WO2022227061A1

WO2022227061A1 - Resource configuration method and related device

Info

Publication number: WO2022227061A1
Application number: PCT/CN2021/091667
Authority: WO
Inventors: 姜伟鹏; 白铂; 曾思南; 张慧敏
Original assignee: 华为技术有限公司
Priority date: 2021-04-30
Filing date: 2021-04-30
Publication date: 2022-11-03
Also published as: CN115552960A

Abstract

The present application relates to the field of artificial intelligence (AI), and specifically relates to a resource configuration method and a related device. The method comprises: sending a channel reference signal to a UE; receiving first feedback information sent by the UE, the first feedback information comprising CQI of M sub-bands, and the CQI of the M sub-bands being obtained by the UE performing channel estimation on the basis of the channel reference signal; on the basis of the CQI of the M sub-bands, determining an MCS of the M sub-bands; on the basis of the MCS of the M sub-bands and the transmission demand capacity of the UE, determining a target resource block RB and a target MCS; and sending the target RB and the target MCS to the UE.

Description

Resource allocation method and related equipment

technical field

The present application relates to the field of communications, and in particular, to a resource configuration method and related equipment.

Background technique

Due to its own characteristics, wireless communication transmission links have never been highly reliable transmission properties, and most of the supported services are "best effort". The current reliability design of traditional wireless links is mainly for enhanced mobile broadband (eMBB). ) service, reaching a 90% one-time transmission accuracy rate, and correcting errors by retransmitting the incremental redundancy version after a mistransmission occurs.

5G vertical industries put forward higher requirements on reliability. For example, power line communication (PLC) control signaling in power grid/port and other scenarios requires 99.99%-99.999% reliability goals and 10ms-20ms delay requirements. , the correct rate of 1 transmission needs to be improved. Currently, 99.99% transmission accuracy can be achieved mainly through resource redundancy (modulation and coding scheme (MCS) needs to be reduced by 7-9 orders on average), but the capacity sacrifice is 10X, which is equivalent to 10 In exchange for one eMBB user for one ultra-reliable low-latency communication (URLLC) user, the equivalent signal-to-noise ratio loss means a significant reduction in effective coverage.

In the existing 5G standards, in terms of reliability enhancement, R15 supports the packet data convergence protocol (PDCP) layer diversity transmission of two branches, that is, the data packets are copied at the PDCP layer, and then passed through the two branches. The method of transmitting the same data on the wireless link can resist the influence of the deterioration of the wireless environment and ensure the reliability of the communication link. In order to further enhance reliability, R16 released in 2020 has enhanced the PDCP replication mechanism, supporting up to 4-way replication data transmission, and enhancing the control of activating/deactivating PDCP replication. This method of improving transmission reliability by means of repeated coding of data further causes the loss of system capacity. This method obtains the same benefits, but is more expensive than adjusting MCS.

Compared with traditional mobile broadband data services, some scenarios of URLLC in 5G require high reliability and low latency. In order to meet this requirement, the existing technology adopts MCS that greatly reduces the transmission data, which greatly reduces the overall transmission capacity. Therefore, how to meet the requirements of high reliability and low latency at a small capacity loss cost is an urgent problem to be solved in scenarios such as URLLC.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a resource configuration method and related equipment, which can meet the requirements of high reliability and low latency at a small capacity loss cost.

In a first aspect, an embodiment of the present application provides a resource configuration method, including:

The channel reference signal sent to the user equipment; the first feedback information sent by the user equipment is received, the first feedback information includes channel quality indication (CQI) of M subbands, and the CQI of the M subbands is the channel-based CQI of the user equipment. The reference signal is obtained by performing channel estimation, and M is an integer greater than 1; the first MCS of the M subbands is determined based on the CQIs of the M subbands; the target resource block ( resource block, RB) and target MCS; send the target RB and target MCS to the user equipment through the downlink control channel, allocate the target RB to the user equipment, and use the target RB and the target MCS to perform data transmission with the user equipment.

The M subbands are frequency bands used for data transmission between the base station and the user equipment.

It should be pointed out here that the channel in the above channel estimation refers to the channel between the base station and the user equipment.

Optionally, the channel reference signal may be a channel state information-reference signal (channel state information-reference signal, CSI-RS), a demodulation-reference signal (demodulation-reference signal, DM-RS), a phase tracking reference signal (phase tracking- reference signal, PT-RS) or other signals.

It should be pointed out here that the target RB sent by the base station to the user equipment is specifically the number of the RB, and the target MCS is the value of the MCS. After the base station sends the number of the target RB and the value of the target MCS to the user equipment through the downlink control channel, the base station allocates the target RB to the user equipment, and uses the target MCS on the target RB to send the data to be transmitted this time to the user equipment.

In a feasible embodiment, determining the first MCS of the M subbands based on the CQIs of the M subbands includes:

The first MCSs of the M subbands are determined from the first CQI-MCS mapping table based on the CQIs of the M subbands. Wherein, the block error rate corresponding to the first CQI-MCS mapping table can meet the requirement of the user equipment for the block error rate. The block error rate corresponding to the first CQI-MCS mapping table may be referred to as the first block error rate.

Determine the MCS of the multiple subbands from the CQI-MCS mapping table corresponding to the first block error rate based on the CQI of the multiple subbands, and configure the RB and the user equipment based on the MCS of the multiple subbands and the transmission demand capacity of the user equipment. The MCS makes it possible to configure a higher MCS for the user equipment on the basis of meeting the transmission requirements of the user equipment, so as to meet the requirements of high reliability and low delay at the cost of smaller capacity loss.

In a feasible embodiment, the target RB and the target MCS are determined based on the first MCS of the M subband and the transmission demand capacity of the user equipment, including:

The capacity of each of the M subbands is determined based on the first MCS of the M subbands; based on the transmission demand capacity of the user equipment and the capacity of the M subbands, K subbands are determined from the M subbands, and the capacity of the K subbands is Among the capacities of the M subbands, the capacities of the top K subbands are sorted in descending order, and the product of the smallest capacity and K among the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; K is greater than 0 and an integer not greater than M; wherein, the target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.

In the prior art, the MCS configured for the user equipment is limited by the smallest MCS among the MCSs of multiple subbands, so that the total transmission capacity of the multiple subbands is limited by the smallest transmission capacity among the transmission capacities of the multiple subbands; In this embodiment, by sorting the capacities of multiple subbands, the K subbands in the top order are selected, wherein the product of the minimum capacity of the K subbands and K is not less than the transmission capacity of the user equipment, and the K subbands corresponding to the The time-frequency resources and the MCS corresponding to the subband with the smallest transmission capacity in the K subbands are configured to the user equipment. Compared with the prior art, on the basis of satisfying the transmission requirements of the user equipment, a higher MCS can be configured for the user equipment, thereby It can meet the requirements of high reliability and low delay at the cost of small capacity loss.

In a feasible embodiment, among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is less than the transmission demand capacity of the user equipment, And the product of the smallest capacity and K among the capacities of the top K subbands is not less than the transmission demand capacity of the user equipment. Compared with the prior art, the present embodiment can configure a higher MCS for the user equipment on the basis of satisfying the transmission requirements of the user equipment, so as to meet the requirements of high reliability and low delay at the cost of smaller capacity loss.

In a feasible embodiment, if the first block error rate is higher than the preset block error rate, the method of the present application further includes:

Obtain a transmission prediction result, where the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; if it is determined based on the transmission prediction result that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment The probability of receiving is not greater than the preset probability, and determining the first MCS of the M subbands based on the CQIs of the M subbands includes: determining the M subbands from the CQI-MCS mapping table corresponding to the second block error rate based on the CQIs of the M subbands The first MCS of the band, wherein the second block error rate is lower than the first block error rate.

If it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability, the CQI-MCS mapping table corresponding to the first block error rate is determined based on the CQI of the M subbands. the first MCS of the M subbands.

By introducing the transmission prediction result and selecting an appropriate MCS-CQI mapping table based on the transmission prediction result, the user equipment can be configured to meet the reliable transmission requirements of the user equipment, and a larger MCS can satisfy the transmission data with lower redundancy high reliability requirements.

In a feasible embodiment, the first feedback information further includes the transmission prediction result, or,

The first feedback information also includes signal-to-noise ratio (signal-to-noise ratio, SNR)/signal-to-interference plus noise ratio (signal to interference plus noise ratio, SINR) information of the time-frequency resources used by the user equipment, and obtains the transmission prediction result, including:

Input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; wherein, the time-frequency resources used by the user equipment include multiple resource elements (resource elements, REs), and the SNR/ The SINR information includes SNR/SINR of multiple REs.

In a feasible embodiment, the transmission prediction result includes a probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment,

or the first identification bit, wherein, when the value of the first flag bit is the first value, the first flag bit indicates that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability; when When the value of the first flag bit is the second value, the first flag bit indicates that when the subsequent base station sends data to the user equipment, the probability that the data is correctly received by the user equipment is not greater than the preset probability.

By introducing the first flag bit of 1 bit, and based on the different values of the first flag bit, it indicates the relationship between the probability that the data is correctly received by the user equipment and the preset probability when the subsequent base station sends data to the user equipment. When transmitting the information here , which can reduce the transmission resource overhead.

In a second aspect, the embodiments of the present application provide another resource configuration method, including:

Send a channel reference signal to the user equipment; receive second feedback information sent by the user equipment, where the second feedback information includes a wideband CQI obtained by the user equipment through channel estimation based on the channel reference signal; the wideband-based CQI and transmission The prediction result determines the MCS of the broadband, and the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; the MCS based on the broadband determines the target MCS, and the RB corresponding to the broadband determines the target RB; The target RB and the target MCS are sent to the user equipment through the downlink control channel, and the target RB and the target MCS are used for data transmission with the user equipment.

The broadband is a frequency band used for data transmission between the base station and the user equipment.

By introducing the transmission prediction result and selecting an appropriate MCS-CQI mapping table based on the transmission prediction result, the user equipment can be configured to meet the reliable transmission requirements, and a larger MCS can satisfy the high reliability of the data with lower redundancy. demand.

In a feasible embodiment, the broadband MCS is determined based on the broadband CQI and the transmission prediction result, including:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability, the broadband-based CQI is determined from the CQI-MCS mapping table corresponding to the third block error rate. When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is not greater than the preset probability, the broadband-based CQI is determined from the CQI-MCS mapping table corresponding to the fourth block error rate The MCS of the wideband is determined in ; wherein, the third block error rate is higher than the fourth block error rate.

By selecting an appropriate MCS-CQI mapping table through the transmission prediction result, the MCS that meets the reliable transmission requirement can be configured for the user equipment.

In a feasible embodiment, the wideband includes M subbands, the CQI of the wideband includes the CQI of the M subbands, M is an integer greater than 1, and the MCS of the wideband is determined based on the wideband CQI and a transmission prediction result, including:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability, determine from the CQI-MCS mapping table corresponding to the third block error rate based on the CQIs of the M subbands The MCS of M subbands is obtained, and when it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is not greater than the preset probability, the CQI based on the M subbands corresponds to the fourth block error rate. The MCSs of the M subbands are determined in the CQI-MCS mapping table of . The third block error rate is higher than the fourth block error rate.

