CN113691999A - Mobile network coverage efficiency improving method and system based on traffic tide - Google Patents
Mobile network coverage efficiency improving method and system based on traffic tide Download PDFInfo
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- CN113691999A CN113691999A CN202110963599.9A CN202110963599A CN113691999A CN 113691999 A CN113691999 A CN 113691999A CN 202110963599 A CN202110963599 A CN 202110963599A CN 113691999 A CN113691999 A CN 113691999A
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Abstract
The invention provides a method and a system for improving the coverage efficiency of a mobile network based on traffic tide, comprising the following steps: acquiring an adjustable angle range of an antenna of a base station to which a network coverage area belongs, and extracting a preset number of azimuth angles within the adjustable angle range; adjusting the antenna to each azimuth angle respectively, and collecting mobile network telephone traffic data of a preset time period at each azimuth angle respectively; processing mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to telephone traffic tides and azimuth angles associated with the time nodes, and generating an adjusting scheme according to the time nodes and the associated azimuth angles; and controlling the antenna to carry out azimuth angle adjustment according to the adjustment scheme, so that the antenna is respectively adjusted to the associated azimuth angle at each time node. The method has the advantages that the traffic tide is identified, and then an antenna adjusting scheme is formulated, so that better traffic absorption and tide scene coverage adaption are achieved, and the utilization rate of network resources is improved.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a mobile network coverage efficiency improving method and system based on traffic tides.
Background
The tidal effect is a common phenomenon of nature and is ubiquitous in social life. Mobile networks are closely related to human activities, as tidal effects are also prevalent in mobile networks. With the development of mobile network technology, operators have higher and higher requirements on the operation efficiency and network performance of mobile networks. Due to the mobility of mobile network users, network traffic has a tidal scene which generates traffic migration along with time changes, for example, a residential area has traffic peaks in the morning and at night, but is in traffic valleys during working hours, which will cause network congestion during the traffic peaks, and cause a great amount of waste of network resources during the traffic valleys, and the mobile base station network has a low utilization rate. Therefore, a solution capable of adjusting the coverage direction of the base station antenna in the traffic peak period and the traffic valley period, improving the coverage efficiency of the mobile network, and further implementing reasonable allocation of limited mobile network resources is needed.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a mobile network coverage efficiency improving method based on traffic tide, which comprises the following steps:
step S1, obtaining an adjustable angle range of an antenna of a base station to which a network coverage area belongs, and extracting a preset number of azimuth angles within the adjustable angle range;
step S2, adjusting the antenna to each azimuth angle respectively, and collecting mobile network telephone traffic data of a preset time period at each azimuth angle respectively;
step S3, processing the mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to the telephone traffic tide and the azimuth angle associated with each time node, and generating an adjusting scheme according to each time node and the associated azimuth angle;
step S4, controlling the antennas to perform azimuth angle adjustment according to the adjustment scheme, so that the antennas are respectively adjusted to the associated azimuth angles at each of the time nodes.
Preferably, in step S1, the preset number is 5, and the 5 orientation angles are obtained by quartering the adjustable angle range.
Preferably, in step S2, the preset time period is 0 hour to 24 hours of a day.
Preferably, the mobile network traffic data includes the maximum number of users in dual connection with non-independent networking or the maximum number of users in connection with independent networking, a first user plane traffic of an uplink radio link control layer, and a second user plane traffic of a downlink radio link control layer; the step S3 includes:
step S31, normalizing the maximum number of users in the same time period corresponding to each azimuth angle to obtain a corresponding first numerical value;
step S32, normalizing the sum of the first user plane traffic and the second user plane traffic in the same time period corresponding to each azimuth angle to obtain a corresponding second value;
step S33, processing the same time period of each azimuth angle according to the corresponding first numerical value and the second numerical value respectively to obtain a third numerical value;
step S34, regarding the azimuth angle with the largest third value in all the azimuth angles of the same time period and the same time period as the time node corresponding to the traffic tide and the associated azimuth angle, respectively, and generating the adjustment scheme according to each time node and the associated azimuth angle.
Preferably, in step S33, the third value is obtained by the following formula:
z＝ax+by
wherein z is used to represent the third numerical value; a. b is used for representing weight coefficients; x is used to represent the first numerical value; y is used to represent the second value.
