CN109803270B - Optimization method for mobile network coverage and server - Google Patents
Optimization method for mobile network coverage and server Download PDFInfo
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Abstract
The embodiment of the invention provides a mobile network coverage optimization method and a server, relates to the technical field of communication, and solves the problem that the mobile network coverage cannot be solved in time through drive test data in the prior art, so that the user experience is poor. Determining a cluster to which each communication cell in at least one communication cell belongs according to at least one initial center point coordinate and longitude coordinates and latitude coordinates of each communication cell in at least one communication cell; determining the coordinate of the simulation center point of each cluster according to the longitude coordinate and the latitude coordinate of each communication cell contained in each cluster; and if the re-determined fourth simulation center point coordinate of the normal coverage cluster, the fifth simulation center point coordinate of the excessive coverage cluster and the sixth simulation center point coordinate of the weak coverage cluster meet the preset conditions, stopping optimizing each communication cell in at least one communication cell in the designated area.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and a server for optimizing mobile network coverage.
Background
Compared with other mobile network systems, the Long Term Evolution (Long Term Evolution, abbreviated as LTE) has strong correlation among coverage, interference and capacity, and if a certain index is controlled unreasonably, internal balance among the three is lost, so that network performance is reduced, and user perception is affected. The coverage problem often concerned in the wireless network optimization work includes two conditions of weak coverage and over coverage, the over coverage refers to the phenomenon that the coverage in the network is too large and too far away, the over coverage shows that the signal of the main control sector is too strong, and exceeds the reasonable coverage range of the sector, so that no main pilot frequency or cross-area signal is generated in the coverage range of other cells, and the main control signal is generated, which brings serious interference to the sector, causes uneven distribution of interference in the network, further causes the problems of poor connection performance, poor call quality, call drop and the like caused by disorder of wireless signals, and directly affects the use perception of users. The weak coverage refers to the phenomenon of insufficient signal strength in a coverage area due to unreasonable antenna feeder or equipment parameter setting, and similarly, the weak coverage also causes insufficient control force of a main coverage cell in a main control coverage range, so that the due coverage capability of the cell cannot be exerted, and the waste of construction resources is caused.
For the coverage problem of the mobile network, usually, by combining with the analysis of the drive test data, through reading the test log file, it is found that there are abnormal events caused by the over coverage or the weak coverage of the remote cell, such as poor average Chip Energy (Energy per Chip, abbreviated as EC)/total Interference power spectral density (Io), continuous call drop, low data traffic download rate, etc., and though the above discovery method can directly and accurately find the problems of the over coverage and the weak coverage, there are the following problems:
firstly, time and labor are consumed, and the LOG positioning problem needs to be read one by one manually;
and secondly, the whole network coverage problem cannot be comprehensively traversed only under the condition of the road surface, so that the optimization work is passive.
Although the network problem can be reproduced by combining drive test data, the network problem can only be solved in a point-like manner, and the problem can be discovered when the problem occurs and is serious, so that the user experience is poor.
Therefore, in the prior art, the problem of mobile network coverage cannot be solved in time through the drive test data, which results in poor user experience.
Disclosure of Invention
Embodiments of the present invention provide an optimization method and a server for mobile network coverage, which can reduce the probability of frame sealing glue falling and breaking, and solve the problem of poor user experience caused by the fact that the problem of mobile network coverage cannot be solved in time through drive test data in the prior art.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for optimizing mobile network coverage, including: obtaining at least one coverage efficiency of each communication cell in at least one communication cell in a designated area after adjusting the downward inclination angle of an antenna; wherein, the coverage efficiency is determined by the communication cell under the interference of any adjacent communication cell corresponding to the communication cell; determining the coordinates of the center points of the clustering clusters according to at least one cell interval and at least one coverage efficiency of each communication cell; the cell distance is determined by longitude coordinates and latitude coordinates of the communication cell and longitude coordinates and latitude coordinates of any adjacent communication cell corresponding to the communication cell, and the cluster comprises any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster; determining a central point coordinate of a cluster before adjusting the downward inclination angle of the antenna and a central point coordinate of a cluster after adjusting the downward inclination angle of the antenna when the central point coordinate of each cluster does not meet a preset condition, determining a cluster to which each communication cell belongs according to the central point coordinate of each cluster after adjusting the downward inclination angle of the antenna, and adjusting the downward inclination angle of the antenna of the communication cell in each cluster; the preset conditions comprise that the center point coordinate of each same clustering cluster before the downward inclination angle of the antenna is adjusted is the same as the center point coordinate of each same clustering cluster after the downward inclination angle of the antenna is adjusted; and when determining that the coordinates of the central point of the cluster before the downward inclination angle of the antenna and the coordinates of the central point of the cluster after the downward inclination angle of the antenna meet the preset conditions, stopping optimizing the at least one communication cell.
As can be seen from the foregoing solution, the method for optimizing mobile network coverage provided in the embodiments of the present invention does not need to solve the problem of mobile network coverage according to drive test data, but determines a cluster to which each communication cell in at least one communication cell belongs based on a k-means clustering algorithm and longitude and latitude coordinates of each communication cell in at least one communication cell in a specified area; then determining the coordinate of the simulation center point of each cluster according to the longitude coordinate and the latitude coordinate of each communication cell contained in each cluster; because the coverage area of each communication cell is not set properly in practical application, the coverage area of the communication cell can be adjusted by adjusting the downward inclination angle of the antenna of the communication cell in the over-coverage cluster and the weak-coverage cluster; then, according to the first simulation center point coordinate, the second simulation center point coordinate and the third simulation center point coordinate, re-determining a cluster to which each communication cell belongs in at least one communication cell; whether the fourth simulation center point coordinate of the re-determined normal coverage cluster, the fifth simulation center point coordinate of the over coverage cluster and the sixth simulation center point coordinate of the weak coverage cluster meet preset conditions or not can be judged in real time; if the fourth simulation center point coordinate of the normal coverage cluster, the fifth simulation center point coordinate of the excessive coverage cluster and the sixth simulation center point coordinate of the weak coverage cluster which are re-determined meet the preset conditions, it is indicated that the antenna downtilt angle of each communication cell in at least one communication cell in the designated area is optimized, namely the coverage area of each communication cell is optimized, and the optimization of each communication cell in at least one communication cell in the designated area is not needed; therefore, in the prior art, the problem of mobile network coverage cannot be solved in time through the drive test data, which results in poor user experience.
