CN111542082B

CN111542082B - Method and device for determining coverage rate of downlink edge

Info

Publication number: CN111542082B
Application number: CN202010443842.XA
Authority: CN
Inventors: 杨艳; 朱常波; 冯毅; 张涛; 郭希蕊
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2020-05-22
Filing date: 2020-05-22
Publication date: 2023-06-30
Anticipated expiration: 2040-05-22
Also published as: CN111542082A

Abstract

The invention provides a method and a device for determining downlink edge coverage rate, relates to the technical field of communication, and solves the problem of how to calculate the downlink edge coverage rate of a newly built base station. Acquiring the downlink edge rate of a rated Packet Data Convergence Protocol (PDCP) layer of access network equipment to be built; simulating access network equipment to be built, and determining a predicted signal-to-interference-plus-noise ratio (SINR); determining the downlink edge coverage rate of the access network equipment to be built according to a predetermined preset formula, a predicted SINR and the downlink edge rate of a rated PDCP layer; the preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer.

Description

Method and device for determining coverage rate of downlink edge

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for determining coverage of a downlink edge.

Background

With the abundance of wireless communication service types and the reduction of tariffs in recent years, the wireless communication demands of users are rapidly increasing. In this case, the load-bearing capacity of the existing base station is far from meeting the demands of users, and the improvement of the network load-bearing capacity by newly-built base stations becomes a main means of wireless communication network construction.

At present, the downlink edge coverage rate of a newly built base station is mainly configured manually, and an engineer is required to configure the downlink edge coverage rate according to personal experience in a manual configuration scheme, so that the accuracy of the actual downlink edge coverage rate of the newly built base station cannot be ensured.

Disclosure of Invention

The invention provides a method and a device for determining downlink edge coverage rate, which solve the problem of how to calculate the downlink edge coverage rate of a newly built base station.

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 determining a downlink edge coverage, when a downlink edge rate of a PDCP layer of a to-be-built access network device is obtained, by simulating the to-be-built access network device, a predicted signal to interference plus noise ratio SINR of the to-be-built access network device is determined. And then, determining the downlink edge coverage rate of the access network equipment to be built according to a predetermined preset formula, the predicted SINR and the downlink edge rate of the rated PDCP layer. The preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer.

As can be seen from the above, in the method for determining the coverage rate of the downlink edge provided by the present invention, the preset formula including the correspondence relationship among the downlink edge rate, SINR and the coverage rate of the downlink edge of the PDCP layer is determined in advance. Therefore, when the access network equipment to be built is the base station to be built, the operator needs to determine the downlink edge coverage rate of the base station to be built, and according to the preset formula, the predicted SINR and the downlink edge rate of the rated PDCP layer acquired from the base station to be built, the downlink edge coverage rate of the base station to be built can be determined, so that the configuration of the downlink edge coverage rate according to personal experience is not needed, and the problem of how to calculate the downlink edge coverage rate of the newly built base station is solved.

In a second aspect, the present invention provides a device for determining coverage rate of a downlink edge, including: an acquisition unit and a processing unit.

Specifically, the acquiring unit is configured to acquire a downlink edge rate of a PDCP layer of a rated packet data convergence protocol of the access network device to be built.

The processing unit is used for simulating the access network equipment to be built and determining the predicted signal-to-interference-plus-noise ratio SINR;

the processing unit is further configured to determine a downlink edge coverage rate of the access network device to be built according to a predetermined preset formula, the predicted SINR, and the nominal downlink edge rate of the PDCP layer acquired by the acquiring unit. The preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer.

In a third aspect, the present invention provides a device for determining coverage rate of a downlink edge, including: 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 determining device of the coverage rate of the downlink edge is operated, the processor executes the computer-executable instructions stored in the memory, so that the determining device of the coverage rate of the downlink edge performs the determining method of the coverage rate of the downlink edge provided in the first aspect.

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 determining downlink edge coverage 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 for determining the coverage of a downlink edge according to the design of 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 downlink edge coverage rate determining device, or may be packaged separately from the processor of the downlink edge coverage rate determining 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-described downstream edge coverage determination means 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. 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 communication system to which a method for determining coverage rate of a downlink edge is applied according to an embodiment of the present invention;

fig. 2 is a flow chart of a method for determining coverage rate of a downlink edge according to an embodiment of the present invention;

FIG. 3 is a second flowchart of a method for determining coverage of a downlink edge according to an embodiment of the present invention;

FIG. 4 is a third flow chart of a method for determining coverage of a downlink edge according to an embodiment of the present invention;

fig. 5 is a fitting curve of a received power formula in the method for determining the coverage rate of a downlink edge according to the embodiment of the present invention;

fig. 6 is a schematic structural diagram of a device for determining coverage rate of a downlink edge according to an embodiment of the present invention;

FIG. 7 is a second schematic structural diagram of a determining device for downlink edge coverage according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of a computer program product of a method for determining coverage of a downlink edge 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.

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:

the method for determining the coverage rate of the downlink edge provided by the embodiment of the invention is suitable for the base station and the terminal shown in the figure 1. Wherein, the base station transmits data through k transmission links when Transmitting (TX) information; when the kth transmission link transmits information, firstly, according to a symbol (symbol) carried on a base station (subband) k (the symbol refers to information to be transmitted by a base station), then, performing inverse fast fourier transform (Inverse Fast Fourier Transform, IFFT) on the symbol according to a carrier interval (subcarrier spacing) k to obtain a signal k, further adding (add) cyclic redundancy (CP) k to the signal k, and then, performing signal processing on the signal k added with the CPk through a beamforming filter (spectrum shaping filter), thereby obtaining a signal k after beamforming of the kth transmission link. And finally, carrying out beam integration on the signal k subjected to beam forming by each transmission link, and sending the signal subjected to beam integration to a signal receiving end through an antenna, so that information transmission is realized.

When a terminal Receives (RX) a symbol carried on a sub-base k transmitted from a base station through an antenna, the symbol is first subjected to signal processing through an shaping filter to obtain a processed signal, then CP of the signal is removed, then fast fourier transform (Fast Fourier Transformation, FFT) is performed on the signal with CP removed according to a carrier interval k, and then orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) detection is performed on a sub-base i of the signal subjected to FFT signal processing, so that the symbol carried on the sub-base k transmitted by the antenna receiving base station is converted into a signal identifiable to the terminal. In the embodiment of the present invention, the device for determining the signal-to-interference-plus-noise ratio may be a base station or a base station controller for wireless communication.

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 codedivision 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).

With the continuous increase of the service demands of users, the types and edge rates of the services are increased or increased to different extents, and the service demands of the fifth generation mobile communication technology (5 th-generation, 5G) are taken as an example for illustration.

According to different edge rate requirements, the following 3 service types can be classified.

The first type of service is mainly some common services, including instant messaging, web browsing, social media, file transmission, remote desktop, online games, high-definition video and other services. The requirements of services such as instant messaging, web browsing, social media, file transmission, remote desktop, online games, high-definition video and the like on the downlink edge rate and the downlink edge rate are shown in table 1.

TABLE 1

The second type of service is 4K, 8K high definition video and the like uploading or downloading type of service. The requirements of the 4K and 8K high-definition video and other uploading or downloading services on the downlink edge rate are shown in table 2.

TABLE 2

The third type of service is services such as Virtual Reality (VR) (8 k), high-definition map downloading, and the like. The requirements of services such as VR (8 k) high-definition map downloading on the downlink edge rate are shown in table 3.

TABLE 3 Table 3

As can be seen from the above, with the richness of wireless communication service types and the decrease of tariffs, the wireless communication demands of users are rapidly increased, and when the network bearing capacity is improved by newly creating a base station, the coverage rate of the downlink edge is configured by means of personal experience, so that the accuracy of the coverage rate of the downlink edge cannot be ensured. Therefore, the embodiment of the invention provides a method for determining the coverage rate of a downlink edge, which is used for describing how to calculate the coverage rate of the downlink edge in detail.

Specifically, as shown in fig. 2, taking the to-be-built access network device as a to-be-built base station and the built access network device as a built base station as an example, the method may include the following steps S11 to S13:

s11, acquiring the downlink edge rate of a rated packet data convergence protocol (packet data convergence protocol, PDCP) layer of the base station to be built.

Specifically, in practical application, when the operator is waiting for the base station to be built, determining the downlink edge rate of the rated PDCP layer according to the service type initiated by the target terminal and the requirement of the downlink edge rate of the PDCP layer corresponding to each service type.

Illustratively, when the type of service initiated by the test terminal is a video session, it can be seen from table 1 that the downlink edge rate of the preset PDCP layer is 256kbps.

Illustratively, the downlink edge rate of the rated PDCP layer is the largest downlink edge rate of the downlink edge rates of PDCP layers corresponding to the service type initiated by the user in the base station to be built.

S12, simulating the base station to be built, and determining the predicted signal-to-interference plus noise ratio (signal to interference plus noise ratio, SINR).

Specifically, in order to determine that the base station to be built can provide service guarantee for each user in the coverage area after deployment, planning simulation is required at this time according to the environment where the base station to be built is located, that is, according to a scene map (for example, a three-dimensional (3D) map or a planning map) of the coverage area of the base station to be built and base station parameters of the base station to be built, simulation is performed, so as to obtain the predicted SINR of the base station to be built.

Taking an application scenario of a base station to be built as an example, a predicted SINR of the base station to be built is obtained, including:

1. and importing a scene map, a planned high-speed railway line condition and base station parameters of the base station to be built by using planning software. Wherein, the base station parameters comprise information such as station address, station height, station spacing and the like,

2. the simulation model is set according to a high-speed railway acquisition channel model in the third generation partnership project (English full name: 3rd Generation Partnership Project, short for 3 GPP).

3. And performing movement simulation of a single user according to the movement speed being greater than or equal to 250km/h, obtaining the SINR of each simulation, and recording (s, C, h, d, num, v, SINR). And (3) injection: s is the equipment type, C is the channel model, h is the station height, d is the station spacing, num is the number of the user, v is the moving rate of the user, and SINR is the SINR value of the user.

When user point scattering simulation is performed, each user corresponds to one target terminal.

S13, determining the coverage rate of the downlink edge of the base station to be built according to a predetermined preset formula, the predicted SINR and the downlink edge rate of the rated PDCP layer. The preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer.

Specifically, according to the method for determining the coverage rate of the downlink edge provided by the embodiment of the invention, network data acquired by the target terminals in the coverage area of at least one established base station are acquired, so that a preset formula is determined according to SINR (signal to interference plus noise ratio) of all the target terminals and the downlink edge rate of the PDCP layer. The method for determining the coverage rate of the downlink edge provided by the embodiment of the invention further comprises the following steps:

s14, acquiring network data acquired by at least one target terminal. The network data comprises the downlink edge rate of the PDCP layer of the target terminal and the SINR of the target terminal, the target terminal is positioned in the coverage area of the established base station, and the moving rate of the target terminal is larger than the preset rate.

Specifically, in the method for determining the coverage rate of the downlink edge provided by the embodiment of the invention, the users are classified according to the moving rate. Therefore, when the preset speed is 250km/h, the target terminal with the moving speed greater than 250km/h can be screened, so that network data collected by the target terminal on the high-speed rail train can be determined.

Specifically, in order to ensure the accuracy of the preset formula, network data collected by the target terminals in the coverage area of the plurality of established base stations can be acquired, so that the accuracy of the downlink edge coverage rate determined according to the preset formula is ensured.

It should be noted that, when the number of established base stations is fixed and the number of target terminals in the coverage area of each established base station is greater, the determined preset formula is more consistent with the actual distribution, that is, the operator can accurately determine the coverage rate of the downlink edge of the base station to be established according to the preset formula.

When the number of target terminals in the coverage area of each established base station is fixed and the number of established base stations is larger, the determined preset formula is more in accordance with actual distribution, namely, an operator can accurately determine the coverage rate of the downlink edge of the base station to be established according to the preset formula.

S15, determining a preset formula according to SINR of each target terminal in at least one target terminal and the downlink edge rate of the PDCP layer.

Specifically, in practical application, network data collected by each target terminal in each built base station is collected, and the network data is screened according to a moving rate greater than or equal to a preset rate (for example, the preset rate is 250 km/h), so that the network data collected by the target terminal on the high-speed rail train is screened.

Specifically, the correspondence between the SINR of the target terminal and the downlink edge rate of the PDCP layer of the target terminal in the network data collected by each target terminal is shown in table 4.

TABLE 4 Table 4

Target terminal number	RSRP	Downstream edge rate of PDCP layer
			Target terminal 1	-90dB	5Mbit/s
Target terminal 2	-110dB	2Mbit/s
			Target terminal N	-88dB	10Mbit/s

Specifically, S15 includes:

s150, determining a first probability and a second probability according to SINR of each target terminal in at least one target terminal and the downlink edge rate of the PDCP layer. Wherein, the liquid crystal display device comprises a liquid crystal display device,

p1 represents a first probability, P2 represents a second probability, N1 represents a total number of target terminals in which SINR is greater than a specified threshold among at least one target terminal, and a downlink edge rate of the PDCP layer is greater than an uplink rate threshold, N2 represents a total number of target terminals, and N3 represents a total number of target terminals in which SINR is greater than a specified threshold among at least one target terminal.

S151, determining the coverage rate of the downlink edge according to the first probability and the second probability. Wherein, the liquid crystal display device comprises a liquid crystal display device,

P _DL representing the downlink edge coverage.

And S152, fitting the downlink edge coverage rate, the SINR of each target terminal in at least one target terminal and the downlink edge rate of the PDCP layer to determine a preset formula. Wherein the preset formula satisfies

Indicating the downlink edge rate of the PDCP layer, p00, p01, p10, p11, and p20 are constants.

Illustratively, the correspondence among the downlink edge rate, SINR, and downlink edge coverage of the PDCP layer is shown in table 5.

TABLE 5

Specifically, in practical application, after obtaining the preset formula, the operator may determine the coverage rate of the downlink edge of the base station to be built according to the preset formula, the predicted SINR and the nominal downlink edge rate of the PDCP layer.

Specifically, according to the linear fitting, any one of the exponential fitting and the polynomial fitting fits three of the downlink edge coverage rate, the SINR of each target terminal in at least one target terminal and the downlink edge rate of the PDCP layer, and a preset formula is determined.

By way of example, the data screening is performed according to gaussian distribution by fitting the downlink edge coverage, SINR of each target terminal in at least one target terminal, and downlink edge rate of the PDCP layer, so as to obtain effective data with a confidence interval of 95%. Then, fitting is performed on the obtained 95% of effective data according to polynomial fitting, so as to obtain a fitting curve of a preset formula shown in fig. 5. Where sinr_dl represents SINR of the target terminal, DL represents a downlink edge rate of the PDCP layer of the target terminal, and pdl_sinr represents a downlink edge coverage rate.

The range of values of p00, p01, p10, p11 and p20 of the fitting curve of each preset formula in fig. 5 is as follows:

p00∈[0.8218，0.8781]，p01∈[-0.01012，-0.008606]，p10∈[0.02076，0.03396]，p11∈[2.246e-06，7.879e-05]，p20∈[-0.001555，-0.0008289]。

when calculating the curve fitting degree and the root mean square error (rootmean squared error, RMSE) of the fitting curve of each preset formula in fig. 5, it is determined that when p00=0.85, p01= -0.009364, p10= 0.02736, p11=4.052e-05 and p20= -0.001192 of the fitting curve of the preset formula, the curve fitting degree and RMSE of the fitting curve of the preset formula are both optimal. Wherein, the curve fitting degree is 0.9914, and the RMSE is 0.01663.

