CN112383936B - Method and device for evaluating number of accessible users - Google Patents
Method and device for evaluating number of accessible users Download PDFInfo
- Publication number
- CN112383936B CN112383936B CN202011360756.9A CN202011360756A CN112383936B CN 112383936 B CN112383936 B CN 112383936B CN 202011360756 A CN202011360756 A CN 202011360756A CN 112383936 B CN112383936 B CN 112383936B
- Authority
- CN
- China
- Prior art keywords
- deployed
- target
- service
- access network
- station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a method and a device for evaluating the number of accessible users, relates to the technical field of communication, and solves the problem of estimating service bearing capacity (the number of accessible users) of a base station bearing a plurality of different services in multiple scenes. Acquiring preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network equipment to be built; simulating according to preset simulation parameters, and determining the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene; according to the number of accessible users when the access network equipment to be built carries different services to be deployed in a target scene and the estimated parameters of each service to be deployed, determining the number of accessible users corresponding to each service to be deployed when the access network equipment to be built carries all the services to be deployed in the target scene at the same time.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating the number of accessible users.
Background
Currently, as a fifth Generation mobile communication technology (5 th-Generation, 5G) communication system that is in full coverage, three functions or services, that is, an Ultra-large bandwidth (eMBB (Enhanced Mobile Broadband)), a low latency high reliability service (Ultra-reliable and Low Latency Communications), and multiple access (mMTC (massive Machine Type of Communication)), respectively, are provided. The eMBB performs guarantee and performance enhancement of communication service through a large bandwidth and MU-User Multiple-Input Multiple-Output (MU-MIMO) technology, and is generally used for carrying services such as AR (Augmented Reality ), VR (Virtual Reality), high-definition video, high-definition live broadcast and the like; the uRLLC is used for guaranteeing the communication quality of the service with higher time delay requirement, such as remote operation and fine control; mctc is generated due to the requirement of massive user access capability, and is mainly used for solving the problem that the traditional mobile communication cannot well support the application of the internet of things and the vertical industry, and is mainly used for application scenes targeting sensing and data acquisition, such as smart cities, environment monitoring, smart home and forest fire prevention, and the like, and the scenes have the characteristics of small data packets, low power consumption, massive connection and the like.
In summary, the characteristics of these 3 kinds of services are different, and the three are not completely split, and some services may comprehensively require multiple characteristics. Therefore, for the development of 5G devices and services, the number of users allowed to access by each base station for different services cannot be estimated by simply neglecting the service types to complete network resource planning and configuration, so a method for estimating the service bearing capacity (number of users capable of accessing) of base stations bearing multiple different services in multiple scenarios is needed.
Disclosure of Invention
The invention provides a method and a device for evaluating the number of accessible users, which solve the problem of estimating the service bearing capacity (the number of accessible users) of a base station bearing a plurality of different services in multiple scenes.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for evaluating the number of accessible users, including: acquiring preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network equipment to be built; wherein the estimated parameters include at least: the bandwidth and the time delay are ensured; simulating according to preset simulation parameters, and determining the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene; the target scene is a scene corresponding to the coverage area of the base station to be deployed; according to the number of accessible users when the access network equipment to be built carries different services to be deployed in a target scene and the estimated parameters of each service to be deployed, determining the number of accessible users corresponding to each service to be deployed when the access network equipment to be built carries all the services to be deployed in the target scene at the same time.
As can be seen from the above, in the embodiment of the present application, first, a preset simulation parameter and an estimated parameter of each service to be deployed to be accessed in a device of a to-be-deployed access network are obtained for a case that a base station to be deployed is to deploy multiple different types of services to be deployed; then, simulation is carried out according to preset simulation parameters, and the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene is determined; finally, the number of accessible users corresponding to each service to be deployed when the access network device to be built simultaneously carries all the services to be deployed in the target scene can be determined according to the number of accessible users when the access network device to be built respectively carries different services to be deployed in the target scene and the estimated parameters of each service to be deployed. The whole technical scheme provided by the embodiment considers the bearing capacity of the base station to be deployed for bearing various services in a specific scene through simulation, and estimates the bearing capacity of the base station to be deployed by combining the estimation parameters of each scene to be deployed, which influence the bearing capacity of the base station to be deployed, so that the estimation of the bearing capacity (the number of accessible users) of the base station bearing various different services in multiple scenes is reasonably realized.
In a second aspect, the present invention provides an evaluation device for the number of accessible users, including: an acquisition unit and a processing unit.
Specifically, the acquiring unit is configured to acquire preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network device to be built. Wherein the estimated parameters include at least: the bandwidth and the time delay are ensured.
The processing unit is used for carrying out simulation according to the preset simulation parameters acquired by the acquisition unit, and determining the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene. The target scene is a scene corresponding to the coverage area of the base station to be deployed. The processing unit is further configured to determine, according to the number of accessible users when the access network device to be built carries different services to be deployed in the target scenario and the estimated parameters of each service to be deployed acquired by the acquiring unit, the number of accessible users corresponding to each service to be deployed when the access network device to be built carries all the services to be deployed in the target scenario.
