CN115765956B - Method, device, equipment and storage medium for determining carrier aggregation - Google Patents

Abstract

The application relates to a method, a device, equipment and a storage medium for determining carrier aggregation, and relates to the technical field of communication. The method comprises the following steps: acquiring subcarrier spacing of a base station and a target distance between an antenna of the base station and a target position; determining a predicted value of signal quality corresponding to the target distance from the first mapping relation based on the subcarrier spacing and the target distance of the base station; the first mapping relation is used for indicating the mapping relation between the coverage radius of the base station and the signal quality in different subcarrier intervals of the base station; and under the condition that the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold value, determining to carry out carrier aggregation on the base station. The method and the device are used for efficiently carrying out carrier aggregation.

Description

Carrier aggregation determination method, device, equipment and storage medium

Technical Field

The present application relates to the field of communication technology, and in particular to a method, apparatus, device and storage medium for determining carrier aggregation.

Background technique

As user demand continues to rise, the fifth generation mobile communication technology (5G) is difficult to meet user needs. Frequency band refarming or spectrum sharing is usually used to aggregate time division duplexing (TDD) and frequency division duplexing (FDD) to improve 5G capabilities. Currently, it is possible to determine whether TDD and FDD need to be aggregated by manually testing the reference signal receiving power (RSRP).

However, the above method consumes manpower and material resources and cannot efficiently determine whether TDD and FDD need to be aggregated. Therefore, how to efficiently perform carrier aggregation is a technical problem that needs to be solved urgently.

Summary of the invention

The present application provides a method, device, equipment and storage medium for determining carrier aggregation to efficiently perform carrier aggregation. The technical solution of the present application is as follows:

According to the first aspect of the present application, a method for determining carrier aggregation is provided, the method comprising: obtaining the subcarrier spacing of a base station and a target distance between an antenna of the base station and a target position; determining a predicted value of a signal quality corresponding to the target distance from a first mapping relationship based on the subcarrier spacing and the target distance of the base station; the first mapping relationship is used to indicate a mapping relationship between a base station coverage radius and a signal quality in different subcarrier spacings of the base station; and determining to perform carrier aggregation on the base station when the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold.

In a possible implementation, determining a first mapping relationship includes: acquiring measurement report (MR) data received by a base station within a preset time period; the MR data includes measurement values of base station signal quality measured by different user equipment and timing advance (TA) values; determining a second mapping relationship based on the MR data; the second mapping relationship includes a TA range and an average value of the signal quality; the average value of the signal quality is an average value of signal quality measurement values corresponding to all TA values within the TA range; and determining the first mapping relationship based on the second mapping relationship and a distance range corresponding to the TA range of the base station in different subcarrier intervals.

In one possible implementation, determining a target aggregation mode of a base station includes: determining a difference between a predicted value of a signal quality corresponding to a target distance and a target value of a signal quality corresponding to a target distance; based on the difference, determining a target aggregation mode of the base station from a third mapping relationship; and the third mapping relationship is used to indicate aggregation modes corresponding to different difference ranges.

In a possible implementation, the above-mentioned third mapping relationship includes: the aggregation mode corresponding to the first difference range is 2.1 gigahertz (GHz) frequency band frequency division duplex FDD + 3.5 GHz frequency band time division duplex TDD aggregation mode, the aggregation mode corresponding to the second difference range is 1.8 GHz frequency band FDD + 3.5 GHz frequency band TDD, and the aggregation mode corresponding to the third difference range is 900 megahertz (MHz) frequency band FDD + 3.5 GHz frequency band TDD; the minimum value of the second difference range is greater than or equal to the maximum value of the first difference range, and the minimum value of the third difference range is greater than or equal to the maximum value of the second difference range.

According to a second aspect of the present application, a carrier aggregation determination device is provided, the device comprising an acquisition unit and a determination unit; the acquisition unit is used to acquire the subcarrier spacing of the base station, and the target distance between the antenna of the base station and the target position; the determination unit is used to determine, after the acquisition unit acquires the subcarrier spacing of the base station, and the target distance between the antenna of the base station and the target position, a predicted value of the signal quality corresponding to the target distance from a first mapping relationship based on the subcarrier spacing of the base station and the target distance; the first mapping relationship is used to indicate a mapping relationship between the coverage radius of the base station and the signal quality in different subcarrier spacings of the base station; the determination unit is further used to determine to perform carrier aggregation on the base station when the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold.

