Base station energy-saving control method, electronic equipment and storage medium

Abstract

The invention provides a base station energy-saving control method, electronic equipment and a storage medium, and the method comprises the steps: firstly obtaining a first current telephone traffic load and a historical telephone traffic load of a target cell at a first moment; according to the embodiment of the invention, the base station energy-saving control is carried out according to the telephone traffic characteristics, so that the deployment accuracy of an energy-saving strategy can be improved, and the energy-saving efficiency of the base station can be improved. The traffic fluctuation error of the target cell at the first moment can be determined according to the first current traffic load and the historical traffic load, and the base station energy-saving control is carried out on the target cell according to the traffic fluctuation error. The energy conservation and consumption reduction of the base station are improved to the maximum extent while the network performance is guaranteed, and the energy consumption of the base station is effectively reduced.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of base station energy saving, and in particular, to a base station energy saving control method, an electronic device, and a storage medium. Background Art

[0002] Among the total power consumption of the mobile communication network, the power consumption of the wireless network is the main part, and the power consumption of the base station equipment in the wireless network has accounted for 50% to 80%. Therefore, base station energy saving is the key to the energy saving of the entire mobile communication network, and how to effectively reduce the base station energy consumption has become the most concerned technical problem for communication operators. Summary of the Invention

[0003] The embodiments of the present application provide a base station energy saving control method, an electronic device, and a storage medium, which can effectively reduce the base station energy consumption.

[0004] In a first aspect, the embodiments of the present application provide a base station energy saving control method, and the method includes:

[0005] Obtain the first current traffic load and the historical traffic load of the target cell at the first moment;

[0006] Determine the traffic fluctuation error of the target cell at the first moment according to the first current traffic load and the historical traffic load;

[0007] Perform base station energy saving control on the target cell according to the traffic fluctuation error.

[0008] In a second aspect, the embodiments of the present application provide an electronic device, including:

[0009] One or more processors;

[0010] A memory having one or more programs stored thereon, and when the one or more programs are executed by the one or more processors, the one or more processors implement the base station energy saving control method as described in the first aspect above.

[0011] In a third aspect, the embodiments of the present application provide a computer-readable storage medium, having a computer program stored thereon, and when the program is executed by a processor, the base station energy saving control method as described in the first aspect above is implemented.

[0012] The base station energy-saving control method, electronic device, and storage medium provided by the embodiments of the present application. The base station energy-saving control method first obtains the first current traffic load and historical traffic load of the target cell at the first moment, then determines the traffic fluctuation error of the target cell at the first moment according to the first current traffic load and historical traffic load, and then performs base station energy-saving control on the target cell according to the traffic fluctuation error. The embodiments of the present application perform base station energy-saving control based on traffic characteristics, which can improve the accuracy of energy-saving strategy deployment, maximize the energy-saving and consumption reduction of the base station while ensuring network performance, and effectively reduce the energy consumption of the base station. Description of the Drawings

[0013] The drawings are used to provide a further understanding of the technical solutions of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation to the technical solutions of the present invention.

[0014] Figure 1 It is a schematic flowchart of a base station energy-saving control method provided by an embodiment of the present application;

[0015] Figure 2 is Figure 1 A sub-step flowchart of step S130 in

[0016] Figure 3 is Figure 2 A sub-step flowchart of step S220 in

[0017] Figure 4 is Figure 3 A sub-step flowchart of step S330 in

[0018] Figure 5 is Figure 3 A sub-step flowchart of step S310 in

[0019] Figure 6 It is a schematic flowchart of a base station energy-saving control method provided by another embodiment of the present application;

[0020] Figure 7 It is a schematic flowchart of a base station energy-saving control method provided by another embodiment of the present application;

[0021] Figure 8 It is a schematic diagram of the device structure of the electronic device provided by the embodiment of the present application. Detailed Embodiments

[0022] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0023] It should be understood that in the description of the embodiments of the present application, if there is a description of "first", "second", etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features. "At least one" means one or more, and "a plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can indicate the situation of A existing alone, A and B existing simultaneously, and B existing alone. Wherein A and B can be singular or plural. The character " / " generally indicates that the associated objects before and after are an "or" relationship. "At least one of the following" and its similar expressions refer to any group of these items, including any group of single items or plural items. For example, at least one of a, b, and c can indicate: a, b, c, a and b, a and c, b and c, or a, b, and c, where a, b, and c can be single or multiple.

[0024] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0025] In the total power consumption of the mobile communication network, the power consumption of the wireless network is the main part, and the power consumption of the base station equipment in the wireless network has accounted for 50% to 80%. Therefore, base station energy saving is the key to the energy saving of the entire mobile communication network, and how to effectively reduce the base station energy consumption has become the most concerned technical problem for communication operators.

[0026] Based on this, the embodiments of the present application provide a base station energy saving control method, an electronic device, and a storage medium, which can effectively reduce the base station energy consumption.

[0027] The base station energy saving control method provided by the embodiments of the present application can be applied to a base station. As the base station energy saving computing center, this base station is responsible for the energy saving control of the base stations within a specified area. Please refer to Figure 1 , Figure 1 which shows a base station energy saving control method provided by the embodiments of the present application. As shown in Figure 1 ,this base station energy saving control method includes but is not limited to steps S110 to S130.