In a third aspect, the present invention provides a server comprising: communication interface, processor, memory, bus; the memory is used for storing computer execution instructions, and the processor is connected with the memory through a bus. When the server is running, the processor executes computer-executable instructions stored in the memory to cause the server to perform the method of evaluating the number of accessible users as provided in the first aspect above.
In a fourth aspect, the present invention provides a computer-readable storage medium comprising instructions. The instructions, when executed on a computer, cause the computer to perform the method of evaluating the number of accessible users as provided in the first aspect above.
In a fifth aspect, the present invention provides a computer program product for, when run on a computer, causing the computer to perform the method of evaluating the number of accessible users as set forth in the first aspect.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on the first computer readable storage medium. The first computer readable storage medium may be packaged together with the processor of the user accessible evaluation device, or may be packaged separately from the processor of the user accessible evaluation device, which is not limited in the present invention.
The description of the second, third, fourth and fifth aspects of the present invention may refer to the detailed description of the first aspect; further, the advantageous effects described in the second aspect, the third aspect, the fourth aspect, and the fifth aspect may refer to the advantageous effect analysis of the first aspect, and are not described herein.
In the present invention, the names of the above-mentioned evaluation means of the number of accessible users do not constitute a limitation on the devices or function modules themselves, which may appear under other names in an actual implementation. Insofar as the function of each device or function module is similar to that of the present invention, it falls within the scope of the claims of the present invention and the equivalents thereof.
These and other aspects of the invention will be more readily apparent from the following description.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a simplified schematic diagram of a system architecture to which an evaluation method of the number of accessible users is applied according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an evaluation method of the number of accessible users according to an embodiment of the present invention;
fig. 3 is a second flow chart of a method for evaluating the number of accessible users according to an embodiment of the present invention;
fig. 4 is a third flow chart of a method for evaluating the number of accessible users according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a fitting curve of an evaluation method of the number of accessible users according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an evaluation device capable of accessing a user number according to an embodiment of the present invention;
FIG. 7 is a second schematic diagram of an evaluation device for accessing a user number according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a computer program product of an evaluation method of the number of accessible users according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described below with reference to the accompanying drawings.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the terms "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect, and those skilled in the art will understand that the terms "first", "second", etc. do not limit the number and execution order.
At present, due to different characteristics of various services of 5G, when the service bearing capacity of a base station to be deployed of 5G is estimated before the base station is deployed, the number of users which can be accessed by each base station for different services cannot be estimated by adopting a simple mode of neglecting service types. Therefore, a method for estimating the service carrying capacity (the number of accessible users) of a cell carrying multiple different services in multiple scenarios is needed.
In view of the above problems, an embodiment of the present application provides an evaluation method of the number of accessible users, where the method is applied to an evaluation device of the number of accessible users. The device can be a server of an operator to which the base station to be deployed belongs, or any other feasible device with processing computing capability.
Fig. 1 is a simplified schematic diagram of a system architecture to which the embodiment of the present invention may be applied, as shown in fig. 1, where the system architecture may include: an access network device 1, a terminal 2 and a server 3 are proposed. The terminal 2 accesses the service through the planned access network device 1, and the server 3 is used for acquiring a scene map and configuration parameters of the planned access network device 1 and a guarantee bandwidth of a preset service which can be initiated by the terminal 2.
The evaluation device of the number of accessible users in the embodiment of the present invention may be the server 3 shown in fig. 1, or may be a part of devices in the server 3. Such as a chip system in the server 3. The chip system is adapted to support the server 3 for the functions involved in implementing the first aspect and any one of its possible implementations. Such as: and acquiring a scene map and configuration parameters of the access network equipment 1 to be built, and guaranteeing the bandwidth of the preset service which can be initiated by the terminal 2. The chip system includes a chip, and may also include other discrete devices or circuit structures.
In the embodiment of the invention, the access network equipment to be built can be a base station or a base station controller for wireless communication, etc. In an embodiment of the present invention, the base station may be a global system for mobile communications (globalsystem for mobil ecommunication, GSM), a base station (basetransceiver station, BTS) in code division multiple access (code division multiple access, CDMA), a base station (node B, NB) in wideband code division multiple access (wideband code division multiple access, WCDMA), a base station (evolvedNode B, eNB) in long term evolution (Long Term Evolution, LTE), an eNB in the internet of things (internet of things, ioT) or narrowband internet of things (narrow band-internetof things, NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (public land mobile network, PLMN), which is not limited in this embodiment of the present invention.