In a possible implementation, the acquisition unit is further used to acquire MR data received by the base station within a preset time period; the MR data includes measurement values of base station signal quality measured by different user devices and TA values; the determination unit is further used to determine a second mapping relationship based on the MR data; the second mapping relationship includes an average value of a TA range and signal quality; the average value of the signal quality is an average value of signal quality measurement values corresponding to all TA values within the TA range; the determination unit is further used to determine the first mapping relationship based on the second mapping relationship and a distance range corresponding to the TA range of the base station in different subcarrier intervals.

In a possible implementation, the above-mentioned determination unit is specifically used to: determine the difference between the predicted value of the signal quality corresponding to the target distance and the target value of the signal quality corresponding to the target distance; based on the difference, determine the target aggregation method of the base station from a third mapping relationship; the third mapping relationship is used to indicate the aggregation methods corresponding to different difference ranges.

In a possible implementation, the above-mentioned third mapping relationship includes: the aggregation mode corresponding to the first difference range is 2.1GHz frequency division duplex FDD + 3.5GHz time division duplex TDD aggregation mode, the aggregation mode corresponding to the second difference range is 1.8GHz frequency band FDD + 3.5GHz frequency band TDD, and the aggregation mode corresponding to the third difference range is 900MHz frequency band FDD + 3.5GHz frequency band TDD; the minimum value of the second difference range is greater than or equal to the maximum value of the first difference range, and the minimum value of the third difference range is greater than or equal to the maximum value of the second difference range.

According to a third aspect of the present application, an electronic device is provided, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to execute instructions to implement the method of the above-mentioned first aspect and any possible implementation manner thereof.

According to a fourth aspect of the present application, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method in the above-mentioned first aspect and any possible implementation manner thereof.

According to a fifth aspect of the present application, a computer program product is provided. The computer program product includes computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the method of the first aspect and any possible implementation manner thereof.

The technical solution of the first aspect provided by the present application brings at least the following beneficial effects: In the prior art, it is usually determined whether it is necessary to aggregate TDD and FDD by manually testing RSRP, but this method consumes manpower and material resources. The present application obtains the subcarrier spacing of the base station and the target distance between the target position and the base station antenna, and determines the predicted value of the signal quality corresponding to the target distance based on the first mapping relationship. Furthermore, when the predicted value of the signal quality corresponding to the target distance is lower than the preset threshold, it is determined to perform carrier aggregation on the base station. Among them, the first mapping relationship is used to indicate the mapping relationship between the base station coverage radius and the signal quality in different subcarrier spacings of the base station. Therefore, the predicted value of the signal quality corresponding to the target distance can be efficiently determined, thereby efficiently determining whether carrier aggregation is needed. At the same time, the method of carrier aggregation of base stations by electronic equipment is used to improve the efficiency of carrier aggregation.

It should be noted that the technical effects brought about by any implementation method in the second to fifth aspects can refer to the technical effects brought about by the corresponding implementation method in the first aspect, and will not be repeated here.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute improper limitations on the present application.

FIG1 is a schematic diagram of a system for determining carrier aggregation according to an exemplary embodiment;

FIG2 is a flow chart showing a method for determining carrier aggregation according to an exemplary embodiment;

3 is a schematic diagram showing a target distance, a distance between a target position and a base station, and a height of the base station according to an exemplary embodiment;

FIG4 is an exemplary diagram showing a target area and base station locations according to an exemplary embodiment;

FIG5 is a flow chart showing another method for determining carrier aggregation according to an exemplary embodiment;

FIG6 is a flowchart showing another method for determining carrier aggregation according to an exemplary embodiment;

FIG7 is a block diagram of a device for determining carrier aggregation according to an exemplary embodiment;

Fig. 8 is a block diagram of an electronic device according to an exemplary embodiment.

Detailed ways

In order to enable ordinary persons in the art to better understand the technical solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.

Before introducing in detail the method for determining carrier aggregation provided in the present application, a brief introduction is first given to the implementation environment (implementation architecture) involved in the present application.

The method for determining carrier aggregation provided in an embodiment of the present application can be applied to a system for determining carrier aggregation. FIG1 shows a schematic diagram of the structure of the system for determining carrier aggregation. As shown in FIG1 , a system 10 for determining carrier aggregation includes an electronic device 11 and a device 12 for determining carrier aggregation. The electronic device 11 is connected to the device 12 for determining carrier aggregation. The electronic device 11 and the device 12 for determining carrier aggregation can be connected by wire or by wireless, which is not limited in the embodiment of the present application.

The electronic device 11 can be used to obtain the engineering data of the base station and the MR data reported by the user equipment, the engineering data includes the latitude and longitude coordinates, altitude and subcarrier spacing of the base station, and the MR data includes the measurement value and TA value of the base station signal quality measured by the user equipment, and the acquired engineering data of the base station and the MR data reported by the user equipment are sent to the carrier aggregation determination device 12.

The electronic device 11 also displays an input interface. The electronic device 11 obtains the distance between the target location and the base station and the target value of the signal quality corresponding to the target distance in response to the user's input operation on the input interface.

The carrier aggregation determination device 12 may be used to receive engineering data of the base station sent by the electronic device 11 and MR data reported by the user equipment.

The carrier aggregation determination device 12 can also be used to process the received engineering data of the base station and the MR data reported by the user equipment, for example, based on the subcarrier spacing and the target distance of the base station, determine the predicted value of the signal quality corresponding to the target distance from the first mapping relationship. When the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold, determine to perform carrier aggregation on the base station.

Optionally, the electronic device 11 can be a physical machine, such as a base station device, a network device installed inside or outside a base station, a desktop computer, also known as a desktop computer or desktop computer (desktop computer), a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA) and other terminal devices. The electronic device 11 can also be a server, or a server group composed of multiple servers.

Optionally, the above-mentioned carrier aggregation determination device 12 may also implement the functions to be implemented by the above-mentioned carrier aggregation determination device 12 through a virtual machine (VM) deployed on a physical machine.

In different application scenarios, the electronic device 11 and the carrier aggregation determination device 12 may be independent devices or integrated into the same device, which is not specifically limited in the embodiments of the present application.

When the electronic device 11 and the carrier aggregation determination device 12 are integrated into the same device, the data transmission mode between the electronic device 11 and the carrier aggregation determination device 12 is the data transmission between the internal modules of the device. In this case, the data transmission process between the two is the same as "the data transmission process between the electronic device 11 and the carrier aggregation determination device 12 when they are independent of each other".

Before introducing in detail the method for determining carrier aggregation provided in the present application, a brief introduction to the background technology involved in the present application is first given. The communication standard adopted by 5G is TDD, and the frequency band used includes 3.5 GHz, the bandwidth reaches 100 MHz, the downlink peak reaches 1530 megabits per second (Mbps), and the uplink peak can reach 373 Mbps. There are problems with large wireless propagation loss and penetration loss in the 3.5 GHz frequency band, and the path loss of the uplink using the 3.5 GHz frequency band is higher than that using the 2.1 GHz frequency band. The communication standard adopted by the fourth generation mobile communication technology (4G) is FDD, and the frequency bands used include 2.1 GHz frequency band, 1.8 GHz frequency band and 900 MHz frequency band. By aggregating the FDD of different frequency bands adopted by 4G with the TDD of the 3.5 GHz frequency band adopted by 5G, the 5G capability can be effectively improved.

In the following embodiments provided in the embodiments of the present application, the embodiments of the present application are described by taking the electronic device 11 and the carrier aggregation determination device 12 as being integrated into the same device as an example.

For ease of understanding, the method for determining carrier aggregation provided in the present application is specifically introduced below with reference to the accompanying drawings.

FIG2 is a flowchart of a method for determining carrier aggregation according to an exemplary embodiment. The method can be applied to an electronic device or a device for determining carrier aggregation connected to the electronic device. At the same time, the method can also be applied to a device similar to the electronic device or the device for determining carrier aggregation. The following describes the method by taking the method applied to an electronic device as an example. As shown in FIG2, the method for determining carrier aggregation includes the following steps:

S201. The electronic device obtains a subcarrier spacing of a base station and a target distance between an antenna of the base station and a target position.

As a possible implementation method, the electronic device obtains the engineering data of the base station, and the engineering data includes the latitude and longitude coordinates, height, and subcarrier spacing of the base station. Further, the electronic device determines the distance between the target location and the base station in response to the target location coordinates input by the user, and determines the distance between the antenna of the base station and the target location as the target distance based on the determined distance between the target location and the base station, the height of the base station, and Formula 1. The target location is located within the coverage range of the base station.

D ² = d ² + h ² Formula 1

Where D is the target distance, d is the distance between the target location and the base station, and h is the height of the base station.

Exemplarily, the target distance, the distance between the target position and the base station, and the height of the base station may be as shown in FIG. 3 .

It should be noted that the subcarrier spacing may specifically be 15 kilo hertz (KHz), 30 KHz, 60 KHz, and 120 KHz.

Exemplarily, the user inputs the coordinates of the target location, and the electronic device determines that the distance between the target location and the base station is 300 meters (meter, m). Further, the electronic device determines that the target distance is 500 m based on the determined distance between the target location and the base station of 300 m, the height of the base station of 400 m, and formula 1.

As another possible implementation, the electronic device obtains engineering data of the base station, which includes the latitude and longitude coordinates, altitude, and subcarrier spacing of the base station. The electronic device responds to the target area selected by the user on the electronic map, and determines the distance between the base station and the point on the target area according to the coordinates of the point on the target area. The target area is within the coverage of the base station.

Furthermore, the electronic device determines the target position as the point on the target area farthest from the base station, and based on the distance between the target position and the base station, the height of the base station and formula one, determines the distance between the antenna of the base station and the target position as the target distance.

Exemplarily, the target area and base station locations may be as shown in FIG. 4 .

S202: The electronic device determines a predicted value of a signal quality corresponding to the target distance from a first mapping relationship based on the subcarrier spacing of the base station and the target distance.

The first mapping relationship is used to indicate a mapping relationship between a base station coverage radius and a signal quality in different subcarrier spacings of the base station.

As a possible implementation, the electronic device determines a first mapping relationship, the first mapping relationship including the average values of signal qualities corresponding to different distance ranges in different subcarrier intervals. Further, the electronic device determines a target distance range corresponding to the target distance in the first mapping relationship, and uses the average value of the signal quality corresponding to the target distance range as a predicted value of the signal quality corresponding to the target distance.

It should be noted that the signal quality may specifically be RSRP, and the unit of the signal quality is decibel relative to one milliwatt (dbm).

Exemplarily, when the subcarrier spacing is 15 KHz, the first mapping relationship may be as shown in the following Table 1:

Table 1: First mapping relationship

Distance range (m) Average signal quality (dbm) (0,78] -69 (78, 156] -72 (156, 234] -79 (234, 312] -82 (312,390] -87

Exemplarily, when the subcarrier spacing is 30 KHz, the first mapping relationship may be as shown in Table 2 below:

Table 2: First mapping relationship

Distance range (m) Average signal quality (dbm) (0,39] -69 (39, 78] -72 (78, 117] -79 (117, 156] -82 (156, 197] -87

Exemplarily, when the subcarrier spacing is 60 KHz, the first mapping relationship may be as shown in the following Table 3:

Table 3: First mapping relationship

Distance range (m) Average signal quality (dbm) (0, 19.5] -69 (19.5, 39] -72 (39, 58.5] -79 (58.5, 78] -82 (78, 97.5] -87

Exemplarily, when the subcarrier spacing is 120 KHz, the first mapping relationship may be as shown in Table 4 below:

Table 4: First mapping relationship

Distance range (m) Average signal quality (dbm) (0, 10] -69 (10, 20] -72 (20,30] -79 (30, 40] -82 (40,50] -87

S203: When the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold, the electronic device determines to perform carrier aggregation on the base station.

Exemplarily, the preset threshold may be -105dbm.

It is understandable that in the prior art, it is usually determined whether TDD and FDD need to be aggregated by manually testing RSRP, but this method consumes manpower and material resources. The present application obtains the subcarrier spacing of the base station and the target distance between the target position and the base station antenna, and determines the predicted value of the signal quality corresponding to the target distance based on the first mapping relationship. Furthermore, when the predicted value of the signal quality corresponding to the target distance is lower than the preset threshold, it is determined to perform carrier aggregation on the base station. Among them, the first mapping relationship is used to indicate the mapping relationship between the base station coverage radius and the signal quality in different subcarrier spacings of the base station. Therefore, the predicted value of the signal quality corresponding to the target distance can be efficiently determined, thereby efficiently determining whether carrier aggregation is needed. At the same time, the method of carrier aggregation of base stations by electronic equipment is used to improve the efficiency of carrier aggregation.

In some embodiments, in order to determine the first mapping relationship, as shown in FIG. 5, the method for determining carrier aggregation provided in an embodiment of the present application further includes:

S301. An electronic device obtains MR data received by a base station within a preset time period.

The MR data includes measurement values of base station signal quality measured by different user equipments and TA values.

As a possible implementation method, the electronic device obtains MR data reported by different user devices within a preset time period, and the MR data includes the measurement value of the base station signal quality measured by the user equipment, the TA value, the location information of the user equipment, and the measurement value of the signal quality of adjacent base stations measured by the user equipment.

It should be noted that the unit of TA value is millisecond (ms).

Exemplarily, the MR data may be shown in Table 5 below:

Table 5: MR data

User equipment number TA value (ms) A measure of signal quality (dbm) 1 1 -68 2 1 -70 3 2 -71 4 2 -73 5 3 -78 6 3 -80 7 4 -81 8 4 -83 9 5 -86 10 5 -88

S302: The electronic device determines a second mapping relationship according to the MR data.

The second mapping relationship includes a TA range and an average value of signal quality. The average value of signal quality is an average value of signal quality measurement values corresponding to all TA values within the TA range.

As a possible implementation, based on the MR data, the electronic device divides the acquired multiple TA values into different TA ranges. Further, the electronic device determines an average value of the signal quality measurement values corresponding to all TA values in each TA range.

Exemplarily, the second mapping relationship may be as shown in Table 6 below:

Table 6: Second mapping relationship

TA range (ms) Average signal quality (dbm) (0, 1] -69 (1,2] -72 (2,3] -79 (3,4] -82 (4，5] -87

S303: The electronic device determines the first mapping relationship according to the second mapping relationship and the distance range corresponding to the TA range of the base station in different subcarrier intervals.

As a possible implementation manner, the electronic device obtains the distance range corresponding to the TA range in different subcarrier spacings, and determines the first mapping relationship based on the distance range corresponding to the TA range in different subcarrier spacings and the second mapping relationship.

For example, when the subcarrier spacing is 15 KHz, the distance range corresponding to the TA range may be as shown in Table 7 below:

Table 7: Distance range corresponding to TA range

TA range (ms) Distance range (m) (0, 1] (0,78] (1,2] (78, 156] (2,3] (156, 234] (3,4] (234, 312] (4，5] (312,390]

For example, when the subcarrier spacing is 30 kHz, the distance range corresponding to the TA range may be as shown in Table 8 below:

Table 8: Distance range corresponding to TA range

TA range (ms) Distance range (m) (0, 1] (0,39] (1,2] (39, 78] (2,3] (78, 117] (3,4] (117, 156] (4，5] (156, 197]

For example, when the subcarrier spacing is 60 kHz, the distance range corresponding to the TA range may be as shown in Table 9 below:

Table 9: Distance range corresponding to TA range

TA range (ms) Distance range (m) (0, 1] (0, 19.5] (1,2] (19.5, 39] (2,3] (39, 58.5] (3,4] (58.5, 78] (4，5] (78, 97.5]

For example, when the subcarrier spacing is 120 KHz, the distance range corresponding to the TA range may be as shown in Table 10 below:

Table 10: Distance range corresponding to TA range

TA range (ms) Distance range (m) (0, 1] (0, 10] (1,2] (10, 20] (2,3] (20,30] (3,4] (30, 40] (4，5] (40,50]

It can be understood that the second mapping relationship is obtained based on the MR data reported by the user equipment, and the user equipment is a plurality of different user equipment within the coverage of the base station. Therefore, the first mapping relationship obtained based on the second mapping relationship is reliable, so that the predicted value of the signal quality corresponding to the target distance determined based on the first mapping relationship is more accurate. Further, the accuracy of judging whether carrier aggregation is required based on the predicted value of the signal quality corresponding to the target distance is higher.

In some embodiments, in order to determine the target aggregation mode of the base station, as shown in FIG6 , the method for determining carrier aggregation provided in an embodiment of the present application further includes:

S401. The electronic device determines a difference between a predicted value of a signal quality corresponding to a target distance and a target value of the signal quality corresponding to the target distance.

As a possible implementation manner, the electronic device determines a difference between a predicted value of the signal quality corresponding to the target distance and the target value of the signal quality corresponding to the target distance in response to a target value of the signal quality corresponding to the target distance input by a user.

For example, the target value of the signal quality corresponding to the target distance input by the user is -108dbm, and the predicted value of the signal quality corresponding to the target distance determined by the electronic device is -115dbm. Further, the difference between the predicted value of the signal quality corresponding to the target distance determined by the electronic device and the target value of the signal quality corresponding to the target distance is 7dbm.

S402: The electronic device determines a target aggregation mode of the base station from a third mapping relationship based on the difference.

Among them, the third mapping relationship is used to indicate the aggregation mode corresponding to different difference ranges. The third mapping relationship includes: the aggregation mode corresponding to the first difference range is the 2.1GHz band FDD + 3.5GHz band TDD aggregation mode, the aggregation mode corresponding to the second difference range is the 1.8GHz band FDD + 3.5GHz band TDD, and the aggregation mode corresponding to the third difference range is the 900MHz band FDD + 3.5GHz band TDD. The minimum value of the second difference range is greater than or equal to the maximum value of the first difference range, and the minimum value of the third difference range is greater than or equal to the maximum value of the second difference range.

As a possible implementation manner, the electronic device determines the difference range in which the difference is located based on the difference, and uses the aggregation mode corresponding to the difference range as the target aggregation mode.

Exemplarily, the third mapping relationship may be as shown in Table 11 below:

Table 11: The third mapping relationship

Difference range (dbm) Aggregation [3,6] 2.1GHz band FDD + 3.5GHz band TDD (6,9] 1.8GHz band FDD + 3.5GHz band TDD (9, 12] 900MHz band FDD + 3.5GHz band TDD

For example, taking the difference of 5 as an example, the electronic device determines that the aggregation mode of the base station is 2.1GHz band FDD + 3.5GHz band TDD. Taking the difference of 8dbm as an example, the electronic device determines that the aggregation mode of the base station is 2.1GHz band FDD + 3.5GHz band TDD. Taking the difference of 12dbm as an example, the electronic device determines that the aggregation mode of the base station is 2.1GHz band FDD + 3.5GHz band TDD.

It should be noted that 2.1 GHz is a general term for 2130 MHz-2155 MHz and 2110 MHz-2130 MHz, and 2.1 GHz is a general term for 2130-2155 MHz and 2110-2130 MHz.

It can be understood that the greater the difference between the predicted value of the signal quality corresponding to the target distance and the target value of the signal quality corresponding to the target distance, the worse the signal quality corresponding to the target distance. Since the smaller the frequency band of FDD, the smaller the penetration loss, therefore, aggregating the FDD with a smaller frequency band and the TDD with a frequency band of 3.5GHz can effectively improve the signal quality corresponding to the target distance.

FIG. 7 is a diagram showing a carrier aggregation determination device 500 according to an exemplary embodiment. As shown in FIG. 7 , the carrier aggregation determination device 500 provided in the embodiment of the present application includes an acquisition unit 501 and a determination unit 502 .

The acquisition unit 501 is used to acquire the subcarrier spacing of the base station and the target distance between the antenna of the base station and the target position.

The determination unit 502 is configured to determine a predicted value of the signal quality corresponding to the target distance from a first mapping relationship based on the subcarrier spacing of the base station and the target distance after the acquisition unit 501 acquires the subcarrier spacing of the base station and the target distance between the antenna of the base station and the target position. The first mapping relationship is used to indicate a mapping relationship between the base station coverage radius and the signal quality in different subcarrier spacings of the base station.

The determining unit 502 is further configured to determine to perform carrier aggregation on the base station when the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold.

Optionally, as shown in Fig. 7, the acquisition unit 501 provided in the embodiment of the present application is further used to acquire MR data received by the base station within a preset time period. The MR data includes measurement values of base station signal quality measured by different user equipment and TA values.

The determination unit 502 is further configured to determine a second mapping relationship according to the MR data. The second mapping relationship includes a TA range and an average value of signal quality. The average value of signal quality is an average value of signal quality measurement values corresponding to all TA values within the TA range.

The determining unit 502 is further configured to determine the first mapping relationship according to the second mapping relationship and the distance range corresponding to the TA range of the base station in different subcarrier intervals.

Optionally, as shown in FIG. 7 , the determination unit 502 provided in the embodiment of the present application is specifically used to determine a difference between a predicted value of the signal quality corresponding to the target distance and a target value of the signal quality corresponding to the target distance.

Based on the difference, a target aggregation mode of the base station is determined from a third mapping relationship. The third mapping relationship is used to indicate aggregation modes corresponding to different difference ranges.

Fig. 8 is a block diagram of an electronic device according to an exemplary embodiment. As shown in Fig. 8 , the electronic device 600 includes but is not limited to: a processor 601 and a memory 602 .

The memory 602 is used to store executable instructions of the processor 601. It can be understood that the processor 601 is configured to execute instructions to implement the method for determining carrier aggregation in the above embodiment.

It should be noted that those skilled in the art will understand that the electronic device structure shown in FIG8 does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown in FIG8, or a combination of certain components, or a different arrangement of components.

The processor 601 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and/or modules stored in the memory 602, and calling data stored in the memory 602, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. The processor 601 may include one or more processing units. Optionally, the processor 601 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 601.

The memory 602 can be used to store software programs and various data. The memory 602 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application program required by at least one functional module (such as an acquisition unit, a determination unit), etc. In addition, the memory 602 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory including instructions. The above instructions can be executed by a processor of an electronic device to implement the method for determining carrier aggregation in the above embodiment.

In actual implementation, the functions of the acquisition unit 501 and the determination unit 502 can be implemented by the processor 601 in Figure 8 calling the computer program stored in the memory 602. The specific execution process can refer to the description of the carrier aggregation determination method in the above embodiment, which will not be repeated here.

Optionally, the computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

In an exemplary embodiment, the present application also provides a computer program product including one or more instructions, and the one or more instructions can be executed by a processor of an electronic device to complete the method in the above embodiment.

It should be noted that when the instructions in the above-mentioned computer-readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the various processes of the above-mentioned method embodiment are implemented, and the same technical effect as the above-mentioned method can be achieved. To avoid repetition, they will not be repeated here.

Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard drives, ROM, RAM, magnetic disks or optical disks.

The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (10)

1. A method for determining carrier aggregation, comprising: Obtaining a subcarrier spacing of a base station and a target distance between an antenna of the base station and a target location; Based on the subcarrier spacing of the base station and the target distance, determining a predicted value of the signal quality corresponding to the target distance from a first mapping relationship; the first mapping relationship is used to indicate a mapping relationship between a base station coverage radius and a signal quality in different subcarrier spacings of the base station; When the predicted value of the signal quality corresponding to the target distance is lower than a preset threshold, it is determined to perform carrier aggregation on the base station. 2. The determination method according to claim 1, characterized in that the method further comprises: Acquire measurement report MR data received by the base station within a preset time period; the MR data includes measurement values of the base station signal quality measured by different user equipment and a time advance TA value; Determine a second mapping relationship according to the MR data; the second mapping relationship includes a TA range and an average value of signal quality; the average value of the signal quality is an average value of signal quality measurement values corresponding to all TA values within the TA range; The first mapping relationship is determined according to the second mapping relationship and the distance range corresponding to the TA range of the base station in different subcarrier intervals. 3. The determination method according to claim 1 or 2, characterized in that the method further comprises: Determine a difference between a predicted value of the signal quality corresponding to the target distance and a target value of the signal quality corresponding to the target distance; Based on the difference, a target aggregation mode of the base station is determined from a third mapping relationship; the third mapping relationship is used to indicate aggregation modes corresponding to different difference ranges. 4. The determination method according to claim 3, characterized in that the third mapping relationship comprises: The aggregation mode corresponding to the first difference range is the 2.1 GHz frequency division duplex FDD + 3.5 GHz time division duplex TDD aggregation mode, the aggregation mode corresponding to the second difference range is the 1.8 GHz frequency band FDD + 3.5 GHz frequency band TDD, and the aggregation mode corresponding to the third difference range is the 900 MHz frequency band FDD + 3.5 GHz frequency band TDD; the minimum value of the second difference range is greater than or equal to the maximum value of the first difference range, and the minimum value of the third difference range is greater than or equal to the maximum value of the second difference range. 5. A carrier aggregation determination device, characterized in that the device comprises an acquisition unit and a determination unit; The acquisition unit is used to acquire the subcarrier spacing of the base station and the target distance between the antenna of the base station and the target position; The determining unit is configured to determine, after the acquiring unit acquires the subcarrier spacing of the base station and the target distance between the antenna of the base station and the target position, a predicted value of the signal quality corresponding to the target distance from a first mapping relationship based on the subcarrier spacing of the base station and the target distance; the first mapping relationship is used to indicate a mapping relationship between a base station coverage radius and a signal quality in different subcarrier spacings of the base station; The determining unit is further configured to determine to perform carrier aggregation on the base station when a predicted value of the signal quality corresponding to the target distance is lower than a preset threshold. 6. The determination device according to claim 5, characterized in that the acquisition unit is further used to: Acquire measurement report MR data received by the base station within a preset time period; the MR data includes measurement values of the base station signal quality measured by different user equipment and a time advance TA value; The determining unit is further used to determine a second mapping relationship according to the MR data; the second mapping relationship includes a TA range and an average value of signal quality; the average value of the signal quality is an average value of signal quality measurement values corresponding to all TA values within the TA range; The determining unit is further configured to determine the first mapping relationship according to the second mapping relationship and the distance range corresponding to the TA range of the base station in different subcarrier intervals. 7. The determination device according to claim 5 or 6, characterized in that the determination unit is specifically used to: Determine a difference between a predicted value of the signal quality corresponding to the target distance and a target value of the signal quality corresponding to the target distance; Based on the difference, a target aggregation mode of the base station is determined from a third mapping relationship; the third mapping relationship is used to indicate aggregation modes corresponding to different difference ranges. 8. The determination device according to claim 7, characterized in that the third mapping relationship comprises: The aggregation mode corresponding to the first difference range is the 2.1 GHz frequency division duplex FDD + 3.5 GHz time division duplex TDD aggregation mode, the aggregation mode corresponding to the second difference range is the 1.8 GHz frequency band FDD + 3.5 GHz frequency band TDD, and the aggregation mode corresponding to the third difference range is the 900 MHz frequency band FDD + 3.5 GHz frequency band TDD; the minimum value of the second difference range is greater than or equal to the maximum value of the first difference range, and the minimum value of the third difference range is greater than or equal to the maximum value of the second difference range. 9. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 4. 10. A computer-readable storage medium, characterized in that when the computer-executable instructions stored in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute the method as claimed in any one of claims 1 to 4.