In a feasible embodiment, the method of the present application further includes:

Determine the capacity of each subband in the M subbands based on the MCS of the M subbands; determine K subbands from the M subbands based on the transmission demand capacity of the user equipment and the capacity of the M subbands, and the capacity of the K subbands is M subbands In the capacity of the bands, the capacities of the top K subbands are sorted in descending order, and the product of the smallest capacity and K among the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; K is greater than 0 and not less than An integer greater than M; wherein, the target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.

In a feasible embodiment, among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is less than the transmission demand capacity of the user equipment, And the product of the smallest capacity and K among the capacities of the top K subbands is not less than the transmission demand capacity of the user equipment.

In the prior art, the MCS configured for the user equipment is limited by the smallest MCS among the MCSs of multiple subbands, so that the total transmission capacity of the multiple subbands is limited by the smallest transmission capacity among the transmission capacities of the multiple subbands; In this embodiment, based on the transmission prediction result, an appropriate MCS-CQI mapping table can be selected, which can meet the reliability requirements of the user equipment; by sorting the capacities of multiple subbands, the top K subbands in the ranking are selected, wherein , the product of the minimum capacity of the K subbands and K is not less than the transmission capacity of the user equipment, and the time-frequency resources corresponding to the K subbands and the MCS corresponding to the subband with the smallest transmission capacity in the K subbands are configured to the user equipment. In the prior art, on the basis of satisfying the transmission requirements of the user equipment, a higher MCS can be configured for the user equipment, so as to meet the requirements of high reliability and low delay at the cost of small capacity loss.

In a feasible embodiment, the first feedback information further includes a transmission prediction result, or the first feedback information further includes SNR/SINR information of time-frequency resources used by the user equipment, and the method of the present application further includes:

Input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; wherein the time-frequency resources used by the user equipment include multiple resource elements RE, and the SNR/SINR information includes multiple SNR/SINR of the RE.

In a feasible embodiment, the transmission prediction result includes the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment,

Or the first identification bit, wherein, when the first flag bit takes the value of the first value, the first flag bit indicates that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability; When a flag bit takes a second value, the first flag bit indicates that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is not greater than the preset probability.

In a third aspect, the embodiments of the present application further provide another resource configuration method, including:

Receive the channel reference signal sent by the base station; perform channel estimation according to the channel reference signal, and obtain feedback information; the feedback information includes the broadband CQI, which is obtained by the user equipment through channel estimation based on the channel reference signal; send the feedback information to the base station , so that the base station determines the target RB and the target MCS allocated for the user equipment based on the broadband CQI; and receives the target RB and the target MCS sent by the base station.

By feeding back the channel estimation result to the base station, the base station obtains the broadband CQI based on the channel estimation result to configure the RB and MCS for the user equipment, so that on the basis of meeting the transmission requirements of the user equipment, a higher MCS can be configured for the user equipment, so as to achieve a higher Meet the requirements of high reliability and low latency at the cost of small capacity loss.

In a feasible embodiment, the wideband includes M subbands, and the CQI of the wideband includes CQIs of the M subbands.

In a feasible embodiment, the feedback information further includes SNR/SINR information of the time-frequency resources used by the user equipment, so that the base station can obtain the transmission prediction result based on the SNR/SINR information of the time-frequency resources used by the user equipment. It represents the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; wherein, the SNR/SINR information of the time-frequency resources used by the user equipment is obtained by the user equipment through channel estimation based on the channel reference signal.

In a feasible embodiment, the feedback information further includes a transmission prediction result, where the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; the method of the present application further includes:

Input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; the SNR/SINR information of the time-frequency resources used by the user equipment is obtained by the user equipment based on the channel reference signal for channel estimation. of.

Or the first identification bit, wherein, when the first flag bit takes the value of the first value, the first flag bit indicates that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability; When a flag bit takes a second value, the first flag bit represents the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment.

In a fourth aspect, an embodiment of the present application provides a base station, where the base station includes a unit or module for executing the method of the first aspect or the second aspect.

In a fifth aspect, an embodiment of the present application provides a user equipment, where the user equipment includes a unit or a module for executing the protection method of the third aspect.

In a sixth aspect, an embodiment of the present application provides a base station, including a processor and a memory, wherein the processor is connected to the memory, wherein the memory is used to store program codes, and the processor is used to call the program codes to execute the first aspect or the first aspect. Part or all of the two methods.

In a seventh aspect, an embodiment of the present application provides a base station, including a processor and a memory, wherein the processor is connected to the memory, wherein the memory is used for storing program codes, and the processor is used for calling the program codes to execute the first aspect or the first aspect. Part or all of the two methods.

In an eighth aspect, an embodiment of the present application provides a chip system, which is applied to an electronic device; the chip system includes one or more interface circuits, and one or more processors; the interface circuit and the processor are interconnected through lines; The circuit is for receiving signals from the memory of the electronic device and sending signals to the processor, the signals comprising computer instructions stored in the memory; when the processor executes the computer instructions, the electronic device performs the first aspect or the second aspect or the third aspect the method described.

In a ninth aspect, an embodiment of the present application provides a computer storage medium, where the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method described in the first aspect or the second aspect or the third aspect .

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings that are required to be used in the description of the embodiments or the prior art.

1 is a schematic diagram of an application scenario provided by an embodiment of the present application;

FIG. 2 is a schematic diagram of a system provided by an embodiment of the present application;

FIG. 3 is a flowchart of a resource configuration method provided by an embodiment of the present application;

FIG. 4 is a schematic diagram of a typical arrangement of channel reference symbols according to an embodiment of the present application;

5 is a schematic diagram of a prediction model provided by an embodiment of the present application;

6 is a flowchart of another resource configuration method provided by an embodiment of the present application;

FIG. 7 is a flowchart of another resource configuration method provided by an embodiment of the present application;

FIG. 8 is an interactive flowchart of a resource configuration method provided by an embodiment of the present application;

FIG. 9 is an interactive flowchart of another resource configuration method provided by an embodiment of the present application;

FIG. 10 is a schematic structural diagram of a base station according to an embodiment of the application;

FIG. 11 is a schematic structural diagram of another base station provided by an embodiment of the application;

FIG. 12 is a schematic structural diagram of a user equipment according to an embodiment of the present application;

FIG. 13 is a schematic structural diagram of another base station provided by an embodiment of the present application;

FIG. 14 is a schematic structural diagram of another user equipment provided by an embodiment of the present application.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.

Referring to FIG. 1 , FIG. 1 is a schematic diagram of an application scenario provided by an embodiment of the present application. As shown in FIG. 1 , the application scenario includes a user equipment 101 and a base station 102; optionally, a server 103;

Among them, user equipment (user equipment, UE) 101, that is, a device that provides voice and/or data connectivity to a user, may also be a handheld device or a vehicle-mounted device with a wireless connection function. Common terminal devices include: mobile phones, tablet computers, notebook computers, PDAs, mobile internet devices (MIDs), IoT devices, wearable devices (for example, smart watches, smart bracelets, pedometers), etc. ;

The base station 102 may be a macro base station, a micro base station, a pico base station, a distributed base station, or other types of base stations;

Server 103 is a device that can be used for data storage and processing.

Before the user equipment 101 sends data to the base station 102, the base station 102 needs to configure resources for the user equipment 101; the base station 102 sends a channel reference signal to the user equipment 101, and the user equipment performs channel estimation based on the channel reference signal, and based on the channel estimation result to the base station 102 Sending CQI feedback information, the base station 102 determines the RB and MCS configured for the user equipment 101 based on the CQI feedback information, optionally, the base station determines the RB and MCS configured for the user equipment 101 based on the CQI feedback information and the transmission prediction result, wherein, The prediction result is used to indicate the probability that the data is correctly sent when the user equipment sends data to the base station; the RB and MCS are sent to the user equipment 101, so that the user equipment 101 uses the RB and MCS to send data to the base station 102.

Optionally, the above prediction result may be determined by the user equipment 101 based on the channel estimation result and the transmission prediction model, or may be determined by the base station 102 based on the channel estimation result and the transmission prediction model; wherein, the transmission prediction model is the user equipment 101 or the base station. 102 is obtained from the server 103, and before this, the transmission prediction model obtained by the server 103 training. Optionally, the transmission prediction model is obtained by training the user equipment 101 or the base station 102 .

Referring to FIG. 2 , an embodiment of the present invention provides a system architecture 200 . The data collection device 260 is used to collect training data and store it in the database 230 , wherein the training data includes time-frequency resource information and actual transmission results used by the user equipment 240 , and the training device 220 generates a transmission prediction model based on the training data maintained in the database 230 201. The following will describe in more detail how the training device 220 obtains the transmission prediction model 201 based on the training data. The transmission prediction model 201 can obtain a prediction result representing the probability that the data is sent correctly when the user equipment 240 sends data to the base station. Subsequent base stations may Resources are configured for the user equipment based on the prediction result.

The work of each layer in a deep neural network can be expressed mathematically

To describe: from the physical level, the work of each layer in the deep neural network can be understood as completing the transformation from the input space to the output space (that is, the row space of the matrix to the column through five operations on the input space (set of input vectors). Space), these five operations include: 1. Dimension raising/lowering; 2. Enlarging/reducing; 3. Rotation; 4. Translation; 5. "Bending". Among them, the operations of 1, 2, and 3 are determined by

done, the operation of 4 consists of

Completed, the operation of 5 is implemented by a(). The reason why the word "space" is used here is because the object to be classified is not a single thing, but a type of thing, and space refers to the collection of all individuals of this type of thing. Among them, W is the weight vector, and each value in the vector represents the weight value of a neuron in the neural network of this layer. This vector W determines the space transformation from the input space to the output space described above, that is, the weight W of each layer controls how the space is transformed. The purpose of training the deep neural network is to finally obtain the weight matrix of all layers of the trained neural network (the weight matrix formed by the vectors W of many layers). Therefore, the training process of the neural network is essentially learning the way to control the spatial transformation, and more specifically, learning the weight matrix.

Because it is hoped that the output of the deep neural network is as close as possible to the value you really want to predict, you can compare the predicted value of the current network with the target value you really want, and then update each layer of neural network according to the difference between the two. The weight vector of the network (of course, there is usually an initialization process before the first update, that is, the parameters are pre-configured for each layer in the deep neural network), for example, if the predicted value of the network is high, adjust the weight vector to make it Predict lower and keep adjusting until the neural network can predict the actual desired target value. Therefore, it is necessary to pre-define "how to compare the difference between the predicted value and the target value", which is the loss function (loss function) or objective function (objective function), which are used to measure the difference between the predicted value and the target value. important equation. Among them, taking the loss function as an example, the higher the output value of the loss function (loss), the greater the difference, then the training of the deep neural network becomes the process of reducing the loss as much as possible.

The transmission prediction model 201 obtained by training the device 220 can be applied in different systems or devices. In FIG. 2 , the execution device 210 is configured with an I/O interface 212 for data interaction with external devices, and a “user” can input data to the I/O interface 212 through the user device 240 .

The execution device 210 can call data, codes, etc. in the data storage system 250 , and can also store data, instructions, etc. in the data storage system 250 .

