CN111586733B

CN111586733B - Edge rate determining method and device

Info

Publication number: CN111586733B
Application number: CN202010443844.9A
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: 2023-05-30
Anticipated expiration: 2040-05-22
Also published as: CN111586733A

Abstract

The invention provides a method and a device for determining edge rate, relates to the technical field of communication, and solves the problem of how to calculate the edge rate of a newly built base station. The method comprises the steps of obtaining rated edge coverage rate of access network equipment to be built; simulating access network equipment to be built, and determining predicted Reference Signal Received Power (RSRP); inquiring a preset table which is preset according to the predicted RSRP and the rated edge coverage rate, and determining the edge rate of the access network equipment to be built; the preset table comprises a corresponding relation among RSRP, edge coverage rate and edge speed.

Description

Edge rate determining method and device

Technical Field

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

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.

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

Disclosure of Invention

The invention provides a method and a device for determining an edge rate, which solve the problem of how to calculate the edge 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, the method for determining an edge rate according to the embodiment of the present invention determines, by simulating the to-be-built access network device, the predicted reference signal received power RSRP when the rated edge coverage rate of the to-be-built access network device is obtained. And then, inquiring a preset table which is preset according to the predicted RSRP and the rated edge coverage rate, and determining the edge rate of the access network equipment to be built. The preset table comprises a corresponding relation among RSRP, edge coverage rate and edge speed.

As can be seen from the above, in the method for determining an edge rate provided by the present invention, a preset table including the correspondence among RSRP, edge coverage rate and edge rate is preconfigured. When the access network equipment to be built is a base station to be built, an operator needs to determine the edge rate of the base station to be built, a preset table which is preset is queried according to the predicted RSRP and the rated edge coverage rate, and the edge rate of the access network equipment to be built is determined, so that the configuration of the edge rate according to personal experience is not needed, and the problem of how to calculate the edge rate of a newly built base station is solved.

In a second aspect, the present invention provides an edge rate determining apparatus, including: an acquisition unit and a processing unit.

Specifically, the acquiring unit is configured to acquire a rated edge coverage rate of the access network device to be built.

And the processing unit is used for simulating the access network equipment to be built and determining the predicted Reference Signal Received Power (RSRP).

And the processing unit is further used for inquiring a preset table which is preset according to the predicted RSRP and the rated edge coverage rate acquired by the acquisition unit, and determining the edge rate of the access network equipment to be built. The preset table comprises a corresponding relation among RSRP, edge coverage rate and edge speed.

In a third aspect, the present invention provides an edge rate determining apparatus, 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 edge rate determining means is operated, the processor executes computer-executable instructions stored in the memory to cause the edge rate determining means to perform the edge rate determining method as provided in the first aspect described 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 determining an edge rate 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 determining an edge rate as described in the manner of 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 edge rate determining device or may be packaged separately from the processor of the edge 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 edge rate determination means do not constitute limitations on the devices or function modules themselves, and in actual implementations, 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 an edge rate determining method according to an embodiment of the present invention is applied;

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

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

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

FIG. 5 is a schematic diagram of a three-dimensional coordinate system in a method for determining an edge rate according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a triangle determined by a triangle difference method in the method for determining an edge rate according to the embodiment of the present invention;

FIG. 7 is a contour diagram of a method for determining an edge rate according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of an edge rate determining apparatus according to an embodiment of the present invention;

FIG. 9 is a second schematic diagram of an edge rate determining apparatus according to an embodiment of the present invention;

fig. 10 is a schematic structural diagram of a computer program product of a method for determining an edge rate 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 edge rate 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 determining device of the edge rate may be a base station (basetransceiver station, BTS) in a global system for mobile communications (globalsystem for mobil ecommunication, GSM), a base station (node B, NB) in a code division multiple access (code division multiple access, CDMA), a base station (evolvedNode B, eNB) in a long term evolution (Long Term Evolution, LTE), an eNB in an internet of things (internet of things, ioT) or a narrowband internet of things (narrow band-internetof things, NB-IoT), a base station or a base station controller in a future 5G mobile communication network or a future evolved public land mobile network (public land mobile network, PLMN), and the embodiment of the present invention is not limited in this respect.

