CN117335930B - Multi-cell blind detection method, device and storage medium - Google Patents
Multi-cell blind detection method, device and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
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- H04L1/0038—Blind format detection
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- H04W72/232—Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal the control data signalling from the physical layer, e.g. DCI signalling
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- Y02D30/00—Reducing energy consumption in communication networks
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Abstract
The application provides a multi-cell blind detection method, a multi-cell blind detection device and a storage medium. The multi-cell blind detection method relates to the technical field of communication, and comprises the following steps: performing cell blind detection when a plurality of cells are divided, and dividing CCEs corresponding to the current cell into a plurality of CCE groups for each cell; sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence; and sequentially performing rate-de-matching on a plurality of CCE combinations according to a preset aggregation level sequence to obtain a rate-de-matching result, and performing Viterbi decoding on the rate-de-matching result to obtain a blind detection result. According to the multi-cell blind detection method, the device and the storage medium, CCE grouping and CCE combination are carried out on the full CCE space of each cell, and the solution rate matching and decoding are sequentially carried out on each CCE combination according to the preset aggregation level sequence, so that the multi-cell blind detection method, the device and the storage medium are suitable for multi-cell blind detection scenes, high-throughput multi-cell blind detection search is realized, and multi-cell blind detection efficiency is improved.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a multi-cell blind detection method, device, and storage medium.
Background
In the field of long term evolution (Long Term Evolution, LTE) communications, a physical downlink control channel (Physical Downlink Control Channel, PDCCH) carries downlink control information (Downlink Control Information, DCI), where DCI information includes scheduling and control information at a system Cell (Cell) level and scheduling and control information at a User level. One PDCCH may carry one DCI information, and one cell may schedule multiple UEs simultaneously in uplink and downlink, i.e., multiple PDCCHs are transmitted within one subframe, and each scheduling information is transmitted on a separate PDCCH.
On the receiving side, the terminal UE or other receiver usually adopts a blind detection mode to find the required PDCCH to demodulate and decode and recover the required DCI information. However, most of the existing technical schemes perform blind detection based on prior information, for example, the terminal knows which radio network temporary identifier (Radio Network Temporary Identity, RNTI) needs to be detected at different moments, performs blind detection based on the RNTI, and only supports blind detection search of a single cell, so that the existing PDCCH blind detection method is limited in application and has low flexibility and adaptability.
Disclosure of Invention
The embodiment of the application provides a multi-cell blind detection method, a multi-cell blind detection device and a storage medium, which are used for solving the technical problem of low adaptability of a cell blind detection search method in the prior art.
In a first aspect, an embodiment of the present application provides a multi-cell blind detection method, including:
and carrying out cell blind detection when a plurality of cells are distinguished, and carrying out cell blind detection on each cell through the following steps:
dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups;
sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence;
sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence to obtain a rate-de-matching result;
and carrying out Viterbi decoding on the rate-solving matching result to obtain a blind detection result.
In some embodiments, the sequentially performing rate de-matching on the plurality of CCE combinations according to the preset aggregation level order includes:
determining CCE combinations which are required to be subjected to rate de-matching at present according to the preset aggregation level sequence;
and performing parallel rate-resolving matching on the CCE combination which is currently required to be rate-resolving matched according to a plurality of downlink control information DCI formats.
In some embodiments, the Viterbi decoding the rate-de-matching result to obtain a blind detection result includes:
storing the rate-de-matching results corresponding to the DCI formats under each CCE combination into a group cache module in a ping-pong cache manner;
and performing Viterbi decoding on the solution rate matching result contained in the group of cache modules by utilizing a plurality of decoding modules to obtain a blind detection result.
In some embodiments, the Viterbi decoding of the solution rate matching result included in the set of buffer modules using a plurality of decoding modules includes:
and performing Viterbi decoding on the solution rate matching result contained in the non-empty group cache module by using the decoding module in the idle state.
In some embodiments, the number of CCE groups is a positive integer obtained by rounding up the quotient of the total number of CCEs and 8.
