CN110719594B - Equipment type selection method and device - Google Patents
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Abstract
The embodiment of the invention provides a device type selection method and device, relates to the technical field of communication, and solves the problem of selecting proper AAU (analog to digital) devices according to the user requirements of a planned base station area. Acquiring historical CQI and a scene map in a designated area; determining SINR according to the first mapping relation and the historical CQI; clustering SINR, and determining a central value of each category under the second mobile communication technology; determining an SINR interval according to the central value, matching the SINR interval with the equipment type, and determining the corresponding relation between the SINR interval and the equipment type; simulating a scene map to determine a cumulative distribution function of the SINR; determining a first target SINR according to the cumulative distribution function; determining a second target SINR according to the second mapping relation and the first target SINR; and determining the type of the equipment deployed in the designated area according to the second target SINR and the corresponding relation.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a device type selection method and apparatus.
Background
The fifth generation mobile communication technology (english full name: 5th-generation, abbreviated: 5G) is used as a new next generation communication system, and breaks through comprehensively from the device level, firstly, the number of antenna elements is increased from 32 of long term evolution (english full name: long term evolution, abbreviated: LTE) to 128 and 192 of new air ports (english full name: new radio, abbreviated: NR), secondly, as shown in fig. 1, the number of transmitting and receiving channels of a radio remote unit (english full name: active Antenna Unit, abbreviated: AAU) device is also increased from 2 transmitting (english full name: transmit, abbreviated: T) 2 receiving (english full name: R) of LTE to 8T8R, 16T16R, 32T32R, 64T64R, and further, the antenna is tightly coupled with the RRU device, so that the feeder loss between a large number of elements and the radio remote unit (english full name: radio Remote Unit, abbreviated: RRU) device is reduced, and the antenna gain of the device is improved.
The 5G multiple channel technology can cover multiple scenes, the 8TR and 16TR devices can cover one vertical dimension, the 32TR device can cover 2 vertical dimensions, the 64TR device can cover 4 vertical dimensions, and the application range is wider.
From the above, it can be seen that, since the AAU in 5G has multiple device types, how to select a suitable AAU device according to the user requirements of the base station area to be built becomes a problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a device type selection method and device, which solve the problem of selecting proper AAU devices according to the user requirements of a planned base station area.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a device type selection method, including obtaining a historical CQI of a target area under a first mobile communication technology and a scene map in a designated area; determining the SINR under the second mobile communication technology according to the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI; clustering SINR under the second mobile communication technology, and determining the central value of each category under the second mobile communication technology; according to the central value, determining an SINR interval under the second mobile communication technology, matching the SINR interval with the equipment type, and determining the corresponding relation between the SINR interval and the equipment type; simulating a scene map to determine an accumulated distribution function of SINR of a designated area under a first mobile communication technology; determining a first target SINR of a designated area under a first mobile communication technology according to the cumulative distribution function; determining a second target SINR of the designated area under the second mobile communication technology according to a second mapping relation between SINR under the first mobile communication technology and SINR under the second mobile communication technology and the first target SINR; determining the type of equipment deployed in the designated area according to the second target SINR and the corresponding relation; wherein the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology.
As can be seen from the above solution, when the first mobile communication technology is 4G and the second mobile communication technology is 5G, and the device type includes 16TR device, 32TR device, and 64TR device, and the designated area is a base station area to be built, the device type selection method provided by the embodiment of the present invention can determine the SINR of 5G and the corresponding relationship between the SINR interval of 5G and the device type based on the historical CQI and the first mapping relationship of the target area in 4G; simulating a scene map of the base station building area, so that the user requirements in the base station building area can be determined; meanwhile, according to the accumulated distribution function of the SINR of the 4G, which is determined by simulating the scene map of the planned base station area, the first target SINR of the planned base station area in the 4G can be determined, and then according to the first target SINR of the 4G and the second mapping relation, the second target SINR of the planned base station area in the 5G can be determined, so that the type of equipment deployed in the planned base station area is determined according to the second target SINR and the corresponding relation, a user can predict the type of 5G equipment required to be deployed in the planned base station area according to the historical CQI of the 4G, and the problem of how to select proper AAU equipment according to the user requirement of the planned base station area is solved.
In a second aspect, an embodiment of the present invention provides a device shape selecting apparatus, including: an acquisition unit, configured to acquire a historical CQI of a target area under a first mobile communication technology and a scene map in a specified area; the processing unit is used for determining the SINR under the second mobile communication technology according to the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI acquired by the acquisition unit; the processing unit is also used for clustering SINR under the second mobile communication technology and determining the central value of each category under the second mobile communication technology; the processing unit is also used for determining an SINR interval under the second mobile communication technology according to the central value, matching the SINR interval with the equipment type and determining the corresponding relation between the SINR interval and the equipment type; the processing unit is also used for simulating the scene map acquired by the acquisition unit and determining a cumulative distribution function of SINR of the designated area under the first mobile communication technology; the processing unit is further used for determining a first target SINR of the designated area under the first mobile communication technology according to the cumulative distribution function; the processing unit is further used for determining a second target SINR of the designated area under the second mobile communication technology according to the second mapping relation between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR; the processing unit is further used for determining the type of the equipment deployed in the designated area according to the second target SINR and the corresponding relation; wherein the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology.
