CN116528281A - Network capacity assessment method, device and storage medium - Google Patents
Network capacity assessment method, device and storage medium Download PDFInfo
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- CN116528281A CN116528281A CN202310739343.9A CN202310739343A CN116528281A CN 116528281 A CN116528281 A CN 116528281A CN 202310739343 A CN202310739343 A CN 202310739343A CN 116528281 A CN116528281 A CN 116528281A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application provides a network capacity assessment method, a device and a storage medium, relates to the technical field of communication, and is used for solving the technical problem that an assessment result obtained by an existing method is low in accuracy when the network capacity is assessed. The network capacity assessment method comprises the following steps: determining service demand information of an object to be evaluated in a target time period; the target time period is used for representing a time period when the traffic of the object to be evaluated is greater than the preset traffic; acquiring bearing information of an object to be evaluated; and determining the network capacity of the object to be evaluated according to the service demand information and the bearing information.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a network capacity assessment method, device, and storage medium.
Background
The network capacity assessment can provide an important basis for network resource delivery of operators.
The prior art generally evaluates the network capacity of a cell according to the basic frequency, channel configuration, multiple antennas, etc. of the cell.
However, when the network capacity is estimated by using the existing method, the accuracy of the obtained estimation result is low.
Disclosure of Invention
The application provides a network capacity evaluation method, a network capacity evaluation device and a storage medium, which are used for solving the technical problem that the accuracy of an obtained evaluation result is low when the network capacity is evaluated by the existing method.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, a network capacity assessment method is provided, including:
determining service demand information of an object to be evaluated in a target time period; the target time period is used for representing a time period when the traffic of the object to be evaluated is greater than the preset traffic;
acquiring bearing information of an object to be evaluated;
and determining the network capacity of the object to be evaluated according to the service demand information and the bearing information.
Optionally, determining the service requirement information of the object to be evaluated in the target time period includes:
acquiring the number of concurrent user equipment; the concurrent user equipment is user equipment which accesses the object to be evaluated and performs data transmission at the same time in a target time period;
acquiring service information of each concurrent user equipment;
and determining service demand information according to the number of concurrent user equipment and the service information.
Optionally, when the object to be evaluated is an evaluation object in the high-speed rail area, acquiring the number of concurrent user devices includes:
and when the high-speed rail exists in the high-speed rail area, determining the number of the user equipment which simultaneously performs data transmission in the high-speed rail area as the number of the concurrent user equipment.
Optionally, the network capacity assessment method further includes:
when the network capacity of the object to be evaluated is insufficient, controlling the object to be evaluated to perform network capacity expansion and/or distributing the service borne by the object to be evaluated;
and when the network capacity of the object to be evaluated is sufficient and the object to be evaluated is a multi-carrier fan, reducing the carrier fan of the object to be evaluated until the object to be evaluated is a single carrier fan and/or the carrier information meets the service requirement information.
In a second aspect, there is provided a network capacity assessment apparatus comprising: a processing unit and an acquisition unit;
the processing unit is used for determining service demand information of the object to be evaluated in the target time period; the target time period is used for representing a time period when the traffic of the object to be evaluated is greater than the preset traffic;
the acquisition unit is used for acquiring the bearing information of the object to be evaluated;
and the processing unit is also used for determining the network capacity of the object to be evaluated according to the service demand information and the bearing information.
Optionally, the processing unit is specifically configured to:
acquiring the number of concurrent user equipment; the concurrent user equipment is user equipment which accesses the object to be evaluated and performs data transmission at the same time in a target time period;
acquiring service information of each concurrent user equipment;
and determining service demand information according to the number of concurrent user equipment and the service information.
Optionally, when the object to be evaluated is an evaluation object in the high-speed rail area, the acquiring unit is specifically configured to:
and when the high-speed rail exists in the high-speed rail area, determining the number of the user equipment which simultaneously performs data transmission in the high-speed rail area as the number of the concurrent user equipment.
Optionally, the processing unit is further configured to:
when the network capacity of the object to be evaluated is insufficient, controlling the object to be evaluated to perform network capacity expansion and/or distributing the service borne by the object to be evaluated;
and when the network capacity of the object to be evaluated is sufficient and the object to be evaluated is a multi-carrier fan, reducing the carrier fan of the object to be evaluated until the object to be evaluated is a single carrier fan and/or the carrier information meets the service requirement information.