In some embodiments, the preset aggregation level order is 4,8,2,1, and the sequentially extracting, for each CCE group, a plurality of CCE combinations included in the CCE group according to the preset aggregation level order includes:
sequentially extracting CCE combinations formed by 4 CCEs with continuous indexes from the CCE group;
sequentially extracting CCE combinations formed by 8 CCEs with continuous indexes from the CCE group;
sequentially extracting CCE combinations consisting of 2 CCEs with continuous indexes from the CCE group;
CCE combinations consisting of individual CCEs are sequentially extracted from the CCE groups.
In some embodiments, the method further comprises:
and demodulating and descrambling the received signal to obtain the total CCE of the current cell.
In a second aspect, an embodiment of the present application provides a multi-cell blind detection device, including:
the division module is used for dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups when carrying out cell blind detection on each cell in a plurality of cells;
the extraction module is used for sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence when each cell in a plurality of cells is subjected to cell blind detection;
the first acquisition module is used for sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence when performing cell blind detection on each cell in a plurality of cells to obtain a rate-de-matching result;
and the second acquisition module is used for carrying out Viterbi decoding on the solution rate matching result when carrying out cell blind detection on each cell in the plurality of cells to obtain a blind detection result.
In some embodiments, the first acquisition module comprises:
a determining unit, configured to determine, according to the preset aggregation level order, a CCE combination that needs to be subjected to rate de-matching at present;
and the de-rate matching unit is used for performing parallel de-rate matching on the CCE combination which is required to be subjected to de-rate matching currently according to a plurality of downlink control information DCI formats.
In some embodiments, the second acquisition module comprises:
the storage unit is used for storing the rate-de-matching results corresponding to the DCI formats under each CCE combination into the group cache module in a ping-pong cache manner;
and the acquisition unit is used for carrying out Viterbi decoding on the solution rate matching result contained in the group of cache modules by utilizing a plurality of decoding modules to obtain a blind detection result.
In some embodiments, the acquisition unit comprises:
and the decoding subunit is used for performing Viterbi decoding on the decoding rate matching result contained in the non-empty group cache module by using the decoding module in the idle state.
In some embodiments, the number of CCE groups is a positive integer obtained by rounding up the quotient of the total number of CCEs and 8.
In some embodiments, the preset aggregation level order is 4,8,2,1, and the extracting module includes:
a first extraction unit, configured to sequentially extract CCE combinations composed of 4 CCEs with consecutive indexes from the CCE group;
a second extraction unit, configured to sequentially extract CCE combinations composed of 8 CCEs with consecutive indexes from the CCE group;
a third extraction unit, configured to sequentially extract CCE combinations composed of 2 CCEs with consecutive indexes from the CCE group;
a fourth extracting unit, configured to sequentially extract CCE combinations composed of single CCEs from the CCE group.
In some embodiments, a third acquisition module is further included;
the third acquisition module is used for demodulating and descrambling the received signals to obtain the total CCE of the current cell.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the multi-cell blind detection method according to the first aspect.
In a fourth aspect, embodiments of the present application further provide a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the multi-cell blind detection method as described in the first aspect above.
In a fifth aspect, embodiments of the present application further provide a computer program product comprising a computer program which, when executed by a processor, implements the multi-cell blind detection method as described in the first aspect above.
According to the multi-cell blind detection method, device and storage medium, the blind detection of the cells is carried out when the cells are divided, CCEs corresponding to the current cell are divided into a plurality of CCE groups for each cell, a plurality of CCE combinations contained in the CCE groups are sequentially extracted from each CCE group according to a preset aggregation level sequence, then the plurality of CCE combinations are sequentially subjected to rate solution matching according to the preset aggregation level sequence, a rate solution matching result is obtained, viterbi decoding is carried out on the rate solution matching result, a blind detection result is obtained, the method is applicable to a scene of multi-cell blind detection search, prior information is not needed, efficient multi-cell blind detection can be achieved, and multi-cell blind detection search with high throughput is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a multi-cell blind detection method provided in an embodiment of the present application;
fig. 2 is a CCE combination extraction diagram of an example scenario provided by an embodiment of the present application;
fig. 3 is a schematic diagram of a multi-cell blind detection flow in an example scenario provided in an embodiment of the present application;
fig. 4 is a schematic diagram of a rate-de-matching flow for an example scenario provided by an embodiment of the present application;
fig. 5 is a schematic diagram of a de-rate matching result buffer and Viterbi decoding cross-scheduling structure for an exemplary scenario provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a multi-cell blind detection device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
On the receiving side, the terminal UE or other receivers need to find the PDCCH required by themselves, demodulate and decode to recover the required DCI information. However, the receiving side does not know the specific position of the PDCCH, the amount of occupied resources and the DCI length, and needs to adopt a blind detection mode to try DCI combinations of different positions, different resource lengths and different lengths to try to decode the PDCCH, and if the RNTI is known, the 16-bit RNTI is used for verification.