In a third aspect, an embodiment of the present invention provides a device shape selecting apparatus, including: communication interface, processor, memory, bus; the memory is used for storing computer-executable instructions, and the processor is connected with the memory through a bus, and when the device model selecting device operates, the processor executes the computer-executable instructions stored in the memory, so that the device model selecting device executes the method provided in the first aspect.
In a fourth aspect, embodiments of the present invention provide 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 will be appreciated that any of the apparatus selecting devices provided above is used to perform the method corresponding to the first aspect provided above, and therefore, the advantages achieved by the apparatus selecting device may refer to the method of the first aspect and the advantages of the corresponding scheme in the following detailed description, which are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a diagram illustrating the distribution of the number of LTE antenna elements and several typical NR device elements in the prior art;
fig. 2 is a schematic diagram of a conventional Massive MIMO wireless coverage;
fig. 3 is a network architecture diagram of a device type selection method according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a device selection method according to an embodiment of the present invention;
FIG. 5 is a second flow chart of a device selection method according to an embodiment of the present invention;
fig. 6 is a graph of relation between SINR of 5G and CQI of 4G in a device type selection method according to an embodiment of the present invention;
FIG. 7 is a third flow chart of a device selection method according to an embodiment of the present invention;
FIG. 8 is a correspondence between the number of categories and the average profile value of a device selection method according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of classification according to the requirement of classification into 3 according to a device type selection method according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of a profile obtained according to a class 3 requirement for a device selection method according to an embodiment of the present invention;
FIG. 11 is a flow chart of a device selection method according to an embodiment of the present invention;
FIG. 12 is a flow chart of a device selection method according to an embodiment of the present invention;
fig. 13 is a schematic diagram of a CDF curve of SINR of 4G obtained by simulating a scene map according to an embodiment of the present invention;
FIG. 14 is a flowchart of a device selection method according to an embodiment of the present invention;
FIG. 15 is a flow chart of a device selection method according to an embodiment of the present invention;
FIG. 16 is a schematic diagram of an apparatus for selecting a device according to an embodiment of the present invention;
FIG. 17 is a second schematic diagram of a device selection apparatus according to an embodiment of the present invention;
fig. 18 is a third schematic structural diagram of an apparatus for selecting a device according to an embodiment of the present invention.
Reference numerals:
a device model selecting device-10;
an acquisition unit-101; a processing unit-102.
Detailed Description
Embodiments of the present invention are described below with reference to the accompanying drawings.
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the terms "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect, and those skilled in the art will understand that the terms "first", "second", etc. are not limited in number and execution order.
In embodiments of the invention, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present invention, unless otherwise indicated, the meaning of "a plurality" means two or more. For example, a plurality of networks refers to two or more networks.
The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. The symbol "/" herein indicates that the associated object is or is a relationship, e.g., A/B indicates A or B.
Fig. 2 shows a network architecture diagram of a device selection method according to an embodiment of the present invention, including: a built base station area (representing a target area in the present invention), a planned base station area (representing a designated area in the present invention), and a device-type selection means; the device type selecting apparatus comprises an acquiring unit and a processing unit, wherein the acquiring unit needs to acquire a historical channel quality indication (English full name: channel Quality Indicator, short name: CQI) of a target area under a first mobile communication technology and a scene map in a designated area respectively; the processing unit is used for determining the SINR under the second mobile communication technology according to the first mapping relation between the signal to interference plus noise ratio (English full name: signal to interference plus noise ratio, abbreviated as SINR) under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI acquired by the acquisition unit; the processing unit is also used for clustering SINR under the second mobile communication technology and determining the central value of each category under the second mobile communication technology; the processing unit is also used for determining an SINR interval under the second mobile communication technology according to the central value, matching the SINR interval with the equipment type and determining the corresponding relation between the SINR interval and the equipment type; the processing unit is also used for simulating the scene map acquired by the acquisition unit and determining an accumulated distribution function (English full name: cumulative Distribution Function, abbreviated as CDF) of SINR under the first mobile communication technology; the processing unit is further used for determining a first target SINR under the first mobile communication technology according to the cumulative distribution function; the processing unit is further used for determining a second target SINR under the second mobile communication technology according to the second mapping relation between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR; and the processing unit is also used for determining the type of the equipment deployed in the designated area according to the second target SINR and the corresponding relation.
