CN115460711B - Service flow splitting method, device, electronic equipment and storage medium - Google Patents
Service flow splitting method, device, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
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Abstract
The application discloses a service flow distribution method, a device, electronic equipment and a storage medium. The method comprises the following steps: acquiring historical traffic data, comprising: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell can carry out non-independent networking with the target 5G cell; predicting uplink and downlink traffic flow data of a target 5G cell within a preset time and uplink traffic flow data of a 4G cell within the preset time according to the historical traffic flow data; determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in a preset time according to the uplink and downlink traffic flow data of the target 5G cell; pairing the 4G cell with the 4G cell uplink traffic flow data in the target time period within a second preset threshold range with the target 5G cell; and in the target period, the uplink traffic of the target 5G cell is shunted to the 4G cell paired with the target 5G cell. And improves the uplink service pressure and user perception of the 5G cell.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a service traffic splitting method, a device, an electronic device, and a storage medium.
Background
With the rapid development of 5G networks and industry chains, more and more users use 5G networks. The New air interface (NR) of 5G is divided into two networking modes, i.e. a 5G Non-independent Networking (NSA) and a 5G independent networking (Stand Alone, SA), so that in order to save cost, operators can select the networking mode of 5G NSA in the early stage of 5G networking.
In the case of the 5G NSA networking method, the service load of the 5G cell may be too high due to insufficient density of the 5G sites in the local area, and the use experience of the 5G user may be bad. Since the downlink throughput capacity of the 5G cell is far beyond 4G, the uplink throughput capacity is not greatly different. In the prior art, the overall load of the 5G cell and the overall service load of the 4G cell are regulated in a balanced manner, so that the risk of the user on the reduction of the downlink service sensing rate is improved.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a computer storage medium for distributing service flow, which are used for realizing the balance of service loads of 4G and 5G cells, improving the user perception of the uplink service of the 5G cells and improving the technical effect of the use experience of 5G users.
The technical scheme of the application is as follows:
in a first aspect, a traffic splitting method is provided, where the method includes:
Acquiring historical traffic data, the historical traffic data comprising: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell which can carry out non-independent networking with the target 5G cell;
Respectively predicting uplink and downlink service flow data of a target 5G cell in preset time and uplink service flow data of a 4G cell in preset time according to the historical service flow data;
Determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in the preset time according to the uplink and downlink traffic flow data of the target 5G cell;
pairing the 4G cell with the uplink traffic flow data of the 4G cell in a second preset threshold value range in a target period with the target 5G cell;
and in the target period, the uplink traffic of the target 5G cell is shunted to a 4G cell paired with the target 5G cell.
In a second aspect, a traffic splitting device is provided, the device comprising:
The historical data acquisition module is used for acquiring historical service flow data, wherein the historical service flow data comprises: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell which can carry out non-independent networking with the target 5G cell;
The prediction result determining module is used for respectively predicting the uplink and downlink service flow data of the target 5G cell in the preset time and the uplink service flow data of the 4G cell in the preset time according to the historical service flow data;
The target period determining module is used for determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in the preset time according to the uplink and downlink traffic flow data of the target 5G cell;
The cell pairing module is used for pairing the 4G cell of which the uplink traffic flow data of the 4G cell is in a second preset threshold range in a target period with the target 5G cell;
And the service flow diversion module is used for diverting the uplink service flow of the target 5G cell to the 4G cell paired with the target 5G cell in the target period.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes a processor, a memory, and a program or an instruction stored in the memory and capable of running on the processor, where the program or the instruction is executed by the processor to implement the steps of the traffic splitting method according to any one of the embodiments of the present application.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, where computer program instructions are stored, where the computer program instructions, when executed by a processor, implement the steps of the traffic splitting method according to any one of the embodiments of the present application.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
according to the service flow diversion method provided by the embodiment of the application, when the uplink service flow of the target 5G cell exceeds the first preset threshold value in the preset time, namely the uplink service flow of the target 5G cell is in a high flow stage, the uplink service flow of the target 5G cell can be diverted to the 4G cell paired with the target 5G cell, and the service flow load of the paired 4G cell and the switching of the 5G cell can not influence the use experience of a user. Therefore, the method can relieve the uplink traffic load of the 5G cell and improve the user perception when the uplink traffic load of the 5G cell is high under the condition that the user experiences the downlink traffic of the 5G cell.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application and do not constitute a undue limitation on the application.
Fig. 1 is a schematic flow diagram of a service flow splitting method according to an embodiment of the present application;
Fig. 2 is a schematic structural diagram of a 4G cell and target 5G cell traffic distribution system according to an embodiment of the present application;
Fig. 3 is a flow chart diagram II of a service flow splitting method according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of a service flow splitting device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to enable a person skilled in the art to better understand the technical solutions of the present application, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the particular embodiments described herein are meant to be illustrative of the application only and not limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the application by showing examples of the application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of implementations consistent with aspects of the application as set forth in the following claims.
Based on the background technology, with the rapid development of the mobile internet, new services and new services are continuously emerging, the mobile data traffic is explosively increased, the 4G mobile communication system is difficult to meet the requirement of the future mobile data traffic surge, and the development of the next generation mobile communication technology is urgently needed. The 5G is used as a novel mobile communication network, has the characteristics of high speed, low time delay and large connection, and is a network infrastructure for realizing man-machine object interconnection.
The 5G network is divided into two networking modes, namely 5G NSA and 5G SA, and the 5G NSA refers to deployment of the 5G network by utilizing the existing 4G infrastructure. The NSA architecture based 5G bearer only carries user data, and control signaling is still transmitted through the 4G network. The 5G SA refers to a newly built 5G network, and comprises a base station, a backhaul link and a core network. In other words, the SA is to construct a 5G network from scratch. Because all base stations and infrastructure need to be re-built, the construction cost is quite high, and in order to save the cost, operators can choose a 5G NSA networking mode in the initial stage of 5G networking.
The inventor finds that under the condition of 5G NSA networking, the situation that the use experience of 5G users is bad is possibly caused by the fact that the load of 5G cells is too high due to insufficient density of local area 5G base stations and the like. In particular, the uplink throughput capacity of the 5G cell is basically equivalent to that of the 4G cell, and the downlink throughput capacity of the 5G cell is far higher than that of the 4G cell, so that the downlink load of the 5G cell does not need to be adjusted. Under the condition that the uplink load of the 5G cell is higher, the uplink load of the 5G cell is split to the 4G site in time, so that the service load can be balanced more quickly, the uplink service user perception is improved, and the cooperative efficiency of the 4G cell and the 5G cell is improved.
Based on the above, the embodiment of the application provides a service flow diversion method, a device, an electronic device and a storage medium, when the uplink service flow load of a 5G cell is too high and the use of a user is affected, the uplink service flow of the 5G cell is diverted to a 4G cell, and under the condition that the use experience of the user on the downlink service of the 5G cell is not reduced, the uplink service flow load of the 5G cell is relieved, and the user perception when the uplink service flow load of the 5G cell is high is improved.
The service flow diversion method provided by the embodiment of the application is described in detail below with reference to the accompanying drawings.
Fig. 1 shows a flow chart of a service flow splitting method according to an embodiment of the present application, where the steps of the service flow splitting method according to the embodiment of the present application are provided. As shown in fig. 1, the method may include steps S110-S150.
Step S110, obtaining historical service flow data, wherein the historical service flow data comprises: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell capable of performing independent networking with the target 5G cell.
Step S120, respectively predicting the uplink and downlink service flow data of the target 5G cell in the preset time and the uplink service flow data of the 4G cell in the preset time according to the historical service flow data.
Step S130, determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in a preset time according to the uplink and downlink traffic flow data of the target 5G cell.
And step S140, the 4G cells with the uplink traffic flow data of the 4G cells in the target time period within a second preset threshold range are paired, and the target 5G cells are paired.
And step S150, in the target period, the uplink traffic of the target 5G cell is shunted to the 4G cell paired with the target 5G cell.
The specific implementation of each of the above steps will be described in detail below.
And in a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in the preset time, namely, when the uplink traffic flow of the target 5G cell is in a high traffic phase, the uplink traffic flow of the target 5G cell can be shunted to a 4G cell paired with the target 5G cell, and the service traffic load of the paired 4G cell and the switching of the 5G cell can not influence the use experience of a user. Therefore, the method can relieve the uplink traffic load of the 5G cell and improve the user perception when the uplink traffic load of the 5G cell is high under the condition that the user experiences the downlink traffic of the 5G cell.
A specific implementation of each of the above steps is described below.
First, in step S110, historical traffic data is obtained, where the historical traffic data includes: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell capable of performing independent networking with the target 5G cell.
The method specifically comprises the following steps: fig. 2 is a schematic structural diagram of a 4G cell and target 5G cell traffic distribution system. The intelligent distribution system comprises a 4G operation and maintenance system, a 5G operation and maintenance system, a service flow distribution server and a network client. And acquiring historical uplink and downlink service flow data of the target 5G cell and historical uplink service flow data of the 4G cell from the 4G operation and maintenance system database server and the 5G operation and maintenance system database server respectively. And carrying out the shunting operation through the service shunting server. For example, historical uplink and downlink traffic data of a 5G cell and historical uplink traffic data of a 4G cell may be acquired within a preset period of time, and the preset period of time may be the last 1 day, the last 7 days or the last month. The 4G cell that obtains historical uplink traffic data may be a 4G cell that is capable of non-independent networking with the target 5G cell.
And when the 4G operation maintenance system database server and the 5G operation maintenance system database server store historical service flow data, a cyclic storage method is adopted. Illustratively, after the last 7 days of historical traffic data is obtained, the 4G operation and maintenance system database server and the 5G operation and maintenance system database server remove the earliest 7 days of historical traffic data in the servers from the servers and store the new traffic data in real time. The purpose of circularly storing the table is to improve the operation efficiency of the system under the condition of big data processing, and the data of the table is directly called when the system performs predictive analysis.
The above is a specific implementation of step S110, and a specific implementation of step S120 is described below.
Step S120, respectively predicting the uplink and downlink service flow data of the target 5G cell in the preset time and the uplink service flow data of the 4G cell in the preset time according to the historical service flow data.
In order to improve the balance and accuracy of traffic load splitting, the traffic data of the future 4G cell and 5G cell needs to be predicted. Because of hysteresis of the historical service flow, the problem that the uplink service data of the 5G cell cannot be effectively split due to the fact that the service flow load split is inconsistent with the actual situation caused by the fact that the uplink service data of the 5G cell and the 4G cell are adjusted based on the historical service flow data is avoided.
The method specifically comprises the following steps: and predicting the uplink and downlink service flow data of the target 5G cell in the preset time and the uplink service flow data of the 4G cell in the preset time based on the historical service flow data by a preset prediction model.
In one example, predicting the target 5G cell uplink and downlink traffic data in the preset time and the 4G cell uplink traffic data in the preset time according to the historical traffic data respectively may include: step S1201 to step S1205.
Step S1201, determining non-seasonal parameters of the target 5G cell and non-seasonal parameters of the 4G cell according to the historical uplink and downlink traffic data of the target 5G cell and the historical uplink traffic data of the 4G cell.
The method specifically comprises the following steps: when predicting service traffic data of a 4G cell and a target 5G cell, a prediction model needs to be established, the prediction model can be an autoregressive integral moving average (Autoregressive Integrated Moving Average, ARIMA) model, and an algorithm of the ARIMA model needs to filter trend, season, period and other factors from data, model the filtered data, and integrate the trend, season and period factors into the data to obtain a prediction result. Parameter setting is needed when the ARIMA model is established, and the method comprises the following steps: the (p, d, q) of the non-seasonal portion and the (p, d, q) of the seasonal portion, and the period length, p representing the p-order autoregressive model, d representing the d-order differential model, and q representing the q-order moving average model, it is necessary to determine the non-seasonal parameters of the target 5G cell and the non-seasonal parameters of the 4G cell in order to establish the predictive model. When determining the non-seasonal parameters of the target 5G cell and the non-seasonal parameters of the 4G cell, an initial prediction model needs to be established first, and the non-seasonal parameters of the target 5G cell and the non-seasonal parameters of the 4G cell are determined through the initial prediction model.
In one example, determining the non-seasonal parameter of the target 5G cell and the non-seasonal parameter of the 4G cell according to the historical uplink and downlink traffic data of the target 5G cell and the historical uplink traffic data of the 4G cell, respectively, may include: step S12011 to step S12014.
Step S12011, based on the historical uplink and downlink data of the target 5G cell, calls a prediction function to establish a first initial prediction model of the uplink and downlink traffic flow data of the target 5G cell.
In order to obtain non-seasonal parameters of the target 5G cell, a first initial predictive model on the 5G cell traffic data needs to be established. The historical uplink and downlink data of the target 5G cell comprises: the service flow ratio of the historical uplink and downlink data of the target 5G cell and the historical uplink service wireless utilization rate of the target 5G cell. The service flow ratio of the historical uplink and downlink data of the target 5G cell is the ratio of the historical uplink service flow data of the target 5G cell to the historical downlink service flow data of the target 5G cell.
The method specifically comprises the following steps: and calling a prediction function according to the historical uplink and downlink data traffic flow ratio of the target 5G cell, and establishing an initial prediction model of the uplink and downlink data traffic flow ratio of the target 5G cell. And according to the historical uplink service wireless utilization rate of the target 5G cell, calling a prediction function to establish an initial prediction model of the uplink service wireless utilization rate of the target 5G cell. The first initial predictive model therefore includes: an initial prediction model of the service flow ratio of the uplink and downlink data of the target 5G cell and an initial prediction model of the uplink service wireless utilization rate of the target 5G cell. Specifically, a prediction function in the R language is called, and an initial prediction model is established.
Step S12012, acquiring non-seasonal parameters of the target 5G cell according to the first initial prediction model.
The method specifically comprises the following steps: and inputting the time parameters of the historical service flow data of the target 5G cell into the first initial prediction model to obtain the non-seasonal parameters of the target 5G cell. For example, when the obtained historical traffic data of the target 5G cell is the data within the last 7 days, 7 is input into the first initial prediction model to obtain the non-seasonal parameter of the target 5G cell.
Step S12013, based on the historical uplink traffic data of the 4G cell, invoking a prediction function to establish a second initial prediction model of the uplink traffic data of the 4G cell.
The method specifically comprises the following steps: the historical uplink traffic data of the 4G cell includes: historical uplink traffic wireless utilization of the 4G cell. And according to the historical uplink service wireless utilization rate of the 4G cell, calling a prediction function, and establishing an initial prediction model, namely a second initial prediction model, of the uplink service wireless utilization rate of the 4G cell.
Step S12014, acquiring non-seasonal parameters of the 4G cell according to the second initial prediction model.
The method specifically comprises the following steps: and inputting the time parameters of the historical service flow data of the 4G cell into a second initial prediction model to obtain the non-seasonal parameters of the 4G cell. For example, when the obtained historical traffic data of the 4G cell is the data within the last 7 days, 7 is input into the second initial prediction model to obtain the non-seasonal parameter of the 4G cell.
Step S1202, a prediction function is called to establish a first target prediction model according to non-seasonal parameters of the target 5G cell, preset seasonal parameters of the target 5G cell and preset cycle length of the target 5G cell.
The method specifically comprises the following steps: and calling a prediction function to establish a first target prediction model according to the non-seasonal parameters of the target 5G cell, the preset seasonal parameters of the target 5G cell and the preset period length of the target 5G cell, which are obtained through the first initial prediction model. Illustratively, the seasonal parameter is determined according to the seasonal characteristic of the historical traffic flow data of the target 5G cell, and the seasonal parameter of the target 5G cell and the period length of the target 5G cell can be set uniformly. For example, the seasonal parameter of the target 5G cell and the target 5G cell period length are set as: p2=0, d2=1, q2=1, period=24.
Step S1203 predicts uplink and downlink traffic data of the target 5G cell within a preset time based on the first target prediction model.
The method specifically comprises the following steps: and inputting the predicted time into a first target prediction model to predict uplink and downlink traffic flow data of the target 5G cell within the preset time. For example, predicting uplink and downlink traffic flow data of the target 5G cell for k hours in the future, wherein the preset time is k hours, namely inputting k into the first target prediction model, and obtaining the uplink and downlink traffic flow data of the target 5G cell for k hours in the future.
Step S1204, a prediction function is called to establish a second target prediction model according to the non-seasonal parameter of the 4G cell, the preset seasonal parameter of the 4G cell and the preset period length of the 4G cell.
The method for establishing the second target prediction model is the same as the method for establishing the first target prediction model. Both the seasonal parameters of the 4G cell and the 4G cell period length are preset. And calling a prediction function to establish a second target prediction model according to the non-seasonal parameters of the 4G cell, the preset seasonal parameters of the 4G cell and the preset period length of the 4G cell established by the second initial prediction model.
And step S1205, predicting the uplink traffic flow data of the 4G cell within a preset time based on the second target prediction model.
The method specifically comprises the following steps: and inputting the preset time into a second target prediction model to obtain the uplink traffic flow data of the 4G cell within the preset time.
The above is a specific implementation of step S120, and a specific implementation of step S130 is described below.
Step S130, determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in a preset time according to the uplink and downlink traffic flow data of the target 5G cell.
The method specifically comprises the following steps: and comparing the uplink and downlink traffic flow data of the target 5G cell with a first preset threshold value, and when the uplink traffic flow of the target 5G cell exceeds the preset threshold value in a preset time, indicating that the uplink traffic load of the target 5G cell is heavier at the moment and the traffic flow needs to be split. And determining the time corresponding to the uplink traffic flow exceeding the preset threshold value of the target 5G cell in the preset time as a target time period.
In one example, according to uplink and downlink traffic flow data of the target 5G cell, determining a target period of time for which the uplink traffic flow of the target 5G cell exceeds a first preset threshold in a preset time may include: step S1301.
Step S1301, the service flow ratio of the uplink and downlink data of the target 5G cell is greater than or equal to the preset service flow ratio threshold within the preset time, and the period in which the uplink service wireless utilization of the target 5G cell is greater than or equal to the first preset wireless utilization threshold is the target period.
The method specifically comprises the following steps: and comparing the service flow ratio of the uplink and downlink data of the target 5G cell with a preset service flow ratio threshold value, and comparing the uplink service wireless utilization rate of the target 5G cell with a first preset wireless utilization rate threshold value. And when the service flow ratio of the uplink and downlink data of the target 5G cell is larger than or equal to a preset service flow ratio threshold value within the preset time, determining a period corresponding to the period when the uplink service wireless utilization rate of the target 5G cell is larger than or equal to a first preset wireless utilization rate threshold value as a high-load period, namely a target period.
The target period may be a time point, such as 4 hours, or may be a time interval. For example, when the interval of the high load period is b hours or less, the high load period and the intermediate period thereof form a high load time interval, for example, 16:00, 17:00,19:00, 23:00 is the high load period, b=4, and then the high load interval is 16:00 to 23:00, that is, the target period is 16:00 to 23:00.
The above is a specific implementation of step S130, and a specific implementation of step S140 is described below.
And step S140, the 4G cell with the uplink traffic flow data of the 4G cell within the second preset threshold value range in the target period is paired with the target 5G cell.
In this step, specifically, in the target period, the 4G cell with the uplink traffic data of the 4G cell within the second preset threshold range is the 4G cell with the low uplink traffic quantity, and the uplink traffic of the target 5G cell can be shunted to the 4G cell, so that the target 5G cell and the 4G cell are paired.
In one example, pairing the 4G cell whose uplink traffic flow data is within the second preset threshold value range in the target period with the target 5G cell may include: step S1401 to step S1402.
Step S1401, calculating correlation coefficients of the 4G cell uplink service wireless utilization rate and the 5G cell uplink service wireless utilization rate in the target period.
The uplink traffic flow data of the 4G cell comprises: the uplink service wireless utilization rate of the 4G cell. The method specifically comprises the following steps: according to the formula of correlation coefficient R (X, Y) =cov (X, Y)/(Var [ X ] ×var [ Y ]) 0.5, wherein X is the uplink traffic radio utilization of the 4G cell and Y is the uplink traffic radio utilization of the 5G cell.
Step S1402, the correlation number is smaller than a preset correlation coefficient threshold, and the 4G cell whose uplink traffic wireless utilization rate is smaller than a second preset wireless utilization rate threshold in the target period is paired with the target 5G cell.
The method specifically comprises the following steps: and determining the 4G cell as the shuntable 4G cell when the correlation coefficient is smaller than a preset correlation coefficient threshold and the uplink service wireless utilization rate of the 4G cell is smaller than a second preset wireless utilization rate threshold in the target period. Pairing the 4G cell with the target 5G cell.
The above is a specific implementation of step S140, and a specific implementation of step S150 is described below.
And step S150, in the target period, the uplink traffic of the target 5G cell is shunted to the 4G cell paired with the target 5G cell.
The method specifically comprises the following steps: after the 4G cell paired with the target 5G cell is determined, uplink traffic of the target 5G cell is shunted to the paired 4G cell within the target period.
In one example, offloading uplink traffic of a target 5G cell to a 4G cell paired with the target 5G cell may include: step S1501 to step S1502.
In step S1501, under the condition that the target 5G cell and the 4G cell paired with the target 5G cell both support setting of the handover bias parameter and the handover hysteresis parameter, the handover bias parameter and the handover hysteresis parameter are set for both the target 5G cell and the 4G cell paired with the target 5G cell.
The method specifically comprises the following steps: when the target 5G cell and the 4G cell paired with the target 5G cell both support setting of the switching bias parameter and the switching hysteresis parameter, the switching bias parameter and the switching hysteresis parameter are used as control parameters, and the point-to-point switching bias parameter and the switching hysteresis parameter are set for the target 5G cell and the 4G cell paired with the target 5G cell, so that the target 5G cell shunts the service flow to the 4G cell.
In one example, setting the handover bias parameter and the handover hysteresis parameter for both the target 5G cell and the 4G cell paired with the target 5G cell may include: step S15011 to step S15012.
Step S15011, a forward handover bias parameter and a first handover hysteresis parameter are set for the target 5G cell.
The method specifically comprises the following steps: the OFFSET is a switching bias parameter, which includes two parameters OFFSETp and OFFSETn, only one of the parameters can be set for the target 5G cell and the corresponding paired 4G cell respectively, OFFSETp is that the positive bias user is more difficult to switch out, OFFSETn is that the negative bias user is easier to switch out, HYST is the switching hysteresis, and the larger the value is more difficult to switch out. In the target period, the target 5G cell is set OFFSETn to a preset value.
Step S15012, setting a negative handover bias parameter and a second handover hysteresis parameter for a 4G cell paired with the target 5G cell; the first switching hysteresis parameter is smaller than the second switching hysteresis parameter.
The method specifically comprises the following steps: in the target period, the 4G cell paired with the target 5G cell is set OFFSETp to a preset value. OFFSETn has a value of less than OFFSETp.
Step S1502, the uplink traffic of the target 5G cell is shunted to the 4G cell paired with the target 5G cell according to the handover bias parameter and the handover hysteresis parameter.
The method specifically comprises the following steps: after the point-to-point switching bias parameter and the switching hysteresis parameter are set by the target 5G cell and the 4G cell paired with the target 5G cell, the uplink traffic of the target 5G cell can be shunted to the 4G cell paired with the target 5G cell.
In order to shunt the traffic of the target 5G cell to the 4G cell paired with the target 5G cell under the condition that the target 5G cell and the 4G cell paired with the target 5G cell do not support setting of the handover bias parameter and the handover hysteresis parameter, the application also provides another implementation manner of traffic shunt, and the detailed description is given below. Referring to fig. 3, another implementation manner of traffic splitting provided by the present application includes the following steps:
Step S310, acquiring historical traffic data, where the historical traffic data includes: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell capable of performing independent networking with the target 5G cell.
Step S320, respectively predicting the uplink and downlink service flow data of the target 5G cell in the preset time and the uplink service flow data of the 4G cell in the preset time according to the historical service flow data.
Step S330, determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in a preset time according to the uplink and downlink traffic flow data of the target 5G cell.
And step S340, the 4G cells with the uplink traffic flow data of the 4G cells in the target time period within the second preset threshold range are paired, and the target 5G cells are paired.
Step S350, under the condition that the target 5G cell and the 4G cell paired with the target 5G cell do not support setting of a switching bias parameter and a switching hysteresis parameter, the uplink traffic flow of the target 5G cell is shunted to the 4G cell paired with the target 5G cell in a target period by respectively adjusting the transmitting power, a different system measurement threshold and a different system switching threshold of the target 5G cell and the 4G cell paired with the target 5G cell.
The method specifically comprises the following steps: under the condition that the target 5G cell and the 4G cell paired with the target 5G cell do not support setting of the switching bias parameter and the switching hysteresis parameter, the main control parameter selects the transmitting power (nrpwr) of the target 5G cell, the measuring threshold (NRINTERRATSEARCH) of the 5G different system, the switching threshold (NrInterRAThandover) of the 5G different system, the transmitting power (ltepwr) of the 4G cell, the measuring threshold (LTEINTERRATSEARCH) of the 4G different system and the switching threshold (LteInterRAThandover) of the 4G different system in the target period.
Nrpwr down-regulates a preset value, for example a db down, but the set value cannot be lower than the minimum value at which the cell transmit power can be set. NRINTERRATSEARCH down-regulating a preset value; nrinterRAThandover down-regulates the preset value. Ltepwr up-regulating a preset value, wherein the set value cannot be higher than the settable maximum value of the cell transmitting power; LTEINTERRATSEARCH up-regulating a preset value; lteinterRAThandover up-regulates the preset value. And when the non-service flow diversion period is over, the parameters are restored to the original set values.
In the service flow splitting method provided by the embodiment of the application, when the uplink service flow of the target 5G cell exceeds the first preset threshold value in the preset time, that is, when the uplink service flow of the target 5G cell is in a high flow stage, the uplink service flow of the target 5G cell can be split into the 4G cell paired with the target 5G cell, and under the condition that the target 5G cell and the 4G cell do not support setting of a switching bias parameter and a switching hysteresis parameter, the transmitting power, a different system measurement threshold and a different system switching threshold of the target 5G cell and the 4G cell paired with the target 5G cell are adjusted, and in the target time, the uplink service flow of the target 5G cell is split into the 4G cell paired with the target 5G cell; and the service flow load of the paired 4G cell and the switching of the 5G cell can not influence the use experience of the user. Therefore, the method can relieve the uplink traffic load of the 5G cell and improve the user perception when the uplink traffic load of the 5G cell is high under the condition that the user experiences the downlink traffic of the 5G cell.
Based on the same inventive concept, the embodiment of the application also provides a service flow diversion device.
Fig. 4 shows a traffic splitting device provided by an embodiment of the present application, as shown in fig. 4, the traffic splitting device may include:
A historical data obtaining module 410, configured to obtain historical traffic data, where the historical traffic data includes: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell which can carry out non-independent networking with the target 5G cell;
The prediction result determining module 420 is configured to predict uplink and downlink traffic flow data of the target 5G cell in a preset time and uplink traffic flow data of the 4G cell in the preset time according to the historical traffic flow data;
A target period determining module 430, configured to determine, according to the uplink and downlink traffic flow data of the target 5G cell, a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold in the preset time;
A cell pairing module 440, configured to pair, with the target 5G cell, a 4G cell whose uplink traffic flow data is within a second preset threshold within a target period;
And the traffic flow splitting module 450 is configured to split uplink traffic flow of the target 5G cell to a 4G cell paired with the target 5G cell in the target period.
In some embodiments, the prediction result determination module 420 may include:
the non-seasonal parameter determining unit is used for respectively determining the non-seasonal parameter of the target 5G cell and the non-seasonal parameter of the 4G cell according to the historical uplink and downlink traffic data of the target 5G cell and the historical uplink traffic data of the 4G cell;
the first target prediction model building unit is used for calling a prediction function to build a first target prediction model according to the non-seasonal parameter of the target 5G cell, the preset seasonal parameter of the target 5G cell and the preset period length of the target 5G cell;
the first traffic data prediction unit is used for predicting uplink and downlink traffic data of the target 5G cell within the preset time based on a first target prediction model;
The second target prediction model building unit is used for calling a prediction function to build a second target prediction model according to the non-seasonal parameter of the 4G cell, the preset seasonal parameter of the 4G cell and the preset period length of the 4G cell;
And the second traffic data prediction unit is used for predicting the uplink traffic data of the 4G cell within the preset time based on a second target prediction model.
In some embodiments, the non-seasonal parameter determination unit may include:
The first initial prediction model building subunit is used for calling a prediction function to build a first initial prediction model of uplink and downlink service flow data of the target 5G cell based on the historical uplink and downlink data of the target 5G cell;
A first non-seasonal parameter obtaining subunit, configured to obtain a non-seasonal parameter of the target 5G cell according to the first initial prediction model;
A second initial prediction model building subunit, configured to call a prediction function to build a second initial prediction model of the uplink traffic flow data of the 4G cell based on the historical uplink traffic flow data of the 4G cell;
a second non-seasonal parameter obtaining subunit, configured to obtain a non-seasonal parameter of the 4G cell according to the second initial prediction model.
In some embodiments, the target 5G cell uplink and downlink traffic data includes: the service flow ratio of the uplink and downlink data of the target 5G cell and the uplink service wireless utilization rate of the target 5G cell.
In some embodiments, the target period determining module 430 is specifically configured to set, as the target period, a period in which the traffic flow ratio of the uplink and downlink data of the target 5G cell is greater than or equal to the preset traffic flow ratio threshold and the uplink traffic radio utilization of the target 5G cell is greater than or equal to the first preset radio utilization threshold within the preset time.
In some embodiments, the 4G cell uplink traffic data includes: the uplink service wireless utilization rate of the 4G cell.
In some embodiments, the cell pairing module 440 may include:
A correlation coefficient calculating unit, configured to calculate a correlation coefficient between the uplink traffic radio utilization rate of the 4G cell and the uplink traffic radio utilization rate of the 5G cell in the target period;
And the cell pairing unit is used for pairing the 4G cell, the correlation coefficient of which is smaller than a preset correlation coefficient threshold value and the uplink service wireless utilization rate of which is smaller than a second preset wireless utilization rate threshold value in the target period, with the target 5G cell.
In some embodiments, the traffic splitting module 450 may include:
The parameter setting unit is used for setting a switching bias parameter and a switching hysteresis parameter for the target 5G cell and the 4G cell paired with the target 5G cell under the condition that the target 5G cell and the 4G cell paired with the target 5G cell both support setting the switching bias parameter and the switching hysteresis parameter;
and the first flow diversion unit is used for diverting the uplink service flow of the target 5G cell to the 4G cell paired with the target 5G cell according to the switching bias parameter and the switching hysteresis parameter.
In some embodiments, a parameter setting unit is specifically configured to set a forward handover bias parameter and a first handover hysteresis parameter for the target 5G cell; setting a negative switching bias parameter and a second switching hysteresis parameter for the 4G cell paired with the target 5G cell; the first switching hysteresis parameter is smaller than the second switching hysteresis parameter.
In some embodiments, the traffic splitting module 450 may include:
And the second traffic diversion unit is used for diverting the uplink traffic of the target 5G cell to the 4G cell paired with the target 5G cell by respectively adjusting the transmitting power, the inter-system measurement threshold and the inter-system switching threshold of the target 5G cell and the 4G cell paired with the target 5G cell under the condition that the target 5G cell and the 4G cell paired with the target 5G cell do not support setting of the switching bias parameter and the switching hysteresis parameter.
According to the service flow diversion method provided by the embodiment of the application, when the uplink service flow of the target 5G cell exceeds the first preset threshold value in the preset time, namely the uplink service flow of the target 5G cell is in a high flow stage, the uplink service flow of the target 5G cell can be diverted to the 4G cell paired with the target 5G cell, and the service flow load of the paired 4G cell and the switching of the 5G cell can not influence the use experience of a user. Therefore, the method can relieve the uplink traffic load of the 5G cell and improve the user perception when the uplink traffic load of the 5G cell is high under the condition that the user experiences the downlink traffic of the 5G cell.
Based on the same inventive concept, the embodiment of the application also provides electronic equipment.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 5, the electronic device may include a processor 501 and a memory 502 storing computer programs or instructions.
In particular, the processor 501 may include a Central Processing Unit (CPU), or an Application SPECIFIC INTEGRATED Circuit (ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present invention.
Memory 502 may include mass storage for data or instructions. By way of example, and not limitation, memory 502 may comprise a hard disk drive (HARD DISK DRIVE, HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) drive, or a combination of two or more of the foregoing. Memory 502 may include removable or non-removable (or fixed) media, where appropriate. Memory 502 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 502 is a non-volatile solid state memory. In a particular embodiment, the memory 502 includes Read Only Memory (ROM). The ROM may be mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these, where appropriate.
The processor 501 implements any one of the base station failure detection methods of the above embodiments by reading and executing the computer program instructions stored in the memory 502.
In one example, the electronic device may also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected to each other via a bus 510 and perform communication with each other.
The communication interface 503 is mainly used to implement communication between each module, device, unit and/or device in the embodiments of the present invention.
Bus 510 includes hardware, software, or both that couple components of the electronic device to one another. By way of example, and not limitation, the buses may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 510 may include one or more buses, where appropriate. Although embodiments of the invention have been described and illustrated with respect to a particular bus, the invention contemplates any suitable bus or interconnect.
The electronic device can execute the service flow diversion method in the embodiment of the invention, thereby realizing the service flow diversion method described in fig. 1 and 3.
In addition, in combination with the traffic splitting method in the above embodiment, the embodiment of the present invention may be implemented by providing a readable storage medium. The readable storage medium has program instructions stored thereon; the program instructions, when executed by the processor, implement any of the traffic splitting methods of the embodiments described above.
It should be understood that the invention is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. The method processes of the present invention are not limited to the specific steps described and shown, but various changes, modifications and additions, or the order between steps may be made by those skilled in the art after appreciating the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. The present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.
In the foregoing, only the specific embodiments of the present invention are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present invention is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and they should be included in the scope of the present invention.
Claims (9)
1. A traffic splitting method, comprising:
Acquiring historical traffic data, the historical traffic data comprising: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell which can carry out non-independent networking with the target 5G cell;
respectively predicting uplink and downlink traffic flow data of a target 5G cell in preset time and uplink traffic flow data of a 4G cell in the preset time according to the historical traffic flow data;
Determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in the preset time according to the uplink and downlink traffic flow data of the target 5G cell;
pairing the 4G cell with the uplink traffic flow data of the 4G cell in a second preset threshold value range in a target period with the target 5G cell;
Shunting uplink traffic of the target 5G cell to a 4G cell paired with the target 5G cell in the target period;
The uplink and downlink traffic flow data of the target 5G cell comprises: the service flow ratio of the uplink and downlink data of the target 5G cell and the uplink service wireless utilization rate of the target 5G cell;
The determining, according to the uplink and downlink traffic flow data of the target 5G cell, a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold in the preset time, includes:
setting a time period, in which the service flow ratio of the uplink and downlink data of the target 5G cell is greater than or equal to a preset service flow ratio threshold value and the uplink service wireless utilization rate of the target 5G cell is greater than or equal to a first preset wireless utilization rate threshold value, as a target time period;
The uplink traffic flow data of the 4G cell comprises: the wireless utilization rate of the uplink service of the 4G cell;
The pairing of the 4G cell with the target 5G cell, wherein the 4G cell has the uplink traffic flow data of the 4G cell within a second preset threshold value range within a target period, comprises the following steps:
calculating the correlation coefficient of the uplink service wireless utilization rate of the 4G cell and the uplink service wireless utilization rate of the 5G cell in the target period;
And matching the 4G cell of which the correlation coefficient is smaller than a preset correlation coefficient threshold value and the uplink service wireless utilization rate of the 4G cell is smaller than a second preset wireless utilization rate threshold value in the target period with the target 5G cell.
2. The method according to claim 1, wherein predicting the target 5G cell uplink and downlink traffic data within a preset time and the 4G cell uplink traffic data within the preset time according to the historical traffic data, respectively, comprises:
According to the historical uplink and downlink traffic flow data of the target 5G cell and the historical uplink traffic flow data of the 4G cell, respectively determining non-seasonal parameters of the target 5G cell and non-seasonal parameters of the 4G cell;
According to the non-seasonal parameters of the target 5G cell, the preset seasonal parameters of the target 5G cell and the preset cycle length of the target 5G cell, a prediction function is called to establish a first target prediction model;
predicting uplink and downlink traffic flow data of the target 5G cell within the preset time based on the first target prediction model;
according to the non-seasonal parameters of the 4G cell, the preset seasonal parameters of the 4G cell and the preset period length of the 4G cell, a prediction function is called to establish a second target prediction model;
And predicting the uplink traffic flow data of the 4G cell within the preset time based on the second target prediction model.
3. The method according to claim 2, wherein determining the non-seasonal parameter of the target 5G cell and the non-seasonal parameter of the 4G cell based on the historical uplink and downlink traffic data of the target 5G cell and the historical uplink traffic data of the 4G cell, respectively, comprises:
based on the historical uplink and downlink data of the target 5G cell, a prediction function is called to establish a first initial prediction model of uplink and downlink service flow data of the target 5G cell;
Acquiring non-seasonal parameters of the target 5G cell according to the first initial prediction model;
based on the historical uplink service flow data of the 4G cell, a prediction function is called to establish a second initial prediction model of the uplink service flow data of the 4G cell;
and acquiring non-seasonal parameters of the 4G cell according to the second initial prediction model.
4. The method of claim 1, wherein the offloading uplink traffic of the target 5G cell to the 4G cell paired with the target 5G cell during the target period comprises:
Setting a switching bias parameter and a switching hysteresis parameter for the target 5G cell and the 4G cell paired with the target 5G cell under the condition that the target 5G cell and the 4G cell paired with the target 5G cell both support setting the switching bias parameter and the switching hysteresis parameter;
and shunting the uplink traffic flow of the target 5G cell to a 4G cell paired with the target 5G cell according to the switching bias parameter and the switching hysteresis parameter.
5. The method of claim 4, wherein the setting of the handover bias parameter and the handover hysteresis parameter for both the target 5G cell and the 4G cell paired with the target 5G cell comprises:
Setting a forward switching bias parameter and a first switching hysteresis parameter for the target 5G cell;
setting a negative switching bias parameter and a second switching hysteresis parameter for the 4G cell paired with the target 5G cell; the first switching hysteresis parameter is smaller than the second switching hysteresis parameter.
6. The method of claim 1, wherein the offloading uplink traffic of the target 5G cell to the 4G cell paired with the target 5G cell during the target period comprises:
And under the condition that the target 5G cell and the 4G cell matched with the target 5G cell do not support setting of a switching bias parameter and a switching hysteresis parameter, respectively adjusting the transmitting power, a different system measurement threshold and a different system switching threshold of the target 5G cell and the 4G cell matched with the target 5G cell, and in the target period, shunting the uplink traffic of the target 5G cell to the 4G cell matched with the target 5G cell.
7. A traffic splitting device, the device comprising:
The historical data acquisition module is used for acquiring historical service flow data, wherein the historical service flow data comprises: historical uplink and downlink traffic flow data of the target 5G cell and historical uplink traffic flow data of the 4G cell; the 4G cell is a 4G cell which can carry out non-independent networking with the target 5G cell;
The prediction result determining module is used for respectively predicting the uplink and downlink service flow data of the target 5G cell in the preset time and the uplink service flow data of the 4G cell in the preset time according to the historical service flow data;
The target period determining module is used for determining a target period when the uplink traffic flow of the target 5G cell exceeds a first preset threshold value in the preset time according to the uplink and downlink traffic flow data of the target 5G cell;
the cell pairing module is used for pairing the 4G cell with the target 5G cell, wherein the uplink traffic flow data of the 4G cell is in a second preset threshold range in a target period;
The service flow diversion module is used for diverting the uplink service flow of the target 5G cell to a 4G cell paired with the target 5G cell in the target period;
The uplink and downlink traffic flow data of the target 5G cell comprises: the service flow ratio of the uplink and downlink data of the target 5G cell and the uplink service wireless utilization rate of the target 5G cell;
The target period determining module is specifically configured to set, as a target period, a period in which the traffic flow ratio of the uplink and downlink data of the target 5G cell is greater than or equal to a preset traffic flow ratio threshold and the uplink traffic radio utilization rate of the target 5G cell is greater than or equal to a first preset radio utilization rate threshold within the preset time;
The uplink traffic flow data of the 4G cell comprises: the wireless utilization rate of the uplink service of the 4G cell;
The cell pairing module comprises:
A correlation coefficient calculating unit, configured to calculate a correlation coefficient between the uplink traffic radio utilization rate of the 4G cell and the uplink traffic radio utilization rate of the 5G cell in the target period;
And the cell pairing unit is used for pairing the 4G cell, the correlation coefficient of which is smaller than a preset correlation coefficient threshold value and the uplink service wireless utilization rate of which is smaller than a second preset wireless utilization rate threshold value in the target period, with the target 5G cell.
8. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the program or instruction when executed by the processor implementing the steps of the traffic splitting method according to any of claims 1-6.
9. A computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement a traffic splitting method according to any of claims 1-6.
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