The terminal is used for providing voice and/or data connectivity services to the user. The terminals may be variously named, for example, user Equipment (UE), access terminals, terminal units, terminal stations, mobile stations, remote terminals, mobile devices, wireless communication devices, vehicle user equipment, terminal agents or end devices, etc. Optionally, the terminal may be a handheld device, an in-vehicle device, a wearable device, or a computer with a communication function, which is not limited in any way in the embodiment of the present invention. For example, the handheld device may be a smart phone. The in-vehicle device may be an in-vehicle navigation system. The wearable device may be a smart bracelet. The computer may be a personal digital assistant (personal digital assistant, PDA) computer, a tablet computer, or a laptop computer (laptop computer).
The following describes the method for evaluating the number of accessible users provided in the embodiment of the present invention, taking the device for evaluating the number of accessible users as a server 3 and the device for planning access network as a planning base station in connection with the communication system shown in fig. 1.
As shown in fig. 2, the method for evaluating the number of accessible users includes the following steps S11-S13:
s11, the server 3 acquires the preset simulation parameters and the estimated parameters of each service to be deployed to be accessed in the access network equipment to be built. The scene simulation data are obtained by simulating a scene under the first mobile communication technology, wherein the scene comprises at least one of a dense urban area, a suburban area and an open area; the estimated parameters include at least: the bandwidth and the time delay are ensured.
For example, taking a certain class of service "real-time automation" in a certain enterprise-level (business to business, 2B) scenario as an example, the above-mentioned guaranteed bandwidth, delay and jitter values may be directly obtained by collecting service characteristic parameters of the existing real-time automation service, and specifically refer to the following table 1.
TABLE 1
The preset simulation parameters at least comprise: the service characteristic parameters of each service to be deployed, the carrier frequency point of the base station to be deployed, at least one station height and at least one station spacing; the station height is the base station height, and the station spacing is the distance between two connected base stations. Illustratively, the at least one station height includes three station heights of 15 meters, 20 meters, and 25 meters. At least one inter-station distance includes at least the following: in the case of a dense urban scenario, the inter-station distance may be between 300 meters and 400 meters (including 300 meters and 400 meters); in the case where the scene is an urban area (a general urban area), the inter-station distance may be between 500 meters and 600 meters (including 500 meters and 600 meters); in the case of suburban scenes, the inter-station distance may be between 700 meters and 800 meters (including 700 meters and 800 meters).
S12, the server 3 carries out simulation according to preset simulation parameters, and determines the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene. The target scene is a scene corresponding to the coverage area of the base station to be deployed.
S13, the server 3 determines the number of accessible users corresponding to each service to be deployed when the access network equipment to be built simultaneously carries all the services to be deployed in the target scene according to the number of accessible users when the access network equipment to be built respectively carries different services to be deployed in the target scene and the estimated parameters of each service to be deployed.
As can be seen from the above, in the embodiment of the present application, first, a preset simulation parameter and an estimated parameter of each service to be deployed to be accessed in a device of a to-be-deployed access network are obtained for a case that a base station to be deployed is to deploy multiple different types of services to be deployed; then, simulation is carried out according to preset simulation parameters, and the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene is determined; finally, the number of accessible users corresponding to each service to be deployed when the access network device to be built simultaneously carries all the services to be deployed in the target scene can be determined according to the number of accessible users when the access network device to be built respectively carries different services to be deployed in the target scene and the estimated parameters of each service to be deployed. The whole technical scheme provided by the embodiment considers the bearing capacity of the base station to be deployed for bearing various services in a specific scene through simulation, and estimates the bearing capacity of the base station to be deployed by combining the estimation parameters of each scene to be deployed, which influence the bearing capacity of the base station to be deployed, so that the estimation of the bearing capacity (the number of accessible users) of the base station bearing various different services in multiple scenes is reasonably realized.
In one embodiment, the preset simulation parameters at least include: the method comprises the steps of setting service characteristic parameters of each service to be deployed, carrier frequency points of base stations to be deployed, at least one station height and at least one station spacing; the station height is the base station height, and the station spacing is the distance between two connected base stations, in which case, as shown in fig. 3 in conjunction with fig. 2, S12 may be specifically implemented by S120 and S121 described below.
S120, the server 3 carries out simulation according to a preset simulation model and preset simulation parameters, and determines the target accessible user number when the target access network equipment only carries the target service to be deployed in a target scene by adopting the target station height and the target station spacing. The target station height is any one of at least one station height, the target station distance is any one of at least one station distance, and the target service to be deployed is any one of all the services to be deployed.
For example, a more important part in the preset simulation model is a path loss model, that is, loss in a service data transmission path is shown, taking three commonly used dense urban, urban and suburban scenes as an example, and the specific path loss model is shown in the following table 2:
TABLE 2
Wherein h is the height of the base station, h ut For the height of the user terminal, f c PL is carrier frequency point 0 And n is a distance coefficient.
S121, the server 3 determines the average value of all the target accessible user numbers corresponding to different station heights and different station distances as the accessible user number when the access network equipment is only loaded with the target service to be deployed in the target scene.
Specifically, the number of accessible users N for bearing T service in B scenario by the base station to be deployed B,T Specifically, the method can be obtained according to the following formula:
where h=1-n denotes that the station height takes each station height (n total), zj=1-K denotes that the inter-station distance takes each inter-station distance (K total).
