CN113260069A

CN113260069A - Carrier resource scheduling method and device and electronic equipment

Info

Publication number: CN113260069A
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: 2021-08-13
Anticipated expiration: 2040-02-13
Also published as: CN113260069B

Abstract

The embodiment of the invention discloses a carrier resource scheduling method, a carrier resource scheduling device and electronic equipment, which are used for realizing carrier resource scheduling among cells corresponding to different base stations, and the method comprises the following steps: the method 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 scheduling carrier resources between the high-load cell and the low-load cell with the matching relation. By the method, the carrier resource scheduling can be performed between the matched high-load cell and the low-load cell, and the efficiency and the accuracy of the 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, an apparatus, and an electronic device.

Background

Currently, the admission (license) of wireless network carrier resources adopts a static configuration method, but because wireless communication traffic has a tidal effect, the carrier resources do not always work in a normal load state, and therefore, the reasonable allocation and utilization of the carrier resources become a concern for operators.

When the carrier resources among different cells are scheduled, the telephone 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 process. For example, the peak traffic of the residential area occurs in the morning and in the evening, and the peak traffic of the business area occurs in the working hours of the day, the carrier resources between the residential area and the traffic area with different load states can be scheduled in the same time in a manual scheduling mode.

However, the above manual method for scheduling carrier resources of different cells has the following problems: in addition, because the telephone traffic of different cells needs to be monitored manually and then the carrier resources are scheduled, a certain error probability exists, and the efficiency and accuracy of carrier resource scheduling are low.

Disclosure of Invention

The embodiment of the invention aims to provide a carrier resource scheduling method, a carrier resource scheduling device and electronic equipment, and aims to solve the problems of low carrier resource scheduling efficiency and poor accuracy in the prior art when carrier resources of different cells are scheduled manually.

To solve the above technical problem, the embodiment of the present invention is implemented as follows:

in a first aspect, a method for scheduling carrier resources provided in an embodiment of the present invention is used 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 contained 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 scheduling carrier resources between the high-load cell and the low-load cell which have the matching relation.

The acquiring of the continuous load characteristic coefficient of each cell in the plurality of cells in the wireless communication system within the preset statistical period includes:

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

and 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 obtaining a continuous load characteristic coefficient of each cell in the multiple cells based on the preset time granularity and the traffic statistic information 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 a 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 continuous high load characteristic data and/or continuous low load characteristic data in the traffic load characteristic data of each cell.

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

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

and 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 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 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 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 cell based on the mode of obtaining the target low-load cell matched with the target high-load cell.

Optionally, after the determining the first low load cell as a target low load cell matching the target high load cell, the method further includes:

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

acquiring a second low-load cell, wherein the time corresponding to the 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 system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a continuous load characteristic coefficient of each cell in a plurality of cells in a 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 multiple cells based on the continuous load characteristic coefficient;

the matching module is used for determining the 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 the carrier resources between the high-load cell and the low-load cell which have the matching relation.

Optionally, the obtaining module includes:

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

and the second obtaining unit is used for obtaining 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:

a time obtaining module, configured to obtain, in the low-load cell, a second time including the first time based on the first time and a preset step length when the first low-load cell does not exist;

a cell obtaining module, configured to obtain a second low-load cell, where a time corresponding to continuous low-load feature data of the second low-load cell is the same as the second time;

and a cell determining module, configured to determine 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, which includes a processor, a memory, and a computer program stored in 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 embodiments.

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

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

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

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

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

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

fig. 4 is a diagram of an electronic device according to an embodiment of the 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 those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Example one

As shown in fig. 1, an embodiment of the present invention provides a carrier resource scheduling method, which is used to implement carrier resource scheduling between cells corresponding to different base stations, where an execution main body of the method may be a server, and the server may be an independent server or a server cluster composed of multiple servers. The method may specifically comprise the steps of:

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

The preset statistical period may be any time period, such as 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 an occupation ratio of time of a cell in a continuous high load state or a continuous low load state within the preset statistical period, and the continuous load characteristic coefficient may be pre-stored or determined based on preset traffic index data of each cell within the preset statistical period.

