CN113992249B

CN113992249B - Channel state information processing method and device, electronic equipment and storage medium

Info

Publication number: CN113992249B
Application number: CN202111159205.0A
Authority: CN
Inventors: 徐琪
Original assignee: Spreadtrum Semiconductor Nanjing Co Ltd
Current assignee: Spreadtrum Semiconductor Nanjing Co Ltd
Priority date: 2021-09-30
Filing date: 2021-09-30
Publication date: 2023-04-18
Anticipated expiration: 2041-09-30
Also published as: CN113992249A

Abstract

The invention discloses a channel state information processing method and device, electronic equipment and a storage medium. The method is applied to a controller of an electronic device, the electronic device further comprises a memory, and the method comprises the following steps: receiving channel state information sent by a base station, wherein the channel state information comprises at least two resources; calculating a channel state parameter corresponding to a target resource in the at least two resources according to the target resource and a historical channel state parameter acquired from the memory; wherein the historical channel state parameter is a channel state parameter calculated from one or some of the at least two resources and migrated from the controller to the memory. The historical channel state parameters calculated in one reporting period are stored in the memory instead of the controller, so that the internal storage space of the controller can be saved, the resource consumption of the controller is reduced, and the processing speed of the controller for processing other transactions is improved.

Description

Channel state information processing method and device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for processing channel state information, an electronic device, and a storage medium.

Background

Compared with LTE (long term evolution), NR (a communication technology) provides a larger bandwidth, and the characteristics of an air interface channel are more complicated, so that the data size of a channel state parameter is larger, and the storage capacity and the processing speed of a hardware device implementing NR are gradually unable to meet the requirements.

Disclosure of Invention

The technical problem to be solved by the present invention is to provide a method, an apparatus, an electronic device, and a storage medium for processing channel state information, in order to overcome the defect that the storage capacity and the processing speed of a hardware device for implementing NR in the prior art are gradually unable to meet the requirements.

The invention solves the technical problems through the following technical scheme:

in a first aspect, a method for processing channel state information is provided, which is applied to a controller of an electronic device, where the electronic device further includes a memory; the processing method comprises the following steps:

receiving channel state information sent by a base station, wherein the channel state information comprises at least two resources;

calculating a channel state parameter corresponding to a target resource in the at least two resources according to the target resource and a historical channel state parameter acquired from the memory; wherein the historical channel state parameter is a channel state parameter calculated from one or some of the at least two resources and migrated from the controller to the memory.

Optionally, the processing method further includes:

storing the channel state parameters of the target resources to the memory, and establishing the corresponding relation between the channel state parameters and the memory addresses of the memory; wherein the corresponding relation is used for the controller to obtain the historical channel state parameters required by processing the target resource from the memory.

Optionally, the channel state parameter comprises a sub-band channel state parameter;

storing channel state parameters of the target resource to the memory, including:

performing sub-band filtering processing and broadband filtering processing on the target resource;

selecting a target sub-band result corresponding to the optimal rank indicator from the result of each sub-band filtering processing according to the result of the broadband filtering processing;

and calculating the sub-band channel state parameters according to the target sub-band result, and storing the sub-band channel state parameters into the memory.

Optionally, the channel state parameter of the target resource includes a plurality of sub-band channel state parameters; the controller comprises a first buffer interval and a second buffer interval, wherein the first buffer interval is used for storing currently processed sub-band channel state parameters, and the second buffer interval is used for storing processed sub-band channel state parameters and historical channel state parameters acquired from the memory;

and when the processing of all the sub-band channel state parameters of the target resource is completed, all the sub-band channel state parameters in the second buffer interval are transferred to the memory.

In a second aspect, a device for processing channel state information is provided, which is applied to a controller of an electronic device, where the electronic device further includes a memory; the processing device comprises:

a receiving module, configured to receive channel state information sent by a base station, where the channel state information includes at least two resources;

a calculating module, configured to calculate a channel state parameter corresponding to a target resource of the at least two resources according to the target resource and a historical channel state parameter obtained from the memory; wherein the historical channel state parameter is a channel state parameter calculated from one or some of the at least two resources and migrated from the controller to the memory.