[0028] Step S110, obtain the first current traffic load and the historical traffic load of the target cell at the first moment.

[0029] It should be noted that each mobile communication network cell is served by one or more base stations. The traffic load of a cell refers to the communication volume processed by the base stations in the cell within a specific time, including voice calls, data transmissions, etc. Among them, the data traffic of the cell covers various data transmissions by users through the mobile communication network, such as web browsing, video streaming, application downloads, etc.

[0030] It can be understood that the first current traffic load refers to the traffic load of the target cell at the first moment, while the historical traffic load refers to the traffic load of the target cell at the historical first moment. For example, obtaining the current traffic load of the target cell at 3:30 pm and obtaining the traffic load of the target cell at 3:30 pm in history.

[0031] Step S120, determine the traffic fluctuation error of the target cell at the first moment according to the first current traffic load and the historical traffic load.

[0032] It should be understood that after obtaining the first current traffic load and the historical traffic load of the target cell at the first moment, determine the traffic fluctuation error of the target cell at the first moment according to the first current traffic load and the historical traffic load. Among them, the traffic fluctuation error refers to the level of traffic fluctuation of the current traffic load of the target cell at the first moment compared with the historical traffic load. The lower the traffic fluctuation error, the more stable the network traffic load of the current cell, and the smaller the traffic volatility and jitter. On the contrary, if the traffic fluctuation error is higher, it means that the network traffic load of the current cell is less stable, and the traffic volatility and jitter are greater.

[0033] In some embodiments, the historical traffic load includes the traffic load records and average traffic load of the target cell at the first moment in the historical N days, where N is an integer greater than 0.

[0034] Correspondingly, determining the traffic fluctuation error of the target cell at the first moment according to the first current traffic load and the historical traffic load includes: determining the traffic fluctuation error of the target cell at the first moment according to the predefined traffic load lower limit value, the first current traffic load, the traffic load records of the target cell at the first moment in the historical N days, and the average traffic load.

[0035] It can be understood that the historical traffic load of the target cell at the first moment includes the traffic load records and average traffic load of the target cell at the first moment in the historical N days. Exemplarily, the first moment is 3:30 pm and N is 10, that is, obtaining the first current traffic load load_true of the target cell at 3:30 pm and the traffic load records of the historical 10 days at 3:30 pm

[0036] {load_history1, load_history k, ……, load_history 10}, and calculate the average traffic load load_mean at 3:30 pm in the past 10 days based on the traffic load records {load_history1, load_history k , ……, load_history 10}. Then, based on the first current traffic load load_true, the traffic load records

[0037] {load_history1, load_history k , ……, load_history 10}, the average traffic load load_mean, and the predefined traffic load lower limit value load_lowlimit, determine the traffic fluctuation error Error of the target cell at the first moment.

[0038] In a specific embodiment, the traffic fluctuation error is the ratio of the sum of the absolute differences between the current traffic load and the historical traffic load to the historical average traffic load. Specifically, the traffic fluctuation error Error can be determined by the following formula (1).

[0039]

[0040] where Error is the traffic fluctuation error, N is the number of historical days, load_history k is the traffic load record of the target cell at the first moment on the kth historical day, load_mean is the average traffic load of the target cell at the first moment on the kth historical day, load_true is the first current traffic load of the target cell at the first moment, and load_lowlimit is the predefined traffic load lower limit value.

[0041] Step S130, perform base station energy saving control on the target cell according to the traffic fluctuation error.

[0042] It should be understood that after determining the traffic fluctuation error of the target cell at the first moment, the base station energy saving control is performed on the target cell according to the traffic fluctuation error. Among them, performing the base station energy saving control on the target cell means performing the energy saving control on the base station that provides services for the target cell, that is, performing the energy saving control on the base stations within the target cell, including instructing the base station to enter the energy saving mode or instructing the base station to exit the energy saving mode. Since the traffic fluctuation error characterizes the stability of the traffic load of the target cell at the current moment, determining the base station energy saving strategy based on the traffic fluctuation error can reduce the energy saving threshold for the base station to enter when the traffic load is stable, enabling the base station to quickly enter the energy saving mode, or increase the energy saving threshold for the base station to enter when the traffic load is unstable, enabling the base station to timely exit the energy saving mode or postpone entering the energy saving mode. The embodiments of the present application perform the base station energy saving control according to the traffic characteristics, which can improve the accuracy of the energy saving strategy deployment, maximize the energy saving and consumption reduction of the base station while ensuring the network performance, and effectively reduce the energy consumption of the base station.

[0043] In some embodiments, see Figure 2 , Figure 2 shows Figure 1 the sub-step flow schematic diagram of step S130 in Figure 2 As shown, performing the base station energy saving control on the target cell according to the traffic fluctuation error includes but is not limited to step S210 and step S220.

[0044] Step S210, determining the energy saving entry load threshold value of the target cell according to the traffic fluctuation error.

[0045] Step S220, performing the base station energy saving control on the target cell according to the energy saving entry load threshold value.