As shown in fig. 3, 5G is a brand new technology system, and uses Massive antenna technology Massive MIMO technology to change the mode of LTE wide beam coverage, but uses narrow beams to perform coverage, so that the device type of the wireless side device is greatly changed, where the greatest change is that the number of receiving channels of the AAU device is greatly changed, and the single 2TR device is changed into the device type with multiple channel numbers of 64TR, 32TR, 16TR, 8TR, and the like. However, how to select a suitable device type for the area where the 5G base station is to be built becomes a difficulty at present, which is an important problem for balancing the network deployment cost of operators; in order to solve the above problems, in the device type selection method provided by the embodiment of the present invention, a user may determine a corresponding relationship between an SINR interval of 5G and a device type by using a historical CQI of a target area in a fourth generation mobile communication technology (english full name: the 4th generation mobile communication technology, abbreviated as 4G); then, determining a second target SINR of the designated area under a second mobile communication technology by mapping a scene in the designated area; further, according to the corresponding relation and the second target SINR, the equipment type to be deployed in the scene of deploying the 5G base station is determined, and the problem of how to select proper AAU equipment according to the user requirements of the planned base station area is solved.
For example, taking the first mobile communication technology as 4G and the second mobile communication technology as 5G, the device types include 16TR device, 32TR device and 64TR device, and the specific area is a planned base station area for illustration, and the specific implementation process is as follows:
example 1
The embodiment of the invention provides a device type selection method, which comprises the following steps as shown in fig. 4:
s101, acquiring historical CQI of a target area under a first mobile communication technology and a scene map in a designated area.
In practical applications, the target area and the designated area have the following relationship:
1. the designated area belongs to (here, attribution is based on division of administrative division) a target area such as: the appointed area is a Changan area of the Sichuan city, and the target area is the Sichuan city; or the appointed area is a Changan area of the Sichuan city, and the target area is a Yanta area of the Sichuan city; alternatively, the designated area is the eastern chang 'an district Guo Du, and the target area is the eastern chang' an district.
When the target area and the designated area have the above relation, the actual requirement of the user in the designated area can be more accurately determined.
2. Designated area is not attributed to target area, such as: the appointed area is a Changan area of the western An city, and the target area is Beijing city; or the designated area is the western city, and the target area is the Beijing city.
When the target area and the designated area have the above relation, the actual demand of the user in the designated area can be estimated.
It should be noted that, in practical application, in order to more accurately determine the actual needs of the users in the designated area, MR data in all urban areas, suburban areas and open areas in the jurisdiction area (target area) to which the designated area belongs may be acquired in a preset time period (for example, the preset time period may be a whole day measurement report (english full name: measurement report, abbreviated as MR data) of a weekday-holiday in the near week). Since the coverage, capacity and SINR (CQI) of the base station are related, we choose 4G MR data as decision parameters. The method comprises the following steps:
the following table is header information on CQI of 4G in MR:
MR data in the 4G current network within a preset time period (such as 3 months) is selected, and the distribution condition of CQI (i.e. historical CQI) is determined. The header information of the CQI in the MR data is shown in table 1.
TABLE 1
The average occurrence value of each CQI on weekdays and holidays is calculated by table 1:
wherein i represents the total number of times of reporting full bandwidth CQI by an air interface, i is E [0, 15 ]，CQI w CQI indicating working day, CQI e CQI indicating holiday.
S102, determining the SINR under the second mobile communication technology according to the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI.
Optionally, determining the SINR under the second mobile communication technology according to the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI, as shown in fig. 5 includes:
s1020, determining the SINR under the second mobile communication technology according to the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI; the first mapping relation comprises the following steps:
SINR＝1.9346×CQI-6.799；
wherein, SINR represents SINR under the second mobile communication technology, and CQI represents CQI under the first mobile communication technology.
In practical application, when the mapping relation between the CQI under the first mobile communication technology and the SINR under the second mobile communication technology is obtained, the relation between the CQI and the 4G may be obtained by comparing the relation between the CQI and the SINR of the 4G; further combining the relation between 4G and CQI, the corresponding relation between 4G CQI and 5G SINR is determined, as shown in the following FIG. 6, and the linear relation is basically satisfied, and the following formula can be used for estimation:
SINR＝1.9346×CQI-6.799。
S103, clustering SINR under the second mobile communication technology, and determining the center value of each category under the second mobile communication technology.
Optionally, clustering SINR under the second mobile communication technology, determining a center value of each category under the second mobile communication technology, where fig. 7 includes:
s1030, clustering SINR under the second mobile communication technology according to a K-means clustering algorithm (English full name: K-means clustering algorithm, abbreviated as K-means), and determining the central value of each category under the second mobile communication technology.
In practical applications, the k-means algorithm is a typical distance-based clustering algorithm, and uses distance as an evaluation index of similarity, that is, the closer the distance between two objects is, the greater the similarity is. The algorithm considers clusters to be made up of objects that are close together, thus targeting a compact and independent cluster as the final target. The distance formula used is as follows:
where V represents the distance of SINR of 5G from the center value (also called centroid) of the specified class, x j SINR, μ representing the jth 5G i Representing the center value of the i-th category.
The specific implementation process is as follows:
1. and randomly selecting K SINR of 5G from N SINR of 5G (comprising determining SINR of the second mobile communication technology according to the first mapping relation between SINR of the second mobile communication technology and CQI of the first mobile communication technology and historical CQI) as a central value.
