CN110417505B

CN110417505B - Initial cell detection method and device, storage medium and terminal

Info

Publication number: CN110417505B
Application number: CN201810392367.0A
Authority: CN
Inventors: 李俊强; 洪波; 薛昀
Original assignee: Spreadtrum Communications Shanghai Co Ltd
Current assignee: Spreadtrum Communications Shanghai Co Ltd
Priority date: 2018-04-27
Filing date: 2018-04-27
Publication date: 2020-10-30
Anticipated expiration: 2038-04-27
Also published as: CN110417505A

Abstract

An initial cell detection method and device, a storage medium and a terminal are provided, and the method comprises the following steps: receiving data based on a maximum SCS mode of SSB association, the data including information for initial cell search; when the SSB associates multiple SCS modes, for each SCS mode, performing initial cell detection on the data in the SCS mode; and determining the initial cell according to the initial cell detection result of each SCS mode. The scheme provided by the invention can simultaneously complete the initial cell detection and SCS detection in an NR system by one-time data collection, greatly optimize the network searching time and improve the efficiency.

Description

Initial cell detection method and device, storage medium and terminal

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for detecting an initial cell, a storage medium, and a terminal.

Background

In a mobile communication system, after a terminal is turned on, a suitable cell needs to be searched as soon as possible, so that the terminal is synchronized with the cell in time and frequency, and a broadcast message of the cell is read. The process from the start-up search of the terminal to the residence of the suitable cell is the initial search process of the cell, which may also be referred to as the search process of the initial cell.

Currently, the mainstream design solution for initial cell search is implemented by using Primary Synchronization Signal (PSS) and Secondary Synchronization Signal (SSS).

In a New Radio (NR, which may also be referred to as New air interface) system, a concept of sub-carrier spacing SCS (SCS) is proposed, and different bandwidths (bands) may support different SCS modes, and some bandwidths may also support two (or even multiple) SCS modes at the same time. SCS mode is also a parameter that needs to be done for initial cell search if it is not pre-specified on these bandwidths.

The existing mainstream SCS mode detection is achieved by trial and error methods. In this case, the received data bandwidth needs to be adjusted multiple times, and the initial cell search and SCS mode detection are performed through multiple times of reception.

In the initial startup stage, if the frequency points are too many, the network searching time can be seriously influenced.

Disclosure of Invention

The technical problem solved by the invention is how to optimize the initial cell detection scheme in the NR system so as to reduce the network searching time.

To solve the foregoing technical problem, an embodiment of the present invention provides an initial cell detection method, including: receiving data based on a maximum SCS mode of SSB association, the data including information for initial cell search; when the SSB associates multiple SCS modes, for each SCS mode, performing initial cell detection on the data in the SCS mode; and determining the initial cell according to the initial cell detection result of each SCS mode.

Optionally, the performing initial cell detection on the data in the SCS mode includes: when the current SCS mode for initial cell detection is not the maximum SCS mode, carrying out rate conversion on the data to obtain the data meeting the current SCS mode; and performing initial cell detection on the converted data in the current SCS mode.

Optionally, the performing rate conversion on the data to obtain data satisfying the current SCS mode includes: and filtering the data to extract data meeting the current SCS mode, wherein the extracted data is the converted data.

Optionally, for each SCS mode, the performing initial cell detection on the data in the SCS mode includes: for each SCS mode, PSS detection is carried out on the data under the SCS mode so as to obtain a PSS candidate value set of the SCS mode; and selecting a preset number of candidate values from the PSS candidate value sets of the SCS modes, wherein the candidate values comprise information of the candidate initial cells.

Optionally, the performing PSS detection on the data in the SCS mode to obtain the PSS candidate value set in the SCS mode includes: and performing correlation operation on the data and a local sequence to obtain the PSS candidate value set, wherein the PSS candidate value set comprises a first correlation peak value and a corresponding candidate value, which are higher than a first preset threshold value, in a correlation operation result.

Optionally, before performing a correlation operation on the data and a local sequence, the performing PSS detection on the data in the SCS mode further includes: when the current SCS mode for initial cell detection is not the maximum SCS mode, rate-converting the data to obtain data satisfying the current SCS mode.

Optionally, the selecting a preset number of candidate values from the PSS candidate value sets of the multiple SCS modes includes: and selecting a preset number of candidate values with the highest corresponding first correlation peak value from the PSS candidate value sets of the SCS modes.

Optionally, the selecting a preset number of candidate values with the highest first correlation peak value from the PSS candidate value sets of the plurality of SCS modes includes: performing mixed sorting on first correlation peak values included in the PSS candidate value sets of the SCS modes respectively, and selecting a preset number of candidate values with the highest corresponding first correlation peak values; or selecting a specific number of candidate values with the highest corresponding first correlation peak value from at least one of the PSS candidate value sets of the plurality of SCS modes, respectively, to obtain the preset number of candidate values.

Optionally, the determining the initial cell according to the initial cell detection result of each of the plurality of SCS modes includes: performing SSS detection on the data based on the preset number of candidate values; determining the initial cell based on SSS detection results.

Optionally, the performing SSS detection on the data based on the preset number of candidate values includes: for each candidate value in the preset number of candidate values, extracting corresponding data from the data based on the candidate value and performing correlation operation on the data and a local sequence; the determining the initial cell based on SSS detection results comprises: and determining the initial cell based on the candidate value corresponding to the largest second correlation peak in the correlation operation results.