The search space includes a common search space (Common Search Spaces, CSS) and a UE-specific search space (UE-specific Search Space, USS). The PDCCH blind detection is to attempt decoding at different resource positions for the two search spaces, and determine DCI data, length and format for subsequent DCI analysis according to whether the CRC check successfully judges whether the PDCCH is detected or not.
The existing blind detection method is mostly based on prior information, for example, system information radio network temporary identity (System Information Radio Network Temporary Identifier, SI-RNTI) is used when system information is received first (e.g. 65535), random access radio network temporary identity (Random Access Radio Network Temporary Identity, RA-RNTI) is expected to be received at access (range 1-60), cell radio network temporary identity (Cell Radio Network Temporary Identity, C-RNTI) allocated by base station is used at expected time and location when service is performed (range 61-65533), blind detection search is performed, such as wake-up standby state, paging radio network temporary identity (Paging Radio Network Temporary Identifier, P-RNTI) is expected to be received (e.g. 65534).
Based on the technical problems, the embodiment of the application provides a multi-cell blind test method, which comprises the steps of dividing a control channel unit (Control Channel Element, CCE) corresponding to a current cell into a plurality of CCE groups, sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence, sequentially performing de-rate matching on the plurality of CCE combinations according to the preset aggregation level sequence to obtain a de-rate matching result, performing Viterbi decoding on the de-rate matching result to obtain a blind test result, and being suitable for a scene of multi-cell blind test search.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Fig. 1 is a schematic flow chart of a multi-cell blind detection method provided in the embodiment of the present application, as shown in fig. 1, where an execution body of the multi-cell blind detection method may be a receiving end, for example, a terminal or other receivers. The method comprises the following steps:
and carrying out cell blind detection when a plurality of cells are distinguished, and carrying out cell blind detection on each cell through the following steps:
step 101, dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups.
Specifically, blind detection is performed when a plurality of cells are distinguished, and CCEs corresponding to the current cell are divided into a plurality of CCE groups for the current cell. The CCE is a minimum single PDCCH transmission unit defined in a long term evolution (Long Term Evolution, LTE) system, one CCE is equal to 9 Resource Element groups (Resource Element Group, REG), one REG is equal to 4 Resource Elements (REs), and RE is a minimum Resource unit modulated by LTE data (including control data and user data), and for DCI, the Resource unit modulated by control data.
Optionally, the number of the CCE groups is a positive integer obtained by rounding up the quotient of the total number of CCEs and 8. I.e. divided into P groups in units of 8 CCEs over the total CCE space of the current cell,wherein, "-is->"means round up, and M means total number of CCEs. Although the division is made in units of 8 CCEs, the last group does not necessarily have 8 CCEs, and the number of CCEs included in the last CCE group may be any one of values 1 to 7.
For example, the total number of CCEs of the current cell is 87, the 87 CCEs are divided in 8CCE units, and 11 CCE groups are obtained by dividing the total number into 11 groups, wherein the first 10 CCE groups each contain 8 CCEs, and the last CCE group contains only 7 CCEs.
In some embodiments, the received signal needs to be demodulated and descrambled to obtain the total CCEs of the current cell before dividing the CCEs to obtain multiple CCE groups.
Step 102, sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence.
Specifically, the index of the aggregation level (Aggregation Level, AL) single DCI is continuous CCE number, the aggregation level includes 1, 2, 4 and 8, and is continuously distributed in the total CCEs available in the entire subframe. If the communication condition is good, the aggregation level used is 1, the communication condition is poor, the aggregation level is 8, and if the communication condition is moderate, the aggregation level is 2 or 4, for example, the scheduling and control information DCI of the system Cell (Cell) level is generally 4 or 8.
And sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence.
