CN109451506B - LTE capacity expansion evaluation method and device, terminal and computer storage medium - Google Patents
LTE capacity expansion evaluation method and device, terminal and computer storage medium Download PDFInfo
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Abstract
The invention provides an evaluation method, an evaluation device, a terminal and a computer storage medium for LTE capacity expansion, wherein the method comprises the following steps: acquiring user value information; opening the O domain and the B domain, and establishing an association relation between the network element load information and the user value information; determining the grade information of a cell where a user is located according to the user value information; and carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by using a preset capacity expansion strategy. The technical scheme provided by the invention solves the problems that the advantages and disadvantages cannot be balanced and the sequence cannot be distinguished in the prior art, establishes the incidence relation between the network element load information and the user value information by communicating the O domain and the B domain, determines the grade information of the cell where the user is located according to the user value information, can perform different capacity expansion operations on the cells with different grades, can perform capacity expansion operation on the high-value cell where the user is located, can slow down the capacity expansion operation on the common-value cell where the user is located, and can suspend the capacity expansion operation on the low-value cell where the user is located.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an evaluation method and apparatus for LTE capacity expansion, a terminal, and a computer storage medium.
Background
Along with the release of the policy of not limiting the flow, the network load is higher and higher, the flow hot spots and explosion points are continuously gushed out, the capacity expansion pressure is gradually increased, the capacity expansion cost is higher and higher, the difficulty of carrying out all capacity expansion on the cells reaching the capacity expansion threshold is higher, the period is prolonged, the situation of insufficient capacity expansion funds is faced, and the problem of how to finish the capacity expansion more efficiently and more accurately under the situation is faced at present. Under the condition that the capacity expansion cannot be completely implemented in a short period or the fund is in short supply, how to preferentially ensure the network perception of high-value users and furthest ensure the benefits of companies is the problem to be solved firstly.
In the prior art, a traditional cell capacity expansion algorithm only evaluates network side load, namely judges whether a current cell reaches a capacity expansion threshold, and then performs capacity expansion; however, after the strategy of the market without limiting the flow is released, the flow hot spot blowout occurs, the cell reaching the expansion threshold blooms all the time, the cell reaching the expansion threshold is completely expanded, the cell reaching the expansion threshold is very difficult to complete in a short time, and the expansion cost is doubled.
Disclosure of Invention
Embodiments of the present invention provide an LTE capacity expansion evaluation method, apparatus, terminal, and computer storage medium, which may balance advantages and disadvantages, distinguish a sequence of capacity expansion, preferentially perform capacity expansion operation on an important cell, and perform slow capacity expansion operation on a common cell.
A first aspect of the present invention provides an LTE capacity expansion assessment method, including:
acquiring user value information;
opening the O domain and the B domain, and establishing an incidence relation between the network element load information and the user value information;
determining the grade information of the cell where the user is located according to the user value information;
and carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by utilizing a preset capacity expansion strategy.
The method for acquiring the user value information comprises the following steps:
acquiring grade information of a user;
determining value information corresponding to the grade information;
and determining the value information corresponding to the grade information as the user value information.
The method for acquiring the grade information of the user comprises the following steps:
acquiring the online time of a user;
and determining the grade information of the user according to the online time.
The method for determining the grade information of the user according to the online time length comprises the following steps:
determining average income of each user according to the online time;
determining a duration interval range to which the on-line duration belongs, and acquiring grade algorithm information corresponding to the duration interval range;
processing the average income of each user according to the grade algorithm information to obtain the comprehensive value score of the user;
and determining a preset standard grade corresponding to the comprehensive value score as grade information of the user.
The method for performing capacity expansion operation corresponding to the level information on the cell where the user is located by using a preset capacity expansion strategy comprises the following steps:
carrying out capacity expansion operation on the high-value cell where the user is located by using a preset capacity expansion strategy;
carrying out slow capacity expansion operation on the common value cell where the user is located by using a preset capacity expansion strategy;
and suspending capacity expansion operation on the low-value cell where the user is located by using a preset capacity expansion strategy.