Optionally, before performing SSS detection on the data based on the candidate value, the method further includes: and when the candidate values associated with the non-maximum SCS mode exist in the preset number of candidate values, carrying out rate conversion on the data to obtain the data meeting the non-maximum SCS mode.

To solve the foregoing technical problem, an embodiment of the present invention further provides an initial cell detection apparatus, including: a receiving module for receiving data based on a maximum SCS mode of SSB association, the data including information for initial cell search; a detection module that performs initial cell detection on the data in the SCS mode for each SCS mode when the SSB associates with the SCS modes; a determining module, configured to determine the initial cell according to the initial cell detection result of each of the plurality of SCS modes.

Optionally, the detection module includes: a rate conversion sub-module, which performs rate conversion on the data to obtain data satisfying the current SCS mode when the current SCS mode for initial cell detection is not the maximum SCS mode; and the detection sub-module is used for carrying out initial cell detection on the converted data in the current SCS mode.

Optionally, the rate conversion sub-module includes: and the extraction unit is used for filtering the data to extract the data meeting the current SCS mode, wherein the extracted data is the converted data.

Optionally, the detection module includes: a PSS detection sub-module, for each SCS mode, carrying out PSS detection on the data in the SCS mode to obtain a PSS candidate value set of the SCS mode; and the selecting submodule is used for selecting a preset number of candidate values from the PSS candidate value sets of the SCS modes, and the candidate values comprise information of the candidate initial cells.

Optionally, the PSS detection sub-module includes: a first correlation unit, configured to perform a correlation operation on the data and a local sequence to obtain the PSS candidate value set, where the PSS candidate value set includes a first correlation peak value and a corresponding candidate value that are higher than a first preset threshold in a result of the correlation operation.

Optionally, the PSS detection sub-module further includes: a rate conversion unit to rate convert the data to obtain data satisfying a current SCS mode when the current SCS mode for initial cell detection is not the maximum SCS mode before correlating the data with a local sequence.

Optionally, the selecting sub-module includes: a first selecting unit, configured to select a preset number of candidate values with a highest first correlation peak value from the PSS candidate value sets of the plurality of SCS modes.

Optionally, the first selecting unit includes: a second selecting unit, configured to perform mixed sorting on the first correlation peak values included in the PSS candidate value sets of the multiple SCS modes, and select a preset number of candidate values with the highest corresponding first correlation peak value from the first correlation peak values; or a third selecting unit, configured to select a specific number of candidate values with a highest first correlation peak value from at least one of the PSS candidate value sets of the plurality of SCS modes, respectively, to obtain the preset number of candidate values.

Optionally, the determining module includes: an SSS detection sub-module, configured to perform SSS detection on the data based on the preset number of candidate values; a determination submodule to determine the initial cell based on SSS detection results.

Optionally, the SSS detection sub-module includes: a second correlation unit, configured to, for each candidate value of the preset number of candidate values, extract corresponding data from the data based on the candidate value and perform a correlation operation with the local sequence; the determination sub-module includes: a determining unit, configured to determine the initial cell based on a candidate value corresponding to a largest second correlation peak in the results of the correlation operations.

Optionally, the initial cell detecting apparatus further includes: and the rate conversion module is used for performing rate conversion on the data to obtain the data meeting the non-maximum SCS mode when the candidate values associated with the non-maximum SCS mode exist in the preset number of candidate values before SSS detection is performed on the data based on the candidate values.

To solve the above technical problem, an embodiment of the present invention further provides a storage medium having stored thereon computer instructions, where the computer instructions execute the steps of the above method when executed.

In order to solve the above technical problem, an embodiment of the present invention further provides a terminal, including a memory and a processor, where the memory stores computer instructions capable of being executed on the processor, and the processor executes the computer instructions to perform the steps of the method.

Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:

the embodiment of the invention provides an initial cell detection method, which comprises the following steps: receiving data based on a maximum SCS mode of SSB association, the data including information for initial cell search; when the SSB associates multiple SCS modes, for each SCS mode, performing initial cell detection on the data in the SCS mode; and determining the initial cell according to the initial cell detection result of each SCS mode. Compared with the prior scheme that initial cell detection is carried out for each SCS mode associated with SSB and one time of collection is carried out for SCS detection, the scheme of the embodiment of the invention has the same data source when the initial cell detection is carried out for a plurality of SCS modes associated with SSB. That is, based on the scheme of the embodiment of the present invention, initial cell detection and SCS detection for each SCS mode associated with the SSB can be completed only by one-time data reception, so that the number of data reception times is effectively reduced, the network searching time is optimized, and the efficiency is improved. Further, the scheme of the embodiment of the present invention receives data based on the maximum SCS mode associated with SSB during the counting (that is, the counting is performed according to the maximum bandwidth in this embodiment), because the data actually includes data of other smaller SCS modes associated with SSB, when performing initial cell detection in other SCS modes associated with SSB, the data required for performing initial cell detection in this SCS mode can be segmented from the received data, so that it is possible to perform initial cell detection and SCS detection in multiple SCS modes with one counting.