In a third aspect, a network capacity assessment apparatus is provided, comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the network capacity assessment device is running, the processor executes the computer-executable instructions stored in the memory to cause the network capacity assessment device to perform the network capacity assessment method according to the first aspect.
The network capacity assessment device may be a network device or may be a part of a device in a network device, such as a chip system in a network device. The system-on-chip is configured to support the network device to implement the functions involved in the first aspect and any one of its possible implementations, for example, to obtain, determine, and send data and/or information involved in the network capacity assessment method described above. The chip system includes a chip, and may also include other discrete devices or circuit structures.
In a fourth aspect, there is provided a computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the network capacity assessment method of the first aspect.
In a fifth aspect, there is also provided a computer program product comprising computer instructions which, when run on a network capacity assessment device, cause the network capacity assessment device to perform the network capacity assessment method as described in the first aspect above.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with the processor of the network capacity assessment device, or may be packaged separately from the processor of the network capacity assessment device, which is not limited in this embodiment of the present application.
The description of the second, third, fourth and fifth aspects of the present application may refer to the detailed description of the first aspect.
In the embodiment of the present application, the names of the above-mentioned network capacity assessment apparatuses do not constitute limitations on the devices or function modules themselves, and in actual implementation, these devices or function modules may appear under other names. For example, the receiving unit may also be referred to as a receiving module, a receiver, etc. Insofar as the function of each device or function module is similar to the present application, it is within the scope of the claims of the present application and the equivalents thereof.
The technical scheme provided by the application at least brings the following beneficial effects:
based on any one of the above aspects, the present application proposes a network capacity evaluation method, which can determine service requirement information of an object to be evaluated in a target time period. The target time period is used for representing a time period when the traffic of the object to be evaluated is larger than the preset traffic. Then, the bearing information of the object to be evaluated can be acquired. Subsequently, the network capacity of the object to be evaluated can be determined according to the service demand information and the bearing information. Therefore, the network capacity assessment method provided by the application can consider the actual capacity requirement from the aspects of the user angle, the user service behavior and the like, consider the instantaneous user situation with data transmission in parallel, consider the network resource configuration and the refinement of delivery, and improve the assessment accuracy of the network capacity.
The advantages of the first, second, third, fourth and fifth aspects of the present application may be referred to for analysis of the above-mentioned advantages, and are not described here again.
Drawings
Fig. 1 is a schematic structural diagram of a network capacity assessment system according to an embodiment of the present application;
fig. 2 is a schematic hardware structure diagram of a network capacity assessment device according to an embodiment of the present application;
fig. 3 is a schematic hardware structure diagram of a network capacity assessment device according to an embodiment of the present application;
fig. 4 is a flowchart of a network capacity evaluation method according to an embodiment of the present application;
fig. 5 is a second flowchart of a network capacity evaluation method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a network capacity assessment device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be noted that, in the embodiments of the present application, 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 "for example" should not be construed 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 order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first", "second", and the like 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", and the like are not limited in number and execution order.
As described in the background, the prior art generally evaluates the network capacity of a cell according to the basic frequency, channel configuration, multiple antennas, and the like of the cell.
However, the existing methods do not take into account the actual capacity requirements from the point of view of the users of the area covered by the cell, and the user traffic behavior, etc. Second, existing methods do not take into account the instantaneous user situation of concurrent data transmission. Again, the existing methods do not take into account the refinement and refinement of network resource allocation and delivery. In conclusion, when the network capacity is estimated by using the existing method, the accuracy of the obtained estimation result is low.
The application provides a network capacity evaluation method which can determine service demand information of an object to be evaluated in a target time period. The target time period is used for representing a time period when the traffic of the object to be evaluated is larger than the preset traffic. Then, the bearing information of the object to be evaluated can be acquired. Subsequently, the network capacity of the object to be evaluated can be determined according to the service demand information and the bearing information. Therefore, the network capacity assessment method provided by the application can consider the actual capacity requirement from the aspects of the user angle, the user service behavior and the like, consider the instantaneous user situation with data transmission in parallel, consider the network resource configuration and the refinement of delivery, and improve the assessment accuracy of the network capacity.
The network capacity assessment method is suitable for a network capacity assessment system. Fig. 1 shows a structure of the network capacity assessment system. As shown in fig. 1, the network capacity assessment system includes: an electronic device 101 and a data providing device 102 which are communicatively connected to each other.
In practical applications, the electronic device 101 may be connected to any number of data providing devices. For ease of understanding, fig. 1 illustrates an example in which one electronic device 101 is connected to one data providing device 102.
