CN115442906A - Resource scheduling method, device, device and computer program product - Google Patents

Abstract

The invention discloses a resource scheduling method, which comprises the following steps: when scheduling resources for a terminal, a base station performs a clustering operation on each terminal within the coverage of the base station to obtain group information corresponding to a target terminal; The CQI value reported by each terminal is based on the CQI set reported by the terminal in the group and the calculation formula of TBS to determine the optimal spectral efficiency efficiency function; determine the target CQI value based on the optimal spectral efficiency function; based on the target CQI value, Perform a resource scheduling operation on the target terminal. The invention also discloses a resource scheduling device, equipment and computer program product. The present invention obtains the target CQI value by correcting the CQI value of the target terminal, improves the accuracy of CQI value evaluation, makes the target CQI value match the wireless environment quality where the target terminal is located, and can accurately perform downlink RB resource scheduling and MCS allocation, Improved resource scheduling accuracy.

Description

Resource scheduling method, device, device and computer program product

technical field

The present invention relates to the technical field of mobile communication, in particular to a resource scheduling method, device, equipment and computer program product.

Background technique

With the rapid growth of the number of 5G users, people's demand for 5G network experience is also increasing. The optimization of 5G network quality is one of the key issues that operators need to consider. The daily network optimization methods are network coverage, interference, and interoperability parameters. Etc., can also guarantee the user's basic perception experience.

In the existing 5G base station configuration, the SCS is 30KHZ, the time slot length is 0.5ms, the scheduling period TTI of the base station is 0.5ms, that is, the base station schedules the terminal every 0.5ms, and the CSI RS period is 80ms (in heavy traffic scenarios The configuration cycle is longer), the terminal evaluates the quality of the downlink physical channel by measuring the CSI RS, calculating the SINR, quantizing and mapping the CQI value, and finally reporting it to the base station through the PUCCH/PUSCH channel for scheduling reference. However, as the network load increases, the CSI RS period will become longer, and the gap between the CSI RS period and the TTI period will become larger. The CQI reported by the terminal does not match the quality of the wireless environment where the terminal is located, resulting in inaccurate downlink RB resource scheduling and MCS allocation, resulting in inability to Accurately perform resource scheduling, thereby affecting the downlink perception rate of end users.

The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art.

Contents of the invention

The main purpose of the present invention is to provide a resource scheduling method, device, equipment and computer program product, aiming to solve the technical problem in the prior art that accurate resource scheduling cannot be performed according to the CQI reported by the terminal.

To achieve the above object, the present invention provides a resource scheduling method, the resource scheduling method includes the following steps:

When the resource scheduling requirement of the target terminal is detected, performing a clustering operation on each terminal under the coverage of the base station to obtain a target terminal group corresponding to the target terminal;

Obtain the CQI value corresponding to each group terminal in the target terminal group, and determine the optimal spectrum efficiency function corresponding to the target terminal group based on the CQI set reported by the terminal group and the spectral efficiency calculation model;

determining a target CQI value based on the optimal spectral efficiency function;

Based on the target CQI value, perform a resource scheduling operation on the target terminal.

Further, the step of determining the optimal spectral efficiency function corresponding to the target terminal group based on the CQI set reported by the terminal group and the spectral efficiency calculation model includes:

inputting values in the CQI set into the spectrum efficiency calculation model, so as to determine the TBS corresponding to the target terminal group through the spectrum efficiency calculation model;

Based on the TBS, the transmission bandwidth corresponding to the target terminal group, and the spectrum efficiency evaluation time, the optimal spectrum efficiency function is determined through the spectrum efficiency calculation model.

Further, the step of inputting the value in the CQI set into the spectrum efficiency calculation model, so as to determine the TBS corresponding to the target terminal group through the spectrum efficiency calculation model includes:

Based on the transmission block error rate of each group terminal, determine the CQI correction factor corresponding to each group terminal through the spectrum efficiency calculation model;

Based on the CQI correction factor corresponding to each group terminal in the target terminal group and the value in the CQI set, the TBS is determined through the spectrum efficiency calculation model.

