whether DCI is included in the PDCCH candidate set according to the result of correlation operation between the second DMRS and non-DMRS data signals in the PDCCH candidate set and the locally-generated DMRS sequence signals. According to the method and the device, the DCI in the PDCCH is detected in different modes according to different conditions of the frequency domain precoding granularity, so that the accuracy of detecting the DCI in the PDCCH candidate set can be improved.

Drawings

Fig. 1 is a flowchart of a PDCCH detection method according to an embodiment of the present invention.

Fig. 2 is a schematic diagram of a PDCCH detection method according to an embodiment of the present invention.

Fig. 3 is a flowchart of another PDCCH detection method according to an embodiment of the present invention.

Fig. 4 is a schematic diagram of performing correlation operation according to an embodiment of the present invention.

Fig. 5 is a schematic diagram of another PDCCH detection method according to an embodiment of the present invention.

Fig. 6 is a schematic structural diagram of a PDCCH detection apparatus according to an embodiment of the present invention.

Fig. 7 is a schematic structural diagram of a PDCCH detection apparatus according to an embodiment of the present invention.

Detailed Description

The following description and the drawings sufficiently illustrate specific embodiments of the application to enable those skilled in the art to practice them. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. The scope of embodiments of the application encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments may be referred to herein, individually or collectively, by the term "application" merely for convenience and without intending to voluntarily limit the scope of this application to any single application or inventive concept if more than one is in fact disclosed. Relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed. Various embodiments are described herein in a progressive manner, each embodiment focusing on differences from other embodiments, and identical and similar parts between the various embodiments are sufficient to be seen with each other. The structures, products and the like disclosed in the embodiments correspond to the parts disclosed in the embodiments, so that the description is relatively simple, and the relevant parts refer to the description of the method parts.

First, the PDCCH basic concept is introduced: the basic unit of the PDCCH is CCE (control-CHANNEL ELEMENT, control channel element), and one PDCCH may be composed of 1, 2, 4, 8, and 16 CCEs, and the number of CCEs constituting the PDCCH is called an aggregation level (Aggregation Level, abbreviated AL). The base station can dynamically adjust the aggregation level of the PDCCH according to the information such as the wireless link state, the DCI load size and the like, so as to realize the self-adaptive transmission of the link.

In general, one CCE occupies 6 REGs (Resource Element Group, resource element groups) on the frequency domain, one REG occupies one symbol on the time domain, one RB (ResourceBlock ) on the frequency domain, 1 RB is 12 consecutive subcarriers in the frequency domain, the physical resource occupied by each subcarrier in the OFDM symbol duration is one Resource Element (RE), 3 REs are used for DMRS (Demodulation reference signal) signals carrying PDCCH, and 9 REs are used for DATA signals (carrying DCI) carrying PDCCH. Because the aggregation level and the time-frequency position of the PDCCH transmitted by the base station are variable along with time, the terminal equipment needs to blindly test the PDCCH under different aggregation levels, and the PDCCH to be blindly tested is the PDCCH candidate set.

Currently, in the 5G communication process, error correction retransmission of data is required by an HARQ (Hybrid Automatic Repeat reQuest ) mechanism. Specifically, after the transmitting end transmits data, the transmitting end waits for feedback of the terminal equipment, the terminal equipment detects whether the received data is correct, and performs positive Acknowledgement (ACK) or negative feedback (NACK), and the transmitting end decides whether to retransmit the data according to the received feedback. For downlink data transmission, the base station schedules the terminal to receive the downlink data PDSCH through the PDCCH, and the terminal feeds back the receiving condition of the PDSCH, namely feeds back HARQ ACK or HARQ NACK. If the base station does not receive feedback from the terminal (either ACK or NACK), the base station considers DTX to occur (Discontinuous Transmission ) and PDSCH retransmission is required. If the terminal does not decode the PDSCH correctly due to missed detection or false detection, the terminal considers that the base station does not allocate resources to the terminal, i.e. does not decode the resources of the corresponding PDSCH channel and thus does not perform feedback, and at this time, the base station considers that the terminal has DTX, thereby causing retransmission of data.

For detecting and receiving the PDCCH, the terminal generally needs to traverse all PDCCH candidate sets for blind detection, and does not perform presence detection on the DCI. In the terminal simulator simulating the multi-terminal behavior, the number of times of PDCCH decoding processing needs to be reduced, and the resources and time to be spent are reduced, so that DCI presence detection needs to be performed. Currently, in the presence detection of DCI on PDCCH, the presence detection of DCI is simply performed according to the power of a signal in the prior art. However, in practical application, since the background noise of the RRU (remote radio unit) has a large influence, the background noise difference between each slot (time slot) and even symbol often occurs, so that the algorithm misses the threshold of signal detection when detecting the PDCCH candidate set, and a large amount of decoding processing needs to be performed, that is, null detection, and finally misses the time window scheduled by the PS (protocol stack), which results in lower detection accuracy of DCI.