In a second aspect, an embodiment of the present invention provides a server, including: the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring at least one coverage efficiency of each communication cell in at least one communication cell in a designated area after the downward inclination angle of an antenna is adjusted; wherein, the coverage efficiency is determined by the communication cell under the interference of any adjacent communication cell corresponding to the communication cell; the processing unit is used for determining the coordinates of the center points of the clustering clusters according to at least one cell distance of each communication cell and at least one coverage efficiency acquired by the acquisition unit; the cell distance is determined by longitude coordinates and latitude coordinates of the communication cell and longitude coordinates and latitude coordinates of any adjacent communication cell corresponding to the communication cell, and the cluster comprises any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster; the processing unit is further used for determining a central point coordinate of the cluster before the antenna downward inclination angle is adjusted and a central point coordinate of the cluster after the antenna downward inclination angle is adjusted when the central point coordinate does not meet a preset condition, determining a cluster to which each communication cell belongs according to the central point coordinate of each cluster after the antenna downward inclination angle is adjusted, and adjusting the antenna downward inclination angle of the communication cell in each cluster; the preset conditions comprise that the center point coordinate of each same clustering cluster before the downward inclination angle of the antenna is adjusted is the same as the center point coordinate of each same clustering cluster after the downward inclination angle of the antenna is adjusted; and the processing unit is also used for stopping the optimization of the at least one communication cell when the central point coordinate of the clustering cluster before the downward inclination angle of the antenna is adjusted and the central point coordinate of the clustering cluster after the downward inclination angle of the antenna is adjusted meet preset conditions.
In a third aspect, an embodiment of the present invention provides a server, including: communication interface, processor, memory, bus; the memory is used for storing computer-executable instructions, the processor is connected with the memory through the bus, and when the server runs, the processor executes the computer-executable instructions stored in the memory so as to enable the server to execute the method provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium comprising instructions which, when run on a computer, cause the computer to perform the method as provided in the first aspect above.
It can be understood that any one of the servers provided above is configured to execute the method according to the first aspect provided above, and therefore, the beneficial effects that can be achieved by the server refer to the beneficial effects of the method according to the first aspect and the solutions in the following detailed description, which are not described herein again.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a network architecture diagram applied to an evaluation method for communication cell modification priority according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for optimizing mobile network coverage according to an embodiment of the present invention;
fig. 3 is a second flowchart illustrating an optimization method for mobile network coverage according to an embodiment of the present invention;
fig. 4 is a third schematic flowchart of a method for optimizing mobile network coverage according to an embodiment of the present invention;
fig. 5 is a fourth flowchart illustrating an optimization method for mobile network coverage according to an embodiment of the present invention;
fig. 6 is a fifth flowchart illustrating an optimization method for mobile network coverage according to an embodiment of the present invention;
fig. 7 is a sixth schematic flowchart of a method for optimizing mobile network coverage according to an embodiment of the present invention;
fig. 8 is a seventh schematic flowchart illustrating a method for optimizing mobile network coverage according to an embodiment of the present invention;
fig. 9 is a schematic diagram illustrating the division of cluster clusters in a mobile network coverage optimization method flow according to an embodiment of the present invention;
fig. 10-1 is a diagram of one specific implementation manner of adjusting the antenna downtilt angle in the method for optimizing mobile network coverage according to the embodiment of the present invention;
fig. 10-2 shows a second specific implementation manner of adjusting the antenna downtilt angle in the method for optimizing mobile network coverage according to the embodiment of the invention;
fig. 11 is a schematic structural diagram of a server according to an embodiment of the present invention;
fig. 12 is a second schematic structural diagram of a server according to an embodiment of the present invention.
Reference numerals:
a server-10;
an acquisition unit-101; a processing unit-102.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used for distinguishing the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like are not limited in number or execution order.
In the embodiments of the present invention, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the embodiments of the present invention, the meaning of "a plurality" means two or more unless otherwise specified. For example, a plurality of networks refers to two or more networks.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The symbol "/" herein denotes a relationship in which the associated object is or, for example, a/B denotes a or B.
Fig. 1 is a network architecture diagram applied to an evaluation method for communication cell modification priority according to an embodiment of the present invention. Referring to fig. 1, the network architecture diagram includes a server 1, one or more base stations 2 connected to the server; wherein, each base station 2 can cover at least one communication cell (here, the base station 2 covers 3 communication cells 3 at the same time for illustration), each communication cell 3 contains at least one user 4; in practical applications, a User establishes a connection with a communication cell through User Equipment (UE), and the UE may be an intelligent mobile terminal. The intelligent mobile terminal is a mobile terminal with an operating system. The intelligent mobile terminal can be: the smart mobile terminal may be a terminal device such as a smart phone, a tablet computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), a smart watch, and a smart bracelet, or the smart mobile terminal may be another type of smart mobile terminal, and embodiments of the present invention are not limited in particular.