Optionally, the preset aggregation level sequence is 4,8,2,1, and the sequentially extracting, for each CCE group, multiple CCE combinations included in the CCE group according to the preset aggregation level sequence includes:
sequentially extracting CCE combinations formed by 4 CCEs with continuous indexes from the CCE group; sequentially extracting CCE combinations formed by 8 CCEs with continuous indexes from the CCE group; sequentially extracting CCE combinations consisting of 2 CCEs with continuous indexes from the CCE group; CCE combinations consisting of individual CCEs are sequentially extracted from the CCE groups.
For example, fig. 2 is a schematic diagram of CCE combination extraction in an exemplary scenario provided in an embodiment of the present application, where, as shown in fig. 2, CCEs of a current cell are cached in a PingPang (a/B) cache, and are divided into a plurality of CCE groups, and then 15 different CCE combinations included in the CCE group are sequentially extracted from the current CCE group (including 8 CCEs: CCE1 to CCE 8) according to a preset aggregation level order 4,8,2, and 1. Wherein, CCE combinations are respectively: two CCE combinations corresponding to aggregation level 4 (i.e., al=4) (CCE 1 to CCE4 are one CCE combination, CCE5 to CCE8 are one CCE combination), one CCE combination corresponding to aggregation level 8 (CCE 1 to CCE8 are one combination), four CCE combinations corresponding to aggregation level 2 (CCE 1 and CCE2, CCE3 and CCE4, CCE5 and CCE6, four CCE combinations of CCE7 and CCE 8), and eight CCE combinations corresponding to aggregation level 1 (single CCE is one CCE combination).
For another example, 4 CCE combinations included in the current CCE group (including 3 CCEs: CCE0, CCE1, and CCE 2) are sequentially extracted from the current CCE group according to a preset aggregation level order of 4,8,2, and 1, where the CCE combinations are respectively: one CCE combination corresponding to aggregation level 2 (a combination of CCE0 and CCE 1) and three CCE combinations corresponding to aggregation level 1 (three CCE combinations of CCE0, CCE1 and CCE 2).
And 103, sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence to obtain a rate-de-matching result.
Specifically, the rate-de-matching is sequentially performed on a plurality of CCE combinations according to a preset aggregation level sequence, and each CCE combination corresponds to a plurality of DCI formats (or DCI lengths) to obtain a rate-de-matching result.
For example, according to the preset aggregation level sequence 4,8,2 and 1, extracting 15 different CCE combinations, performing serial de-rate matching on each CCE combination by using nine common DCI formats, and performing serial de-rate matching on multiple CCE combinations to obtain a de-rate matching result.
And 104, performing Viterbi decoding on the rate-solution matching result to obtain a blind detection result.
Specifically, for each CCE combination, performing Viterbi decoding on a solution rate matching result obtained after solution rate matching to obtain a final blind detection result.
For example, nine DCI format de-rate matching is performed sequentially and serially for 15 different CCE combinations, resulting in 15×9 de-rate matching results. And carrying out Viterbi decoding on the solution rate matching result to obtain 15 multiplied by 9 blind detection results.
After the blind detection result corresponding to the current cell is obtained, the same blind detection flow is started for the next cell, and the blind detection result corresponding to the next cell is obtained.
For example, fig. 3 is a schematic diagram of a multi-cell blind detection flow in an exemplary scenario provided in the embodiment of the present application, where, as shown in fig. 3, blind detection is performed for 8 cells, and the cell numbers are 0 to 7. For the nth cell (where n has a value of 1 to 8), first, the LTE received signal is demodulated and descrambled to obtain the total CCE of the cell (a subframe is a unit in time, and one subframe is 1 ms). P CCE groups are divided into, for example, 87 total CCEs (CCE 0 to CCE 86) in units of 8 CCEs over the total CCE space, then p=11, the 1 st CCE group contains CCE0 to CCE7, the starting number is CCE0, the 2 nd CCE group contains CCE8 to CCE15, the starting number is CCE8, … …, the 11 th CCE group contains CCE80 to CCE86, and the starting number is CCE80. The first 10 CCE groups, each with 8 CCEs, and the last CCE group with only 7 CCEs.