By way of example, taking the target scene as a dense urban area, or a suburban area, or an open area as an example, the number of accessible users N when the base station to be deployed obtained by simulation only carries the target service to be deployed in the target scene is shown in the following table 3.
TABLE 3 Table 3
Wherein N is D，Tn The number of accessible users when the base station to be deployed only carries the service of the service class n in the scene of the dense urban area (D) is shown, and the rest is the same.
In an embodiment, in conjunction with fig. 2, as shown in fig. 4, S13 may be specifically implemented by S130 and S131 described below.
S130, the server 3 fits the number of accessible users and estimated parameters of each service to be deployed when the access network equipment to be built respectively bears different services to be deployed in the target scene, and a fitting curve corresponding to the target scene is determined. The fitting curve meets the corresponding relation among the accessible user number, the guaranteed bandwidth and the time delay.
Specifically, in practical application, the guaranteed bandwidth (T) is the uplink guaranteed rate (T U ) And a downstream guard rate (T D ) The calculation formula is as follows:
T＝max(log 10 (T U )，log 10 (T D ))；
T G ＝max(T U ，T D )。
wherein T represents the guaranteed bandwidth subjected to log (log), T G Representing the guaranteed bandwidth without log processing.
Specifically, it can be based on the number of accessible users N, T and T G And determining the guaranteed bandwidth (TG) correlation, the guaranteed bandwidth (T) correlation, the delay correlation and the jitter correlation. Wherein, the liquid crystal display device comprises a liquid crystal display device,
guaranteed bandwidth(TG) the degree of correlation satisfies:
guaranteeing that the correlation degree of the bandwidth (T) meets the following conditions:
the time delay correlation degree satisfies:
the jitter correlation degree satisfies:
wherein Corr TG Represents guaranteed bandwidth (TG) correlation, corr T Represents guaranteed bandwidth (T) correlation, corr Delay Representing the correlation of time delay, corr jitter Representing Jitter correlation, cov represents Covariance (Covariance), delay represents Delay, jitter represents Jitter, and D represents variance (variance).
Exemplary, in one instance, user number N, T and T may be accessed G The guaranteed bandwidth (TG) correlation, guaranteed bandwidth (T) correlation, delay correlation, and jitter correlation are determined as shown in table 4.
TABLE 4 Table 4
As can be seen from table 4, the guaranteed bandwidth (T G ) The correlation degree of the time delay and the jitter with the number of the access users is smaller than the correlation degree of the guaranteed bandwidth (T), the time delay and the jitter with the number of the access users. Therefore, the method for evaluating the number of accessible users provided by the embodiment of the invention adopts multiple linear regression (multivariable linear regression) to obtain the fitting curve.
Specifically, the obtaining of the fitting curve by using multiple linear regression includes: for the uplink guaranteed rate (T U ) And a downstream guard rate (T D ) Processing is carried out, and a guaranteed bandwidth T is determined; wherein the guaranteed bandwidth T is equal to max (log 10 (T U )，log 10 (T D )). And then, carrying out linear fitting on the guaranteed bandwidth T, the time delay and the jitter value, and determining a fitting curve.
Since the correlation between the delay and the jitter value is similar, the fitting curve is corrected by the jitter value when the fitting curve is determined by linear fitting.
For example, a fitting curve corresponding to the number of accessible users with a traffic class n in the urban area to be built is described as follows:
firstly, data screening is carried out on the accessible user number, the guaranteed bandwidth, the time delay and the jitter value according to Gaussian distribution, so that effective data with a confidence interval of 95% is obtained. The resulting 95% of the available data were then fitted according to a linear fit, resulting in a fitted curve as shown in fig. 5. Wherein, the fitting curve satisfies:
the accessible user number with the service class n in the dense urban area is represented, T represents the guaranteed bandwidth corresponding to the service class n in the dense urban area, delay represents the time delay corresponding to the service class n in the dense urban area, and p00, p10, p01, p20 and p11 are constants.
When calculating the curve fitting degree and root mean square error (root mean squared error, RMSE) for each fitted curve in fig. 5, it is determined that the curve fitting degree and RMSE of the fitted curve are both optimal when p00=79.72, p10= -139.9, p01= 0.5603, p20=55.8, and p11= -0.3637 of the fitted curve. Wherein, the curve fitting degree is 0.8918 and the RMSE is 20.
Specifically, jitter in fig. 5 represents a jitter value.
It should be noted that, the fitting curve corresponding to the number of accessible users with the traffic class n in the urban area and the fitting curve corresponding to the number of accessible users with the traffic class n in the suburban area are the same as the fitting curve corresponding to the number of accessible users with the traffic class n in the dense urban area, and are not repeated here.
S131, the server 3 determines the number of accessible users corresponding to each service to be deployed when the access network equipment to be built simultaneously carries all the services to be deployed in the target scene according to the fitting curve.
The foregoing description of the solution provided by the embodiments of the present invention 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 various illustrative elements and algorithm steps 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 invention.