In the prior art, the problem of mobile network coverage cannot be solved in time through drive test data, so that the user experience is poor; in order to solve the above problems, the method for optimizing mobile network coverage provided in the embodiments of the present invention combines network management side multidimensional data and a data mining algorithm to implement cell performance index calculation, so as to implement automatic adjustment of an antenna downtilt angle of a communication cell, thereby improving work efficiency of daily optimization, and effectively saving operation cost and construction investment of an operator; generally, communication cells in a designated area can be divided into normal coverage clusters and abnormal coverage clusters, and the two cases of increasing the downward inclination angle of the antenna and decreasing the downward inclination angle of the antenna are considered when adjusting the downward inclination angle of the antenna of the communication cell in the abnormal coverage cluster; thus, the abnormal coverage cluster is divided into an excessive coverage cluster and a weak coverage cluster; here, taking an example of dividing the communication cells in the designated area into a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster, a specific implementation procedure is as follows:
example one
An embodiment of the present invention provides a method for optimizing mobile network coverage, as shown in fig. 2, including:
s101, obtaining at least one coverage efficiency of each communication cell in at least one communication cell in a designated area after adjusting the downward inclination angle of an antenna; wherein the coverage efficiency is determined by the communication cell under the interference of any one of the adjacent communication cells corresponding to the communication cell.
Specifically, the neighbor cell list is static data configured at a Radio Network Controller (Radio Network Controller, RNC for short) side, and is used for indicating a static parameter for the UE to perform inter-cell handover. The adjacent communication cells of a communication cell are generally divided into three categories: the system comprises a same-frequency adjacent communication cell, a different-frequency adjacent communication cell and a different-system adjacent communication cell. In the invention, when the coverage radius of the communication cell is converted, only the same-frequency adjacent communication cells are used.
It should be noted that, in practical applications, the cell distance between each communication cell and any adjacent communication cell of the communication cell is not changed; therefore, the server can determine the corresponding relationship between each communication cell and its adjacent communication cells according to the neighbor cell list, so that before step S101, at least one cell distance of each communication cell in at least one communication cell in the designated area needs to be calculated once, and the calculation can be directly used in the subsequent calculation process.
S102, determining a center point coordinate of a cluster according to at least one cell interval and at least one coverage efficiency of each communication cell; the cell distance is determined by longitude coordinates and latitude coordinates of the communication cell and longitude coordinates and latitude coordinates of any adjacent communication cell corresponding to the communication cell, and the cluster comprises any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster.
Optionally, the determining the center point coordinate of each cluster according to at least one cell distance and at least one coverage efficiency of each communication cell, as shown in fig. 3, includes:
s1020, determining a central point coordinate of the cluster according to a central point calculation formula, at least one cell interval of each communication cell and at least one coverage efficiency; wherein, the central point formula includes:
wherein, C1First center point coordinate, C, representing a normally covered cluster2Second center point coordinate, C, representing an over-covered cluster3Represents the third center point coordinate of the weak coverage cluster,
means for representing an average of at least one cell spacing of each of the at least one communication cell,
an average value representing at least one coverage efficiency of each of the at least one communication cell, P representing a liberalization efficiency coefficient, P > 0.
S103, when the coordinates of the center points of the cluster clusters before the downward inclination angle of the antenna is adjusted and the coordinates of the center points of the cluster clusters after the downward inclination angle of the antenna is adjusted do not meet preset conditions, determining the cluster to which each communication cell belongs according to the coordinates of the center points of each cluster after the downward inclination angle of the antenna is adjusted, and adjusting the downward inclination angle of the antenna of the communication cell in each cluster; the preset conditions comprise that the center point coordinate of each same clustering cluster before the antenna downward inclination angle is adjusted is the same as the center point coordinate of each same clustering cluster after the antenna downward inclination angle is adjusted.
It should be noted that, in practical applications, the K-means clustering algorithm is a very typical distance-based clustering algorithm, and the distance is used as an evaluation index of similarity, that is, the closer the distance between two objects is, the greater the similarity between the two objects is. The algorithm considers that the same cluster is composed of objects with similar distances, so that the obtained compact and independent cluster is taken as a final target. The specific algorithm is as follows:
and firstly, randomly selecting k clustering objects from n clustering objects as clustering centers.
Secondly, calculating the distance between each clustering object and each clustering center; assuming a certain clustering object and k clustering centers, calculating k distances, and then dividing the clustering object to the clustering center corresponding to the shortest distance in the k clustering centers; thus, according to the clustering method, each clustering object is divided into different clustering centers.
The calculation formula for calculating a certain clustering object and k clustering centers is as follows:
wherein d (M)n，Ck) Denotes the n-thDistance between the clustering object M and the kth clustering center C, Mnx represents longitude coordinates of the nth clustering object M, Mny represents latitude coordinates of the nth clustering object M, CkxLongitudinal coordinate representing the k-th cluster center C, CkyIndicating the latitude coordinate of the k-th cluster center C.
Specifically, in the method for optimizing mobile network coverage provided by the embodiment of the present invention, when clustering is performed on at least one communication cell in a designated area by using a K-means clustering algorithm, it is not necessary to select the communication cell as an initial clustering center in the at least one communication cell; determining the coordinates of the center points of the cluster clusters according to at least one cell distance and at least one coverage efficiency of each communication cell; because, in the embodiment of the invention, at least one communication cell is clustered into a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster; therefore, a first center point coordinate of a normal coverage cluster, a second center point coordinate of an excessive coverage cluster, and a third center point coordinate of a weak coverage cluster are determined according to at least one cell interval and at least one coverage efficiency of each communication cell; then, dividing each communication cell into a normal coverage cluster, an excessive coverage cluster or a weak coverage cluster according to a K-means clustering algorithm.
Optionally, adjusting the antenna downtilt angle of the communication cell in each cluster, as shown in fig. 4, includes:
and S1030, when the communication cell is determined to belong to the normal coverage cluster, adjusting the downward inclination angle of the antenna of the communication cell according to a first formula.
And S1031, when determining that the communication cell belongs to the excessive coverage cluster, adjusting the downward inclination angle of the antenna of the communication cell according to a second formula.