[0046] It can be understood that performing the base station energy saving control on the target cell according to the traffic fluctuation error, specifically, first determining the energy saving entry load threshold value of the target cell according to the traffic fluctuation error, and then performing the base station energy saving control on the target cell according to the energy saving entry load threshold value. Among them, the energy saving entry load threshold value represents the traffic load required to enter the energy saving mode, and is used to determine whether the base stations within the target cell can turn on the energy saving mode.

[0047] Regarding the energy-saving entry load threshold, when the traffic fluctuation error is higher, that is, when the traffic load of the target cell is more unstable, a lower energy-saving entry load threshold is set. The lower the energy-saving entry load threshold, the more stringent the traffic load requirement for the base station to enter the energy-saving mode, and the more difficult it is for the base station to turn on the energy-saving mode. When the traffic fluctuation error is lower, that is, when the traffic load of the target cell is more stable, a higher energy-saving entry load threshold is set. The higher the energy-saving entry load threshold, the more relaxed the traffic load requirement for the base station to enter the energy-saving mode, and the easier it is for the base station to turn on the energy-saving mode, which can maximize the energy saving and consumption reduction of the base station while ensuring network performance.

[0048] In a specific embodiment, when the traffic load error is less than a predefined error threshold, it is determined that the target cell adopts a first energy-saving entry load threshold. When the traffic load error is greater than or equal to the predefined error threshold, it is determined that the target cell adopts a second energy-saving entry load threshold. Among them, the first energy-saving entry load threshold is less than the second energy-saving entry load threshold.

[0049] Exemplarily, there is a predefined error threshold ErrorThr, a predefined first energy-saving entry load threshold LoadThr1, and a second energy-saving entry load threshold LoadThr2, where LoadThr2 < LoadThr1. The load fluctuation level is determined according to the error threshold, and then the corresponding energy-saving entry load threshold is determined according to the load fluctuation level. Exemplarily, when the traffic fluctuation error Error is lower than the error threshold ErrorThr, it is determined that the load fluctuation error level is "excellent", and a relatively relaxed energy-saving entry load threshold LoadThr1 is adopted. When the traffic fluctuation error Error is higher than the error threshold ErrorThr, it is determined that the load fluctuation error level is "medium and poor", and a relatively stringent energy-saving entry load threshold LoadThr2 can be adopted.

[0050] In some embodiments, refer to Figure 3 , Figure 3 shows Figure 2 the sub-step flowchart of step S220 in Figure 3 As shown, determining the energy-saving entry load threshold of the target cell according to the traffic fluctuation error includes, but is not limited to, step S310.

[0051] Step S310, determining the energy-saving entry load threshold and traffic load evaluation period of the target cell according to the traffic fluctuation error.

[0052] Correspondingly, performing base station energy-saving control on the target cell according to the energy-saving entry load threshold includes, but is not limited to, step S320 and step S330.

[0053] Step S320: During the traffic load evaluation period after the first moment, obtain the second current traffic load of the target cell at at least one second moment.

[0054] Step S330: Perform base station energy saving control on the target cell according to the second current traffic load and the energy saving entry load threshold value.

[0055] It can be understood that after determining the traffic fluctuation error corresponding to the target cell, the energy saving entry load threshold value and the traffic load evaluation period of the target cell are determined according to the traffic fluctuation error. The traffic load evaluation period refers to the time period for evaluating the traffic load of the target cell. After determining the energy saving entry load threshold value of the target cell according to the energy saving entry load threshold value, during the traffic load evaluation period after the first moment, obtain the second current traffic load of the target cell at at least one second moment, that is, perform at least one traffic load evaluation on the target cell at any moment during the traffic load evaluation period, and then perform base station energy saving control on the target cell according to the second current traffic load obtained through the traffic load evaluation and the energy saving entry load threshold value, that is, perform energy saving control on the base station in the target cell from two levels of the traffic load threshold and the evaluation traffic load period.

[0056] For the traffic load evaluation period, when the traffic fluctuation error is higher, that is, when the traffic load of the target cell is more unstable, set a longer traffic load evaluation period. The longer the traffic load evaluation period, the longer the time required to evaluate the traffic load of the target cell, and the more difficult it is for the base station to turn on the energy saving mode; when the traffic fluctuation error is lower, that is, when the traffic load of the target cell is more stable, set a shorter traffic load evaluation period. The shorter the traffic load evaluation period, the shorter the time required to evaluate the traffic load of the target cell, and the easier it is for the base station to turn on the energy saving mode.

[0057] It should be noted that a certain time interval can be preset. During the traffic load evaluation period after the first moment, based on the preset time interval, obtain the second current traffic load of the target cell at multiple second moments. For example, within the traffic load evaluation period of 10 minutes after the first moment at 3:30 pm, based on a fixed time interval of 1 minute, perform traffic load evaluations on the target cell at the second moments {3:31 pm, 3:32 pm,..., 3:40 pm} in sequence to obtain the second current traffic load of the target cell. Among them, the time interval can be fixed, or it can be increasing, decreasing, or randomly changing. The embodiments of the present application do not limit this here.

[0058] In some embodiments, refer to Figure 4 , Figure 4 shows Figure 3 The sub-step process schematic diagram of step S330 in Figure 4As shown, base station energy saving control is performed on the target cell according to the second current traffic load and the energy saving entry load threshold, including step S410 or step S420.