Based on this, in order to solve the above technical problems, an embodiment of the present invention provides a PDCCH detection method, as shown in fig. 1, and fig. 1 is a flowchart of a PDCCH detection method provided in an embodiment of the present invention. The PDCCH detection method provided by the embodiment of the invention can be executed by a PDCCH detection device, the PDCCH detection device can be realized in a software and/or hardware mode, and the PDCCH detection device can be composed of two or more physical entities or a physical entity. For example, the PDCCH detection device may be a terminal device such as a computer, a mobile phone, and a tablet, and in this embodiment, the terminal device is taken as an example for explanation, and the PDCCH detection method provided by the embodiment of the present invention includes the following steps:

Step 101, acquiring scheduling configuration information of a current PDCCH when the current frame is a downlink frame and is in a PDCCH scheduling time sequence.

The current frame is a downlink frame, and if the frame currently being processed or transmitted by the current terminal device is a downlink frame, data flows from the network infrastructure (e.g., the base station) to the terminal device. In addition, in the scheduling timing of the PDCCH, that is, the PDCCH is or is about to transmit control information about the current frame, the control information includes information such as resource allocation, transport format, and power control. The terminal device can prepare to receive or process the data in the downlink frame according to the control information in the PDCCH, so as to ensure the efficiency and accuracy of data transmission, and realize the effective allocation and management of network resources.

Under the condition that the current frame is determined to be a downlink frame and is in a PDCCH scheduling time sequence, the terminal equipment can acquire scheduling configuration information of the current PDCCH, wherein the scheduling configuration information of the PDCCH comprises configuration parameters of the PDCCH, and the scheduling configuration information can be preset by a user in the embodiment.

Step 102, determining the frequency domain precoding granularity according to the scheduling configuration information.

After receiving the scheduling configuration information, the terminal device needs to determine the granularity of frequency domain precoding (precoderGranularity, abbreviated as PG) according to the scheduling configuration information, where PG refers to the minimum unit or granularity of resource allocation in the frequency domain when precoding. Precoding is a common technique in MIMO (multiple input multiple output) systems for preprocessing a transmission signal according to Channel State Information (CSI) at a transmitting end to optimize signal quality of a terminal device.

Note that, in this embodiment, there are two cases of PG, which are precoder granularity =0 (PG 0) and precoder granularity =1 (PG 1), respectively, where precoder granularity =0 is that only CCEs transmitting DCI have a DATA signal and DMRS; precoder granularity =1 is that the entire CCE of CORESET (control-resource set) has DMRS. Where CORESET is a set of resources for control information, including a set of physical resources, and parameters for carrying DCI, one CORESET may accommodate multiple aggregation levels, each consisting of N CCEs.

Step 103, traversing each PDCCH candidate set in the control resource set in turn, wherein the control resource set comprises at least one PDCCH candidate set.

After determining the scheduling configuration information, the terminal device needs to traverse each PDCCH candidate set in the control resource set in turn. It can be appreciated that the set of resources includes at least one PDCCH candidate set. Illustratively, for a common search space, the number of PDCCH candidate sets is equal to 4/2/1 with an aggregation level l=4/8/16, with a CCE number of 32 in CORESET.

Step 104, determining a first average power of the first DMRS and a second average power of the first data signal in the target PDCCH candidate set traversed each time under the condition that the frequency domain precoding granularity meets the first condition, and determining whether the target PDCCH candidate set includes DCI according to the first average power and the second average power.

In traversing each PDCCH candidate set, it is required to determine whether the frequency domain precoding granularity satisfies a first condition or a second condition. Specifically, the first condition may be set to PG1 and the second condition may be set to PG0 in this embodiment. In the case that PG is PG1, for each traversed target PDCCH candidate set, determining a first DMRS and a first DATA (DATA) signal in the target PDCCH candidate set, determining a first average power of the first DMRS and a second average power of the first DATA signal, and finally comparing the first average power and the second average power to determine whether the target PDCCH candidate set includes DCI. Specifically, when determining whether DCI is transmitted according to the first average power and the second average power as references, if there is no noise and there is no change in time-frequency of the channel, the first average power should be equal to the second average power to indicate that the target PDCCH candidate set includes DCI, but this is difficult to achieve in practical use. In consideration of noise and channel variation, in order to improve the accuracy of detection, in this embodiment, an adjustment factor may be further configured to reduce the first average power, determine the magnitudes of the reduced first average power and second average power, and determine whether the target PDCCH candidate set includes DCI according to the magnitudes.

Step 105, determining a second DMRS and a non-DMRS data signal in the target PDCCH candidate set traversed each time under the condition that the frequency domain precoding granularity meets the second condition, performing correlation operation on the second DMRS and the non-DMRS data signal and the locally generated DMRS sequence signal, and determining whether the target PDCCH candidate set includes DCI according to the result of the correlation operation.

In another case, if the frequency domain precoding granularity satisfies the second condition, that is, if PG is PG0, determining the second DMRS and the non-DMRS data signal in the target PDCCH candidate set traversed each time, where the non-DMRS data signal is a data signal that is not a DMRS. And then, carrying out correlation operation on the second DMRS and non-DMRS data signals and the locally generated DMRS sequence signals to obtain correlation peaks, wherein the correlation operation is generally used for measuring the similarity between two sequences or variables. And finally, determining whether the target PDCCH candidate set comprises DCI according to the size of the correlation peak.