Further, the step of determining the TBS through the spectrum efficiency calculation model based on the CQI correction factor corresponding to each group terminal in the target terminal group and the value in the CQI set includes:

Based on the CQI correction factor corresponding to each group terminal and the value in the CQI set, determine the modified modulation order through the spectral efficiency calculation model;

Based on the modified modulation order, the number of resource mappings, coding efficiency, and the number of scheduled layers, determine the amount of transmission information through the spectrum efficiency calculation model;

Based on the transmission information amount, the quantized information amount is determined through the spectrum efficiency calculation model, and the TBS is determined based on the quantized information amount.

Further, when the resource scheduling requirement of the target terminal is detected, the step of performing a clustering operation on each terminal under the coverage of the base station to obtain the target terminal group corresponding to the target terminal includes:

When the resource scheduling requirement of the target terminal is detected, the optimal SSB beam index information of each terminal covered by the base station is obtained;

Based on the K-means clustering algorithm, the terminals under each SSB beam are clustered to obtain multiple terminal groups corresponding to the corresponding terminals in each SSB beam, and the corresponding target terminal is determined in multiple terminal groups. target terminal group.

Further, the step of obtaining the optimal SSB beam index information of each terminal corresponding to the base station includes:

The base station acquires the preamble information of each terminal during RACH, and determines the optimal SSB beam index information of the target terminal based on the preamble information.

Further, the step of performing a resource scheduling operation on the target terminal based on the target CQI value includes:

Inputting the target CQI value into a resource scheduling model for model training to obtain target resources, and performing a resource scheduling operation on the target terminal based on the target resources.

In addition, in order to achieve the above object, the present invention also provides a resource scheduling device, the resource scheduling device includes:

A clustering module, configured to perform a clustering operation on each terminal under the coverage of the base station when the resource scheduling requirement of the target terminal is detected, so as to obtain a target terminal group corresponding to the target terminal;

An acquisition module, configured to acquire a CQI value corresponding to each group terminal in the target terminal group, and determine an optimal spectral efficiency function corresponding to the target terminal group based on a CQI set reported by the terminal group and a spectrum efficiency calculation model;

A determining module, configured to determine a target CQI value based on the optimal spectral efficiency function;

A scheduling module, configured to perform a resource scheduling operation on the target terminal based on the target CQI value.

In addition, in order to achieve the above object, the present invention also provides a resource scheduling device, which includes: a memory, a processor, and a resource scheduling program stored in the memory and operable on the processor. When the resource scheduling program is executed by the processor, the steps of the aforementioned resource scheduling method are implemented.

In addition, to achieve the above object, the present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the aforementioned resource scheduling method are implemented.

In the present invention, when the resource scheduling requirement of the target terminal is detected, each terminal under the coverage of the base station is clustered to obtain the target terminal group corresponding to the target terminal, and then each group terminal in the target terminal group is obtained For the corresponding CQI value, based on the CQI set reported by the terminal group and the spectral efficiency calculation model, determine the optimal spectral efficiency function corresponding to the target terminal group, then determine the target CQI value based on the optimal spectral efficiency function, and finally based on The target CQI value is used to perform resource scheduling operations on the target terminal, and the target CQI value is obtained by correcting the CQI value of the target terminal according to the CQI values of all terminals in the same target terminal group of the target terminal, which improves the evaluation of the CQI value Accuracy, so that the target CQI value matches the wireless environment quality of the target terminal, and resource scheduling is performed on the target terminal according to the optimal CQI value (target CQI value), and then the downlink RB resource scheduling and MCS allocation are accurately performed, which improves the The accuracy of resource scheduling and the downlink perception rate of end users.

At the same time, the base station can accurately judge the wireless environment of the target terminal through the target CQI value, improve the real-time scheduling effect, and improve the spectrum efficiency of the network through the optimal spectrum efficiency function.