Optionally, the processing apparatus further comprises:

the storage module is used for storing the channel state parameters of the target resources to the memory and establishing the corresponding relation between the channel state parameters and the storage addresses of the memory; wherein the corresponding relation is used for the controller to obtain the historical channel state parameters required by processing the target resource from the memory.

the memory module includes:

the filtering unit is used for performing sub-band filtering processing and broadband filtering processing on the target resource;

a selecting unit, configured to select a target subband result corresponding to the optimal rank indicator from the results of each subband filtering process according to the result of the wideband filtering process;

and the storage unit is used for calculating the sub-band channel state parameters according to the target sub-band result and storing the sub-band channel state parameters into the memory.

the storage module is specifically configured to:

In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method of any one of the above when executing the computer program.

In a fourth aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the method of any of the above.

The positive progress effects of the invention are as follows: the historical channel state parameters calculated in one reporting period are stored in the memory instead of the controller, so that the internal storage space of the controller can be saved, the resource consumption of the controller is reduced, and the processing speed of the controller for processing other transactions is improved.

Drawings

Fig. 1 is a flowchart of a method for processing channel state information according to an exemplary embodiment of the present invention;

fig. 2 is a flow chart of CPR processing provided by an exemplary embodiment of the present invention;

fig. 3 is a schematic diagram of a second-level buffer interval structure adopted in a method for processing channel state information according to an exemplary embodiment of the present invention;

FIG. 4a is a diagram illustrating a buffer space of a controller according to an exemplary embodiment of the present invention;

FIG. 4b is a diagram illustrating a buffer space of another controller according to an exemplary embodiment of the present invention;

fig. 5 is a block diagram of a device for processing channel state information according to an exemplary embodiment of the present invention;

fig. 6 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention.

Detailed Description

The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.

In CSI measurement, a base station gNB issues CSI information to a user equipment UE, and then the user equipment UE measures each resource included in the CSI information and calculates a required CSI parameter, and reports the CSI parameter to the gNB through a PUCCH (periodic reporting)/PUSCH (aperiodic reporting), so that the gNB selects an appropriate MCS (modulation and coding scheme) for downlink data transmission and reduces a BLER (block error rate) for downlink data transmission.

The following describes a process of processing channel state information to calculate channel state parameters.

Fig. 1 is a flowchart of a processing method of channel state information according to an exemplary embodiment of the present invention, where the processing method of channel state information includes the following steps:

step 101, receiving channel state information sent by a base station.

Wherein the channel state information includes at least two resource resources. The number of resources included in the channel state information may be set according to the actual situation, for example, 8 resources are configured in one reporting period of the CSI.

Step 102, calculating a channel state parameter corresponding to a target resource according to a target resource of at least two resources and a historical channel state parameter obtained from a memory.

Wherein the channel state parameters include at least one of the following parameters: CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SSBRI (SS/PBCH Block Resource Indicator), LI (Layer Indicator), RI (Rank Indicator), and the like.

And reporting the channel state parameters through a broadband and/or a sub-band. The wideband is defined as the configured BWP (operational wideband for the UE) size, and the sub-band is defined as

A number of consecutive PRBs (physical resource blocks), and the size of the subband depends on the total number of PRBs in the BWP.

For each resource, a CPR process is initiated to calculate the corresponding channel state parameters. Fig. 2 is a flowchart of CPR processing according to an exemplary embodiment of the present invention, where each resource may be represented by a CE h matrix and an NE rn matrix, and if a corresponding channel state parameter is reported via a wideband, the resource is sequentially subjected to whitening processing, autocorrelation matrix calculation, codebook calculation, and wideband filtering processing, so as to obtain channel state parameters such as CQI, PMI, CRI, LI, RI, and the like corresponding to the wideband; for each resource, if the corresponding channel state parameter is reported through a sub-band, whitening processing, autocorrelation matrix calculation, codebook calculation and sub-band filtering processing are sequentially carried out on the resource to obtain channel state parameters such as CQI, PMI, CRI, LI and RI corresponding to each sub-band; for each resource, if the corresponding channel state parameter is reported through a broadband and a sub-band, the resource is sequentially subjected to whitening processing, autocorrelation matrix calculation, codebook calculation, sub-band filtering processing and broadband filtering processing to obtain the channel state parameters such as CQI, PMI, CRI, LI and RI corresponding to each sub-band and the broadband.

In CPR, C (CSI-RS Resource Indicator) refers to a channel quality Indicator, P (Precoding Matrix Indicator) refers to a Precoding Matrix Indicator, and R (Rank Indicator) refers to a Rank Indicator.