And step 106, after traversing all PDCCH candidate sets, outputting a DCI detection result.

After each PDCCH candidate set in the control resource set is traversed, a DCI detection result of each PDCCH candidate set may be output. If the PDCCH candidate set does not include DCI, the PDCCH candidate set that does not include DCI is determined to be noise and is rejected, and the remaining PDCCH candidate set is used for blind detection. In one embodiment, a schematic diagram of detecting DCI in a PDCCH is shown in fig. 2.

In the foregoing, the embodiment of the present invention provides a PDCCH detection method, and the embodiment of the present invention determines whether a PDCCH candidate set includes DCI in different manners according to different frequency domain precoding granularity in scheduling configuration information of a PDCCH. When the frequency domain precoding granularity meets a first condition, determining whether DCI is included in the PDCCH candidate set according to the first average power of the first DMRS and the second average power of the first data signal in the PDCCH candidate set; and when the frequency domain precoding granularity meets a second condition, determining whether DCI is included in the PDCCH candidate set according to the result of correlation operation between the second DMRS and non-DMRS data signals in the PDCCH candidate set and the locally-generated DMRS sequence signals. According to the method and the device for detecting the DCI in the PDCCH, the DCI in the PDCCH candidate set can be detected in different modes according to different conditions of frequency domain precoding granularity, so that the accuracy of detecting the DCI in the PDCCH can be improved, and the technical problem of low detection accuracy in the method for detecting the DCI in the PDCCH in the prior art is solved.

The embodiment of the invention also provides another PDCCH detection method, as shown in fig. 3, fig. 3 is a flow chart of the another PDCCH detection method provided by the embodiment of the invention, and the PDCCH detection method provided by the embodiment of the invention is a concrete PDCCH detection method, and comprises the following steps:

Step 201, acquiring scheduling configuration information of a current PDCCH when the current frame is a downlink frame and is at a PDCCH scheduling timing sequence.

Step 202, determining the frequency domain precoding granularity according to the scheduling configuration information.

Step 203, traversing each PDCCH candidate set in the control resource set in turn, where the control resource set includes at least one PDCCH candidate set.

Step 204, determining the number of antennas of the terminal device, the number of symbols of the target PDCCH candidate set and the number of subcarriers when the frequency domain precoding granularity satisfies the first condition.

In this embodiment, when the granularity of the frequency domain precoding is PG1, the number of antennas of the terminal device, the number of symbols of the target PDCCH candidate set, and the number of subcarriers are first determined, where the number of symbols and the number of subcarriers of the PDCCH candidate set are generally determined by a protocol and a configuration between the network device and the terminal device, and these factors may be different due to network configuration, carrier aggregation, MIMO (multiple input multiple output) technology, etc., and a specific determination manner may refer to the prior art, and will not be described in detail in this embodiment.

Step 205, determining a first location index of the resource elements in the target PDCCH candidate set participating in the first average power calculation.

Meanwhile, in order to reduce the operand and increase the detection speed of DCI, the terminal device needs to determine a first location index of resource elements in the target PDCCH candidate set, where the location of the resource elements in the first average power calculation is identified in the first location index, so that the subsequent terminal device obtains a corresponding first DMRS in the PDCCH candidate set according to the first location index. In one embodiment, the first location index may be obtained by querying in a table look-up manner.

Step 206, determining a second location index of the resource elements in the target PDCCH candidate set participating in the second average power calculation.

Similarly, in this embodiment, the terminal device also needs to determine a second location index of the resource elements in the target PDCCH candidate set that participate in the second average power calculation, where the location of the resource elements in the second average power calculation is identified in the second location index. In one embodiment, the first position index and the second position index may be obtained by searching in a table look-up manner. Specifically, the first position index and the second position index are obtained by:

and according to the number of antennas and the aggregation level of the target PDCCH candidate set, inquiring a position index table to obtain a corresponding first position index and a second position index, wherein the position index table comprises the position indexes of the DMRS and the position indexes of the data signals corresponding to the combination of different numbers of antennas and the aggregation level.

In one embodiment, the user may set a location index table in the terminal device in advance, where the location index table includes location indexes of DMRS corresponding to combinations of different antenna numbers and aggregation levels and location indexes of data signals. For a terminal simulator simulating the behavior of multiple terminals, the multiple terminal system needs to simulate the function of scheduling of multiple terminals at the same time, so that in order to reduce the operation amount, the terminal equipment can select corresponding resource particles from a target PDCCH candidate set according to the configuration of different antenna numbers and different aggregation levels AL to calculate the first average power and the second average power. Specifically, the position index of 12 subcarriers in one RB references scIdx =Indicating that since DMRS of PDCCH is fixed at subcarrier positions of 1, 5, 9 in one RB, a position index can be usedAnd (3) representing.A second index indication representing the sub-carriers in one RB that are required to participate in the power calculation of the DATA signal, e.g=Representing that other REs participate in data power calculation except the RE position of the DMRSOperation).A first position index representing subcarriers in one RB that are required to participate in DMRS power calculation, e.g=The resource elements representing the positions 1, 5, 9 participate in the calculation of the average power of the DMRS. However, in this embodiment, the selection of REs involved in power calculation is related to the number of antennas and the aggregation level of the terminal device, and the criterion is that all REs participate in calculation when the number of RBs is small (i.e., the AL value is small), and that part of REs that are uniformly distributed participate in calculation when the number of RBs is large (i.e., the AL value is large). There are different situations depending on the number of antennas AL and the aggregation level Nr. The method comprises the following steps:

when AL is 1, REs involved in DMRS power and DATA power calculation have the following expression:

when AL is 2, REs involved in DMRS power and DATA power calculation are expressed as follows:

when AL is 4, REs involved in DMRS power and DATA power calculation are expressed as follows:

when AL is 8, REs involved in DMRS power and DATA power calculation are expressed as follows:

when AL is 16, REs involved in DMRS power and DATA power calculation are expressed as follows:

wherein, SAMPLING N is fixed. 1=；2=；3=。The following relationship exists:

”。

exclusive or is performed on the expression, then =. The above expression expansion is represented by table 1:

TABLE 1

The terminal device can query and obtain the first position index and the second position index by querying the table 1 according to the antenna number and the aggregation level.

Step 207, determining a first average power of the first DMRS according to the number of antennas, the number of symbols, the number of subcarriers, and the first position index.

After the first position index is queried, the first average power of the first DMRS can be determined according to the number of antennas, the number of symbols, the number of subcarriers and the first position index. For example, the first DMRS may be first obtained in the target PDCCH candidate set according to the first location index, and then the first average power of the first DMRS may be calculated according to the number of antennas, the number of symbols, and the number of subcarriers.

Based on the above embodiment, in step 207, the determining the first average power of the first DMRS according to the number of antennas, the number of symbols, the number of subcarriers, and the first location index includes:

Step 2071, determining a first DMRS in the target PDCCH candidate set corresponding to the first location index.

When calculating the first average power, first, a first DMRS corresponding to the resource element in the first location index needs to be acquired in the target PDCCH candidate set according to the first location index.

Step 2072, determining a first power corresponding to each first DMRS.

After determining the first DMRS, a first power corresponding to each first DMRS needs to be determined.

Step 2073, determining a first average power of the first DMRS according to each first power, the number of antennas, the number of symbols, and the number of subcarriers.

Finally, the first average power of the first DMRS may be determined according to the first power, the number of antennas, the number of symbols, and the number of subcarriers, where a specific calculation formula is as follows:

Wherein the method comprises the steps of For the first average power, the first power is calculated for each subcarrier corresponding to each symbol of each antenna, I is the real part of the subcarrier, Q is the imaginary part of the subcarrier, l is the number of symbols, k is the number of subcarriers, and Nr is the number of antennas.

Step 208, determining a second average power of the first data signal according to the number of antennas, the number of symbols, the number of subcarriers, and the second position index.

Similarly, in this embodiment, the second power may be calculated in a similar manner to the first average power, where the specific calculation formula is as follows:

Wherein the method comprises the steps of Is the second average power.

Step 209, determining a first smoothed snr of the PDCCH channel obtained by the latest history.

After the first average power and the second average power are calculated, whether the target PDCCH candidate set includes DCI may be determined according to the first average power and the second average power. Specifically, the adjustment factor needs to be acquired first, and when the adjustment factor is acquired, a first smoothed signal-to-noise ratio of the PDCCH channel obtained by the latest history needs to be determined, where the smoothed signal-to-noise ratio is obtained by smoothing the historical signal-to-noise ratio (SNR). The purpose of smoothing the signal-to-noise ratio is typically to reduce fluctuations in the SNR value due to the randomness of the noise, resulting in a more stable, more representative metric. In one embodiment, after the PDCCH including the DCI is obtained last time historically, a CRC check is performed on the PDCCH, and after the CRC check is passed, a filtering process is performed on the snr of the PDCCH to obtain a first smoothed snr.

Step 210, determining a corresponding adjustment factor according to the number of antennas of the terminal device, the aggregation level of the target PDCCH candidate set and the first smooth signal-to-noise ratio.

After determining the first smooth signal-to-noise ratio, determining a corresponding adjustment factor according to the number of antennas of the terminal equipment, the aggregation level of the target PDCCH candidate set and the first smooth signal-to-noise ratio. Specifically, in this embodiment, the adjustment factor is pre-adjusted by adjusting different antenna numbers and different aggregation levels under different signal-to-noise ratios (-5-40 db), and the terminal device directly queries the adjustment factor by means of table lookup. Exemplary, for example, when the first smoothing snr= -5dB, the adjustment factor scaling_factor_ -5dB value lut= [2.068, 1.713, 1.472, 1.61, 1.403, 1.536, 1.343, 1.251] is as shown in table 2:

TABLE 2

Step 211, determining whether the target PDCCH candidate set includes DCI according to the first average power, the second average power and the adjustment factor.