Description of drawings

FIG. 1 is a schematic structural diagram of a resource scheduling device in a hardware operating environment involved in the solution of an embodiment of the present invention;

FIG. 2 is a schematic flowchart of the first embodiment of the resource scheduling method of the present invention;

3 is a schematic diagram of a mapping relationship table between CQI and modulation mode modulation in the resource scheduling method of the present invention;

4 is a schematic diagram of a mapping relationship table between MCS and modulation order Q _m in the resource scheduling method of the present invention;

FIG. 5 is a schematic diagram of clustering of terminal groups in the resource scheduling method of the present invention;

FIG. 6 is a schematic diagram of functional modules of an embodiment of a resource scheduling device according to the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

detailed description

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

As shown in FIG. 1 , FIG. 1 is a schematic structural diagram of a resource scheduling device in a hardware operating environment involved in the solution of an embodiment of the present invention.

The resource scheduling device in this embodiment of the present invention may be a base station, or a server such as a PC communicated with the base station. As shown in FIG. 1 , the resource scheduling device may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Optionally, the resource scheduling device may further include a camera, an RF (Radio Frequency, radio frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like.

Those skilled in the art can understand that the terminal structure shown in FIG. 1 does not constitute a limitation on the resource scheduling device, and may include more or less components than those shown in the figure, or combine some components, or arrange different components.

As shown in FIG. 1 , the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a resource scheduler.

In the terminal shown in Figure 1, the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to the client (client) and perform data communication with the client; and the processor 1001 may be used to call a resource scheduler stored in memory 1005 .

In this embodiment, the resource scheduling device includes: a memory 1005, a processor 1001, and a resource scheduling program stored in the memory 1005 and operable on the processor 1001, wherein the processor 1001 calls the When using the resource scheduling program, the steps of the resource scheduling method in the following embodiments are executed.

The present invention also provides a resource scheduling method. Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a first embodiment of the resource scheduling method according to the present invention.

In this embodiment, the resource scheduling method includes the following steps:

Step S101, when the resource scheduling requirement of the target terminal is detected, perform a clustering operation on each terminal under the coverage of the base station, so as to obtain a target terminal group corresponding to the target terminal;

In this embodiment, when the target terminal needs to perform resource scheduling, it triggers the resource scheduling requirement, for example, when the target terminal accesses the base station, the base station needs to perform resource scheduling for the target terminal, and then determines that the resource scheduling requirement is detected, Or, after the base station performs resource scheduling for the target terminal, the target terminal's perception rate is poor. At this time, the target terminal may upload a resource scheduling requirement, so that the base station performs resource scheduling for the target terminal again.

When the resource scheduling requirement is detected, the base station obtains each terminal under its coverage, that is, determines all terminals currently connected to the base station, that is, each terminal corresponding to the base station, and then performs a clustering operation on each terminal to obtain multiple terminal groups group, the base station takes the terminal group including the target terminal as the target terminal group corresponding to the target terminal. Specifically, the base station first acquires SSB beam index information of each terminal, and then performs clustering according to the SSB beam index information to obtain multiple terminal groups.

Step S102, obtaining the CQI value corresponding to each group terminal in the target terminal group, and determining the optimal spectral efficiency function corresponding to the target terminal group based on the CQI set reported by the terminal group and the spectral efficiency calculation model;

In this embodiment, after determining the target terminal group, the base station obtains the CQI values corresponding to each group terminal in the target terminal group, and then obtains the CQI set reported by the terminal group, that is, the CQI set includes the CQI values corresponding to each group terminal CQI value, and then based on the CQI set reported by the terminal group and the spectral efficiency calculation model, the optimal spectral efficiency function corresponding to the target terminal group is determined, that is, the CQI value is input into the spectral efficiency calculation model for model training, and the target terminal group corresponds to The optimal spectral efficiency function of .

It should be noted that, for each group terminal in the target terminal group, if the CQI value corresponding to a certain group terminal cannot be obtained, the group terminal (except the target terminal) will be excluded from the target terminal group.

Step S103, determining a target CQI value based on the optimal spectral efficiency function;

In this embodiment, after the optimal spectral efficiency function is obtained, the target CQI value is determined according to the optimal spectral efficiency function, and the target CQI value is the corrected CQI value of the target terminal. Specifically, according to determining the optimal spectral efficiency The spectral efficiency and CQI value corresponding to the maximum value in the function, the spectral efficiency corresponding to the maximum value is the optimal spectral efficiency, and the CQI value corresponding to the maximum value is the target CQI value, that is to say, the target CQI value corresponds to the optimal Excellent spectral efficiency.