For each CCE group, extracting at most 15 CCE combinations with different numbers in the current CCE group according to the sequence of the aggregation level AL= 4,8,2,1, wherein each CCE combination corresponds to 9 different DCI formats (DCI lengths), performing de-rate matching on 9 DCI formats (L is greater than or equal to the DCI length) in sequence and in series for each CCE combination (corresponds to one information length L), and performing de-rate matching on each CCE combination in sequence to obtain a de-rate matching result. And carrying out Viterbi decoding on the solution rate matching result to obtain blind detection results, wherein each CCE group corresponds to 15 multiplied by 9 blind detection results at most. After the blind detection search of 11 CCE groups of the current cell is executed, a blind detection result of the current cell is obtained.
And (3) starting blind detection search of the (n+1) th cell, wherein the steps are the same as the blind detection step of the n th cell, and the multi-cell blind detection is realized for multi-cell polling processing.
According to the multi-cell blind detection method, CCEs corresponding to the current cell are divided into a plurality of CCE groups, a plurality of CCE combinations contained in the CCE groups are sequentially extracted from each CCE group according to a preset aggregation level sequence, then the plurality of CCE combinations are sequentially subjected to de-rate matching according to the preset aggregation level sequence to obtain a de-rate matching result, viterbi decoding is performed on the de-rate matching result to obtain a blind detection result, the method is suitable for a scene of multi-cell blind detection search, efficient multi-cell blind detection can be achieved without priori information such as RNTI, high-throughput multi-cell blind detection search is achieved, and application flexibility is improved.
In some embodiments, the sequentially performing rate de-matching on the plurality of CCE combinations according to the preset aggregation level order includes:
determining CCE combinations which are required to be subjected to rate de-matching at present according to the preset aggregation level sequence;
and performing parallel rate-resolving matching on the CCE combination which is currently required to be rate-resolving matched according to a plurality of downlink control information DCI formats.
Specifically, after extracting multiple CCE combinations, serial de-rate matching is performed on the CCE combinations, where each CCE combination is de-rate matched in parallel with multiple DCI formats.
For example, fig. 4 is a schematic diagram of a rate de-matching flow in an exemplary scenario provided in the embodiment of the present application, as shown in fig. 4, after 15 CCE combinations are obtained according to a preset aggregation level sequence (e.g. a sequence of 4,8,2, and 1), the 15 CCE combinations serially flow into 9 DCI rate de-matching modules, where the 9 DCI rate de-matching modules correspond to 9 DCI lengths (DCI 1 to DCI 9), so as to implement a rate de-matching operation of a current CCE combination. 15 de-rate matching in series for each aggregation level/CCE combination, including:
1 st time: al=4 makes 9-path DCI format parallel rate-de-matching (starting position is 0);
2 nd time: al=4 makes 9-path DCI format parallel rate-de-matching (starting position 4);
3 rd time: al=8 makes 9 paths of DCI format parallel rate-de-matching (initial position is 0);
4 th time: al=2, 9 paths of DCI format parallel rate-de-matching (initial position is 0);
the 5 th time: al=2, 9 paths of DCI format parallel rate-de-matching (starting position is 2);
the 6 th time: al=2, 9 paths of DCI format parallel rate-de-matching (starting position is 4);
the 7 th time: al=2, 9 paths of DCI format parallel rate-de-matching (initial position is 6);
8 th time: al=1 makes 9 paths of DCI format parallel rate-de-matching (initial position is 0);
the 9 th time: al=1, 9 paths of DCI format parallel rate-de-matching (initial position is 1);
10 th time: al=1, 9 paths of DCI format parallel rate-de-matching (starting position is 2);
11 th time: al=1, 9 paths of DCI format parallel rate-de-matching (initial position is 3);
12 th time: al=1, 9 paths of DCI format parallel rate-de-matching (starting position is 4);
13 th time: al=1, 9 paths of DCI format parallel rate-de-matching (initial position is 5);
the 14 th time: al=1, 9 paths of DCI format parallel rate-de-matching (initial position is 6);
15 th time: al=1 makes 9-way DCI format parallel rate dematching (starting position 7).
And then caching the 9-path DCI format parallel rate-resolving matching result by adopting a PingPang caching mechanism.
According to the multi-cell blind detection method, CCE grouping and CCE combination are carried out on the full CCE space of each cell, serial de-rate matching is sequentially carried out on the CCE combinations according to a preset aggregation level sequence, multi-channel DCI format parallel de-rate matching is carried out on each de-rate matching, rate matching knowing efficiency is improved, and multi-cell blind detection efficiency is improved.