Preferably, the mobile network traffic data includes a secondary station addition success rate, and before performing step S4, the method further includes:
step a1, obtaining the secondary station adding success rate corresponding to each azimuth angle in the adjustment scheme, and determining whether the secondary station adding success rate is smaller than a success rate threshold:
if not, go to step S4;
if yes, the azimuth angle and the time node corresponding to the secondary station adding success rate are removed from the adjustment scheme to obtain an optimization scheme, the optimization scheme is output as the adjustment scheme, and then the step S4 is turned to.
Preferably, in step S4, in the process of controlling the antenna to adjust the azimuth angle according to the adjustment scheme, the method further includes:
step B1, collecting the network flow value of each time node in real time, when the next time node is reached, calculating the change rate between the maximum value of the network flow value of the current time node and the maximum value of the network flow value of the time node before the last adjustment, and judging whether the change rate is smaller than a change threshold value:
if yes, taking the azimuth angle of the current time node as the azimuth angle of the next time node, and then returning to the step B1;
if not, azimuth adjustment is performed on the antenna according to the adjustment scheme, so that the antenna is adjusted to the associated azimuth angle at the next time node, and then the step B1 is returned.
Preferably, an automatic control end is provided, and in the step S2 and the step S4, the antenna is remotely controlled by the automatic control end to adjust the azimuth angle.
The invention also provides a system for improving the coverage efficiency of a mobile network based on traffic tides, which is characterized in that the system for improving the coverage efficiency of the mobile network is applied, and comprises:
a data processing side, the data processing side comprising:
the data acquisition module is used for acquiring an adjustable angle range of an antenna of a base station to which a network coverage area belongs, extracting a preset number of azimuth angles in the adjustable angle range and outputting the azimuth angles;
the automatic regulating and controlling end is respectively connected with the data processing end and the antenna and is used for receiving each azimuth angle and controlling the antenna to be respectively regulated to each azimuth angle;
the data processing terminal further comprises:
the data acquisition module is used for respectively acquiring mobile network telephone traffic data of a preset time period at each azimuth angle;
the data processing module is connected with the data acquisition module and used for processing the mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to telephone traffic tides and the azimuth angle associated with each time node, and generating and outputting an adjusting scheme according to each time node and the associated azimuth angle;
the automatic regulation and control end is further used for controlling the antenna to carry out azimuth angle regulation according to the regulation scheme, so that the antenna is respectively regulated to the associated azimuth angle at each time node.
Preferably, the mobile network traffic data includes the maximum number of users in dual connection with non-independent networking or the maximum number of users in connection with independent networking, a first user plane traffic of an uplink radio link control layer, and a second user plane traffic of a downlink radio link control layer; the data processing module comprises:
the first processing unit is used for respectively carrying out normalization processing on the maximum user number in the same time period corresponding to each azimuth angle to obtain a corresponding first numerical value;
the second processing unit is configured to perform normalization processing on the sum of the first user plane traffic and the second user plane traffic of the same time period corresponding to each azimuth angle to obtain a corresponding second value;
the third processing unit is respectively connected with the first processing unit and the second processing unit and is used for processing the same time period of each azimuth angle according to the corresponding first numerical value and the corresponding second numerical value to obtain a third numerical value;
and the fourth processing unit is connected with the third processing unit and is used for respectively taking the azimuth angle with the largest third value in all the azimuth angles of the same time period and the same time period as the time node corresponding to the traffic tide and the associated azimuth angle, and generating the adjustment scheme according to each time node and the associated azimuth angle.
The technical scheme has the following advantages or beneficial effects:
1) identifying traffic tide based on mobile network traffic data, and then establishing an adjustment scheme of a base station antenna based on the traffic tide on the premise of ensuring the stable network performance so as to achieve better traffic absorption and tide scene coverage adaptation, thereby improving the utilization rate of network resources;
2) the azimuth angle of the base station antenna can be automatically regulated and controlled in real time and in a remote way according to the regulation scheme, manual intervention for getting on the station is not needed, the regulation progress is accelerated, errors and risks of getting on the station existing in manual regulation are eliminated, and meanwhile, the influence of weather on regulation work is reduced;
3) the method is suitable for traffic migration tidal scenes of unspecified coverage areas of any mobile network outdoor cell, and has better flexibility and convenient implementation;
4) the method has good expandability, can identify similar scenes of the existing network and implement the scenes by popularizing tidal scene application, improves the utilization efficiency of the network, and achieves the target achievement of cost reduction and efficiency improvement.