After determining the adjustment factor, determining whether the target PDCCH candidate set includes DCI according to the first average power and the second average power. In one embodiment, the specific determination process is: judging whether the product of the first average power and the reciprocal of the regulating factor is larger than the second average power; if the product is larger than the second average power, determining that the target PDCCH candidate set does not transmit DCI; and under the condition that the product is smaller than or equal to the second average power, determining that the target PDCCH candidate set comprises DCI, wherein the specific calculation formula is as follows:

，then P_dci=0

otherwise, P_dci=0.5

Where P _dci is a detection determination result, P _dci =0.5 indicates that the target PDCCH candidate set has DCI, and P _dci =0 indicates that the target PDCCH candidate set has no DCI.

Step 212, determining a second DMRS and non-DMRS data signals in the target PDCCH candidate set traversed each time under the condition that the frequency domain precoding granularity meets a second condition, and performing autocorrelation operation on the second DMRS and the DMRS sequence signals to obtain a first value; and performing cross-correlation operation on the non-DMRS data signal and the DMRS sequence signal to obtain a second numerical value.

And when determining whether the target PDCCH candidate set has DCI if the frequency domain precoding granularity satisfies the second condition, that is, if PG is PG0, determining the second DMRS and the non-DMRS data signals in the target PDCCH candidate set traversed each time is needed first. After the second DMRS and the non-DMRS data signals are determined, the non-DMRS data signals can be determined, the second DMRS and the locally generated DMRS sequence signals are subjected to autocorrelation operation to obtain a first value, and the non-DMRS data signals and the locally generated DMRS sequence signals are subjected to cross-correlation operation to obtain a second value. The specific formula is as follows:

Wherein, A DMRS sequence signal generated locally; RE position for the second DMRS; For RE positions other than DMRS data signals, in this embodiment, each target PDCCH candidate set is included in RBs RE signals corresponding to the subcarriers are used as RE positions of non-DMRS data signals. r is the number of target PDCCH candidates, and n is the number of second DMRS in the target PDCCH candidates. Exemplary, a schematic diagram of the correlation operation is shown in fig. 4, where S1 is a subcarrier of the target PDCCH candidate set and S2 is a DMRS sequence signal.

Step 213, determining whether the target PDCCH candidate set includes DCI according to the result of the correlation operation.

After the first value and the second value are determined, whether the target PDCCH candidate set comprises DCI or not can be determined according to the first value and the second value. Specifically, after the first value and the second value are determined, although the maximum value of the correlation operation of each target PDCCH can be determined, it cannot be determined which target PDCCH carries DCI, and therefore further threshold detection is required to determine that the PDCCH is not composed of background noise. In one embodiment, determining whether the target PDCCH candidate set includes DCI according to the result of the correlation operation includes:

Step 2131, determining a corresponding threshold coefficient according to the first smoothed snr of the PDCCH channel obtained by the latest history, the number of antennas of the terminal device, and the aggregation level of the target PDCCH candidate set.

In this embodiment, the threshold may be first obtained, and in this embodiment, the threshold may be debugged in advance according to different antenna numbers under different smooth signal-to-noise ratios and aggregation levels of the target PDCCH candidate set, and the terminal device searches for the threshold coefficient by using a table look-up method. For example, when the first smoothed snr is-5 dB, the threshold coefficient look-up table threshold lut= [1.87, 1.91, 2.23, 2.39, 2.41, 2.63, 2.94, 3.71], the threshold coefficients for different ALs and Nr are shown in table 3 below:

TABLE 3 Table 3

Step 2132, determining whether the product of the first value and the threshold coefficient is greater than the second value.

Step 2133, determining that the target PDCCH candidate set includes DCI if the product is greater than the second value.

In step 2134, if the product is equal to or less than the second value, it is determined that the target PDCCH does not include DCI.

After the threshold coefficient is obtained, the first numerical valueMultiplying the threshold value with the configured threshold coefficient to obtain a final threshold value threshold_val, and finally, multiplying the threshold value threshold_val with a second numerical valueComparing, if the second valueIf the target PDCCH is larger than the threshold value threshold_val, determining that the target PDCCH has DCI; otherwise, no DCI is included.

Step 214, after traversing all the PDCCH candidate sets, outputting the DCI detection result.

After traversing all the PDCCH candidate sets, the detection result of the DCI may be output, for example, the detection result is a target PDCCH including the DCI in the PDCCH candidate sets, and in one embodiment, a schematic diagram of detecting the PDCCH is shown in fig. 5.

On the basis of the above embodiment, in a case where it is determined that at least one PDCCH candidate set includes DCI, the method further includes:

step 215, determining the number of times of calculating the signal-to-noise ratio currently, wherein the number of times is determined according to the number of times of the PDDCH including DCI received in history.