In the process of processing the channel state information, the resources are not processed in parallel, but processed in sequence, that is, the resources are processed in sequence to calculate the corresponding channel state parameters, and the target resource in step 102 is also the currently processed resource.

The historical channel state parameter is calculated according to one or some of the at least two resources, that is, the historical channel state parameter is calculated based on the resource which is before the target resource and belongs to the same reporting period, and the historical channel state parameter is stored in the memory instead of the controller. The historical channel state parameters include at least one of the following: CQI, PMI, CRI, SSBR, LI, RI, etc.

When the target resource is processed, the historical channel state parameters are needed to be used, so the historical channel state parameters are required to be stored. Compared with LTE (long term evolution), NR (a communication technology) provides a larger bandwidth, and the characteristics of an air interface channel are more complicated, so the data size of the channel state parameter is larger. The historical channel state parameters are stored in the memory instead of the controller, so that the internal storage space of the controller can be saved, the resource consumption of the controller is reduced, and the processing speed of the controller for processing other transactions is improved.

For example, if a reporting period of the csi includes 8 resources, which are resource a, resource b, resource c, resource d, resource e, resource f, resource g, and resource h, the 8 resources are sequentially processed. Assuming that the currently processed resource is resource d (target resource), the channel state parameters corresponding to resource a, resource b, and resource c are calculated and stored in the memory as historical channel state parameters, and the calculation results of resource a, resource b, and resource c are needed when resource d is processed, the historical channel state parameters corresponding to resource a, resource b, and resource c are obtained from the memory, and the channel state parameter corresponding to resource d is calculated.

Assuming that the storage space occupied by the channel state parameters corresponding to one resource is 1770 × 12, and the storage space occupied by the historical channel state parameters corresponding to 8 resources is 1770 × 12 × 8, storing the historical channel state parameters in a memory, rather than the controller, can save resources of a RAM (random access memory) in 1770 × 12 × 8 for the controller.

In an embodiment, the storage space occupied by the channel state parameters of the sub-band is obviously larger than the storage space occupied by the channel state parameters of the wideband, the storage space occupied by the channel state parameters of the sub-band is, for example, 1672 × 12, and the storage space occupied by the channel state parameters of the wideband is, for example, 98 × 12. Because the storage space occupied by the channel state parameters of the broadband is less, even if the channel state parameters of the broadband are stored in the controller, the storage space is not occupied too much, but the controller can conveniently acquire the channel state parameters of the broadband at any time.

In one embodiment, after the channel state parameter of the target resource is calculated, the channel state parameter of the target resource is also stored in the memory as a historical channel state parameter for processing a next target resource. Or, taking 8 resources including resource a, resource b, resource c, resource d, resource e, resource f, resource g, and resource h in one reporting period as an example, if the currently processed resource is resource d (target resource), the next target resource is resource e. When processing resource e, the channel state parameter of resource d is used as the data base for processing resource e.

When the processing of all resources is completed, the memory stores the channel state parameters corresponding to all resources, and all channel state parameters can be reported to the gNB.

In one embodiment, a correspondence relationship between the channel state parameters stored in the memory and the memory addresses is also established, and the correspondence relationship is used as an index of the resources, so that the controller can obtain historical channel state parameters required by processing the target resources from the memory.

In one embodiment, for each resource, a subband filtering process is performed, and if a plurality of subband filtering process results are obtained, a target subband result corresponding to the optimal rank indicator RI is selected from the subband filtering process results according to a result of a wideband filtering process, and a subband channel state parameter calculated according to the target subband result is stored in the memory. The sub-band channel state parameters obtained by calculating the target sub-band result, namely the optimal sub-band channel state parameters in the reporting period, are stored in the memory, so that the subsequent sub-band channel state parameters are obtained by calculating based on the optimal sub-band channel state parameters, the accuracy of the subsequently calculated sub-band channel state parameters can be ensured, and the sub-band channel state parameters reported to the base station can be ensured to be optimal. The optimal rank indicator RI, i.e. the RI whose corresponding wideband filtering MI has the maximum value, is, for example, 4 RIs, i.e. RI0, RI1, RI2 and RI3, respectively, and if the MI of RI0 has the maximum value, RI0 is considered to be optimal.