The calculation module 211 uses the transmission prediction model 201 to process the input data, wherein the input data includes the SNR information of the time-frequency resources used by the user equipment 240. The SNR information of the frequency resource is processed to obtain a transmission prediction result; the subsequent base station configures resources for the user equipment 240 based on the transmission prediction result, and obtains the resource configuration result. The step of "using the transmission prediction model 201 to process the SNR information of the time-frequency resources used by the user equipment 240 to obtain the transmission prediction result" may be performed by the user equipment 240 or by the base station, that is to say, The computing module 211 may be located in the user equipment 240, or may be located in the base station as shown in FIG. 2 . The execution device 210 described in FIG. 2 can be regarded as a base station.

Finally, the I/O interface 212 returns the resource configuration result to the user equipment 240 and provides it to the user.

In the case shown in FIG. 2 , the user can manually specify data in the input execution device 210 , eg, operate in the interface provided by the I/O interface 212 . In another case, the user equipment 240 can automatically input data to the I/O interface 212 and obtain the result. If the user equipment 240 needs to obtain authorization from the user for automatically inputting data, the user can set corresponding permissions in the user equipment 240 . The user can view the result output by the execution device 210 on the user device 240, and the specific presentation form can be a specific manner such as display, sound, and action. The user equipment 240 can also act as a data collection terminal to store the collected time-frequency resource information and the real prediction results used by the user equipment into the database 230 .

It should be noted that FIG. 2 is only a schematic diagram of a system architecture provided by an embodiment of the present invention, and the positional relationship between the devices, devices, modules, etc. shown in the figure does not constitute any limitation. For example, in FIG. 2 , The data storage system 250 is an external memory relative to the execution device 210 , and in other cases, the data storage system 250 may also be placed in the execution device 210 .

Embodiments of the present application will be described in detail below.

Referring first to FIG. 3 , FIG. 3 is a schematic flowchart of a resource configuration method provided by an embodiment of the present application. As shown in Figure 3, the method includes:

S301. A base station sends a channel reference signal to a user equipment.

Optionally, the channel reference signal may be a channel state information-reference signal (channelstate information-reference signal, CSI-RS), a demodulation-reference signal (demodulation-reference signal, DM-RS), a phase tracking reference signal (phase tracking) -reference signal, PT-RS), etc.

In an example, the base station sends the data to be transmitted this time to the user equipment based on the previously determined RB and MCS.

In an example, before the base station sends the channel reference signal to the user equipment, the base station sends configuration information to the user equipment, where the configuration information includes channel quality indication (channel quality indication, CQI) feedback mode information, where the CQI feedback mode information is used for Indicates that the user equipment is to report the CQI type to the base station, and the CQI feedback mode information is also used to indicate that the CQI information to be fed back is the CQI information of the subband that should be reported; in addition, the configuration information also includes but is not limited to CQI feedback period, offset information , interference measurement resource information, etc.

The user equipment performs channel estimation based on channel reference signals (such as CSI-RS, etc.), which specifically includes the user equipment based on the CSI-RS configuration information (such as CSI-RS settings) included in the configuration information, identifying the number of ports used for sending CSI-RS , Send the timing and resource position of each CSI-RS, part or all of the sequence signal and power control information to perform channel estimation to obtain SNR/SINR; .1-3, Table 5.2.2.1-4 set the CQI value corresponding to the modulation method, code rate, transmission block length, based on simulation or measurement to obtain the relationship between the block error rate and SNR/SINR and MCS curve, Under the requirement of meeting the target block error rate (0.1 or 0.00001), the mapping relationship between CQI and SNR/SINR is obtained. In this way, CQIs of M subbands can be obtained.

Among them, the MCS index table under a transmission configuration in 3GPP TS-38.214 is configured as shown in Table 1 (Table 5.1.3.1-1: MCS index table 1 for PDSCH), which indicates the modulation method and code rate used for transmission.

Table 1

S302. The base station receives the first feedback information sent by the user equipment.

The above-mentioned first feedback information includes CQIs of M subbands, and the CQIs of the M subbands are obtained based on the channel estimation performed by the user equipment based on the channel reference signal. For the specific process, refer to the relevant description of S301, where M is an integer greater than 1. The M subbands are frequency bands used for data transmission between the base station and the user equipment.

It should be pointed out that the CQI of the M subbands included in the first feedback information may specifically be the CQI itself, or may be the CQI index.

S303. The base station determines the first MCS of the M subbands based on the CQIs of the M subbands.

Specifically, the base station determines the second MCS of the M subbands from the CQI-MCS mapping table corresponding to the first block error rate based on the CQI or the CQI index of the M subbands, and the second MCS of the M subbands is the above-mentioned M subbands The first MCS.

Optionally, the first block error rate may be 0.1, 0.01, 0.001, 0.0001 or other values. Wherein, the first block error rate can meet the requirement of the user equipment for the block error rate.

The CQI-MCS mapping table corresponding to the block error rate of 0.1 may be shown in Table 2 below, or shown in Table 3 below:

Table 2

table 3

Optionally, if the first block error rate is higher than the preset block error rate, the method of this embodiment further includes:

The base station obtains the transmission prediction result, and the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; if it is determined based on the transmission prediction result that the data is received by the user equipment when the subsequent base station sends data to the user equipment The probability of correct reception is greater than the preset probability, then the second MCS of the M subbands is the first MCS of the M subbands; if it is determined based on the transmission prediction result that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment. The probability is not greater than the preset probability, then the third MCS of the M subbands is determined from the CQI-MCS mapping table corresponding to the second block error rate based on the CQI or CQI index of the M subbands, and the third MCS of the M subbands is In the first MCS of the M subbands, the second block error rate is lower than the first block error rate, and the second MCS is lower than the third MCS.

The preset probability may be a preset number, which may be set according to the system's requirement for the success rate of data transmission, or the type of the current business department, or the scenario of network usage. (For example, the Industrial Internet of Things (Internet of Things, IoT) requires a higher one-time transmission success rate, in which case the preset probability can be set to 0.99999, and for example, the single-time transmission success rate of video transmission is not less than 0.9. Set the preset probability to 0.9). A typical preset probability is 0.9.

When it is determined based on the transmission prediction result that when the subsequent base station sends data to the user equipment, the probability that the data is correctly received by the user equipment is greater than the preset probability, indicating that the quality of the channel is good. Therefore, MCS with a high block error rate can be used for data transmission, which can improve the transmission rate. When it is determined based on the transmission prediction result that when the subsequent base station sends data to the user equipment, the probability that the data is correctly received by the user equipment is not greater than the preset probability, indicating that the quality of the channel is poor, so the MCS with low block error rate is used for data transmission. , which can improve the accuracy of data transmission and improve the anti-interference ability.

Optionally, the second block error rate may be 0.01, 0.001, 0.0001, 0.00001 or other values.

Among them, the CQI-MCS mapping table corresponding to the block error rate of 0.00001 can be shown in Table 4 below:

Table 4

Optionally, the transmission prediction result may be carried in the first feedback information, or may be obtained by the base station based on the SNR/SINR of the time-frequency resources used by the user equipment and the transmission prediction model carried in the first feedback information.

In an optional embodiment, the base station obtains the transmission prediction model by training based on the training data, or obtains the transmission prediction model from other training devices (such as the server 103 in FIG. 1 ).

The training of the transmission prediction model can be performed offline. By collecting relevant data in advance, the parameters of the transmission prediction model are obtained by training and stored on the user equipment/base station. The specific training process can be carried out on the training device or completed on the base station.

The training data includes the SNR/SINR samples of the time-frequency resources used by the user equipment and the known transmission results, wherein the known transmission results include the user equipment receiving correctly or the user equipment receiving errors; Errors are represented by 0.

The user equipment can obtain the SNR of the time-frequency resources used by the user equipment by performing channel estimation, wherein the time-frequency resources used by the user equipment include multiple REs, and the SNR of the time-frequency resources includes the SNRs of multiple REs, in the form of a two-dimensional matrix, denoted as X, the dimension of the two-dimensional matrix is the number of symbols in the time domain * the number of subcarriers in the frequency domain; then average SNR based on the SNR of multiple REs; then determine the average SNR based on the average SNR and the SNR-CQI mapping table The corresponding CQI, and the CQI is fed back to the base station; the base station determines the MCS corresponding to the CQI according to the CQI-MCS mapping table corresponding to the CQI and the default block error rate, wherein the default block error rate is 0.1; and based on the MCS and the user The RB corresponding to the time-frequency resource used by the device sends data (or frames) to the user equipment; the user equipment records the corresponding output tag Y based on whether the subsequent data is correctly received. If the data is correctly received by the user equipment, the output tag is 1 ; If the data is incorrectly received by the user equipment, the output tag is 0; the output tag is the known transmission result above.

The training data can be obtained in the above manner; after the training data is obtained, the training can be carried out as follows:

A neural network (eg, a convolutional neural network) or other classifier is trained based on the above input data X and output labels Y to obtain a transmission prediction model.

Fig. 4 shows a typical arrangement of channel reference symbols, in which, each gray square in Fig. 4 represents the SNR of one RE, and it can be seen that one RB includes 12 REs; As shown in Figure 5 below, for a single RB, the dimension of X is 12*1, which is activated by the sigmoid function after linear weighting, and then the outputs of all RBs are input to the second layer, which is linearly weighted and then activated to obtain the transmission prediction result.

In the process of weight calculation, the cross entropy loss function can be used, and then the Adam algorithm can be used to optimize the solution, so as to obtain the network parameters, that is, the parameters of the transmission prediction model.

The cross-entropy loss function is often used for classification. In the case of binary classification, there is only one result that the model needs to predict at the end: the probability that the data is correctly received by the user equipment.

The cross entropy loss function can be expressed as:

Among them, _yi represents the output label corresponding to data i, which can be 0 or 1; pi represents the probability that the predicted data _i is correctly received by the user equipment; 1-pi represents the probability that the predicted data _i is incorrectly received by the user equipment.

It should be pointed out here that the above process is an offline training process, which is performed in a training device (such as the server 103 in FIG. 1 ), and can also be completed on a base station.

The following describes the online training process:

The user equipment downloads the trained transmission prediction model from the training equipment (such as the server 103 shown in FIG. 1 ); the user equipment performs channel estimation to obtain the SNR of the time-frequency resources used by the user equipment, and the time-frequency resources used by the user equipment The resource includes multiple REs, and the SNR of the time-frequency resource includes the SNR of multiple REs, which is in the form of a one-dimensional vector (the dimension is equal to the total number of REs), denoted as X; then average the SNRs based on the multiple REs to obtain the average SNR; Then determine the CQI corresponding to the average SNR based on the average SNR and the SNR-CQI mapping table; the user equipment inputs X into the transmission prediction model for processing, and obtains the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; if If the probability is greater than the preset probability, the label is 1; if the probability is not greater than the preset probability, the label is 0; the user equipment feeds back the CQI and label corresponding to the average SNR to the base station, where the label is fed back through 1 bit; if the label is 1, the base station obtains the MCS corresponding to the CQI from the CQI-MCS mapping table corresponding to the high block error rate based on the CQI corresponding to the average SNR; if the label is 0, the base station is based on the average SNR. Obtain the MCS corresponding to the CQI in the CQI-MCS mapping table; then send data to the user equipment based on the MCS corresponding to the CQI; the user equipment records the above X and the label used to indicate whether the user equipment correctly receives the data sent by the base station; the user equipment can The recorded data is selectively transmitted back to the training device, so that the training device further trains the transmission prediction model based on the data transmitted by the user equipment, thereby improving the accuracy of the transmission prediction model.