Drawings
FIG. 1 is a flow chart illustrating a method for improving coverage performance of a mobile network based on traffic tides according to a preferred embodiment of the present invention;
FIG. 2 is a flow chart illustrating a modification scheme generation process according to a preferred embodiment of the present invention;
FIG. 3 is a flow chart illustrating a tuning scheme optimization process according to a preferred embodiment of the present invention;
FIG. 4 is a flow chart illustrating an adjustment times optimization process according to a preferred embodiment of the present invention
Fig. 5 is a schematic diagram of a mobile network coverage performance enhancing system based on traffic tides according to a preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In accordance with the above-mentioned problems in the prior art, there is provided a method for improving coverage performance of a mobile network based on traffic tides, as shown in fig. 1, which includes:
step S1, obtaining an adjustable angle range of an antenna of a base station to which a network coverage area belongs, and extracting a preset number of azimuth angles within the adjustable angle range;
step S2, adjusting the antenna to each azimuth angle, and collecting mobile network telephone traffic data of a preset time period at each azimuth angle;
step S3, processing the mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to the telephone traffic tide and the azimuth angle associated with each time node, and generating an adjusting scheme according to each time node and the associated azimuth angle;
and step S4, controlling the antenna to perform azimuth angle adjustment according to the adjustment scheme, so that the antenna is respectively adjusted to the associated azimuth angle at each time node.
Specifically, in this embodiment, the network coverage area may be a cell. In the embodiment, the traffic tide can be automatically identified based on the analysis of mobile network traffic data, and then an adjustment scheme of a base station antenna is formulated based on the traffic tide, so that better traffic absorption and tidal scene coverage adaptation are achieved, and the utilization rate of network resources is improved. Furthermore, the base station antenna is controlled through an automatic regulation and control end, the real-time, remote and automatic regulation and control of the azimuth angle of the base station antenna are realized according to the regulation scheme, manual intervention in the station-entering process is not needed, the regulation progress is accelerated, errors in manual regulation and risks in the station-entering process are eliminated, and meanwhile, the influence of weather on the regulation work is reduced. Preferably, the automatic regulation and control end comprises an electric regulation support and a control module connected with the electric regulation support, and further comprises an attitude calibration module to detect antenna attitude data of the base station antenna. The electric adjusting support is preferably an electric adjustable support ANAS, and the control module receives the adjusting scheme and controls the electric adjustable support ANAS to drive the base station antenna to adjust the azimuth angle.
Further specifically, when the base station antenna performs traffic tide identification through an adjustable control, an adjustable angle range of the base station antenna belonging to a network coverage area needs to be acquired at first, and the adjustable angle range can be acquired based on original working parameter azimuth information of the base station antenna. Taking the original azimuth angle information indicating that the original azimuth angle of the base station antenna is 120 degrees, and the azimuth angle regulation range of the electric regulation bracket is plus or minus 45 degrees as an example, the adjustable angle range is (120-45) degrees to (120+45) degrees, namely 75 degrees to 165 degrees, and then a preset number of azimuth angles are extracted within the adjustable angle range, wherein the preset number is n, the azimuth angles can be set from small to large as L1 to Ln, and n is an integer not less than 1. Preferably, when conditions such as an included angle between cells is greater than 30 degrees are considered to avoid interference, the preset number is 5 for each cell, and 5 azimuth angles are obtained by dividing the adjustable angle range into four halves, where n is 5, and the corresponding azimuth angles are L1-75 degrees, L2-97.5 degrees, L3-120 degrees, L4-142.5 degrees, and L5-165 degrees, respectively. More preferably, the azimuth angle may be automatically set as needed.
After each azimuth angle is obtained, the antenna angle is adjusted in real time through the automatic regulating and controlling end, mobile network telephone traffic data of a preset time period is collected in each azimuth angle, and when the mobile network telephone traffic data are carried out on one cell, other cells covered by the base station keep original working parameter azimuth angle information unchanged. Preferably, the preset time period is 0 hour to 24 hours of a day, so as to realize the omnibearing traffic information collection of different time dimensions and different azimuth coverage dimensions. Further preferably, when the azimuth angle is 5, the mobile network traffic data collected correspondingly is the mobile network traffic data from 0 hour to 24 hours of 5 working days, respectively, and the mobile network traffic data may be mobile network traffic data of an hour level.