[0059] Step S410: When the base station in the target cell is not in the energy saving mode and all the second current traffic loads are less than the energy saving entry load threshold, instruct the base station in the target cell to enter the energy saving mode.

[0060] It should be understood that after determining the energy saving entry load threshold and the traffic load evaluation period of the target cell according to the traffic fluctuation error, at least one traffic load evaluation is performed on the target cell within the traffic load evaluation period after the first moment to obtain the second current traffic load. At the same time, each second current traffic load is compared with the energy saving entry load threshold, and base station energy saving control is performed according to the comparison result and the energy saving state of the base station in the target cell.

[0061] It can be understood that when the base station in the target cell is not in the energy saving mode and all the second current traffic loads are less than the energy saving entry load threshold, instruct the base station in the target cell to enter the energy saving mode. That is to say, within the traffic load evaluation period after the first moment, if the second current traffic load at any moment in the target cell is less than the energy saving entry load threshold, it can be determined that the base station in the target cell can enter the energy saving mode.

[0062] It should be noted that when the base station in the target cell is not in the energy saving mode and there is a second current traffic load greater than or equal to the energy saving entry load threshold, it can be determined that the base station in the target cell cannot enter the energy saving mode. In addition, after determining that the base station in the target cell cannot enter the energy saving mode, the traffic load evaluation of the target cell can continue to be performed within the traffic load evaluation period, and it can be determined whether the base station can enter the energy saving mode according to the comparison result between the current traffic load of the target cell and the energy saving entry load threshold; or, the traffic fluctuation error of the target cell can be re-obtained, and then a new energy saving entry load threshold and a traffic load evaluation period are determined according to the new traffic fluctuation error, and the energy saving control of the base station in the target cell is continued according to the new energy saving entry load threshold and the traffic load evaluation period, which can realize continuous traffic load evaluation and base station energy saving control.

[0063] It should also be noted that when multiple base stations provide services for the target cell, when at least one base station in the target cell is not in the energy saving mode and the second current traffic loads are all less than the energy saving entry load threshold, multiple base stations not in the energy saving mode can be instructed to enter the energy saving mode.

[0064] Step S420: When the base station in the target cell is in the energy-saving mode and there is a second current traffic load greater than or equal to the energy-saving entry load threshold, instruct the base station in the target cell to exit the energy-saving mode.

[0065] It can be understood that when the base station in the target cell is in the energy-saving mode and there is a second current traffic load greater than or equal to the energy-saving entry load threshold, instruct the base station in the target cell to exit the energy-saving mode. That is to say, within the traffic load evaluation period after the first moment, if it is detected that the current traffic load of the target cell at a certain moment is greater than or equal to the energy-saving entry load threshold, it can be determined that the base station in the target cell needs to exit the energy-saving mode.

[0066] It should be noted that when the base station in the target cell is in the energy-saving mode and all the second current traffic loads are less than the energy-saving entry load threshold, it is determined that the base station in the target cell can continue to maintain the energy-saving mode. In addition, after determining that the base station in the target cell maintains the energy-saving mode, the traffic load of the target cell can continue to be evaluated within the traffic load evaluation period, and it is determined whether the base station needs to exit the energy-saving mode according to the comparison result between the current traffic load and the energy-saving entry load threshold; or, the traffic fluctuation error of the target cell is re-obtained, and then the new energy-saving entry load threshold and the traffic load evaluation period are determined according to the new traffic fluctuation error, and the energy-saving control of the base station in the target cell is continued according to the new energy-saving entry load threshold and the traffic load evaluation period, which can realize continuous traffic load evaluation and base station energy-saving control.

[0067] It should also be noted that in the determination of the base station exiting the energy-saving mode, it can be that when it is detected that the current traffic load of the target cell at a certain moment is greater than or equal to the energy-saving entry load threshold, immediately instruct the base station in the target cell to exit the energy-saving mode; or, only when it is detected that there are a preset number of current traffic loads of the target cell greater than or equal to the energy-saving entry load threshold, instruct the base station in the target cell to exit the energy-saving mode.

[0068] It should also be noted that when there are multiple base stations serving the target cell, when at least one base station in the target cell is in the energy-saving mode and there is a second current traffic load greater than or equal to the energy-saving entry load threshold, multiple base stations in the energy-saving mode can be instructed to exit the energy-saving mode.

[0069] In some embodiments, refer to Figure 5 , Figure 5 shows Figure 3 the sub-step process schematic diagram of step S310 in Figure 5As shown, determining the energy-saving entry load threshold value and the traffic load evaluation period of the target cell according to the traffic fluctuation error includes one of steps S510 to S540.

[0070] Step S510, when the traffic fluctuation error is less than the first error threshold value, determine that the target cell adopts the first energy-saving entry load threshold value and the first traffic load evaluation period.

[0071] Step S520, when the traffic fluctuation error is greater than or equal to the first error threshold value and less than the second error threshold value, determine that the target cell adopts the first energy-saving entry load threshold value and the second traffic load evaluation period.

[0072] Step S530, when the traffic fluctuation error is greater than or equal to the second error threshold value and less than the third error threshold value, determine that the target cell adopts the second energy-saving entry load threshold value and the first traffic load evaluation period.