According to the embodiment of the invention, the function modules of the evaluation device which can be accessed to the user number can be divided according to the method example, for example, each function module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present invention, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
Fig. 6 is a schematic structural diagram of an evaluation device 10 capable of accessing a user number according to an embodiment of the present invention. The user number accessible evaluation device 10 is configured to obtain preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network device to be built; simulating according to preset simulation parameters, and determining the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene; according to the number of accessible users when the access network equipment to be built carries different services to be deployed in a target scene and the estimated parameters of each service to be deployed, determining the number of accessible users corresponding to each service to be deployed when the access network equipment to be built carries all the services to be deployed in the target scene at the same time. The evaluation device 10 of the number of accessible users may comprise an acquisition unit 101 and a processing unit 102.
The acquiring unit 101 is configured to acquire preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network device to be built. For example, in connection with fig. 2, the acquisition unit 101 may be used to perform S11.
The processing unit 102 is configured to perform simulation according to the preset simulation parameters acquired by the acquiring unit 101, and determine the number of accessible users when the access network device is to be built to respectively carry different services to be deployed in the target scenario. The processing unit 102 is further configured to determine, according to the number of accessible users when the access network device is to be built and bear different services to be deployed in the target scenario and the estimated parameters of each service to be deployed acquired by the acquiring unit 101, the number of accessible users corresponding to each service to be deployed when the access network device is to be built and bear all the services to be deployed in the target scenario. For example, in connection with fig. 2, the processing unit 102 may be used to perform S12 and S13. In connection with fig. 3, the processing unit 102 may be configured to perform S120 and S121. In connection with fig. 4, the processing unit 102 may be configured to perform S130 and S131.
All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, and their effects are not described herein.
Of course, the evaluation device 10 for the number of accessible users provided in the embodiment of the present invention includes, but is not limited to, the above modules, for example, the evaluation device 10 for the number of accessible users may further include a storage unit 103. The storage unit 103 may be used for storing program code of the evaluation device 10 of the number of write-accessible users, and may also be used for storing data generated during operation of the evaluation device 10 of the number of write-accessible users, such as data in a write request or the like.
Fig. 7 is a schematic structural diagram of an evaluation device 10 for the number of accessible users according to an embodiment of the present invention, and as shown in fig. 7, the evaluation device 10 for the number of accessible users may include: at least one processor 51, a memory 52, a communication interface 53 and a communication bus 54.
The following describes the components of the user accessible evaluation device 10 in detail with reference to fig. 7:
the processor 51 is a control center of the user-accessible evaluation device 10, and may be one processor or a plurality of processing elements. For example, processor 51 is a central processing unit (Central Processing Unit, CPU), but may also be an integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present invention, such as: one or more DSPs, or one or more field programmable gate arrays (Field Programmable Gate Array, FPGAs).
In a particular implementation, processor 51 may include one or more CPUs, such as CPU0 and CPU1 shown in FIG. 7, as an example. Also, as an embodiment, the evaluation device 10 of the number of accessible users may include a plurality of processors, such as the processor 51 and the processor 55. Each of these processors may be a Single-core processor (Single-CPU) or a Multi-core processor (Multi-CPU). A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The Memory 52 may be, but is not limited to, a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (Random Access Memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a compact disc (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 52 may be stand alone and be coupled to the processor 51 via a communication bus 54. Memory 52 may also be integrated with processor 51.
In a specific implementation, the memory 52 is used to store data in the present invention and to execute software programs of the present invention. The processor 51 may perform various functions of the air conditioner by running or executing a software program stored in the memory 52 and calling data stored in the memory 52.
The communication interface 53 uses any transceiver-like means for communicating with other devices or communication networks, such as a radio access network (Radio Access Network, RAN), a wireless local area network (Wireless Local Area Networks, WLAN), a terminal, a cloud, etc. The communication interface 53 may include an acquisition unit to implement a reception function.
The communication bus 54 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. 7, but not only one bus or one type of bus.
As an example, in connection with fig. 6, the acquisition unit 101 in the user accessible evaluation device 10 implements the same function as the communication interface 53 in fig. 7, the processing unit 102 implements the same function as the processor 51 in fig. 7, and the storage unit 103 implements the same function as the memory 52 in fig. 7.
Another embodiment of the present invention also provides a computer-readable storage medium having stored therein instructions which, when executed on a computer, cause the computer to perform the method shown in the above-described method embodiment.
In some embodiments, the disclosed methods may be implemented as computer program instructions encoded on a computer-readable storage medium in a machine-readable format or encoded on other non-transitory media or articles of manufacture.
Fig. 8 schematically illustrates a conceptual partial view of a computer program product comprising a computer program for executing a computer process on a computing device, provided by an embodiment of the invention.