In one embodiment, in the case that it is determined that at least one PDCCH candidate set of the plurality of PDCCH candidate sets includes DCI, a smooth snr of the current PDCCH channel needs to be further determined, so that DCI determination may be performed subsequently according to the smooth snr. Specifically, the number of times the signal to noise ratio is currently calculated needs to be determined first, and the number of times the signal to noise ratio is currently calculated is determined according to the number of times the PDDCH including DCI is historically received. For example, when the base station communicates with the terminal device, PBCH, PDCCH and PDSCH may be transmitted as one cycle period, and in one cycle period, if the PDCCH includes DCI, the number of times of calculating the signal to noise ratio is increased once. In another embodiment, considering that the PDSCH also needs to perform signal-to-noise ratio calculation, in the case that the PDCCH includes DCI, the number of times of calculating the signal-to-noise ratio in one period needs to be increased twice. Therefore, in this embodiment, the number of times of calculating the signal to noise ratio currently can be determined according to the number of times of the PDDCH including the DCI received in history.

Step 216, determining a corresponding calculation rule according to the times, and determining a smoothed snr of the current PDCCH channel according to the calculation rule, the first smoothed snr and the snr of the current PDCCH channel.

After determining the current number of times, a corresponding calculation rule needs to be determined according to the number of times, and in one embodiment, the calculation rule is defined as follows:

iir_old[n]={};

iir_new[n] = {};

Wherein n is the number of times, For a first smoothed signal-to-noise ratio,For the signal-to-noise ratio of the current PDCCH channel,To smooth the signal to noise ratio.

Exemplary, when the number is the first time, the signal-to-noise ratio of the current PDCCH channel is 50dB, then=0+50×1=50dB。

When the number is the second time, the signal-to-noise ratio of the current PDCCH channel is 60dB, then=50×0.5+60×0.5=55dB。

When the number is the third time, the signal-to-noise ratio of the current PDCCH channel is 80dB, then=55×(21/32)+60×(11/32)=56dB。

When the number of times is ninth and after the ninth,(127/128)+(1/128)。

In the foregoing, the embodiment of the present invention provides a PDCCH detection method, and the embodiment of the present invention determines whether a PDCCH candidate set includes DCI in different manners according to different frequency domain precoding granularity in scheduling configuration information of a PDCCH. When the frequency domain precoding granularity meets a first condition, determining whether DCI is included in the PDCCH candidate set according to the first average power of the first DMRS and the second average power of the first data signal in the PDCCH candidate set; and when the frequency domain precoding granularity meets a second condition, determining whether DCI is included in the PDCCH candidate set according to the result of correlation operation between the second DMRS and non-DMRS data signals in the PDCCH candidate set and the locally-generated DMRS sequence signals. According to the method and the device for detecting the DCI in the PDCCH, the DCI in the PDCCH candidate set can be detected in different modes according to different conditions of frequency domain precoding granularity, so that the accuracy of detecting the DCI in the PDCCH can be improved, and the technical problem of low detection accuracy in the method for detecting the DCI in the PDCCH in the prior art is solved. In addition, the embodiment of the invention only extracts part of resource particles in the PDCCH candidate set to participate in operation, and uses the received DMRS and the locally generated DMRS sequence signal as a correlation peak to detect the existence of the signal under the condition of PG0, thereby greatly reducing the calculated amount, improving the calculation speed, simultaneously efficiently processing the PDCCH channel and effectively reducing the load of a system.

The embodiment of the invention also provides a PDCCH detection device, as shown in fig. 6, fig. 6 is a schematic structural diagram of the PDCCH detection device provided in the embodiment of the invention, and the PDCCH detection device provided in the embodiment of the invention comprises:

A configuration information obtaining module 301, configured to obtain scheduling configuration information of a current PDCCH when the current frame is a downlink frame and is at a PDCCH scheduling timing sequence;

The granularity determining module 302 is configured to determine a frequency domain precoding granularity according to the scheduling configuration information;

A candidate set traversing module 303, configured to sequentially traverse each PDCCH candidate set in a control resource set, where the control resource set includes at least one PDCCH candidate set;

A first DCI determining module 304, configured to determine, if the frequency domain precoding granularity satisfies a first condition, a first average power of a first DMRS and a second average power of a first data signal in each traversed target PDCCH candidate set, and determine whether the target PDCCH candidate set includes DCI according to the first average power and the second average power;

A second DCI determining module 305, configured to determine, when the frequency domain precoding granularity satisfies a second condition, a second DMRS and a non-DMRS data signal in each traversed target PDCCH candidate set, perform a correlation operation on the second DMRS and the non-DMRS data signal and a locally generated DMRS sequence signal, and determine, according to a result of the correlation operation, whether the target PDCCH candidate set includes DCI;

And a result output module 306, configured to output a DCI detection result after traversing all PDCCH candidate sets.

On the basis of the above embodiment, the first DCI determining module 304 includes:

a number determining submodule, configured to determine the number of antennas of the terminal device, the number of symbols of the target PDCCH candidate set, and the number of subcarriers;

A first index determining submodule, configured to determine a first position index of resource elements in the target PDCCH candidate set that participate in the first average power calculation;

A second index determining submodule, configured to determine a second location index of resource elements in the target PDCCH candidate set that participate in the second average power calculation;

A first power determining sub-module, configured to determine a first average power of the first DMRS according to the number of antennas, the number of symbols, the number of subcarriers, and the first position index;

and the second power determining submodule is used for determining second average power of the first data signal according to the number of antennas, the number of symbols, the number of subcarriers and the second position index.