2. The distance V to each center value is measured for each remaining SINR of 5G (including determining SINR under the second mobile communication technology based on the first mapping relationship of SINR under the second mobile communication technology and CQI under the first mobile communication technology and the historical CQI) and is classified as the nearest center value.
3. The center values of the respective categories that have been obtained are recalculated.
4. And iterating for 2-3 steps until the new central value is equal to or smaller than the original central value, and ending the algorithm.
The process implemented with programming is as follows:
input: k, data [ n ];
(1) Selecting k initial center values, e.g., c [0] =data [0], … c [ k-1] =data [ k-1];
(2) For data [0] … data [ n ], comparing with c [0] … c [ k-1], respectively, assuming the least difference with c [ i ], it is marked as i;
(3) For all points marked i, recalculate c [ i ] = { sum of all data [ j ] marked i }/number marked i;
(4) Repeating (2) (3) until all of the c [ i ] values vary by less than a given threshold.
In practical application, when the SINR under the second mobile communication technology is clustered through k-means, the more and better the central value (each central value corresponds to one category) is selected, as shown in fig. 8 (the abscissa is the category number, and the ordinate is the average contour value), the clustering result obtained when the selected central value is 2 is optimal, the clustering result obtained when the selected central value is 3 is slightly worse, and the clustering result obtained when the selected central value is 4 is slightly worse; however, according to the cost of equipment and the requirement of 5G Massvie MIMO multi-antenna multi-channel gain, clustering results are required to be classified into 3-4 types; therefore, when the SINR under the second mobile communication technology is clustered through k-means according to the requirement of the optimal cost performance, 3-4 central values are selected so as to obtain 3-4 categories; exemplary, a specific implementation procedure for clustering SINR under the second mobile communication technology is as follows:
1. The classification case is given in fig. 9 and the profile case is given in fig. 10, according to the requirements of classification into 3 classes.
2. Then the central value of each category in the clustering algorithm is obtained and marked as C T1 ，C T2 ，C T3 。
S104, determining an SINR interval under the second mobile communication technology according to the central value, matching the SINR interval with the equipment type, and determining the corresponding relation between the SINR interval and the equipment type.
In practical application, the central value of each category may be obtained through S103, so that SINR intervals may be divided according to the central value; illustratively, the SINR intervals may be divided as follows:
then, matching the SINR interval with the equipment type; for example, the correspondence between the device type and the SINR interval may be determined in the following manner; wherein, the corresponding relation includes:
the 16TR equipment requirement accords with a T1 interval;
the requirements of the 32TR equipment meet the T2 interval;
the 64TR device requirements are in line with the T3 interval.
Specifically, the mobile communication technology to which the SINR interval belongs is the same as the mobile communication technology to which the device type belongs; such as: when the SINR included in the SINR interval is 5G, the mobile communication technology to which the device type belongs is 5G (i.e., the device type is the device type of the 5G device).
S105, simulating the scene map to determine a cumulative distribution function of SINR of the designated area under the first mobile communication technology.
Optionally, the scene map includes a three-dimensional (3D) map or a planning map; simulating the scene map to determine a cumulative distribution function of SINR of the designated area under the first mobile communication technology, as shown in fig. 11 and 12, includes:
s1050, simulating the 3D map, and determining a cumulative distribution function of SINR of the designated area under the first mobile communication technology.
Or alternatively, the process may be performed,
s1051, simulating a planning chart, and determining a cumulative distribution function of SINR of a designated area under a first mobile communication technology;
wherein the cumulative distribution function comprises:
F(CDF)＝a×SINR 3 +b×SINR 2 +c×SINR+d；
wherein, F (CDF) represents a probability that a user occurs in SINR under the first mobile communication technology, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants.
In practical applications, determining the cumulative distribution function of SINR according to the 3D map or the planning chart includes:
1. scene reproduction method
A 3D map with specified accuracy (e.g., a 3D map with accuracy of 2 m×2 m) may be obtained, after the 3D map is imported into simulation software (e.g., atoll), base station parameters are configured, user scattering point simulation is performed, and then a CDF curve of SINR is calculated, as shown in fig. 13 below:
F(CDF)＝a×SINR 3 +b×SINR 2 +c×SINR+d；
Where a, b, c, d are constants, SINR represents SINR in the first mobile communication technology, and F (CDF) is a probability that the user appears at the SINR.
2. Scene false seeking method
The method is suitable for a scene without base station construction, and under the condition that only buildings and other building information are known, the duty ratio conditions of different types of penetration loss need to be calculated, and the specific conditions are shown in a table 2:
TABLE 2
| Type of penetration loss | Penetration loss duty cycle |
| Outdoor (outoor) | |
| Indoor low penetration loss | |
| Indoor high penetration loss |
Illustratively, the outdoor (outdoor) penetration loss may be 20%, the indoor low penetration loss may be 40%, and the indoor high penetration loss may be 40% (taken from the third generation partnership project (english: 3rd Generation Partnership Project; 3 GPP) TR 38.901 table 7.4.3-2).