In one embodiment, a computer program product is provided using signal bearing medium 410. The signal bearing medium 410 may include one or more program instructions that when executed by one or more processors may provide the functionality or portions of the functionality described above with respect to fig. 2. Thus, for example, referring to the embodiment shown in FIG. 2, one or more features of S11-S13 may be carried by one or more instructions associated with signal bearing medium 410. Further, the program instructions in fig. 8 also describe example instructions.
In some examples, signal bearing medium 410 may comprise a computer readable medium 411 such as, but not limited to, a hard disk drive, compact Disk (CD), digital Video Disk (DVD), digital tape, memory, read-only memory (ROM), or random access memory (random access memory, RAM), among others.
In some implementations, the signal bearing medium 410 may include a computer recordable medium 412 such as, but not limited to, memory, read/write (R/W) CD, R/W DVD, and the like.
In some implementations, the signal bearing medium 410 may include a communication medium 413 such as, but not limited to, a digital and/or analog communication medium (e.g., fiber optic cable, waveguide, wired communications link, wireless communications link, etc.).
The signal bearing medium 410 may be conveyed by a communication medium 413 in wireless form (e.g., a wireless communication medium conforming to the IEEE802.41 standard or other transmission protocol). The one or more program instructions may be, for example, computer-executable instructions or logic-implemented instructions.
In some examples, a data-writing apparatus such as described with respect to fig. 2 may be configured to provide various operations, functions, or actions in response to program instructions through one or more of computer-readable medium 411, computer-recordable medium 412, and/or communication medium 413.
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 by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, 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 displayed 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 the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The 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 invention 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 method described in the embodiments of the present invention. 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 illustrative of specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. An evaluation method for the number of accessible users, comprising:
acquiring preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network equipment to be built; wherein, the preset simulation parameters at least comprise: each service characteristic parameter of the service to be deployed, a carrier frequency point of the base station to be deployed, at least one station height and at least one station spacing; the station height is the base station height, and the station distance is the distance between two connected base stations; the estimation parameters at least comprise: the bandwidth and the time delay are ensured;
according to a preset simulation model and the preset simulation parameters, the target accessible user number when the target access network equipment only carries the target service to be deployed in a target scene by adopting the target station height and the target station spacing is determined; the target station height is any one of the at least one station height, the target station spacing is any one of the at least one station spacing, and the target service to be deployed is any one of all the services to be deployed; the target scene is a scene corresponding to a coverage area of the base station to be deployed;
determining the average value of all the target accessible user numbers corresponding to different station heights and different station distances as the accessible user number when the target service to be deployed is only borne by the access network equipment under the target scene;
and determining the number of accessible users corresponding to each service to be deployed when the access network equipment to be built simultaneously carries all the services to be deployed in the target scene according to the number of accessible users when the access network equipment to be built respectively carries different services to be deployed in the target scene and the estimated parameters of each service to be deployed.
2. The method for evaluating the number of accessible users according to claim 1, wherein determining the number of accessible users corresponding to each service to be deployed when the access network device to be built simultaneously carries all the services to be deployed in the target scene according to the number of accessible users when the access network device to be built respectively carries different services to be deployed in the target scene and the estimated parameters of each service to be deployed, comprises:
fitting the number of accessible users when the access network equipment to be built respectively bear different services to be deployed in a target scene and the estimated parameters of each service to be deployed, and determining a fitting curve corresponding to the target scene; the fitting curve meets the corresponding relation among the number of accessible users, the guaranteed bandwidth and the time delay;
and determining the number of accessible users corresponding to each service to be deployed when the access network equipment to be built simultaneously carries all the services to be deployed in a target scene according to the fitting curve.
3. An access network device, comprising:
the acquisition unit is used for acquiring preset simulation parameters and estimated parameters of each service to be deployed to be accessed in the access network equipment to be built; wherein, the preset simulation parameters at least comprise: each service characteristic parameter of the service to be deployed, a carrier frequency point of the base station to be deployed, at least one station height and at least one station spacing; the station height is the base station height, and the station distance is the distance between two connected base stations; the estimation parameters at least comprise: the bandwidth and the time delay are ensured;
the processing unit is used for carrying out simulation according to a preset simulation model and the preset simulation parameters, and determining the target accessible user number when the target access network equipment adopts the target station height and the target station spacing to only bear the target service to be deployed in a target scene; the target station height is any one of the at least one station height, the target station spacing is any one of the at least one station spacing, and the target service to be deployed is any one of all the services to be deployed; the target scene is a scene corresponding to a coverage area of the base station to be deployed;
the processing unit is further used for determining an average value of all the target accessible user numbers corresponding to different station heights and different station distances as the accessible user number when the to-be-built access network equipment only carries the target service to be deployed in a target scene;
the processing unit is further configured to determine, according to the number of accessible users when the access network device to be built carries different services to be deployed in the target scenario and the estimated parameters of each service to be deployed acquired by the acquiring unit, the number of accessible users corresponding to each service to be deployed when the access network device to be built carries all the services to be deployed in the target scenario.