S1032, when the communication cell is determined to belong to the weak coverage cluster, adjusting the downward inclination angle of the antenna of the communication cell according to a third formula; wherein the first formula comprises:
θ(t+1)＝θt；
the second formula includes:
θ(t+1)＝θt(1+ε)；
the third formula includes:
θ(t+1)＝θt×ω；
wherein, thetatIndicating the current antenna downtilt angle, theta, of the communication cell(t+1)Denotes an antenna down tilt angle of the communication cell after adjustment, epsilon and omega denote adjustment coefficients, 1 ≧ epsilon ≧ 0, 1 ≧ omega ≧ 0, and epsilon + omega ═ 1.
And S104, when the coordinates of the central point of the cluster before the downward inclination angle of the antenna is adjusted and the coordinates of the central point of the cluster after the downward inclination angle of the antenna is adjusted meet preset conditions, the optimization of at least one communication cell is stopped.
Specifically, when judging that the center point coordinate of the cluster before the antenna downward inclination angle is adjusted and the center point coordinate of the cluster after the antenna downward inclination angle is adjusted meet the preset condition, judging whether the antenna downward inclination angle of the communication cell in each cluster needs to be adjusted according to the E criterion, wherein the judgment basis is that if the sum of the distances from each communication cell in each appointed cluster to the center point coordinate corresponding to the appointed cluster before the antenna downward inclination angle of the communication cell is adjusted is the same as the sum of the distances from each communication cell in each appointed cluster to the center point coordinate corresponding to the appointed cluster after the antenna downward inclination angle of the communication cell is adjusted, the antenna downward inclination angle of the communication cell does not need to be adjusted; wherein the designated cluster includes any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster, and the E-criterion judgment includes:
wherein E represents the sum of the distances from each communication cell P in n communication cells in each designated cluster i in the k designated clusters to the center point coordinate m corresponding to the designated cluster, and P represents the sum of the distances from each communication cell P in the n communication cells in each designated cluster i in the k designated clusters to the center point coordinate m corresponding to the designated clusterijDenotes the coordinates of the jth communication cell within the designated cluster i, miRepresenting the coordinates of the center point of the specified cluster i; wherein each coordinate comprises a longitude coordinate and a latitude coordinate.
Optionally, before obtaining at least one coverage efficiency of each communication cell in at least one communication cell in the designated area after adjusting the antenna downtilt angle, as shown in fig. 5, the method further includes:
s105, acquiring a neighbor list, MR data, longitude coordinates and latitude coordinates of each communication cell in at least one communication cell in the designated area; the MR data comprises a first RSRP value of a current communication cell and a second RSRP value of each adjacent communication cell, wherein the first RSRP value of the current communication cell and the second RSRP value of each adjacent communication cell are reported by at least one user;
s106, determining at least one coverage efficiency of the communication cell according to the adjacent cell list and the MR data of the communication cell.
S107, determining at least one cell distance of the communication cell according to the adjacent cell list, the longitude coordinate and the latitude coordinate of the communication cell.
Optionally, determining at least one coverage efficiency of the communication cell according to the neighbor list and the MR data of the communication cell, as shown in fig. 6, includes:
s1060, determining at least one coverage efficiency of the communication cell according to the coverage efficiency calculation formula, the neighbor cell list of the communication cell and the MR data; wherein, the coverage efficiency calculation formula comprises:
wherein, DCVijDenotes the coverage efficiency, C, of communication cell i under interference of adjacent communication cell jijmRepresenting the sampling coefficient, n representing the total number of users, n being an integer greater than or equal to 1, m ∈ [1, n]，RSRPimA first RSRP value, RSRP, representing a communication cell i reported by a user mjmA second RSRP value, D, representing the neighbor communication cell j reported by user mthRepresenting an RSRP threshold.
In particular, in actual due to the intermediate DCVijIs calculated to be in [0, 1 ]]A value of the interval; wherein, DCVijThe closer to 1 the calculation result of (A) represents a phaseThe larger the interference of the adjacent communication cell j to the communication cell i is; DCVijThe closer the calculation result of (a) is to 0, the smaller the interference of the adjacent communication cell j to the communication cell i is; DCVijWhen the calculation result of (2) is 0, it indicates that there is no influence between the communication cell i and the adjacent communication cell j.
Specifically, at least one cell gap and at least one coverage efficiency between one communication cell and its corresponding neighboring communication cell are shown in table 1.
Note: wherein the table is sorted in reverse order by DCV.
TABLE 1
Optionally, determining at least one cell distance of the communication cell according to the neighboring cell list, the longitude coordinate, and the latitude coordinate of the communication cell, as shown in fig. 7, includes:
s1070, determining at least one cell distance of the communication cell according to the distance calculation formula and the adjacent cell list, longitude coordinates and latitude coordinates of the communication cell; wherein, the distance calculation formula includes:
wherein L isijRepresents the cell distance, Lat, of any adjacent communication cell j in the adjacent cell list corresponding to the communication cell and the communication cell i i1 is the latitude coordinate, Lat, of the communication cell ij2 is the latitude coordinate, Lon, of any one of the adjacent communication cells j i1 is the longitude coordinate, Lon, of the communication cell ijAnd 2 is the longitude coordinate of any adjacent communication cell j.
Specifically, as shown in fig. 8, when clustering is performed on at least one communication cell in the designated area for the first time, it is necessary to obtain a neighbor list, MR data, longitude coordinates, and latitude coordinates of each communication cell in the at least one communication cell in the designated area; then determining at least one coverage efficiency of the communication cell according to the neighbor cell list and the MR data of the communication cell; determining at least one cell distance of the communication cell according to the neighbor cell list, the longitude coordinate and the latitude coordinate of the communication cell; determining the coordinates of the center points of the clustering clusters according to at least one cell interval and at least one coverage efficiency of each communication cell; because the communication cells in the designated area are clustered for the first time, namely the antenna direction angles of the communication cells are not adjusted at the moment, whether the coordinates of the center points of the clustered clusters meet the preset conditions or not does not need to be judged; at this time, only the center point coordinate of each cluster is calculated, and next, the cell distance between each communication cell and the center point coordinate of each cluster is calculated according to the center point coordinate of each cluster, so that the cluster to which each communication cell belongs can be determined according to a K-means clustering algorithm.