In some embodiments, the Viterbi decoding the rate-de-matching result to obtain a blind detection result includes:
storing the rate-de-matching results corresponding to the DCI formats under each CCE combination into a group cache module in a ping-pong cache manner;
and performing Viterbi decoding on the solution rate matching result contained in the group of cache modules by utilizing a plurality of decoding modules to obtain a blind detection result.
Specifically, the rate-de-matching results corresponding to the multiple DCI formats under each CCE combination are stored in a group buffer module in a ping-pong (ping-pong) buffer. And then, a plurality of decoding modules are used for carrying out cross scheduling on the group cache module, and Viterbi decoding is carried out on the solution rate matching result contained in the group cache module to obtain a blind detection result.
For example, fig. 5 is a schematic diagram of a cross scheduling structure of rate-matching result buffering and Viterbi decoding in the exemplary scenario provided in the embodiments of the present application, as shown in fig. 5, the obtained 9 parallel rate-matching result is written into 5 groups of buffering modules (i.e. Group buffering), where each Group of Group buffering has 9 paths of ping buffering, and the decoding module (including Viterbi1 decoding to Viterbi5 decoding 5 modules) schedules the Group buffering to obtain decoded data (i.e. the rate-matching result in the Group buffering), so as to perform Viterbi decoding and obtain a blind detection result.
In some embodiments, the Viterbi decoding of the solution rate matching result included in the set of buffer modules using a plurality of decoding modules includes:
and performing Viterbi decoding on the solution rate matching result contained in the non-empty group cache module by using the decoding module in the idle state.
Specifically, the rule of which group of buffer modules the decoding module schedules the rate-de-matching result is: the decoding module is in idle state, and the group buffer module is not empty (or there is data to be decoded in the group buffer module), the decoding module obtains the rate-de-matching result from the group buffer module to perform Viterbi decoding.
According to the multi-cell blind detection method, viterbi decoding is carried out by caching the solution rate matching result and the cross scheduling solution rate matching result, so that the Viterbi decoding efficiency can be greatly improved, multi-cell time-division decoding is realized, and the multi-cell blind detection efficiency is improved.
Fig. 6 is a schematic structural diagram of a multi-cell blind detection device provided in the embodiment of the present application, and as shown in fig. 6, the embodiment of the present application provides a multi-cell blind detection device, which includes a dividing module 601, an extracting module 602, a first obtaining module 603, and a second obtaining module 604.
The dividing module 601 is configured to divide a control channel element CCE corresponding to a current cell into a plurality of CCE groups when performing cell blind detection on each cell in the plurality of cells.
The extracting module 602 is configured to sequentially extract, for each CCE group, a plurality of CCE combinations included in the CCE group according to a preset aggregation level sequence when performing cell blind detection on each cell in the plurality of cells.
The first obtaining module 603 is configured to perform de-rate matching on a plurality of CCE combinations in sequence according to the preset aggregation level order when performing cell blind detection on each cell in the plurality of cells, so as to obtain a de-rate matching result.
The second obtaining module 604 is configured to perform Viterbi decoding on the solution rate matching result when performing cell blind detection on each cell in the plurality of cells, so as to obtain a blind detection result.
In some embodiments, the first acquisition module comprises:
a determining unit, configured to determine, according to the preset aggregation level order, a CCE combination that needs to be subjected to rate de-matching at present;
and the de-rate matching unit is used for performing parallel de-rate matching on the CCE combination which is required to be subjected to de-rate matching currently according to a plurality of downlink control information DCI formats.
In some embodiments, the second acquisition module comprises:
the storage unit is used for storing the rate-de-matching results corresponding to the DCI formats under each CCE combination into the group cache module in a ping-pong cache manner;
and the acquisition unit is used for carrying out Viterbi decoding on the solution rate matching result contained in the group of cache modules by utilizing a plurality of decoding modules to obtain a blind detection result.
In some embodiments, the acquisition unit comprises:
and the decoding subunit is used for performing Viterbi decoding on the decoding rate matching result contained in the non-empty group cache module by using the decoding module in the idle state.
In some embodiments, the number of CCE groups is a positive integer obtained by rounding up the quotient of the total number of CCEs and 8.