On the basis of the above embodiment, the first power determination submodule includes:

A first signal determining subunit, configured to determine a first DMRS in the target PDCCH candidate set corresponding to a first location index;

A first power determination subunit configured to determine a first power corresponding to each first DMRS;

and the average power determining subunit is used for determining the first average power of the first DMRS according to each first power, the number of antennas, the number of symbols and the number of subcarriers.

Based on the above embodiment, the method further includes a location index obtaining sub-module, configured to query, in a location index table, a corresponding first location index and a second location index according to the number of antennas and an aggregation level of the target PDCCH candidate set, where the location index table includes location indexes of DMRS and location indexes of data signals corresponding to combinations of different numbers of antennas and aggregation levels.

a smooth signal-to-noise ratio determining sub-module, configured to determine a first smooth signal-to-noise ratio of the PDCCH channel obtained last in the history;

the adjusting factor determining submodule is used for determining corresponding adjusting factors according to the number of antennas of the terminal equipment, the aggregation level of the target PDCCH candidate set and the first smooth signal-to-noise ratio;

And the DCI determining submodule is used for determining whether the target PDCCH candidate set comprises DCI according to the first average power, the second average power and the regulating factor.

On the basis of the above embodiment, the DCI determination submodule includes:

A first size judging unit for judging whether the product of the first average power and the reciprocal of the adjustment factor is greater than the second average power;

A first DCI determining unit, configured to determine that the target PDCCH candidate set does not transmit DCI if the product is greater than the second average power;

And a second DCI determining unit, configured to determine that the target PDCCH candidate set includes DCI if the product is less than or equal to the second average power.

On the basis of the above embodiment, the method further comprises:

The frequency determining module is used for determining the frequency of currently calculating the signal to noise ratio under the condition that at least one PDCCH candidate set is determined to comprise DCI, and the frequency is determined according to the historically received frequency of the PDDCH comprising the DCI;

And the smooth signal-to-noise ratio determining module determines a corresponding calculation rule according to the times, and determines the smooth signal-to-noise ratio of the current PDCCH according to the calculation rule, the first smooth signal-to-noise ratio and the signal-to-noise ratio of the current PDCCH.

On the basis of the above embodiment, the second DCI determining module 305 includes:

the autocorrelation operation sub-module is used for carrying out autocorrelation operation on the second DMRS and the DMRS sequence signal to obtain a first numerical value;

and the cross-correlation operation sub-module is used for carrying out cross-correlation operation on the non-DMRS data signal and the DMRS sequence signal to obtain a second value.

On the basis of the above embodiment, the second DCI determining module 305 further includes:

A threshold coefficient determining submodule, configured to determine a corresponding threshold coefficient according to a first smooth signal-to-noise ratio of the PDCCH channel, the number of antennas of the terminal device, and an aggregation level of the target PDCCH candidate set, which are obtained by the latest history;

the magnitude judging submodule is used for judging whether the product of the first numerical value and the threshold coefficient is larger than the second numerical value or not;

a first DCI determining submodule, configured to determine that the target PDCCH candidate set includes DCI if the product is greater than the second numerical value;

And the second DCI determining submodule is used for determining that the target PDCCH does not comprise DCI under the condition that the product is smaller than or equal to a second numerical value.

The PDCCH detection device provided by the embodiment of the invention is contained in the terminal equipment, can be used for executing the PDCCH detection method provided by the embodiment, and has corresponding functions and beneficial effects.

It should be noted that, in the embodiment of the PDCCH detection apparatus, each unit and module included is only divided according to the functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.

The embodiment also provides a terminal device, as shown in fig. 7, fig. 7 is a schematic structural diagram of a terminal device provided in the embodiment of the present invention, where the terminal device 40 includes a processor 400 and a memory 401;

the memory 401 is used for storing a computer program 402 and transmitting the computer program 402 to the processor 400;

the processor 400 is configured to perform the steps of one of the PDCCH detection method embodiments described above according to instructions in the computer program 402.

By way of example, computer program 402 may be partitioned into one or more modules/units, which are stored in memory 401 and executed by processor 400 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program 402 in the terminal device 40.

The terminal device 40 may be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. Terminal device 40 may include, but is not limited to, a processor 400, a memory 401. It will be appreciated by those skilled in the art that fig. 7 is merely an example of the terminal device 40 and is not limiting of the terminal device 40, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device 40 may also include input-output devices, network access devices, buses, etc.

The Processor 400 may be a central processing unit (Central Processing Unit, CPU), other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 401 may be an internal storage unit of the terminal device 40, such as a hard disk or a memory of the terminal device 40. The memory 401 may also be an external storage device of the terminal device 40, such as a plug-in hard disk provided on the terminal device 40, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. Further, the memory 401 may also include both an internal storage unit and an external storage device of the terminal device 40. The memory 401 is used to store computer programs and other programs and data required for the terminal device 40. The memory 401 may also be used to temporarily store data that has been output or is to be output.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media in which a computer program can be stored.

The embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a PDCCH detection method, the method comprising the steps of:

under the condition that the frequency domain precoding granularity meets a second condition, determining a second DMRS in each traversed target PDCCH candidate set, performing correlation operation on the second DMRS and non-DMRS data signals and the locally generated DMRS sequence signals, and determining whether the target PDCCH candidate set comprises DCI according to the result of the correlation operation;

And after traversing all PDCCH candidate sets, outputting a DCI detection result.

Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present invention are not limited to the particular embodiments described herein, but are capable of numerous obvious changes, rearrangements and substitutions without departing from the scope of the embodiments of the present invention. Therefore, while the embodiments of the present invention have been described in connection with the above embodiments, the embodiments of the present invention are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. The PDCCH detection method is suitable for the terminal equipment and is characterized by comprising the following steps:

2. The PDCCH detection method of claim 1, wherein the determining the first average power of the first DMRS and the second average power of the first data signal in each traversed target PDCCH candidate set comprises:

Determining the number of antennas of the terminal equipment, the number of symbols of a target PDCCH candidate set and the number of subcarriers;

determining a first position index of resource elements participating in first average power calculation in the target PDCCH candidate set;

determining a second position index of resource elements in the target PDCCH candidate set participating in second average power calculation;

determining a first average power of a first DMRS according to the number of antennas, the number of symbols, the number of subcarriers, and the first position index;

And determining a second average power of the first data signal according to the number of antennas, the number of symbols, the number of subcarriers and the second position index.

3. The PDCCH detection method of claim 2, wherein the determining a first average power for a first DMRS based on the number of antennas, the number of symbols, the number of subcarriers, and the first location index comprises:

Determining a first DMRS in the target PDCCH candidate set corresponding to the first location index;

determining a first power corresponding to each of the first DMRSs;

And determining a first average power of the first DMRS according to each of the first power, the number of antennas, the number of symbols and the number of subcarriers.

4. The PDCCH detection method of claim 2, wherein the first location index and the second location index are obtained by:

And according to the number of antennas and the aggregation level of the target PDCCH candidate set, inquiring a position index table to obtain a corresponding first position index and a second position index, wherein the position index table comprises position indexes of DMRS and position indexes of data signals corresponding to combinations of different numbers of antennas and aggregation levels.

5. The PDCCH detection method of claim 1, wherein the determining whether the target PDCCH candidate set includes DCI based on the first average power and the second average power comprises:

Determining a first smooth signal-to-noise ratio of a PDCCH channel obtained by latest history;

Determining a corresponding adjustment factor according to the number of antennas of the terminal equipment, the aggregation level of the target PDCCH candidate set and the first smooth signal-to-noise ratio;

and determining whether the target PDCCH candidate set comprises DCI according to the first average power, the second average power and the adjustment factor.

6. The PDCCH detection method of claim 5, wherein the determining whether the target PDCCH candidate set includes DCI based on the first average power, the second average power and the adjustment factor comprises:

judging whether the product of the first average power and the reciprocal of the adjustment factor is larger than the second average power or not;

Determining that the target PDCCH candidate set does not transmit DCI if the product is greater than the second average power;

And determining that the target PDCCH candidate set comprises DCI under the condition that the product is less than or equal to the second average power.

7. The PDCCH detection method of claim 5, wherein if it is determined that at least one PDCCH candidate set includes DCI, further comprising:

determining the number of times of currently calculating the signal-to-noise ratio, wherein the number of times is determined according to the number of times of the PDDCH comprising DCI received in history;

and determining a corresponding calculation rule according to the times, and determining the smooth signal-to-noise ratio of the current PDCCH according to the calculation rule, the first smooth signal-to-noise ratio and the signal-to-noise ratio of the current PDCCH.

8. The PDCCH detection method of claim 1, wherein the correlating the second DMRS and non-DMRS data signals with locally generated DMRS sequence signals comprises:

Performing autocorrelation operation on the second DMRS and the DMRS sequence signal to obtain a first value;

And performing cross-correlation operation on the non-DMRS data signal and the DMRS sequence signal to obtain a second value.

9. The PDCCH detection method of claim 8, wherein the determining whether the target PDCCH candidate set includes DCI according to the result of the correlation operation comprises:

Determining a corresponding threshold coefficient according to a first smooth signal-to-noise ratio of the PDCCH channel which is obtained latest in history, the number of antennas of the terminal equipment and the aggregation level of the target PDCCH candidate set;

judging whether the product of the first numerical value and the threshold coefficient is larger than the second numerical value or not;

determining that the target PDCCH candidate set includes DCI if the product is greater than the second value;

And determining that the target PDCCH does not include DCI when the product is less than or equal to the second value.

10. A PDCCH detection apparatus comprising:

11. A PDCCH detection apparatus, characterized in that the PDCCH detection apparatus comprises a processor and a memory;

The processor is configured to perform a PDCCH detection method according to any of claims 1-9 according to instructions in the computer program.

12. A storage medium storing computer executable instructions which, when executed by a computer processor, are for performing a PDCCH detection method according to any of claims 1-9.