In one embodiment, a second level buffer interval is set in the controller, which is a first buffer interval and a second buffer interval respectively. The subband filtering processing of each resource is performed according to a secondary buffer interval structure shown in fig. 3, the subband filtering data (channel state parameters) of the target resource is stored in the first buffer interval, the historical channel state parameters of at most 8 resources in the current reporting period are stored in the memory, and according to the index of the resource, the controller sends a read-write request to the memory in real time so as to interact with an external memory through a bus, thereby realizing the functions of reading and storing the historical channel state parameters. In fig. 3, "19" in 19 × 13 × 63bit indicates that the processing of all RIs of up to 19 subbands can be sequentially performed; "13" indicates that 13 lines are temporarily used according to 63 bits per line because of the number of all MI in one sub-band; "63bit" means 9 bits per MI, 7 MI's in a row, requiring a total of 63 bits.

If the resource (target resource) currently processed does not need to perform subband filtering processing, the result of subband filtering is input data of subband filtering, the result of subband filtering is written into a first buffer interval according to the number, the first buffer interval can be, for example, a 288bit buffer interval, and when all the RIs of subband filtering are completely processed, the data in the first-level buffer interval is started to be transferred to a second buffer interval; the steps are circulated until all RI of the sub-band of the target resource is completely executed; then, the processing of all RIs of a plurality of subbands, up to 19 (the value is merely an example, and this is not particularly limited by the embodiment of the present invention), is sequentially performed according to the above flow. Once the processing of all the sub-bands is finished, the channel state parameters corresponding to all the sub-bands are migrated to the second buffer interval, the controller initiates a read-write request to the memory, and finally stores all the data in the second buffer interval in a corresponding address interval in the controller through buses of different levels, such as an AXI (one bus protocol) bus, and the data are used as historical data of resource to be processed next.

If the currently processed resource needs to perform subband filtering, the controller initiates a read-write request to read the historical channel state parameters of all subbands corresponding to the currently processed resource from the memory to the second buffer interval at one time. And after the filtering processing of the current sub-band is finished, starting a data writing process from the data in the first buffer interval to the second buffer interval and then to the memory, wherein the operation process of the data is not consistent with the filtering of the sub-band, and the specific implementation process is not repeated here.

Therefore, the processing speed can be improved by setting the second-level buffer interval to process the read-write process of the data of the memory.

In one embodiment, the data in the first buffer interval and the second buffer interval is also compacted.

The second buffer interval stores channel state parameters of all sub-bands of the current resource, the arrangement of each sub-band in the second buffer interval is shown in fig. 4a, for the first buffer interval, a 288-bit register is adopted, and according to a certain counting rule, the sub-band filtering result data of 9 bits each time of RI is sequentially stored, and each square in the figure represents 9 bits.

In order to save bandwidth and resource consumption, the data is compacted according to different RI storage schemes of different colors (represented by different fills) in fig. 4a, so when data interoperation is performed between the second buffer interval and the first buffer interval, data concatenation and historical data retention processing need to be performed between different RIs as shown in the figure, and meanwhile, in order to simplify the operation logic, 0 filling processing is performed on the high 27 bits of the last address of the sub-band. The so-called compaction process is to find other RIs to splice with if the space occupied by one RI does not meet a space threshold (e.g., 8 bit).

After the subband and wideband filtering of each resource is finished, the final processing result of each CPR subband is transferred to the memory, and the controller can obtain all subband and wideband result values (channel state parameters) from the memory for further analysis when necessary.

Similarly, for the purpose of bandwidth and overall power consumption, the reported data needs to be compacted as much as possible, and for the reported CQI, the optimal sequence number I2, and the optimal subband filtering result value are compacted according to the 32-bit compacting process of fig. 4b, and similarly, the partial filling process is insufficient. These spliced data are finally written into the memory through the 64-bit axi bus.

In one embodiment, the controller may be, for example, a CPU (Central processing Unit).

In one embodiment, the memory may be, for example, DDR (double data rate synchronous dynamic random access memory), eMMC (embedded memory), or the like. The DDR is used as the memory, so that internal storage resources of the controller can be saved, and the channel state parameters can still be read conveniently after the controller is powered off.

Since the subband filtering processing of each resource uses the historical subband filtering result, the historical subband filtering result needs to be stored. In the embodiment of the present invention, the historical channel state parameters are stored in the memory instead of the controller, so that the memory space in the controller can be saved, the resource consumption of the controller can be reduced, and the processing speed of the controller for processing other transactions can be increased.

Corresponding to the foregoing embodiment of the processing method of the channel state channel, the present invention further provides an embodiment of a processing apparatus of the channel state channel.