[0073] Step S540, when the traffic fluctuation error is greater than or equal to the third error threshold value, determine that the target cell adopts the second energy-saving entry load threshold value and the second traffic load evaluation period.

[0074] Among them, the first error threshold value is less than the second error threshold value, the second error threshold value is less than the third error threshold value, the first energy-saving entry load threshold value is less than the second energy-saving entry load threshold value, and the first traffic load evaluation period is less than the second traffic load evaluation period.

[0075] It should be understood that the predefined first error threshold value ErrorThr1, second error threshold value ErrorThr2, and third error threshold value ErrorThr3, where ErrorThr3 > ErrorThr2 > ErrorThr1, are used to realize the classification of the traffic load fluctuation error by using the three error threshold values.

[0076] The predefined first energy-saving entry load threshold value LoadThr1 and second energy-saving entry load threshold value LoadThr2, where LoadThr2 < LoadThr1. The first energy-saving entry load threshold value LoadThr1 is used to provide a loose energy-saving entry load requirement, and the second energy-saving entry load threshold value LoadThr2 is used to provide a strict energy-saving entry traffic load requirement. The higher the energy-saving entry load threshold value is set, the easier it is for the base station to enter the energy-saving mode, and the lower the energy-saving entry load threshold value is set, the more difficult it is for the base station to enter the energy-saving mode.

[0077] Pre-defined first traffic load evaluation period T1 and second traffic load evaluation period T2, where T2 > T1. The second traffic load evaluation period T2 is used to provide a long energy-saving entry load evaluation time. The longer the traffic load evaluation period is set, the more difficult it is for the base station to enter the energy-saving mode. The shorter the traffic load evaluation period is set, the easier it is for the base station to enter the energy-saving mode.

[0078] Specifically, if the traffic fluctuation error Error is lower than the first error threshold ErrorThr1, the load fluctuation error level can be determined as "excellent", and a loose first energy-saving entry load threshold LoadThr1 is adopted, and a shorter first traffic load evaluation period T1 is taken. When the traffic fluctuation error is low, the base station energy-saving control is performed based on the first energy-saving load threshold LoadThr1 and the first traffic load evaluation period T1, and the base station can enter the energy-saving mode more quickly.

[0079] If the traffic fluctuation error Error is higher than the first error threshold ErrorThr1 and lower than the second error threshold ErrorThr2, the load fluctuation error level can be determined as "good", and a loose first energy-saving entry load threshold LoadThr1 is adopted, and a longer second traffic load evaluation period T2 is taken. When the traffic fluctuation error is at a medium-low level, the base station energy-saving control is performed based on the first energy-saving entry load threshold LoadThr1 and the first energy-saving entry load threshold LoadThr1, and the base station can enter the energy-saving mode relatively quickly.

[0080] If the traffic fluctuation error Error is higher than the second error threshold ErrorThr2 and lower than the third error threshold ErrorThr3, the load fluctuation error level can be determined as "medium", and a strict second energy-saving entry load threshold LoadThr2 is adopted, and a shorter first traffic load evaluation period T1 is taken. When the traffic fluctuation error is at a medium-high level, the base station energy-saving control is performed based on the second energy-saving entry load threshold LoadThr2 and the first traffic load evaluation period T1. At the traffic load threshold level for the base station to enter the energy-saving mode, the requirements for the base station to enter the energy-saving mode are increased to avoid the situation where the traffic load of the target cell increases after the base station enters the energy-saving mode, resulting in a decrease in network performance and service quality.

[0081] If the traffic fluctuation error Error is higher than the third error threshold ErrorThr3, it can be determined that the load fluctuation error level is "poor", and the strict second energy-saving entry load threshold LoadThr2 is adopted, and a relatively long second traffic load evaluation period T2 is taken. When the traffic fluctuation error is at a high level, the base station energy-saving control is performed based on the second energy-saving entry load threshold LoadThr2 and the second traffic load evaluation period T2. At the level of the cycle time for traffic load evaluation of the cell and the traffic load threshold for the base station to enter the energy-saving mode, the requirements for the base station to enter the energy-saving mode are further increased, so as to avoid the situation that the traffic load of the target cell increases after the base station enters the energy-saving mode, resulting in a decrease in network performance and service quality.

[0082] In the embodiment of the present application, determining the base station energy-saving strategy of the target cell according to the traffic fluctuation error, including the cycle time for traffic load evaluation of the cell and the traffic load threshold for the base station to enter the energy-saving mode, can improve the deployment accuracy of the energy-saving strategy, and can maximize the energy-saving and consumption reduction of the base station while ensuring network performance.

[0083] In some embodiments, refer to Figure 6 , Figure 6 which shows a schematic flowchart of a base station energy-saving control method provided by an embodiment of the present application. As Figure 6 shown, the base station energy-saving control method further includes steps S610 to S630.

[0084] Step S610, obtaining the predicted traffic indicators of the target cell and the target different-frequency neighboring cell of the target cell.

[0085] It should be noted that the target different-frequency neighboring cell of the target cell is the signal overlapping neighboring cell of the target cell. For the predicted traffic indicators of the target cell and the target different-frequency neighboring cell, the traffic indicators of the target cell and the target different-frequency neighboring cell are predicted at any time granularity by performing big data analysis and modeling on the historical traffic load data of multiple cells.