Further, when the current SCS mode for initial cell detection is not the maximum SCS mode, performing rate conversion on the data to obtain data meeting the current SCS mode; and performing initial cell detection on the converted data in the current SCS mode. Those skilled in the art will appreciate that, based on the foregoing central idea, when performing initial cell detection in the non-maximum SCS mode, the received data may be subjected to rate conversion to obtain the data required by the current SCS mode, so that the appropriate data (i.e., the converted data) may be subjected to initial cell detection in the SCS mode to obtain accurate detection results.

Further, for each SCS mode, PSS detection is carried out on the data in the SCS mode to obtain a PSS candidate value set of the SCS mode; and selecting a preset number of candidate values from the PSS candidate value sets of the SCS modes, wherein the candidate values comprise information of the candidate initial cells. And the candidate values of the preset number are detection bases of subsequent SSS detection.

Further, SSS detection is carried out on the data based on the preset number of candidate values; determining the initial cell based on SSS detection results. Based on the scheme of the embodiment of the invention, the data is respectively subjected to PSS detection in each SCS mode associated with SSB, a preset number of candidate values are selected from detection results of all PSS detections, and then SSS detection is uniformly carried out, so that the detection efficiency is improved, and the network searching time is better shortened.

Drawings

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

FIG. 2 is a flowchart of one embodiment of step S102 of FIG. 1;

FIG. 3 is a flow diagram of another embodiment of step S102 of FIG. 1;

FIG. 4 is a flowchart of one embodiment of step S103 of FIG. 1;

fig. 5 is a schematic structural diagram of an initial cell detection apparatus according to an embodiment of the present invention;

FIG. 6 is a functional block diagram of an exemplary application scenario in accordance with an embodiment of the present invention;

FIG. 7 is a functional block diagram of another exemplary application scenario in accordance with an embodiment of the present invention.

Detailed Description

Those skilled in the art understand that, as background, the mainstream design of initial cell search (ICS for short, also referred to as initial cell detection) is implemented with PSS and SSS.

Specifically, PSS detection resolves the in-group identification NID2 (also referred to as N (2) _ ID) by correlating the received data with the local sequence; the SSS detection is based on the PSS detection result to find the group identification NID1 (also referred to as N (1) _ ID) by correlation; NID1 and NID2 constitute cell information (PID).

However, since a New Radio (NR, which may also be referred to as New air interface) system provides a concept of sub-carrier spacing SCS (SCS), for a bandwidth simultaneously supporting multiple SCS modes, if an existing ICS method is still used, multiple receptions need to be performed when an ICS is attempted on a grid (SS filter) of each Synchronization Signal, which seriously affects network searching time.

The present inventors have analyzed that this is because the current data received by the existing ICS method can only be used for detecting one SCS mode, which results in one collection for each SCS mode attempt.

In order to solve the above technical problem, an embodiment of the present invention provides an initial cell detection method, including: receiving data based on a maximum SCS mode associated with a Synchronization Signal Block (SSB), the data including information for initial cell search; when the SSB associates multiple SCS modes, for each SCS mode, performing initial cell detection on the data in the SCS mode; and determining the initial cell according to the initial cell detection result of each SCS mode.

Those skilled in the art will understand that the scheme of the embodiment of the present invention is based on the same data source for initial cell detection in multiple SCS modes associated with SSB. That is, based on the scheme of the embodiment of the present invention, initial cell detection and SCS detection for each SCS mode associated with the SSB can be completed only by one-time data reception, so that the number of data reception times is effectively reduced, the network searching time is optimized, and the efficiency is improved.

Further, the scheme of the embodiment of the present invention receives data based on the maximum SCS mode associated with SSB (that is, the received number of the embodiment is performed according to the maximum bandwidth) during the received number, and since the data actually includes data of other smaller SCS modes associated with SSB, when performing initial cell detection in other SCS modes associated with SSB, the data required for performing initial cell detection in the SCS mode can be segmented from the received data, so that it is possible to complete initial cell detection and SCS detection in multiple SCS modes with one received number.

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

Fig. 1 is a flowchart of an initial cell detection method according to an embodiment of the present invention. The method of the embodiment can be applied to the following scenes: and after the terminal is started, searching and residing in a scene of a suitable cell, wherein the suitable cell is the initial cell detected and determined by adopting the scheme of the embodiment.

The embodiment may be applied to a User Equipment side, for example, executed by a User Equipment (UE, also referred to as a terminal).

Specifically, in this embodiment, the initial cell detection method may include the following steps:

step S101, receiving data based on a maximum SCS mode associated with a Synchronization Signal Block (SSB), the data including information for initial cell search.

Step S102, when the SSB associates multiple SCS modes, for each SCS mode, perform initial cell detection on the data in the SCS mode.

Step S103, determining the initial cell according to the initial cell detection result of each of the SCS modes.

More specifically, the maximum SCS mode of the SSB association may refer to a maximum bandwidth that may be supported among a plurality of SCS modes of the SSB association. For example, assuming that the SSB associates (can also be understood as supporting) two SCS modes, namely, 30KHz (kilohertz) SCS mode and 15KHz SCS mode, the data is received based on the 30KHz SCS mode in step S101 of the present embodiment.