Then, based on the transmission loss ratio and the base station parameters of the cell, simulation is performed using system simulation software (e.g., matlab, etc.), and user scattering simulation is performed, and then a CDF curve of SINR is calculated, as shown in fig. 13 (SINR on abscissa, F (CDF) on ordinate)):
F(CDF)＝a×SINR 3 +b×SINR 2 +c×SINR+d；
where a, b, c, d are constants, SINR represents SINR in the first mobile communication technology, and F (CDF) is a probability that the user appears at the SINR.
The penetration loss ratio is determined by scene construction of different penetration loss models defined in 38.901 standard, and the base station parameters comprise: simulation scene, inter-Site Distance (abbreviated as ISD), number of sites (total number of surrounding base stations), base station antenna height, channel model (channel model specified in the third generation partnership project (abbreviated as 3rd Generation Partnership Project, abbreviated as 3 GPP) TS38.901 standard), subcarrier spacing, service model, number of users per sector, user distribution, indoor and outdoor user distribution (different penetration loss ratio), user mobility, frequency band, system bandwidth, number of physical resource blocks (abbreviated as Physical Resource Block, abbreviated as PRB), frame structure, evolved base station (abbreviated as Evolved B, abbreviated as eNB) transmitting power, number of antenna elements, antenna element radiation model, and number of transceiver units.
S106, determining a first target SINR of the designated area under the first mobile communication technology according to the cumulative distribution function.
Optionally, determining the first target SINR of the designated area under the first mobile communication technology according to the cumulative distribution function includes, as shown in fig. 14:
S1060, determining the designated SINR of the designated area under the first mobile communication technology according to the cumulative distribution function;
s1061, determining an inverse function according to the cumulative distribution function; wherein the inverse function comprises:
SINR′ ＝ F -1 (CDF)＝(a×SINR 3 +b×SINR 2 +c×SINR+d) -1 ；
wherein SINR' and F -1 (CDF) and SINR represent inverse functions, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants.
In practical applications, the probabilities of occurrence of different SINR of the user are not the same, and in order to reflect the average demand of the user in the specified area as much as possible, the SINR corresponding to the point where the occurrence probability of the user is 50% is selected as the first target SINR of the specified area, as shown in fig. 13.
Specifically, determining the first target SINR includes:
taking F (CDF) as 50%, then according to F (CDF) =a×sinr 3 +b×SINR 2 +c×sinr+d, the designated SINR corresponding to the point where the user occurrence probability is 50% can be determined.
The specified SINR is then taken into an inverse function to determine a first target SINR.
S1062, determining a first target SINR of the designated area under the first mobile communication technology according to the inverse function and the designated SINR.
S107, determining a second target SINR of the designated area under the second mobile communication technology according to the second mapping relation between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR.
Optionally, determining the second target SINR of the designated area under the second mobile communication technology according to the second mapping relationship between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR, as shown in fig. 15 includes:
s1070, determining a second target SINR of the designated area under the second mobile communication technology according to a second mapping relation between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR; wherein the second mapping relationship includes:
SINR″＝SINR′+3；
where SINR "represents the second target SINR and SINR' represents the first target SINR.
S108, determining the type of equipment deployed in the designated area according to the second target SINR and the corresponding relation; wherein the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology.
Specifically, determining, according to the second target SINR and the correspondence, a device type deployed in the designated area includes:
selecting the equipment type according to the SINR interval to which the second target SINR belongs; for example, when the second target SINR of any cell in the designated area belongs to the T1 interval, determining that the type of the device deployed in the cell is 16TR device; when the second target SINR of any cell in the designated area belongs to the T2 interval, determining that the type of the equipment deployed in the cell is 32TR equipment; when the second target SINR of any cell in the designated area belongs to the T3 interval, the type of the equipment deployed in the cell is determined to be 64TR equipment.
It should be noted that, in the device type selection method provided by the embodiment of the present invention, when the first mobile communication technology is a third Generation mobile communication technology (3 rd-Generation, abbreviated as 3G), since the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology, the second mobile communication technology can only be a mobile communication technology with release time later than 3G; such as: 4G or 5G.
As can be seen from the above solution, when the first mobile communication technology is 4G and the second mobile communication technology is 5G, and the device type includes 16TR device, 32TR device, and 64TR device, and the designated area is a base station area to be built, the device type selection method provided by the embodiment of the present invention can determine the SINR of 5G and the corresponding relationship between the SINR interval of 5G and the device type based on the historical CQI and the first mapping relationship of the target area in 4G; simulating a scene map of the base station building area, so that the user requirements in the base station building area can be determined; meanwhile, according to the accumulated distribution function of the SINR of the 4G, which is determined by simulating the scene map of the planned base station area, the first target SINR of the planned base station area in the 4G can be determined, and then according to the first target SINR of the 4G and the second mapping relation, the second target SINR of the planned base station area in the 5G can be determined, so that the type of equipment deployed in the planned base station area is determined according to the second target SINR and the corresponding relation, a user can predict the type of 5G equipment required to be deployed in the planned base station area according to the historical CQI of the 4G, and the problem of how to select proper AAU equipment according to the user requirement of the planned base station area is solved.