[0086] In some embodiments, refer to Figure 7 , Figure 7 which shows a schematic flowchart of a base station energy-saving control method provided by an embodiment of the present application. As Figure 7 shown, the base station energy-saving control method further includes step S710 and step S720.

[0087] Step S710, obtaining the cell coverage between the target cell and the different-frequency neighboring cell of the target cell.

[0088] Step S720, in the case where the cell coverage is greater than or equal to the coverage threshold, taking the different-frequency neighboring cell as the target different-frequency neighboring cell of the target cell.

[0089] It can be understood that the coverage between cells is determined by calculating the ratio of the number of valid measurement reports of a cell to the total number of measurement reports configured for the cell. The higher the cell coverage, the more overlapping coverage areas there are between the two cells. Further, a coverage threshold between cells is predefined, and the inter-frequency neighboring cells with a cell coverage greater than or equal to the coverage threshold are used as the target inter-frequency neighboring cells of the target cell, that is, the overlapping coverage neighboring cells.

[0090] Step S620, determine the predicted transmission data volume of the target cell and the predicted bearable capacity of the target inter-frequency neighboring cell according to the predicted traffic metrics.

[0091] In some embodiments, the predicted traffic metrics include the utilization rate of the cell physical resource module and the cell spectral efficiency.

[0092] Correspondingly, determining the predicted transmission data volume of the target cell and the predicted bearable capacity of the target inter-frequency neighboring cell according to the predicted traffic metrics includes: determining the predicted transmission data volume of the target cell and the predicted bearable capacity of the target inter-frequency neighboring cell according to the utilization rate of the cell physical resource module, the cell spectral efficiency, and the effective transmission bandwidth of the target cell.

[0093] It can be understood that the utilization rate of the cell physical resource block (PRB) includes the uplink PRB utilization rate and the downlink PRB utilization rate, and the cell spectral efficiency includes the uplink spectral efficiency and the downlink spectral efficiency.

[0094] For the predicted transmission data volume of the target cell, the larger its value, the higher the predicted cell transmission data volume, that is, the busier the network and the higher the traffic load it bears; on the contrary, it means the network is more idle and the traffic load it bears is lower. Specifically, the average uplink and downlink PRB utilization rate of the cell can be determined according to the predicted downlink PRB utilization rate and the uplink PRB utilization rate, and the average uplink and downlink spectral efficiency of the cell can be determined according to the predicted uplink spectral efficiency and the downlink spectral efficiency. Finally, the product of the average uplink and downlink spectral efficiency of the cell, the effective transmission bandwidth of the cell, and the average uplink and downlink PRB utilization rate of the cell is used as the predicted transmission data volume, as shown in formula (2).

[0095] CellThput=SE*BW*PRB_Rate; (2)

[0096] Wherein, CellThput is the predicted transmission data volume, SE is the predicted average uplink and downlink spectral efficiency of the cell, BW is the effective transmission bandwidth of the cell, and PRB_Rate is the predicted average uplink and downlink PRB utilization rate of the cell.

[0097] For the predicted bearable capacity of the target inter-frequency cell, the larger the value, the higher the predicted data volume that the cell can bear, that is, the stronger the network traffic bearing capacity; on the contrary, it represents the lower the network traffic bearable capacity. Specifically, the average uplink and downlink PRB utilization rate of the cell can be determined according to the predicted downlink PRB utilization rate and uplink PRB utilization rate, the average uplink and downlink idle PRB ratio of the cell can be determined according to the average uplink and downlink PRB utilization rate of the cell, and the average uplink and downlink spectral efficiency of the cell can be determined according to the predicted uplink spectral efficiency and downlink spectral efficiency. Finally, the product of the average uplink and downlink spectral efficiency of the cell, the effective transmission bandwidth of the cell, and the average uplink and downlink idle PRB ratio of the cell is used as the predicted transmission data volume, as shown in formula (3).

[0098] CellCap = SE * BW * (1 - PRB_Rate); (3)

[0099] Among them, CellCap is the predicted transmission data volume, SE is the predicted average uplink and downlink spectral efficiency of the cell, BW is the effective transmission bandwidth of the cell, PRB_Rate is the predicted average uplink and downlink PRB utilization rate of the cell, and (1 - PRB_Rate) is the average uplink and downlink idle PRB ratio of the cell.

[0100] Step S630, perform traffic diversion control on the target cell according to the predicted transmission data volume and the predicted bearable capacity.

[0101] After determining the predicted transmission data volume of the target cell and the predicted bearable capacity of the target inter-frequency cell, perform traffic diversion control on the target cell according to the predicted transmission data volume and the predicted bearable capacity. The embodiment of the present application anticipates the change of the cell traffic load in advance, and through the traffic diversion mechanism, reduces the traffic load of the target cell on the premise of meeting the network service requirements, which can accelerate the trigger of the base station in the target cell to enter the energy-saving state and effectively reduce the base station energy consumption.

[0102] In some embodiments, performing traffic diversion control on the target cell according to the predicted transmission data volume and the predicted bearable capacity includes: when the predicted transmission data volume is less than the transmission data volume threshold and the predicted bearable capacity is greater than or equal to the bearable capacity threshold, instruct the target cell to divert traffic to the target inter-frequency area.