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. Alternatively, 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 uplink 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 uploading or downloading services such as 4K and 8K high-definition videos on the uplink edge rate are shown in table 2.

TABLE 2

Service type	Uplink edge rate for single user traffic	Downstream edge rate for single user traffic
			4K high definition video	/	20Mbps
8k high definition video	80Mbps	/
			360-degree panoramic live broadcast	20Mbps	/
VR(4K)	/	20Mbps

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

Service type	Uplink edge rate for single user traffic	Downstream edge rate for single user traffic
			VR(8K)	/	50Mbps
Immersion VR/AR	/	100Mbps
			High definition cloud game	/	100Mbps
High definition map download	/	100Mbps

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

Specifically, in practical application, when an operator is waiting for a base station to be built, the operator selects the rated edge coverage rate of the base station to be built according to the application scenario of the base station to be built, for example: when the application scene of the base station to be built is a high-speed rail scene, the rated edge coverage rate of the base station to be built is 90% or 95%.

S12, simulating the base station to be built, and determining predicted reference signal received power (reference signal receiving power, RSRP).

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 RSRP of the base station to be built.

Taking an application scene of a base station to be built as an example, an expected RSRP of the base station to be built is obtained, which includes:

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. The base station parameters comprise information such as station addresses, station heights, 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 mobile simulation of a single user according to the mobile speed of more than or equal to 250km/h, obtaining the RSRP of each simulation, and recording (s, C, h, d, num, v, RSRP). 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 RSRP is the RSRP value of the user.

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

S13, inquiring a preset table which is preset according to the predicted RSRP and the rated edge coverage rate, and determining the edge rate of the base station to be built. The preset table comprises a corresponding relation among RSRP, edge coverage rate and edge speed.

Specifically, when the edge coverage is the uplink edge coverage and the edge rate is the uplink edge rate, S13 includes: s130, inquiring a preset table which is preset according to the predicted RSRP and the rated uplink edge coverage rate, and determining the uplink edge rate of the base station to be built.

Specifically, the method for determining the edge rate according to the embodiment of the present invention determines the preset table by acquiring network data collected by the target terminals within the coverage area of at least one established base station, so as to determine the preset table according to the RSRP of all the target terminals and the uplink edge rate of the packet data convergence protocol (packet data convergence protocol, PDCP) layer. The method for determining the edge rate provided by the embodiment of the invention further comprises the following steps:

s14, acquiring network data of at least one target terminal. The network data comprises RSRR of a target terminal and uplink edge rate of a packet data convergence protocol PDCP layer, the target terminal is in coverage of an established base station, and the moving rate of the target terminal is larger than a preset rate.

S15, determining a preset table according to the RSRP of each target terminal in at least one target terminal and the uplink edge rate of the PDCP layer.

Specifically, in order to ensure that the accuracy of the actually obtained preset table is higher, a large amount of network data collected by the target terminal in the coverage area of each base station in at least one established base station under different parameters such as inter-station distance, station track distance, station height and the like is required to be collected.

Taking a 5G terminal as an example, the process of collecting network data collected by a target terminal in the coverage area of each base station in at least one established base station under parameters of different inter-station distances, station gauges, station heights and the like is as follows:

And placing a 5G terminal on the aisle side of the high-speed rail, initiating and maintaining user datagram protocol (user datagram protocol, UDP) uplink service through the 5G terminal, and recording related data (time stamp, physical cell identifier (physical cell identifier, PCI), moving rate of the 5G terminal, and uplink edge rate of the RSRP and PDCP layers by the drive test software.

If the UDP uplink service initiated by the 5G terminal is dropped, the 5G terminal needs to reinitiate the UDP uplink service near the test point, and after the speed is stable, the test is continued.

Exemplary network data is shown in table 4.

TABLE 4 Table 4

For example, when the preset speed is 250km/h, the target terminal with the movement speed greater than 250km/h may be screened, so as to determine network data collected by the target terminal on the high-speed train as shown in table 5.