In practice, currently, the admission (license) of wireless network carrier resources adopts a static configuration method, but because wireless communication traffic has a tidal effect, the carrier resources do not always work in a normal load state, and therefore, the reasonable allocation and utilization of the carrier resources become a concern for operators. When the carrier resources among different cells are scheduled, the telephone 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 process. For example, the peak traffic of the residential area occurs in the morning and in the evening, and the peak traffic of the business area occurs in the working hours of the day, the carrier resources between the residential area and the traffic area with different load states can be scheduled in the same time in a manual scheduling mode.

However, the above manual method for scheduling carrier resources of different cells has the following problems: in addition, because the telephone traffic of different cells needs to be monitored manually and then the carrier resources are scheduled, a certain error probability exists, and the efficiency and accuracy of carrier resource scheduling are low. Therefore, an embodiment of the present invention provides a technical solution capable of solving the above problems, which may specifically include the following:

the method can acquire data corresponding to the preset traffic index of each cell in a 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 of Radio Resource Control (RRC) number of data transmission, Physical Uplink Shared Channel (PUSCH) utilization rate, Physical Downlink Shared Channel (PDSCH) utilization rate, Physical Downlink Control Channel (PDCCH) utilization rate, Uplink traffic, Downlink traffic, and other indexes.

For example, the PUSCH utilization rate and the PDSCH utilization rate of each cell for the first three days (i.e., three days in the preset statistical period) may be obtained, and the continuous load characteristic coefficient of each cell may be determined according to the PUSCH utilization rate and the PDSCH utilization rate for the three days. Assuming that the PUSCH utilization and PDSCH utilization for cell 1 on days 1/1 to 3/1 can be obtained, the obtained data can be as 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％

It is assumed that the cell may be determined to be in a high load state when both the PUSCH utilization rate and the PDSCH utilization rate are greater than 50%, and may be determined to be in a low load state when both the PUSCH utilization rate and the PDSCH utilization rate are less than 20%. As can be seen from table 1, cell 1 is in the high load state on both days 1 and 3, and in the preset statistical period, the low load state does not occur, then the continuous load characteristic coefficient of 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 realizable determination method, and in an actual application scenario, a plurality of different acquisition methods may be provided, which may be different according to different actual application scenarios, for example, a 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 in the plurality of cells meets the continuous high load characteristic or the continuous low load characteristic, and determine the cell meeting the continuous high load characteristic as a high load cell and the cell meeting the continuous low load characteristic as 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 similarly, 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 assuming that 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 determination method for the high load cell and the low load cell is an optional and realizable determination method, and in an actual application scenario, there may be a plurality of different determination methods, which may be different according to different actual application scenarios, and the embodiment of the present invention is not limited specifically.

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 determining the high load cells and the low load cells, 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 matching each high load cell may be obtained based on a preset cyclic shift pairing algorithm, respectively.

For example, assuming that the preset statistical period is 1 month and 1 day to 1 month and 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 during which the high-load cell 1 is in the continuous high-load state within 1 month and 1 day to 1 month and 5 days (assuming that the high-load cell is in the continuous high-load state within 1 month and 2 days to 1 month and 3 days), and set the start time in the continuous high-load state to X (e.g., 1 month and 2 days) and the end time to Y (e.g., 1 month and 3 days). In set N, a low load cell matching high load cell 1 may be selected based on X and Y (e.g., a low load cell in a continuous low load state at 1 month 2 day to 1 month 3 day may be screened in set N). If there are no low load cells in the set N that match X and Y (i.e., there are no low load cells in the set N that are in a continuous low load state from 1/month 2 to 1/month 3), then the value of Y may be gradually increased and the value of X may be decreased, and re-matching may be performed until there are couples and cells that match high load cell 1, or the number of cells in the set N that can match low load cells is 0. For example, a low-load cell in a continuous low-load state on 1/month 2/day to 1/month 4/day (or 1/month 1/day to 1/month 3/day) may be acquired as a low-load cell matched to the high-load cell 1.