In a preferred embodiment of the present invention, the mobile network traffic data includes the maximum number of users connected in dual-connection with non-independent networking or the maximum number of users connected in independent networking, a first user plane traffic of an uplink radio link control layer, and a second user plane traffic of a downlink radio link control layer; as shown in fig. 2, step S3 includes:
step S31, respectively carrying out normalization processing on the maximum user number of each azimuth angle in the same time period to obtain a corresponding first numerical value;
step S32, normalizing the sum of the first user plane traffic and the second user plane traffic of the same time period corresponding to each azimuth angle respectively to obtain a corresponding second numerical value;
step S33, processing the same time period of each azimuth angle according to the corresponding first numerical value and the second numerical value respectively to obtain a third numerical value;
and step S34, respectively taking the azimuth angle with the maximum third value in all azimuth angles of the same time period and the same time period as the time node corresponding to the traffic tide and the associated azimuth angle, and generating an adjusting scheme according to each time node and the associated azimuth angle.
The unit of the maximum number of users is MB, and the unit of the first user plane traffic and the unit of the second user plane traffic are MB. After the mobile network traffic data is acquired, it is then processed to identify the traffic tide, which is characterized by the maximum number of users and the maximum flow rate. The same time period may be a time period of one hour, but is not limited thereto, for example, the same time period may also be a time period of other time periods, and may be set according to requirements, for example, the mobile network traffic data of five azimuth angles collected from 9 to 10 am.
Specifically, for the site of jintieweiyang, mobile network traffic data is acquired from a certain cell from 9 am to 10 am from 8 month 3 to 8 month 7 in 2020 as shown in the following table:
based on the above table, firstly, the maximum number of users of 5 azimuth angles from 9 to 10 is normalized to obtain a corresponding first numerical value, and the normalization processing is performed by adopting the following formula:
wherein x is used to represent a first value; x is used to represent the maximum number of users; xmaxA maximum value representing the maximum number of users; xminThe minimum value for representing the maximum number of users.
Based on the above normalization formula and the above table, Xmin＝4，XmaxWhen the value is 6, the first value is 1 for day 3/8, 1 for day 4/8, 1 for day 5/8, 0 for day 6/8, and 1 for day 7/8.
Then, normalizing the sum of the first user plane flow and the second user plane flow of 5 azimuth angles from 9 to 10 to obtain a corresponding second numerical value, and performing normalization by adopting the following formula:
wherein y is used to represent a first value; y is used to represent the sum of the first user plane traffic and the second user plane traffic; y ismaxFor representing a maximum value of a sum of the first user plane traffic and the second user plane traffic; y isminFor representing a minimum value of a sum of the first user plane traffic and the second user plane traffic.
Based on the above normalization formula and the above table, Ymin＝1265.3422，YmaxWhen 3761.5341, the second value is 0.69 for day 3/8, 0.43 for day 4/8, 1 for day 5/8, 0 for day 6/8, and 0.04 for days 8/8 and 7.
And further processing the first numerical value and the second numerical value to obtain a third numerical value, preferably processing the third numerical value by adopting the following formula:
z＝ax+by
wherein z is used to represent a third numerical value; a. b is used for representing weight coefficients; x is used to represent a first value; y is used to represent the second value.
Wherein, if the weighting coefficient a is 0.2 and b is 0.8, then
z8 month and 3 days＝1*0.2+0.69*0.8＝0.75；z8 month and 4 days＝1*0.2+0.43*0.8＝0.54；
z8 month and 5 days＝1*0.2+1*0.8＝1；z8Moon cake6 days＝0*0.2+0*0.8＝0；
z8 month and 7 days＝1*0.2+0.04*0.8＝0.23。
It can be seen that z is the third numerical value8 month and 5 daysTherefore, 10 hours are selected as time nodes of the traffic tide, the azimuth angle corresponding to 8 months and 5 days is selected as the time nodes corresponding to the traffic tide, the processing of other time nodes and azimuth angles of the traffic tide is analogized, and the description is omitted here, and finally, an adjustment scheme is generated according to each time node corresponding to the traffic tide and the associated azimuth angle.