In some embodiments, the preset aggregation level order is 4,8,2,1, and the extracting module includes:
a first extraction unit, configured to sequentially extract CCE combinations composed of 4 CCEs with consecutive indexes from the CCE group;
a second extraction unit, configured to sequentially extract CCE combinations composed of 8 CCEs with consecutive indexes from the CCE group;
a third extraction unit, configured to sequentially extract CCE combinations composed of 2 CCEs with consecutive indexes from the CCE group;
a fourth extracting unit, configured to sequentially extract CCE combinations composed of single CCEs from the CCE group.
In some embodiments, a third acquisition module is further included;
the third acquisition module is used for demodulating and descrambling the received signals to obtain the total CCE of the current cell.
Specifically, the multi-cell blind detection device provided by the embodiment of the present application can implement all the method steps implemented by the multi-cell blind detection method embodiment, and can achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those of the method embodiment in the embodiment are omitted herein.
It should be noted that the division of the units/modules in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice. In addition, each functional unit in each embodiment of the present application 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.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 7, where the electronic device may include: a processor (processor) 701, a communication interface (Communications Interface) 702, a memory (memory) 703 and a communication bus 704, wherein the processor 701, the communication interface 702 and the memory 703 communicate with each other through the communication bus 704. The processor 701 may invoke logic instructions in the memory 703 to perform a multi-cell blind detection method comprising:
and carrying out cell blind detection when a plurality of cells are distinguished, and carrying out cell blind detection on each cell through the following steps:
dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups;
sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence;
sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence to obtain a rate-de-matching result;
and carrying out Viterbi decoding on the rate-solving matching result to obtain a blind detection result.
Specifically, the processor 701 may be a central processing unit (Central Processing Unit, CPU), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA), or a complex programmable logic device (Complex Programmable Logic Device, CPLD), and the processor may also employ a multi-core architecture.
The logic instructions in memory 703 may be implemented in the form of software functional units and may be stored in a processor-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application 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 to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In some embodiments, there is also provided a computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of performing the multi-cell blind detection method provided by the above method embodiments, the method comprising:
and carrying out cell blind detection when a plurality of cells are distinguished, and carrying out cell blind detection on each cell through the following steps:
dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups;
sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence;
sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence to obtain a rate-de-matching result;
and carrying out Viterbi decoding on the rate-solving matching result to obtain a blind detection result.
Specifically, the computer program product provided in the embodiment of the present application can implement all the method steps implemented by the method embodiments and achieve the same technical effects, and the parts and beneficial effects that are the same as those of the method embodiments in the embodiment are not described in detail herein.
In some embodiments, there is also provided a computer readable storage medium storing a computer program for causing a computer to execute the multi-cell blind detection method provided by the above method embodiments.
Specifically, the computer readable storage medium provided in the embodiment of the present application can implement all the method steps implemented by the embodiments of the present application and achieve the same technical effects, and the parts and beneficial effects that are the same as those of the embodiments of the present application are not described in detail herein.
It should be noted that: the computer readable storage medium may be any available medium or data storage device that can be accessed by a processor including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CD, DVD, BD, HVD, etc.), and semiconductor memory (e.g., ROM, EPROM, EEPROM, nonvolatile memory (NAND FLASH), solid State Disk (SSD)), etc.
In addition, it should be noted that: the terms "first," "second," and the like in the embodiments of the present application are used for distinguishing between similar objects and not for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the terms "first" and "second" are generally intended to be used in a generic sense and not to limit the number of objects, for example, the first object may be one or more.
The term "plurality" in the embodiments of the present application means two or more, and other adjectives are similar thereto.