In an optional embodiment, the user equipment obtains the transmission prediction model from the training device (such as the server 103 in FIG. 1 ), or the user equipment performs training based on the training data to obtain the transmission prediction model; for the training process, refer to the above related descriptions. not described here.

After the user equipment estimates the channel, the SNR/SINR of the time-frequency resources used by the user equipment is obtained, and the SNR/SINR of the time-frequency resources used by the user equipment is input into the transmission prediction model for processing to obtain the transmission prediction result. The transmission prediction result is carried on the first feedback information and transmitted to the base station.

Among them, there are two forms of transmission prediction results:

The probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment, or;

The first flag bit, where, when the value of the first flag bit is a first value (such as 1 or true), the first flag bit indicates that when the subsequent base station sends data to the user equipment, the probability that the data is correctly received by the user equipment is greater than Preset probability; when the value of the first flag bit is a second value (such as 0 or false), the first flag bit indicates that when the subsequent base station sends data to the user equipment, the probability that the data is correctly received by the user equipment is not greater than the preset probability probability.

When the first flag bit is used to indicate whether the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability, 1 bit in the first feedback message is used to carry the value of the first flag bit , so that the transmission prediction result is transmitted to the base station in this way.

S304. The base station determines the target RB and the target MCS based on the first MCS of the M subbands and the transmission demand capacity of the user equipment.

In an optional embodiment, the target RB and the target MCS are determined based on the first MCS of the M subband and the transmission demand capacity of the user equipment, including:

determining the capacity of each of the M subbands based on the first MCS of the M subbands;

Based on the transmission demand capacity of the user equipment and the capacity of the M sub-bands, K sub-bands are determined from the M sub-bands. The capacity of the K sub-bands is the capacity of the M sub-bands, and the K sub-bands are sorted in descending order. The capacity of subbands, and the product of the minimum capacity and K of the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; K is an integer greater than 0 and not greater than M; where, the target RB is the time-frequency corresponding to the K subbands resource, the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.

Specifically, the base station calculates the capacity of each subband according to the MCS value of each subband in the M subbands, where the capacity of the subband is the maximum number of bits that can be transmitted by the subband, where the subband capacity is the available REs of the subband The product of the number and the efficiency corresponding to the MCS of the subbands; the base station sorts the M subband capacities in descending order to obtain the sorted subband capacities; among them, the total capacity of the K subband transmissions in the top ranking C _K =KR _K ; wherein, R _K is the capacity of the K-th sub-band ahead of the sorted sub-band capacity; the base station calculates the K value according to the transmission demand capacity C of the user equipment; wherein, the K value satisfies Condition: The total transmission capacity C _K of the top K subbands is greater than or equal to the transmission demand capacity C of the user equipment; among them, the target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the smallest capacity among the K subbands. The subband corresponding to the MCS.

Further, among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is smaller than the transmission demand capacity of the user equipment, and the top sorted Among the capacities of the K subbands, the product of the smallest capacity and K is not less than the transmission demand capacity of the user equipment; that is to say, the condition is satisfied: the total transmission capacity C _K of the K subbands in the top order is greater than or equal to the transmission demand capacity C of the user equipment , the K value is the smallest.

Specifically, based on the total transmission capacity C _K =KR _K of the top K subbands, traverse from 1 to find the smallest K value, such that C _K ≥ C, and C _K-1 <C; After the value of K, the target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the Kth subband after sorting.

S305, the base station sends the target RB and the target MCS to the user equipment in the downlink control channel, and uses the target RB and the target MCS to perform data transmission with the user equipment.

It should be pointed out here that the target RB sent by the base station to the user equipment is the number of the RB.

After the base station sends the target RB and the target MCS to the user equipment through the downlink control channel, it allocates the target RB to the user equipment, and uses the target MCS to send data to the user equipment on the target RB; after the user equipment receives the target RB and the target MCS, uses the target RB and the target MCS. The MCS receives the data sent by the base station on the target RB.

For example, it is assumed that there are 10 sub-bands, and their capacities from high to low are 10, 9, 8, . The MCS of the band, the target RB is the time-frequency resource corresponding to the top 5 subbands in the capacity order. At this time, the capacity corresponding to the 5 subbands is 5*6=30; and using the existing method, the transmission of 10 subbands The capacity is affected by the capacity of the smallest subband among the 10 subbands. At this time, the total capacity corresponding to the 10 subbands is 10*1=10. It can be seen that the total capacity determined by the solution of the present application is three times that of the prior art.

It can be seen that by sorting the capacities of multiple subbands, the top K subbands are selected, wherein the product of the minimum capacity of the K subbands and K is not less than the transmission capacity of the user equipment, and the time corresponding to the K subbands is The frequency resource and the MCS corresponding to the subband with the smallest transmission capacity among the K subbands are configured to the user equipment. Compared with the prior art, on the basis of meeting the transmission requirements of the user equipment, a higher MCS can be configured for the user equipment, thereby realizing Meet the requirements of high reliability and low latency at the cost of small capacity loss. Based on the SINR time-frequency distribution two-dimensional vector diagram (as shown in Figure 4), the transmission results can be predicted. Based on the transmission prediction results, only the transmission frames (or transmission data) with high probability of errors can be transmitted with reduced MCS, while those with low probability of errors can be transmitted with reduced MCS. Compared with the prior art, a higher MCS can be configured for the user equipment, so as to meet the requirements of high reliability and low delay at the cost of smaller capacity loss.

The essence of the high reliability challenge of URLLC is to deal with the long tail of packet loss events. In order to prevent the possible 10% or 1% block error rate, reducing the MCS of the entire transmission cycle may cause a great waste of resources. . In order to avoid such a situation, a schematic flowchart of a resource configuration method provided by an embodiment of the present application is provided. As shown in Figure 6, the method includes:

S601. A base station sends a channel reference signal to a user equipment.

S602. The base station receives second feedback information sent by the user equipment, where the second feedback information includes the broadband CQI.

It should be pointed out here that, for the specific processes of S601 and S602, reference may be made to the relevant descriptions of S301 and S302, which will not be described here.

S603. The base station determines the MCS of the wideband based on the wideband CQI and the transmission prediction result.

In an optional embodiment, the broadband MCS is determined based on the broadband CQI and the transmission prediction result, including:

Optionally, the third block error rate may be 0.1, 0.01, 0.001, 0.0001 or other values; the fourth block error rate may be 0.01, 0.001, 0.0001, 0.00001 or other values. The third block error rate and the first block error rate may be the same or different; the fourth block error rate and the second block error rate may be the same or different.

S604, the base station determines the target MCS based on the broadband MCS, and determines the target RB based on the RB corresponding to the broadband.

In an optional embodiment, the target RB is a time-frequency resource corresponding to the foregoing broadband, and the target MCS is the MCS of the foregoing broadband.

In an optional embodiment, the above-mentioned wideband includes M subbands, and the CQI of the wideband includes the CQI of the M subbands, where M is an integer greater than 1, and the base station determines the wideband MCS based on the wideband CQI and the transmission prediction result, including:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability, determine from the CQI-MCS mapping table corresponding to the third block error rate based on the CQIs of the M subbands The MCS of each subband in the M subbands is obtained. When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is not greater than the preset probability, the CQI based on the M subbands is calculated from the fourth The MCS of each of the M subbands is determined in the CQI-MCS mapping table corresponding to the block error rate; wherein, the third block error rate is higher than the fourth block error rate.

Further, the method of this embodiment also includes:

The first feedback information also includes the SNR/SINR information of the time-frequency resources used by the user equipment, and the method of this embodiment also includes:

Input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; wherein the time-frequency resources used by the user equipment include multiple REs, and the SNR/SINR information includes multiple REs. SNR/SINR of the RE.

Specifically, the user equipment can input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result, and then send the transmission prediction result to the base station through the second feedback information, or the user The device sends the SNR/SINR information of the time-frequency resources used by the user equipment to the base station through the second feedback information, and then the base station inputs the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing, and obtains The transmission prediction result.

Among them, there are two forms of transmission prediction results:

S605: The base station sends the target RB and the target MCS to the user equipment, and uses the target RB and the target MCS to perform data transmission with the user equipment.

It should be pointed out that the base station sends the target RB and the target MCS to the user equipment through the downlink control channel.

As an example, assume that the capacity with a high MCS is 10x for a bit error rate of 0.1, and the capacity with a low MCS for a bit error rate of 0.0001 is x. Calculate the capacity gain for different prediction accuracy rates, which are the proportion of transmissions that are correct and predictions that are correct:

The prediction accuracy rate is 100%, and the capacity is 0.9*10x+0.1*x=9.1x;

The prediction accuracy rate is 50%, and the capacity is 0.5*10x+0.5*x=5.5x;

The prediction accuracy rate is 25%, and the capacity is 0.25*10x+0.75*x=3.25x;

are higher than the capacity x of the prior art.

It can be seen that, in the solution of this embodiment, the transmission result of the data is predicted by introducing a transmission prediction model, and then the quality of the channel can be determined, and the probability that the data sent by the base station to the user equipment is correctly received is greater than the preset probability. , that is, when the channel quality is good, the MCS is determined by the CQI-MCS mapping table with high block error rate, and the data transmission can be increased by using the MCS for data transmission; when it is determined that the data sent by the base station to the user equipment is correct by the user equipment The probability of receiving is not greater than the preset probability, that is, when the quality of the channel is poor, the MCS is determined through the CQI-MCS mapping table with low block error rate, and on the basis of satisfying the transmission requirements of the user equipment, the MCS is used for data transmission. It can meet the requirements of high reliability and low delay at the cost of small capacity loss, and at the same time improve the anti-interference ability.

Referring to FIG. 7 , FIG. 7 is a schematic flowchart of a resource configuration method provided by an embodiment of the present application. As shown in Figure 7, the method includes:

S701. The user equipment receives the channel reference signal sent by the base station.

Optionally, the above-mentioned channel reference signal may be CSI-RS, DM-RS, PT-RS, or the like.

S702, the user equipment performs channel estimation according to the channel reference signal, and obtains feedback information; the feedback information includes a wideband CQI, and the wideband CQI is obtained by the user equipment performing channel estimation based on the channel reference signal.

In an example, before the user equipment receives the channel reference signal sent by the base station, the user equipment further receives configuration information sent by the base station, where the configuration information includes CQI feedback mode information, where the CQI feedback mode information is used to indicate that the user equipment wants to send the base station to the base station. Report the CQI type, and the CQI feedback mode information is also used to indicate that the CQI information to be fed back is the CQI information of the subband that should be reported; in addition, the configuration information also includes but is not limited to the CQI feedback period, offset information, interference measurement resource information, etc. .