Further, in order to ensure that the network performance is not affected before and after the adjusting the azimuth angle of the antenna based on the adjustment scheme, in a preferred embodiment of the present invention, the mobile network traffic data includes a secondary station adding success rate, as shown in fig. 3, before executing step S4, the method further includes:
step A1, obtaining the auxiliary station adding success rate corresponding to each azimuth angle in the adjustment scheme, and judging whether the auxiliary station adding success rate is smaller than a success rate threshold:
if not, go to step S4;
if yes, eliminating the azimuth angle and the time node corresponding to the auxiliary station adding success rate from the adjustment scheme to obtain an optimization scheme, outputting the optimization scheme as the adjustment scheme, and then turning to the step S4.
The success rate threshold includes, but is not limited to, 95%.
Furthermore, in order to avoid the situation of excessive adjustment times, the adjustment times may be optimized, in a preferred embodiment of the present invention, in the step S4, in the process of controlling the antenna to perform the azimuth angle adjustment according to the adjustment scheme, as shown in fig. 4, the method further includes:
step B1, collecting the network flow value of each time node in real time, when the next time node is reached, calculating the change rate between the maximum value of the network flow value of the current time node and the maximum value of the network flow value of the time node before the last adjustment, and judging whether the change rate is smaller than a change threshold value:
if yes, taking the azimuth angle of the current time node as the azimuth angle of the next time node, and then returning to the step B1;
if not, azimuth adjustment is performed on the antenna according to the adjustment scheme, so that the antenna is adjusted to the associated azimuth angle at the next time node, and then the procedure returns to step B1.
Specifically, in this embodiment, the change rate is calculated by using the following formula:
wherein, C is used for representing the change rate, F' is used for representing the maximum value of the network traffic value of the time node before the last adjustment, and F is used for representing the maximum value of the network traffic value of the current time node. The change threshold may be adaptively configured according to the change of the flow rate and the number of users, and is preferably 10%, that is, if the change rate is less than 10%, the azimuth angle is not adjusted at this time.
The partial adjustment scheme obtained by optimizing the number of times of adjustment can be expressed as follows:
the adjustment schemes in the above table represent azimuth angle adjustment schemes from 0 to 5, and it can be seen that the azimuth angle of the antenna is adjusted to 45 degrees at 0, and the azimuth angle is selected as the azimuth angle at 0 of the first day; adjusting the azimuth angle of the antenna to 90 degrees at 1 time, wherein the azimuth angle is selected as the azimuth angle at 1 time on the third day; adjusting the azimuth angle of the antenna to 113 degrees at the time 2, wherein the azimuth angle is selected as the azimuth angle at the time 2 on the fourth day; adjusting the azimuth angle of the antenna to 45 degrees in 3 hours, wherein the azimuth angle is selected as the azimuth angle in 3 hours in the first day; and so on.
In a preferred embodiment of the present invention, an automatic adjusting terminal is provided, and in step S2 and step S4, the antenna is remotely controlled by the automatic adjusting terminal to adjust the azimuth angle.
The present invention further provides a system for improving coverage efficiency of a mobile network based on traffic tides, wherein the system for improving coverage efficiency of a mobile network is characterized in that, by applying the method for improving coverage efficiency of a mobile network, as shown in fig. 5, the system for improving coverage efficiency of a mobile network comprises:
the data acquisition module 11 is configured to acquire an adjustable angle range of an antenna of a base station to which a network coverage area belongs, extract a preset number of azimuth angles within the adjustable angle range, and output the extracted azimuth angles;
the automatic regulating and controlling end 2 is respectively connected with the data processing end 1 and the antenna 3 and is used for receiving each azimuth angle and controlling the antenna to be respectively regulated to each azimuth angle;
the data processing terminal 1 further includes:
the data acquisition module 12 is used for respectively acquiring mobile network telephone traffic data of a preset time period at each azimuth angle;
the data processing module 13 is connected with the data acquisition module 12 and is used for processing the mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to the telephone traffic tide and the azimuth angle associated with each time node, and generating and outputting an adjusting scheme according to each time node and the associated azimuth angle;
the automatic regulation and control terminal 2 is further configured to control the antenna to perform azimuth angle regulation according to the regulation scheme, so that the antenna is respectively regulated to the associated azimuth angles at each time node.