4. The access network device according to claim 3, wherein the processing unit is specifically configured to fit a number of accessible users when the access network device to be built carries different services to be deployed in a target scene and the estimated parameters of each service to be deployed acquired by the acquiring unit, so as to determine a fitting curve corresponding to the target scene; the fitting curve meets the corresponding relation among the number of accessible users, the guaranteed bandwidth and the time delay;
the processing unit is specifically configured to determine, according to the fitted curve, the number of accessible users corresponding to each service to be deployed when the access network device to be built carries all the services to be deployed at the same time in a target scenario.
5. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of evaluating the number of accessible users as claimed in any of the preceding claims 1-2.
6. A server, comprising: communication interface, processor, memory, bus;
the memory is used for storing computer execution instructions, and the processor is connected with the memory through the bus;
when the server is running, the processor executes the computer-executable instructions stored in the memory to cause the server to perform the method of evaluating the number of accessible users as claimed in any one of claims 1-2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011360756.9A CN112383936B (en) | 2020-11-27 | 2020-11-27 | Method and device for evaluating number of accessible users |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011360756.9A CN112383936B (en) | 2020-11-27 | 2020-11-27 | Method and device for evaluating number of accessible users |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112383936A CN112383936A (en) | 2021-02-19 |
| CN112383936B true CN112383936B (en) | 2023-05-26 |
Family
ID=74588464
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011360756.9A Active CN112383936B (en) | 2020-11-27 | 2020-11-27 | Method and device for evaluating number of accessible users |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112383936B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113094115B (en) * | 2021-03-29 | 2023-05-02 | 联想(北京)有限公司 | Deployment strategy determining method, system and storage medium |
| CN113676377B (en) * | 2021-08-20 | 2022-06-21 | 平安国际智慧城市科技股份有限公司 | Online user number evaluation method, device, equipment and medium based on big data |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101132226A (en) * | 2006-08-21 | 2008-02-27 | 大唐移动通信设备有限公司 | Method for implementing base station ascending synchronous adjustment |
| CN101155093A (en) * | 2006-09-30 | 2008-04-02 | 华为技术有限公司 | Band width distribution method and device for wireless communication network |
| CN101594322A (en) * | 2008-05-30 | 2009-12-02 | 大唐移动通信设备有限公司 | Multi-antenna channel estimation method and device and relevant base station system |
| CN101662824A (en) * | 2009-09-11 | 2010-03-03 | 北京邮电大学 | Synergistic multi-point system, user equipment and uplink power control method |
| CN102083138A (en) * | 2011-01-14 | 2011-06-01 | 北京邮电大学 | Method for simultaneously multiplexing multiple cellular user resources by D2D (Device-to-Device) user pair |
| CN102238734A (en) * | 2010-05-05 | 2011-11-09 | 鼎桥通信技术有限公司 | Dynamic channel configuration method |
| CN102665258A (en) * | 2012-04-13 | 2012-09-12 | 北京邮电大学 | Energy saving method in cellular system on basis of coordination control of base station |
| CN102711129A (en) * | 2012-06-13 | 2012-10-03 | 中兴通讯股份有限公司 | Method and device for determining network planning parameter |
| WO2013015727A1 (en) * | 2011-07-25 | 2013-01-31 | Telefonaktiebolaget Lm Ericsson (Publ) | Radio base station, method in a radio base station, relay station and method in a relay station |
| CN104243373A (en) * | 2013-06-09 | 2014-12-24 | 大唐联诚信息系统技术有限公司 | Interference detection method and device in multiuser nonsynchronous arrival scene |
| CN106161102A (en) * | 2016-08-12 | 2016-11-23 | 李纯雅 | A kind of IP RAN network optimization emulation mode and system |
| CN107277858A (en) * | 2017-07-20 | 2017-10-20 | 西安电子科技大学 | A kind of 5G network architectures of multi-channel transmission based on SDN and the method for transmitting data |
| CN109004968A (en) * | 2018-08-01 | 2018-12-14 | 内蒙古大学 | The determination method and device of parameter value when efficiency is optimal in heterogeneous network |
| CN111787571A (en) * | 2020-06-29 | 2020-10-16 | 中国电子科技集团公司第七研究所 | Joint optimization method for network user association and resource allocation |
| CN111818588A (en) * | 2020-07-30 | 2020-10-23 | 中国联合网络通信集团有限公司 | User access method and access network equipment |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2411555A (en) * | 2004-02-27 | 2005-08-31 | Toshiba Res Europ Ltd | CDMA system with 2D spreading where the spreading codes/factors depend upon the number of active users |
| US20120202512A1 (en) * | 2011-02-04 | 2012-08-09 | Richard Neil Braithwaite | Data throughput for cell-edge users in a lte network using alternative power control for up-link harq relays |
-
2020