Further, the data amount of the received data is the data amount required for one detection period of the maximum SCS mode, that is, the data reception amount of a single ICS period in the NR system. For example, in the NR system, the ICS detection period is 20ms, and the received data includes a data amount of 20ms in the SCS mode of 30 KHz.

It should be noted that, for convenience of description, the present embodiment is specifically illustrated in the case that the SSB-associated SCS mode includes two SCS modes, namely, 30KHz SCS mode and 15KHz SCS mode, but in practical applications, the kind of the SSB-associated SCS mode may not be limited to the above two SCS modes (for example, the SSB-associated SCS mode may also include 60KHz SCS mode), and a person skilled in the art may adjust the bandwidth specifically supported by the SSB-associated SCS mode according to practical needs, which should not limit the solution of the present embodiment.

As a non-limiting example, the step S101 may include the steps of: storing an amount of data required for initial cell detection with an SSB bandwidth equal to or greater than the maximum SCS mode.

Further, the data may include PSS, SSS, etc. information for cell search.

Further, the specific number of SCS modes associated with the SSB and the bandwidth frequency bands supported by each SCS mode may be predetermined and known based on the protocol.

Further, referring to fig. 2, before actually performing the initial cell detection operation, the step S102 may include the following steps:

step S1021, determining whether the current SCS mode for initial cell detection is the maximum SCS mode.

Further, when the determination result in the step S1021 is negative, that is, when the current SCS mode is not the maximum SCS mode, step S1022 may be executed to perform rate conversion on the data to obtain data satisfying the current SCS mode; step S1023, performing initial cell detection on the converted data in the current SCS mode.

Otherwise, when the determination result in the step S1021 is affirmative, that is, when the current SCS mode is the maximum SCS mode, step S1024 may be performed, and the initial cell detection is directly performed on the data in the current SCS mode.

In other words, in the step S102, when performing initial cell detection on the data received in the step S101 in each SCS mode associated with SSB one by one (sequentially or synchronously), the data needs to be processed into data supported by the SCS mode adopted in this detection, and the processing is implemented based on rate conversion.

Specifically, the rate conversion is a conversion from a high rate to a low rate to convert data received based on a higher (i.e., maximum or greater than maximum) SCS mode to data supported by a lower SCS mode.

As a non-limiting example, in the step S1022, the data may be filtered to extract data satisfying the current SCS mode, where the extracted data is the converted data.

That is, the rate conversion may be implemented based on filter decimation to separate lower hertz (meeting the bandwidth supported by the lower SCS mode) data from higher SCS mode based received data.

For example, for a scenario where SSB associates two SCS modes, 30KHz SCS mode and 15KHz SCS mode, 7.68 mega (M) symbol data is received based on 30KHz SCS mode in the step S101, from which 15KHz SCS mode required data can be divided by a filter in the step S102.

Therefore, for different SCS modes, data satisfying different SCS modes can be obtained based on the same data source (i.e. based on the data received by the largest SCS mode) through different filters, so that multiple receptions are avoided, and detection of all SCS modes associated with the SSB and initial cell detection can be realized.

In other words, the above steps S1021 to S1024 can be understood as a preprocessing process of the data received in the step S101 before the step S102 is executed.

Further, referring to fig. 3, the step S1023 or the step S1024 may include the steps of:

in step S1025, for each SCS mode, PSS detection is performed on the data (including the converted data obtained in step S1022 and the data received in step S101) in the SCS mode to obtain a set of PSS candidate values in the SCS mode.

Step S1026, selecting a preset number of candidate values from the PSS candidate value sets of the multiple SCS modes, where the candidate values include information of the candidate initial cells. The candidate initial cell may refer to one or more cells that may be capable of becoming the initial cell where the UE camps at this time.

In particular, the PSS candidate value set may include information about the candidate initial cell.

In order to improve efficiency and optimize data throughput and processing speed, before performing SSS detection, the step S1026 may be performed to first screen a PSS candidate value set of each of the plurality of SCS modes, so as to select the preset number of candidate values as a detection basis for SSS detection.

Preferably, the preset number may be 8. In general, the more candidate values, the better the residency performance. In practical applications, a person skilled in the art can adjust the specific value of the preset number according to needs, which is not described herein again. For example, the specific value of the preset number may be related to the accuracy of the initial cell detection, the number of SCS modes associated with SSB, and other factors.

As a non-limiting example, for each SCS mode, when performing PSS detection on its corresponding data in the SCS mode, the step S1025 may include: and performing correlation operation on the data and a local sequence to obtain the PSS candidate value set, wherein the PSS candidate value set comprises a first correlation peak value and a corresponding candidate value, which are higher than a first preset threshold value, in a correlation operation result. The candidate value is NID2, and the PSS candidate value set may further include reference information of cell positions such as FOE corresponding to each first correlation peak.

In particular, the set of PSS candidate values may comprise all results of the correlation operation, i.e. all first correlation peaks and corresponding candidate values. Or, an initial threshold may also be preset, so as to perform preliminary screening on the result of the correlation operation, and select a first correlation peak value higher than the first preset threshold and a corresponding candidate value from the result, thereby reducing the subsequent data processing amount, optimizing the working efficiency of the UE, and reducing the power consumption.

Further, the first preset threshold may be a ratio of a correlation peak value to a mean value, wherein the correlation peak value may be the first correlation peak value, and the mean value may be a sum and a mean value of all first correlation peak values in the PSS candidate value set. Preferably, the first preset threshold may be 6, and in practical applications, a person skilled in the art may adjust a specific value of the first preset threshold as needed, which is not described herein again.

As a variation, the correlation results included in the PSS candidate value set may also be sorted according to the first correlation peak, and a candidate value corresponding to one or more first correlation peaks sorted at the top is taken as an element in the preset number of candidate values.

In a preferred embodiment, the same number of candidate values may be selected from the PSS candidate value sets of each SCS mode to form the predetermined number of candidate values, so as to improve reliability.

Alternatively, the number of candidates selected from the PSS candidate set of one SCS mode may be different from the number of candidates selected from the PSS candidate set of another SCS mode to flexibly accommodate different detection accuracies.

Further, the local sequence may be predetermined by a protocol or indicated by a higher layer.

As a non-limiting example, the step S1026 may include: and selecting a preset number of candidate values with the highest corresponding first correlation peak value from the PSS candidate value sets of the SCS modes.

In a preferred embodiment, the first correlation peak values included in the PSS candidate value sets of each of the plurality of SCS modes may be mixed and sorted, and a preset number of candidate values with the highest corresponding first correlation peak values are selected from the first correlation peak values, so as to fully utilize the performance difference and improve the reliability of the finally determined initial cell.

For example, the PSS candidate value sets obtained in the SCS mode of 15KHz and the PSS candidate value sets obtained in the SCS mode of 30KHz may be sorted integrally, the higher the first correlation peak value is, the more forward the sorting is, and then the 8 first correlation peak values sorted most forward and the corresponding candidate values thereof are selected from the sorted first correlation peak values to form the preset number of candidate values.

In a variation, a specific number of candidate values with the highest first correlation peak value may be selected from at least one of the PSS candidate value sets of the SCS modes, respectively, to obtain the preset number of candidate values.

For example, the preset number of candidate values may be formed by selecting, from the PSS candidate value set obtained in the 15KHz SCS mode and the PSS candidate value set obtained in the 30KHz SCS mode, the 4 first correlation peak values with the highest first correlation peak value and the corresponding candidate values, respectively.

As another example, the number of candidates selected from the set of PSS candidates obtained in SCS mode at 15KHz may be different from the number of candidates selected from the set of PSS candidates obtained in SCS mode at 30KHz, but the sum of the two numbers is the predetermined number.

For another example, the preset number of candidate values may be formed by selecting 8 first correlation peak values with the highest first correlation peak value and corresponding candidate values from the PSS candidate value set obtained in the 15KHz SCS mode or the PSS candidate value set obtained in the 30KHz SCS mode.

Optionally, the step S103 may include the following steps:

and step S1031, performing SSS detection on the data based on the preset number of candidate values.

Step S1032, the initial cell is determined based on SSS detection result.

Specifically, the SSS detection may extract, based on the PSS module location and the NID2 information, corresponding data from the data received in step S101 to perform correlation with the local sequence, and output a certain number of candidate values, where the candidate values include information of the initial cell.

As a non-limiting example, the step S1031 may include: for each candidate value in the preset number of candidate values, extracting corresponding data from the data based on the candidate value and performing correlation operation on the data and a local sequence; the step S1032 may include: and determining the initial cell based on the candidate value corresponding to the largest second correlation peak in the correlation operation results.

Further, since the aforementioned determination of the preset number of candidate values may be performed based on a mixing order, there may be a scenario in which data corresponding to the candidate values in the SCS mode of 15KHz is correlated when performing SSS detection. Since the data received in step S101 corresponds to the SCS mode of 30KHz, before step S1031 is executed, a determination step similar to step S1021 needs to be executed in the same direction, so that when the candidate values associated with the non-maximum SCS mode exist in the preset number of candidate values, the data is subjected to rate conversion to obtain data satisfying the non-maximum SCS mode.

The specific content of the rate conversion may refer to the related description in step S1022, which is not repeated herein.

Alternatively, the determining step before step S1031 may be omitted, and the UE may store the data after rate conversion in step S1022 for later use, so as to reduce the number of operation processes and improve the detection efficiency on the basis of sacrificing the storage space.

Thus, with the scheme of this embodiment, before PSS detection and SSS detection are performed, according to the current SCS mode to be detected, the stored data for performing ICS is processed (or not processed) based on the filter to obtain a PSS candidate value set of each SCS mode associated with the SSB, and then candidate values are selected from the PSS candidate value set to perform SSS detection, thereby finally obtaining an initial cell.

Specifically, the scheme of the embodiment of the present invention is based on the same data source when performing initial cell detection for multiple SCS modes associated with the SSB. That is, based on the scheme of the embodiment of the present invention, initial cell detection and SCS detection for each SCS mode associated with the SSB can be completed only by one-time data reception, so that the number of data reception times is effectively reduced, the network searching time is optimized, and the efficiency is improved.

Furthermore, the data is respectively subjected to PSS detection in each SCS mode associated with the SSB, a preset number of candidate values are selected from detection results of all PSS detections, and then SSS detection is uniformly performed, so that the detection efficiency is improved, and the network searching time is better shortened.

Fig. 5 is a schematic structural diagram of an initial cell detection apparatus according to an embodiment of the present invention. Those skilled in the art understand that the initial cell detection apparatus 5 in this embodiment is used to implement the method technical solutions in the embodiments shown in fig. 1 to fig. 4.

Specifically, in this embodiment, the initial cell detecting apparatus 5 may include: a receiving module 51, configured to receive data based on a maximum SCS mode of SSB association, the data including information for initial cell search; a detection module 52 for performing initial cell detection on the data in the SCS mode for each SCS mode when the SSB is associated with multiple SCS modes; a determining module 54, configured to determine the initial cell according to the initial cell detection result of each of the plurality of SCS modes.

Further, the detection module 52 may include: a rate conversion sub-module 521, configured to, when the current SCS mode for initial cell detection is not the maximum SCS mode, perform rate conversion on the data to obtain data that satisfies the current SCS mode; a detection sub-module 522, configured to perform initial cell detection on the converted data in the current SCS mode.

Further, the rate conversion sub-module 521 may include: an extracting unit 5211, configured to perform filtering processing on the data to extract data meeting the current SCS mode from the data, where the extracted data is the converted data.

Further, the detection module 52 may include: a PSS detection sub-module 523 configured to, for each SCS mode, perform PSS detection on the data in the SCS mode to obtain a PSS candidate value set of the SCS mode; a selecting sub-module 524, configured to select a preset number of candidate values from the PSS candidate value sets of the multiple SCS modes, where the candidate values include information of the candidate initial cells.

Further, the PSS detection submodule 523 may include: a first correlation unit 5232, configured to perform a correlation operation on the data and a local sequence to obtain the PSS candidate value set, where the PSS candidate value set includes a first correlation peak value and a corresponding candidate value that are higher than a first preset threshold in a result of the correlation operation.

Further, the PSS detection sub-module 523 may further include: a rate conversion unit 5231, before correlating the data with a local sequence, when the current SCS mode for initial cell detection is not the maximum SCS mode, rate-converts the data to obtain data satisfying the current SCS mode.

Further, the selecting sub-module 524 may include: a first selecting unit 5241, configured to select a preset number of candidate values with the highest first correlation peak from the PSS candidate value sets of the plurality of SCS modes.

Further, the first selecting unit 5241 may include: a second selecting unit 52411, configured to perform hybrid sorting on the first correlation peak values included in the PSS candidate value sets of the multiple SCS modes, and select a preset number of candidate values with the highest corresponding first correlation peak value; or the third selecting unit 52412, configured to select a specific number of candidate values with the highest first correlation peak from at least one of the PSS candidate value sets of the plurality of SCS modes, respectively, to obtain the preset number of candidate values.

Further, the determining module 54 may include: an SSS detection sub-module 541 configured to perform SSS detection on the data based on the preset number of candidate values; a determining submodule 542 configured to determine the initial cell based on an SSS detection result.

Further, the SSS detection sub-module 541 may include: a second correlation unit 5411, configured to, for each candidate value of the preset number of candidate values, extract, based on the candidate value, corresponding data from the data and perform a correlation operation with the local sequence; the determination submodule 542 may: a determining unit 5421, configured to determine the initial cell based on a candidate value corresponding to a largest second correlation peak in the result of the correlation operation.

Further, the initial cell detecting apparatus 5 may further include: and a rate conversion module 53, configured to, before SSS detection is performed on the data based on the candidate value, rate convert the data to obtain data satisfying a non-maximum SCS mode when a candidate value associated with the non-maximum SCS mode exists in the preset number of candidate values.

It should be noted that the rate conversion sub-module 521, the rate conversion unit 5231 and the rate conversion module 53 may be integrated into the same module, and respectively perform rate conversion on the data received by the receiving module 51 in different scenarios or embodiments to convert the data into the data required by the SCS mode currently performing the initial cell detection/PSS detection/SSS detection. Alternatively, the three modules may be integrated into different modules, so as to perform the rate conversion operation in the respective scenes independently.

For more details of the operation principle and the operation mode of the initial cell detection apparatus 5, reference may be made to the related descriptions in fig. 1 to fig. 4, which are not repeated herein.

In a typical application scenario, referring to fig. 6, assuming that the bandwidth supports two SCS modes of 30KHz and 15KHz, an initially powered-on UE (not shown) can perform initial cell detection and SCS mode detection by using the method described in fig. 1 to 4 based on the initial cell detection apparatus 5 shown in fig. 5.

Specifically, the UE may invoke the receiving module 51 to receive data required by the UE for initial cell detection at a bandwidth of 30KHz, where the received amount of the data is based on the amount of data required by the UE to perform single initial cell detection (within one ICS period).

More specifically, the UE may also call the data storage module 61 to store the data received by the receiving module 51. Wherein the stored data is for an SCS pattern of 30 KHz.

Further, for each SCS mode, the initial cell detection procedure may include a PSS detection procedure based on PSS detection module 63 and an SSS detection procedure based on SSS detection module 64.

Further, the UE may determine the initial cell based on the detection result of the SSS detection module 64.

Wherein the filter and decimation module 62 may correspond to the rate conversion sub-module 521 (or the rate conversion unit 5231, the rate conversion module 53) in the embodiment shown in fig. 5; the PSS detection module 63 may correspond to the detection module 52 described above in the embodiment of fig. 5; the SSS detection module 64 may correspond to the determination module 54 in the embodiment of fig. 5 described above.

In a more detailed application scenario, in conjunction with fig. 6 and 7, the PSS detection module 63 may include a SCS 30k (hz) mode PSS detection module 631 for PSS detection of 30KHz SCS mode data; 15k (hz) mode PSS detection module 632, configured to perform PSS detection on 15KHz SCS mode data; the PSS post-processing module is configured to pre-process PSS detection results obtained by the PSS detection module 631 in the SCS 30k (hz) mode and the PSS detection module 632 in the SCS 15k (hz) mode, so as to screen out a PSS candidate value set for the SSS detection module 64 to perform SSS detection.

Further, when the 30KHz SCS mode data is detected by PSS, the data is directly obtained from the data storage module 61. Thus, the filter and decimation module 62 may be omitted, and the PSS detection module 63 (in this case, the PSS detection module 631 corresponding to the SCS 30k (hz) mode) may directly perform PSS detection operation using the data stored in the data storage module 61 to obtain the PSS candidate set (PSS _ set30K) in the SCS mode of 30 KHz.

Further, when the 15KHz SCS mode data is detected by PSS, the data from the data storage module 61 needs to be subjected to rate conversion by the filter and decimation module 62 to obtain the data satisfying the 15KHz SCS mode. At this time, the PSS detecting module 63 (corresponding to the SCS 15k (hz) mode PSS detecting module 632) performs PSS detecting operation by using the converted data, so as to obtain a 15KHz PSS candidate value set in SCS mode (PSS _ set 15K).

Further, with reference to fig. 7, the PSS post-processing module 633 (corresponding to the selecting sub-module 524 in the embodiment shown in fig. 5) may select a preset number of candidate values (PSS _ set) with the highest corresponding first correlation peak values from PSS _ set15K and PSS _ set30K to be output for the SSS detecting module 64 to use. For the specific selection strategy of the PSS post-processing module 633, reference may be made to the related descriptions in fig. 1 to 5, which are not repeated herein.

Further, the SSS detection module 64 may perform SSS detection on the data stored in the data storage module 61 by using PSS _ set output by the PSS post-processing module 633.

If a candidate value in 15KHz SCS mode exists in the PSS _ set, before SSS detection is performed on data corresponding to the candidate value, the data taken from the data storage module 61 needs to be subjected to rate conversion by the filter and extraction module 62, so as to obtain data satisfying 15KHz SCS mode for SSS detection.

For a candidate value of the SCS mode satisfying 15KHz in the PSS _ set, SSS detection may be directly performed on data corresponding to the candidate value taken from the data storage module 61.

Further, after SSS detection is completed for all data corresponding to the PSS _ set, cell information corresponding to the largest second correlation peak is selected from the SSS detection results as a final initial cell (CellID _ final) and output.

As a variation, the receiving module 51 and the data storage module 61 may also receive and store the data at a bandwidth greater than 30KHz, and both the PSS detecting module 63 and the SSS detecting module 64 need to perform rate conversion on the data stored in the data storage module 61 through the filter and decimation module 62 before performing their respective detecting operations, so as to obtain the data satisfying the SCS mode of 30KHz for their respective detecting operations.

Further, the embodiment of the present invention further discloses a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the method technical solution described in the embodiments shown in fig. 1 to fig. 4 is executed. Preferably, the storage medium may include a computer-readable storage medium such as a non-volatile (non-volatile) memory or a non-transitory (non-transient) memory. The storage medium may include ROM, RAM, magnetic or optical disks, etc.

Further, an embodiment of the present invention further discloses a terminal, which includes a memory and a processor, where the memory stores a computer instruction capable of running on the processor, and the processor executes the method technical solution described in the embodiments shown in fig. 1 to 4 when running the computer instruction. Preferably, the terminal may be the User Equipment (UE).

Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. An initial cell detection method, comprising:

receiving data based on a maximum SCS mode of SSB association, the data including information for initial cell search;

when the SSB is associated with a plurality of SCS modes, performing initial cell detection on the data in each SCS mode, wherein when the current SCS mode for performing initial cell detection is not the maximum SCS mode, performing rate conversion on the data to obtain data meeting the current SCS mode;

and determining the initial cell according to the initial cell detection result of each SCS mode.

2. The method of claim 1, wherein the performing initial cell detection on the data in the SCS mode comprises:

and performing initial cell detection on the converted data in the current SCS mode.

3. The initial cell detection method of claim 2, wherein the transrating the data to obtain the data satisfying the current SCS mode comprises:

and filtering the data to extract data meeting the current SCS mode, wherein the extracted data is the converted data.

4. The method of claim 1, wherein for each SCS mode, performing initial cell detection on the data in the SCS mode comprises:

for each SCS mode, PSS detection is carried out on the data under the SCS mode so as to obtain a PSS candidate value set of the SCS mode;

and selecting a preset number of candidate values from the PSS candidate value sets of the SCS modes, wherein the candidate values comprise information of the candidate initial cells.