The user equipment performs channel estimation based on channel reference signals (such as CSI-RS, etc.), which specifically includes the user equipment based on the CSI-RS configuration information (such as CSI-RS settings) included in the configuration information, identifying the number of ports used for sending CSI-RS , Send the timing and resource position of each CSI-RS, part or all of the sequence signal and power control information to perform channel estimation to obtain SNR/SINR; .1-3, Table 5.2.2.1-4 set the CQI value corresponding to the modulation method, code rate, transmission block length, based on simulation or actual measurement to obtain the relationship between the block error rate and SNR/SINR curve, when satisfying Under the requirement of the target block error rate (0.1 or 0.00001), select the highest CQI value under the SNR/SINR obtained by channel estimation, and the CQI is the wideband CQI.

Among them, the MCS index table configuration under a transmission configuration in 3GPP TS-38.214 is as shown in Table 1 above.

In an optional embodiment, the wideband includes M subbands, and the CQI of the wideband includes CQIs of the M subbands. The CQIs of the M subbands can be obtained in the above manner.

S703. The user equipment sends the feedback information to the base station, so that the base station determines the target RB and the target MCS allocated for the user equipment based on the broadband CQI.

In an optional embodiment, the feedback information further includes SNR/SINR information of the time-frequency resources used by the user equipment, so that the base station can obtain the transmission prediction result based on the SNR/SINR information of the time-frequency resources used by the user equipment, and transmit the prediction result. It is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; wherein, the SNR/SINR information of the time-frequency resources used by the user equipment is obtained by the user equipment through channel estimation based on the channel reference signal.

In another optional embodiment, the feedback information further includes a transmission prediction result, and the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; the method in this embodiment further includes:

The user equipment inputs the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing, and obtains the transmission prediction result; the SNR/SINR information of the time-frequency resources used by the user equipment is the channel based on the channel reference signal. estimated.

Specifically, the user equipment may input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result, and then send the transmission prediction result to the base station through the feedback information, or the user equipment may send the transmission prediction result to the base station. The SNR/SINR information of the time-frequency resources used by the user equipment is sent to the base station through feedback information, and then the base station inputs the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result.

Further, the transmission prediction result includes the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment,

or the first identification bit, wherein, when the first flag bit takes the value of the first value, the first flag bit indicates that the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment is greater than the preset probability; When the value of the first flag bit is the second value, the first flag bit represents the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment.

Specifically, there are two forms of transmission prediction results, including:

S704, the user equipment receives the target RB and the target MCS sent by the base station, and receives data sent by the base station on the target RB based on the target MCS.

It should be pointed out here that the target RB sent by the base station to the user equipment is specifically the number of the RB, and the target MCS is the value of the MCS. The base station sends the target RB and the target MCS to the user equipment through the downlink control channel.

Referring to FIG. 8 , FIG. 8 is a schematic interactive flowchart of a communication method provided by an embodiment of the present application. As shown in Figure 8, the method includes:

S801. The base station sends configuration information to the user equipment.

The configuration information includes CQI feedback mode information, the CQI feedback mode information is used to indicate that the user equipment is to report the CQI type to the base station, and the CQI feedback mode information is also used to indicate that the CQI information to be fed back is the CQI information of the subband that should be reported ; In addition, the configuration information also includes, but is not limited to, CQI feedback cycle, offset information, interference measurement resource information, and the like.

S802. The base station sends a channel reference signal to the user equipment.

Wherein, the above-mentioned channel reference signal may be CSI-RS, DM-RS, PT-RS, or the like.

S803, the user equipment performs channel estimation based on the received channel reference signal to obtain CQI feedback information.

Specifically, the user equipment performs channel estimation based on a channel reference signal (such as CSI-RS, etc.), which specifically includes the user equipment, based on the CSI-RS configuration information (such as CSI-RS settings) included in the configuration information, identifying the CSI-RS used to send the CSI-RS. The number of ports, the timing and resource location of each CSI-RS, the sequence signal and power control information are part or all of the channel estimation to obtain the SNR/SINR; according to Table 5.2.2.1-2, The modulation method, code rate, and transport block length corresponding to the CQI values set in Table 5.2.2.1-3 and Table 5.2.2.1-4, and the relationship curve between block error rate and SNR/SINR is obtained based on simulation or actual measurement , under the requirement of meeting the target block error rate (0.1 or 0.00001), select the highest CQI value under the SNR/SINR obtained by channel estimation, and the CQI is the CQI of the subband. In this way, CQIs of M subbands can be obtained.

Among them, the MCS index table configuration under a transmission configuration in 3GPP TS-38.214 is shown in Table 1 (Table 5.1.3.1-1: MCS index table 1 for PDSCH), which indicates the modulation method and code rate used for transmission.

S804, the user equipment sends the CQI feedback information to the base station.

Wherein, the CQI feedback information includes but is not limited to the CQI indices of the M subbands. The subband CQI feedback information is related to downlink channel state information.

S805, the base station determines the target RB and the target MCS according to the subband CQI feedback information and the transmission demand capacity of the user equipment.

Specifically, the base station obtains the maximum MCS level under the corresponding block error rate requirement under the CQI of the corresponding subband from the CQI-MCS mapping table according to the M CQI indices carried in the received CQI feedback information, and the maximum MCS level is the subband the MCS value.

The CQI-MCS mapping table may be a CQI-MCS mapping table with a bit error rate of 0.00001 defined by the 5G standard, and the CQI-MCS mapping table is shown in Table 5.

The base station calculates the capacity of each subband according to the MCS value of each subband in the M subbands. The capacity of the subband is the maximum number of bits that can be transmitted by the subband, where the subband capacity is the number of REs available in the subband and the number of subbands. The product of efficiency corresponding to the MCS of the band; the base station sorts the M sub-band capacities in descending order to obtain the sorted sub-band capacities; wherein, the total transmission capacity of the K sub-bands in the first order is C _K = KR _K ; wherein, R _K is the capacity of the K-th sub-band ahead of the sorting in the sorted sub-band capacity; the base station calculates the K value according to the transmission demand capacity C of the user equipment; wherein, the K value satisfies the condition: sorting The total transmission capacity C _K of the first K sub-bands is greater than or equal to the transmission demand capacity C of the user equipment; wherein, the target RB is the time-frequency resource corresponding to the K sub-bands, and the target MCS is the sub-band with the smallest capacity among the K sub-bands Corresponding MCS.

S806, the base station sends the target RB and the target MCS to the user equipment.

It should be pointed out here that for the description of S801-S906, reference may be made to the relevant description of the embodiments shown in FIG. 3 and FIG. 7 , which will not be described here. The base station sends the target RB and the target MCS to the user equipment through the downlink control channel.

Specifically, after sending the target RB and the target MCS to the user equipment through the downlink control channel, the base station allocates the target RB to the user equipment, and uses the target MCS to send data to the user equipment on the target RB; after the user equipment receives the target RB and the target MCS , using the target MCS to receive the data sent by the base station on the target RB.

It can be seen that, in the solution of the embodiment of the present application, the sub-band MCS is used to calculate the sub-band capacity, and the method of sorting the sub-band capacity to obtain the minimum number of sub-bands that meet the needs of users is more efficient than the traditional method based on broadband CQI and MCS. The method of selecting the RB can avoid the situation that the overall configuration is limited by the worst channel based on the wideband CQI and the preset MCS, thereby greatly reducing the capacity loss caused thereby.

Referring to FIG. 9, FIG. 9 is a schematic flowchart of another interactive method provided by an embodiment of the present application. As shown in Figure 9, the method includes:

S901. The base station sends a channel reference signal to the user equipment.

The above channel reference signal may be CSI-RS, DM-RS or PT-RS.

It should be pointed out that before sending the channel reference signal to the user equipment, the base station sends configuration information to the user equipment, where the configuration information includes CQI feedback mode information, and the CQI feedback mode information is used to instruct the user equipment to include the CQI type to the base station. The feedback mode information is also used to indicate that the CQI information to be fed back is the CQI information of the subband that should be reported, and the configuration information also includes but is not limited to CQI feedback period, offset information, interference measurement resource information and so on.

S902, the user equipment performs channel estimation based on the received channel reference signal to obtain CQI feedback information.

The user equipment performs channel estimation based on channel reference signals (such as CSI-RS, etc.), which specifically includes the user equipment based on the CSI-RS configuration information (such as CSI-RS settings) included in the configuration information, identifying the number of ports used for sending CSI-RS , Send the timing and resource position of each CSI-RS, part or all of the sequence signal and power control information to perform channel estimation to obtain SNR/SINR; .1-3, Table 5.2.2.1-4 set the CQI value corresponding to the modulation method, code rate, transmission block length, based on simulation or actual measurement to obtain the relationship between the block error rate and SNR/SINR curve, when satisfying Under the requirement of the target block error rate (0.1 or 0.00001), select the highest CQI value under the SNR/SINR obtained by channel estimation, and the CQI is the CQI of the subband. In this way, CQIs of M subbands can be obtained.

S903, the user equipment predicts the subsequent transmission result based on the SNR/SINR of the time-frequency resource used by the user equipment, and obtains the transmission prediction result.

The above transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment.

Specifically, the user equipment inputs the SNR/SINR of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; wherein the transmission prediction model is implemented based on a convolutional neural network.

The transmission prediction result includes the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment, or;

In a feasible embodiment, the method of this embodiment further includes acquiring the transmission prediction model, which may optionally be obtained through online training or offline training. For the specific training process, reference may be made to the relevant description of the embodiment shown in FIG. 3 , which is not described herein again.

S904, the user equipment sends the CQI feedback information and the transmission prediction result to the base station.

The transmission prediction result may be carried in the CQI feedback information and sent together.

Optionally, the CQI feedback information includes the broadband CQI. Since the transmission prediction result is obtained by predicting the transmission result based on the SNR/SINR of the time-frequency resource used by the user equipment and the transmission prediction model, the transmission prediction result can be performed by the base station. Therefore, the CQI feedback information It may also include the SNR/SINR of the time-frequency resources used by the user equipment.

S905. The base station determines whether the transmission prediction result indicates that the transmission is successful.

It should be pointed out here that the transmission success means that when the subsequent base station sends data to the user equipment, the probability that the data is correctly received by the user equipment is greater than the preset probability; transmission failure means that when the subsequent base station sends data to the user equipment, the data is received by the user equipment. The probability of correct reception is not greater than the preset probability.

Specifically, if the base station determines that the transmission prediction result indicates that the transmission is successful, execute S906 and S907; if the base station determines that the transmission prediction result indicates that the transmission fails, execute S908 and S909.

S906, the base station determines MCS1 by using the CQI-MCS mapping table with a high block error rate based on the broadband CQI.

S907: The base station sends the RB and MCS1 corresponding to the broadband to the user equipment.

Specifically, after sending the RB corresponding to the broadband and the MCS1 to the user equipment through the downlink control channel, the base station allocates the RB corresponding to the broadband to the user equipment, and uses the MCS1 on the RB corresponding to the broadband to send data to the user equipment; the user equipment receives the broadband corresponding to After the RB and MCS1 are set, use the MCS1 to receive the data sent by the base station on the RB corresponding to the broadband.

S908, the base station determines MCS2 based on the broadband CQI using a CQI-MCS mapping table with a low block error rate.