Fig. 5 is a block diagram of a processing apparatus for channel state information according to an exemplary embodiment of the present invention, the processing apparatus is applied to a controller of an electronic device, and the electronic device further includes a memory; the processing device comprises:

a receiving module 51, configured to receive channel state information sent by a base station, where the channel state information includes at least two resources;

a calculating module 52, configured to calculate a channel state parameter corresponding to a target resource of the at least two resources according to the target resource and a historical channel state parameter obtained from the memory; wherein the historical channel state parameter is a channel state parameter calculated from one or some of the at least two resources and migrated from the controller to the memory.

Optionally, the processing apparatus further comprises:

the memory module includes:

the storage module is specifically configured to:

For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.

Fig. 6 is a schematic diagram of an electronic device according to an exemplary embodiment of the present invention, and illustrates a block diagram of an exemplary electronic device 60 suitable for implementing embodiments of the present invention. The electronic device 60 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 6, the electronic device 60 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 60 may include, but are not limited to: the at least one processor 61, the at least one memory 62, and a bus 63 connecting the various system components (including the memory 62 and the processor 61).

The bus 63 includes a data bus, an address bus, and a control bus.

The memory 62 may include volatile memory, such as Random Access Memory (RAM) 621 and/or cache memory 622, and may further include Read Only Memory (ROM) 623.

The memory 62 may also include a program tool 625 (or utility tool) having a set (at least one) of program modules 624, such program modules 624 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

The processor 61 executes various functional applications and data processing, such as the methods provided by any of the above embodiments, by running a computer program stored in the memory 62.

The electronic device 60 may also communicate with one or more external devices 64 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 65. Also, the model-generating electronic device 60 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 66. As shown, network adapter 66 communicates with the other modules of model-generating electronic device 60 via bus 63. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating electronic device 60, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.

Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided in any of the above embodiments.

More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.

In a possible implementation manner, the embodiment of the present invention may also be implemented in a form of a program product, which includes program code for causing a terminal device to execute a method implementing any of the above-mentioned embodiments when the program product runs on the terminal device.

Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.

While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims

1. The processing method of the channel state information is characterized by being applied to a controller of electronic equipment, wherein the electronic equipment further comprises a memory; the processing method comprises the following steps:

receiving channel state information sent by a base station, wherein the channel state information comprises at least two resources, and the at least two resources belong to the same reporting period;

calculating a channel state parameter corresponding to a target resource in the at least two resources according to the target resource and a historical channel state parameter acquired from the memory; wherein the historical channel state parameter is a channel state parameter calculated according to one or some of the at least two resources and migrated from the controller to the memory, and the one or some resources are located before the target resource.

2. The method for processing channel state information according to claim 1, wherein the method further comprises:

3. The method of claim 2, wherein the channel state parameters comprise sub-band channel state parameters;

4. The method of claim 2, wherein the channel state parameter of the target resource comprises a plurality of sub-band channel state parameters; the controller comprises a first buffer interval and a second buffer interval, wherein the first buffer interval is used for storing currently processed sub-band channel state parameters, and the second buffer interval is used for storing processed sub-band channel state parameters and historical channel state parameters acquired from the memory;

5. The processing device of the channel state information is characterized by being applied to a controller of an electronic device, wherein the electronic device further comprises a memory; the processing device comprises:

a receiving module, configured to receive channel state information sent by a base station, where the channel state information includes at least two resources, and the at least two resources belong to the same reporting period;

a calculating module, configured to calculate a channel state parameter corresponding to a target resource of the at least two resources according to the target resource and a historical channel state parameter obtained from the memory; wherein the historical channel state parameter is a channel state parameter calculated according to one or some of the at least two resources and migrated from the controller to the memory, and the one or some resources are located before the target resource.

6. The apparatus for processing channel state information according to claim 5, wherein the apparatus for processing channel state information further comprises:

7. The apparatus for processing channel state information according to claim 6, wherein the channel state parameters comprise sub-band channel state parameters;

the memory module includes:

8. The apparatus for processing channel state information according to claim 6, wherein the channel state parameter of the target resource comprises a plurality of sub-band channel state parameters; the controller comprises a first buffer interval and a second buffer interval, wherein the first buffer interval is used for storing currently processed sub-band channel state parameters, and the second buffer interval is used for storing processed sub-band channel state parameters and historical channel state parameters acquired from the memory;

the storage module is specifically configured to:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 4.