Alternatively, the entity devices of the electronic device 101 and the data providing device 102 may be servers, or may be terminals, or may be other types of electronic devices, which is not limited in this embodiment of the present application.
Alternatively, the terminal may be a device that provides voice and/or data connectivity to the user, a handheld device with wireless connectivity, or other processing device connected to a wireless modem. The wireless terminal may communicate with one or more core networks via a radio access network (radio access network, RAN). The wireless terminals may be mobile terminals such as mobile telephones (or "cellular" telephones) and computers with mobile terminals, as well as portable, pocket, hand-held, computer-built-in or car-mounted mobile devices which exchange voice and/or data with radio access networks, e.g. cell phones, tablet computers, notebook computers, netbooks, personal digital assistants (personal digital assistant, PDA).
Alternatively, the server may be one server in a server cluster (including multiple servers), or may be a chip in the server, or may be a system on a chip in the server, or may be implemented by a Virtual Machine (VM) deployed on a physical machine, which is not limited in this embodiment of the present application.
The basic hardware structure of the electronic device 101 includes elements included in the network capacity assessment apparatus shown in fig. 2 or fig. 3. The hardware configuration of the electronic apparatus 101 will be described below taking the network capacity assessment apparatus shown in fig. 2 and 3 as an example.
Fig. 2 is a schematic hardware structure diagram of a network capacity assessment device according to an embodiment of the present application. The network capacity assessment device comprises a processor 21, a memory 22, a communication interface 23, a bus 24. The processor 21, the memory 22 and the communication interface 23 may be connected by a bus 24.
The processor 21 is a control center of the network capacity assessment apparatus, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 21 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 21 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 2.
The memory 22 may be, but is not limited to, a read-only memory (ROM) or other type of static network access device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic network access device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic network access device, 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.
In a possible implementation, the memory 22 may exist separately from the processor 21, and the memory 22 may be connected to the processor 21 by a bus 24 for storing instructions or program code. The processor 21, when calling and executing instructions or program code stored in the memory 22, is capable of implementing the network capacity assessment method provided in the embodiments described below.
In the embodiment of the present application, the software program stored in the memory 22 is different for the electronic device 101, so the functions implemented by the electronic device 101 are different. The functions performed with respect to the respective devices will be described in connection with the following flowcharts.
In another possible implementation, the memory 22 may also be integrated with the processor 21.
A communication interface 23 for connecting the network capacity assessment device with other devices via a communication network, which may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN) or the like. The communication interface 23 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.
Bus 24 may be an industry standard architecture (industry standard architecture, ISA) bus, an external device interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 2, but not only one bus or one type of bus.
Fig. 3 shows another hardware configuration of the network capacity assessment apparatus in the embodiment of the present application. As shown in fig. 3, the network capacity assessment device may include a processor 31 and a communication interface 32. The processor 31 is coupled to a communication interface 32.
The function of the processor 31 may be as described above with reference to the processor 21. The processor 31 also has a memory function and can function as the memory 22.
The communication interface 32 is used to provide data to the processor 31. The communication interface 32 may be an internal interface of the network capacity assessment device or an external interface (corresponding to the communication interface 23) of the network capacity assessment device.
It should be noted that the structure shown in fig. 2 (or fig. 3) does not constitute a limitation of the network capacity assessment apparatus, and the network capacity assessment apparatus may include more or less components than those shown in fig. 2 (or fig. 3), or may combine some components, or may be arranged in different components.
The network capacity assessment method provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings.
The network capacity assessment method provided by the embodiment of the present application is applied to the electronic device 101 in the network capacity assessment system shown in fig. 1, as shown in fig. 4, and includes:
s401, the electronic equipment determines service demand information of the object to be evaluated in a target time period.
The target time period is used for representing a time period when the traffic of the object to be evaluated is larger than the preset traffic.
Specifically, to accurately determine the network capacity of the object under evaluation, the electronic device may determine the traffic demand information of the object under evaluation in busy hours (i.e., the target time period).
Alternatively, the object to be evaluated may be a base station or a cell.
Optionally, the method for determining the service requirement information of the object to be evaluated in the target time period by the electronic device specifically includes:
s401-1, the electronic equipment acquires the number of concurrent user equipment.
Specifically, the electronic device may obtain network element information of each network element in the target scenario from the data providing device (e.g., a network management server). Then, when the electronic device receives an instruction for performing network evaluation on the network element to be evaluated (i.e. the object to be evaluated), the electronic device acquires the network element information of the network element to be evaluated from the network element information of each network element, and acquires the number of concurrent user devices of the network element to be evaluated from the data providing device (e.g. the network management server) according to the network element information.