5. The initial cell detection method of claim 4, wherein the PSS detection of the data in SCS mode to obtain the set of PSS candidates in SCS mode comprises:

and performing correlation operation on the data and a local sequence to obtain the PSS candidate value set, wherein the PSS candidate value set comprises a first correlation peak value and a corresponding candidate value, which are higher than a first preset threshold value, in a correlation operation result.

6. The initial cell detection method of claim 5, wherein the selecting a predetermined number of candidate values from the set of PSS candidate values for each of the plurality of SCS modes comprises:

and selecting a preset number of candidate values with the highest corresponding first correlation peak value from the PSS candidate value sets of the SCS modes.

7. The method of claim 6, wherein the selecting the predetermined number of candidate values with the highest first correlation peak from the set of PSS candidate values of each of the SCS modes comprises:

performing mixed sorting on first correlation peak values included in the PSS candidate value sets of the SCS modes respectively, and selecting a preset number of candidate values with the highest corresponding first correlation peak values; or

And selecting a specific number of candidate values with the highest corresponding first correlation peak value from at least one of the PSS candidate value sets of the SCS modes respectively to obtain the preset number of candidate values.

8. The method of claim 5, wherein the determining the initial cell according to the initial cell detection result of each of the plurality of SCS modes comprises:

performing SSS detection on the data based on the preset number of candidate values;

determining the initial cell based on SSS detection results.

9. The initial cell detection method of claim 8, wherein the SSS detection of the data based on the preset number of candidate values comprises:

for each candidate value in the preset number of candidate values, extracting corresponding data from the data based on the candidate value and performing correlation operation on the data and a local sequence;

the determining the initial cell based on SSS detection results comprises:

and determining the initial cell based on the candidate value corresponding to the largest second correlation peak in the correlation operation results.

10. The initial cell detection method of claim 9, wherein before performing SSS detection on the data based on the candidate value, the method further comprises: and when the candidate values associated with the non-maximum SCS mode exist in the preset number of candidate values, carrying out rate conversion on the data to obtain the data meeting the non-maximum SCS mode.

11. An initial cell detection apparatus, comprising:

a receiving module for receiving data based on a maximum SCS mode of SSB association, the data including information for initial cell search;

a detection module for performing initial cell detection on the data in each SCS mode when the SSB is associated with a plurality of SCS modes, wherein when the current SCS mode for initial cell detection is not the maximum SCS mode, the detection module performs rate conversion on the data to obtain data satisfying the current SCS mode;

a determining module, configured to determine the initial cell according to the initial cell detection result of each of the plurality of SCS modes.

12. The initial cell detection apparatus of claim 11, wherein the detection module comprises:

and the detection sub-module is used for carrying out initial cell detection on the converted data in the current SCS mode.

13. The initial cell detection apparatus according to claim 12, wherein the detection module comprises:

and the extraction unit is used for filtering the data to extract the data meeting the current SCS mode, wherein the extracted data is the converted data.

14. The initial cell detection apparatus of claim 11, wherein the detection module comprises:

a PSS detection sub-module, for each SCS mode, carrying out PSS detection on the data in the SCS mode to obtain a PSS candidate value set of the SCS mode;

and the selecting submodule is used for selecting a preset number of candidate values from the PSS candidate value sets of the SCS modes, and the candidate values comprise information of the candidate initial cells.

15. The initial cell detection apparatus of claim 14, wherein the PSS detection submodule comprises:

a first correlation unit, configured to perform a correlation operation on the data and a local sequence to obtain the PSS candidate value set, where the PSS candidate value set includes a first correlation peak value and a corresponding candidate value that are higher than a first preset threshold in a result of the correlation operation.

16. The initial cell detection apparatus according to claim 15, wherein the selecting sub-module comprises:

a first selecting unit, configured to select a preset number of candidate values with a highest first correlation peak value from the PSS candidate value sets of the plurality of SCS modes.

17. The initial cell detection apparatus according to claim 16, wherein the first selecting unit comprises:

a second selecting unit, configured to perform mixed sorting on the first correlation peak values included in the PSS candidate value sets of the multiple SCS modes, and select a preset number of candidate values with the highest corresponding first correlation peak value from the first correlation peak values; or

A third selecting unit, configured to select a specific number of candidate values with a highest first correlation peak value from at least one of the PSS candidate value sets of the plurality of SCS modes, respectively, to obtain the preset number of candidate values.

18. The initial cell detection apparatus of claim 15, wherein the determining module comprises:

an SSS detection sub-module, configured to perform SSS detection on the data based on the preset number of candidate values;

a determination submodule to determine the initial cell based on SSS detection results.

19. The initial cell detection apparatus of claim 18, wherein the SSS detection sub-module comprises:

a second correlation unit, configured to, for each candidate value of the preset number of candidate values, extract corresponding data from the data based on the candidate value and perform a correlation operation with the local sequence;

the determination sub-module includes:

a determining unit, configured to determine the initial cell based on a candidate value corresponding to a largest second correlation peak in the results of the correlation operations.

20. The initial cell detection apparatus as claimed in claim 19, further comprising: and the rate conversion module is used for performing rate conversion on the data to obtain the data meeting the non-maximum SCS mode when the candidate values associated with the non-maximum SCS mode exist in the preset number of candidate values before SSS detection is performed on the data based on the candidate values.

21. A storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the method of any one of claims 1 to 10.

22. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the method of any one of claims 1 to 10.