Example two
An embodiment of the present invention provides a device-type apparatus 10, as shown in fig. 16, including:
an acquiring unit 101 is configured to acquire a historical CQI of a target area under a first mobile communication technology and a scene map in a specified area.
A processing unit 102, configured to determine the SINR under the second mobile communication technology according to the first mapping relationship between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI acquired by the acquiring unit 101.
The processing unit 102 is further configured to cluster SINR under the second mobile communication technology, and determine a central value of each category under the second mobile communication technology;
the processing unit 102 is further configured to determine an SINR interval under the second mobile communication technology according to the central value, match the SINR interval with the equipment type, and determine a correspondence between the SINR interval and the equipment type;
the processing unit 102 is further configured to simulate the scene map acquired by the acquiring unit 101, and determine a cumulative distribution function of SINR of the designated area under the first mobile communication technology;
the processing unit 102 is further configured to determine a first target SINR of the designated area under the first mobile communication technology according to the cumulative distribution function;
The processing unit 102 is further configured to determine a second target SINR of the designated area under the second mobile communication technology according to the second mapping relationship between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR;
the processing unit 102 is further configured to determine a type of equipment deployed in the designated area according to the second target SINR and the corresponding relationship; wherein the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology.
Optionally, the processing unit 102 is specifically configured to determine the SINR under the second mobile communication technology according to the first mapping relationship between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI acquired by the acquiring unit 101; the first mapping relation comprises the following steps:
SINR＝1.9346×CQI-6.799；
wherein, SINR represents SINR under the second mobile communication technology, and CQI represents CQI under the first mobile communication technology.
Optionally, the processing unit 102 is specifically configured to cluster SINR under the second mobile communication technology according to a k-means clustering algorithm, and determine a center value of each category under the second mobile communication technology.
Optionally, the scene map comprises a 3D map or a planning map;
A processing unit 102, configured to simulate the 3D map acquired by the acquiring unit 101, and determine a cumulative distribution function of SINR of the designated area under the first mobile communication technology;
or alternatively, the process may be performed,
a processing unit 102, configured to simulate the plan obtained by the obtaining unit 101, and determine a cumulative distribution function of SINR of the specified area under the first mobile communication technology;
wherein the cumulative distribution function comprises:
F(CDF)＝a×SINR 3 +b×SINR 2 +c×SINR+d；
wherein, F (CDF) represents a probability that a user occurs in SINR under the first mobile communication technology, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants.
Optionally, the processing unit 102 is specifically configured to determine, according to the cumulative distribution function, a specified SINR of the specified area under the first mobile communication technology; a processing unit 102, specifically configured to determine an inverse function according to the cumulative distribution function; wherein the inverse function comprises:
SINR′＝F -1 (CDF)＝(a×SINR 3 +b×SINR 2 +c×SINR+d) -1 ；
wherein SINR' and F -1 (CDF) all represent inverse functions, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants;
the processing unit 102 is specifically configured to determine a first target SINR of the specified area under the first mobile communication technology according to the inverse function and the specified SINR.
Optionally, the processing unit 102 is specifically configured to determine a second target SINR of the designated area under the second mobile communication technology according to a second mapping relationship between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR; wherein the second mapping relationship includes:
SINR″＝SINR′+3；
Where SINR "represents the second target SINR and SINR' represents the first target SINR.
Specifically, in practical application, as shown in fig. 17, the acquiring unit in the device type selecting apparatus includes a full-network 4G MR data extracting module, where the full-network 4G MR data extracting module is configured to acquire a historical CQI of a target area under a first mobile communication technology and a scene map in a specified area; the processing unit comprises a 4G CQI mapping module, a 5G device selection decision method selection module and a 5G device selection module; the 4G CQI mapping module is used for determining the SINR under the second mobile communication technology according to the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI acquired by the whole network 4G MR data extraction module; the 5G equipment selection judgment method selection module is used for clustering SINR under the second mobile communication technology and determining the center value of each category under the second mobile communication technology; the 5G equipment selection judgment method selection module is also used for determining an SINR interval under the second mobile communication technology according to the central value, matching the SINR interval with the equipment type and determining the corresponding relation between the SINR interval and the equipment type; the 5G equipment selection judgment method selection module is used for simulating the scene map acquired by the whole network 4G MR data extraction module and determining the cumulative distribution function of the SINR of the designated area under the first mobile communication technology; the 5G equipment selection judgment method selection module is also used for determining a first target SINR of the designated area under a first mobile communication technology according to the cumulative distribution function; the 5G equipment selection judgment method selection module is also used for determining a second target SINR of the designated area under the second mobile communication technology according to a second mapping relation between the SINR under the first mobile communication technology and the SINR under the second mobile communication technology and the first target SINR; and the 5G equipment selection judgment method selection module is also used for determining the type of equipment deployed in the designated area according to the corresponding relation between the second target SINR and the 5G equipment selection judgment method selection module.