A second aspect of the present invention provides an LTE capacity expansion evaluation apparatus, including:
the acquisition module is used for acquiring user value information;
the processing module is used for communicating the O domain and the B domain and establishing the incidence relation between the network element load information and the user value information;
the determining module is used for determining the grade information of the cell where the user is located according to the user value information;
and the capacity expansion module is used for carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by utilizing a preset capacity expansion strategy.
The apparatus as described above, the obtaining module configured to:
acquiring grade information of a user;
determining value information corresponding to the grade information;
and determining the value information corresponding to the grade information as the user value information.
The apparatus as described above, the obtaining module configured to:
acquiring the online time of a user;
and determining the grade information of the user according to the online time.
The apparatus as described above, the obtaining module configured to:
determining average income of each user according to the online time;
determining a duration interval range to which the on-line duration belongs, and acquiring grade algorithm information corresponding to the duration interval range;
processing the average income of each user according to the grade algorithm information to obtain the comprehensive value score of the user;
and determining a preset standard grade corresponding to the comprehensive value score as grade information of the user.
The apparatus as described above, the capacity expansion module being configured to:
carrying out capacity expansion operation on the high-value cell where the user is located by using a preset capacity expansion strategy;
carrying out slow capacity expansion operation on the common value cell where the user is located by using a preset capacity expansion strategy;
and suspending capacity expansion operation on the low-value cell where the user is located by using a preset capacity expansion strategy.
A third aspect of the embodiments of the present invention provides an LTE capacity expansion evaluation terminal, including:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement an LTE extended evaluation method as described in the first aspect above.
A fourth aspect of the embodiments of the present invention provides a computer storage medium, which is a computer-readable storage medium having a computer program stored thereon;
the computer program is executed by a processor to implement an LTE capacity expansion assessment method as described in the first aspect above.
The method, the device, the terminal and the computer storage medium for evaluating LTE capacity expansion provided by the embodiments of the present invention solve the problems that the prior art cannot balance advantages and disadvantages and distinguish orders, that is, the priority of capacity expansion needs to be ensured for which cells and the delay of which cells needs to be expanded, establish the association relationship between network element load information and user value information by communicating the O domain and the B domain, determine the grade information of the cell where a user is located according to the user value information, and further perform different capacity expansion operations on the cells of different grades, specifically perform capacity expansion operations on the high-value cell where the user is located, delay the capacity expansion operations on the common-value cell where the user is located, suspend the capacity expansion operations on the low-value cell where the user is located, and the like, thereby improving the practicability of the method and facilitating the popularization and application of the market.
Drawings
Fig. 1 is a flowchart illustrating an LTE capacity expansion evaluation method according to an embodiment of the present invention;
FIG. 2 is a schematic view of a process for obtaining user value information according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of acquiring level information of a user according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of determining the level information of the user according to the online duration according to the embodiment of the present invention;
fig. 5 is a schematic structural diagram of an LTE capacity expansion evaluation apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an LTE capacity expansion evaluation terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of this invention, are intended to cover non-exclusive inclusions, e.g., a process or an apparatus that comprises a list of steps is not necessarily limited to those structures or steps expressly listed but may include other steps or structures not expressly listed or inherent to such process or apparatus.
In a cell capacity expansion algorithm in the prior art, the current network load is generally evaluated according to busy hour index data of one week and a set threshold, capacity expansion is considered to be needed when a corresponding threshold condition is reached, iteration is performed according to 8 weeks, a red-brand cell (a high-heat cell) appears in six consecutive weeks, and all evaluation data are only on the network side and do not have relevance to the information of users (values) resident in the evaluated cell reaching the capacity expansion threshold.
When the capacity expansion operation is carried out, the capacity expansion key point is a high-heat cell due to reasons such as insufficient capacity expansion cost, even if the capacity expansion key point is a high-heat cell, all red-plate cells cannot meet the requirement of whole capacity expansion, the practical problem that which hot spots need to be expanded and which hot spots need to be suspended cannot be distinguished by a traditional algorithm.
Fig. 1 is a flowchart illustrating an LTE capacity expansion evaluation method according to an embodiment of the present invention; referring to fig. 1, in order to overcome the problems that in the prior art, the cell reaching the capacity expansion threshold is completely expanded, which is very difficult to complete in a short period, and the capacity expansion cost is doubled and increased, and cannot meet the requirement for complete capacity expansion, this embodiment provides an evaluation method for LTE capacity expansion, where LTE is an abbreviation of Long Term Evolution (Long Term Evolution), and the evaluation method may weigh advantages and disadvantages, distinguish the order of expansion, preferentially perform capacity expansion operation on an important cell, and perform slow capacity expansion operation on a common cell, and specifically, the evaluation method may include:
s101: acquiring user value information;
the user value information is used to identify the importance degree of the user, and different user value information corresponds to users with different importance levels, for example: the user value information includes: the system comprises 1 star user, 2 star users and 3 star users, wherein the 3 star user is more important than the 2 star user, and the 2 star user is more important than the 1 star user; alternatively, the user value information includes: the system comprises a first level user, a second level user and a third level user, wherein the first level user is more important than the second level user, and the second level user is more important than the third level user; of course, those skilled in the art can also set other forms of user value information as long as the importance of the user can be identified.
In addition, the user value information is related to network access information of the user, and the network access information may include: whether the user is a network-moving user, the on-line time is more than or equal to 6 months, the on-line state, the charge, the non-network card, the VIP invalidation (the invalidation is also realized when the expiration of the next month is increased), and the like; accordingly, user value information can be acquired based on the network access information of the user. Of course, those skilled in the art may also use other methods to obtain the user value information, as long as the accuracy and reliability of obtaining the user value information can be ensured, which is not described herein again.
S102: opening the O domain and the B domain, and establishing an association relation between the network element load information and the user value information;
for the O domain, there may be network data, such as: signaling, alarms, faults, network resources, etc.; for the B domain, there may be user data and service data, such as: consumption habits of users, terminal information, ARPU grouping, service contents, service audience groups and the like; the method comprises the steps of obtaining an O domain and a B domain, communicating the O domain and the B domain, specifically, establishing data connection through a platform established by the current network, establishing a data association channel between the O domain and the B domain, and establishing an association relation between network element load information and user value information after the O domain and the B domain are communicated, wherein the network element load information is network load information of a cell where the data association channel between the O domain and the B domain is established.
S103: determining the grade information of a cell where a user is located according to the user value information;
after the user value information is acquired, the grade information of the cell where the user is located can be determined based on the user value information; specifically, a mapping relationship between preset user value information and level information of a cell where the user is located may be obtained, and then the level information of the cell where the user is located may be determined by using the mapping relationship.
S104: and carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by using a preset capacity expansion strategy.
The cell where the user is located can correspond to different grade information, so that different capacity expansion operations can be performed on the cells with different grade information by using a preset capacity expansion strategy; for example, the rank information of the cell in which the user is located may include: high value cells, common value cells and low value cells; the high-value cell has a higher importance degree and a larger capacity expansion requirement than the ordinary value cell, and the ordinary value cell has a higher importance degree and a larger capacity expansion requirement than the low-value cell; therefore, when the level information of the cell in which the user is located is a high-value cell, performing capacity expansion operation corresponding to the level information on the cell in which the user is located by using a preset capacity expansion strategy may include: carrying out capacity expansion operation on the high-value cell where the user is located by using a preset capacity expansion strategy; when the level information of the cell where the user is located is the common value cell, performing capacity expansion operation corresponding to the level information on the cell where the user is located by using a preset capacity expansion strategy may include: carrying out slow capacity expansion operation on the common value cell where the user is located by using a preset capacity expansion strategy; when the level information of the cell where the user is located is a low-value cell, performing capacity expansion operation corresponding to the level information on the cell where the user is located by using a preset capacity expansion strategy may include: and suspending capacity expansion operation on the low-value cell where the user is located by using a preset capacity expansion strategy. Of course, those skilled in the art may also perform other types of capacity expansion operations on the cell where the user is located by using the preset capacity expansion policy, as long as the priority capacity expansion operation on the high-value cell can be ensured, which is not described herein again.
The LTE capacity expansion assessment method provided in this embodiment solves the problem that in the prior art, it is impossible to balance advantages and disadvantages, and distinguish between them, that is, it is necessary to guarantee priority capacity expansion for which cells and which cells need slow expansion, and establishes an association relationship between network element load information and user value information by opening the O domain and the B domain, and determines the level information of the cell where the user is located according to the user value information, and then different capacity expansion operations can be performed on the cells of different levels, specifically, capacity expansion operation can be performed on a high-value cell where the user is located, slow expansion operation is performed on a general-value cell where the user is located, and capacity expansion operation is suspended for a low-value cell where the user is located, and the like, thereby improving the practicability of the method, and facilitating popularization and application in the market.
FIG. 2 is a schematic view of a process for obtaining user value information according to an embodiment of the present invention; fig. 3 is a schematic flowchart of acquiring level information of a user according to an embodiment of the present invention; fig. 4 is a schematic flowchart of determining the ranking information of the user according to the online duration according to the embodiment of the present invention; on the basis of the foregoing embodiment, with reference to fig. 2 to 4, it can be seen that, in this embodiment, a specific implementation manner of obtaining user value information is not limited, and a person skilled in the art may set the implementation manner according to a specific design requirement, and preferably, obtaining user value information in this embodiment may include:
s1011: acquiring grade information of a user;
the level information of the user may be related to the online duration of the user, and therefore, obtaining the level information of the user may include:
s10111: acquiring the online time of a user;
when the online time of the user is obtained, the network access log of the user can be obtained first, and the online time of the user is obtained through analysis and identification of the network access log.
S10112: and determining the grade information of the user according to the online time.
After the on-line duration is acquired, analyzing the on-line duration, and determining the grade information of the user based on the analysis processing result; specifically, determining the ranking information of the user according to the online duration may include:
s101121: determining average income of each user according to the online time;
therefore, after the on-network duration is determined, the corresponding Average income Per User ARPU can be determined based on the on-network duration.
For example, the average ARPU is 1, when the network duration is greater than or equal to 12 months, the evaluation month is traced back for 12 months, and at this time, ARPU is the accumulated revenue/12; and the duration of the on-line is less than 12 months, the on-line month is one month before the evaluation month, and at the moment, the ARPU is the accumulated income/duration of the on-line.
S101122: determining a duration interval range to which the on-line duration belongs, and acquiring grade algorithm information corresponding to the duration interval range;
different online time lengths can correspond to different level algorithm information, and the level algorithm information has a relatively large fixed influence on the level information of the user, for example: the network time length comprises T1, T2 and T3, the three network time lengths respectively belong to a first time length interval range, a second time length interval range and a third time length interval range, different time length interval ranges correspond to different grade algorithm information L1, L2 and L3, wherein L1 is T + K1, L2 is T + K2, L3 is T + K3, a parameter T in the algorithm is the network time length, K1, K2 and K3 are preset coefficients, and K1, K2 and K3 are different; therefore, after the on-line time length is determined, the grade algorithm information corresponding to the on-line time length can be obtained, so that the accuracy and the reliability of the grade information determination of the user can be ensured.
When the method is applied specifically, the corresponding relation between the duration interval range and the grade algorithm information is as follows: average ARPU 1 for less than or equal to 12 months on the net; when the network duration is equal to 13 to 24 months, the grade algorithm information is average ARPU 1.1; when the network duration is equal to 25 to 36 months, the grade algorithm information is average ARPU 1.5; when the network duration is equal to 37 to 48 months, the grade algorithm information is average ARPU 1.7; when the network duration is equal to 49 to 60 months, the grade algorithm information is average ARPU 1.9; the ranking algorithm information was average ARPU x 2 for network durations greater than 60 months.
Of course, those skilled in the art may also use other corresponding relationships between the duration interval range and the level algorithm information, as long as the accuracy of determining the level algorithm information can be ensured, and details are not described herein.
S101123: processing the average income of each user according to the grade algorithm information to obtain the comprehensive value score of the user;
after the ranking algorithm information is acquired, the average income of the users can be analyzed and processed based on the ranking algorithm information, so that the comprehensive value scores of the users can be acquired.
S101124: and determining a preset standard grade corresponding to the comprehensive value score as the grade information of the user.
Since different comprehensive value scores correspond to different user grade information, the user grade information can be determined based on the comprehensive value scores, specifically, a standard grade corresponding to the comprehensive value score can be obtained first by using a mapping relation between the preset comprehensive value score and the standard grade, and then the standard grade is directly determined as the user grade information.
In specific applications, the correspondence between the composite value score and the standard rating may be as follows: standard rating is 1 star: a composite value score of < 30; standard rating was 2 stars: 30< (r) > composite value score < 80; standard rating was 3 stars: 80< (r) > composite worth score < 140; standard rating of 4 stars: 140< integrated value score < 260; standard rating of 5 stars: 260<, the composite value score. Of course, those skilled in the art may also adopt other corresponding relationships, which are not described herein again.
S1012: determining value information corresponding to the grade information;
after the level information of the user is acquired, value information corresponding to the level information may be determined based on a mapping relationship between the level information of the user and the value information.
S1013: and determining the value information corresponding to the grade information as the user value information.
After the value information corresponding to the grade information is obtained, the value information can be directly determined as the user value information, so that the stability and the reliability of the determination of the user value information are ensured.
During specific application, an appropriate threshold can be set for the number of users according to the expansion evaluation data and by combining the fund configuration condition of an expansion network and the purchased expansion hardware condition, so that expansion priority is divided. Meanwhile, the capacity expansion threshold of the high-value area can be set automatically according to the specific situation of the local network resource configuration, so that the high-value area and the relatively low-value area are effectively distinguished, and the problem that the important area (value area) preferentially ensures the perception of the user is solved.
The LTE capacity expansion evaluation method provided by this embodiment may classify users, for example, the users may be classified into 5 classes such as 1 star to 5 stars, and the higher the star class is, the higher the user value is; establishing data connection through the O domain B domain and a platform established by the existing network, and realizing the association between the network elements (cells) of the existing network and the user value information; matching user information (users with star-level labels) in the evaluated high-heat cells reaching the capacity expansion threshold; the method has the advantages that the expansion is preferentially ensured for the cells with more high-star-level users (high value), the cells with less high-star-level users are moderately slowed down, the expansion is suspended in the regions without the high-value users, namely, the expansion value is ensured under the condition of limited resources, so that the quality and the effect of the expansion are improved, and the practicability of the method is effectively improved.
Fig. 5 is a schematic structural diagram of an LTE capacity expansion evaluation apparatus according to an embodiment of the present invention; referring to fig. 5, the present embodiment provides an LTE capacity expansion evaluation apparatus, which may execute the above evaluation method, and specifically, the apparatus may include:
an obtaining module 101, configured to obtain user value information;
the processing module 102 is configured to call up the O domain and the B domain, and establish an association relationship between the network element load information and the user value information;
a determining module 103, configured to determine, according to the user value information, level information of a cell in which the user is located;
and the capacity expansion module 104 is configured to perform capacity expansion operation corresponding to the level information on the cell where the user is located by using a preset capacity expansion strategy.
Specifically, when the capacity expansion module 104 performs the capacity expansion operation corresponding to the level information on the cell where the user is located by using the preset capacity expansion policy, the capacity expansion module 104 may be configured to perform: carrying out capacity expansion operation on the high-value cell where the user is located by using a preset capacity expansion strategy; carrying out slow capacity expansion operation on the common value cell where the user is located by using a preset capacity expansion strategy; and suspending capacity expansion operation on the low-value cell where the user is located by using a preset capacity expansion strategy.
Further, on the basis of the foregoing embodiment, with continuing reference to fig. 5, when the obtaining module 101 obtains the user value information, the obtaining module 101 is specifically configured to perform:
acquiring grade information of a user; determining value information corresponding to the grade information; and determining the value information corresponding to the grade information as the user value information.
When the obtaining module 101 obtains the level information of the user, the obtaining module 101 is specifically configured to perform: acquiring the online time of a user; and determining the grade information of the user according to the online time.
Specifically, when the obtaining module 101 determines the level information of the user according to the online time, the obtaining module 101 is specifically configured to execute: determining average income of each user according to the online time; determining a duration interval range to which the on-line duration belongs, and acquiring grade algorithm information corresponding to the duration interval range; processing the average income of each user according to the grade algorithm information to obtain the comprehensive value score of the user; and determining a preset standard grade corresponding to the comprehensive value score as the grade information of the user.
The LTE capacity expansion evaluation apparatus provided in this embodiment can be used to execute the method corresponding to the embodiments in fig. 1 to 4, and the specific execution manner and the beneficial effects thereof are similar and will not be described herein again.
In addition, in another aspect, this embodiment provides an LTE capacity expansion evaluation terminal, including:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement an LTE expansion evaluation method according to the embodiments corresponding to fig. 1 to fig. 4.
Specifically, fig. 6 is a schematic structural diagram of an LTE capacity expansion evaluation terminal according to an embodiment of the present invention.
As shown in fig. 6, the evaluation terminal 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.
The processing component 802 generally controls overall operation of the evaluation terminal 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operation at the evaluation terminal 800. Examples of such data include instructions for any application or method operating on evaluation terminal 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power component 806 provides power to the various components of the evaluation terminal 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the evaluation terminal 800.
The multimedia component 808 includes a screen providing an output interface between the evaluation terminal 800 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive an external audio signal when the evaluation terminal 800 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the assessment terminal 800. For example, the sensor component 814 may detect an open/closed state of the evaluation terminal 800, the relative positioning of components, such as a display and keypad of the evaluation terminal 800, the sensor component 814 may also detect a change in position of the evaluation terminal 800 or a component of the evaluation terminal 800, the presence or absence of user contact with the evaluation terminal 800, the orientation or acceleration/deceleration of the evaluation terminal 800, and a change in temperature of the evaluation terminal 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. Sensor assembly 814 may also include a camera assembly, which may employ, for example, a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communication between the evaluation terminal 800 and other devices in a wired or wireless manner. The evaluation terminal 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, communications component 816 further includes a Near Field Communications (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the evaluation terminal 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
Yet another aspect of the present embodiments provides a computer storage medium, which is a computer-readable storage medium having a computer program stored thereon;
the computer program is executed by the processor to implement an LTE capacity expansion evaluation method according to the embodiments corresponding to fig. 1 to fig. 4.
Finally, it should be noted that, as one of ordinary skill in the art will appreciate, all or part of the processes of the methods of the embodiments described above may be implemented by hardware related to instructions of a computer program, where the computer program may be stored in a computer-readable storage medium, and when executed, the computer program may include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like.
Each functional unit in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium. The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
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; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. An evaluation method for LTE capacity expansion, comprising:
acquiring user value information;
opening the O domain and the B domain, and establishing an incidence relation between the network element load information and the user value information;
determining the grade information of the cell where the user is located according to the user value information; the rank information of the cell in which the user is located may include: high value cells, common value cells and low value cells;
carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by using a preset capacity expansion strategy;
and carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by utilizing a preset capacity expansion strategy, wherein the capacity expansion operation comprises the following steps:
carrying out capacity expansion operation on the high-value cell where the user is located by using a preset capacity expansion strategy;
carrying out slow capacity expansion operation on the common value cell where the user is located by using a preset capacity expansion strategy;
suspending capacity expansion operation on a low-value cell where a user is located by using a preset capacity expansion strategy;
acquiring user value information, comprising:
acquiring grade information of a user;
determining value information corresponding to the grade information;
determining value information corresponding to the grade information as the user value information;
the making-through O domain and B domain establish an association relationship between network element load information and the user value information, and specifically include:
establishing a data association channel between an O domain and a B domain through a platform established by the existing network; establishing an incidence relation between the network element load information and the user value information; and the network element load information is the network load information of the cell where the data association channel between the O domain and the B domain is established.
2. The method of claim 1, wherein obtaining rating information of a user comprises:
acquiring the online time of a user;
and determining the grade information of the user according to the online time.
3. The method of claim 2, wherein determining ranking information of the user according to the online duration comprises:
determining average income of each user according to the online time;
determining a duration interval range to which the on-line duration belongs, and acquiring grade algorithm information corresponding to the duration interval range;
processing the average income of each user according to the grade algorithm information to obtain the comprehensive value score of the user;
and determining a preset standard grade corresponding to the comprehensive value score as grade information of the user.
4. An evaluation device for LTE capacity expansion, comprising:
the acquisition module is used for acquiring user value information;
the processing module is used for communicating the O domain and the B domain and establishing the incidence relation between the network element load information and the user value information;
the determining module is used for determining the grade information of the cell where the user is located according to the user value information; the rank information of the cell in which the user is located may include: high value cells, common value cells and low value cells;
the capacity expansion module is used for carrying out capacity expansion operation corresponding to the grade information on the cell where the user is located by utilizing a preset capacity expansion strategy;
the capacity expansion module is used for:
carrying out capacity expansion operation on the high-value cell where the user is located by using a preset capacity expansion strategy;
carrying out slow capacity expansion operation on the common value cell where the user is located by using a preset capacity expansion strategy;
suspending capacity expansion operation on a low-value cell where a user is located by using a preset capacity expansion strategy;
the obtaining module is configured to:
acquiring grade information of a user;
determining value information corresponding to the grade information;
determining value information corresponding to the grade information as the user value information;
the processing module is particularly used for
Establishing a data association channel between an O domain and a B domain through a platform established by the existing network; establishing an incidence relation between the network element load information and the user value information; and the network element load information is the network load information of the cell where the data association channel between the O domain and the B domain is established.
5. The apparatus of claim 4, wherein the obtaining module is configured to:
acquiring the online time of a user;
and determining the grade information of the user according to the online time.
6. The apparatus of claim 5, wherein the obtaining module is configured to:
determining average income of each user according to the online time;
determining a duration interval range to which the on-line duration belongs, and acquiring grade algorithm information corresponding to the duration interval range;
processing the average income of each user according to the grade algorithm information to obtain the comprehensive value score of the user;
and determining a preset standard grade corresponding to the comprehensive value score as grade information of the user.
7. An evaluation terminal for LTE capacity expansion, comprising:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement an LTE extended evaluation method as claimed in any of claims 1-3.
8. A computer storage medium, characterized in that the computer storage medium is a computer-readable storage medium having a computer program stored thereon;
the computer program is executed by a processor to implement an LTE capacity expansion evaluation method as claimed in any one of claims 1 to 3.
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| CN110839257B (en) * | 2019-11-14 | 2023-03-21 | 中国联合网络通信集团有限公司 | Network quality evaluation method, device and storage medium |
| CN115051920B (en) * | 2022-06-02 | 2023-07-18 | 北京邮电大学 | Method and system for expanding NFV capacity network element under capacity open architecture |
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