The above-mentioned is to determine the matched low-load cell when the high-load cell is in the continuous high-load state, and may also determine the matched high-load cell when 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 the matching relationship.

In implementation, in a new preset statistical period, carrier resources may be scheduled between a high-load cell and a low-load cell having a matching relationship.

In addition, in different preset statistical periods, the same high load cell may match different low load cells, for example, assuming that the high load cell 1 is a business cell, the low load cell 2 is a residential cell, and the low load cell 3 is a business-living dual-purpose cell, when the preset statistical period 1 is monday to friday, the high load cell 1 may match the low load cell 2, and when the preset statistical period 2 is saturday to sunday, the high load cell 1 may match the low load cell 3.

In the new preset statistical period, a low-load cell corresponding to each high-load cell can be obtained according to the type of the preset statistical period, and then the scheduling of carrier resources is performed in the matched high-load cell and low-load cell. For example, on working days, carrier resource scheduling may be performed between the high load cell 1 and the low load cell 2, and on rest days, 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 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 contained 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 scheduling carrier resources 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, the high-load cell and the low-load cell are determined without manually monitoring the telephone traffic of different cells, the labor cost is reduced, the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, the problem of high error probability in carrier resource scheduling caused by manually estimating the telephone traffic according to experience is solved, and the efficiency and the accuracy of the 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 to implement carrier resource scheduling between cells corresponding to different base stations, where an execution main body of the method may be a server, and the server may be an independent server or a server cluster composed of multiple servers. The method may specifically comprise the steps of:

in S202, traffic statistics information of each of the multiple cells in a preset statistics period is obtained.

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

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

The preset traffic indicators may include a plurality of preset traffic indicators, and different preset traffic indicators (i.e., different traffic statistical information is selected) may be selected according to different actual application scenarios, which is not specifically limited in the embodiment of the present invention.

In S204, based on the preset time granularity and the traffic statistic information, 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 in a continuous low load state may be obtained based on the preset time granularity and the traffic statistic information of each cell, and then the continuous load characteristic coefficient of each cell may be determined according to the duration of the preset statistic period. For example, if the preset statistical period is one day, and the corresponding preset time granularity may be one hour, the traffic statistical information of each cell may be divided into 24 sub-traffic statistical information, the load state of the 24 sub-traffic statistical information is determined, and 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 various, and an alternative implementation manner is provided below, which may specifically refer to the following processing of step one and step two.

Step one, 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.

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

TABLE 2

It is assumed that the preset load judgment criteria include a high load judgment criterion and a low load judgment criterion, where the high load judgment criterion may include criterion 1, criterion 2 and criterion 3, the specific judgment contents of these three criteria may be shown in table 3, and the low load judgment criterion may be shown in table 4.

TABLE 3

TABLE 4

The obtained traffic statistic information of each cell may be determined based on tables 3 and 4, so as to obtain traffic characteristic data of each cell. For example, taking table 2 as an example, if none of 7 traffic indicator data of cell 1 at 10:00 satisfies 3 high load criteria in table 3 and the low load determination criterion in table 4, the traffic characteristic data corresponding to 10:00 may be set to 0, and 7 traffic indicator data of cell 1 at 15:00 satisfy criterion 1 in table 3, then it may be considered that cell 1 is in a high load state at 15:00, and the traffic characteristic data of cell 1 at 15:00 may be set to 1, and similarly, the traffic characteristic data of cell 1 at 19:00 satisfies the low load determination criterion in table 4, then cell 1 is in a low load state at 19:00, and the traffic characteristic data of cell 1 at 19:00 may be set to-1, and so on, the traffic characteristic data of cell 1 within 24 hours may be obtained. The partial traffic characteristics data may be as shown in table 5.