S909, the base station sends the RB and MCS2 corresponding to the broadband to the user equipment.

Specifically, after sending the RB corresponding to the broadband and MCS2 to the user equipment through the downlink control channel, the base station allocates the RB corresponding to the broadband to the user equipment, and uses the MCS2 on the RB corresponding to the broadband to send data to the user equipment; the user equipment receives the broadband corresponding to After the RB and MCS2 are set, use the MCS2 to receive the data sent by the base station on the RB corresponding to the broadband.

It should be noted that the base station sends the RB and MCS corresponding to the broadband to the user equipment through the downlink control channel.

In an optional embodiment, the broadband includes M subbands, M is an integer greater than 1, and the CQI of the broadband includes the CQIs of the M subbands; Determine the MCS1 of each of the M subbands from the CQI-MCS mapping table with a high block error rate; if the base station determines that the transmission prediction result indicates that the transmission fails, the base station will convert the CQI-MCS of the M subbands from the CQI-MCS with a low block error rate according to the CQI of the M subbands. The mapping table determines the MCS1 for each of the M subbands.

After determining the MCS (MCS1 or MCS2) of each subband in the M subbands, the base station calculates the capacity of each subband according to the value of the MCS (MCS1 or MCS2) of each subband in the M subbands, and the capacity of the subband is the subband The maximum number of bits that can be transmitted, where the subband capacity is the product of the number of REs available in the subband and the efficiency corresponding to the MCS (MCS1 or MCS2) of the subband; The capacity is sorted to obtain the sorted subband capacity; wherein, the total capacity C _K =KR _K transmitted by the top K subbands; wherein, R _K is the sorted subband capacity, and the top K The capacity of subbands; the base station calculates the K value according to the transmission demand capacity C of the user equipment; wherein, the K value satisfies the condition: the total transmission capacity C _K of the top K subband transmissions is greater than or equal to the transmission demand capacity C of the user equipment ; wherein, the RB corresponding to the broadband is the time-frequency resource corresponding to the K subbands, and the MCS (MCS1 or MCS2) is the MCS (MCS1 or MCS2) corresponding to the subband with the smallest capacity among the K subbands.

Further, among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is smaller than the transmission demand capacity of the user equipment, and the top sorted Among the capacities of the K subbands, the product of the smallest capacity and K is not less than the transmission demand capacity of the user equipment; that is to say, the condition is satisfied: the total transmission capacity C _K of the K subbands in the top order is greater than or equal to the transmission demand capacity C of the user equipment The K value is the smallest. The base station sends the time-frequency resources corresponding to the K subbands and the MCS (MCS1 or MCS2) corresponding to the Kth subband to the user equipment.

It should be pointed out here that, for the description of S901-S909, reference may be made to the relevant description of the embodiments shown in FIG. 3, FIG. 6 and FIG. 7, which will not be described here.

Referring to FIG. 10, FIG. 10 is a schematic structural diagram of a base station according to an embodiment of the present application. As shown in Figure 10, the base station 1000 includes:

A sending unit 1001, configured to send a channel reference signal to a user equipment;

A receiving unit 1002, configured to receive first feedback information sent by the user equipment, where the first feedback information includes CQIs of M subbands, and the CQIs of the M subbands are obtained by the user equipment performing channel estimation based on channel reference signals, where M is greater than 1 the integer;

determining unit 1003, configured to determine the first MCS of the M subbands based on the CQIs of the M subbands; determine the target RB and the target MCS based on the first MCS of the M subbands and the transmission demand capacity of the user equipment;

The sending unit 1001 is further configured to send the target RB and the target MCS to the user equipment, and use the target RB and the target MCS to perform data transmission with the user equipment.

In a feasible embodiment, in the aspect of determining the target RB and the target MCS based on the first MCS of the M subband and the transmission demand capacity of the user equipment, the determining unit 1003 is specifically configured to:

In a feasible embodiment, in the aspect of determining the first MCS of the M subbands based on the CQIs of the M subbands, the determining unit 1003 is specifically configured to:

The first MCS of the M subbands is determined from the CQI-MCS mapping table corresponding to the first block error rate based on the CQIs of the M subbands.

In a feasible embodiment, if the first block error rate is higher than the preset block error rate, the base station 1000 further includes:

an obtaining unit 1004, configured to obtain a transmission prediction result, where the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment;

If the probability determined based on the transmission prediction result is not greater than the preset probability, in the aspect of determining the first MCS of the M subbands based on the CQIs of the M subbands, the determining unit 1003 is specifically configured to:

The first MCS of the M subbands is determined from the CQI-MCS mapping table corresponding to the second block error rate based on the CQIs of the M subbands, where the second block error rate is lower than the first block error rate.

The first feedback information also includes SNR/SINR information of the time-frequency resources used by the user equipment, and the obtaining unit 1004 is specifically configured to:

It should be noted that the above-mentioned units (the sending unit 1001, the receiving unit 1002, the determining unit 1003, and the obtaining unit 1004) are used to execute the relevant steps of the above-mentioned method. For example, the sending unit 1001 is used to execute the relevant content of S301 and S305, the receiving unit 1002 is used to execute the relevant content of S302, and the determining unit 1003 and the obtaining unit 1004 are used to execute the relevant content of steps S303 and S304.

In this embodiment, the base station 1000 is presented in the form of a unit. A "unit" here may refer to an application-specific integrated circuit (ASIC), a processor and memory executing one or more software or firmware programs, an integrated logic circuit, and/or other devices that can provide the above-described functions . In addition, the above determining unit 1003 and obtaining unit 1004 may be implemented by the processor 1301 of the base station shown in FIG. 13 .

Referring to FIG. 11, FIG. 11 is a schematic structural diagram of a base station according to an embodiment of the present application. As shown in Figure 11, the base station 1100 includes:

a sending unit 1101, configured to send a channel reference signal to the user equipment;

A receiving unit 1102, configured to receive second feedback information sent by the user equipment, where the second feedback information includes a wideband CQI, where the wideband CQI is obtained by the user equipment performing channel estimation based on a channel reference signal;

The determining unit 1103 is used to determine the MCS of the broadband based on the CQI of the broadband and the transmission prediction result, and the transmission prediction result is used to represent the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment; Determine the target based on the MCS of the broadband MCS, and determine the target RB based on the RB corresponding to the broadband;

The sending unit 1101 is further configured to send the target RB and the target MCS to the user equipment, and use the target RB and the target MCS to perform data transmission with the user equipment.

In a feasible embodiment, the determining unit 1003 is specifically configured to:

In a feasible embodiment, the wideband includes M subbands, and the CQI of the wideband includes the CQIs of the M subbands, where M is an integer greater than 1, and the determining unit 1003 is specifically configured to:

In a feasible embodiment, the determining unit 1003 is further specifically configured to:

In a feasible embodiment, the first feedback information further includes the transmission prediction result, or the first feedback information further includes SNR/SINR information of the time-frequency resources used by the user equipment, and the base station 1100 further includes:

The prediction unit 1104 is configured to input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; wherein, the time-frequency resources used by the user equipment include multiple resource elements RE, SNR /SINR information includes SNR/SINR of multiple REs.

It should be noted that the above-mentioned units (the sending unit 1101, the receiving unit 1102, the determining unit 1103, and the predicting unit 1104) are used to execute the relevant steps of the above-mentioned method. For example, the sending unit 1101 is used to execute the relevant content of S601 and S604, the receiving unit 1102 is used to execute the relevant content of S602, and the determining unit 1103 and the prediction unit 1104 are used to execute the relevant content of step S603.

In this embodiment, the base station 1100 is presented in the form of a unit. A "unit" here may refer to an application-specific integrated circuit (ASIC), a processor and memory executing one or more software or firmware programs, an integrated logic circuit, and/or other devices that can provide the above-described functions . In addition, the above determination unit 1103 and prediction unit 1104 may be implemented by the processor 1301 of the base station shown in FIG. 13 .

Referring to FIG. 12, FIG. 12 is a schematic structural diagram of a user equipment provided by an embodiment of the present application. As shown in Figure 12, the user equipment 1200 includes:

a receiving unit 1201, configured to receive a channel reference signal sent by a base station;

The channel estimation unit 1202 is configured to perform channel estimation according to the channel reference signal to obtain feedback information; the feedback information includes a wideband CQI, and the wideband CQI is obtained by the user equipment performing channel estimation based on the channel reference signal;

The sending unit 1203 is configured to send the feedback information to the base station, so that the base station determines the target RB and the target MCS allocated for the user equipment based on the broadband CQI; receives the target RB and the target MCS sent by the base station, and uses the target MCS on the target RB Receive data sent by the base station.

In a feasible embodiment, the feedback information further includes a transmission prediction result, where the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the subsequent base station sends data to the user equipment; the user equipment 1200 further includes:

The prediction unit 1204 is configured to input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain a transmission prediction result; the SNR/SINR information of the time-frequency resources used by the user equipment is the channel-based SNR/SINR information of the user equipment. The reference signal is obtained by channel estimation.

It should be noted that the above units (the receiving unit 1201, the channel estimating unit 1202, the transmitting unit 1203 and the predicting unit 1204) are used to execute the relevant steps of the above method. For example, the receiving unit 1201 is used to execute the relevant content of S701, the channel estimation unit 1202 and the prediction unit 1204 are used to execute the relevant content of S702, and the sending unit 1203 is used to execute the relevant content of step S703.

In this embodiment, the user equipment 1200 is presented in the form of a unit. A "unit" herein may refer to an ASIC, a processor and memory executing one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the above-described functions. In addition, the above channel estimation unit 1202 and prediction unit 1204 may be implemented by the processor 1401 of the user equipment shown in FIG. 14 .

Referring to FIG. 13 , FIG. 13 is a schematic structural diagram of a base station provided by an embodiment of the present application; the base station 1300 shown in FIG. 13 includes a memory 1302 , a processor 1301 , and a communication interface 1303 . The memory 1302, the processor 1301 and the communication interface 1303 are connected to each other through a bus.

The memory 1302 may be a read only memory (Read Only Memory, ROM), a static storage device, a dynamic storage device, or a random access memory (Random Access Memory, RAM). The memory 802 may store a program. When the program stored in the memory 1302 is executed by the processor 1301, the processor 1301 and the communication interface 1303 are used to execute each step of the resource configuration method of the embodiment of the present application.

The processor 1301 may use a general-purpose central processing unit (Central Processing Unit, CPU), a microprocessor, an ASIC, a graphics processing unit (graphics processing unit, GPU) or one or more integrated circuits for executing related programs to achieve The functions required to be performed by the units in the vehicle-mounted device of the embodiments of the present application, or the communication methods for hearing-impaired passengers of the method embodiments of the present application.

The processor 1301 can also be an integrated circuit chip, which has signal processing capability. In the implementation process, each step of the hearing-impaired passenger communication method of the present application may be completed by an integrated logic circuit of hardware in the processor 1301 or instructions in the form of software. The above-mentioned processor 1301 can also be a general-purpose processor, a digital signal processor (Digital Signal Processing, DSP), an ASIC, an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistors Logic devices, discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory 1302, and the processor 1301 reads the information in the memory 1302, and combines its hardware to complete the functions required to be performed by the units included in the vehicle-mounted device of the embodiments of the present application, or to execute the hearing-impaired passengers of the method embodiments of the present application. method of communication.