At this time, in order to optimize the communication cells with weak coverage or over coverage in the designated area, the antenna downtilt angle of the communication cell in each cluster needs to be adjusted, so as to judge whether the center point coordinate of the cluster before the antenna downtilt angle is adjusted and the center point coordinate of the cluster after the antenna downtilt angle is adjusted meet a preset condition, when the preset condition is met, the optimization of at least one communication cell is stopped, when the preset condition is not met, the cluster to which each communication cell belongs is determined according to the center point coordinate of each cluster after the antenna downtilt angle is adjusted, and the antenna downtilt angle of the communication cell in each cluster is adjusted.
Specifically, in practical applications, as shown in fig. 9, when each antenna downward inclination angle of a communication cell corresponds to a certain coverage area, when the antenna downward inclination angle changes, the coverage area of the communication cell is caused to change; if the position of the user is not changed, the MR data reported by the user is changed due to the change of the coverage area transmission of the communication cell, so that the coordinate of the center point of the cluster is also changed; because the coordinates of the central point of the cluster are changed, the number of the communication cells contained in the cluster may also be changed, and when the coordinates of the central point of the cluster before the downward inclination angle of the antenna is adjusted and the coordinates of the central point of the cluster after the downward inclination angle of the antenna is adjusted are the same for each type of cluster, the communication cells contained in each cluster cannot be changed along with the adjustment of the downward inclination angle of the antenna, namely the coverage range of each communication cell is optimal at the moment, so that the optimization of the coverage range of at least one communication cell in the designated area can be realized automatically.
Specifically, when the server adjusts the downward inclination angle of the antenna of the communication cell, an achievable way is as follows: as shown in fig. 10-1, the antenna is fixed on the fixed bracket by the rotating component (the fixed bracket is vertical to the horizontal direction, and the downward inclination angle is the included angle between the antenna and the horizontal direction); because the antenna is fixed on the rotating component, when the rotating component rotates, the antenna also rotates along with the rotating component; namely, the downward inclination angle of the antenna of the communication cell can be adjusted by controlling the rotation angle of the rotating component; specifically, the rotating part comprises a gear and a rotating motor, the antenna is fixed on the gear, the gear is fixed on a rotor of the rotating motor, the rotating motor is fixed on the fixed support, and when the server determines the angle of the downward inclination angle of the antenna to be adjusted, the server sends a control message containing the angle to the base station, so that the base station controls the rotating motor of the corresponding communication cell to rotate according to the control message, and the downward inclination angle of the antenna is adjusted.
One way that can be achieved is: as shown in fig. 10-2, the antenna and the fixing bracket are fixed on the same gear (the fixing bracket is perpendicular to the horizontal direction, and the downward inclination angle is the angle between the antenna and the horizontal direction), and an elastic member is arranged between the antenna and the fixing bracket and used for separating the antenna from the fixing member; the fixed support is also fixed with a retractable device, and the retractable end of the retractable device is connected with the antenna; the retractable distance of the retractable device is proportional to the downward inclination angle of the antenna; therefore, when the server determines the angle of the antenna downward inclination angle which needs to be adjusted, the server sends a control message containing the angle to the base station, so that the base station can control the retraction distance of the retraction device of the corresponding communication cell according to the control message, and the adjustment of the antenna downward inclination angle is realized.
As can be seen from the foregoing solution, the method for optimizing mobile network coverage provided in the embodiments of the present invention does not need to solve the problem of mobile network coverage according to drive test data, but determines a cluster to which each communication cell in at least one communication cell belongs based on a k-means clustering algorithm and longitude and latitude coordinates of each communication cell in at least one communication cell in a specified area; then determining the coordinate of the simulation center point of each cluster according to the longitude coordinate and the latitude coordinate of each communication cell contained in each cluster; because the coverage area of each communication cell is not set properly in practical application, the coverage area of the communication cell can be adjusted by adjusting the downward inclination angle of the antenna of the communication cell in the over-coverage cluster and the weak-coverage cluster; then, according to the first simulation center point coordinate, the second simulation center point coordinate and the third simulation center point coordinate, re-determining a cluster to which each communication cell belongs in at least one communication cell; whether the fourth simulation center point coordinate of the re-determined normal coverage cluster, the fifth simulation center point coordinate of the over coverage cluster and the sixth simulation center point coordinate of the weak coverage cluster meet preset conditions or not can be judged in real time; if the fourth simulation center point coordinate of the normal coverage cluster, the fifth simulation center point coordinate of the excessive coverage cluster and the sixth simulation center point coordinate of the weak coverage cluster which are re-determined meet the preset conditions, it is indicated that the antenna downtilt angle of each communication cell in at least one communication cell in the designated area is optimized, namely the coverage area of each communication cell is optimized, and the optimization of each communication cell in at least one communication cell in the designated area is not needed; therefore, in the prior art, the problem of mobile network coverage cannot be solved in time through the drive test data, which results in poor user experience.
Example two
An embodiment of the present invention provides a server 10, as shown in fig. 11, including:
an obtaining unit 101, configured to obtain at least one coverage efficiency of each communication cell in at least one communication cell in a designated area after adjusting a downtilt angle of an antenna; wherein the coverage efficiency is determined by the communication cell under the interference of any one of the adjacent communication cells corresponding to the communication cell.
The processing unit 102 is configured to determine a center point coordinate of the cluster according to at least one cell distance of each communication cell and at least one coverage efficiency obtained by the obtaining unit 101; the cell distance is determined by longitude coordinates and latitude coordinates of the communication cell and longitude coordinates and latitude coordinates of any adjacent communication cell corresponding to the communication cell, and the cluster comprises any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster.
The processing unit 102 is further configured to determine a cluster to which each communication cell belongs according to the center point coordinate of each cluster after the antenna downtilt is adjusted when the center point coordinate of the cluster before the antenna downtilt is adjusted and the center point coordinate of the cluster after the antenna downtilt is adjusted do not meet a preset condition, and adjust the antenna downtilt of the communication cell in each cluster; the preset conditions comprise that the center point coordinate of each same clustering cluster before the antenna downward inclination angle is adjusted is the same as the center point coordinate of each same clustering cluster after the antenna downward inclination angle is adjusted.
The processing unit 102 is further configured to stop optimization of the at least one communication cell when it is determined that the center point coordinate of the cluster before the antenna downtilt is adjusted and the center point coordinate of the cluster after the antenna downtilt is adjusted meet a preset condition.
Optionally, the obtaining unit 101 is further configured to obtain a neighbor list, MR data, longitude coordinates, and latitude coordinates of the communication cell; the MR data comprises a first RSRP value of a current communication cell and a second RSRP value of each adjacent communication cell, wherein the first RSRP value of the current communication cell and the second RSRP value of each adjacent communication cell are reported by at least one user.
The processing unit 102 is further configured to determine at least one coverage efficiency of the communication cell according to the neighbor list and the MR data of the communication cell acquired by the acquiring unit 101.
The processing unit 102 is further configured to determine at least one cell distance of the communication cell according to the neighboring cell list, the longitude coordinate, and the latitude coordinate of the communication cell acquired by the acquiring unit 101.
Optionally, the processing unit 102 is specifically configured to determine at least one coverage efficiency of the communication cell according to the coverage efficiency calculation formula and the neighbor cell list and the MR data of the communication cell acquired by the acquiring unit 101; wherein, the coverage efficiency calculation formula comprises:
wherein, DCVijDenotes the coverage efficiency, C, of communication cell i under interference of adjacent communication cell jijmRepresenting the sampling coefficient, n representing the total number of users, n being an integer greater than or equal to 1, m ∈ [1, n]，RSRPimA first RSRP value, RSRP, representing a communication cell i reported by a user mjmA second RSRP value, D, representing the neighbor communication cell j reported by user mthRepresenting an RSRP threshold.
Optionally, the processing unit 102 is specifically configured to determine at least one cell distance of the communication cell according to the distance calculation formula and the neighboring cell list, the longitude coordinate, and the latitude coordinate of the communication cell acquired by the acquiring unit 101; wherein, the distance calculation formula includes:
wherein L isijRepresents the cell distance, Lat, of any adjacent communication cell j in the adjacent cell list corresponding to the communication cell and the communication cell i i1 is the latitude coordinate, Lat, of the communication cell ij2 is the latitude coordinate, Lon, of any one of the adjacent communication cells j i1 is the longitude coordinate, Lon, of the communication cell ijAnd 2 is the longitude coordinate of any adjacent communication cell j.
Optionally, the processing unit 102 is specifically configured to determine a center point coordinate of the cluster according to a center point calculation formula, at least one cell distance and at least one coverage efficiency of each communication cell acquired by the acquiring unit 101; wherein, the central point formula includes:
wherein, C1First center point coordinate, C, representing a normally covered cluster2Second center point coordinate, C, representing an over-covered cluster3Represents the third center point coordinate of the weak coverage cluster,
means for representing an average of at least one cell spacing of each of the at least one communication cell,
an average value representing at least one coverage efficiency of each of the at least one communication cell, P representing a liberalization efficiency coefficient, P > 0.
Optionally, the processing unit 102 is specifically configured to, when it is determined that the communication cell belongs to the normal coverage cluster, adjust an antenna downtilt angle of the communication cell according to a first formula.
The processing unit 102 is specifically configured to adjust an antenna downtilt angle of the communication cell according to a second formula when it is determined that the communication cell belongs to the excessive coverage cluster.
The processing unit 102 is specifically configured to adjust an antenna downtilt angle of the communication cell according to a third formula when it is determined that the communication cell belongs to the weak coverage cluster; wherein the first formula comprises:
θ(t+1)＝θt；
the second formula includes:
θ(t+1)＝θt(1+ε)；
the third formula includes:
θ(t+1)＝θt×ω；
wherein, thetatIndicating the current antenna downtilt angle, theta, of the communication cell(t+1)Denotes an antenna down tilt angle of the communication cell after adjustment, epsilon and omega denote adjustment coefficients, 1 ≧ epsilon ≧ 0, 1 ≧ omega ≧ 0, and epsilon + omega ═ 1.
All relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and the function thereof is not described herein again.
In the case of an integrated module, the server comprises: the device comprises a storage unit, a processing unit and an acquisition unit. A processing unit for performing control management on the actions of the server, for example, the processing unit is used for supporting the server to execute the processes S101, S102, S103 and S104 in fig. 2; the acquisition unit is used for supporting information interaction between the server and other equipment. And a storage unit for storing the program codes and data of the server.
For example, the processing unit is a processor, the storage unit is a memory, and the obtaining unit is a communication interface. The server shown in fig. 12 includes a communication interface 501, a processor 502, a memory 503, and a bus 504, and the communication interface 501 and the processor 502 are connected to the memory 503 through the bus 504.
The processor 502 may be a general-purpose Central Processing Unit (CPU), a microprocessor, an Application-Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to control the execution of programs in accordance with the teachings of the present disclosure.