TABLE 5

Target terminal number	RSRP	Uplink edge rate of PDCP layer
			Target terminal 1	-90dBm	0.5Mbps/s
Target terminal 2	-110dBm	1.5Mbps/s
			Target terminal 3	-88dBm	5Mbps/s

Specifically, S15 includes:

s150, determining a first probability and a second probability according to the RSRP of each target terminal in at least one target terminal and the uplink edge rate of the PDCP layer. Wherein,

p1 represents a first probability, P2 represents a second probability, N1 represents a total number of target terminals in which RSRP is greater than a specified threshold among at least one target terminal, and an uplink 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 RSRP is greater than a specified threshold among at least one target terminal.

S151, determining the coverage rate of the uplink edge according to the first probability and the second probability. Wherein,

P _UL representing the uplink edge coverage.

And S152, performing interpolation calculation according to the coverage rate of the uplink edge, the RSRP of each target terminal in the at least one target terminal and the uplink edge rate of the PDCP layer, and determining at least one data pair. Wherein, the data pair comprises RSRP, uplink edge coverage rate and uplink edge rate.

S153, determining a preset table according to at least one data pair.

Exemplary, the correspondence among RSRP, uplink coverage rate and uplink edge rate of PDCP layer in the network data collected by the target terminal is shown in table 6.

Specifically, because the network data collected by the target terminals are discontinuous in practical application, interpolation calculation is required to be performed on the uplink edge coverage rate, the RSRP of each target terminal in at least one target terminal, and the uplink edge rate of the PDCP layer according to any one of polynomial interpolation, spline difference, piecewise interpolation, and triangular interpolation, so that the network data are continuous, and a preset table is generated according to the continuous network data.

TABLE 6

For example, taking interpolation calculation according to triangular interpolation to the coverage rate of the uplink edge, the RSRP of each target terminal in at least one target terminal, and the uplink edge rate of the PDCP layer, a preset table is determined for illustration, and the specific implementation process is as follows:

A three-dimensional coordinate system as shown in fig. 5 is established. Where O represents the origin of coordinates, the X-axis represents RSRP, the Y-axis represents uplink coverage, and the Z-axis represents uplink edge rate.

Each data pair in table 6 is converted into a coordinate point in the three-dimensional coordinate system shown in fig. 5, and each coordinate point is brought into the three-dimensional coordinate shown in fig. 5.

The triangular difference calculation is performed for each coordinate point in the three-dimensional coordinates shown in fig. 5 in turn. Specifically, the process of calculating the triangular difference value is as follows:

any one of the three-dimensional coordinates shown in fig. 5 is selected as a point P1. Two coordinate points closest to the point P1 are calculated. (e.g., point P2 and point P3), wherein the coordinate points corresponding to any one of point P1, point P2 and point P3 belong to the coordinate points corresponding to the data pairs in Table 6.

Illustratively, the coordinate values corresponding to the points P1, P2 and P3 are shown in table 7.

TABLE 7

Coordinate point	RSRP	Upstream edge rate	Coverage of uplink edge
				Point P1	RSRP_1	S ^UL _1	Pr_1
Point P2	RSRP_2	S ^UL _2	Pr_2
				Point P3	RSRP_1	S ^UL _2	Pr_3

As shown in fig. 5, a triangle can be determined from the points P1, P2, and P3. Wherein, three vertexes of the triangle are respectively a point P1, a point P2 and a point P3.

It should be noted that the triangle determined according to the points P1, P2, and P3 is a 2D graph. For the triangle defined by the visual observation points P1, P2 and P3, a rectangular coordinate system as shown in fig. 6 is established. Wherein the Y axis is parallel to the P2P3 side of the triangle, the X axis is perpendicular to the Y axis and is in the plane of the triangle, the X axis represents RSRP, and the Y axis represents uplink coverage.

In practical applications, any point P (rsrp_n, pr_nm) within the triangle has two degrees of freedom, namely, a degree of freedom u and a degree of freedom v. Since the degree of freedom u and the degree of freedom v represent the weight contribution of each vertex to a specific region, and (1-u-v) is the third weight, the contribution of each vertex of the triangle to the point P (rsrp_n, pr_nm) can be calculated as long as the degree of freedom u and the degree of freedom v are calculated.

Specifically, when point P (RSRP_A, S ^UL B, pr_C) is within the triangle, the degrees of freedom u and v must satisfy the conditions u.gtoreq.0, v.gtoreq.0, u+v.gtoreq.1.