Specifically, in this embodiment, the data processing terminal 1 and the automatic control terminal 2 may perform interactive communication through an HTTP/WebSocket protocol. The automatic regulation and control terminal 2 comprises a service management center, a message control center, an instant adjustment interface service, an external data interface service and a foreground application access service, besides the electric regulation support, a control module connected with the electric regulation support and an attitude calibration module, and the service management center is in communication connection with the data processing terminal 1 and the control module respectively.
In a preferred embodiment of the present invention, the mobile network traffic data includes the maximum number of users connected in dual-connection with non-independent networking or the maximum number of users connected in independent networking, a first user plane traffic of an uplink radio link control layer, and a second user plane traffic of a downlink radio link control layer; the data processing module 13 includes:
the first processing unit 131 is configured to perform normalization processing on the maximum user numbers in the same time period corresponding to each azimuth angle to obtain corresponding first numerical values;
the second processing unit 132 is configured to perform normalization processing on the sum of the first user plane traffic and the second user plane traffic in the same time period corresponding to each azimuth angle, respectively, to obtain a corresponding second value;
the third processing unit 133 is respectively connected to the first processing unit 131 and the second processing unit 132, and configured to process the same time period of each azimuth angle according to the corresponding first numerical value and second numerical value to obtain a third numerical value;
and the fourth processing unit 134 is connected to the third processing unit 133, and is configured to take the azimuth angle with the largest third value in all azimuth angles of the same time period and the same time period as the time node and the associated azimuth angle corresponding to the traffic tide, respectively, and generate an adjustment scheme according to each time node and the associated azimuth angle.
As a preferred embodiment, the method and system for improving coverage efficiency of a mobile network based on traffic tides according to the present invention are applied to a certain base station in the shanghai, the surrounding coverage environments of the base station are two residential areas and railway stations, through forward and backward comparison and analysis, the azimuth angle is the original working parameter azimuth angle information, that is, when the azimuth angle is 100 degrees, the sum of the total uplink and downlink flows is 10752MB, and after the method and system for improving coverage efficiency of a mobile network based on traffic tides according to the present technical solution automatically adjust the azimuth angle of an antenna, the sum of the total uplink and downlink flows is 15890MB, and the improvement ratio is 47.79%.
As another preferred embodiment, the method and system for improving coverage efficiency of a mobile network based on traffic tides can be popularized and applied to other algorithm scenarios, such as an emergency guarantee scenario of a base station failure, a major event guarantee scenario, and the like, to guarantee experience.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. A method for improving the coverage efficiency of a mobile network based on traffic tides, comprising:
step S1, obtaining an adjustable angle range of an antenna of a base station to which a network coverage area belongs, and extracting a preset number of azimuth angles within the adjustable angle range;
step S2, adjusting the antenna to each azimuth angle respectively, and collecting mobile network telephone traffic data of a preset time period at each azimuth angle respectively;
step S3, processing the mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to the telephone traffic tide and the azimuth angle associated with each time node, and generating an adjusting scheme according to each time node and the associated azimuth angle;
step S4, controlling the antennas to perform azimuth angle adjustment according to the adjustment scheme, so that the antennas are respectively adjusted to the associated azimuth angles at each of the time nodes.
2. The method as claimed in claim 1, wherein in the step S1, the predetermined number is 5, and the 5 orientation angles are obtained by dividing the adjustable angle range into four equal parts.
3. The method as claimed in claim 1, wherein in the step S2, the predetermined time period is from 0 hour to 24 hours of a day.
4. The method as claimed in claim 1, wherein the mobile network traffic data includes a maximum number of non-independent dual-connection users or a maximum number of independent dual-connection users, a first user plane traffic of an uplink radio link control layer, and a second user plane traffic of a downlink radio link control layer; the step S3 includes:
step S31, normalizing the maximum number of users in the same time period corresponding to each azimuth angle to obtain a corresponding first numerical value;
step S32, normalizing the sum of the first user plane traffic and the second user plane traffic in the same time period corresponding to each azimuth angle to obtain a corresponding second value;
step S33, processing the same time period of each azimuth angle according to the corresponding first numerical value and the second numerical value respectively to obtain a third numerical value;
step S34, regarding the azimuth angle with the largest third value in all the azimuth angles of the same time period and the same time period as the time node corresponding to the traffic tide and the associated azimuth angle, respectively, and generating the adjustment scheme according to each time node and the associated azimuth angle.