TABLE 5

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

In an implementation, the continuous load characteristic coefficient of each cell may be determined based on continuous high load characteristic data and/or continuous low load characteristic data in the traffic load characteristic data of each cell.

For example, traffic statistics of cell a, cell B, cell C, cell D, and cell E in a preset statistics period (e.g., 11 months and 20 days) may be obtained, and the traffic statistics of the five cells may be divided into 24 sub-traffic statistics according to a preset time granularity (e.g., one hour), and then the 24 sub-traffic statistics are converted into corresponding traffic load feature data based on a preset load determination standard, and the obtained traffic load feature data of the five cells may be as shown in tables 6-1 and 6-2. Wherein, table 6-1 is the traffic load characteristic data of 0:00-12:00 in the preset statistical period for five cells, table 6-2 is the traffic load characteristic data of 13:00-24:00 in the preset statistical period for five cells, and in table 6-1, the "0" th traffic load characteristic data may represent the traffic load characteristic data corresponding to the sub-traffic statistical information of the time period of 0:00-1:00 determined based on the 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 can be calculated based on the obtained traffic load characteristic data of each cell. For example, it may be determined whether traffic characteristic data corresponding to three or more consecutive high-load states are included in the traffic load characteristic data of each cell (i.e., whether three or more "1" s exist), and if so, the number of these traffic characteristic data is summarized, and then the ratio of the summarized value to the total amount of traffic characteristic data (i.e., 24) is used as a consecutive load characteristic coefficient (i.e., consecutive high-load characteristic coefficient) of the cell.

For example, as shown in table 6-1 and table 6-2 above, the traffic characteristic data corresponding to the 6 th time interval, the 7 th time interval, and the 8 th time interval of cell B is "1", that is, cell B is in the continuous high load state at 6:00-9:00, and at the same time, cell B is also in the continuous high load state at three time intervals of 18-20, so that 6 time intervals in the traffic characteristic data corresponding to cell B are in the continuous high load state, and therefore, the continuous load characteristic coefficient (i.e., continuous high load characteristic coefficient) of cell B may be 6/24 ═ 0.25.

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

In addition, the above-described method is to calculate the continuous load characteristic coefficient for each cell based on the number of traffic characteristic data corresponding to three or more continuous high load states or low load states, and in an actual application scenario, there may be a plurality of different methods for calculating the continuous load characteristic coefficient, for example, a method may be used to calculate the continuous load characteristic coefficient for each cell based on the number of traffic characteristic data corresponding to four or more continuous high load states or low load states (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 continuous traffic characteristic data), the faults such as station reversal, service quit and the like 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 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 an implementation, the type of each cell, i.e., a high-load cell, a low-load cell, or a 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), the cell may be determined to be a high load cell; if the continuous low-load characteristic coefficient contained in the continuous load characteristic coefficient is larger than a preset low-load coefficient threshold (such as 0.125), determining that the cell is a low-load cell; if the continuous high load characteristic coefficient and/or the continuous low load characteristic coefficient in the continuous load characteristic coefficients of the cell are smaller than the continuous load coefficient threshold value, the cell can be determined to be a non-load cell.

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

In addition, if the preset high load characteristic coefficient threshold is large, there is a problem that the number of low-load cells that can be matched is small, and if the continuous high load characteristic coefficient is small, there is a problem that the high load characteristic is not obvious, so the preset high load coefficient threshold can be determined according to the demand of carrier resource scheduling in the actual application scene and the number of the high-load cells and the low-load cells, which is not specifically limited in the embodiment of the present invention.

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 an 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, a higher continuous high-load characteristic coefficient indicates that the high-load condition of the cell is more serious, and the matching priority of the cell may be set to 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 various, and an alternative implementation manner is provided below, which may specifically refer to the following processing of step one and step two.

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

In an implementation, 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 cell 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, the first time corresponding to the continuous high load characteristic data of the target high load cell may be obtained, for example, as the cell a, the cell B, the cell C, the cell D, and the cell E described in S204, and 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 to 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 to 12: 00.

In the set N including all the low-load cells, the first low-load cell corresponding to the continuous low-load state and having the time of 9:00-12:00 may be acquired, that is, the low-load characteristic data of the first low-load cell corresponding to the three time periods 9-11 are all "-1", as shown in table 6-1, and the acquired first low-load cell may be the cell B.

The next execution step may be determined according to the acquisition condition of the first low load cell, for example, if there is a first low load cell, step three may be continuously executed, and if there is no first low load cell, steps four to six may be continuously executed.

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

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

After the execution of step three is finished, step seven can be continuously executed.

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

In implementation, as described in step two above, assuming that 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 obtained based on the first time and the preset step size.

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

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 the low load cell, corresponding to the same time as the second time in the continuous low load characteristic data may be obtained. For example, if 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 the four time periods 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 the four time periods 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 multiple second low load cells, one second low load cell meeting 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 time period (i.e., the second time) may be obtained, and the second low load cell with the smallest effective RRC number in the second time is selected as the target low load cell.

In addition, if there is no second low load cell in the low load cell, a third time including the second time may be obtained based on the first time and the first preset step, and then a third low load cell in the low load cell is obtained, where the time corresponding to the 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 is determined as the target low load cell.

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

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

And performing cyclic search based on the mode until the low-load cell 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 the low-load cell based on the mode of obtaining the target low-load cell matched with the target high-load cell.

In implementation, a high-load cell with the highest matching priority in other multiple high-load cells may be obtained based on the matching priority of the high-load cell, and the high-load cell is used as a target high-load cell, and then a target low-load cell matched with the target high-load cell is obtained based on the above steps two to six, and so on, a low-load cell matched with each high-load cell may be obtained, that is, the matching relationship between the high-load cell and the low-load cell is determined.

EXAMPLE III

Based on the same idea, the carrier resource scheduling method provided in the embodiment of the present invention further provides a carrier resource scheduling apparatus, as shown in fig. 3.

The carrier resource scheduling device comprises: an obtaining module 301, a determining 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 cell in 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 multiple cells based on the continuous load characteristic coefficient;

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;

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

In this 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 this 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 determines a high-load cell and a low-load cell contained in a plurality of cells by acquiring a continuous load characteristic coefficient of each cell in the plurality of cells in a wireless communication system in a preset statistical period based on the continuous load characteristic coefficient, determines a matching relation between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and performs 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, the high-load cell and the low-load cell are determined without manually monitoring the telephone traffic of different cells, the labor cost is reduced, the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, the problem of high error probability in carrier resource scheduling caused by manually estimating the telephone traffic according to experience is solved, and the efficiency and the accuracy of the carrier resource scheduling are improved.

Example four

Figure 4 is a schematic diagram of a hardware configuration 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 supply 411. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 4 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, 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 cell in a plurality of cells in a wireless communication system within a preset statistical period;

the processor 410 is 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 coefficient; 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 information of each cell in the multiple 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 multiple cells based on a preset time granularity and the traffic statistic information.

In addition, the processor 410 is further configured to obtain traffic load characteristic data corresponding to the traffic statistic information of each cell based on the preset time granularity and a preset load judgment standard;

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

In addition, 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 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 among 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 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;

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

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

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

in addition, the processor 410 is further configured to acquire 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;

furthermore, the processor 410 is further configured to determine the second low load cell as the target low load cell matching the target high load cell.