The concurrent user equipment is user equipment which accesses the object to be evaluated in a target time period and performs data transmission at the same time.
Alternatively, the target time period may be a time period during which traffic is busy within a certain period of time.
Optionally, when the object to be evaluated is an evaluation object in the high-speed rail area, the method for obtaining the number of concurrent user devices by the electronic device specifically includes:
when the high-speed rail exists in the high-speed rail area, the electronic equipment determines the number of the user equipment which simultaneously performs data transmission in the high-speed rail area as the number of the concurrent user equipment.
Specifically, assuming that the object to be evaluated is a high-speed rail scene coverage cell, the electronic device counts a period of time with the highest traffic and the largest number of RRC connected users in one week. And then, the electronic equipment counts the number of concurrent data transmission user equipment when the coverage cell of the high-speed rail scene is busy.
For example, in a high-speed rail area, the electronic device first acquires the number of concurrent user devices in busy hours of a large network cell corresponding to the high-speed rail area. The high-speed railway scene coverage cell adopts second-level tracking data (data when a sub-train does not pass and a train passes), wherein the concurrent user data when the train does not pass is the number of concurrent user equipment of the large-network cell, and the number of the concurrent user equipment when the train passes is the sum of the number of the concurrent user equipment of the large-network cell and the number of the concurrent user equipment of the high-speed railway private network cell when the high-speed railway train passes.
Alternatively, the electronic device may acquire the total amount of the user devices for data transmission in the target period (for example, 1000), then acquire the duty ratio of the user devices for data transmission simultaneously (for example, 10%), and then the electronic device may determine the number of concurrent user devices (i.e., 1000×10% =100).
S401-2, the electronic equipment acquires service information of each concurrent user equipment.
Alternatively, the electronic device may obtain service information of each concurrent user device from the data providing device (e.g., a network management server).
Alternatively, the service information may include a data transmission required bandwidth of each service and a duty ratio of user equipment of each service.
S401-3, the electronic equipment determines service requirement information according to the number of concurrent user equipment and service information.
Specifically, since the service information may include a data transmission required bandwidth of each service and a duty ratio of the user equipment of each service, the electronic device may determine an integrated service demand rate of each concurrent user equipment according to the data transmission required bandwidth of each service and the duty ratio of the user equipment of each service. And then, the electronic equipment determines service requirement information according to the number of the concurrent user equipment and the comprehensive service requirement rate of each concurrent user equipment.
Wherein the traffic demand information may be a traffic demand (which may also be referred to as traffic demand bandwidth). Traffic demand = integrated traffic demand rate per concurrent user equipment the number of concurrent user equipments.
S402, the electronic equipment acquires bearing information of the object to be evaluated.
Alternatively, the electronic device may obtain the bearer information of the object to be evaluated from the data providing device (e.g., a network management server).
The carrying information of the object to be evaluated can be the carrying capacity of the fully scheduled object to be evaluated, namely the maximum bandwidth which can be provided by the object to be evaluated after the object to be evaluated performs the limit pressure test in the target scene.
S403, the electronic equipment determines the network capacity of the object to be evaluated according to the service demand information and the bearing information.
When the traffic demand is greater than the load, it is determined that the network capacity of the object to be evaluated is insufficient.
When the traffic demand is less than or equal to the load capacity, it is determined that the network capacity of the object to be evaluated is sufficient.
For example, the electronic device may obtain service information of a concurrent user device as a web service, an instant messaging service, and a video service. Then, the electronic device may obtain the duty ratio of the user device of each service as 29.78% of the user device of the web service, 11.86% of the user device of the instant messaging service, and 3.36% of the user device of the video service.
Then, the electronic device may determine that the data transmission required bandwidth of the web service is 10Mbps, the data transmission required bandwidth of the video service is 5Mbps, and the data transmission required bandwidth of the instant communication service is 0.5Mbps. According to the information, the comprehensive service demand rate of the single concurrent user equipment in the 4G network can be determined to be 3.14Mbps, and the comprehensive service demand rate in the 5G network can be determined to be 5.85Mbps.
Then, the electronic device may obtain 45 concurrent user equipments in the 4G network and 90 concurrent user equipments in the 5G network of the cell to be evaluated.
Next, the electronic device may determine that the total rate requirement of the cell under evaluation is 270Mbps in the 4G network and 526.5Mbps in the 5G network.
Then, the electronic device can acquire the 180MBPS limit rate in the high-speed rail scene, the 2.1G cell can increase the 300MBPS limit rate in the 3.5G cell.
Since the 300MBPS limiting rate is greater than 270MBPS, the 3.5G cell can meet the traffic demand of the cell under evaluation under the 4G network.
In some embodiments, in conjunction with fig. 4, as shown in fig. 5, the network capacity assessment method further includes:
and S501, when the network capacity of the object to be evaluated is insufficient, the electronic equipment controls the object to be evaluated to perform network capacity expansion and/or shunt the service borne by the object to be evaluated.
S502, when the network capacity of the object to be evaluated is sufficient and the object to be evaluated is a multi-carrier fan, the electronic equipment reduces the carrier fan of the object to be evaluated until the object to be evaluated is a single carrier fan and/or the carrier information meets the service requirement information.
Specifically, in the current scenario, if the network capacity of the object to be evaluated cannot guarantee the service requirement of the user equipment, the network capacity expansion or service splitting can be performed on the object to be evaluated.
Correspondingly, if the network capacity of the object to be evaluated can ensure the service requirement of the user equipment, judging whether the object to be evaluated is a single carrier fan or not.
If the object to be evaluated is a single carrier fan, no operation needs to be performed.
If the object to be evaluated is a multi-carrier fan, the number of carrier fans can be removed, and whether the network capacity of the object to be evaluated can guarantee the service requirement of the user equipment can be evaluated again until the object to be evaluated is a single carrier fan, or the network capacity of the object to be evaluated cannot guarantee the service requirement of the user equipment.
The application provides a network capacity evaluation method which can determine service demand information of an object to be evaluated in a target time period. The target time period is used for representing a time period when the traffic of the object to be evaluated is larger than the preset traffic. Then, the bearing information of the object to be evaluated can be acquired. Subsequently, the network capacity of the object to be evaluated can be determined according to the service demand information and the bearing information. Therefore, the network capacity assessment method provided by the application can consider the actual capacity requirement from the aspects of the user angle, the user service behavior and the like, consider the instantaneous user situation with data transmission in parallel, consider the network resource configuration and the refinement of delivery, and improve the assessment accuracy of the network capacity.
The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware 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 application.
The embodiment of the present application may divide the functional modules of the network capacity assessment device according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiments of the present application is schematic, which is merely a logic function division, and other division manners may be actually implemented.
Fig. 6 is a schematic structural diagram of a network capacity assessment device according to an embodiment of the present application. The network capacity assessment apparatus may be used to perform the method of network capacity assessment shown in fig. 4-5. The network capacity assessment apparatus shown in fig. 6 includes: a processing unit 601 and an acquisition unit 602;
a processing unit 601, configured to determine service requirement information of an object to be evaluated in a target time period; the target time period is used for representing a time period when the traffic of the object to be evaluated is greater than the preset traffic;
an obtaining unit 602, configured to obtain bearer information of an object to be evaluated;
the processing unit 601 is further configured to determine a network capacity of the object to be evaluated according to the service requirement information and the bearer information.
Optionally, the processing unit 601 is specifically configured to:
acquiring the number of concurrent user equipment; the concurrent user equipment is user equipment which accesses the object to be evaluated and performs data transmission at the same time in a target time period;
acquiring service information of each concurrent user equipment;
and determining service demand information according to the number of concurrent user equipment and the service information.
Alternatively, when the object to be evaluated is an evaluation object in the high-speed rail area, the obtaining unit 602 is specifically configured to:
and when the high-speed rail exists in the high-speed rail area, determining the number of the user equipment which simultaneously performs data transmission in the high-speed rail area as the number of the concurrent user equipment.
Optionally, the processing unit 601 is further configured to:
when the network capacity of the object to be evaluated is insufficient, controlling the object to be evaluated to perform network capacity expansion and/or distributing the service borne by the object to be evaluated;
and when the network capacity of the object to be evaluated is sufficient and the object to be evaluated is a multi-carrier fan, reducing the carrier fan of the object to be evaluated until the object to be evaluated is a single carrier fan and/or the carrier information meets the service requirement information.
The present application also provides a computer-readable storage medium, which includes computer-executable instructions that, when executed on a computer, cause the computer to perform the network capacity assessment method provided in the above embodiments.