- 2020-11-27 CN CN202011360756.9A patent/CN112383936B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101132226A (en) * | 2006-08-21 | 2008-02-27 | 大唐移动通信设备有限公司 | Method for implementing base station ascending synchronous adjustment |
| CN101155093A (en) * | 2006-09-30 | 2008-04-02 | 华为技术有限公司 | Band width distribution method and device for wireless communication network |
| CN101594322A (en) * | 2008-05-30 | 2009-12-02 | 大唐移动通信设备有限公司 | Multi-antenna channel estimation method and device and relevant base station system |
| CN101662824A (en) * | 2009-09-11 | 2010-03-03 | 北京邮电大学 | Synergistic multi-point system, user equipment and uplink power control method |
| CN102238734A (en) * | 2010-05-05 | 2011-11-09 | 鼎桥通信技术有限公司 | Dynamic channel configuration method |
| CN102083138A (en) * | 2011-01-14 | 2011-06-01 | 北京邮电大学 | Method for simultaneously multiplexing multiple cellular user resources by D2D (Device-to-Device) user pair |
| WO2013015727A1 (en) * | 2011-07-25 | 2013-01-31 | Telefonaktiebolaget Lm Ericsson (Publ) | Radio base station, method in a radio base station, relay station and method in a relay station |
| EP2737750A1 (en) * | 2011-07-25 | 2014-06-04 | Telefonaktiebolaget LM Ericsson (PUBL) | Radio base station, method in a radio base station, relay station and method in a relay station |
| CN102665258A (en) * | 2012-04-13 | 2012-09-12 | 北京邮电大学 | Energy saving method in cellular system on basis of coordination control of base station |
| CN102711129A (en) * | 2012-06-13 | 2012-10-03 | 中兴通讯股份有限公司 | Method and device for determining network planning parameter |
| CN104243373A (en) * | 2013-06-09 | 2014-12-24 | 大唐联诚信息系统技术有限公司 | Interference detection method and device in multiuser nonsynchronous arrival scene |
| CN106161102A (en) * | 2016-08-12 | 2016-11-23 | 李纯雅 | A kind of IP RAN network optimization emulation mode and system |
| CN107277858A (en) * | 2017-07-20 | 2017-10-20 | 西安电子科技大学 | A kind of 5G network architectures of multi-channel transmission based on SDN and the method for transmitting data |
| CN109004968A (en) * | 2018-08-01 | 2018-12-14 | 内蒙古大学 | The determination method and device of parameter value when efficiency is optimal in heterogeneous network |
| CN111787571A (en) * | 2020-06-29 | 2020-10-16 | 中国电子科技集团公司第七研究所 | Joint optimization method for network user association and resource allocation |
| CN111818588A (en) * | 2020-07-30 | 2020-10-23 | 中国联合网络通信集团有限公司 | User access method and access network equipment |
Non-Patent Citations (3)
| Title |
|---|
| A_study_on_single-cell_point-to-multipoint_transmission_for_public_safety_communications_with_eMBMS_LTE_networks;David Navr´atil;《IEEE XPLORE》;全文 * |
| ZTE.R1-084617 "A system simulation study of downlink L2 relay network".3GPP tsg_ran\WG1_RL1.2008,(第TSGR1_55期),全文. * |
| 智能无线通信技术研究概况;梁应敞;《中国优秀硕士学位论文全文数据库（电子期刊）信息科技辑》;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112383936A (en) | 2021-02-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112333753B (en) | Method and device for evaluating number of accessible users | |
| CN112383936B (en) | Method and device for evaluating number of accessible users | |
| CN112333755B (en) | Method and device for estimating number of accessible users of base station to be deployed | |
| CN113923614B (en) | Data transmission method, access network equipment, control plane network element and user plane network element | |
| CN111669776B (en) | Edge rate determining method and device | |
| EP3185597A1 (en) | Method, base station, and terminal for wireless link processing | |
| CN112333754B (en) | Method and device for estimating number of accessible users | |
| CN112584422B (en) | Method and device for acquiring performance of 5G terminal | |
| CN114070895B (en) | Data transmission method, control plane network element and user plane network element | |
| CN111542082B (en) | Method and device for determining coverage rate of downlink edge | |
| JP6480042B1 (en) | Information processing apparatus and program | |
| CN112738815B (en) | Method and device for evaluating number of accessible users | |
| CN112243258B (en) | Method and device for determining user perception rate | |
| CN111586733B (en) | Edge rate determining method and device | |
| CN112153679B (en) | Network switching method and device | |
| CN112312448B (en) | Method and device for evaluating RRC connection number | |
| CN112367679B (en) | Method and device for evaluating number of accessible users | |
| CN111669773B (en) | Method and device for calculating edge rate | |
| CN112584416B (en) | Method and device for evaluating number of accessible users | |
| CN114051233B (en) | Data transmission method, access network equipment, control plane network element and user plane network element | |
| CN111615114B (en) | Edge coverage rate determining method and device | |
| CN111669763B (en) | Method and device for determining station spacing | |
| CN111669762B (en) | Method and device for determining station spacing | |
| CN112291753B (en) | QOS parameter calculation method and access network equipment | |
| CN111614417B (en) | Method and device for determining signal-to-interference-plus-noise ratio |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |