CN113260069B

CN113260069B - Carrier resource scheduling method and device and electronic equipment

Info

Publication number: CN113260069B
Application number: CN202010089854.7A
Authority: CN
Inventors: 刘建强
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Guangdong Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Guangdong Co Ltd
Priority date: 2020-02-13
Filing date: 2020-02-13
Publication date: 2023-04-28
Anticipated expiration: 2040-02-13
Also published as: CN113260069A

Abstract

The embodiment of the invention discloses a carrier resource scheduling method, a device and electronic equipment, which are used for realizing carrier resource scheduling among cells corresponding to different base stations, wherein the method comprises the following steps: acquiring continuous load characteristic coefficients of each cell in a plurality of cells in a wireless communication system in a preset statistical period, determining a high-load cell and a low-load cell contained in the plurality of cells based on the continuous load characteristic coefficients, determining a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and carrying out carrier resource scheduling between the high-load cell and the low-load cell with the matching relation. By the method, carrier resource scheduling can be performed between the matched high-load cell and low-load cell, and the efficiency and accuracy of carrier resource scheduling are improved.

Description

Carrier resource scheduling method and device and electronic equipment

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a carrier resource scheduling method, a device, and an electronic device.

Background

Currently, a static configuration method is adopted for the permission (license) of the carrier resources of the wireless network, but due to the tidal effect of the wireless communication traffic, the carrier resources do not always work in a normal load state, so that reasonable allocation and utilization of the carrier resources become the concern of operators.

When the carrier resources among different cells are scheduled, the traffic of the different cells can be monitored manually, and then the carrier resources among the different cells are scheduled manually by initiating a management flow. For example, residential traffic peaks occur in the morning and evening, while business traffic peaks occur during daytime hours, and carrier resources between residential and traffic areas that exhibit different load states can be scheduled in the same time by means of manual scheduling.

However, by the above manual method, the following problems exist in scheduling carrier resources of different cells: the traffic of different cells is required to be monitored manually and then the carrier resource is scheduled, so that higher labor cost exists, and in addition, the traffic is estimated manually according to experience and the carrier resource is scheduled, so that certain error probability exists, and the carrier resource scheduling efficiency is low and the accuracy is poor.

Disclosure of Invention

The embodiment of the invention aims to provide a carrier resource scheduling method, a carrier resource scheduling device and electronic equipment, which are used for solving the problems of lower efficiency and poor accuracy of carrier resource scheduling in the prior art when carrier resources of different cells are scheduled in a manual mode.

In order to solve the technical problems, the embodiment of the invention is realized as follows:

in a first aspect, an embodiment of the present invention provides a carrier resource scheduling method, configured to implement carrier resource scheduling between cells corresponding to different base stations, where the method includes:

acquiring a continuous load characteristic coefficient of each cell in a plurality of cells in a wireless communication system in a preset statistical period;

determining a high load cell and a low load cell included in the plurality of cells based on the continuous load characteristic coefficient;

determining a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm;

and carrying out carrier resource scheduling between the high-load cell and the low-load cell with the matching relationship.

The obtaining the continuous load characteristic coefficient of each cell in the plurality of cells in the wireless communication system in a preset statistical period comprises the following steps:

acquiring traffic statistical information of each cell in the plurality of cells in the preset statistical period;

and based on the preset time granularity and the telephone traffic statistical information, acquiring the continuous load characteristic coefficient of each cell in the plurality of cells.

Optionally, the obtaining the continuous load characteristic coefficient of each cell in the plurality of cells based on the preset time granularity and the traffic statistics includes:

Acquiring traffic load characteristic data corresponding to the traffic statistical information of each cell based on the preset time granularity and a preset load judgment standard;

and determining the continuous load characteristic coefficient of each cell based on the traffic load characteristic data of each cell.

Optionally, the determining the continuous load characteristic coefficient of each cell based on the traffic load characteristic data of each cell includes:

and determining the continuous load characteristic coefficient of each cell based on the continuous high load characteristic data and/or the continuous low load characteristic data in the traffic load characteristic data of each cell.

Optionally, the determining, based on a preset cyclic shift pairing algorithm, a matching relationship between the high-load cell and the low-load cell includes:

determining the matching priority of the high-load cell based on the continuous load characteristic coefficient of the high-load cell;

and determining a matching relation between the high-load cell and the low-load cell based on the matching priority of the high-load cell and the preset cyclic shift pairing algorithm.

Optionally, the determining, based on the matching priority of the high-load cell and the preset cyclic shift pairing algorithm, a matching relationship between the high-load cell and the low-load cell includes:

Determining a target high-load cell in the high-load cells based on the matching priority of the high-load cells;

acquiring a first low-load cell based on a first time corresponding to continuous high-load characteristic data of the target high-load cell, wherein the time corresponding to the continuous low-load characteristic data of the first low-load cell is the same as the first time;

determining the first low-load cell as a target low-load cell matched with the target high-load cell;

and determining the matching relation between other high-load cells and the low-load cells based on the mode of obtaining the target low-load cell matched with the target high-load cell.

Optionally, after the first low-load cell is determined to be the target low-load cell matched with the target high-load cell, the method further includes:

acquiring a second time including the first time based on the first time and a preset step length under the condition that the first low-load cell does not exist in the low-load cell;

acquiring a second low-load cell, wherein the time corresponding to continuous low-load characteristic data of the second low-load cell is the same as the second time;

And determining the second low-load cell as the target low-load cell matched with the target high-load cell.

In a second aspect, an embodiment of the present invention provides a carrier resource scheduling apparatus, where the apparatus includes:

the acquisition module is used for acquiring the continuous load characteristic coefficient of each cell in a plurality of cells in the wireless communication system in a preset statistical period;

a determining module, configured to determine a high-load cell and a low-load cell included in the plurality of cells based on the continuous load characteristic coefficient;

the matching module is used for determining a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm;

and the scheduling module is used for scheduling carrier resources between the high-load cell and the low-load cell with the matching relationship.

Optionally, the acquiring module includes:

a first obtaining unit, configured to obtain traffic statistics information of each cell in the plurality of cells in the preset statistics period;

and the second acquisition unit is used for acquiring the continuous load characteristic coefficient of each cell in the plurality of cells based on the preset time granularity and the telephone traffic statistical information.

Optionally, the second obtaining unit is configured to:

Optionally, the matching module includes:

a priority determining unit, configured to determine a matching priority of the high-load cell based on a continuous load characteristic coefficient of the high-load cell;

and the matching unit is used for determining the matching relation between the high-load cell and the low-load cell based on the matching priority of the high-load cell and the preset cyclic shift pairing algorithm.

Optionally, the matching unit is configured to:

Optionally, the apparatus further comprises:

the time acquisition module is used for acquiring a second time containing the first time based on the first time and a preset step length under the condition that the first low-load cell does not exist in the low-load cell;

the cell acquisition module is used for acquiring a second low-load cell, and the time corresponding to the continuous low-load characteristic data of the second low-load cell is the same as the second time;

and the cell determining module is used for determining the second low-load cell as the target low-load cell matched with the target high-load cell.

In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored on the memory and executable on the processor, where the computer program when executed by the processor implements the steps of the carrier resource scheduling method provided in the foregoing embodiment.

In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, where a computer program is stored, where the computer program, when executed by a processor, implements the steps of the carrier resource scheduling method provided in the foregoing embodiment.

As can be seen from the technical solutions provided in the embodiments of the present invention, by acquiring a continuous load characteristic coefficient of each of a plurality of cells in a wireless communication system within a preset statistical period, determining a high load cell and a low load cell included in the plurality of cells based on the continuous load characteristic coefficient, determining a matching relationship between the high load cell and the low load cell based on a preset cyclic shift pairing algorithm, and performing carrier resource scheduling between the high load cell and the low load cell having the matching relationship. Therefore, the high-load cell and the low-load cell in the cells corresponding to different base stations can be determined according to the continuous load characteristic coefficients without manually monitoring the traffic of different cells, so that the labor cost is reduced, and the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, so that the problem of high error probability in carrier resource scheduling caused by manually estimating the traffic according to experience is solved, and the efficiency and the accuracy of carrier resource scheduling are improved.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some of the embodiments described in the invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a diagram of an embodiment of a carrier resource scheduling method according to the present invention;

fig. 2 is a schematic diagram of another embodiment of a carrier resource scheduling method according to the present invention;

fig. 3 is a schematic diagram of an embodiment of a carrier resource scheduling apparatus according to the present invention;

fig. 4 is an embodiment of an electronic device according to the present invention.

Detailed Description

The embodiment of the invention provides a carrier resource scheduling method, a carrier resource scheduling device and electronic equipment.

In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, shall fall within the scope of the invention.

Example 1

As shown in fig. 1, an embodiment of the present invention provides a carrier resource scheduling method, which is used for implementing carrier resource scheduling between cells corresponding to different base stations. The method specifically comprises the following steps:

in S102, a continuous load characteristic coefficient of each of a plurality of cells in a wireless communication system is acquired within a preset statistical period.

The preset statistical period may be a statistical period of any duration of one day, three days or one week, the continuous load characteristic coefficient may include a continuous high load characteristic coefficient and/or continuous low load characteristic data, the continuous load characteristic coefficient may be a duty ratio of a cell in a preset statistical period in a continuous high load state or a continuous low load state in the preset statistical period, and the continuous load characteristic coefficient may be prestored or may be determined based on preset traffic index data of each cell in the preset statistical period.

In practice, at present, a static configuration method is adopted for the permission (license) of the carrier resources of the wireless network, but because wireless communication traffic has a tidal effect, the carrier resources do not always work in a normal load state, and therefore, reasonable allocation and utilization of the carrier resources become a concern of operators. When the carrier resources among different cells are scheduled, the traffic of the different cells can be monitored manually, and then the carrier resources among the different cells are scheduled manually by initiating a management flow. For example, residential traffic peaks occur in the morning and evening, while business traffic peaks occur during daytime hours, and carrier resources between residential and traffic areas that exhibit different load states can be scheduled in the same time by means of manual scheduling.

However, by the above manual method, the following problems exist in scheduling carrier resources of different cells: the traffic of different cells is required to be monitored manually and then the carrier resource is scheduled, so that higher labor cost exists, and in addition, the traffic is estimated manually according to experience and the carrier resource is scheduled, so that certain error probability exists, and the carrier resource scheduling efficiency is low and the accuracy is poor. Therefore, the embodiment of the invention provides a technical scheme capable of solving the problems, which specifically comprises the following steps:

the method can acquire the data corresponding to the preset telephone traffic index of each cell in the preset statistical period, and determine the continuous load characteristic coefficient of each cell in the preset statistical period according to the acquired data. The preset traffic index may include one or more indexes of radio resource control (Radio Resource Control, RRC) number of data transmission, physical uplink shared channel (Physical Uplink Shared, PUSCH) utilization, physical downlink shared channel (Physical Downlink Shared, PDSCH) utilization, physical downlink control channel (Physical Downlink Control Channel, PDCCH) utilization, uplink traffic, downlink traffic, and the like.

For example, the PUSCH utilization and PDSCH utilization of each cell in the first three days (i.e., the preset statistical period is three days) may be obtained, and the continuous load characteristic coefficient of each cell may be determined according to the PUSCH utilization and PDSCH utilization of the three days. It is assumed that PUSCH and PDSCH utilization rates of cell 1 on 1 month 1 day to 1 month 3 days can be acquired, and the acquired data can be shown in table 1.

TABLE 1

	PUSCH utilization	PDSCH utilization
				1 month and 1 day	67％	20％
1 month and 2 days	70％	66％
			1 month and 3 days	89％	51％

Assuming that the cell is in a high load state when both PUSCH and PDSCH are more than 50%, and in a low load state when both PUSCH and PDSCH are less than 20%. As can be seen from table 1, the cell 1 is in a high load state on both 1 month 2 and 1 month 3 days, and no low load state occurs in the preset statistical period, the continuous load characteristic coefficient of the cell 1 only includes the continuous high load characteristic coefficient, and the continuous high load characteristic coefficient may be 2/3≡0.67.

The method for acquiring the continuous load characteristic coefficient of each cell in the preset statistical period is an optional and practical determination method, and in an actual application scene, there may be a plurality of different acquisition methods, which may be different according to the actual application scene, for example, the preset continuous load characteristic coefficient of each cell may be acquired.

In S104, a high load cell and a low load cell included in the plurality of cells are determined based on the continuous load characteristic coefficient.

In implementation, it may be determined whether the continuous load characteristic coefficient of each cell accords with the continuous high load characteristic or the continuous low load characteristic among the plurality of cells, and the cell that accords with the continuous high load characteristic is determined to be a high load cell, and the cell that accords with the continuous low load characteristic is determined to be a low load cell.

For example, the continuous high load characteristic may be that the continuous high load characteristic coefficient is greater than a preset high load threshold, and likewise, the continuous low load characteristic may be that the continuous low load characteristic coefficient is less than a preset low load threshold. For example, the continuous load characteristic coefficient of the cell 1 only includes the continuous high load characteristic coefficient, and the continuous high load characteristic coefficient of the cell 1 is 0.67, and if the preset high load threshold is 0.5, the continuous high load characteristic coefficient of the cell 1 is greater than the preset high load threshold, and it can be determined that the cell 1 is a high load cell.

The above-mentioned method for determining the high-load cell and the low-load cell is an optional and realizable method, and in the actual application scenario, there may be a plurality of different determining methods, and the embodiments of the present invention are not specifically limited correspondingly, and may be different according to the different actual application scenarios.

In S106, a matching relationship between the high load cell and the low load cell is determined based on a preset cyclic shift pairing algorithm.

In implementation, after the high load cells and the low load cells are determined, a set M including all the high load cells and a set N including all the low load cells may be obtained, and then the low load cells matched with each of the high load cells may be respectively obtained based on a preset cyclic shift pairing algorithm.

For example, assuming that the preset statistical period is 1 month 1 day to 1 month 5 days, and the five days are five consecutive working days, taking the high load cell 1 in the set M as an example, it is possible to acquire the time in which the high load cell 1 is in the continuous high load state within 1 month 1 day to 1 month 5 days (assuming that the high load cell is in the continuous high load state at 1 month 2 day to 1 month 3 days), and set the start time in the continuous high load state to X (e.g., 1 month 2 day), and the end time to Y (e.g., 1 month 3 day). In set N, a low load cell matching the high load cell 1 may be selected based on X and Y (e.g., a low load cell in a continuous low load state for 1 month 2 to 1 month 3 days may be selected in set N). If there are no low load cells in set N that match X and Y (i.e., low load cells in set N that are in a continuous low load state for 1 month 2 to 1 month 3 days are not included), then the value of Y can be gradually increased and the value of X can be decreased and re-matched until a couple and cells matching high load cell 1 are matched or the number of cells in set N that are mateable low load cells is 0. For example, a low-load cell in a continuous low-load state for 1 month 2 to 1 month 4 days (or 1 month 1 to 1 month 3 days) may be acquired as a low-load cell matching with the high-load cell 1.

The high load cell is determined to be matched with the low load cell by the condition that the high load cell is in the continuous high load state, and the high load cell matched with the low load cell can be determined by the condition that the low load cell is in the continuous low load state.

In S108, carrier resource scheduling is performed between the high load cell and the low load cell having a matching relationship.

In implementation, carrier resource scheduling can be performed between a high-load cell and a low-load cell with a matching relationship in a new preset statistical period.

In addition, in different preset statistics periods, the same high-load cell can be matched with different low-load cells, for example, it is assumed that the high-load cell 1 is a business area, the low-load cell 2 is a residential area, the low-load cell 3 is a business-to-living area, when the preset statistics period 1 is monday to friday, the high-load cell 1 can be matched with the low-load cell 2, and when the preset statistics period 2 is friday to friday, the high-load cell 1 can be matched with the low-load cell 3.

And in a new preset statistical period, acquiring a low-load cell corresponding to each high-load cell according to the type of the preset statistical period, and then scheduling carrier resources in the matched high-load cell and low-load cell. For example, on weekdays, carrier resource scheduling may be performed between the high load cell 1 and the low load cell 2, and on weekdays, carrier resource scheduling may be performed between the high load cell 1 and the low load cell 1.

The embodiment of the invention provides a carrier resource scheduling method, which comprises the steps of obtaining continuous load characteristic coefficients of each cell in a plurality of cells in a wireless communication system in a preset statistical period, determining a high-load cell and a low-load cell contained in the plurality of cells based on the continuous load characteristic coefficients, determining a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and performing carrier resource scheduling between the high-load cell and the low-load cell with the matching relation. Therefore, the high-load cell and the low-load cell in the cells corresponding to different base stations can be determined according to the continuous load characteristic coefficients without manually monitoring the traffic of different cells, so that the labor cost is reduced, and the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, so that the problem of high error probability in carrier resource scheduling caused by manually estimating the traffic according to experience is solved, and the efficiency and the accuracy of carrier resource scheduling are improved.

Example two

As shown in fig. 2, an embodiment of the present invention provides a carrier resource scheduling method, which is used for implementing carrier resource scheduling between cells corresponding to different base stations. The method specifically comprises the following steps:

in S202, traffic statistics of each of a plurality of cells in a preset statistics period is obtained.

The traffic statistics may be traffic information obtained based on a preset traffic index.

In implementation, assuming that the preset statistics period is 24 hours, traffic statistics information of each cell in 24 hours may be obtained, for example, data such as an effective RRC number, PUSCH utilization, PDSCH utilization, PDCCH utilization, uplink traffic, downlink traffic, and average evolution radio access bearer (Evolved Radio Bearer, E-RAB) traffic of the cell 1 in the latest day (for example, 11 months and 20 days) may be obtained as traffic statistics information of the cell 1 in the preset statistics period.

The preset traffic indexes may include a plurality of preset traffic indexes (i.e. different traffic statistics information are selected) according to different practical application scenarios, which is not particularly limited in the embodiment of the present invention.

In S204, based on the preset time granularity and the traffic statistics, a continuous load characteristic coefficient of each of the plurality of cells is obtained.

The preset time granularity may be any time granularity determined based on a preset statistical period, for example, if the preset statistical period may be one day, the corresponding preset time granularity may be one hour, and if the preset statistical period is one month, the corresponding preset time granularity may be one day.

In implementation, the duration of each cell in a continuous high load state or the duration of each cell in a continuous low load state can be obtained based on the preset time granularity and the traffic statistics information of each cell, and then the continuous load characteristic coefficient of each cell is determined according to the duration of the preset statistics period. For example, if the preset statistics period is one day, the corresponding preset time granularity may be one hour, and then the traffic statistics information of each cell may be divided into 24 sub-traffic statistics information, and when the load state of the 24 sub-traffic statistics information is judged, finally, the continuous load characteristic coefficient of each cell is determined according to the duration of the continuous load state.

In practical applications, the processing manner of S204 may be varied, and an alternative implementation manner is provided below, which can be specifically referred to as the following processing in step one and step two.

Step one, based on preset time granularity and preset load judgment standard, obtaining traffic load characteristic data corresponding to traffic statistical information of each cell.

In implementation, assuming that the preset statistics period is one day and the preset time granularity is one hour, the traffic statistics of the cell 1 in the last day (for example, 11 months and 20 days) may be acquired, and the acquired partial traffic statistics may be as shown in table 2.

TABLE 2

Assuming that the preset load judgment criteria include a high load judgment criteria and a low load judgment criteria, wherein the high load judgment criteria may include a criterion 1, a criterion 2 and a criterion 3, specific judgment contents of the three criteria may be shown in table 3, and the low load judgment criteria may be shown in table 4.

TABLE 3 Table 3

TABLE 4 Table 4

The obtained traffic statistics information of each cell may be determined based on table 3 and table 4, so as to obtain traffic characteristic data of each cell. For example, taking table 2 as an example, 7 pieces of traffic index data of cell 1 at 10:00 do not meet 3 high load criteria in table 3, and low load criteria in table 4, then the traffic feature data corresponding to 10:00 may be set to 0, 7 pieces of traffic index data of cell 1 at 15:00 meet criteria 1 in table 3, then cell 1 may be considered to be in a high load state at 15:00, then the traffic feature data of cell 1 at 15:00 may be set to 1, similarly, the traffic feature data of cell 1 at 19:00 meets the low load criteria in table 4, then cell 1 is in a low load state at 19:00, and then the traffic feature data of cell 1 at 19:00 may be set to-1, and so on, the traffic feature data of cell 1 within 24 hours may be obtained. The partial traffic characteristic data may be as shown in table 5.

TABLE 5

And step two, determining the continuous load characteristic coefficient of each cell based on the traffic load characteristic data of each cell.

In implementations, the continuous load signature coefficients for each cell may be determined based on continuous high load signature data and/or continuous low load signature data in the traffic load signature data for each cell.

For example, the traffic statistics of the cell a, the cell B, the cell C, the cell D and the cell E in a preset statistics period (for example, 11 months and 20 days) may be obtained, the traffic statistics of the five cells are divided into 24 sub-traffic statistics according to a preset time granularity (for example, one hour), and then the 24 sub-traffic statistics are converted into corresponding traffic load feature data based on a preset load judgment standard, and the obtained traffic load feature data of the five cells may be shown in table 6-1 and table 6-2. Wherein, table 6-1 is traffic load characteristic data of five cells in a preset statistical period of 0:00-12:00, table 6-2 is traffic load characteristic data of five cells in a preset statistical period of 13:00-24:00, and in table 6-1, the "0" th traffic load characteristic data may represent traffic load characteristic data corresponding to sub-traffic statistical information of a time period of 0:00-1:00 determined based on a preset load standard.

TABLE 6-1

	0	1	2	3	4	5	6	7	8	9	10	11
													A	1	0	1	0	1	1	-1	0	0	1	1	1
B	-1	1	0	0	-1	0	1	1	1	-1	-1	-1
													C	-1	1	-1	0	-1	0	1	1	1	-1	-1	-1
D	-1	1	-1	0	-1	0	1	1	-1	-1	-1	-1
													E	-1	0	0	0	1	1	0	-1	-1	-1	-1	-1

TABLE 6-2

	12	13	14	15	16	17	18	19	20	21	22	23
													A	0	1	1	0	-1	1	-1	1	-1	1	0	1
B	1	1	0	0	1	-1	1	1	1	-1	-1	0
													C	-1	1	1	1	-1	0	1	0	1	1	1	0
D	1	1	1	1	-1	0	1	0	1	1	1	0
													E	-1	-1	1	1	1	1	0	-1	-1	1	1	-1

The continuous load characteristic coefficient of each cell may be calculated based on the obtained traffic load characteristic data of each cell. For example, it may be determined whether traffic load characteristic data of each cell includes traffic characteristic data corresponding to three or more continuous high load states (i.e., whether three or more "1" s exist), and if so, the number of the traffic characteristic data is summarized, and then the ratio of the summarized number value to the total amount of the traffic characteristic data (i.e., 24) is used as the continuous load characteristic coefficient (i.e., continuous high load characteristic coefficient) of the cell.

For example, as shown in the above tables 6-1 and 6-2, the traffic characteristic data corresponding to the 6 th period, the 7 th period and the 8 th period are all "1", that is, the cell B is in a continuous high load state at 6:00-9:00, and meanwhile, the cell B is also in a continuous high load state at the three periods of 18-20, so that the traffic characteristic data corresponding to the cell B has 6 periods in continuous high load states, respectively, and therefore, the continuous load characteristic coefficient (that is, continuous high load characteristic coefficient) of the cell B may be 6/24=0.25.

Likewise, the continuous low-load characteristic coefficient of each cell can be calculated by the above method.

In addition, the continuous load characteristic coefficient of each cell is calculated based on the number of traffic characteristic data corresponding to three or more continuous high load states or low load states, and in a practical application scenario, there may be a plurality of different calculation methods of the continuous load characteristic coefficient, for example, the continuous load characteristic coefficient of each cell may be calculated by using the number of traffic characteristic data corresponding to four or more continuous (or two or more continuous) high load states or low load states. If the number of the selected continuous traffic characteristic data is large (for example, four or more than four continuous traffic characteristic data), failures such as station switching and service withdrawal caused by frequent capacity expansion or capacity reduction operations may be caused, and if the number of the selected continuous traffic characteristic data is small (for example, two or more than two continuous traffic characteristic data), the problem of low carrier resource scheduling benefit may exist.

In S206, a high load cell and a low load cell included in the plurality of cells are determined based on the continuous load characteristic coefficient.

In practice, the type of each cell, i.e. high load cell, low load cell or no load cell, may be determined based on the continuous load characteristic coefficient of each cell.

For example, if the continuous high load characteristic coefficient included in the continuous load characteristic coefficient of the cell is greater than a preset high load coefficient threshold (e.g., 0.125), it may be determined that the cell is a high load cell; if the continuous low load characteristic coefficient included in the continuous load characteristic coefficient is greater than a preset low load coefficient threshold (e.g., 0.125), the cell can be determined to be a low load cell; if the continuous high load characteristic coefficient and/or the continuous low load characteristic coefficient of the continuous load characteristic coefficients of the cell are smaller than the continuous load coefficient threshold value, the cell can be determined to be an unloaded cell.

In addition, if there is a cell whose continuous high load characteristic coefficient is greater than a preset high load coefficient threshold value and whose continuous low load characteristic coefficient is also greater than a preset low load coefficient threshold value, the cell may be either a high load cell or a low load cell.

In addition, if the preset high-load characteristic coefficient threshold is larger, the problem that the number of matchable low-load cells is smaller exists, and if the continuous high-load characteristic coefficient is smaller, the problem that the high-load characteristic is not obvious exists, so the preset high-load coefficient threshold can be determined according to the carrier resource scheduling requirement in the actual application scene and the number of the high-load cells and the low-load cells, and the embodiment of the invention is not limited in particular.

In S208, the matching priority of the high-load cell is determined based on the continuous load characteristic coefficient of the high-load cell.

In implementation, the matching priority of each high-load cell may be determined based on the continuous high-load characteristic coefficient of each cell, for example, the higher the continuous high-load characteristic coefficient is, the more serious the high-load condition of the cell is indicated, and the matching priority of the cell may be set to be a higher matching priority.

In S210, a matching relationship between the high load cell and the low load cell is determined based on the matching priority of the high load cell and a preset cyclic shift pairing algorithm.

In practical applications, the processing manner of S210 may be varied, and an alternative implementation manner is provided below, which can be specifically referred to as the following processing in step one and step two.

Step one, determining a target high-load cell in the high-load cells based on the matching priority of the high-load cells.

In practice, the high-load cell with the highest matching priority may be determined as the target high-load cell.

And step two, acquiring a first low-load cell in the low-load cells based on the first time corresponding to the continuous high-load characteristic data of the target high-load cell.

Wherein the time corresponding to the continuous low load characteristic data of the first low load cell may be the same as the first time.

In implementation, a first time corresponding to the continuous high load characteristic data of the target high load cell may be acquired, for example, as in S204, if the cell a is the target high load cell, as shown in table-1, the cell a is in a continuous high load state in the three time periods 9-11, that is, the continuous high load characteristic data corresponding to the three time periods are all "1", and the corresponding first time may be 9:00-12:00.

The first low-load cell with the time of 9:00-12:00 corresponding to the continuous low-load state can be obtained from the set N containing all the low-load cells, that is, the low-load characteristic data corresponding to the first low-load cell in the 9 th-11 th three time periods are all "-1", as shown in table 6-1, and the obtained first low-load cell can be the cell B.

The next execution step may be determined according to the acquisition situation of the first low load cell, for example, if the first low load cell exists, the third step may be continuously executed, and if the first low load cell does not exist, the fourth to sixth steps may be continuously executed.

And thirdly, determining the first low-load cell as a target low-load cell matched with the target high-load cell.

In the implementation, in the step two, the time corresponding to the continuous low-load characteristic data of the cell B is 9:00-12:00, and the time corresponding to the continuous high-load characteristic data of the target high-load cell (i.e., the cell a) is the same as the first time corresponding to the continuous high-load characteristic data of the target high-load cell, and the cell B is the target low-load cell matched with the target high-load cell.

After the end of the third execution, the seventh execution may be continued.

And step four, acquiring a second time including the first time based on the first time and a preset step length under the condition that the first low-load cell does not exist in the low-load cell.

In implementation, as described in the above step two, assuming that the cell a is the target high load cell, if there is no first low load cell corresponding to the first time (i.e. there is no cell B), the second time may be acquired based on the first time and the preset step size.

For example, the period corresponding to the start time of the first time may be set to X, the period corresponding to the end time of the first time may be set to Y, and then X may be gradually decreased or Y may be increased based on a preset step size to obtain the corresponding second time. Assuming that the first time is 9:00-12:00 and the preset step length is one hour, X can be 9, Y can be 11, the corresponding second time is 8:00-12:00 based on the reduction of the preset step length, and the corresponding second time is 9:00-13:00 based on the increase of the preset step length.

And step five, acquiring a second low-load cell in the low-load cells.

Wherein the time corresponding to the continuous low load characteristic data of the second low load cell may be the same as the second time.

In an implementation, a second low-load cell, in which a time corresponding to continuous low-load characteristic data is the same as a second time, may be acquired from among the low-load cells. For example, the second time is 8:00-12:00, the corresponding second low-load cell may be cell D, that is, cell D is in a continuous low-load state in four time periods of 8-11, the corresponding traffic characteristic data is four continuous "-1", and the second time is 9:00-13:00, the corresponding second low-load cell may be cell E, that is, cell E is in a continuous low-load state in four time periods of 9-12.

And step six, determining the second low-load cell as a target low-load cell matched with the target high-load cell.

In implementation, if there are a plurality of second low-load cells, one second low-load cell satisfying the preset screening rule may be selected based on the preset screening rule, and determined as the target low-load cell. For example, the effective RRC number of each second low load cell in the matching period (i.e., the second time) may be acquired, and in the second time, the second low load cell with the smallest effective RRC number is selected as the target low load cell.

Further, if there is no second low-load cell among the low-load cells, a third time including the second time may be acquired based on the first time and the first preset step size, then a third low-load cell among the low-load cells may be acquired, a time corresponding to continuous low-load characteristic data of the third low-load cell may be the same as the third time, and then the third low-load cell may be determined as the target low-load cell.

The first preset step length may be a preset step length plus one, and if the preset step length is 1 hour, the first preset step length may be 2 hours, and based on the first preset step length, X is gradually reduced or Y is gradually increased, so that a plurality of third times including the second time may be obtained. For example, assuming that the first time may be 9:00-12:00 and the preset step size is 1 hour, then X is 9 and Y is 11, and decreasing X or increasing Y based on the first preset step size may result in corresponding third times of 7:00-12:00, 8:00-13:00, and 9:00-14:00.

In addition, if there is no third low-load cell among the low-load cells, a fourth time including the third time may be acquired based on the first time and the second preset step size, and then a fourth low-load cell among the low-load cells may be acquired, and the fourth low-load cell may be determined as the target low-load cell. The second preset step size may be the first preset step size plus one.

And carrying out cyclic searching based on the mode until the low-load cell which is not matched with the target high-load cell is not matched in the set containing the low-load cells.

And step seven, determining the matching relation between other high-load cells and low-load cells based on the mode of obtaining the target low-load cell matched with the target high-load cell.

In the implementation, a high-load cell with the highest matching priority in other high-load cells can be obtained as a target high-load cell based on the matching priority of the high-load cell, then a target low-load cell matched with the target high-load cell is obtained based on the steps two to six, and the matching relation between the high-load cell and the low-load cell can be determined by pushing the above.

Example III

The carrier resource scheduling method provided in the above embodiments of the present invention is based on the same concept, and the embodiments of the present invention further provide a carrier resource scheduling device, as shown in fig. 3.

The carrier resource scheduling device comprises: an acquisition module 301, a determination module 302, a matching module 303 and a scheduling module 304, wherein:

an obtaining module 301, configured to obtain a continuous load characteristic coefficient of each of a plurality of cells in a wireless communication system within a preset statistical period;

a determining module 302, configured to determine a high-load cell and a low-load cell included in the plurality of cells based on the continuous load characteristic coefficients;

a matching module 303, configured to determine a matching relationship between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm;

and the scheduling module 304 is configured to perform carrier resource scheduling between the high-load cell and the low-load cell that have a matching relationship.

In the embodiment of the present invention, the obtaining module 301 includes:

In an embodiment of the present invention, the second obtaining unit is configured to:

In the embodiment of the present invention, the matching module 303 includes:

In an embodiment of the present invention, the matching unit is configured to:

In an embodiment of the present invention, the apparatus further includes:

The embodiment of the invention provides a carrier resource scheduling device, which is used for determining a high-load cell and a low-load cell contained in a plurality of cells based on continuous load characteristic coefficients by acquiring the continuous load characteristic coefficients of each cell in the plurality of cells in a wireless communication system in a preset statistical period, determining a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and performing carrier resource scheduling between the high-load cell and the low-load cell with the matching relation. Therefore, the high-load cell and the low-load cell in the cells corresponding to different base stations can be determined according to the continuous load characteristic coefficients without manually monitoring the traffic of different cells, so that the labor cost is reduced, and the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, so that the problem of high error probability in carrier resource scheduling caused by manually estimating the traffic according to experience is solved, and the efficiency and the accuracy of carrier resource scheduling are improved.

Example IV

Figure 4 is a schematic diagram of a hardware architecture of an electronic device implementing various embodiments of the invention,

the electronic device 400 includes, but is not limited to: radio frequency unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, processor 410, and power source 411. Those skilled in the art will appreciate that the electronic device structure shown in fig. 4 is not limiting of the electronic device and that the electronic device may include more or fewer components than shown, or may combine certain components, or a different arrangement of components. In the embodiment of the invention, the electronic equipment comprises, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer and the like.

The processor 410 is configured to obtain a continuous load characteristic coefficient of each of a plurality of cells in the wireless communication system within a preset statistical period;

a processor 410 further configured to determine a high load cell and a low load cell included in the plurality of cells based on the continuous load characteristic coefficients; the processor 410 is further configured to determine whether the target short message is an abnormal short message based on the similarity.

The processor 410 is further configured to determine a matching relationship between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm;

the processor 410 is further configured to perform carrier resource scheduling between the high load cell and the low load cell having a matching relationship.

In addition, the processor 410 is further configured to obtain traffic statistics of each of the plurality of cells in the preset statistics period;

in addition, the processor 410 is further configured to obtain a continuous load characteristic coefficient of each of the plurality of cells based on a preset time granularity and the traffic statistics.

In addition, the processor 410 is further configured to obtain traffic load feature data corresponding to the traffic statistics of each cell based on the preset time granularity and a preset load judgment criterion;

in addition, the processor 410 is further configured to determine a continuous load characteristic coefficient of each cell based on the traffic load characteristic data of each cell.

The processor 410 is further configured to determine a continuous load characteristic coefficient of each cell based on continuous high load characteristic data and/or continuous low load characteristic data in the traffic load characteristic data of the each cell.

In addition, the processor 410 is further configured to determine a matching priority of the high-load cell based on the continuous load characteristic coefficient of the high-load cell;

in addition, the processor 410 is further configured to determine a matching relationship between the high load cell and the low load cell based on the matching priority of the high load cell and the preset cyclic shift pairing algorithm.

In addition, the processor 410 is further configured to determine a target high-load cell of the high-load cells based on the matching priority of the high-load cells;

in addition, the processor 410 is further configured to obtain a first low-load cell based on a first time corresponding to the continuous high-load characteristic data of the target high-load cell, where the time corresponding to the continuous low-load characteristic data of the first low-load cell is the same as the first time;

further, the processor 410 is further configured to determine the first low load cell as a target low load cell that matches the target high load cell;

in addition, the processor 410 is further configured to determine a matching relationship between the other high-load cell and the low-load cell based on a manner of obtaining the target low-load cell that matches the target high-load cell.

In addition, the processor 410 is further configured to obtain, in the low-load cell, a second time including the first time based on the first time and a preset step size when the first low-load cell is not present;

in addition, the processor 410 is further configured to obtain a second low load cell, where a time corresponding to continuous low load characteristic data of the second low load cell is the same as the second time;

in addition, the processor 410 is further configured to determine the second low load cell as the target low load cell that matches the target high load cell.

The embodiment of the invention provides electronic equipment, which is used for determining a high-load cell and a low-load cell contained in a plurality of cells based on continuous load characteristic coefficients by acquiring the continuous load characteristic coefficients of each cell in the plurality of cells in a wireless communication system in a preset statistical period, determining a matching relationship between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and carrying out carrier resource scheduling between the high-load cell and the low-load cell with the matching relationship. Therefore, the high-load cell and the low-load cell in the cells corresponding to different base stations can be determined according to the continuous load characteristic coefficients without manually monitoring the traffic of different cells, so that the labor cost is reduced, and the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, so that the problem of high error probability in carrier resource scheduling caused by manually estimating the traffic according to experience is solved, and the efficiency and the accuracy of carrier resource scheduling are improved.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 401 may be used for receiving and transmitting signals during the process of receiving and transmitting information or communication, specifically, receiving downlink data from a base station and then processing the received downlink data by the processor 410; and, the uplink data is transmitted to the base station. Typically, the radio frequency unit 401 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 401 may also communicate with networks and other electronic devices through a wireless communication system.

The electronic device provides wireless broadband internet access to the user through the network module 402, such as helping the user to send and receive e-mail, browse web pages, and access streaming media, etc.

The audio output unit 403 may convert audio data received by the radio frequency unit 401 or the network module 402 or stored in the memory 409 into an audio signal and output as sound. Also, the audio output unit 403 may also provide audio output (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the electronic device 400. The audio output unit 403 includes a speaker, a buzzer, a receiver, and the like.