Then, any one point P (rsrp_n, pr_nm) in the triangle shown in fig. 6 is traversed, so that the degree of freedom u and v corresponding to each point P (rsrp_n, pr_nm) and the uplink edge rate corresponding to each point P (rsrp_n, pr_nm) are determined.

Specifically, the traversal procedure is as follows for any one point P (rsrp_n, pr_nm) in the triangle shown in fig. 6:

since the coordinate values of the point P1, the point P2, the point P3 and the point P (RSRP_n, pr_nm) are known, the degree of freedom u and the degree of freedom v are solved, and only a binary once equation is needed to be solved:

rsrp_n= (1-u-v) ×p1 (RSRP) +u×p2 (RSRP) +v×p3 (RSRP), equation one.

Pr_nm= (1-u-v) ×P1 (Pr) +u×P2 (Pr) +v×P3 (Pr), equation two.

Wherein RSRP_n represents RSRP of the point P, pr_nm represents the uplink edge coverage of the point P, PN (RSRP) represents RSRP value of the point PN, PN (Pr) represents the uplink edge coverage of the point PN, and N is an integer greater than 0.

Illustratively, when N is equal to 1, PN (RSRP) represents RSRP of the point P1, and PN (Pr) represents the uplink coverage of the point P1.

From the first and second formulas, the degrees of freedom u and v corresponding to the point P (rsrp_n, pr_nm) can be known, so that the uplink edge rate corresponding to the point P (rsrp_n, pr_nm) can be determined according to the third formula.

S ^UL _m＝(1-u-v)×P1(S ^UL )+u×P2(S ^UL )+v×P3(S ^UL ) Formula three. Wherein S is ^UL M represents the upstream edge rate.

Specifically, a three-dimensional coordinate point P (RSRP_n, S) can be determined according to the uplink edge rate corresponding to each point P (RSRP_n, pr_nm) ^UL M, pr_nm), one interpolation of network data collected by the target terminal is completed at this time.

Further, when all interpolation of the network data collected by the target terminal is completed, the preset table can be determined by summarizing the data.

Specifically, in order to more vividly show the correspondence among the RSRP, the edge coverage rate and the edge rate of the base station to be built, the edge rate determination method provided by the embodiment of the invention is based on the colors of the points P1, P2 and P3 and the three-dimensional coordinate points P (rsrp_n, S) ^UL M, pr_nm), a three-dimensional coordinate point P (RSRP_n, S) can be determined ^UL M, pr_nm), the specific implementation process is as follows:

assume that three-dimensional coordinate points P (RSRP_n, S) determined from points P1, P2 and P3 ^UL M, pr_nm) is equal to 0.4, and the degree of freedom v is equal to 0.5; the color of the point P1 is red, the color of the point P2 is green, the color of the point P3 is blue, and the chromaticity of red is (0, 255), the chromaticity of green is (0, 255, 0), and the chromaticity of blue is (255, 0) as known by a color editor in matrix laboratory (Matlab). Thus, the first and second substrates are bonded together,the chromaticity corresponding to the point P1 is (0, 255), the chromaticity corresponding to the point P2 is (0, 255, 0), and the chromaticity corresponding to the point P3 is (255, 0).

Three-dimensional coordinate point P (rsrp_n, S) ^UL A= (1-u-v) ×p1 (a) +u×p2 (a) +v×p3 (a), b= (1-u-v) ×p1 (b) +u×p2 (b) +v×p3 (b), c= (1-u-v) ×p1 (c) +u×p2 (c) +v×p3 (c) in chromaticity (a, b, c) corresponding to m, pr_nm.

Wherein PN (a) represents the value of a in the chromaticity of the point PN, PN (b) represents the value of b in the chromaticity of the point PN, PN (c) represents the value of c in the chromaticity of the point PN, and N is an integer greater than 0.

Illustratively, when N is equal to 1, a=0, b=0, c=255, since the chromaticity of the point P1 is (0, 255).

From the above, three-dimensional coordinate point P (RSRP_n, S) ^UL A= (1-0.4-0.5) ×0+0.4×0+0.5×255=127.5, b= (1-0.4-0.5) ×0+0.4×255+0.5×0=102, c= (1-0.4-0.5) ×255+0.4×0+0.5×0=25.5, i.e., three-dimensional coordinate point P (rsrp_n, S) in chromaticity (a, b, c) corresponding to _m, pr_nm ^UL And (m, pr_nm) of (127.5, 102, 25.5).