The embodiment of the invention provides electronic equipment, which determines a high-load cell and a low-load cell contained in a plurality of cells by acquiring a continuous load characteristic coefficient of each cell in the plurality of cells in a wireless communication system in a preset statistical period based on the continuous load characteristic coefficient, determines a matching relationship between the high-load cell and the low-load cell based on a preset cyclic shift pairing algorithm, and schedules carrier resources 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, the high-load cell and the low-load cell are determined without manually monitoring the telephone traffic of different cells, the labor cost is reduced, the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, the problem of high error probability in carrier resource scheduling caused by manually estimating the telephone traffic according to experience is solved, and the efficiency and the accuracy of the 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 sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 410; in addition, the uplink data is transmitted to the base station. Typically, radio 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. Further, the radio unit 401 can also communicate with a network and other electronic devices through a wireless communication system.

The electronic device provides wireless broadband internet access to the user via the network module 402, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.

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 related to a specific function performed by the electronic apparatus 400 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 403 includes a speaker, a buzzer, a receiver, and the like.

The input unit 404 is used to receive audio or video signals. The input Unit 404 may include a Graphics Processing Unit (GPU) 4041 and a microphone 4042, and the Graphics processor 4041 processes image data of a still picture or video obtained by an image capturing apparatus (such as 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 graphic processor 4041 may be stored in the 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 transmittable to a mobile communication base station via the radio frequency unit 401 in case of the phone call mode.

The electronic device 400 also includes at least one sensor 405, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 4061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 4061 and/or the backlight when the electronic apparatus 400 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 405 may also 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 will not be described in detail herein.

The display unit 406 is used to display information input by the 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 (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 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. Touch panel 4071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 4071 using a finger, a stylus, or any suitable object or attachment). The touch panel 4071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction 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 sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 410, receives a command from the processor 410, and executes the command. In addition, the touch panel 4071 can be implemented by using various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 4071, the user input unit 407 may include other input devices 4072. In particular, the other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described herein again.

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

The interface unit 408 is an interface for connecting an external device to the electronic apparatus 400. For example, the external device may include a wired or wireless headset port, an external power supply (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.

The memory 409 may be used to store software programs as well as various data. The memory 409 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the 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, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 409 and calling 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, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly 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 further include a power supply 411 (e.g., a battery) for supplying power to various components, and preferably, the power supply 411 may be logically connected to the processor 410 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.

Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor 410, a memory 409, and a computer program that is stored in the memory 409 and can be run on the processor 410, and when being executed by the processor 410, the computer program implements each process of the above-mentioned carrier resource scheduling method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

EXAMPLE five

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned carrier resource scheduling method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an 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 by acquiring a continuous load characteristic coefficient of each cell in the plurality of cells in a wireless communication system in a preset statistical period 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 scheduling carrier resources 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, the high-load cell and the low-load cell are determined without manually monitoring the telephone traffic of different cells, the labor cost is reduced, the high-load cell and the low-load cell are matched through a preset cyclic shift pairing algorithm, the problem of high error probability in carrier resource scheduling caused by manually estimating the telephone traffic according to experience is solved, and the efficiency and the accuracy of the carrier resource scheduling are improved.

As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

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

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 computer storage media 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 Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for scheduling carrier resources is used for realizing scheduling of carrier resources among cells corresponding to different base stations, and the method comprises the following steps:

2. The method of claim 1, wherein the obtaining the continuous load characteristic coefficient of each of the plurality of cells in the wireless communication system within a preset statistical period comprises:

3. The method of claim 2, wherein the obtaining the continuous load characteristic coefficient of each of the plurality of cells based on the preset time granularity and the traffic statistic information comprises:

4. The method of claim 3, wherein determining the continuous load characteristic coefficient for each cell based on the traffic load characteristic data for each cell comprises:

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

6. The method according to claim 5, wherein the determining the 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:

7. The method of claim 6, wherein after determining the first low load cell as a target low load cell matching the target high load cell, further comprising:

8. An apparatus for scheduling carrier resources, the apparatus comprising:

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

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the carrier resource scheduling method according to any one of claims 1 to 7.