All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, and their effects are not described herein.
The device-type selection apparatus 10 in the case of an integrated module includes: the device comprises a storage unit, a processing unit and an acquisition unit. The processing unit is used for controlling and managing the actions of the device model selection apparatus, for example, the processing unit is used for supporting the device model selection apparatus to execute the processes S101, S102, S103, S104, S105, S106, S107 and S108 in fig. 4; the acquisition unit is used for supporting information interaction between the device type selection device and other devices. And the storage unit is used for storing program codes and data of the equipment type selection device.
The processing unit is taken as a processor, the storage unit is taken as a memory, and the acquisition unit is taken as a communication interface as an example. The device selection apparatus shown in fig. 18 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 (collectively referred to as Central Processing Unit, CPU), microprocessor, application-specific integrated circuit (collectively referred to as Application-Specific Integrated Circuit, ASIC), or one or more integrated circuits for controlling program execution in accordance with aspects of the present Application.
The Memory 503 may be, but is not limited to, a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (Random Access Memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a Read-Only optical disk (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, 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. The memory may be stand alone and coupled to the processor via a bus. The memory may also be integrated with the processor.
The memory 503 is used for storing application codes for executing the present application, and is controlled by the processor 502 to execute the present application. The communication interface 501 is used for information interaction with other devices, such as a remote control. The processor 502 is configured to execute application code stored in the memory 503, thereby implementing the methods described in the embodiments of the present application.
Further, a computing storage medium (or media) is provided that includes instructions that, when executed, perform the method operations performed by the device model selection apparatus in the above embodiments. In addition, a computer program product is provided, comprising the above computing storage medium (or media).
It should be understood that, in various embodiments of the present invention, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, 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 solution. 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 will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in 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 this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory), a magnetic disk or an optical disk, etc., which can store program codes.
It can be appreciated that any of the above-provided device type selecting apparatuses is used for executing the method corresponding to the first embodiment provided above, and therefore, the advantages achieved by the device type selecting apparatus can refer to the method of the first embodiment and the advantages of the corresponding scheme in the following detailed description, which are not repeated herein.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (14)
1. A method of device sizing comprising:
acquiring historical CQI of a target area under a first mobile communication technology and a scene map in a designated area;
determining SINR under the second mobile communication technology according to the first mapping relation between SINR under the second mobile communication technology and CQI under the first mobile communication technology and the historical CQI; the first mapping relation satisfies a linear relation;
clustering SINR under the second mobile communication technology, and determining the central value of each category under the second mobile communication technology;
determining an SINR interval under a second mobile communication technology according to the central value, matching the SINR interval with the equipment type, and determining a corresponding relation between the SINR interval and the equipment type;
simulating the scene map to determine a cumulative distribution function of SINR of the designated area under a first mobile communication technology;
Determining a first target SINR of the designated area under a first mobile communication technology according to the cumulative distribution function;
determining a second target SINR of the designated area under a second mobile communication technology according to a second mapping relation between SINR under the first mobile communication technology and SINR under the second mobile communication technology and the first target SINR;
determining the type of equipment deployed in the designated area according to the second target SINR and the corresponding relation; wherein the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology.
2. The device type selection method according to claim 1, wherein determining the SINR under the second mobile communication technology based on the first mapping relation between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI comprises:
determining SINR under the second mobile communication technology according to the first mapping relation between SINR under the second mobile communication technology and CQI under the first mobile communication technology and the historical CQI; wherein the first mapping relation includes:
SINR＝1.9346×CQI-6.799；
wherein, SINR represents SINR under the second mobile communication technology, and CQI represents CQI under the first mobile communication technology.
3. The device type selection method according to claim 1, wherein clustering SINR under the second mobile communication technology, determining a center value of each category under the second mobile communication technology, comprises:
and clustering SINR under the second mobile communication technology according to a k-means clustering algorithm, and determining the central value of each category under the second mobile communication technology.
4. The device typing method of claim 1, wherein the scene map comprises a 3D map or a planning map;
simulating the scene map to determine a cumulative distribution function of SINR of the specified area under a first mobile communication technology, wherein the cumulative distribution function comprises:
simulating the 3D map, and determining a cumulative distribution function of SINR of the designated area under a first mobile communication technology;
or alternatively, the process may be performed,
simulating the planning diagram, and determining a cumulative distribution function of SINR of the designated area under a first mobile communication technology;
wherein the cumulative distribution function comprises:
F(CDF)＝a×SINR 3 +b×SINR 2 +c×SINR+d；
wherein, F (CDF) represents a probability that a user occurs in SINR under the first mobile communication technology, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants.
5. The apparatus type selection method according to any one of claims 1 to 4, wherein determining a first target SINR for the specified region under a first mobile communication technology according to the cumulative distribution function comprises:
determining a designated SINR of the designated area under a first mobile communication technology according to the cumulative distribution function;
determining an inverse function according to the cumulative distribution function; wherein the inverse function comprises:
SINR′＝F -1 (CDF)＝(a×SINR 3 +b×SINR 2 +c×SINR+d) -1 ；
wherein SINR' and F -1 (CDF) all represent inverse functions, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants;
and determining a first target SINR of the designated area under a first mobile communication technology according to the inverse function and the designated SINR.
6. The apparatus type selection method according to any one of claims 1 to 4, wherein determining the second target SINR of the specified region in the second mobile communication technology according to the second mapping relation between SINR in the first mobile communication technology and SINR in the second mobile communication technology and the first target SINR includes:
determining a second target SINR of the designated area under a second mobile communication technology according to a second mapping relation between SINR under the first mobile communication technology and SINR under the second mobile communication technology and the first target SINR; wherein the second mapping relationship includes:
SINR″＝SINR′+3；
Where SINR "represents the second target SINR and SINR' represents the first target SINR.
7. A device type selection apparatus, comprising:
an acquisition unit, configured to acquire a historical CQI of a target area under a first mobile communication technology and a scene map in a specified area;
a processing unit, configured to determine an SINR under a second mobile communication technology according to a first mapping relationship between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology, and the historical CQI acquired by the acquiring unit; the first mapping relation satisfies a linear relation;
the processing unit is further configured to cluster SINR under the second mobile communication technology, and determine a center value of each category under the second mobile communication technology;
the processing unit is further configured to determine an SINR interval under a second mobile communication technology according to the central value, match the SINR interval with a device type, and determine a correspondence between the SINR interval and the device type;
the processing unit is further configured to simulate the scene map acquired by the acquiring unit, and determine a cumulative distribution function of SINR of the specified area under the first mobile communication technology;
The processing unit is further configured to determine a first target SINR of the specified region under a first mobile communication technology according to the cumulative distribution function;
the processing unit is further configured to determine a second target SINR of the specified area under a second mobile communication technology according to a second mapping relationship between SINR under the first mobile communication technology and SINR under the second mobile communication technology and the first target SINR;
the processing unit is further configured to determine a type of equipment deployed in the designated area according to the second target SINR and the correspondence; wherein the release time of the first mobile communication technology is earlier than the release time of the second mobile communication technology.
8. The device type selection apparatus according to claim 7, wherein the processing unit is specifically configured to determine the SINR under the second mobile communication technology according to a first mapping relationship between the SINR under the second mobile communication technology and the CQI under the first mobile communication technology and the historical CQI acquired by the acquiring unit; wherein the first mapping relation includes:
SINR＝1.9346×CQI-6.799；
wherein, SINR represents SINR under the second mobile communication technology, and CQI represents CQI under the first mobile communication technology.
9. The device type selection apparatus according to claim 7, wherein the processing unit is specifically configured to cluster SINR under the second mobile communication technology according to a k-means clustering algorithm, and determine a center value of each category under the second mobile communication technology.
10. The device selection apparatus of claim 7, wherein the scene map comprises a 3D map or a planning map;
the processing unit is specifically configured to simulate the 3D map acquired by the acquiring unit, and determine a cumulative distribution function of SINR of the specified area under a first mobile communication technology;
or alternatively, the process may be performed,
the processing unit is specifically configured to simulate the plan view acquired by the acquiring unit, and determine a cumulative distribution function of SINR of the specified area under a first mobile communication technology;
wherein the cumulative distribution function comprises:
F(CDF)＝a×SINR 3 +b×SINR 2 +c×SINR+d；
wherein, F (CDF) represents a probability that a user occurs in SINR under the first mobile communication technology, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants.
11. The device type selection apparatus according to any one of claims 7-10, wherein the processing unit is specifically configured to determine a specified SINR of the specified region under a first mobile communication technology according to the cumulative distribution function;
The processing unit is specifically configured to determine an inverse function according to the cumulative distribution function; wherein the inverse function comprises:
SINR′＝F -1 (CDF)＝(a×SINR 3 +b×SINR 2 +c×SINR+d) -1 ；
wherein SINR' and F -1 (CDF) all represent inverse functions, SINR represents SINR under the first mobile communication technology, and a, b, c and d are constants;
the processing unit is specifically configured to determine a first target SINR of the specified region under a first mobile communication technology according to the inverse function and the specified SINR.
12. The device type selection apparatus according to any one of claims 7-10, wherein the processing unit is specifically configured to determine a second target SINR of the specified area under a second mobile communication technology according to a second mapping relationship between SINR under a first mobile communication technology and SINR under the second mobile communication technology and the first target SINR; wherein the second mapping relationship includes:
SINR″＝SINR′+3；
where SINR "represents the second target SINR and SINR' represents the first target SINR.
13. A computer storage medium comprising instructions which, when run on a computer, cause the computer to perform the device-typing method of any one of the preceding claims 1-6.
14. A device type selection apparatus, comprising: communication interface, processor, memory, bus; the memory is used for storing computer-executable instructions, and the processor is connected with the memory through a bus, when the device model selection device runs, the processor executes the computer-executable instructions stored in the memory, so that the device model selection device executes the device model selection method as claimed in any one of claims 1-6.
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