The input unit 404 is used to receive an audio or video signal. The input unit 404 may include a graphics processor (Graphics Processing Unit, GPU) 4041 and a microphone 4042, the graphics processor 4041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 406. The image frames processed by the graphics processor 4041 may be stored in memory 409 (or other storage medium) or transmitted via the radio frequency unit 401 or the network module 402. The microphone 4042 may receive sound and may be capable of processing such sound into audio data. The processed audio data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 401 in the case of a telephone call mode.

The electronic device 400 also includes at least one sensor 405, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 4061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 4061 and/or the backlight when the electronic device 400 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for recognizing the gesture of the electronic equipment (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; the sensor 405 may further include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which are not described herein.

The display unit 406 is used to display information input by a user or information provided to the user. The display unit 406 may include a display panel 4061, and the display panel 4061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 407 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the electronic device. Specifically, the user input unit 407 includes a touch panel 4071 and other input devices 4072. The touch panel 4071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 4071 or thereabout using any suitable object or accessory such as a finger, stylus, etc.). The touch panel 4071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 410, and receives and executes commands sent from the processor 410. In addition, the touch panel 4071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 407 may include other input devices 4072 in addition to the touch panel 4071. In particular, other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.

Further, the touch panel 4071 may be overlaid on the display panel 4061, and when the touch panel 4071 detects a touch operation thereon or thereabout, the touch operation is transferred to the processor 410 to determine the type of touch event, and then the processor 410 provides a corresponding visual output on the display panel 4061 according to the type of touch event. Although in fig. 4, the touch panel 4071 and the display panel 4061 are two independent components for implementing the input and output functions of the electronic device, in some embodiments, the touch panel 4071 may be integrated with the display panel 4061 to implement the input and output functions of the electronic device, which is not limited herein.

The interface unit 408 is an interface to which an external device is connected to the electronic apparatus 400. For example, the external devices may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 408 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic apparatus 400 or may be used to transmit data between the electronic apparatus 400 and an external device.

Memory 409 may be used to store software programs as well as various data. The memory 409 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, memory 409 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

The processor 410 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 409 and invoking data stored in the memory 409, thereby performing overall monitoring of the electronic device. Processor 410 may include one or more processing units; preferably, the processor 410 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 410.

The electronic device 400 may also include a power supply 411 (e.g., a battery) for powering the various components, and preferably the power supply 411 may be logically connected to the processor 410 via a power management system that performs functions such as managing charging, discharging, and power consumption.

Preferably, the embodiment of the present invention further provides an electronic device, including a processor 410, a memory 409, and a computer program stored in the memory 409 and capable of running on the processor 410, where the computer program when executed by the processor 410 implements each process of the above embodiment of the carrier resource scheduling method, and the same technical effects can be achieved, and for avoiding repetition, a description is omitted herein.

Example five

The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the carrier resource scheduling method embodiment, and can achieve the same technical effects, so that repetition is avoided and no further description is given here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.

The embodiment of the invention provides a computer readable storage medium, which is used for determining a high-load cell and a low-load cell contained in a plurality of cells based on continuous load characteristic coefficients by acquiring the continuous load characteristic coefficients of each cell in the plurality of cells in a wireless communication system in a preset statistical period, determining a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and carrying out carrier resource scheduling between the high-load cell and the low-load cell with the matching relation. Therefore, the high-load cell and the low-load cell in the cells corresponding to different base stations can be determined according to the continuous load characteristic coefficients without manually monitoring the traffic of different cells, so that the labor cost is reduced, and the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, so that the problem of high error probability in carrier resource scheduling caused by manually estimating the traffic according to experience is solved, and the efficiency and the accuracy of carrier resource scheduling are improved.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.

Claims

1. A carrier resource scheduling method, which is used for implementing carrier resource scheduling between cells corresponding to different base stations, the method comprising:

acquiring a continuous load characteristic coefficient of each cell in a plurality of cells in a wireless communication system in a preset statistical period, wherein the continuous load characteristic coefficient is the duty ratio condition of time of each cell in a continuous high-load state or continuous low-load state in the preset statistical period;

carrier resource scheduling is carried out between the high-load cell and the low-load cell with the matching relationship;

acquiring traffic load characteristic data corresponding to traffic statistical information of each cell based on a preset time granularity and a preset load judgment standard;

2. The method of claim 1, wherein said determining a continuous load signature factor for each cell based on said traffic load signature data for each cell comprises:

3. The method according to claim 2, wherein the determining a matching relationship between the high load cell and the low load cell based on a preset cyclic shift pairing algorithm comprises:

4. The method of claim 3, wherein the determining a matching relationship between the high load cell and the low load cell based on the matching priority of the high load cell and the preset cyclic shift pairing algorithm comprises:

5. The method of claim 4, wherein after the determining the first low-load cell as the target low-load cell that matches the target high-load cell, further comprising:

6. A carrier resource scheduling apparatus, the apparatus comprising:

the acquisition module is used for acquiring a continuous load characteristic coefficient of each cell in a plurality of cells in the wireless communication system in a preset statistical period, wherein the continuous load characteristic coefficient is the duty ratio condition of the time of each cell in a continuous high-load state or continuous low-load state in the preset statistical period;

the scheduling module is used for scheduling carrier resources between the high-load cell and the low-load cell with the matching relationship;

the acquisition module comprises:

A second obtaining unit, configured to obtain traffic load feature data corresponding to traffic statistics information of each cell based on a preset time granularity and a preset load judgment standard;

7. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the carrier resource scheduling method of any one of claims 1 to 5.

8. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the carrier resource scheduling method according to any one of claims 1 to 5.