The Memory 503 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
The memory 503 is used for storing application program codes for executing the scheme of the application, and the processor 502 controls the execution. The communication interface 501 is used for information interaction with other devices, such as a remote controller. The processor 502 is configured to execute application program code stored in the memory 503 to implement the methods described in the embodiments of the present application.
Further, a computing storage medium (or media) is also provided, comprising instructions which, when executed, perform the method operations performed by the server in the above embodiments. Additionally, a computer program product is also provided, comprising the above-described computing storage medium (or media).
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It can be understood that any one of the servers provided above is used to execute a corresponding method of the embodiments provided above, and therefore, the beneficial effects that can be achieved by the server can refer to the beneficial effects of the method of the first embodiment above and the corresponding scheme in the following detailed description, and are not described again here.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (12)
1. A method for optimizing mobile network coverage, comprising:
determining at least one coverage efficiency of the communication cell according to a coverage efficiency calculation formula, a neighbor cell list of the communication cell and MR data; wherein, the coverage efficiency calculation formula comprises:
wherein, DCVijDenotes the coverage efficiency, C, of communication cell i under interference of adjacent communication cell jijmRepresenting the sampling coefficient, n representing the total number of users, n being an integer greater than or equal to 1, m ∈ [1, n]，RSRPimA first RSRP value, RSRP, representing a communication cell i reported by a user mjmA second RSRP value, D, representing the neighbor communication cell j reported by user mthRepresenting an RSRP threshold;
determining the coordinates of the center points of the clustering clusters according to at least one cell interval and at least one coverage efficiency of each communication cell; wherein the cell distance is determined by longitude and latitude coordinates of the communication cell and longitude and latitude coordinates of any one of adjacent communication cells corresponding to the communication cell, and the cluster includes any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster;
determining a central point coordinate of a cluster before adjusting the downward inclination angle of the antenna and a central point coordinate of a cluster after adjusting the downward inclination angle of the antenna when the central point coordinate of each cluster does not meet a preset condition, determining a cluster to which each communication cell belongs according to the central point coordinate of each cluster after adjusting the downward inclination angle of the antenna, and adjusting the downward inclination angle of the antenna of the communication cell in each cluster; the preset conditions comprise that the center point coordinate of each same clustering cluster before the downward inclination angle of the antenna is adjusted is the same as the center point coordinate of each same clustering cluster after the downward inclination angle of the antenna is adjusted;
and when determining that the coordinates of the central point of the cluster before the downward inclination angle of the antenna and the coordinates of the central point of the cluster after the downward inclination angle of the antenna meet preset conditions, stopping optimizing the at least one communication cell.
2. The method of claim 1, wherein before obtaining at least one coverage efficiency of each of at least one communication cell in the designated area after adjusting the antenna downtilt angle, the method further comprises:
acquiring a neighbor list, MR data, longitude coordinates and latitude coordinates of each communication cell in at least one communication cell in the designated area; the MR data comprises a first RSRP value of a current communication cell and a second RSRP value of each adjacent communication cell, wherein the first RSRP value of the current communication cell and the second RSRP value of each adjacent communication cell are reported by at least one user;
determining at least one coverage efficiency of the communication cell according to the neighbor cell list and the MR data of the communication cell;
and determining at least one cell distance of the communication cell according to the neighbor cell list, the longitude coordinate and the latitude coordinate of the communication cell.
3. The method of claim 2, wherein the determining at least one cell-to-cell distance of the communication cell according to the neighbor list, the longitude coordinate, and the latitude coordinate of the communication cell comprises:
determining at least one cell distance of the communication cell according to a distance calculation formula and a neighbor cell list, longitude coordinates and latitude coordinates of the communication cell; wherein the distance calculation formula includes:
wherein L isijRepresents the cell distance, Lat, of any adjacent communication cell j in the adjacent cell list corresponding to the communication cell and the communication cell ii1 is the latitude coordinate, Lat, of the communication cell ij2 is the latitude coordinate, Lon, of any one of the adjacent communication cells ji1 is the longitude coordinate, Lon, of the communication cell iiAnd 2 is the longitude coordinate of any adjacent communication cell j.
4. The method of claim 1, wherein the determining the center point coordinate of each cluster according to at least one cell distance and at least one coverage efficiency of each communication cell comprises:
determining the coordinates of the central points of the clustering clusters according to a central point calculation formula, at least one cell interval and at least one coverage efficiency of each communication cell; wherein the central point calculation formula includes:
wherein, C1First center point coordinate, C, representing a normally covered cluster2Indicating clusters covered excessivelySecond center point coordinate, C3Represents the third center point coordinate of the weak coverage cluster,
means for representing an average of at least one cell spacing of each of the at least one communication cell,
an average value representing at least one coverage efficiency of each of the at least one communication cell, P representing a liberalization efficiency coefficient, P > 0.
5. The method of claim 1, wherein the adjusting the antenna downtilt angle of the communication cells in each cluster comprises:
when determining that the communication cell belongs to the normal coverage cluster, adjusting the downward inclination angle of the antenna of the communication cell according to a first formula;
when determining that the communication cell belongs to the excessive coverage cluster, adjusting the downward inclination angle of the antenna of the communication cell according to a second formula;
when determining that the communication cell belongs to the weak coverage cluster, adjusting the downward inclination angle of the antenna of the communication cell according to a third formula; wherein the first formula comprises:
θ(t+1)＝θt；
the second formula includes:
θ(t+1)＝θt(1+ε)；
the third formula includes:
θ(t+1)＝θt×ω；
wherein, thetatIndicating the current antenna downtilt angle, theta, of the communication cell(t+1)Denotes an antenna down tilt angle of the communication cell after adjustment, epsilon and omega denote adjustment coefficients, 1 ≧ epsilon ≧ 0, 1 ≧ omega ≧ 0, and epsilon + omega ═ 1.
6. A server, comprising:
the acquisition unit is used for acquiring a neighbor cell list and MR data of the communication cell;
a processing unit, configured to determine at least one coverage efficiency of the communication cell according to a coverage efficiency calculation formula and a neighbor list and MR data of the communication cell; wherein, the coverage efficiency calculation formula comprises:
wherein, DCVijDenotes the coverage efficiency, C, of communication cell i under interference of adjacent communication cell jijmRepresenting the sampling coefficient, n representing the total number of users, n being an integer greater than or equal to 1, m ∈ [1, n]，RSRPimA first RSRP value, RSRP, representing a communication cell i reported by a user mjmA second RSRP value, D, representing the neighbor communication cell j reported by user mthRepresenting an RSRP threshold;
the processing unit is configured to determine a center point coordinate of a cluster according to at least one cell distance of each communication cell and the at least one coverage efficiency obtained by the obtaining unit; wherein the cell distance is determined by longitude and latitude coordinates of the communication cell and longitude and latitude coordinates of any one of adjacent communication cells corresponding to the communication cell, and the cluster includes any one of a normal coverage cluster, an excessive coverage cluster and a weak coverage cluster;
the processing unit is further configured to determine a cluster to which each communication cell belongs according to the center point coordinate of each cluster after the antenna downtilt is adjusted when the center point coordinate of the cluster before the antenna downtilt is adjusted and the center point coordinate of the cluster after the antenna downtilt is adjusted do not meet preset conditions, and adjust the antenna downtilt of the communication cell in each cluster; the preset conditions comprise that the center point coordinate of each same clustering cluster before the downward inclination angle of the antenna is adjusted is the same as the center point coordinate of each same clustering cluster after the downward inclination angle of the antenna is adjusted;
and the processing unit is further used for stopping the optimization of the at least one communication cell when the coordinates of the central point of the cluster before the downward inclination angle of the antenna is adjusted and the coordinates of the central point of the cluster after the downward inclination angle of the antenna is adjusted meet preset conditions.
7. The server according to claim 6, wherein the obtaining unit is further configured to obtain a neighbor list, MR data, longitude coordinates, and latitude coordinates of each of at least one communication cell in a specified area; the MR data comprises a first RSRP value of a current communication cell and a second RSRP value of each adjacent communication cell, wherein the first RSRP value of the current communication cell and the second RSRP value of each adjacent communication cell are reported by at least one user;
the processing unit is further configured to determine at least one coverage efficiency of the communication cell according to the neighbor cell list and the MR data of the communication cell acquired by the acquiring unit;
the processing unit is further configured to determine at least one cell distance of the communication cell according to the neighbor cell list, the longitude coordinate, and the latitude coordinate of the communication cell acquired by the acquiring unit.
8. The server according to claim 7, wherein the processing unit is specifically configured to determine at least one inter-cell distance of the communication cell according to a distance calculation formula and the neighbor list, the longitude coordinate, and the latitude coordinate of the communication cell acquired by the acquiring unit; wherein the distance calculation formula includes:
wherein L isijRepresents the cell distance, Lat, of any adjacent communication cell j in the adjacent cell list corresponding to the communication cell and the communication cell ii1 isLatitude coordinate, Lat, of communication cell ij2 is the latitude coordinate, Lon, of any one of the adjacent communication cells ji1 is the longitude coordinate, Lon, of the communication cell iiAnd 2 is the longitude coordinate of any adjacent communication cell j.
9. The server according to claim 6, wherein the processing unit is specifically configured to determine a center point coordinate of a cluster according to a center point calculation formula, at least one cell distance and at least one coverage efficiency of each communication cell acquired by the acquiring unit; wherein the central point calculation formula includes:
wherein, C1First center point coordinate, C, representing a normally covered cluster2Second center point coordinate, C, representing an over-covered cluster3Represents the third center point coordinate of the weak coverage cluster,
means for representing an average of at least one cell spacing of each of the at least one communication cell,
an average value representing at least one coverage efficiency of each of the at least one communication cell, P representing a liberalization efficiency coefficient, P > 0.
10. The server according to claim 6, wherein the processing unit is specifically configured to, when it is determined that a communication cell belongs to the normal coverage cluster, adjust an antenna downtilt angle of the communication cell according to a first formula;
the processing unit is specifically configured to adjust an antenna downtilt angle of a communication cell according to a second formula when it is determined that the communication cell belongs to the excessive coverage cluster;
the processing unit is specifically configured to adjust an antenna downtilt angle of a communication cell according to a third formula when it is determined that the communication cell belongs to the weak coverage cluster; wherein the first formula comprises:
θ(t+1)＝θt；
the second formula includes:
θ(t+1)＝θt(1+ε)；
the third formula includes:
θ(t+1)＝θt×ω；
wherein, thetatIndicating the current antenna downtilt angle, theta, of the communication cell(t+1)Denotes an antenna down tilt angle of the communication cell after adjustment, epsilon and omega denote adjustment coefficients, 1 ≧ epsilon ≧ 0, 1 ≧ omega ≧ 0, and epsilon + omega ═ 1.
11. A computer storage medium comprising instructions which, when run on a computer, cause the computer to perform a method of optimizing mobile network coverage as claimed in any one of claims 1 to 5.
12. A server, comprising: communication interface, processor, memory, bus; the memory is used for storing computer-executable instructions, the processor is connected with the memory through the bus, and when the server runs, the processor executes the computer-executable instructions stored in the memory so as to enable the server to execute the optimization method of the mobile network coverage as set forth in any one of the claims 1 to 5.
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| CN111885632B (en) * | 2020-06-30 | 2023-05-12 | 陈捷 | Network coverage detection method and network coverage detection device |
| CN114286372B (en) * | 2021-12-07 | 2023-05-16 | 中国联合网络通信集团有限公司 | Antenna downtilt angle evaluation method, device and computer readable storage medium |
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