5. The method as claimed in claim 4, wherein in the step S33, the third value is obtained by the following formula:
z＝ax+by
wherein z is used to represent the third numerical value; a. b is used for representing weight coefficients; x is used to represent the first numerical value; y is used to represent the second value.
6. The method as claimed in claim 1, wherein the mobile network traffic data includes a secondary station add success rate, and before the step S4, the method further comprises:
step a1, obtaining the secondary station adding success rate corresponding to each azimuth angle in the adjustment scheme, and determining whether the secondary station adding success rate is smaller than a success rate threshold:
if not, go to step S4;
if yes, the azimuth angle and the time node corresponding to the secondary station adding success rate are removed from the adjustment scheme to obtain an optimization scheme, the optimization scheme is output as the adjustment scheme, and then the step S4 is turned to.
7. The method as claimed in claim 1, wherein in the step S4, in the process of controlling the antenna to adjust the azimuth angle according to the adjustment scheme, the method further comprises:
step B1, collecting the network flow value of each time node in real time, when the next time node is reached, calculating the change rate between the maximum value of the network flow value of the current time node and the maximum value of the network flow value of the time node before the last adjustment, and judging whether the change rate is smaller than a change threshold value:
if yes, taking the azimuth angle of the current time node as the azimuth angle of the next time node, and then returning to the step B1;
if not, azimuth adjustment is performed on the antenna according to the adjustment scheme, so that the antenna is adjusted to the associated azimuth angle at the next time node, and then the step B1 is returned.
8. The method as claimed in claim 1, wherein an automatic control end is provided, and in step S2 and step S4, the antenna is remotely controlled by the automatic control end to adjust the azimuth angle.
9. A system for improving coverage performance of a mobile network based on traffic tides, wherein the method for improving coverage performance of a mobile network according to any one of claims 1 to 8 is applied, the system for improving coverage performance of a mobile network comprises:
a data processing side, the data processing side comprising:
the data acquisition module is used for acquiring an adjustable angle range of an antenna of a base station to which a network coverage area belongs, extracting a preset number of azimuth angles in the adjustable angle range and outputting the azimuth angles;
the automatic regulating and controlling end is respectively connected with the data processing end and the antenna and is used for receiving each azimuth angle and controlling the antenna to be respectively regulated to each azimuth angle;
the data processing terminal further comprises:
the data acquisition module is used for respectively acquiring mobile network telephone traffic data of a preset time period at each azimuth angle;
the data processing module is connected with the data acquisition module and used for processing the mobile network telephone traffic data corresponding to each azimuth angle to obtain a plurality of time nodes corresponding to telephone traffic tides and the azimuth angle associated with each time node, and generating and outputting an adjusting scheme according to each time node and the associated azimuth angle;
the automatic regulation and control end is further used for controlling the antenna to carry out azimuth angle regulation according to the regulation scheme, so that the antenna is respectively regulated to the associated azimuth angle at each time node.
10. The system of claim 9, wherein the mobile network traffic data includes a maximum number of non-independent dual-connection users or a maximum number of independent dual-connection users, a first user plane traffic of an uplink radio link control layer, and a second user plane traffic of a downlink radio link control layer; the data processing module comprises:
the first processing unit is used for respectively carrying out normalization processing on the maximum user number in the same time period corresponding to each azimuth angle to obtain a corresponding first numerical value;
the second processing unit is configured to perform normalization processing on the sum of the first user plane traffic and the second user plane traffic of the same time period corresponding to each azimuth angle to obtain a corresponding second value;
the third processing unit is respectively connected with the first processing unit and the second processing unit and is used for processing the same time period of each azimuth angle according to the corresponding first numerical value and the corresponding second numerical value to obtain a third numerical value;
and the fourth processing unit is connected with the third processing unit and is used for respectively taking the azimuth angle with the largest third value in all the azimuth angles of the same time period and the same time period as the time node corresponding to the traffic tide and the associated azimuth angle, and generating the adjustment scheme according to each time node and the associated azimuth angle.
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