It should be noted that, when determining the downlink edge coverage rate of the base station to be built according to the method for determining the downlink edge coverage rate provided by the embodiment of the present invention, if the downlink edge coverage rate is smaller than the preset threshold, the operator needs to adjust the SINR and/or the downlink edge rate of the PDCP layer until the calculated downlink edge coverage rate is greater than or equal to the preset threshold, so as to ensure user experience.

Further, in the embodiment of the present invention, referring to fig. 2, as shown in fig. 3, the method for determining the reference signal received power provided in the embodiment of the present invention further includes: s14 and S15.

Further, in an embodiment of the present invention, as shown in fig. 4 in conjunction with fig. 2, S15 may include S150, S151, and S152.

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.

The embodiment of the invention can divide the functional modules of the downlink edge coverage rate determining device according to the method example, for example, each functional 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 a downlink edge coverage rate determining apparatus 10 according to an embodiment of the present invention. The determining device 10 for downlink edge coverage rate is configured to determine a predicted signal-to-interference-plus-noise ratio SINR of the network access device of the to-be-built machine by simulating the to-be-built base station when obtaining a downlink edge rate of a rated packet data convergence protocol PDCP layer of the to-be-built base station. And then, determining the downlink edge coverage rate of the base station to be built according to a predetermined preset formula, the predicted SINR and the downlink edge rate of the rated PDCP layer. The downlink edge coverage determination apparatus 10 may include an acquisition unit 101 and a processing unit 102.

An acquiring unit 101, configured to acquire a downlink edge rate of a rated packet data convergence protocol PDCP layer of a base station to be built. For example, in connection with fig. 2, the acquisition unit 101 may be used to perform S11. In connection with fig. 3, the acquisition unit 101 may be used to perform S14.

And the processing unit 102 is used for simulating the base station to be built and determining the predicted signal to interference plus noise ratio SINR.

The processing unit 102 is further configured to determine a downlink edge coverage rate of the base station to be built according to a predetermined preset formula, the predicted SINR, and the nominal PDCP layer downlink edge rate acquired by the acquiring unit 101. The preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer. 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 S15. In connection with fig. 4, the processing unit 102 may be used to perform S150, S151, and S152.

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 determining apparatus 10 for downlink edge coverage provided in the embodiment of the present invention includes, but is not limited to, the above modules, for example, the determining apparatus 10 for downlink edge coverage may further include a storage unit 103. The storage unit 103 may be used for storing the program code of the determining device 10 for writing the downstream edge coverage, and may also be used for storing data generated during operation of the determining device 10 for writing the downstream edge coverage, such as data in a write request, etc.

Fig. 7 is a schematic structural diagram of a downlink edge coverage rate determining apparatus 10 according to an embodiment of the present invention, where, as shown in fig. 7, the downlink edge coverage rate determining apparatus 10 may include: at least one processor 51, a memory 52, a communication interface 53 and a communication bus 54.

The following describes each constituent element of the downstream edge coverage determination device 10 specifically with reference to fig. 7:

the processor 51 is a control center of the apparatus 10 for determining the coverage of the downlink edge, 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 downstream edge coverage determination apparatus 10 may include a plurality of processors, such as the processor 51 and the processor 55 shown in fig. 7. 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 a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting 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 downstream edge coverage determination apparatus 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.

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.

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 the 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 (randomaccess 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 IEEE 802.41 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.

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

1. The method for determining the coverage rate of the downlink edge is characterized by comprising the following steps:

acquiring the downlink edge rate of a rated Packet Data Convergence Protocol (PDCP) layer of access network equipment to be built;

simulating the access network equipment to be built, and determining a predicted signal-to-interference-plus-noise ratio (SINR);

determining the downlink edge coverage rate of the to-be-built access network equipment according to a predetermined preset formula, a predicted SINR and the downlink edge rate of the rated PDCP layer; the preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer;

acquiring network data acquired by at least one target terminal; the network data comprises the downlink edge rate of the PDCP layer of the target terminal and the SINR of the target terminal, the target terminal is positioned in the coverage area of established access network equipment, and the moving rate of the target terminal is larger than a preset rate;

determining the preset formula according to the SINR of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer;

determining the preset formula according to the SINR of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer, wherein the preset formula comprises the following steps:

determining a first probability and a second probability according to the SINR of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer; wherein, the liquid crystal display device comprises a liquid crystal display device,

p1 represents a first probability, P2 represents a second probability, N1 represents a target that SINR in the at least one target terminal is greater than a specified threshold, and a downlink edge rate of the PDCP layer is greater than an uplink rate thresholdThe total number of target terminals, N2 represents the total number of target terminals, and N3 represents the total number of target terminals with SINR larger than a specified threshold value in the at least one target terminal;

determining the coverage rate of the downlink edge according to the first probability and the second probability; wherein, the liquid crystal display device comprises a liquid crystal display device,

P _DL representing the coverage rate of the downlink edge;

fitting the downlink edge coverage rate, the SINR of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer to determine the preset formula; wherein the preset formula satisfies the following conditions

Indicating the downlink edge rate, SINR of PDCP layer _i The signal to interference plus noise ratio, p00, p01, p10, p11 and p20, representing the target terminal are all constants.

2. A downlink edge coverage determination apparatus, comprising:

an obtaining unit, configured to obtain a downlink edge rate of a rated packet data convergence protocol PDCP layer of an access network device to be built;

the processing unit is further configured to determine a downlink edge coverage rate of the access network device to be built according to a predetermined preset formula, a predicted SINR, and the downlink edge rate of the rated PDCP layer acquired by the acquiring unit; the preset formula comprises the corresponding relation among the downlink edge rate, the SINR and the downlink edge coverage rate of the PDCP layer;

the acquisition unit is further used for acquiring network data acquired by at least one target terminal; the network data comprises the downlink edge rate of the PDCP layer of the target terminal and the SINR of the target terminal, the target terminal is positioned in the coverage area of established access network equipment, and the moving rate of the target terminal is larger than a preset rate;

the processing unit is further configured to determine the preset formula according to the SINR of each target terminal and the downlink edge rate of the PDCP layer in the at least one target terminal acquired by the acquiring unit;

the processing unit is specifically configured to determine a first probability and a second probability according to the SINR of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer acquired by the acquiring unit; wherein, the liquid crystal display device comprises a liquid crystal display device,

p1 represents a first probability, P2 represents a second probability, N1 represents the total number of target terminals in which SINR is greater than a specified threshold among the at least one target terminal, and the downlink edge rate of the PDCP layer is greater than an uplink rate threshold, N2 represents the total number of target terminals, and N3 represents the total number of target terminals in which SINR is greater than the specified threshold among the at least one target terminal;

the processing unit is specifically configured to determine a downlink edge coverage rate according to the first probability and the second probability; wherein, the liquid crystal display device comprises a liquid crystal display device,

P _DL representing the coverage rate of the downlink edge;

the processing unit is specifically configured to fit the downlink edge coverage rate, the SINR of each target terminal in the at least one target terminal acquired by the acquiring unit, and the downlink edge rate of the PDCP layer, and determine the preset formula; wherein the preset formula satisfies the following conditions

3. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of determining the coverage of a downlink edge as claimed in claim 1.

4. A downlink edge coverage determination apparatus, 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 determining device of the downlink edge coverage rate runs, the processor executes the computer-executable instructions stored in the memory, so that the determining device of the downlink edge coverage rate executes the determining method of the downlink edge coverage rate as set forth in claim 1.