The embodiment of the present application also provides a computer program, which can be directly loaded into a memory and contains software codes, and the computer program can implement the network capacity assessment method provided in the above embodiment after being loaded and executed by a computer.
Those of skill in the art will appreciate that in one or more of the examples described above, the functions described herein may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units, for example, is merely a logical function division, and other manners of division are possible when actually implemented. For example, multiple units or components may be combined or may be integrated into another device, 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 an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. 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 each embodiment of the present application 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 integrated units may be implemented in hardware or in software functional units. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A network capacity assessment method, comprising:
determining service demand information of an object to be evaluated in a target time period; the target time period is used for representing a time period when the traffic of the object to be evaluated is greater than a preset traffic;
acquiring bearing information of the object to be evaluated;
and determining the network capacity of the object to be evaluated according to the service demand information and the bearing information.
2. The network capacity assessment method according to claim 1, wherein the determining the traffic demand information of the object to be assessed in the target period of time includes:
acquiring the number of concurrent user equipment; the concurrent user equipment is user equipment which accesses the object to be evaluated and performs data transmission at the same time in the target time period;
acquiring service information of each concurrent user equipment;
and determining the service requirement information according to the number of the concurrent user equipment and the service information.
3. The network capacity assessment method according to claim 1, wherein when the object to be assessed is an assessment object within a high-speed rail area, the obtaining the number of concurrent user devices includes:
and when the high-speed rail exists in the high-speed rail area, determining the number of the user equipment which simultaneously performs data transmission in the high-speed rail area as the number of the concurrent user equipment.
4. A network capacity assessment method according to any of claims 1-3, further comprising:
when the network capacity of the object to be evaluated is insufficient, controlling the object to be evaluated to perform network capacity expansion and/or shunting the service borne by the object to be evaluated;
and when the network capacity of the object to be evaluated is sufficient and the object to be evaluated is a multi-carrier fan, reducing the carrier fan of the object to be evaluated until the object to be evaluated is a single carrier fan and/or the carrier information meets the service requirement information.
5. A network capacity assessment apparatus, comprising: a processing unit and an acquisition unit;
the processing unit is used for determining service demand information of the object to be evaluated in a target time period; the target time period is used for representing a time period when the traffic of the object to be evaluated is greater than a preset traffic;
the acquisition unit is used for acquiring the bearing information of the object to be evaluated;
and the processing unit is further used for determining the network capacity of the object to be evaluated according to the service demand information and the bearing information.
6. The network capacity assessment device of claim 5, wherein the processing unit is specifically configured to:
acquiring the number of concurrent user equipment; the concurrent user equipment is user equipment which accesses the object to be evaluated and performs data transmission at the same time in the target time period;
acquiring service information of each concurrent user equipment;
and determining the service requirement information according to the number of the concurrent user equipment and the service information.
7. The network capacity assessment device according to claim 5, wherein when the object to be assessed is an assessment object within a high-speed rail area, the acquisition unit is specifically configured to:
and when the high-speed rail exists in the high-speed rail area, determining the number of the user equipment which simultaneously performs data transmission in the high-speed rail area as the number of the concurrent user equipment.
8. The network capacity assessment device of any one of claims 5-7, wherein the processing unit is further configured to:
when the network capacity of the object to be evaluated is insufficient, controlling the object to be evaluated to perform network capacity expansion and/or shunting the service borne by the object to be evaluated;
and when the network capacity of the object to be evaluated is sufficient and the object to be evaluated is a multi-carrier fan, reducing the carrier fan of the object to be evaluated until the object to be evaluated is a single carrier fan and/or the carrier information meets the service requirement information.
9. A network capacity assessment apparatus comprising a memory and a processor; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus; when the network capacity assessment apparatus is running, the processor executes the computer-executable instructions stored in the memory to cause the network capacity assessment apparatus to perform the network capacity assessment method according to any one of claims 1-4.
10. A computer readable storage medium comprising computer executable instructions which, when run on a computer, cause the computer to perform the network capacity assessment method according to any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310739343.9A CN116528281A (en) | 2023-06-20 | 2023-06-20 | Network capacity assessment method, device and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310739343.9A CN116528281A (en) | 2023-06-20 | 2023-06-20 | Network capacity assessment method, device and storage medium |
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| CN116528281A true CN116528281A (en) | 2023-08-01 |
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| CN202310739343.9A Pending CN116528281A (en) | 2023-06-20 | 2023-06-20 | Network capacity assessment method, device and storage medium |
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| Country | Link |
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| CN (1) | CN116528281A (en) |
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