[0103] It is understandable that the condition for triggering the traffic diversion of the target cell to the target inter-frequency neighboring area is that the predicted transmission data volume is less than the transmission data volume threshold and the predicted bearable capacity is greater than or equal to the bearable capacity threshold. Specifically, a transmission data volume threshold ThputThr1 and a bearable capacity threshold CapThr2 are predefined. When the predicted transmission data volume of the target cell is greater than the transmission data volume threshold ThputThr1, there are overlapping coverage neighboring cells and their predicted bearable capacity is higher than the bearable capacity threshold CapThr2, the target cell is instructed to perform traffic diversion to the corresponding overlapping coverage neighboring cell to reduce the traffic load of the target cell, so that the base station in the target cell can enter the energy-saving mode more quickly.

[0104] The following describes the base station energy-saving control method provided by this application through a specific example.

[0105] This base station energy-saving control method is applied to the base station energy-saving computing center, which is responsible for the comprehensive decision-making of the base station energy-saving strategy within a specified area.

[0106] On the one hand, the base station energy-saving computing center analyzes the topological relationship of overlapping coverage among cells in the selected area. For all target cells in the area, it calculates the overlapping coverage degree, that is, the cell coverage degree, between each target cell and its inter-frequency neighboring cells respectively. By setting a cell coverage degree threshold, when the cell coverage degree between two cells is higher than the set cell coverage degree threshold, the two cells are formed into overlapping coverage neighboring cells, and it is considered that when the target cell shuts down for energy-saving, the overlapping coverage neighboring cell can achieve bottom coverage; otherwise, it is considered that the two cells cannot form overlapping coverage neighboring cells. Then the base station energy-saving computing center forms a cluster energy-saving cooperative base station pool, which includes all target cells and their overlapping coverage neighboring cells in the selected area.

[0107] On the other hand, the base station energy-saving computing center performs big data analysis and modeling on the historical load data of all cells in the cluster energy-saving cooperative base station pool, predicts the traffic indicators of any cell in the cluster energy-saving cooperative base station pool at any time granularity. Then, based on the predicted traffic indicators, the base station energy-saving computing center calculates the predicted transmission data volume of the target cell and the predicted bearable capacity of the bottom overlapping coverage neighboring cell. When the predicted transmission data volume of the target cell is lower than the set threshold and there is an overlapping coverage neighboring cell with a predicted bearable capacity higher than the set threshold, the target cell is instructed to perform traffic diversion to the corresponding overlapping coverage neighboring cell.

[0108] On the other hand, the base station energy-saving computing center evaluates the load fluctuation error of the target cell in real time, determines the base station energy-saving strategy of the target cell according to the load fluctuation error, including the energy-saving entry load threshold and the traffic load evaluation period. Then, the base station energy-saving computing center conducts traffic load evaluation within the traffic load evaluation period. When the traffic load is lower than the determined energy-saving entry load threshold, it instructs the corresponding base station to enter the energy-saving mode.

[0109] The embodiment of the present application also provides an electronic device, as Figure 8 shown. The electronic device 800 includes:

[0110] One or more processors 810;

[0111] A memory 820, on which one or more programs are stored. When the one or more programs are executed by the one or more processors 810, the one or more processors 810 implement the base station energy-saving control method.

[0112] The memory 820, as a non-transitory network system, can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory 820 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 820 may optionally include a memory 820 remotely disposed relative to the processor 810, and these remote memories 820 may be connected to the processor 810 through a network. Examples of the above networks include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0113] The memory 820 may be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 820 may store an operating system and other application programs. When implementing the technical solutions provided in the embodiments of the present specification through software or firmware, the relevant program codes are stored in the memory 820 and are called by the processor 810 to execute the methods of the embodiments of the present application.

[0114] The processor 810 may be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0115] In some embodiments, the electronic device further includes:

[0116] An input / output interface for implementing information input and output;

[0117] A communication interface for implementing communication interaction between this device and other devices, which can achieve communication through a wired method (such as USB, network cable, etc.) or through a wireless method (such as mobile network, WIFI, Bluetooth, etc.);

[0118] A bus for transmitting information between various components of the device (such as the processor 810, the memory 820, the input / output interface, and the communication interface);

[0119] Among them, the processor 810, the memory 820, the input / output interface, and the communication interface can achieve communication connections with each other inside the device through the bus.

[0120] An embodiment of the present application also provides a computer-readable storage medium storing computer-executable instructions for executing the base station energy-saving control method provided by the embodiment of the present application.

[0121] An embodiment of the present application also provides a computer program product including a computer program or computer instructions, where the computer program or computer instructions are stored in a computer-readable storage medium, and the processor of the computer device reads the computer program or computer instructions from the computer-readable storage medium, and the processor executes the computer program or computer instructions to enable the computer device to execute and implement the base station energy-saving control method provided by the embodiment of the present application.

[0122] The system architecture and application scenarios described in the embodiments of the present application are for more clearly explaining the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art know that with the evolution of the system architecture and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

[0123] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0124] Those of ordinary skill in the art can understand that all or some of the steps and systems disclosed above can be implemented as software, firmware, hardware, and their appropriate combinations. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or can be implemented as hardware, or can be implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technologies, CD-ROM, digital versatile disk (DVD), or other optical disk storage, magnetic cassettes, tapes, magnetic disk storage, or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, a communication medium typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery medium.

