CN110475252B - Indoor sub-cell MR weak coverage optimization method and device based on user behavior judgment - Google Patents
Indoor sub-cell MR weak coverage optimization method and device based on user behavior judgment Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for optimizing MR (magnetic resonance) weak coverage of an indoor sub-cell based on user behavior judgment, which can solve the problem of MR weak coverage of the indoor sub-cell caused by outdoor leakage. The method comprises the following steps: s1, judging users leaking from the indoor cells in the planning area based on the user behaviors; s2, determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution sub-cell leakage user; s3, determining an indoor sub-cell MR weak coverage promotion scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage promotion scheme.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to a method and a device for optimizing weak coverage of an MR (magnetic resonance) of a room-divided cell based on user behavior judgment.
Background
The target indoor sub-cell weak coverage evaluation mainly comprises the steps of analyzing which indoor sub-cells have weak coverage through indoor sub-cell MR (Measurement Report) data, then evaluating a building where the indoor sub-cells are located, and carrying out indoor sub-cell MR weak coverage evaluation optimization through the means of indoor sub-system investigation, indoor sub-cell antenna point position compensation, power and soft parameter verification, power parameter optimization and the like; however, the problem of weak coverage of the indoor sub-cell MR due to signal leakage of the indoor sub-cell cannot be effectively evaluated, and the coverage quality of all indoor sub-cells cannot be improved only by optimizing the coverage of the indoor environment covered by the indoor sub-cell in the prior art.
In view of this, how to provide an optimization method to solve the problem of weak coverage of the indoor sub-cell MR caused by outdoor leakage is a technical problem to be solved urgently.
Disclosure of Invention
Aiming at the defects and shortcomings in the prior art, the embodiment of the invention provides a method and a device for optimizing the MR weak coverage of a room sub-cell based on user behavior judgment.
On one hand, an embodiment of the present invention provides a method for optimizing weak coverage of an MR in a cell based on user behavior determination, including:
s1, judging users leaking from the indoor sub-cells in the planning area based on the user behaviors;
the S1, including:
acquiring the total signaling data and MR data of a preset time period, and positioning each piece of MR data to one of a plurality of grids obtained by carrying out grid division on the three-dimensional space of the planning region in advance;
backfilling user information in the signaling data of the positioned MR data;
determining dynamic users according to the backfilled MR data, and determining leakage users of the indoor sub-cells from the dynamic users;
s2, determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution sub-cell leakage user;
s3, determining an indoor sub-cell MR weak coverage promotion scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage promotion scheme.
On the other hand, an embodiment of the present invention provides a device for optimizing weak coverage of an MR in a cell based on user behavior determination, including:
a determination unit configured to determine that a room cell within the planned area reveals a user based on a user behavior;
the determination unit is specifically configured to:
acquiring the total signaling data and MR data of a preset time period, and positioning each piece of MR data to one of a plurality of grids obtained by carrying out grid division on the three-dimensional space of the planning region in advance;
backfilling user information in the signaling data of the positioned MR data;
determining dynamic users according to the backfilled MR data, and determining leakage users of the indoor sub-cells from the dynamic users;
the first determining unit is used for determining the MR weak coverage indoor sub-cell caused by indoor sub-cell leakage according to the indoor sub-cell leakage user;
and a second determining unit, configured to determine an indoor sub-cell MR weak coverage improving scheme according to the MR weak coverage indoor sub-cell, and perform MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage improving scheme.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method described above.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above method.
According to the method and the device for optimizing the MR weak coverage of the indoor sub-cell based on user behavior judgment, users are leaked from the indoor sub-cell in the planning region based on the user behavior judgment; determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution cell leakage user; and determining an indoor sub-cell MR weak coverage lifting scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage lifting scheme.
Drawings
Fig. 1 is a schematic flowchart of an embodiment of a weak coverage optimization method for an indoor sub-cell MR based on user behavior determination according to the present invention;
fig. 2 is a schematic structural diagram of an embodiment of the apparatus for optimizing weak coverage of MR in indoor sub-cells based on user behavior determination according to the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative effort belong to the protection scope of the embodiments of the present invention.
Referring to fig. 1, the embodiment discloses a method for optimizing weak coverage of a room sub-cell MR based on user behavior determination, including:
s1, judging users leaking from the indoor cells in the planning area based on the user behaviors;
the S1, including:
acquiring full signaling data and MR data of a preset time period, and positioning each piece of MR data to one of a plurality of grids obtained by carrying out grid division on a three-dimensional space of the planning region in advance;
backfilling user information in the signaling data of the positioned MR data;
determining dynamic users according to the backfilled MR data, and determining leakage users of the indoor sub-cells from the dynamic users;
s2, determining the MR weak coverage indoor sub-cell caused by the indoor sub-cell leakage according to the indoor sub-cell leakage user;
s3, determining an indoor sub-cell MR weak coverage promotion scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage promotion scheme.
In this embodiment, since the MR data cannot be subjected to single-user continuous behavior analysis, and single-user differentiation needs to be performed by using signaling data S1-MME (Mobility Management Entity, Mobility Management node function), the data needs to be prepared as follows: a full amount of S1-MME XDR ((X Data Recording is a concept Evolved from CDR (Call Data Recording)) Data, MR Data, and electronic map Data for a preset period of time, where S1 is a communication interface between an LTE (Long Term Evolution) eNodeB (base station) and an EPC (Evolved Packet Core).
When it is determined that a user is leaked from a room cell in a planned area, MR data positioning is first required, and The positioning method generally includes fingerprint database rasterization positioning, MR three-point positioning, OTT (Over The Top, which means providing various application services to a user through The internet) + MR positioning, and The like.
After the MR data is positioned, the user information in the signaling data needs to be refilled into the positioned MR data, and specifically, because the MR data and the S1-MME data have MME-UE-S1AP-ID and time (operating time) common fields, the user information refilling of the MR data can be realized by performing time fuzzy matching on the MR data and the signaling data.
After the user information is refilled into the MR data, the dynamic user needs to be determined according to the refilled MR data. After determining the dynamic users, the cell leakage users may be determined from the dynamic users.
According to the indoor sub-cell MR weak coverage optimization method based on user behavior judgment, users are leaked in indoor sub-cells in a planning region based on user behavior judgment; determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution cell leakage user; and determining an indoor sub-cell MR weak coverage lifting scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage lifting scheme.
On the basis of the embodiment of the method, the dynamic user is a user with a user movement distance in unit time greater than a first numerical value and a user movement average speed in unit time greater than a second numerical value, the room-divided cell leakage user is a dynamic user occupying a room-divided cell in operation, and the total time length of the room-divided cell occupied in unit time is less than a third numerical value.
In this embodiment, it should be noted that the dynamic user is a user whose user movement distance per unit time is greater than a first numerical value, and whose user movement average speed per unit time is greater than a second numerical value. Wherein the user movement distance S per unit timeIs calculated by the formula
Assuming a total of n sample points per unit time, (x)1,y1) For the user coordinate corresponding to the first sampling point, i.e. the coordinate of the first position point of the user in unit time, (x)n,yn) For the user coordinate corresponding to the last sampling point, i.e. the coordinate of the last position point of the user in unit time, (x)1,y1) And (x)n,yn) Are coordinates in the mercator coordinate system. The average speed V of the user movement in unit time is calculated by the formula
vi,i-1Is the average speed of the ith sampling point and the (i-1) th sampling point in the movement process of the user in unit time, i is an integer from 2 to n,
(xi,yi) Is the coordinate in the ink card tray coordinate system, is the user coordinate corresponding to the ith sampling point, TiIs the sampling moment corresponding to the ith sampling point.
When determining the user who leaks from the indoor sub-cell, specifically, for the dynamic user, it is necessary to determine the situation that the user occupies the indoor sub-cell during operation, and the situation is divided into two categories: occupied over-cell sub-cells and unoccupied over-cell sub-cells. And judging the occupation time of the indoor sub-cell of the user occupying the indoor sub-cell, screening out the user which occupies the indoor sub-cell of the dynamic user within the statistical time period (namely judging the time period selected by the motion user), wherein the user occupying the indoor sub-cell of which the total time length is less than the third numerical value is defined as an indoor leakage user.
In this embodiment, the MR-rasterized user behavior analysis room divulging users, and the data includes all behavior trajectories of the users, so that the judgment of the room divulging users is more accurate.
On the basis of the foregoing method embodiment, the positioning each piece of MR data to one of a plurality of grids obtained by pre-grid-dividing the three-dimensional space of the planning region may include:
performing grid division on the three-dimensional space of the planning region to obtain a plurality of grids with the same size;
calculating the signal intensity of a base station corresponding to each grid by using a 3D (3D) ray propagation model based on an electronic map with a preset size, digitizing the signal intensity to obtain characteristic vector values, and constructing a space grid characteristic fingerprint library consisting of all the obtained characteristic vector values;
for each piece of MR data, a target grid is determined from a grid set corresponding to a main service cell to which the MR data belongs by using a minimum Euclidean distance method, and the MR data is positioned to the target grid, wherein the minimum Euclidean distance method is used for measuring the distance based on the characteristic vector value of the grid.
In this embodiment, the size of the electronic map may be 5m, and the size of the grid may be 5m × 5m × 5 m. And determining the target grid as the grid with the minimum Euclidean distance from the grid of the reference point in all the grids to be selected by using the minimum Euclidean distance method. Wherein the calculation formula of the Euclidean distance is
MkAnd QkAnd respectively representing the kth item in the characteristic vector values corresponding to the current grid to be selected and the grid of the reference point.
On the basis of the foregoing method embodiment, the S2 may include:
calculating the weak coverage sampling point occupation ratio of the indoor sub-cell and the weak coverage sampling point occupation ratio of the leakage user of the indoor sub-cell;
screening out the weak coverage sampling point duty ratio of the corresponding room sub-cell which is greater than or equal to a fourth numerical value, and the weak coverage sampling point duty ratio of the room sub-cell leakage user is greater than or equal to the room sub-cell of a fifth numerical value, a sixth numerical value or a seventh numerical value, and determining the screened room sub-cell as the MR weak coverage room sub-cell caused by room sub-leakage, wherein the sixth numerical value is greater than the fifth numerical value, and the fifth numerical value is greater than the fourth numerical value.
In this embodiment, the weak coverage sampling point ratio W of the cellcellIs calculated by the formula
Weak coverage sampling point ratio W of leakage user in indoor sub-districtuserIs calculated by the formula
Wherein, NcellNumber of sampling points of compartment MR in unit time period, Ncell-lNumber of weak coverage samples, N, for the celluserRevealing the number of MR sampling points, N, of users in the sub-district of the roomuser-lAnd leaking the weak coverage sampling point number of the user for the indoor sub-cell. In addition, the fourth numerical value, the fifth numerical value, the sixth numerical value, and the seventh numerical value may be set to 5%, 10%, 30%, and 50%, respectively, and these four numerical values may also be set to other values as needed, which is not described herein again.
On the basis of the foregoing method embodiment, the determining a room sub-cell MR weak coverage improving scheme according to the MR weak coverage room sub-cell may include:
if the proportion of weak coverage sampling points of room sub-cell leakage users corresponding to the MR weak coverage room sub-cell caused by the room sub-leakage is greater than or equal to the fifth numerical value and smaller than the sixth numerical value, the room sub-cell MR weak coverage promotion scheme is to optimize the room sub-cell power parameter so as to strengthen the room coverage and control the room sub-signal leakage; or
If the proportion of weak coverage sampling points of users leaked from the room sub-cells corresponding to the MR weak coverage room sub-cells caused by the room sub-leakage is greater than or equal to the sixth numerical value and smaller than the seventh numerical value, the MR weak coverage promotion scheme of the room sub-cells is to optimally migrate the room sub-antenna point positions of the leakage areas of the room sub-cells with serious part leakage to other parts; or alternatively
If the proportion of weak coverage sampling points of room sub-cell leakage users corresponding to the MR weak coverage room sub-cell caused by room leakage is greater than or equal to the seventh numerical value, when the leading-out antenna of the MR weak coverage room sub-cell covers a road, the MR weak coverage lifting scheme of the room sub-cell is to adjust the direction angle and the downward inclination angle of the leading-out antenna so that the leading-out antenna does not cover the road, or when the leading-out antenna of the MR weak coverage room sub-cell does not cover the road, the MR weak coverage lifting scheme of the room sub-cell is to optimize the antenna point location of the MR weak coverage room sub-cell, or optimize the switching parameters of the indoor cell and the outdoor cell and optimize the adjacent cell.
Referring to fig. 2, the present embodiment discloses a weak coverage optimization apparatus for a room-divided cell MR based on user behavior determination, including:
a determination unit 1 for determining that a room cell in a planned area leaks a user based on a user behavior;
the determination unit 1 is specifically configured to:
acquiring the total signaling data and MR data of a preset time period, and positioning each piece of MR data to one of a plurality of grids obtained by carrying out grid division on the three-dimensional space of the planning region in advance;
backfilling user information in the signaling data of the positioned MR data;
determining dynamic users according to the backfilled MR data, and determining leakage users of the indoor sub-cells from the dynamic users;
a first determining unit 2, configured to determine, according to the indoor sub-cell leakage user, an MR weak coverage indoor sub-cell caused by indoor sub-leakage;
a second determining unit 3, configured to determine an indoor sub-cell MR weak coverage improving scheme according to the MR weak coverage indoor sub-cell, and perform MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage improving scheme.
Specifically, the determination unit 1 determines that a room cell in a planned area leaks a user based on user behavior; the first determining unit 2 determines an MR weak coverage indoor sub-cell caused by indoor sub-cell leakage according to the indoor sub-cell leakage user; the second determining unit 3 determines an indoor sub-cell MR weak coverage improving scheme according to the MR weak coverage indoor sub-cell, and performs MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage improving scheme.
According to the indoor sub-cell MR weak coverage optimization device based on user behavior judgment, a judgment unit is used for judging users leaking in indoor sub-cells in a planned area based on user behavior; determining an MR weak coverage indoor sub-cell caused by indoor sub-leakage according to the indoor sub-cell leakage user by using a first determination unit; and determining an indoor sub-cell MR weak coverage lifting scheme according to the MR weak coverage indoor sub-cell by using a second determining unit, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage lifting scheme.
On the basis of the embodiment of the device, the dynamic user is a user with a user movement distance per unit time larger than a first numerical value and a user movement average speed per unit time larger than a second numerical value, the room sub-cell leakage user is a dynamic user occupying a room sub-cell during operation, and the total time length of the room sub-cell occupied per unit time is smaller than a third numerical value.
On the basis of the foregoing device embodiment, the first determining unit may be specifically configured to:
calculating the weak coverage sampling point occupation ratio of the indoor sub-cell and the weak coverage sampling point occupation ratio of the leakage user of the indoor sub-cell;
screening out the room sub-cells with the weak coverage sampling point occupation ratio of the corresponding room sub-cells being greater than or equal to a fourth numerical value, and the room sub-cells with the weak coverage sampling point occupation ratio of the room sub-cell leakage users being greater than or equal to a fifth numerical value, a sixth numerical value or a seventh numerical value, and determining the screened room sub-cells as the MR weak coverage room sub-cells caused by room sub-cell leakage, wherein the sixth numerical value is greater than the fifth numerical value, and the fifth numerical value is greater than the fourth numerical value.
The apparatus for optimizing weak coverage of MR in a room sub-cell based on user behavior determination of this embodiment may be used to implement the technical solutions of the foregoing method embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
The invention has the following beneficial effects: the cell coverage evaluation optimization of the indoor sub-cells is realized through an algorithm, the workload and the difficulty of manual problem elimination can be reduced, and the economic benefit is high.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor 11, a memory 12, a bus 13, and a computer program stored on the memory 12 and executable on the processor 11;
the processor 11 and the memory 12 complete mutual communication through the bus 13;
when the processor 11 executes the computer program, the method provided by the foregoing method embodiments is implemented, for example, including: determining that a room cell in the planned area reveals users based on user behavior; determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution cell leakage user; and determining an indoor sub-cell MR weak coverage promotion scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage promotion scheme.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided by the foregoing method embodiments, and for example, the method includes: determining that a room cell in the planned area reveals users based on user behavior; determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution cell leakage user; and determining an indoor sub-cell MR weak coverage promotion scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage promotion scheme.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: rather, the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (8)
1. A room sub-cell MR weak coverage optimization method based on user behavior judgment is characterized by comprising the following steps:
s1, judging users leaking from the indoor sub-cells in the planning area based on the user behaviors;
the S1, including:
acquiring the total signaling data and MR data of a preset time period, and positioning each piece of MR data to one of a plurality of grids obtained by carrying out grid division on the three-dimensional space of the planning region in advance;
backfilling user information in the signaling data of the positioned MR data;
determining dynamic users according to the backfilled MR data, and determining leakage users of the indoor sub-cells from the dynamic users;
s2, determining an MR weak coverage indoor sub-cell caused by indoor distribution leakage according to the indoor distribution sub-cell leakage user;
s3, determining an indoor sub-cell MR weak coverage lifting scheme according to the MR weak coverage indoor sub-cell, and performing MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage lifting scheme;
the S2, including:
calculating the weak coverage sampling point proportion of the indoor sub-cell and the weak coverage sampling point proportion of the leakage user of the indoor sub-cell;
screening out the room sub-cells with the weak coverage sampling point occupation ratio of the corresponding room sub-cells being greater than or equal to a fourth numerical value, and the room sub-cells with the weak coverage sampling point occupation ratio of the room sub-cell leakage users being greater than or equal to a fifth numerical value, a sixth numerical value or a seventh numerical value, and determining the screened room sub-cells as the MR weak coverage room sub-cells caused by room sub-cell leakage, wherein the sixth numerical value is greater than the fifth numerical value, and the fifth numerical value is greater than the fourth numerical value.
2. The method of claim 1, wherein the dynamic user is a user with a user moving distance per unit time greater than a first value and a user moving average speed per unit time greater than a second value, the cell-revealed user is a dynamic user that occupies a passing cell during operation and occupies a cell in a total time period less than a third value.
3. The method of claim 2, wherein the positioning each piece of MR data to one of a plurality of grids previously gridded in the three-dimensional space of the planning region comprises:
performing grid division on the three-dimensional space of the planning region to obtain a plurality of grids with the same size;
based on an electronic map with a preset size, calculating the signal intensity of a base station corresponding to each grid by using a 3D ray propagation model, digitizing the signal intensity to obtain characteristic vector values, and constructing a spatial grid characteristic fingerprint database consisting of all the obtained characteristic vector values;
for each piece of MR data, a target grid is determined from a grid set corresponding to a main service cell to which the MR data belongs by using a minimum Euclidean distance method, and the MR data is positioned to the target grid, wherein the minimum Euclidean distance method is used for measuring the distance based on the characteristic vector value of the grid.
4. The method according to claim 1, wherein the determining a room sub-cell MR weak coverage boosting scheme according to the MR weak coverage room sub-cell comprises:
if the proportion of weak coverage sampling points of room sub-cell leakage users corresponding to the MR weak coverage room sub-cell caused by the room sub-leakage is greater than or equal to the fifth numerical value and smaller than the sixth numerical value, the room sub-cell MR weak coverage promotion scheme is to optimize the room sub-cell power parameter so as to strengthen the room coverage and control the room sub-signal leakage; or
If the proportion of weak coverage sampling points of users leaked from the room sub-cells corresponding to the MR weak coverage room sub-cells caused by the room sub-leakage is greater than or equal to the sixth numerical value and smaller than the seventh numerical value, the MR weak coverage promotion scheme of the room sub-cells is to optimally migrate the room sub-antenna point positions of the leakage areas of the room sub-cells with serious part leakage to other parts; or
If the proportion of weak coverage sampling points of room sub-cell leakage users corresponding to the MR weak coverage room sub-cell caused by room leakage is greater than or equal to the seventh numerical value, when the leading-out antenna of the MR weak coverage room sub-cell covers a road, the MR weak coverage lifting scheme of the room sub-cell is to adjust the direction angle and the downward inclination angle of the leading-out antenna so that the leading-out antenna does not cover the road, or when the leading-out antenna of the MR weak coverage room sub-cell does not cover the road, the MR weak coverage lifting scheme of the room sub-cell is to optimize the antenna point location of the MR weak coverage room sub-cell, or optimize the switching parameters of the indoor cell and the outdoor cell and optimize the adjacent cell.
5. An indoor cell division MR weak coverage optimization device based on user behavior judgment is characterized by comprising:
a determination unit configured to determine that a room cell within the planned area reveals a user based on a user behavior;
the determination unit is specifically configured to:
acquiring the total signaling data and MR data of a preset time period, and positioning each piece of MR data to one of a plurality of grids obtained by carrying out grid division on the three-dimensional space of the planning region in advance;
backfilling user information in the signaling data of the positioned MR data;
determining dynamic users according to the backfilled MR data, and determining leakage users of the indoor sub-cells from the dynamic users;
the first determining unit is used for determining the MR weak coverage indoor sub-cell caused by indoor sub-cell leakage according to the indoor sub-cell leakage user;
a second determining unit, configured to determine an indoor sub-cell MR weak coverage lifting scheme according to the MR weak coverage indoor sub-cell, and perform MR weak coverage optimization on the MR weak coverage indoor sub-cell by using the indoor sub-cell MR weak coverage lifting scheme;
the first determining unit is specifically configured to:
calculating the weak coverage sampling point occupation ratio of the indoor sub-cell and the weak coverage sampling point occupation ratio of the leakage user of the indoor sub-cell;
screening out the room sub-cells with the weak coverage sampling point occupation ratio of the corresponding room sub-cells being greater than or equal to a fourth numerical value, and the room sub-cells with the weak coverage sampling point occupation ratio of the room sub-cell leakage users being greater than or equal to a fifth numerical value, a sixth numerical value or a seventh numerical value, and determining the screened room sub-cells as the MR weak coverage room sub-cells caused by room sub-cell leakage, wherein the sixth numerical value is greater than the fifth numerical value, and the fifth numerical value is greater than the fourth numerical value.
6. The apparatus of claim 5, wherein the dynamic user is a user having a user movement distance per unit time greater than a first value and a user movement average speed per unit time greater than a second value, the cell-revealed user is a dynamic user occupying a cell that passes through the cell during operation, and the total duration of the cell occupied per unit time is less than a third value.
7. An electronic device, comprising: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method of any of claims 1-4.
8. A non-transitory computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any one of claims 1-4.
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| CN106804042A (en) * | 2016-12-23 | 2017-06-06 | 普天信息工程设计服务有限公司 | The clustering method in weak covering problem region and Bus stop planning method |
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| CN106921980A (en) * | 2015-12-25 | 2017-07-04 | 北京亿阳信通科技有限公司 | A kind of LTE in-door coverings leakage determines method and apparatus |
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