Step S104, based on the target CQI value, perform a resource scheduling operation on the target terminal.

In this embodiment, after the target CQI value is obtained, the resource scheduling operation is performed on the target terminal according to the target CQI value. Specifically, the target CQI value and other corresponding parameters are input into the resource scheduling model for model training. Through the resource scheduling The output of the model performs resource scheduling operations on the target terminal.

Specifically, in an embodiment, the step S104 includes:

Inputting the target CQI value into a resource scheduling model for model training to obtain target resources, and performing a resource scheduling operation on the target terminal based on the target resources.

In this embodiment, the target CQI value is input into the resource scheduling model for model training to obtain target resources. Specifically, the target CQI value and other corresponding parameters are input into the resource scheduling model for model training. Other corresponding parameters include SRS weights, RB resources, and power resources. The obtained target resources include the RB resources, DMRS resources, and target CQI values that match the corresponding MCS, and then allocate RB resources, DMRS resources, and match the MCS to the target terminal, and then realize the target terminal. resource scheduling. Wherein, the resource scheduling model is an existing model.

In the resource scheduling method proposed in this embodiment, when the resource scheduling requirement of the target terminal is detected, each terminal under the coverage of the base station is clustered to obtain the target terminal group corresponding to the target terminal, and then the target terminal is obtained The CQI value corresponding to each group terminal in the group is based on the CQI set reported by the terminal group and the spectral efficiency calculation model to determine the optimal spectral efficiency function corresponding to the target terminal group, and then based on the optimal spectral efficiency function Determine the target CQI value, and finally perform a resource scheduling operation on the target terminal based on the target CQI value, and correct the CQI value of the target terminal according to the CQI values of all terminals in the same target terminal group of the target terminal to obtain the target CQI value, which improves the accuracy of CQI value evaluation, makes the target CQI value match the wireless environment quality where the target terminal is located, and performs resource scheduling for the target terminal according to the optimal CQI value (target CQI value), and then accurately performs downlink RB resources Scheduling and MCS allocation improve the accuracy of resource scheduling and the downlink perception rate of end users.

At the same time, the base station can accurately judge the wireless environment of the target terminal through the target CQI value, improve the real-time scheduling effect, and improve the spectrum efficiency of the network through the optimal spectrum efficiency function.

Based on the first embodiment, a second embodiment of the resource scheduling method of the present invention is proposed. In this embodiment, step S102 includes:

Step S201, input the values in the CQI set into the spectrum efficiency calculation model, so as to determine the TBS corresponding to the target terminal group through the spectrum efficiency calculation model;

Step S202, based on the TBS, the transmission bandwidth corresponding to the target terminal group, and the spectrum efficiency evaluation time, and through the spectrum efficiency calculation model, determine the optimal spectrum efficiency function.

In this embodiment, after obtaining the CQI values corresponding to each group terminal in the target terminal group, the values in the CQI set are input into the spectrum efficiency calculation model, so as to determine the target terminal through the spectrum efficiency calculation model For the TBS corresponding to the group, specifically, the CQI value and other relevant parameters are input into the spectrum efficiency calculation model for model training, and the TBS, which is one of the intermediate parameters of the spectrum efficiency calculation model, is obtained.

Then, based on the TBS, the transmission bandwidth corresponding to the target terminal group, and the spectral efficiency evaluation time, the optimal spectral efficiency function is determined through the spectral efficiency calculation model, that is, according to the TBS, the transmission bandwidth, and the spectral efficiency evaluation Time uses the spectral efficiency calculation model for model training to obtain the optimal spectral efficiency function. Specifically, the formula for the optimal spectral efficiency function in the spectral efficiency calculation model is:

Among them, f(eff) is the optimal spectrum efficiency function, t is the spectrum efficiency evaluation time, and BW is the transmission bandwidth, that is, the transmission bandwidth of this resource scheduling.