[0125] Some embodiments of the present application have been described above with reference to the accompanying drawings, which do not limit the scope of the rights of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention shall fall within the scope of the rights of the present application.

Claims

1. A base station energy-saving control method, the method comprising: Obtaining a first current traffic load and a historical traffic load of a target cell at a first moment; Determining a traffic fluctuation error of the target cell at the first moment according to the first current traffic load and the historical traffic load; Performing base station energy-saving control on the target cell according to the traffic fluctuation error.

2. The method according to claim 1, wherein The performing base station energy-saving control on the target cell according to the traffic fluctuation error includes: Determining an energy-saving entry load threshold value of the target cell according to the traffic fluctuation error; Performing base station energy-saving control on the target cell according to the energy-saving entry load threshold value.

3. The method according to claim 2, wherein The determining the energy-saving entry load threshold value of the target cell according to the traffic fluctuation error includes: Determining an energy-saving entry load threshold value and a traffic load evaluation period of the target cell according to the traffic fluctuation error; The performing base station energy-saving control on the target cell according to the energy-saving entry load threshold value includes: Within the traffic load evaluation period after the first moment, obtaining a second current traffic load of the target cell at at least one second moment; Performing base station energy-saving control on the target cell according to the second current traffic load and the energy-saving entry load threshold value.

4. The method according to claim 3, wherein The performing base station energy-saving control on the target cell according to the second current traffic load and the energy-saving entry load threshold value includes: When the base stations in the target cell are not in the energy-saving mode and all the second current traffic loads are less than the energy-saving entry load threshold value, instructing the base stations in the target cell to enter the energy-saving mode; or, When the base stations in the target cell are in the energy-saving mode and there is a second current traffic load greater than or equal to the energy-saving entry load threshold value, instructing the base stations in the target cell to exit the energy-saving mode.

5. The method according to claim 3, characterized in that, The determining the energy-saving entry load threshold value and the traffic load evaluation period of the target cell according to the traffic fluctuation error includes one of the following steps: When the traffic fluctuation error is less than a first error threshold value, determining that the target cell adopts a first energy-saving entry load threshold value and a first traffic load evaluation period; When the traffic fluctuation error is greater than or equal to the first error threshold value and less than a second error threshold value, determining that the target cell adopts the first energy-saving entry load threshold value and a second traffic load evaluation period; When the traffic fluctuation error is greater than or equal to the second error threshold value and less than a third error threshold value, determining that the target cell adopts a second energy-saving entry load threshold value and the first traffic load evaluation period; When the traffic fluctuation error is greater than or equal to the third error threshold value, determining that the target cell adopts the second energy-saving entry load threshold value and the second traffic load evaluation period; Among them, the first error threshold value is less than the second error threshold value, the second error threshold value is less than the third error threshold value, the first energy-saving entry load threshold value is less than the second energy-saving entry load threshold value, and the first traffic load evaluation period is less than the second traffic load evaluation period.

6. The method according to claim 1, characterized in that, The historical traffic load includes the traffic load records and average traffic load at the first moment in the past N days of the target cell, where N is an integer greater than 0; Determining the traffic fluctuation error of the target cell at the first moment according to the first current traffic load and the historical traffic load includes: Determining the traffic fluctuation error of the target cell at the first moment according to a predefined traffic load lower limit value, the first current traffic load, the traffic load records and average traffic load at the first moment in the past N days of the target cell.

7. The method according to claim 1, characterized in that The method further includes: Obtaining the predicted traffic indicators of the target cell and the target off-frequency neighboring cell of the target cell; Determining the predicted transmission data volume of the target cell and the predicted bearable capacity of the target off-frequency neighboring cell according to the predicted traffic indicators; Performing traffic diversion control on the target cell according to the predicted transmission data volume and the predicted bearable capacity.

8. The method according to claim 7, wherein The predicted traffic indicators include the utilization rate of the cell physical resource module and the cell spectral efficiency; Determining the predicted transmission data volume of the target cell and the predicted bearable capacity of the target off-frequency neighboring cell according to the predicted traffic indicators includes: Determining the predicted transmission data volume of the target cell and the predicted bearable capacity of the target off-frequency neighboring cell according to the utilization rate of the cell physical resource module, the cell spectral efficiency, and the effective transmission bandwidth of the target cell.

9. The method according to claim 7, wherein Performing traffic diversion control on the target cell according to the predicted transmission data volume and the predicted bearable capacity includes: When the predicted transmission data volume is less than the transmission data volume threshold value and the predicted bearable capacity is greater than or equal to the bearable capacity threshold value, instructing the target cell to divert traffic to the target off-frequency neighboring area.

10. The method according to claim 7, wherein The method further includes: Obtaining the cell coverage between the target cell and the off-frequency neighboring cell of the target cell; When the cell coverage is greater than or equal to the coverage threshold value, using the off-frequency neighboring cell as the target off-frequency neighboring cell of the target cell.

11. An electronic device, comprising: One or more processors; A memory, on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 10.

12. A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

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