Then, the three-dimensional coordinate point P (rsrp_n, S ^UL The corresponding chromaticity (127.5, 102, 25.5) of_m, pr_nm is brought into the color editor in Matlab, so that the color of point P can be determined.

The color corresponding to the point P (rsrp_n, pr_nm) and the three-dimensional coordinate point P (rsrp_n, S ^UL M, pr_nm), i.e. the chromaticity corresponding to the point P (RSRP_n, pr_nm) is the same as the three-dimensional coordinate point P (RSRP_n, S) ^UL M, pr_nm) are the same.

The coordinate values of all the points P (RSRP_n, pr_nm) and the colors corresponding to each point P (RSRP_n, pr_nm) are summarized, so that the color distribution in the triangle shown in fig. 6 is obtained, and a user can more vividly know the corresponding relation among the RSRP, the edge coverage rate and the edge coverage rate of the base station to be built.

Or,

all three-dimensional coordinate points P (RSRP_n, S) ^UL Coordinate values of_m, pr_nm), and each three-dimensional coordinate point P (RSRP\u) n，S ^UL And_m, pr_nm) corresponding to the base station to be built, thereby obtaining a contour map shown in fig. 7, so that a user can more vividly know the corresponding relation among RSRP, edge coverage rate and edge rate of the base station to be built.

For example, the coverage rate of the uplink edge, the RSRP of each of the at least one target terminal, and the uplink edge rate of the PDCP layer are interpolated according to triangular interpolation, and a predetermined table is determined as shown in table 8.

TABLE 8

Specifically, when the edge coverage rate is the uplink edge coverage rate and the edge rate is the uplink edge rate, the operator may query a preset table configured in advance according to the predicted RSRP and the rated uplink edge coverage rate, and determine the uplink edge rate of the PDCP layer of the base station to be built.

Specifically, in order to ensure the accuracy of the preset table, 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 determining the uplink edge rate of the base station to be established by the operator according to the preset table 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 table is more in accordance with the actual distribution, that is, the operator can accurately determine the uplink edge rate of the base station to be established according to the preset table.

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 table is more in accordance with the actual distribution, that is, the operator can accurately determine the uplink edge rate of the base station to be established according to the preset table.

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

Further, in the embodiment of the present invention, with reference to fig. 2, as shown in fig. 3, the method for determining an edge rate according to the embodiment of the present invention further includes: s14 and S15.

Further, in an embodiment of the present invention, in conjunction with fig. 2, as shown in fig. 3, S13 may include S130.

Further, in an embodiment of the present invention, as shown in fig. 4 in conjunction with fig. 2, S15 may include S150, S151, S152, and S153.

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 edge rate determining device according to the method example, for example, each functional module can be divided corresponding to each function, or 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. 8 is a schematic structural diagram of an edge rate determining apparatus 10 according to an embodiment of the present invention. The edge rate determining device 10 is configured to determine the predicted reference signal received power RSRP by simulating the base station to be built when the rated edge coverage rate of the base station to be built is obtained. And then, inquiring a preset table which is preset according to the predicted RSRP and the rated edge coverage rate, and determining the edge rate of the base station to be built. The edge rate determination apparatus 10 may include an acquisition unit 101 and a processing unit 102.

An obtaining unit 101, configured to obtain a rated edge coverage rate 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 configured to simulate the base station to be built and determine the predicted reference signal received power RSRP.

The processing unit 102 is further configured to query a preset table configured in advance according to the predicted RSRP and the rated edge coverage rate acquired by the acquiring unit 101, and determine an edge rate of the base station to be built. For example, in connection with fig. 2, the processing unit 102 may be configured to perform S12. In connection with fig. 3, the processing unit 102 may be used to perform S130 and S15. In connection with fig. 4, the processing unit 102 may be used to perform S150, S151, S152, and S153.

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

Fig. 9 is a schematic structural diagram of an edge rate determining apparatus 10 according to an embodiment of the present invention, and as shown in fig. 9, the edge 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 edge rate determination apparatus 10 in detail with reference to fig. 9:

the processor 51 is a control center of the edge rate determining device 10, and may be one processor or a generic name of 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. 9, as an example. Also, as an example, the edge rate determining device 10 may include a plurality of processors, such as the processor 51 and the processor 55 shown in fig. 9. 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. 9, but not only one bus or one type of bus.

As an example, in connection with fig. 8, the acquisition unit 101 in the edge rate determination apparatus 10 realizes the same function as the communication interface 53 in fig. 9, the processing unit 102 realizes the same function as the processor 51 in fig. 9, and the storage unit 103 realizes the same function as the memory 52 in fig. 9.

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 modules or units is merely a logical function 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 shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in 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 methods of 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. 10 schematically illustrates a conceptual partial view of a computer program product provided by an embodiment of the invention, the computer program product comprising a computer program for executing a computer process on a computing device.

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. 10 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 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. A method for determining an edge rate, comprising:

acquiring network data of at least one target terminal; the network data comprises Reference Signal Received Power (RSRP) of the target terminal and uplink edge rate of a Packet Data Convergence Protocol (PDCP) layer, the target terminal is in coverage range of established access network equipment, and the moving rate of the target terminal is larger than a preset rate;

determining a first probability and a second probability according to the RSRP of each target terminal and the uplink edge rate of the PDCP layer; wherein,

p1 represents a first probability, P2 represents a second probability, N1 represents a total number of target terminals in which RSRP is greater than a specified threshold among the at least one target terminal, and an uplink 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 RSRP is greater than a specified threshold among the at least one target terminal;

Determining from the first probability and the second probabilityRow edge coverage; wherein,

P _UL representing the uplink edge coverage;

performing interpolation calculation on the uplink edge coverage rate, the RSRP of each target terminal in the at least one target terminal and the uplink edge rate of the PDCP layer, and determining at least one data pair; wherein the data pair comprises RSRP, uplink edge coverage rate and uplink edge rate;

determining a preset table according to the at least one data pair;

acquiring rated edge coverage rate of access network equipment to be built; the edge coverage includes the uplink edge coverage;

simulating the access network equipment to be built, and determining a predicted RSRP;

inquiring a preset table which is preset according to the predicted RSRP and the rated edge coverage rate, and determining the edge rate of the access network equipment to be built; the preset table comprises a corresponding relation among RSRP, edge coverage rate and edge speed; the edge rate includes an uplink edge rate of the PDCP layer.

2. An edge rate determining apparatus, comprising:

an acquisition unit, configured to acquire network data of at least one target terminal; the network data comprises Reference Signal Received Power (RSRP) of the target terminal and uplink edge rate of a Packet Data Convergence Protocol (PDCP) layer, the target terminal is in coverage range of established access network equipment, and the moving rate of the target terminal is larger than a preset rate;

A processing unit, configured to determine a first probability and a second probability according to the RSRP of each target terminal and the uplink edge rate of the PDCP layer of each target terminal acquired by the acquiring unit; wherein,

the processing unit is further configured to determine an uplink edge coverage rate according to the first probability and the second probability; wherein,

P _UL representing the uplink edge coverage;

the processing unit is further configured to perform interpolation calculation according to the uplink edge coverage rate, the RSRP of each target terminal in the at least one target terminal acquired by the acquiring unit, and the uplink edge rate of the PDCP layer, and determine at least one data pair; wherein the data pair comprises RSRP, uplink edge coverage rate and uplink edge rate;

the processing unit is further used for determining a preset table according to the at least one data pair;

The acquisition unit is also used for acquiring the rated edge coverage rate of the access network equipment to be built; the edge coverage includes the uplink edge coverage;

the processing unit is further used for simulating the access network equipment to be built and determining a predicted RSRP;

the processing unit is further configured to query a preset table configured in advance according to the predicted RSRP and the rated edge coverage rate acquired by the acquiring unit, and determine an edge rate of the access network device to be built; the preset table comprises a corresponding relation among RSRP, edge coverage rate and edge speed; the edge rate includes an uplink edge rate of the PDCP layer.

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

4. An edge rate determining 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;

the processor executes computer-executable instructions stored in the memory to cause the edge rate determination device to perform the edge rate determination method of claim 1 when the edge rate determination device is operating.