The communication interface 1303 uses a transceiver such as but not limited to a transceiver to implement communication between the base station and other devices or a communication network.

The bus may include pathways for communicating information between various components of the base station 1300 (eg, memory 1302, processor 1301, communication interface 1303).

It should be understood that the determining unit 1003 and the acquiring unit 1004 in the base station 1000 may be equivalent to the processor 1301, and the transmitting unit 1001 and the receiving unit 1002 may be equivalent to the communication interface 1303,

Alternatively, the determining unit 1103 and the predicting unit 1104 in the base station 1100 may be equivalent to the processor 1301 , and the transmitting unit 1101 and the receiving unit 1102 may be equivalent to the communication interface 1303 .

It should be noted that although the base station 1300 shown in FIG. 13 only shows a memory, a processor, and a communication interface, in the specific implementation process, those skilled in the art should understand that the base station 1300 also includes other devices necessary for normal operation . Meanwhile, according to specific needs, those skilled in the art should understand that the base station 1300 may further include hardware devices that implement other additional functions. In addition, those skilled in the art should understand that the base station 1300 may also only include the necessary components for implementing the embodiments of the present application, and does not necessarily include all the components shown in FIG. 13 .

It can be understood that the base station 1300 is equivalent to the execution device 210 in FIG. 2 . Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

Referring to FIG. 14 , FIG. 14 is a schematic structural diagram of a user equipment provided by an embodiment of the present application; the user equipment 1400 shown in FIG. 14 includes a memory 1402 , a processor 1401 , and a communication interface 1403 . The memory 1402, the processor 1401 and the communication interface 1403 are connected to each other through a bus.

Memory 1402 may be ROM, static storage, dynamic storage, or RAM. The memory 802 may store a program. When the program stored in the memory 1402 is executed by the processor 1401, the processor 1401 and the communication interface 1403 are used to execute each step of the resource configuration method of the embodiment of the present application.

The processor 1401 may adopt a general-purpose CPU, a microprocessor, an ASIC, a GPU, or one or more integrated circuits, and is used to execute a related program, so as to realize the functions required to be executed by the units in the vehicle-mounted device of the embodiments of the present application, or to execute The hearing-impaired passenger communication method according to the method embodiment of the present application.

The processor 1401 may also be an integrated circuit chip, which has signal processing capability. In the implementation process, each step of the hearing-impaired passenger communication method of the present application can be completed by the hardware integrated logic circuit in the processor 1401 or the instructions in the form of software. The above-mentioned processor 1401 may also be a general-purpose processor, DSP, ASIC, FPGA or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory 1402, and the processor 1401 reads the information in the memory 1402 and, in combination with its hardware, completes the functions required to be performed by the units included in the vehicle-mounted device of the embodiments of the present application, or executes the hearing-impaired passengers of the method embodiments of the present application. method of communication.

The communication interface 1403 uses a transceiver such as but not limited to a transceiver to implement communication between the user equipment and other devices or a communication network.

The bus may include a pathway for transferring information between the various components of the user equipment 1400 (eg, memory 1402, processor 1401, communication interface 1403).

It should be understood that the channel estimation unit 1202 and the prediction unit 1204 in the user equipment 1200 may be equivalent to the processor 1401 , and the sending unit 1201 and the receiving unit 1203 may be equivalent to the communication interface 1403 .

It should be noted that although the user equipment 1400 shown in FIG. 14 only shows a memory, a processor, and a communication interface, in the specific implementation process, those skilled in the art should understand that the user equipment 1400 also includes necessary components for normal operation. other devices. Meanwhile, according to specific needs, those skilled in the art should understand that the user equipment 1400 may further include hardware devices that implement other additional functions. In addition, those skilled in the art should understand that the user equipment 1400 may only include the necessary components for implementing the embodiments of the present application, and does not necessarily include all the components shown in FIG. 14 .

It can be understood that the user equipment 1400 may be equivalent to the execution device 210 in FIG. 2 . Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

Embodiments of the present application further provide a computer storage medium, wherein the computer storage medium can store a program, and when the program is executed, it can implement some or all of the steps of any resource configuration method described in the above method embodiments. The aforementioned storage medium includes: U disk, ROM, RAM, mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Because in accordance with the present application, certain steps may be performed in other orders or concurrently. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units or components may be combined or Integration into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

A resource allocation method, comprising:

sending a channel reference signal to the user equipment;

Receive first feedback information sent by the user equipment, where the first feedback information includes channel measurement indication CQIs of M subbands used for data transmission between the base station and the user equipment, and the CQIs of the M subbands are Obtained by the user equipment performing channel estimation based on the channel reference signal, the M is an integer greater than 1;

determining a first modulation and coding strategy MCS of the M subbands based on the CQIs of the M subbands;

determining a target resource block RB and a target MCS based on the first MCS of the M subbands and the transmission demand capacity of the user equipment;

The target RB and the target MCS are sent to the user equipment.
The method according to claim 1, wherein the determining a target RB and a target MCS based on the first MCS of the M subband and the transmission demand capacity of the user equipment comprises:

determining the capacity of each of the M subbands based on the first MCS of the M subbands;

Based on the transmission demand capacity of the user equipment and the capacity of the M subbands, K subbands are determined from the M subbands, and the capacities of the K subbands are the capacities of the M subbands in descending order. order, the capacity of the top K subbands, and the product of the smallest capacity and K in the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; the K is greater than 0 and not greater than M integer;

The target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.
The method according to claim 2, wherein among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is less than The transmission demand capacity of the user equipment, and the product of the smallest capacity and K among the capacities of the top K subbands is not less than the transmission demand capacity of the user equipment.
The method according to any one of claims 1-3, wherein the determining the first MCS of the M subbands based on the CQIs of the M subbands comprises:

The first MCS of the M subbands is determined from the first CQI-MCS mapping table based on the CQIs of the M subbands.
The method according to claim 4, wherein if the block error rate corresponding to the first CQI-MCS mapping table is higher than a preset block error rate, the method further comprises:

obtaining a transmission prediction result, where the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time;

If it is determined based on the transmission prediction result that the probability is not greater than the preset probability, the determining the first MCS of the M subbands based on the CQIs of the M subbands includes:

Determine the first MCS of the M subbands from the CQI-MCS mapping table corresponding to the second block error rate based on the CQIs of the M subbands,

The second block error rate is lower than the first block error rate, and the first block error rate is the block error rate corresponding to the first CQI-MCS mapping table.
The method according to claim 5, wherein the first feedback information further includes the transmission prediction result, or,

The first feedback information further includes signal-to-noise ratio SNR/signal-to-interference ratio SINR information of the time-frequency resources used by the user equipment, and the obtaining a transmission prediction result includes:

inputting the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result;

The time-frequency resource used by the user equipment includes multiple resource elements RE, and the SNR/SINR information includes the SNR/SINR of the multiple REs.
The method according to claim 6, wherein the transmission prediction result includes a probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time,

or the first identification bit, wherein, when the value of the first flag bit is a first value, the first flag bit indicates that the data is sent by the user equipment to the user equipment this time when the base station sends data to the user equipment. The probability that the device receives correctly is greater than the preset probability; when the value of the first flag bit is the second value, the first flag bit indicates that the data is sent by the base station to the user equipment this time. The probability of being correctly received by the user equipment is not greater than the preset probability.
A resource allocation method, comprising:

sending a channel reference signal to the user equipment;

Receive second feedback information sent by the user equipment, where the second feedback information includes a wideband channel measurement indication CQI used for data transmission between the base station and the user equipment, and the wideband CQI is the user equipment obtained by performing channel estimation based on the channel reference signal;

The broadband modulation and coding strategy MCS is determined based on the broadband CQI and the transmission prediction result. The transmission prediction result is used to indicate that the data is correctly received by the user equipment when the base station sends data to the user equipment this time. probability;

Determine the target MCS based on the MCS of the broadband, and determine the target RB based on the resource block RB corresponding to the broadband;

The target resource block RB and the target MCS are sent to the user equipment.
The method according to claim 8, wherein the determining the MCS of the wideband based on the wideband CQI and a transmission prediction result comprises:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is greater than a preset probability, the third block error rate based on the broadband CQI is determined from the third block error rate. The MCS of the broadband is determined in the corresponding CQI-MCS mapping table,

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is not greater than the preset probability, the CQI based on the broadband is changed from the fourth The MCS of the broadband is determined in the CQI-MCS mapping table corresponding to the block error rate;

Wherein, the third block error rate is higher than the fourth block error rate.
The method according to claim 8, wherein the wideband comprises M subbands, the wideband CQI comprises M subbands CQI, M is an integer greater than 1, and the wideband CQI and transmission The prediction results determine the MCS of the broadband, including:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is greater than a preset probability, the CQI based on the M subbands is converted from the third error The MCS of the M subbands are determined in the CQI-MCS mapping table corresponding to the block rate,

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is not greater than the preset probability, the CQI based on the M subbands is converted from The MCS of the M subbands is determined in the CQI-MCS mapping table corresponding to the fourth block error rate;

Wherein, the third block error rate is higher than the fourth block error rate.
The method of claim 10, wherein the method further comprises:

determining the capacity of each of the M subbands based on the MCS of the M subbands;

Based on the transmission demand capacity of the user equipment and the capacity of the M subbands, K subbands are determined from the M subbands, and the capacities of the K subbands are the capacities of the M subbands in descending order. order, the capacity of the top K subbands, and the product of the smallest capacity and K in the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; the K is greater than 0 and not greater than M integer;

The target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.
The method according to claim 11, wherein among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is less than The transmission demand capacity of the user equipment, and the product of the smallest capacity and K among the capacities of the top K subbands is not less than the transmission demand capacity of the user equipment.
The method according to any one of claims 8-12, wherein the first feedback information further includes the transmission prediction result, or,

The first feedback information further includes signal-to-noise ratio SNR/signal-to-interference ratio SINR information of the time-frequency resources used by the user equipment, and the method further includes:

inputting the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result;

The time-frequency resource used by the user equipment includes multiple resource elements RE, and the SNR/SINR information includes the SNR/SINR of the multiple REs.
The method according to claim 13, wherein the transmission prediction result includes a probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time,

or the first identification bit, wherein, when the first flag bit takes a value of a first value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is sent to the user equipment by the user equipment. The probability of correct reception is greater than the preset probability; when the first flag bit takes the value of the second value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is received by the user equipment. The probability that the user equipment is correctly received is not greater than the preset probability.
A resource allocation method, comprising:

receiving the channel reference signal sent by the base station;

Channel estimation is performed according to the channel reference signal to obtain feedback information; the feedback information includes a wideband channel measurement indication CQI used for data transmission between the base station and the user equipment. obtained by performing channel estimation on the channel reference signal;

sending the feedback information to the base station, so that the base station determines, based on the broadband CQI, a target resource block RB and a target modulation and coding strategy MCS allocated for the user equipment;

The target RB and the target MCS sent by the base station are received.
The method according to claim 15, wherein the wideband comprises M subbands, and the CQI of the wideband comprises the CQI of the M subbands.
The method according to claim 15 or 16, wherein the feedback information further includes SNR/SINR information of the time-frequency resources used by the user equipment for the base station to use based on the time-frequency resources used by the user equipment The SNR/SINR information of the resource obtains a transmission prediction result, and the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time;

Wherein, the SNR/SINR information of the time-frequency resource used by the user equipment is obtained by the user equipment performing channel estimation based on the channel reference signal.
The method according to claim 15 or 16, wherein the feedback information further includes a transmission prediction result, and the transmission prediction result is used to indicate that when the base station sends the data to the user equipment this time, the data is received by the user equipment. the probability of correct reception by the user equipment; the method further includes:

Input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result; the SNR/SINR information of the time-frequency resources used by the user equipment is the Obtained by the user equipment performing channel estimation based on the channel reference signal.
The method according to any one of claims 16-18, wherein the transmission prediction result includes a probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time,

or the first identification bit, where, when the first flag bit takes a value of a first value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is correctly received by the user equipment The probability is greater than the preset probability; when the first flag bit takes the value of the second value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is received by the user The probability that the device will receive it correctly.
A base station, comprising:

a sending unit, configured to send a channel reference signal to the user equipment;

a receiving unit, configured to receive first feedback information sent by the user equipment, where the first feedback information includes channel measurement indication CQIs of M subbands used for data transmission between the base station and the user equipment, and the The CQIs of the M subbands are obtained by the user equipment performing channel estimation based on the channel reference signal, and the M is an integer greater than 1;

a determining unit, configured to determine the first modulation and coding strategy MCS of the M subbands based on the CQIs of the M subbands; determine target resources based on the first MCS of the M subbands and the transmission demand capacity of the user equipment Block RB and target MCS

The sending unit is further configured to send the target RB and the target MCS to the user equipment.
The base station according to claim 20, wherein, in the aspect of determining the target RB and the target MCS based on the first MCS of the M subband and the transmission demand capacity of the user equipment, the determining unit specifically uses At:

determining the capacity of each of the M subbands based on the first MCS of the M subbands;

Based on the transmission demand capacity of the user equipment and the capacity of the M subbands, K subbands are determined from the M subbands, and the capacities of the K subbands are the capacities of the M subbands in descending order. order, the capacity of the top K subbands, and the product of the smallest capacity and K in the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; the K is greater than 0 and not greater than M integer;

The target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.
The base station according to claim 21, wherein among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is less than The transmission demand capacity of the user equipment, and the product of the smallest capacity and K among the capacities of the top K subbands is not less than the transmission demand capacity of the user equipment.
The base station according to any one of claims 20-22, wherein, in the aspect of determining the first MCS of the M subbands based on the CQIs of the M subbands, the determining unit is specifically configured to:

The first MCS of the M subbands is determined from the first CQI-MCS mapping table based on the CQIs of the M subbands.
The base station according to claim 23, wherein if the block error rate corresponding to the first CQI-MCS mapping table is higher than a preset block error rate, the base station further comprises:

an obtaining unit, configured to obtain a transmission prediction result, where the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time;

In the aspect of determining the first MCS of the M subbands based on the CQIs of the M subbands, the determining unit is specifically configured to:

If it is determined based on the transmission prediction result that the probability is not greater than the preset probability, the first block of the M subbands is determined from the CQI-MCS mapping table corresponding to the second block error rate based on the CQIs of the M subbands An MCS, wherein the second block error rate is lower than the first block error rate, and the first block error rate is a block error rate corresponding to the first CQI-MCS mapping table.
The base station according to claim 23, wherein the first feedback information further includes the transmission prediction result, or,

The first feedback information further includes signal-to-noise ratio SNR/signal-to-interference ratio SINR information of the time-frequency resources used by the user equipment, and the obtaining unit is specifically configured to:

inputting the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result;

The time-frequency resource used by the user equipment includes multiple resource elements RE, and the SNR/SINR information includes the SNR/SINR of the multiple REs.
The base station according to claim 21, wherein the transmission prediction result includes a probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time,

or the first identification bit, wherein, when the value of the first flag bit is a first value, the first flag bit indicates that the data is sent by the user equipment to the user equipment this time when the base station sends data to the user equipment. The probability that the device receives correctly is greater than the preset probability; when the value of the first flag bit is the second value, the first flag bit indicates that the data is sent by the base station to the user equipment this time. The probability of being correctly received by the user equipment is not greater than the preset probability.
A base station, comprising:

a sending unit, configured to send a channel reference signal to the user equipment;

a receiving unit, configured to receive second feedback information sent by the user equipment, where the second feedback information includes a channel measurement indication CQI of a broadband used for data transmission between the base station and the user equipment, and the broadband The CQI is obtained by the user equipment performing channel estimation based on the channel reference signal;

A determination unit, configured to determine the wideband modulation and coding strategy MCS based on the wideband CQI and a transmission prediction result, where the transmission prediction result is used to indicate that when the base station sends data to the user equipment this time, the data is The probability that the user equipment is correctly received; the target MCS is determined based on the MCS of the wideband, and the target RB is determined based on the resource block RB corresponding to the wideband;

The sending unit is further configured to send the target resource block RB and the target MCS to the user equipment.
The base station according to claim 27, wherein, in the aspect of determining the MCS of the broadband based on the CQI of the broadband and a transmission prediction result, the determining unit is specifically configured to:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is greater than a preset probability, the third block error rate based on the broadband CQI is determined from the third block error rate. The MCS of the broadband is determined in the corresponding CQI-MCS mapping table,

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is not greater than the preset probability, the CQI based on the broadband is changed from the fourth The MCS of the broadband is determined in the CQI-MCS mapping table corresponding to the block error rate;

Wherein, the third block error rate is higher than the fourth block error rate.
The base station according to claim 27, wherein the broadband includes M subbands, the CQI of the broadband includes CQIs of the M subbands, and M is an integer greater than 1, and the broadband-based CQI and The transmission prediction result determines the aspect of the MCS of the broadband, and the determining unit is specifically configured to:

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is greater than a preset probability, the CQI based on the M subbands is converted from the third error The MCS of the M subbands are determined in the CQI-MCS mapping table corresponding to the block rate,

When it is determined based on the transmission prediction result that the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time is not greater than the preset probability, the CQI based on the M subbands is converted from The MCS of the M subbands is determined in the CQI-MCS mapping table corresponding to the fourth block error rate;

Wherein, the third block error rate is higher than the fourth block error rate.
The base station according to claim 29, wherein the determining unit is further configured to:

determining the capacity of each of the M subbands based on the MCS of the M subbands;

Based on the transmission demand capacity of the user equipment and the capacity of the M subbands, K subbands are determined from the M subbands, and the capacities of the K subbands are the capacities of the M subbands in descending order. order, the capacity of the top K subbands, and the product of the smallest capacity and K in the capacities of the K subbands is not less than the transmission demand capacity of the user equipment; the K is greater than 0 and not greater than M integer;

The target RB is the time-frequency resource corresponding to the K subbands, and the target MCS is the MCS corresponding to the subband with the smallest capacity among the K subbands.
The base station according to claim 30, wherein among the capacities of the M subbands in descending order, the product of the smallest capacity and K-1 among the capacities of the top K-1 subbands is less than The transmission demand capacity of the user equipment, and the product of the smallest capacity and K among the capacities of the top K subbands is not less than the transmission demand capacity of the user equipment.
The base station according to any one of claims 27-31, wherein the first feedback information further includes the transmission prediction result, or,

The first feedback information further includes signal-to-noise ratio SNR/signal-to-interference ratio SINR information of the time-frequency resources used by the user equipment, and the base station further includes:

a prediction unit, configured to input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result;

The time-frequency resource used by the user equipment includes multiple resource elements RE, and the SNR/SINR information includes the SNR/SINR of the multiple REs.
The base station according to claim 32, wherein the transmission prediction result includes a probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time,

or the first identification bit, wherein, when the first flag bit takes a value of a first value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is sent to the user equipment by the user equipment. The probability of correct reception is greater than the preset probability; when the first flag bit takes the value of the second value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is received by the user equipment. The probability that the user equipment is correctly received is not greater than the preset probability.
A user equipment, comprising:

a receiving unit, configured to receive the channel reference signal sent by the base station;

a channel estimation unit, configured to perform channel estimation according to the channel reference signal to obtain feedback information; the feedback information includes a wideband channel measurement indication CQI used for data transmission between the base station and the user equipment, the The wideband CQI is obtained by the user equipment performing channel estimation based on the channel reference signal;

a sending unit, configured to send the feedback information to the base station, so that the base station determines a target resource block RB and a target modulation and coding strategy MCS allocated for the user equipment based on the broadband CQI;

The receiving unit is further configured to receive the target RB and the target MCS sent by the base station.
The user equipment according to claim 34, wherein the wideband comprises M subbands, and the CQI of the wideband comprises the CQI of the M subbands.
The user equipment according to claim 34 or 35, wherein the feedback information further includes signal-to-noise ratio (SNR)/signal-to-interference ratio (SINR) information of the time-frequency resources used by the user equipment for the base station to use based on the The transmission prediction result is obtained from the SNR/SINR information of the time-frequency resources used by the user equipment, and the transmission prediction result is used to indicate the probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time. ;

Wherein, the SNR/SINR information of the time-frequency resource used by the user equipment is obtained by the user equipment performing channel estimation based on the channel reference signal.
The user equipment according to claim 35 or 36, wherein the feedback information further includes a transmission prediction result, and the transmission prediction result is used to indicate that when the base station sends data to the user equipment this time, the data is The probability that the user equipment is correctly received; the user equipment further includes:

a prediction unit, configured to input the SNR/SINR information of the time-frequency resources used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result; the SNR/SINR information of the time-frequency resources used by the user equipment The SINR information is obtained by the user equipment performing channel estimation based on the channel reference signal.
The user equipment according to any one of claims 35-37, wherein the transmission prediction result includes a probability that the data is correctly received by the user equipment when the base station sends data to the user equipment this time,

or the first identification bit, where, when the first flag bit takes a value of a first value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is correctly received by the user equipment The probability is greater than the preset probability; when the first flag bit takes the value of the second value, the first flag bit indicates that when the base station sends data to the user equipment this time, the data is received by the user The probability that the device will receive it correctly.
A base station, characterized in that it includes a processor and a memory, wherein the processor is connected to the memory, wherein the memory is used to store program codes, and the processor is used to call the program codes to execute the method according to the claim. The method of any one of claims 1 to 14.
A user equipment, characterized in that it includes a processor and a memory, wherein the processor is connected to the memory, wherein the memory is used for storing program codes, and the processor is used for calling the program codes to execute such as The method of any one of claims 15 to 18.
A chip system, characterized in that the chip system is applied to electronic equipment; the chip system includes one or more interface circuits and one or more processors; the interface circuit and the processor are interconnected by lines ; the interface circuit is configured to receive a signal from the memory of the electronic device and send the signal to the processor, the signal comprising computer instructions stored in the memory; when the processor executes the computer When instructed, the electronic device performs the method of any one of claims 1-18.
A computer-readable storage medium, characterized in that, the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method according to any one of claims 1 to 18.