In the resource scheduling method proposed in this embodiment, by inputting the value in the CQI set into the spectrum efficiency calculation model, the TBS corresponding to the target terminal group is determined through the spectrum efficiency calculation model; then based on the TBS, the The transmission bandwidth and spectral efficiency evaluation time corresponding to the target terminal group, the optimal spectral efficiency function is determined through the spectral efficiency calculation model, and the optimal spectral efficiency can be accurately obtained according to the CQI value, transmission bandwidth, and spectral efficiency evaluation time Function, and then improve the accuracy of the target CQI value, so that the target CQI value matches the quality of the wireless environment where the target terminal is located, further improving the accuracy of resource scheduling and the downlink perception rate of the terminal user.

Based on the second embodiment, a third embodiment of the resource scheduling method of the present invention is proposed. In this embodiment, step S201 includes:

Step S301, based on the transmission block error rate corresponding to each group terminal, determine the CQI correction factor corresponding to each group terminal through the spectrum efficiency calculation model;

Step S302, based on the CQI correction factor corresponding to each group terminal in the target terminal group and the value in the CQI set, determine the TBS through the spectrum efficiency calculation model.

In this embodiment, after obtaining the CQI values corresponding to each group terminal, obtain the transmission block error rate corresponding to each group terminal, the modulation order corresponding to the target terminal group, and compare the values in the CQI set, transmission error The block rate and the modulation order are input into the spectrum efficiency calculation model for model training, and the CQI correction factors corresponding to each group terminal are obtained based on the transmission block error rate through the spectrum efficiency calculation model, wherein the CQI correction factor a ₌ 1-gj( BLER), wherein, g _j (BLER) is the transmission block error rate of the jth group terminal.

Then, based on the CQI correction factor and the CQI value corresponding to each group terminal in the target terminal group, model training is performed through the spectrum efficiency calculation model to obtain the TBS.

In the resource scheduling method proposed in this embodiment, the CQI correction factor corresponding to each group terminal is determined through the spectrum efficiency calculation model based on the transmission block error rate of each group terminal; and then based on each group terminal in the target terminal group For the corresponding CQI correction factor and the value in the CQI set, the TBS can be determined through the spectral efficiency calculation model, and the TBS can be accurately obtained according to the modulation order, CQI correction factor and CQI value, thereby improving the accuracy of the optimal spectral efficiency function , to improve the accuracy of the target CQI value, so that the target CQI value matches the quality of the wireless environment where the target terminal is located, further improving the accuracy of resource scheduling and the downlink perception rate of the terminal user.

Based on the third embodiment, a fourth embodiment of the resource scheduling method of the present invention is proposed. In this embodiment, step S302 includes:

Step S401, based on the CQI correction factor corresponding to each group terminal and the value in the CQI set, determine the modified modulation order through the spectrum efficiency calculation model;

Step S402, based on the modified modulation order, the number of resource mappings, coding efficiency, and the number of layers scheduled, determine the amount of transmission information through the spectrum efficiency calculation model;

Step S403, based on the transmission information amount, determine the quantized information amount through the spectrum efficiency calculation model, and determine the TBS based on the quantized information amount.

In this embodiment, after obtaining the CQI values corresponding to each group of terminals, it is also necessary to obtain the number of resource mappings, the coding efficiency of the base station, and the number of scheduling layers corresponding to the current resource scheduling, and calculate the number of resource mappings, coding efficiency , the number of layers scheduled, the value in the CQI set, and the transmission block error rate are input into the spectrum efficiency calculation model for model training.

In this embodiment, after obtaining the intermediate parameter CQI correction factor, the spectral efficiency calculation model calculates the modified modulation order through the CQI correction factor and the CQI value. Specifically, the base station first searches for the corresponding modulation order according to the CQI value, and then according to Modulation order, CQI correction factor and CQI value to calculate the modified modulation order, refer to Figure 3 and Figure 4, Figure 3 is a schematic diagram of the mapping relationship between CQI and modulation mode modulation, Figure 4 is the MCS and modulation order Q Schematic diagram of the mapping relationship table between _m . The base station can find the modulation order corresponding to each CQI through Figure 3 and Figure 4 according to the existing algorithm, and then calculate the modified modulation order through the formula. After the correction in the spectrum efficiency calculation model The formula for calculating the modulation order of is:

Wherein, Q' _m is the modified modulation order, Q _m is the modulation order, a is the CQI correction factor, and y _i is the CQI value of the i-th group terminal in the CQI set.

Then, based on the modified modulation order, the number of resource mappings, coding efficiency and the number of scheduling layers, the transmission information amount is determined through the spectrum efficiency calculation model; that is, according to the modified modulation order, the number of resource mappings, coding efficiency and For the number of layers to be scheduled, the amount of transmitted information is calculated through the spectrum efficiency calculation model. The amount of transmitted information is the amount of information transmitted within a scheduling period (TTI). The calculation formula for the amount of transmitted information in the spectrum efficiency calculation model is:

N _info = N _RE × R × Q' _m × v;

Among them, N _info is the amount of information to be transmitted, N _RE is the number of resource mappings, R is the coding efficiency, and v is the number of layers scheduled.

Then, based on the amount of transmitted information, the quantized information amount is determined through the spectrum efficiency calculation model; The calculation model calculates the intermediate parameter n, and then calculates the amount of quantized information according to the amount of transmitted information and the intermediate parameter n. The formula for the intermediate parameter n in the spectral efficiency calculation model is:

n=max(3,[log ₂ N _info ]-6);

The formula for quantifying the amount of information in the spectral efficiency calculation model is:

Wherein, N' _info is the amount of information after quantization processing.

Finally, the TBS is determined based on the amount of information after the quantization process. Specifically, the preset table (3GPP TS38.214 Table 5.1.3.2-1) is queried according to the TBS value through the spectrum efficiency calculation model, and the best value in the preset table is selected. The closest number is taken as TBS.

In the resource scheduling method proposed in this embodiment, based on the modulation order corresponding to the target terminal group, the CQI correction factor corresponding to each group terminal, and the value in the CQI set, the modified modulation order is determined through the spectrum efficiency calculation model. Then, based on the modified modulation order, the number of resource mappings, coding efficiency, and the number of layers scheduled, the amount of transmission information is determined through the spectrum efficiency calculation model; then based on the amount of transmission information, through the calculation of the spectrum efficiency The model determines the amount of information after quantization processing, and determines the TBS based on the amount of information after quantization processing, which further improves the accuracy of TBS obtained through the CQI value, and then improves the accuracy of the target CQI value, so that the target CQI value matches the target terminal. The quality of the wireless environment at the location further improves the accuracy of resource scheduling and the downlink perception rate of end users.

Based on the first embodiment, a fifth embodiment of the resource scheduling method of the present invention is proposed. In this embodiment, step S101 includes:

Step S501, when the resource scheduling requirement of the target terminal is detected, obtain the optimal SSB beam index information of each terminal covered by the base station;

Step S502, based on the K-means clustering algorithm, perform a clustering operation on the terminals under each SSB beam to obtain multiple terminal groups corresponding to the terminals in each SSB beam, and determine the target terminal in the multiple terminal groups The corresponding target terminal group.

In this embodiment, the 5G SSB (consisting of PSS/SSS/PBCH) broadcast beams are at most N narrow beams with fixed directions, and the base station completes the broadcast beam coverage of the cell by sending different narrow beams at different times. The terminal obtains the optimal beam by scanning each narrow beam, and completes synchronization and system message demodulation through the optimal beam. In order for the base station to know the optimal SSB beam index where the terminal is located, in the 5G NR system, the PRACH time domain position selected by the terminal is related to the optimal SSB beam searched by the terminal, that is, the terminal initiates random access through the preamble related to the SSB beam , implicitly tells the base station which SSB beam it is in.

Furthermore, when the resource scheduling requirement of the target terminal is detected, the optimal SSB beam index information of each terminal corresponding to the base station is obtained. In one embodiment, step S501 includes: the base station obtains the preamble information of each terminal RACH, based on the The preamble information determines the optimal SSB beam index information of the target terminal; that is, the base station obtains the preamble information corresponding to the random access initiated by each terminal through the SSB beam-related Preamble, and obtains the optimal SSB beam index information of each terminal according to the preamble information. Optimized SSB beam index information.

Then, based on the K-means clustering algorithm, the clustering operation is performed on the terminals under each SSB beam, specifically, the clustering operation is performed on the terminals under each SSB beam according to the optimal SSB beam index information, so as to obtain the Multiple terminal groups corresponding to the terminal, determining the target terminal group corresponding to the target terminal among the multiple terminal groups.

However, this embodiment is not limited thereto. In other implementation manners, the base station may first determine the target SSB beam corresponding to the target terminal, obtain the terminals in the target SSB beam, and then cluster the terminals in the target SSB beam based on the K-means clustering algorithm. Class operation, to obtain the corresponding multiple terminal groups in the target SSB beam.

Specifically, input n SSB beams and the number k of groups, and initialize k group centers {w ₁ ,...w _k ,} through the K-means clustering algorithm, where w _j =i, j∈ {1,2...k}, i∈{1,2...n}. Then make each cluster C _j correspond to w _j , perform repeated iterations, assign the input vector i to the cluster C _j to which the nearest group center w _j belongs, and update the group center to the current cluster C _j , Calculate the criterion function E for the center points of all samples in , until E no longer changes significantly or the members in the cluster group no longer change, and then k terminal groups are obtained, refer to Figure 5, #0～#N in Figure 5 for the terminal group. Then, a target terminal group corresponding to the target terminal is determined among multiple terminal groups.

The resource scheduling method proposed in this embodiment obtains the optimal SSB beam index information of each terminal covered by the base station when the resource scheduling requirement of the target terminal is detected; then based on the K-means clustering algorithm, the terminal under each SSB beam Perform a clustering operation to obtain multiple terminal groups corresponding to the terminals in each SSB beam, determine the target terminal group corresponding to the target terminal among the multiple terminal groups, and determine the target terminal group corresponding to the target terminal in a single SSB beam based on the terminal location information Clustering processing is performed to finely divide terminal groups and improve the efficiency of resource scheduling.

The present invention also provides a resource scheduling device. Referring to FIG. 6, the resource scheduling device includes:

The clustering module 10 is configured to perform a clustering operation on each terminal under the coverage of the base station when the resource scheduling requirement of the target terminal is detected, so as to obtain a target terminal group corresponding to the target terminal;

The acquisition module 20 is configured to acquire the CQI value corresponding to each group terminal in the target terminal group, the CQI set reported by the base terminal group and the spectral efficiency calculation model, and determine the optimal spectral efficiency function corresponding to the target terminal group;

A determining module 30, configured to determine a target CQI value based on the optimal spectral efficiency function;

The scheduling module 40 is configured to perform a resource scheduling operation on the target terminal based on the target CQI value.

For the methods executed by the above program units, reference may be made to the various embodiments of the resource scheduling method of the present invention, which will not be repeated here.

The present invention also provides a computer-readable storage medium.

A resource scheduling program is stored on the computer-readable storage medium of the present invention, and when the resource scheduling program is executed by a processor, the steps of the above-mentioned resource scheduling method are implemented.

Wherein, for the method implemented when the resource scheduling program running on the processor is executed, reference may be made to various embodiments of the resource scheduling method of the present invention, which will not be repeated here.

In addition, an embodiment of the present invention also proposes a computer program product, the computer program product includes a resource scheduler, and when the resource scheduler is executed by a processor, the steps of the above-mentioned resource scheduler method are implemented.

It should be noted that, as used herein, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or system. Without further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product in essence or in other words, the part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , magnetic disk, optical disk), including several instructions to make a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the method described in each embodiment of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims (10)

1. A resource scheduling method, characterized in that the resource scheduling method comprises the following steps:

when the resource scheduling requirement of a target terminal is detected, clustering operation is carried out on all terminals covered by a base station so as to obtain a target terminal group corresponding to the target terminal;

acquiring a CQI value corresponding to each group terminal in a target terminal group, and determining an optimal spectrum efficiency function corresponding to the target terminal group based on a CQI set reported by the terminal group and a spectrum efficiency calculation model;

determining a target CQI value based on the optimal spectral efficiency function;

and performing resource scheduling operation on the target terminal based on the target CQI value.

