CN115552960A

CN115552960A - Resource allocation method and related equipment

Info

Publication number: CN115552960A
Application number: CN202180008774.7A
Authority: CN
Inventors: 姜伟鹏; 白铂; 曾思南; 张慧敏
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2021-04-30
Filing date: 2021-04-30
Publication date: 2022-12-30
Also published as: WO2022227061A1

Abstract

The present application relates to the field of Artificial Intelligence (AI), and in particular, to a resource allocation method and related device. Wherein, the method comprises the following steps: a channel reference signal transmitted to a user equipment; receiving first feedback information sent by user equipment, wherein the first feedback information comprises CQIs of M sub-bands, the CQIs of the M sub-bands are obtained by the user equipment through channel estimation based on a channel reference signal, and the MCS of the M sub-bands is determined based on the CQIs of the M sub-bands; determining a target Resource Block (RB) and a target MCS based on the MCS of the M sub-bands and the transmission required capacity of the user equipment; and transmitting the target RB and the target MCS to the user equipment.

Description

Resource allocation method and related equipment

Technical Field

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

Background

The wireless communication transmission link has no high reliable transmission property all the time due to the characteristics of the wireless communication transmission link, supported services are mostly 'best effort', the current traditional wireless link reliability design mainly aims at enhancing mobile bandwidth (eMBB) services, the one-time transmission accuracy is 90%, and error correction is carried out by carrying out retransmission increment redundancy version after error transmission occurs.

Higher requirements are provided in the 5G vertical industry on reliability, for example, a Power Line Communication (PLC) control signaling in a scene such as a power grid/port requires that a 99.99% -99.999% reliability target be realized, a 10ms-20ms delay requirement is provided, and the transmission accuracy needs to be improved for 1 time. At present, 99.99% of transmission accuracy can be achieved mainly through a resource redundancy mode (modulation and coding scheme (MCS) needs to be reduced by 7-9 orders on average), but capacity sacrifice reaches 10X orders, which is equivalent to that 10 eMBB users exchange an ultra-reliable low latency communication (URLLC) user, and equivalent signal-to-noise ratio loss means that effective coverage is greatly reduced.

In the currently released 5G standard, in the aspect of reliability enhancement, R15 supports Packet Data Convergence Protocol (PDCP) layer diversity transmission of two branches, that is, a data packet is copied in a PDCP layer, and then the influence caused by deterioration of a wireless environment is resisted by a method of transmitting the same data on two wireless links, so as to ensure reliability of a communication link. To further enhance reliability, R16 released in 2020 enhances the PDCP replication mechanism, and can support up to 4 copies of data transmission, and at the same time, enhances the control of activating/deactivating PDCP replication. This method of improving transmission reliability through repeated coding of data further results in a loss of system capacity, which achieves the same gain at a higher cost than adjusting MCS.

Compared with the traditional mobile broadband data service, the URLLC part of the 5G provides high-reliability low-delay requirements, and in order to meet the condition, the prior art adopts the MCS with greatly reduced transmission data, so that the whole transmission capacity is greatly reduced. Therefore, how to meet the requirements of high reliability and low time delay under the cost of smaller capacity loss is a problem to be solved urgently in the scenes of URLLC and the like.

Disclosure of Invention

The embodiment of the application provides a resource allocation method and related equipment, which can meet the requirements of high reliability and low time delay under the condition of low capacity loss cost.

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

a channel reference signal transmitted to a user equipment; receiving first feedback information sent by user equipment, wherein the first feedback information comprises Channel Quality Indication (CQI) of M sub-bands, the CQI of the M sub-bands is obtained by the user equipment through channel estimation based on a channel reference signal, and M is an integer greater than 1; determining a first MCS for the M subbands based on the CQIs for the M subbands; determining a target Resource Block (RB) and a target MCS based on the first MCS of the M sub-bands and the transmission required capacity of the user equipment; and sending the target RB and the target MCS to the user equipment through a downlink control channel, distributing the target RB for the user equipment, and carrying out data transmission with the user equipment by using the target RB and the target MCS.

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

It should be noted that the channel in the above channel estimation refers to a channel between the base station and the user equipment.

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

It should be noted that the target RB transmitted by the base station to the user equipment is specifically the RB number, 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 target RB is distributed for the user equipment, and the data which needs to be transmitted at this time is sent to the user equipment on the target RB by using the target MCS.

In one possible embodiment, determining the first MCS for the M subbands based on the CQIs for the M subbands includes:

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

The MCS of the multiple sub-bands is determined from the CQI-MCS mapping table corresponding to the first block error rate based on the CQI of the multiple sub-bands, and the RB and the MCS are configured for the user equipment based on the MCS of the multiple sub-bands and the transmission required capacity of the user equipment, so that the user equipment can be configured with a higher MCS on the basis of meeting the transmission requirement of the user equipment, and the requirement of high reliability and low time delay is met at the loss cost of smaller capacity.

In one possible embodiment, determining the target RB and the target MCS based on the first MCS of the M subband and the transmission required capacity of the user equipment includes:

determining a capacity of each of the M subbands based on a first MCS for the M subbands; determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are ranked in the top order from the largest to the smallest in the capacities of the M sub-bands, and the product of the minimum capacity and the K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M; the target RB is a time-frequency resource corresponding to K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.

In the prior art, the MCS configured for the user equipment is limited to the minimum MCS among the MCSs of the multiple sub-bands, thereby causing the total transmission capacity of the multiple sub-bands to be limited to the minimum transmission capacity among the transmission capacities of the multiple sub-bands; in this embodiment, by sorting the capacities of the multiple subbands and selecting K subbands that are sorted in the top, where a product of a minimum capacity of the K subbands and K is not smaller than a transmission capacity of the ue, time-frequency resources corresponding to the K subbands and an MCS corresponding to a subband with a minimum transmission capacity in the K subbands are configured to the ue.

In one possible embodiment, the capacity of the M subbands is in descending order, the product of the minimum capacity of the top K-1 subbands and K-1 is smaller than the transmission required capacity of the user equipment, and the product of the minimum capacity of the top K subbands and K is not smaller than the transmission required capacity of the user equipment. Compared with the prior art, the embodiment can configure a higher MCS for the UE on the basis of meeting the transmission requirement of the UE, thereby meeting the requirements of high reliability and low time delay under the loss cost of smaller capacity.

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

acquiring a transmission prediction result, wherein the transmission prediction result is used for representing the probability that data is correctly received by user equipment when a subsequent base station sends the data to the user equipment; if the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be not more than the preset probability based on the transmission prediction result, determining a first MCS of M sub-bands based on the CQI of the M sub-bands, wherein the method comprises the following steps: and determining a first MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a second block error rate based on the CQIs of the M sub-bands, wherein the second block error rate is lower than the first block error rate.

And if the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be larger than the preset probability based on the transmission prediction result, determining a first MCS of the M sub-bands from a CQI-MCS mapping table corresponding to the first block error rate based on the CQIs of the M sub-bands.

By introducing the transmission prediction result and selecting a proper MCS-CQI mapping table based on the transmission prediction result, the reliable transmission requirement of the user equipment can be met for the user equipment configuration, and the larger MCS can meet the high-reliability requirement of the transmission data with lower redundancy.

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

the first feedback information further includes signal-to-noise ratio (SNR)/SINR (signal-to-interference plus noise ratio) information of a time-frequency resource used by the ue, and the obtaining of the transmission prediction result includes:

inputting SNR/SINR information of time-frequency resources used by user equipment into a transmission prediction model for processing to obtain a transmission prediction result; the time-frequency resource used by the user equipment includes a plurality of Resource Elements (REs), and the SNR/SINR information includes SNR/SINR of the plurality of REs.

In one possible embodiment, the transmission prediction result includes a probability that the data will be correctly received by the user equipment when the subsequent base station transmits the data to the user equipment,

or the first flag 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 the 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 indicates that the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is not greater than the preset probability.

By introducing the first flag bit of 1bit and expressing 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 the data to the user equipment based on different values of the first flag bit, the transmission resource overhead can be reduced when the information is transmitted.

In a second aspect, an embodiment of the present application provides another resource allocation method, including:

transmitting a channel reference signal to a user equipment; receiving second feedback information sent by the user equipment, wherein the second feedback information comprises wideband CQI, and the wideband CQI is obtained by the user equipment through channel estimation based on a channel reference signal; determining the MCS of the broadband based on the CQI of the broadband and a transmission prediction result, wherein the transmission prediction result is used for indicating the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment; determining a target MCS based on the MCS of the broadband, and determining a target RB based on the RB corresponding to the broadband; and transmitting the target RB and the target MCS to the user equipment through a downlink control channel, and performing data transmission with the user equipment by using the target RB and the target MCS.

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

By introducing the transmission prediction result and selecting a proper MCS-CQI mapping table based on the transmission prediction result, the user equipment can be configured with a MCS which meets the requirement of reliable transmission and has a larger MCS, so that the requirement of high reliability of the formulated data can be met with lower redundancy.

In one possible embodiment, determining the wideband MCS based on the wideband CQI and the transmission prediction includes:

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

And selecting a proper MCS-CQI mapping table through the transmission prediction result, and configuring the MCS meeting the reliable transmission requirement for the user equipment.

In one possible embodiment, the wideband includes M sub-bands, the CQI of the wideband includes CQIs of the M sub-bands, M is an integer greater than 1, and determining the MCS of the wideband based on the CQI of the wideband and the transmission prediction result includes:

when the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be larger than the preset probability based on the transmission prediction result, determining the MCS of the M sub-bands from a CQI-MCS mapping table corresponding to the third block error rate based on the CQI of the M sub-bands, and when the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be not larger than the preset probability based on the transmission prediction result, determining the MCS of the M sub-bands from the CQI-MCS mapping table corresponding to the fourth block error rate based on the CQI of the M sub-bands; wherein the third block error rate is higher than the fourth block error rate.

In one possible embodiment, the method of the present application further comprises:

determining a capacity of each of the M subbands based on the MCS for the M subbands; determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are arranged at the front in the order from large to small in the capacities of the M sub-bands, and the product of the minimum capacity and K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M; the target RB is a time-frequency resource corresponding to K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.

In one possible embodiment, the capacity of the M subbands is in descending order, the product of the minimum capacity of the top K-1 subbands and K-1 is smaller than the transmission required capacity of the user equipment, and the product of the minimum capacity of the top K subbands and K is not smaller than the transmission required capacity of the user equipment.

In the prior art, the MCS configured for the user equipment is limited to the minimum MCS among the MCSs of the multiple sub-bands, so that the total transmission capacity of the multiple sub-bands is limited to the minimum transmission capacity among the transmission capacities of the multiple sub-bands; in this embodiment, first, based on the transmission prediction result, a suitable MCS-CQI mapping table may be selected, which may meet the reliability requirement of the user equipment; the capacity of a plurality of sub-bands is sequenced, K sub-bands which are sequenced at the top are selected, wherein the product of the minimum capacity of the K sub-bands and K is not smaller than the transmission capacity of user equipment, and time-frequency resources corresponding to the K sub-bands and MCS corresponding to the sub-band with the minimum transmission capacity in the K sub-bands are configured to the user equipment.

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

inputting SNR/SINR information of time-frequency resources used by user equipment into a transmission prediction model for processing to obtain a transmission prediction result; the time-frequency resource used by the user equipment comprises a plurality of Resource Elements (RE), and the SNR/SINR information comprises SNR/SINR of the plurality of REs.

In one possible embodiment, the transmission prediction includes a probability that the data will be correctly received by the user equipment when the subsequent base station transmits the data to the user equipment,

or the first flag 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 the data to the user equipment is greater than the preset probability; when the first flag bit takes the value of the 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 the data to the user equipment is not greater than the preset probability.

In a third aspect, an embodiment of the present application further provides another resource allocation method, including:

receiving a channel reference signal sent by a base station; performing channel estimation according to the channel reference signal to obtain feedback information; the feedback information comprises wideband CQI which is obtained by the user equipment through channel estimation based on the channel reference signal; sending the feedback information to a base station so that the base station can determine a target RB and a target MCS which are allocated to user equipment based on the CQI of the broadband; and receiving 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 can configure the RB and MCS for the user equipment based on the broadband CQI obtained by the channel estimation result, so that on the basis of meeting the transmission requirement of the user equipment, the user equipment can be configured with higher MCS, and the requirements of high reliability and low time delay can be met at the cost of lower capacity loss.

In one possible embodiment, the wideband includes M subbands, and the CQI for the wideband includes CQIs for the M subbands.

In a possible embodiment, the feedback information further includes SNR/SINR information of a time-frequency resource used by the user equipment, so that the base station obtains a transmission prediction result based on the SNR/SINR information of the time-frequency resource used by the user equipment, where the transmission prediction result is used to indicate a probability that data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment; the SNR/SINR information of the time-frequency resource used by the user equipment is obtained by the user equipment through channel estimation based on the channel reference signal.

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

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

or the first flag 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 the data to the user equipment is greater than the preset probability; when the first flag bit value 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 the data to the user equipment.

By introducing the first flag bit of 1bit and representing 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 the data to the user equipment based on different values of the first flag bit, the transmission resource overhead can be reduced when the information is transmitted.

In a fourth aspect, an embodiment of the present application provides a base station, which includes means or module for performing the method of the first aspect or the second aspect.

In a fifth aspect, embodiments of the present application provide a user equipment, which includes a unit or module configured to perform the third aspect protection method.

In a sixth aspect, an embodiment of the present application provides a base station, including a processor and a memory, where the processor is connected to the memory, where the memory is used to store program codes, and the processor is used to call the program codes to execute part or all of the method of the first aspect or the second aspect.

In a seventh aspect, an embodiment of the present application provides a base station, including a processor and a memory, where the processor is connected to the memory, where the memory is used to store program codes, and the processor is used to call the program codes to execute part or all of the method in the first aspect or the second aspect.

In an eighth aspect, an embodiment of the present application provides a chip system, where the chip system is applied to an electronic device; the chip system comprises one or more interface circuits and one or more processors; the interface circuit and the processor are interconnected through a line; the interface circuit is configured to receive signals from a memory of the electronic device and to send signals to the processor, the signals including computer instructions stored in the memory; the electronic device performs the method of the first aspect or the second aspect or the third aspect when the processor executes the computer instructions.

In a ninth aspect, embodiments of the present application provide a computer storage medium storing a computer program, which is executed by a processor to implement the method of the first aspect, the second aspect or the third aspect.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of a system according to an embodiment of the present application;

fig. 3 is a flowchart of a resource allocation method according to an embodiment of the present application;

fig. 4 is a schematic diagram illustrating an exemplary arrangement of channel reference symbols according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a prediction model provided in an embodiment of the present application;

fig. 6 is a flowchart of another resource allocation method according to an embodiment of the present application;

fig. 7 is a flowchart of another resource allocation method according to an embodiment of the present application;

fig. 8 is an interactive flowchart of a resource allocation method according to an embodiment of the present application;

FIG. 9 is an interactive flowchart of another resource allocation method according to an embodiment of the present application;

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

fig. 11 is a schematic structural diagram of another base station according to an embodiment of the present 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 according to an embodiment of the present application;

fig. 14 is a schematic structural diagram of another user equipment according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

Referring to fig. 1, fig. 1 is a schematic view of an application scenario provided in 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 is further included;

the User Equipment (UE) 101, i.e. a device providing 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, palm computers, mobile Internet Devices (MID), internet of things devices, wearable devices (e.g., smartwatches, smartbands, pedometers), and the like;

the base station 102 may be a macro base station, a micro base station, a pico base station, a distributed base station, or other type of base station;

server 103 is a device that may be used for data storage and processing.

Before the ue 101 sends data to the bs 102, the bs 102 needs to configure resources for the ue 101; the base station 102 sends a channel reference signal to the user equipment 101, the user equipment performs channel estimation based on the channel reference signal, and sends CQI feedback information to the base station 102 based on a channel estimation result, the base station 102 determines RBs and MCSs configured for the user equipment 101 based on the CQI feedback information, optionally, the base station determines the RBs and MCSs configured for the user equipment 101 based on the CQI feedback information and a transmission prediction result, wherein the prediction result is used for indicating a probability that data is correctly sent when the subsequent user equipment sends the data to the base station; and transmits the RB and MCS to the user equipment 101 so that the user equipment 101 transmits data to the base station 102 using the RB and MCS.

Alternatively, the 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; the transmission prediction model is obtained by the user equipment 101 or the base station 102 from the server 103, and before that, the server 103 trains the obtained transmission prediction model. Optionally, the transmission prediction model is trained by the user equipment 101 or the base station 102.

Referring to fig. 2, a system architecture 200 is provided in an embodiment of the invention. The data collecting device 260 is configured to collect training data and store the training data in the database 230, where the training data includes information of time-frequency resources used by the user equipment 240 and a real transmission result, and the training device 220 generates the transmission prediction model 201 based on the training data maintained in the database 230. In the following, it will be described in more detail how the training device 220 obtains the transmission prediction model 201 based on the training data, and the transmission prediction model 201 can obtain a prediction result representing the probability that the data is correctly transmitted when the user equipment 240 transmits the data to the base station, and the subsequent base station can configure resources for the user equipment based on the prediction result.

The operation of each layer in the deep neural network can be expressed mathematically

To describe: from the work of each layer in the physical-level deep neural network, it can be understood that the transformation of the input space into the output space (i.e. the row space to the column space of the matrix) is accomplished by five operations on the input space (set of input vectors), which include: 1. ascending/descending dimensions; 2. zooming in/out; 3. rotating; 4. translating; 5. "bending". Wherein 1, 2, 3 are operated by

Finish, operation 4 is performed by

The operation of 5 is completed by a (). Here, the space is used as a Chinese character' twoThis is expressed because the object being classified is not a single thing, but a class of things, and space refers to the set of all individuals of such things. Where W is a weight vector, each value in the vector representing a weight value for a neuron in the layer of neural network. The vector W determines the spatial transformation of the input space into the output space described above, i.e. 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 (the weight matrix formed by the vectors W of a plurality of layers) of all the layers of the trained neural network. Therefore, the training process of the neural network is essentially a way of learning the control space transformation, and more specifically, the weight matrix.

Because it is desirable that the output of the deep neural network is as close as possible to the value actually desired to be predicted, the weight vector of each layer of the neural network can be updated by comparing the predicted value of the current network with the value actually desired to be predicted, and then updating the weight vector according to the difference between the predicted value and the value actually desired (of course, there is usually an initialization process before the first update, that is, parameters are configured in advance for each layer in the deep neural network). Therefore, it is necessary to define in advance "how to compare the difference between the predicted value and the target value", which are loss functions (loss functions) or objective functions (objective functions), which are important equations for measuring the difference between the predicted value and the target value. Taking the loss function as an example, if the higher the output value (loss) of the loss function indicates the greater the difference, the training of the deep neural network becomes a process of reducing the loss as much as possible.

The transmission prediction model 201 obtained by the training apparatus 220 may be applied to different systems or apparatuses. In fig. 2, the execution device 210 is configured with an I/O interface 212 to interact with external devices and a "user" may input data to the I/O interface 212 via a user device 240.

The execution device 210 may call data, code, etc. from the data storage system 250 and may store data, instructions, etc. in the data storage system 250.

The calculation module 211 processes input data by using the transmission prediction model 201, where the input data includes SNR information of a time-frequency resource used by the user equipment 240, and the calculation module 211 processes the SNR information of the time-frequency resource used by the user equipment 240 by using the transmission prediction model 201 to obtain a transmission prediction result; the subsequent base station configures the resource for the user equipment 240 based on the transmission prediction result to obtain a resource configuration result. The step of processing the SNR information of the time-frequency resource used by the ue 240 by using the transmission prediction model 201 to obtain the transmission prediction result may be performed by the ue 240 or performed by the base station, that is, the calculating module 211 may be located in the ue 240 or located in the base station as shown in fig. 2. The execution apparatus 210 depicted in fig. 2 may be regarded as a base station.

Finally, the I/O interface 212 returns the resource configuration results to the user device 240 for presentation to the user.

In the case shown in FIG. 2, the user may manually specify data to be input into the execution device 210, for example, to operate in an interface provided by the I/O interface 212. Alternatively, the user device 240 may automatically input data to the I/O interface 212 and obtain the results, and if the user device 240 automatically inputs data to obtain the user's authorization, the user may set corresponding permissions in the user device 240. The user can view the result output by the execution device 210 at the user device 240, and the specific presentation form may be a display, a sound, an action, and the like. The ue 240 may also be used as a data collection end to store the collected time-frequency resource information and the real prediction result used by the ue in 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 position relationship between the devices, modules, etc. shown in the diagram does not constitute any limitation, for example, in fig. 2, the data storage system 250 is an external memory with respect to the execution device 210, and in other cases, the data storage system 250 may also be disposed in the execution device 210.

The following describes embodiments of the present application in detail.

Referring to fig. 3, fig. 3 is a schematic flowchart of a resource allocation method according to an embodiment of the present disclosure. As shown in fig. 3, the method includes:

s301, the base station sends a channel reference signal to the user equipment.

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

In one example, the base station sends the data which needs to be transmitted to the user equipment based on the RB and MCS determined before the RB and MCS.

In one example, before the base station transmits the channel reference signal to the user equipment, the base station transmits configuration information to the user equipment, wherein the configuration information comprises Channel Quality Indication (CQI) feedback mode information, the CQI feedback mode information is used for indicating that the user equipment is to report a CQI type to the base station, and the CQI feedback mode information is also used for indicating that the CQI information to be fed back is CQI information of a subband which should be reported; in addition, the configuration information further includes, but is not limited to, CQI feedback period, offset information, interference measurement resource information, and the like.

The method includes that the user equipment performs channel estimation based on a channel reference signal (such as a CSI-RS) and the like, and specifically includes that the user equipment performs channel estimation based on CSI-RS configuration information (such as CSI-RS setting) contained in the configuration information, identifies the number of ports used for sending the CSI-RS, sends the timing and resource position of each CSI-RS, and obtains SNR/SINR through part or all of sequence signals and power control information; according to the modulation mode, code rate and transport block length corresponding to the CQI value set by Table5.2.2.1-2, table5.2.2.1-3 and Table5.2.2.1-4 in 3GPP TS-38.214, a relation curve between the block error rate and SNR/SINR and MCS is obtained based on simulation or actual measurement, and under the condition of meeting the requirement of the target block error rate (0.1 or 0.00001), the mapping relation between the CQI and the SNR/SINR is obtained. In this way, CQIs for M subbands may be obtained.

The MCS index Table under one transmission configuration in 3GPP TS-38.214 is configured as the following Table 1 (Table 5.1.3.1-1.

TABLE 1

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

The first feedback information includes CQIs of M subbands, where the CQIs of the M subbands are obtained by performing channel estimation based on a channel reference signal by user equipment, and a specific process refers to the related 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 noted that the CQIs of the M subbands included in the first feedback information may specifically be CQIs themselves, and may also be CQI indexes.

S303, the base station determines the first MCS of the M sub-bands based on the CQI of the M sub-bands.

Specifically, the base station determines a second MCS of M sub-bands from a CQI-MCS mapping table corresponding to the first block error rate based on CQIs or CQI indexes of the M sub-bands, where the second MCS of the M sub-bands is the first MCS of the M sub-bands.

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

The CQI-MCS mapping table with a block error rate of 0.1 may be as shown in table 2 below, or as shown in table 3 below:

TABLE 2

TABLE 3

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

the base station acquires a transmission prediction result, wherein the transmission prediction result is used for representing the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment; if the probability that the data is correctly received by the user equipment is greater than the preset probability when the follow-up base station sends the data to the user equipment based on the transmission prediction result, the second MCS of the M sub-bands is the first MCS of the M sub-bands; and if the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be not more than the preset probability based on the transmission prediction result, determining a third MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a second block error rate based on the CQIs or the CQI indexes of the M sub-bands, wherein the third MCS of the M sub-bands is a first MCS of the M sub-bands, and the second MCS is lower than the third MCS.

The preset probability may be a preset number, and may be set according to a success rate requirement of the system for data transmission, or a current service type, and a scenario of network usage. For example, the Internet of things (IoT) needs a high one-time transmission success rate, and the preset probability may be set to 0.99999 at this time, and for example, the video transmission one-time transmission success rate is not lower than 0.9 at this time, and the preset probability may be set to 0.9 at this time. A typical preset probability is 0.9.

When the probability that the data is correctly received by the user equipment is greater than the preset probability when the follow-up base station sends the data to the user equipment is determined based on the transmission prediction result, the quality of a channel is good, and therefore the MCS with high block error rate can be adopted for data transmission, and the data transmission amount can be improved; when the probability that the data is correctly received by the user equipment is not more than the preset probability when the follow-up base station sends the data to the user equipment is determined based on the transmission prediction result, the quality of a channel is poor, and therefore the data transmission is carried out by adopting the MCS with the low block error rate, the data transmission accuracy can be improved, and the anti-interference capability is improved.

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

The CQI-MCS mapping table with a block error rate of 0.00001 may be as shown in table 4 below:

TABLE 4

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

In an alternative embodiment, the base station trains the transmission prediction model based on the training data, or obtains the transmission prediction model from other training devices (e.g., server 103 in fig. 1).

The training of the transmission prediction model may be performed off-line, and the parameters of the transmission prediction model are obtained by acquiring relevant data in advance and stored in the user equipment/base station. The specific training process can be performed on the training device or can be completed on the base station.

The training data comprises SNR/SINR samples of time-frequency resources used by the user equipment and known transmission results, wherein the known transmission results comprise correct reception of the user equipment or wrong reception of the user equipment; the user equipment reception is indicated by 1 and the user equipment reception error is indicated by 0.

The user equipment performs channel estimation to obtain the SNR of the time-frequency resource used by the user equipment, wherein the time-frequency resource used by the user equipment comprises a plurality of REs, the SNR of the time-frequency resource comprises the SNR of the REs, the form of the SNR of the time-frequency resource comprises a two-dimensional matrix, which is marked as X, and the dimension of the two-dimensional matrix is the time domain symbol number multiplied by the frequency domain subcarrier number; then averaging based on SNR of a plurality of REs to obtain average SNR; determining a CQI corresponding to the average SNR based on the average SNR and an SNR-CQI mapping table, and feeding the CQI 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 sending data (or frame) to the user equipment based on the MCS and the RB corresponding to the time-frequency resource used by the user equipment; the user equipment records a corresponding output label Y based on whether the subsequent data is correctly received or not, and if the data is correctly received by the user equipment, the output label is 1; if the data is received by the user equipment in error, the output label is 0; the output tag is the known transmission result.

Training data can be obtained in the above manner; after the training data is obtained, the training can be performed as follows:

and training a neural network (such as a convolutional neural network) or other classifiers based on the input data X and the output labels Y to obtain a transmission prediction model.

Fig. 4 illustrates a typical channel reference symbol arrangement, wherein each gray square in fig. 4 represents the SNR of one RE, and it is known that one RB includes 12 REs; for example, two RBs are allocated to the user equipment, and as shown in fig. 5, for a single RB, the dimension of X is 12 × 1, the network result is activated by a sigmoid function after linear weighting, then the outputs of all RBs are input to the second layer, and the network result is activated after linear weighting, so that a transmission prediction result is obtained.

In the process of weight calculation, a cross entropy loss function can be adopted, and then an Adam algorithm is adopted for optimization solution, so that network parameters, namely parameters of a transmission prediction model, are obtained.

The cross entropy loss function is commonly used for classification, and in the case of two classifications, the final result to be predicted by the model is only one: probability of correct reception of data by the user equipment.

The cross entropy loss function can be expressed as:

wherein, y _i An output label corresponding to the data i is represented and can be 0 or 1; p is a radical of _i Representing the probability of the predicted data i being correctly received by the user equipment; 1-p _i Representing the probability of the prediction data i being received erroneously by the user equipment.

It should be noted that the above-mentioned process is an offline training process, and is performed in a training device (e.g. the server 103 in fig. 1), and may also be performed at the base station.

The online training process is described below:

the user equipment downloads the trained transmission prediction model from a training device (such as the server 103 shown in fig. 1); the user equipment performs channel estimation to obtain the SNR of the time-frequency resource used by the user equipment, the time-frequency resource used by the user equipment comprises a plurality of REs, the SNR of the time-frequency resource comprises the SNR of the plurality of REs, and the SNR is in the form of a one-dimensional vector (the dimensionality is equal to the total RE number) and is marked as X; then averaging based on SNR of a plurality of REs to obtain average SNR; determining CQI corresponding to the average SNR based on the average SNR and an SNR-CQI mapping table; the user equipment inputs the X into the transmission prediction model for processing to obtain the probability that the data is correctly received by the user equipment when a subsequent base station sends the data to the user equipment; 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 the label corresponding to the average SNR to the base station, wherein 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 obtains the MCS corresponding to the CQI from the CQI-MCS mapping table corresponding to the low block error rate based on the CQI corresponding to the average SNR; then sending data to the user equipment based on the MCS corresponding to the CQI; the user equipment records the X and a label used for indicating whether the user equipment correctly receives the data sent by the base station; the user device may optionally transmit the recorded data back to the training device for the training device to further train the predictive model based on the data transmitted by the user device, thereby improving the accuracy of the predictive model.

In an alternative embodiment, the user equipment obtains the transmission prediction model from a training device (e.g., the server 103 in fig. 1), or the user equipment performs training based on training data to obtain the transmission prediction model; the training process can be referred to the above related description, and is not described here.

The user equipment estimates the channel to obtain SNR/SINR of the time-frequency resource used by the user equipment, inputs the SNR/SINR of the time-frequency resource used by the user equipment into a transmission prediction model for processing to obtain a transmission prediction result, and transmits the transmission prediction result to the base station by carrying the transmission prediction result on the first feedback information.

The transmission prediction result has two forms:

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

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

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

S304, the base station determines a target RB and a target MCS based on the first MCS of the M sub-bands and the transmission requirement capacity of the user equipment.

In an optional embodiment, the determining the target RB and the target MCS based on the first MCS of the M subband and the transmission required capacity of the user equipment includes:

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

determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are arranged at the front in the order from large to small in the capacities of the M sub-bands, and the product of the minimum capacity and K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M; the target RB is a time-frequency resource corresponding to K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.

Specifically, the base station calculates the capacity of each sub-band according to the value of MCS of each sub-band in the M sub-bands, wherein the capacity of the sub-band is the maximum bit number which can be transmitted by the sub-band, and the capacity of the sub-band is the product of the number of usable REs of the sub-band and the efficiency corresponding to the MCS of the sub-band; the base station sequences the M sub-band capacities in a descending order to obtain the sequenced sub-band capacities; wherein the total capacity C of the K sub-band transmissions in the top order _K ＝KR _K (ii) a Wherein R is _K The capacity of the K sub-band which is ranked at the front in the ranked sub-band capacities; the base station calculates a K value according to the transmission required capacity C of the user equipment; wherein the K value satisfies the condition: total capacity C of K subband transmissions in the top order _K Greater than or equal to the transmission demand capacity C of the user equipment; the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to the sub-band with the minimum capacity in the K sub-bands.

Further, the smallest capacity of the capacities of the top K-1 sub-bands is multiplied by K-1 according to the descending order in the capacities of the M sub-bandsThe product is smaller than the transmission required capacity of the user equipment, and the product of the minimum capacity in the capacities of the K sub-bands ranked at the top and K is not smaller than the transmission required capacity of the user equipment; that is to say that the condition is satisfied: total capacity C of K subband transmissions in the top order _K The value of K is the smallest, which is greater than or equal to the transmission required capacity C of the user equipment.

In particular, the total capacity C based on the K sub-band transmissions ordered top _K ＝KR _K Starting from 1, the minimum K value is found, so that C _K Not less than C, and C _K-1 <C; after the minimum K value is determined, the target RB is a time-frequency resource corresponding to K subbands, and the target MCS is a MCS corresponding to the K-th subband after sequencing.

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

It should be noted that the target RB transmitted by the base station to the user equipment is the number of RB.

After the base station sends the target RB and the target MCS to the user equipment through the downlink control channel, the base station distributes the target RB to the user equipment, and the target MCS is adopted on the target RB to send data to the user equipment; and after receiving the target RB and the target MCS, the user equipment receives the data sent by the base station on the target RB by adopting the target MCS.

For example, assume that there are 10 sub-bands whose capacities are 10,9,8, \8230; \82302,1, from high to low, and time-frequency resources are uniformly distributed; determining that the target MSC is an MCS of a subband with a capacity of 5 according to the method in this embodiment, and the target RB is a time-frequency resource corresponding to 5 subbands with capacity ranked first, where the capacity corresponding to the 5 subbands is 5 × 6=30; in the existing manner, the transmission capacity of the 10 subbands is affected by the capacity of the smallest subband in the 10 subbands, and at this time, the total capacity corresponding to the 10 subbands is 10 × 1=10, and it can be seen that the total capacity determined by using the scheme of the present application is 3 times that in the prior art.

It can be seen that, by sorting the capacities of the multiple subbands and selecting K subbands ranked at the top, where a product of the minimum capacity of the K subbands and K is not less than the transmission capacity of the user equipment, time-frequency resources corresponding to the K subbands and an MCS corresponding to a subband of the minimum transmission capacity in the K subbands are configured to the user equipment. The transmission result is predicted based on the SINR time-frequency distribution two-dimensional vector diagram (as shown in fig. 4), and only the transmission frame (or transmission data) with high probability of error is transmitted with reduced MCS based on the transmission prediction result, while the transmission frame with low probability of error is maintained with unchanged MCS.

The essence of the high reliability challenge of URLLC is to cope with the long tail situation of the packet loss event, and reducing the MCS of the whole transmission cycle in order to prevent the block error rate of 10% or 1% that may occur may cause a great waste of resources. In order to avoid such a situation, a flowchart of a resource allocation method provided in the embodiment of the present application is schematically illustrated. As shown in fig. 6, the method includes:

s601, the base station sends a channel reference signal to the user equipment.

S602, the base station receives second feedback information sent by the user equipment, wherein the second feedback information comprises a broadband CQI.

It should be noted that specific processes of S601 and S602 can be referred to the related descriptions of S301 and S302, and are not described herein.

S603, the base station determines the MCS of the broadband based on the CQI of the broadband and the transmission prediction result.

In an alternative embodiment, determining the wideband MCS based on the wideband CQI and the transmission prediction includes:

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

Alternatively, 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. Wherein, the third block error rate can be the same as or different from the first block error rate; the fourth block error rate may be the same as or different from the second block error rate.

S604, the base station determines a target MCS based on the MCS of the broadband, and determines a 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 wideband, and the target MCS is an MCS of the wideband.

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

when the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be larger than the preset probability based on the transmission prediction result, determining the MCS of each sub-band in the M sub-bands from a CQI-MCS mapping table corresponding to the third block error rate based on the CQIs of the M sub-bands, and when the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment is determined to be not larger than the preset probability based on the transmission prediction result, determining the MCS of each sub-band in the M sub-bands from a CQI-MCS mapping table corresponding to the fourth block error rate based on the CQIs of the M sub-bands; wherein the third block error rate is higher than the fourth block error rate.

Further, the method of this embodiment further includes:

determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are ranked in the top order from the largest to the smallest in the capacities of the M sub-bands, and the product of the minimum capacity and the K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M; the target RB is a time-frequency resource corresponding to K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.

Specifically, the base station calculates the capacity of each sub-band according to the value of MCS of each sub-band in the M sub-bands, wherein the capacity of the sub-band is the maximum bit number which can be transmitted by the sub-band, and the capacity of the sub-band is the product of the number of usable REs of the sub-band and the efficiency corresponding to the MCS of the sub-band; the base station sequences the M sub-band capacities in a descending order to obtain the sequenced sub-band capacities; wherein, the total capacity C of the K sub-band transmission in the front order _K ＝KR _K (ii) a Wherein R is _K The capacity of the Kth sub-band in the front order in the capacity of the sub-bands after the order; the base station calculates a K value according to the transmission demand capacity C of the user equipment; wherein the K value satisfies the condition: total capacity C of K subband transmissions in the top order _K Greater than or equal to the transmission demand capacity C of the user equipment; the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to the sub-band with the minimum capacity in the K sub-bands.

Further, in the capacities of the M subbands, according to the descending order, the product of the minimum capacity of the capacities of the K-1 subbands ranked top and K-1 is smaller than the transmission required capacity of the user equipment, and the product of the minimum capacity of the capacities of the K subbands ranked top and K is not smaller than the transmission required capacity of the user equipment; that is to say that the condition is satisfied: total capacity C of K sub-band transmission in front _K The value of K is the smallest, which is greater than or equal to the transmission required capacity C of the user equipment.

In particular, the total capacity C based on the K sub-band transmissions ordered top _K ＝KR _K Starting from 1, the minimum K value is found, so that C _K Not less than C, and C _K-1 <C; after the minimum K value is determined, the target RB is a time-frequency resource corresponding to K subbands, and the target MCS isAnd the MCS corresponding to the K sub-band is sorted.

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

inputting SNR/SINR information of time-frequency resources used by user equipment into a transmission prediction model for processing to obtain a transmission prediction result; the time-frequency resource used by the user equipment comprises a plurality of REs, and the SNR/SINR information comprises SNR/SINR of the plurality of REs.

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

The transmission prediction result has two forms:

S605, the base station sends the target RB and the target MCS to the user equipment, and performs data transmission with the user equipment by using the target RB and the target MCS.

It should be noted that the base station transmits the target RB and the target MCS to the user equipment through the downlink control channel.

For example, assume that the capacity of the high MCS is 10x for an error rate of 0.1 and x for a low MCS for an error rate of 0.0001. Calculating capacity gains brought by different prediction accuracy rates, wherein the prediction accuracy rate is a ratio of transmission accuracy and prediction accuracy:

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

the predicted accuracy is 50%, and the capacity is 0.5 × 10x +0.5 × x =5.5x;

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

are higher than the prior art capacity x.

It can be seen that, in the solution of this embodiment, a transmission prediction model is introduced to predict the transmission result of data, so as to determine the quality of a channel, when it is determined that the probability that the data sent by a base station to a user equipment is correctly received is greater than a preset probability, that is, the channel quality is good, an MCS is determined by using a CQI-MCS mapping table with a high block error rate, and the data transmission using the MCS can improve the data amount of transmission; when the probability that the data sent to the user equipment by the base station is correctly received by the user equipment is determined to be not more than the preset probability, namely the quality of a channel is poor, the MCS is determined through the CQI-MCS mapping table with the low block error rate, and on the basis of meeting the transmission requirement of the user equipment, the MCS is utilized for data transmission, so that the requirement of high reliability and low time delay can be met under the condition of low capacity loss cost, and the anti-interference capability is improved.

Referring to fig. 7, fig. 7 is a schematic flowchart of a resource allocation method according to an embodiment of the present application. As shown in fig. 7, the method includes:

s701, the user equipment receives a channel reference signal sent by a base station.

Alternatively, the channel reference signal may be a CSI-RS, a DM-RS, a PT-RS, or the like.

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

In one example, before the user equipment receives the channel reference signal transmitted by the base station, the user equipment also receives configuration information transmitted by the base station, wherein the configuration information comprises CQI feedback mode information which is used for indicating that the user equipment is to report the CQI type to the base station, and the CQI feedback mode information is also used for indicating that the CQI information to be fed back is the CQI information of a sub-band which should be reported; in addition, the configuration information further includes, but is not limited to, CQI feedback period, offset information, interference measurement resource information, and the like.

The method includes that the user equipment performs channel estimation based on a channel reference signal (such as a CSI-RS) and the like, and specifically includes that the user equipment performs channel estimation based on CSI-RS configuration information (such as CSI-RS setting) contained in the configuration information, identifies the number of ports used for sending the CSI-RS, sends the timing and resource position of each CSI-RS, and obtains SNR/SINR through part or all of sequence signals and power control information; according to the modulation mode, code rate and transport block length corresponding to the CQI value set by Table5.2.2.1-2, table5.2.2.1-3 and Table5.2.2.1-4 in 3GPP TS-38.214, a relation curve between the block error rate and the SNR/SINR is obtained based on simulation or actual measurement, and under the condition of meeting the requirement of a target block error rate (0.1 or 0.00001), the highest CQI value under the SNR/SINR obtained by channel estimation is selected, wherein the CQI is the broadband CQI.

The MCS index table configuration in one transmission configuration of 3GPP TS-38.214 is shown in table 1.

In an alternative embodiment, the wideband includes M subbands, and the CQI for the wideband includes CQIs for the M subbands. CQI of M subbands may be obtained as described above.

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

In an optional embodiment, the feedback information further includes SNR/SINR information of a time-frequency resource used by the user equipment, so that the base station obtains a transmission prediction result based on the SNR/SINR information of the time-frequency resource used by the user equipment, where the transmission prediction result is used to indicate a probability that data is correctly received by the user equipment when a subsequent base station sends the data to the user equipment; and 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, where the transmission prediction result is used to indicate a probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment; the method of the embodiment further comprises the following steps:

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

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

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

or the first flag 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 the data to the user equipment is greater than the preset probability; and when the first flag bit value 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 the data to the user equipment.

Specifically, there are two forms of transmitting the prediction results, including:

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

When the first flag bit is used for indicating whether the probability that the data is correctly received by the user equipment is greater than the preset probability or not when the subsequent base station sends the data to the user equipment, the 1bit in the first feedback message is used for bearing the value of the first flag bit, so that the transmission prediction result is transmitted to the base station in the mode.

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

It should be noted that the target RB transmitted by the base station to the user equipment is specifically the number of RB, and the target MCS is the value of this MCS. And the base station sends the target RB and the target MCS to the user equipment through a downlink control channel.

Referring to fig. 8, fig. 8 is an interactive flowchart of a communication method according to an embodiment of the present application. As shown in fig. 8, the method includes:

s801, the base station sends configuration information to the user equipment.

Wherein the configuration information comprises CQI feedback mode information, the CQI feedback mode information is used for indicating that the user equipment reports the CQI type to the base station, and the CQI feedback mode information is also used for indicating that the CQI information to be fed back is the CQI information of the sub-band which should be reported; in addition, the configuration information further includes, but is not limited to, CQI feedback period, offset information, interference measurement resource information, and the like.

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

The channel reference signal may be a CSI-RS, a DM-RS, a 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 a CSI-RS, etc.), specifically including the user equipment performing channel estimation based on CSI-RS configuration information (such as CSI-RS settings) included in the configuration information, identifying the number of ports used for transmitting the CSI-RS, transmitting the timing and resource location of each CSI-RS, a sequence signal, and part or all of power control information, to obtain an SNR/SINR; according to the modulation mode, code rate and transmission block length corresponding to the CQI value set by Table5.2.2.1-2, table5.2.2.1-3 and Table5.2.2.1-4 in 3GPP TS-38.214, a relation curve between the block error rate and the SNR/SINR is obtained based on simulation or actual measurement, and under the condition of meeting the requirement of a target block error rate (0.1 or 0.00001), the highest CQI value under the SNR/SINR obtained by channel estimation is selected, wherein the CQI is the CQI of a sub-band. In this way, CQIs for M subbands may be obtained.

The MCS index Table configuration in one transmission configuration in 3GPP TS-38.214 is as shown in Table 1 (Table 5.1.3.1-1.

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

The CQI feedback information includes, but is not limited to, CQI indexes of M subbands. The sub-band CQI feedback information is information related to a downlink channel state.

S805, the base station determines a target RB and a target MCS according to the sub-band CQI feedback information and the transmission required capacity of the user equipment.

Specifically, the base station obtains the maximum MCS level required by the corresponding block error rate under the corresponding sub-band CQI from the CQI-MCS mapping table according to the M CQI indexes carried in the received CQI feedback information, where the maximum MCS level is the MCS value of the sub-band.

The CQI-MCS mapping table may be a CQI-MCS mapping table defined by the 5G standard and having an error rate of 0.00001, and the CQI-MCS mapping table is shown in table5.

The base station calculates the capacity of each sub-band according to the value of MCS of each sub-band in the M sub-bands, wherein the capacity of the sub-band is the maximum bit number which can be transmitted by the sub-band, and the capacity of the sub-band is the product of the number of usable REs of the sub-band and the corresponding efficiency of the MCS of the sub-band; the base station sequences the M sub-band capacities in a descending order to obtain the sequenced sub-band capacities; wherein, the total capacity C of the K sub-band transmission in the front order _K ＝KR _K (ii) a Wherein R is _K The capacity of the K sub-band which is ranked at the front in the ranked sub-band capacities; the base station calculates a K value according to the transmission required capacity C of the user equipment; wherein the K value satisfies the condition: total capacity C of K sub-band transmission in front _K Greater than or equal to the transmission demand capacity C of the user equipment; the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to the sub-band with the minimum capacity in the K sub-bands.

Further, in the capacities of the M subbands, according to the descending order, the product of the minimum capacity of the capacities of the K-1 subbands ranked top and K-1 is smaller than the transmission required capacity of the user equipment, and the product of the minimum capacity of the capacities of the K subbands ranked top and K is not smaller than the transmission required capacity of the user equipment; that is to say that the condition is satisfied: total capacity C of K subband transmissions in the top order _K The value of K is the smallest, which is greater than or equal to the transmission required capacity C of the user equipment.

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

It should be noted that the descriptions of S801 to S906 can be referred to the description of the embodiments shown in fig. 3 and fig. 7, and will not be described here. And the base station sends the target RB and the target MCS to the user equipment through a downlink control channel.

Specifically, after transmitting a target RB and a target MCS to user equipment through a downlink control channel, a base station allocates the target RB for the user equipment, and transmits data to the user equipment on the target RB by adopting the target MCS; and after receiving the target RB and the target MCS, the user equipment receives the data sent by the base station on the target RB by adopting the target MCS.

It can be seen that, in the scheme of the embodiment of the present application, the subband capacities are calculated by using the subband MCS, and the method for obtaining the minimum number of subbands meeting the user requirement according to the subband capacity ordering method can avoid the situation that the whole configuration is limited to the worst channel based on the wideband CQI and the preset MCS, compared with the traditional method for selecting the RB based on the wideband CQI and the MCS, thereby greatly reducing the capacity loss caused by the situation.

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

s901, the base station sends a channel reference signal to the user equipment.

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

It is to be noted that, 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 CQI feedback mode information, the CQI feedback mode information is used to indicate that the user equipment includes a CQI type to the base station, the CQI feedback mode information is also used to indicate that the CQI information to be fed back is CQI information of a subband that should be reported, and the configuration information further includes, but is not limited to, a CQI feedback period, offset information, interference measurement resource information, and the like.

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

The method includes that the user equipment carries out channel estimation based on a channel reference signal (such as CSI-RS) and the like, and specifically comprises that the user equipment carries out channel estimation based on CSI-RS configuration information (such as CSI-RS setting) contained in configuration information, identifies the number of ports used for sending the CSI-RS, sends the timing and resource position of each CSI-RS, and partially or completely carries out SNR/SINR; according to the modulation mode, code rate and transport block length corresponding to the CQI value set by Table5.2.2.1-2, table5.2.2.1-3 and Table5.2.2.1-4 in 3GPP TS-38.214, a relation curve between the block error rate and the SNR/SINR is obtained based on simulation or actual measurement, and under the condition of meeting the requirement of a target block error rate (0.1 or 0.00001), the highest CQI value under the SNR/SINR obtained by channel estimation is selected, wherein the CQI is the CQI of a sub-band. In this way, CQIs for M subbands may be obtained.

S903, the user equipment predicts the subsequent transmission result based on SNR/SINR of the time frequency resource used by the user equipment to obtain a transmission prediction result.

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

Specifically, the user equipment inputs SNR/SINR of the time-frequency resource used by the user equipment into a 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 comprises the probability that the data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment, or;

In a possible embodiment, the method of this embodiment further includes obtaining a transmission prediction model, which may be obtained by on-line training or off-line training. The specific training process can be referred to the related description of the embodiment shown in fig. 3, and will not be described here.

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

Wherein, the transmission prediction result can be carried in the CQI feedback information and sent together.

Optionally, the CQI feedback information includes wideband CQI, and since the transmission prediction result 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 may be performed by the base station, the CQI feedback information may further include the SNR/SINR of the time-frequency resource used by the user equipment.

S905, the base station determines whether the transmission prediction result represents that the transmission is successful.

It should be noted that successful transmission means that the probability that the data is correctly received by the ue is greater than a preset probability when the subsequent base station sends the data to the ue; the transmission failure means that the probability that the data is correctly received by the user equipment is not greater than a preset probability when the subsequent base station sends the data to the user equipment.

Specifically, if the base station determines that the transmission prediction result indicates that the transmission is successful, S906 and S907 are performed; if the base station determines that the transmission prediction result indicates a transmission failure, S908 and S909 are performed.

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

And S907, the base station sends the RB and MCS1 corresponding to the broadband to the user equipment.

Specifically, after transmitting the RB and MCS1 corresponding to the wideband to the user equipment through the downlink control channel, the base station allocates the RB corresponding to the wideband to the user equipment, and transmits data to the user equipment on the RB corresponding to the wideband by using MCS1; and after receiving the RB and MCS1 corresponding to the broadband, the user equipment receives the data sent by the base station on the RB corresponding to the broadband by adopting MCS1.

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

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

Specifically, after transmitting the RB and MCS2 corresponding to the wideband to the user equipment through the downlink control channel, the base station allocates the RB corresponding to the wideband to the user equipment, and transmits data to the user equipment on the RB corresponding to the wideband by using MCS 2; and after receiving the RB and MCS2 corresponding to the broadband, the user equipment receives the data sent by the base station on the RB corresponding to the broadband by adopting MCS2.

It should be noted that, the base station sends the RB and MCS corresponding to the wideband to the ue through the downlink control channel.

In an alternative embodiment, the wideband includes M subbands, M is an integer greater than 1, and the CQI of the wideband includes CQIs of the M subbands; if the base station determines that the transmission prediction result indicates successful transmission, the base station determines MCS1 of each sub-band in the M sub-bands from a CQI-MCS mapping table with high block error rate according to the CQI of the M sub-bands; and if the base station determines that the transmission prediction result indicates transmission failure, the base station determines MCS1 of each sub-band in the M sub-bands from the CQI-MCS mapping table with low block error rate according to the CQI of the M sub-bands.

After determining MCS (MCS 1 or MCS 2) of each sub-band in the M sub-bands, the base station calculates the capacity of each sub-band according to the value of MCS (MCS 1 or MCS 2) of each sub-band in the M sub-bands, wherein the capacity of the sub-band is the maximum bit number which can be transmitted by the sub-band, and the capacity of the sub-band is the product of the number of usable REs of the sub-band and the efficiency corresponding to MCS (MCS 1 or MCS 2) of the sub-band; the base station sorts the M sub-band capacities in a descending order to obtain the sorted sub-band capacities; wherein the total capacity C of the K sub-band transmissions in the top order _K ＝KR _K (ii) a Wherein R is _K The capacity of the Kth sub-band in the front order in the capacity of the sub-bands after the order; the base station calculates a K value according to the transmission demand capacity C of the user equipment; wherein the K value satisfies the condition: total capacity C of K subband transmissions in the top order _K Greater than or equal to the transmission demand capacity C of the user equipment; the RB corresponding to the wideband is a time-frequency resource corresponding to K subbands, and the MCS (MCS 1 or MCS 2) is an MCS (MCS 1 or MCS 2) corresponding to a smallest subband among the K subbands.

Further, in the capacities of the M subbands, according to the descending order, the product of the minimum capacity of the capacities of the K-1 subbands ranked top and K-1 is smaller than the transmission required capacity of the user equipment, and the product of the minimum capacity of the capacities of the K subbands ranked top and K is not smaller than the transmission required capacity of the user equipment; that is to say that the condition is satisfied: total capacity C of K sub-band transmission in front _K The value of K, which is greater than or equal to the transmission required capacity C of the user equipment, is minimal. And the base station sends the time-frequency resources corresponding to the K subbands and MCS (MCS 1 or MCS 2) corresponding to the K-th subband to the user equipment.

It should be noted that the descriptions of S901-S909 can refer to the descriptions related to the embodiments shown in fig. 3, fig. 6 and fig. 7, and will not be described herein.

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

a transmitting unit 1001 configured to transmit a channel reference signal to a user equipment;

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

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

the transmitting unit 1001 is further configured to transmit the target RB and the target MCS to the user equipment, and perform data transmission with the user equipment using the target RB and the target MCS.

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

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

and determining a first MCS of the M sub-bands from a CQI-MCS mapping table corresponding to the first block error rate based on the CQI of the M sub-bands.

In a possible embodiment, if the first block error rate is higher than the predetermined 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 a probability that data is correctly received by the user equipment when a subsequent base station sends the data to the user equipment;

if it is determined that the probability is not greater than the preset probability based on the transmission prediction result, in terms 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:

and determining a first MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a second block error rate based on the CQIs of the M sub-bands, wherein the second block error rate is lower than the first block error rate.

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

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

The units (transmitting unit 1001, receiving unit 1002, determining unit 1003, and obtaining unit 1004) are configured to execute the relevant steps of the method. For example, the transmitting unit 1001 is configured to execute the relevant content of S301 and S305, the receiving unit 1002 is configured to execute the relevant content of S302, and the determining unit 1003 and the obtaining unit 1004 are configured to execute the relevant content of steps S303 and S304.

In the present embodiment, the base station 1000 is presented in the form of a unit. "unit" herein may refer to an application-specific integrated circuit (ASIC), a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. Further, the above determining unit 1003 and the obtaining unit 1004 may be realized 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 fig. 11, the base station 1100 includes:

a transmitting unit 1101, configured to transmit a channel reference signal to a 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, and the wideband CQI is obtained by performing channel estimation on the user equipment based on a channel reference signal;

a determining unit 1103, configured to determine an MCS of a wideband based on the CQI of the wideband and a transmission prediction result, where the transmission prediction result is used to indicate a probability that data is correctly received by a user equipment when a subsequent base station transmits the data to the user equipment; determining a target MCS based on the MCS of the broadband, and determining a target RB based on the RB corresponding to the broadband;

the transmitting unit 1101 is further configured to transmit the target RB and the target MCS to the user equipment, and perform data transmission with the user equipment using the target RB and the target MCS.

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

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

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

determining a capacity of each of the M subbands based on the MCS for the M subbands; determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are ranked in the top order from the largest to the smallest in the capacities of the M sub-bands, and the product of the minimum capacity and the K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M; the target RB is a time-frequency resource corresponding to K sub-bands, and the target MCS is an MCS corresponding to the sub-band with the minimum capacity in the K sub-bands.

In one possible embodiment, the capacity of the M subbands is, in descending order, that the product of the minimum capacity of the capacities of the top K-1 subbands and K-1 is smaller than the transmission requirement capacity of the user equipment, and that the product of the minimum capacity of the capacities of the top K subbands and K is not smaller than the transmission requirement capacity of the user equipment.

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

a prediction unit 1104, configured to input SNR/SINR information of a time-frequency resource used by the user equipment into a transmission prediction model for processing, so as to obtain a transmission prediction result; the time-frequency resource used by the user equipment comprises a plurality of Resource Elements (RE), and the SNR/SINR information comprises SNR/SINR of the plurality of REs.

The units (sending unit 1101, receiving unit 1102, determining unit 1103 and predicting unit 1104) are configured to perform the relevant steps of the method. For example, the sending unit 1101 is configured to execute the relevant content of S601 and S604, the receiving unit 1102 is configured to execute the relevant content of S602, and the determining unit 1103 and the predicting unit 1104 are configured to execute the relevant content of step S603.

In the present embodiment, the base station 1100 is presented in the form of a unit. An "element" may refer to an application-specific integrated circuit (ASIC), a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. Further, the above determining unit 1103 and the predicting unit 1104 may be implemented by the processor 1301 of the base station illustrated in fig. 13.

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

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

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

a sending unit 1203, configured to send the feedback information to the base station, so that the base station determines, based on the wideband CQI, a target RB and a target MCS to be allocated to the user equipment; and receiving the target RB and the target MCS sent by the base station, and receiving the data sent by the base station on the target RB by adopting the target MCS.

In a possible embodiment, the feedback information further includes SNR/SINR information of the time-frequency resource used by the user equipment, so that the base station obtains a transmission prediction result based on the SNR/SINR information of the time-frequency resource used by the user equipment, and the transmission prediction result is used to indicate a probability that data is correctly received by the user equipment when the subsequent base station sends the data to the user equipment; the SNR/SINR information of the time-frequency resource used by the user equipment is obtained by the user equipment through channel estimation based on the channel reference signal.

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

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

or the first flag 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 the data to the user equipment is greater than the preset probability; when the first flag bit takes the value of 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 the data to the user equipment.

The units (the receiving unit 1201, the channel estimating unit 1202, the transmitting unit 1203, and the predicting unit 1204) are configured to perform the relevant steps of the method. For example, the receiving unit 1201 is configured to execute the relevant content of S701, the channel estimation unit 1202 and the prediction unit 1204 are configured to execute the relevant content of S702, and the transmitting unit 1203 is configured to execute the relevant content of step S703.

In this embodiment, the user device 1200 is presented in the form of a unit. As used herein, a "unit" may refer to an ASIC, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. Further, 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 according to an embodiment of the present application; base station 1300 shown in fig. 13 includes memory 1302, processor 1301, and 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 (ROM), a static Memory device, a dynamic Memory device, or a Random Access Memory (RAM). The memory 802 may store a program, and when the program stored in the memory 1302 is executed by the processor 1301, the processor 1301 and the communication interface 1303 are configured to perform each step of the resource configuration method according to the embodiment of the present application.

The processor 1301 may adopt a general Central Processing Unit (CPU), a microprocessor, an ASIC, a Graphics Processing Unit (GPU) or one or more integrated circuits, and is configured to execute related programs to implement functions required to be executed by the units in the vehicle-mounted device according to the embodiment of the present disclosure, or to execute the method for communicating with the disabled passenger according to the embodiment of the present disclosure.

The processor 1301 may also be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the hearing impaired passenger communication method of the present application may be implemented by instructions in the form of hardware integrated logic circuits or software in the processor 1301. The processor 1301 may also be a general purpose processor, a Digital Signal Processor (DSP), an ASIC, a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. 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 connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, etc. as is well known in the art. The storage medium is located in the memory 1302, and the processor 1301 reads information in the memory 1302, and completes functions to be executed by a unit included in the vehicle-mounted device according to the embodiment of the present application in combination with hardware thereof, or executes the hearing-impaired passenger communication method according to the embodiment of the method of the present application.

Communication interface 1303 enables communication between the base station and other devices or communication networks using transceiver means, such as, but not limited to, transceivers.

A bus may include a path that conveys information between various components (e.g., memory 1302, processor 1301, communication interface 1303) of base station 1300.

It is to be understood that the determining unit 1003 and the obtaining unit 1004 in the base station 1000 may correspond to the processor 1301, the sending unit 1001 and the receiving unit 1002 may correspond to the communication interface 1303,

or the determining unit 1103 and the predicting unit 1104 in the base station 1100 may correspond to the processor 1301, and the sending unit 1101 and the receiving unit 1102 may correspond to the communication interface 1303.

It should be noted that although the base station 1300 shown in fig. 13 shows only memories, processors, and communication interfaces, in a specific implementation, those skilled in the art will appreciate that the base station 1300 also includes other components necessary for normal operation. Also, those skilled in the art will appreciate that base station 1300 may also include hardware components to implement other additional functions, according to particular needs. Further, those skilled in the art will appreciate that base station 1300 may also include only those components necessary to implement the embodiments of the present application, and need not include all of the components shown in fig. 13.

It is to be understood that the base station 1300 corresponds to the performing device 210 in fig. 2. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

Referring to fig. 14, fig. 14 is a schematic structural diagram of a user equipment according to an embodiment of the present application; the user device 1400 shown in fig. 14 comprises a memory 1402, a processor 1401, and a communication interface 1403. Wherein the memory 1402, the processor 1401, and the communication interface 1403 are communicatively connected to each other via a bus.

Memory 1402 may be ROM, static storage, dynamic storage, or RAM. The memory 802 may store programs that, when executed by the processor 1401, stored in the memory 1402, the processor 1401 and the communication interface 1403 are used to perform the steps of the resource configuration method of the embodiments of the present application.

The processor 1401 may be a general-purpose CPU, a microprocessor, an ASIC, a GPU, or one or more integrated circuits, and is configured to execute a relevant program to implement the functions that the unit in the vehicle-mounted device according to the embodiment of the present application needs to execute, or execute the hearing impaired passenger communication method according to the embodiment of the method of the present application.

The processor 1401 may also be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the hearing impaired passenger communication method of the present application may be implemented by instructions in the form of hardware integrated logic circuits or software in the processor 1401. The processor 1401 as described above may also be a general purpose processor, a DSP, an ASIC, an FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. 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 connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 1402, and the processor 1401 reads information in the memory 1402, and in combination with hardware thereof, performs a function that needs to be performed by a unit included in the in-vehicle apparatus according to the embodiment of the present application, or performs the hearing-impaired passenger communication method according to the embodiment of the method of the present application.

The communication interface 1403 enables communication between the user equipment and other devices or communication networks using transceiving means such as, but not limited to, transceivers.

A bus can comprise a pathway that conveys information between various components of user device 1400 (e.g., memory 1402, processor 1401, communication interface 1403).

It is to be understood that the channel estimation unit 1202 and the prediction unit 1204 in the user equipment 1200 may correspond to the processor 1401, and the transmission unit 1201 and the reception unit 1203 may correspond to the communication interface 1403.

It should be noted that although the user equipment 1400 shown in fig. 14 shows only memories, processors, and communication interfaces, in a specific implementation, those skilled in the art will appreciate that the user equipment 1400 also includes other components necessary to achieve normal operation. Also, the user equipment 1400 may include hardware components to implement other additional functions, as may be appreciated by those skilled in the art, according to particular needs. Furthermore, those skilled in the art will appreciate that the user equipment 1400 may also include only the components necessary to implement the embodiments of the present application, and need not include all of the components shown in fig. 14.

It is to be understood that the user equipment 1400 may correspond to the execution device 210 in fig. 2. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The present application further provides a computer storage medium, where the computer storage medium may store a program, and when the program is executed, the program may implement part or all of the steps of any resource allocation method described in the foregoing method embodiments. The foregoing storage medium includes: various media capable of storing program codes, such as a U disk, a ROM, a RAM, a removable hard disk, a magnetic disk, or an optical disk.

It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical or other form.

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

The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

A method for resource allocation, comprising:

transmitting a channel reference signal to a user equipment;

receiving first feedback information sent by the user equipment, wherein the first feedback information comprises channel measurement indication (CQI) of M sub-bands used for data transmission between a base station and the user equipment, the CQI of the M sub-bands is obtained by the user equipment through channel estimation based on the channel reference signal, and M is an integer greater than 1;

determining a first Modulation and Coding Scheme (MCS) of the M sub-bands based on the CQIs of the M sub-bands;

determining a target Resource Block (RB) and a target MCS based on the first MCS of the M sub-bands and the transmission required capacity of the user equipment;

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

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

determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are sequenced at the front in the order from large to small in the capacities of the M sub-bands, and the product of the minimum capacity and K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M;

and the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.
The method according to claim 2, wherein the capacity of the M subbands is, in descending order, a product of K-1 and a minimum capacity among capacities of top K-1 subbands is smaller than the transmission requirement capacity of the user equipment, and a product of K and a minimum capacity among capacities of top K subbands is not smaller than the transmission requirement capacity of the user equipment.
The method of any of claims 1-3, wherein the determining the first MCS for the M subbands based on the CQIs for the M subbands comprises:

determining a first MCS for the M sub-bands from a first CQI-MCS mapping table based on the CQIs for the M sub-bands.
The method of claim 4, wherein if the block error rate corresponding to the first CQI-MCS mapping table is higher than a predetermined block error rate, the method further comprises:

obtaining a transmission prediction result, wherein the transmission prediction result is used for representing the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment;

if it is determined based on the transmission prediction result that the probability is not greater than the preset probability, the determining a first MCS for the M sub-bands based on the CQIs for the M sub-bands includes:

determining a first MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a second block error rate based on the CQIs of the M sub-bands,

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

the first feedback information further includes SNR/SINR information of a time-frequency resource used by the ue, and the obtaining a transmission prediction result includes:

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

wherein the time-frequency resource used by the user equipment comprises a plurality of Resource Elements (REs), and the SNR/SINR information comprises SNR/SINR of the plurality of REs.
The method of claim 6, wherein the transmission prediction result comprises a probability that data is correctly received by the UE when the base station transmits the data to the UE,

or a first flag bit, where when a value of the first flag bit is a first value, the first flag bit indicates that a probability that data is correctly received by the user equipment when the base station sends the data to the user equipment this time is greater than the preset probability; when the value of the first flag bit is a second value, the first flag bit indicates that the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time is not greater than the preset probability.
A method for resource allocation, comprising:

transmitting a channel reference signal to a user equipment;

receiving second feedback information sent by the user equipment, wherein the second feedback information comprises a channel measurement indication (CQI) of a broadband used for data transmission between a base station and the user equipment, and the CQI of the broadband is obtained by the user equipment through channel estimation based on the channel reference signal;

determining a modulation and coding strategy MCS of the broadband based on the CQI of the broadband and a transmission prediction result, wherein the transmission prediction result is used for indicating the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment;

determining a target MCS based on the MCS of the broadband, and determining a target RB based on a resource block RB corresponding to the broadband;

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

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

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

wherein the third block error rate is higher than the fourth block error rate.
The method of claim 8, wherein the wideband comprises M subbands, wherein the CQI for the wideband comprises CQIs for M subbands, wherein M is an integer greater than 1, and wherein determining the MCS for the wideband based on the CQIs for the wideband and a transmission prediction comprises:

when the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time is determined to be greater than the preset probability based on the transmission prediction result, determining the MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a third block error rate based on the CQI of the M sub-bands,

when the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time is determined to be not greater than the preset probability based on the transmission prediction result, determining the MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a fourth block error rate based on the CQI of the M sub-bands;

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

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

determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are sequenced at the front in the order from large to small in the capacities of the M sub-bands, and the product of the minimum capacity and K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M;

and the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.
The method of claim 11, wherein the capacity of the M subbands is, in descending order, a product of K-1 and a minimum capacity among capacities of top K-1 subbands is smaller than a transmission required capacity of the user equipment, and a product of K and a minimum capacity among capacities of top K subbands is not smaller than the transmission required capacity of the user equipment.
The method according to any of claims 8-12, wherein the first feedback information further comprises the transmission prediction result, or,

the first feedback information further comprises SNR/SINR information of time-frequency resources used by the user equipment, and the method further comprises:

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

wherein the time-frequency resource used by the user equipment comprises a plurality of Resource Elements (REs), and the SNR/SINR information comprises SNR/SINR of the plurality of REs.
The method of claim 13, wherein the transmission prediction result comprises a probability that data is correctly received by the UE when the base station transmits the data to the UE,

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

receiving a channel reference signal sent by a base station;

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

sending the feedback information to the base station so that the base station can determine a target Resource Block (RB) and a target Modulation and Coding Strategy (MCS) allocated to the user equipment based on the broadband CQI;

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

and 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.
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 a probability that data is correctly received by the user equipment when the base station transmits the data to the user equipment this time; the method further comprises the following steps:

inputting SNR/SINR information of the time-frequency resource used by the user equipment into the transmission prediction model for processing to obtain the transmission prediction result; and the SNR/SINR information of the time-frequency resource used by the user equipment is obtained by the user equipment through channel estimation based on the channel reference signal.
The method according to any of claims 16-18, wherein the transmission prediction result comprises a probability that data is correctly received by the UE when the base station transmits the data to the UE,

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

a transmitting unit, configured to transmit a channel reference signal to a user equipment;

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

a determining unit, configured to determine a first modulation and coding scheme, 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 sub-bands and the transmission required capacity of the user equipment

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

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

determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are arranged at the front in the order from large to small in the capacities of the M sub-bands, and the product of the minimum capacity and K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M;

and the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to a sub-band with the minimum capacity in the K sub-bands.
The base station of claim 21, wherein the capacities of the M subbands are, in descending order, a product of K-1 and a minimum capacity among capacities of top K-1 subbands is smaller than a transmission required capacity of the user equipment, and a product of K and a minimum capacity among capacities of top K subbands is not smaller than the transmission required capacity of the user equipment.
The base station according to any of claims 20-22, wherein, in said aspect of determining the first MCS for the M subbands based on the CQIs for the M subbands, said determining unit is specifically configured to:

determining a first MCS for the M subbands from a first CQI-MCS mapping table based on the CQIs for the M subbands.
The base station of claim 23, wherein if the block error rate corresponding to the first CQI-MCS mapping table is higher than a predetermined 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 a probability that data is correctly received by the user equipment when the base station sends the data to the user equipment this time;

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

and if the probability is determined to be not greater than the preset probability based on the transmission prediction result, determining a first MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a second block error rate based on the CQIs of the M sub-bands, wherein the second block error rate is lower than a first block error rate, and the first block error rate is the block error rate corresponding to the first CQI-MCS mapping table.
The base station of claim 23, wherein the first feedback information further comprises the transmission prediction result, or,

the first feedback information further includes SNR/SINR information of a time-frequency resource used by the ue, and the obtaining unit is specifically configured to:

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

wherein the time-frequency resource used by the user equipment comprises a plurality of Resource Elements (REs), and the SNR/SINR information comprises SNR/SINR of the plurality of REs.
The base station of claim 21, wherein the transmission prediction result comprises a probability that data is correctly received by the UE when the UE transmits data to the UE,

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

a transmitting unit, configured to transmit a channel reference signal to a 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 indicator CQI of a wideband used for data transmission between the base station and the user equipment, and the CQI of the wideband is obtained by the user equipment through channel estimation based on the channel reference signal;

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

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

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

when the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time is determined to be not more than the preset probability based on the transmission prediction result, determining the MCS of the broadband from a CQI-MCS mapping table corresponding to a fourth block error rate based on the CQI of the broadband;

wherein the third block error rate is higher than the fourth block error rate.
The base station of claim 27, wherein the wideband comprises M subbands, wherein the CQI for the wideband comprises CQIs for the M subbands, wherein M is an integer greater than 1, and wherein the determining unit, in terms of the determining the MCS for the wideband based on the CQI for the wideband and a transmission prediction result, is specifically configured to:

when the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time is determined to be greater than the preset probability based on the transmission prediction result, determining the MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a third block error rate based on the CQI of the M sub-bands,

when the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time is determined to be not more than the preset probability based on the transmission prediction result, determining the MCS of the M sub-bands from a CQI-MCS mapping table corresponding to a fourth block error rate based on the CQI of the M sub-bands;

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

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

determining K sub-bands from the M sub-bands based on the transmission required capacity of the user equipment and the capacities of the M sub-bands, wherein the capacities of the K sub-bands are the capacities of the K sub-bands which are arranged at the front in the order from large to small in the capacities of the M sub-bands, and the product of the minimum capacity and K in the capacities of the K sub-bands is not smaller than the transmission required capacity of the user equipment; k is an integer greater than 0 and not greater than M;

and the target RB is a time-frequency resource corresponding to the K sub-bands, and the target MCS is an MCS corresponding to the sub-band with the minimum capacity in the K sub-bands.
The base station of claim 30, wherein the capacity of the M subbands, in descending order, has a product of K-1 and a minimum capacity among capacities of K-1 subbands that are ranked top, which is smaller than the transmission required capacity of the user equipment, and has a product of K and a minimum capacity among capacities of K subbands that are ranked top, which is not smaller than the transmission required capacity of the user equipment.
The base station according to any of claims 27-31, wherein said first feedback information further comprises said transmission prediction result, or,

the first feedback information further includes SNR/SINR information of time-frequency resources used by the ue, and the base station further includes:

a prediction unit, configured to input SNR/SINR information of a time-frequency resource used by the ue into the transmission prediction model for processing, so as to obtain the transmission prediction result;

wherein the time-frequency resource used by the user equipment comprises a plurality of Resource Elements (REs), and the SNR/SINR information comprises SNR/SINR of the plurality of REs.
The BS of claim 32, wherein the transmission prediction result includes a probability that data is correctly received by the UE when the BS transmits the data to the UE,

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

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

the channel estimation unit is used for carrying out channel estimation according to the channel reference signal to obtain feedback information; the feedback information comprises a channel measurement indication (CQI) of a broadband used for data transmission between the base station and the user equipment, and the CQI of the broadband is obtained by the user equipment through 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, based on the wideband CQI, a target resource block RB and a target modulation and coding scheme MCS allocated to the user equipment;

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

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

a prediction unit, configured to input SNR/SINR information of a time-frequency resource used by the ue into the transmission prediction model for processing, so as to obtain the transmission prediction result; and the SNR/SINR information of the time-frequency resource used by the user equipment is obtained by the user equipment through channel estimation based on the channel reference signal.
The UE of any one of claims 35-37, wherein the transmission prediction result comprises a probability that data is correctly received by the UE when the BS transmits the data to the UE,

or a first flag bit, where when the first flag bit takes a value of a first value, the first flag bit indicates that the probability that data is correctly received by the user equipment when the base station sends the data to the user equipment this time is greater than the preset probability; and when the first flag bit value is a second value, the first flag bit represents the probability that the data is correctly received by the user equipment when the base station sends the data to the user equipment at this time.
A base station comprising a processor and a memory, wherein the processor is coupled to the memory, wherein the memory is configured to store program code and wherein the processor is configured to invoke the program code to perform the method of any of claims 1 to 14.
A user device comprising a processor and a memory, wherein the processor is coupled to the memory, wherein the memory is configured to store program code and wherein the processor is configured to invoke the program code to perform the method of any of claims 15 to 18.
A chip system, wherein the chip system is applied to an electronic device; the chip system comprises one or more interface circuits, and one or more processors; the interface circuit and the processor are interconnected through a line; the interface circuit is configured to receive signals from a memory of the electronic device and to transmit the signals to the processor, the signals including computer instructions stored in the memory; the electronic device performs the method of any one of claims 1-18 when the processor executes the computer instructions.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method according to any one of claims 1 to 18.