The term "determining B based on a" in the present application means that a is a factor to be considered in determining B. Not limited to "B can be determined based on A alone", it should also include: "B based on A and C", "B based on A, C and E", "C based on A, further B based on C", etc. Additionally, a may be included as a condition for determining B, for example, "when a satisfies a first condition, B is determined using a first method"; for another example, "when a satisfies the second condition, B" is determined, etc.; for another example, "when a satisfies the third condition, B" is determined based on the first parameter, and the like. Of course, a may be a condition in which a is a factor for determining B, for example, "when a satisfies the first condition, C is determined using the first method, and B is further determined based on C", or the like.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (9)
1. A multi-cell blind detection method, comprising:
and carrying out cell blind detection when a plurality of cells are distinguished, and carrying out cell blind detection on each cell through the following steps:
dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups;
sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence;
sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence to obtain a rate-de-matching result;
viterbi decoding is carried out on the rate-solving matching result to obtain a blind detection result;
under the condition that blind detection searching of all CCE groups corresponding to the CCE total space of the current cell is completed, starting blind detection searching of the next cell;
the Viterbi decoding is carried out on the rate-solving matching result to obtain a blind detection result, which comprises the following steps:
storing the rate-de-matching results corresponding to the DCI formats under each CCE combination into a group cache module in a ping-pong cache manner;
and performing Viterbi decoding on the solution rate matching result contained in the group of cache modules by utilizing a plurality of decoding modules to obtain a blind detection result.
2. The multi-cell blind detection method according to claim 1, wherein the sequentially performing rate de-matching on the plurality of CCE combinations according to the preset aggregation level order includes:
determining CCE combinations which are required to be subjected to rate de-matching at present according to the preset aggregation level sequence;
and performing parallel rate-resolving matching on the CCE combination which is currently required to be rate-resolving matched according to a plurality of downlink control information DCI formats.
3. The method of claim 1, wherein the performing Viterbi decoding on the solution rate matching result included in the set of buffer modules by using a plurality of decoding modules comprises:
and performing Viterbi decoding on the solution rate matching result contained in the non-empty group cache module by using the decoding module in the idle state.
4. The multi-cell blind detection method according to claim 1, wherein the number of CCE groups is a positive integer obtained by rounding up a quotient of a total number of CCEs and 8.
5. The multi-cell blind detection method according to claim 1, wherein the preset aggregation level order is 4,8,2,1, and the sequentially extracting, for each CCE group, a plurality of CCE combinations included in the CCE group according to the preset aggregation level order includes:
sequentially extracting CCE combinations formed by 4 CCEs with continuous indexes from the CCE group;
sequentially extracting CCE combinations formed by 8 CCEs with continuous indexes from the CCE group;
sequentially extracting CCE combinations consisting of 2 CCEs with continuous indexes from the CCE group;
CCE combinations consisting of individual CCEs are sequentially extracted from the CCE groups.
6. The multi-cell blind detection method of claim 1, further comprising:
and demodulating and descrambling the received signal to obtain the total CCE of the current cell.
7. A multi-cell blind inspection device, comprising:
the division module is used for dividing a Control Channel Element (CCE) corresponding to a current cell into a plurality of CCE groups when carrying out cell blind detection on each cell in a plurality of cells;
the extraction module is used for sequentially extracting a plurality of CCE combinations contained in each CCE group according to a preset aggregation level sequence when each cell in a plurality of cells is subjected to cell blind detection;
the first acquisition module is used for sequentially performing rate-de-matching on a plurality of CCE combinations according to the preset aggregation level sequence when performing cell blind detection on each cell in a plurality of cells to obtain a rate-de-matching result;
the second acquisition module is used for carrying out Viterbi decoding on the solution rate matching result when carrying out cell blind detection on each cell in a plurality of cells to obtain a blind detection result, and starting blind detection search on the next cell under the condition that blind detection search on all CCE groups corresponding to the CCE total space of the current cell is carried out;
the Viterbi decoding is carried out on the rate-solving matching result to obtain a blind detection result, which comprises the following steps:
storing the rate-de-matching results corresponding to the DCI formats under each CCE combination into a group cache module in a ping-pong cache manner;
and performing Viterbi decoding on the solution rate matching result contained in the group of cache modules by utilizing a plurality of decoding modules to obtain a blind detection result.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, characterized in that the processor implements the multi-cell blind detection method according to any one of claims 1 to 6 when executing the program.
9. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the multi-cell blind detection method according to any of claims 1 to 6.
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| CN112398629A (en) * | 2019-08-16 | 2021-02-23 | 华为技术有限公司 | Communication method and device |
| CN114513836A (en) * | 2022-02-14 | 2022-05-17 | Oppo广东移动通信有限公司 | PDCCH blind detection method and terminal equipment |
| CN114696962A (en) * | 2022-06-02 | 2022-07-01 | 杰创智能科技股份有限公司 | Blind detection method, device, equipment and medium based on unknown RNTI |
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