2. The method for scheduling resources according to claim 1, wherein the step of determining the optimal spectral efficiency function corresponding to the target terminal group based on the CQI set reported by the terminal group and the spectral efficiency calculation model comprises:

inputting values in the CQI set into the spectrum efficiency calculation model, and determining the TBS corresponding to the target terminal group through the spectrum efficiency calculation model;

and determining the optimal spectrum efficiency function through the spectrum efficiency calculation model based on the TBS, the transmission bandwidth corresponding to the target terminal group and the spectrum efficiency evaluation time.

3. The method for resource scheduling according to claim 2, wherein the step of inputting the values in the CQI set into the spectral efficiency calculation model to determine the TBS corresponding to the target terminal group via the spectral efficiency calculation model comprises:

determining a CQI correction factor corresponding to each group terminal through the spectrum efficiency calculation model based on the transmission block error rate of each group terminal;

and determining the TBS through the spectrum efficiency calculation model based on the CQI correction factor corresponding to each group terminal in the target terminal group and the value in the CQI set.

4. The method of claim 3, wherein the step of determining the TBS via the spectrum efficiency calculation model based on a CQI correction factor corresponding to each group terminal in the target terminal group and values in a CQI set comprises:

determining a modified modulation order through the spectrum efficiency calculation model based on the CQI correction factor corresponding to each group terminal and the value in the CQI set;

determining the transmission information quantity through the spectrum efficiency calculation model based on the modified modulation order, the number of resource mappings, the coding efficiency and the number of the scheduled layers;

and determining the information quantity after quantization processing through the spectrum efficiency calculation model based on the transmission information quantity, and determining the TBS based on the information quantity after quantization processing.

5. The method for scheduling resources according to claim 1, wherein the step of clustering terminals covered by a base station to obtain a target terminal group corresponding to a target terminal when the resource scheduling requirement of the target terminal is detected comprises:

when the resource scheduling requirement of a target terminal is detected, acquiring the optimal SSB wave beam index information of each terminal under the coverage of a base station;

and based on a K-means clustering algorithm, performing clustering operation on the terminals under each SSB wave beam to obtain a plurality of terminal groups corresponding to the terminals in each SSB wave beam, and determining a target terminal group corresponding to the target terminal in the plurality of terminal groups.

6. The method for scheduling resources according to claim 5, wherein the step of obtaining the optimal SSB beam index information of each terminal corresponding to the base station comprises:

and the base station determines the optimal SSB wave beam index information of the target terminal based on the preamble information by acquiring the preamble information of each terminal RACH.

7. The method for resource scheduling according to any of claims 1 to 6, wherein the step of performing resource scheduling operation for the target terminal based on the target CQI value comprises:

and inputting the target CQI value into a resource scheduling model for model training to obtain target resources, and performing resource scheduling operation on the target terminal based on the target resources.

8. A resource scheduling apparatus, wherein the resource scheduling apparatus comprises:

the system comprises a clustering module, a resource scheduling module and a resource scheduling module, wherein the clustering module is used for clustering each terminal covered by a base station when the resource scheduling requirement of a target terminal is detected so as to obtain a target terminal group corresponding to the target terminal;

the system comprises an acquisition module, a spectrum effectiveness calculation module and a control module, wherein the acquisition module is used for acquiring CQI values corresponding to all group terminals in a target terminal group and determining an optimal spectrum effectiveness function corresponding to the target terminal group based on a CQI set reported by the terminal group and a spectrum effectiveness calculation model;

a determining module for determining a target CQI value based on the optimal spectral efficiency function;

and the scheduling module is used for performing resource scheduling operation on the target terminal based on the target CQI value.

9. A resource scheduling apparatus, characterized in that the resource scheduling apparatus comprises: memory, a processor and a resource scheduler stored on the memory and executable on the processor, the resource scheduler, when executed by the processor, implementing the steps of the resource scheduling method according to any of claims 1 to 7.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the resource scheduling method according to any one of claims 1 to 7.

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