CN111669773B

CN111669773B - Method and device for calculating edge rate

Info

Publication number: CN111669773B
Application number: CN202010444386.0A
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: 2022-06-21
Anticipated expiration: 2040-05-22
Also published as: CN111669773A

Abstract

The invention provides a method and a device for calculating an 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 the rated edge coverage rate of the access network equipment to be built; simulating access network equipment to be built, and determining predicted Reference Signal Received Power (RSRP); determining the edge rate of the access network equipment to be built according to a predetermined formula, the predicted RSRP and the rated edge coverage rate; the preset formula comprises a corresponding relation among RSRP, edge coverage and edge rate.

Description

Method and device for calculating edge rate

Technical Field

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

Background

In recent years, with the richness of wireless communication service types and the reduction of tariffs, the wireless communication demand of users is rapidly increasing. In this case, the load-bearing capacity of the existing base station is far from meeting the requirements of users, and the improvement of the network load-bearing capacity by the new base station becomes a main means for the construction of the wireless communication network.

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

Disclosure of Invention

The invention provides a method and a device for calculating an edge rate, which solve the problem of how to calculate the edge rate by a newly-built base station.

In order to achieve the purpose, the invention adopts the following technical scheme:

in a first aspect, an embodiment of the present invention provides a method for calculating an edge rate, where when a rated edge coverage of an access network device to be built is obtained, the access network device to be built is simulated to determine a predicted RSRP. And then, determining the edge rate of the access network equipment to be built according to a predetermined formula, the predicted RSRP and the rated edge coverage rate. The preset formula comprises a corresponding relation among the RSRP, the edge coverage rate and the edge rate.

As can be seen from the above, in the method for calculating the edge rate provided by the present invention, a preset formula including a correspondence between RSRP, the edge coverage, and the edge rate is predetermined. Therefore, when the access network equipment to be built is the base station to be built, the operator determines the predicted RSRP of the base station to be built by acquiring the rated edge coverage rate of the base station to be built and simulating the base station to be built. And then, determining the edge rate of the access network equipment to be built according to a predetermined preset formula, the predicted RSRP and the rated edge coverage rate, so that the edge rate does not need to be configured according to personal experience, and the problem of how to calculate the edge rate by a newly-built base station is solved.

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

Specifically, the obtaining unit is configured to obtain a rated edge coverage of the device to be accessed.

The processing unit is configured to simulate the access network device to be built, and determine the predicted reference signal received power RSRP.

The processing unit is further configured to determine an edge rate of the to-be-established access network device according to a predetermined formula, the predicted RSRP, and the rated edge coverage rate obtained by the obtaining unit. The preset formula comprises a corresponding relation among the RSRP, the edge coverage rate and the edge rate.

In a third aspect, the present invention provides an apparatus for calculating an edge rate, 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 calculation means is running, the processor executes computer-executable instructions stored in the memory to cause the edge rate calculation means to perform the edge rate calculation method as provided in the first aspect above.

In a fourth aspect, the invention provides a computer-readable storage medium comprising instructions. When the instructions are run on a computer, the instructions cause the computer to perform the method of calculating an edge rate as provided in the first aspect above.

In a fifth aspect, the present invention provides a computer program product, which when run on a computer, causes the computer to execute the method for calculating an edge rate according to the first aspect.

It should be noted that all or part of the above computer instructions may be stored on the first computer readable storage medium. The first computer readable storage medium may be packaged with or separately from a processor of the edge rate computing device, which is not limited in the present invention.

For the description of the second, third, fourth and fifth aspects of the present invention, reference may be made to the detailed description of the first aspect; in addition, for the beneficial effects described in the second aspect, the third aspect, the fourth aspect and the fifth aspect, reference may be made to beneficial effect analysis of the first aspect, and details are not repeated here.

In the present invention, the names of the above-mentioned edge rate calculation means do not limit the devices or function modules themselves, and in actual implementation, these devices or function modules may appear by other names. Insofar as the functions of the respective devices or functional blocks are similar to those of the present invention, they are within the scope of the claims of the present invention and their equivalents.

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 present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a communication system in which a method for calculating an edge rate is applied according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a method for calculating an edge rate according to an embodiment of the present invention;

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

fig. 4 is a third schematic flowchart of a method for calculating an edge rate according to an embodiment of the present invention;

fig. 5 is a fitting curve of an uplink formula in the method for calculating an edge rate according to the embodiment of the present invention;

fig. 6 is a fitting curve of a downlink formula in the method for calculating an edge rate according to the embodiment of the present invention;

FIG. 7 is a schematic structural diagram of an apparatus for calculating edge rate according to an embodiment of the present invention;

FIG. 8 is a second schematic structural diagram of an apparatus for calculating edge rate according to an embodiment of the present invention;

fig. 9 is a schematic structural diagram of a computer program product of a method for calculating an edge rate according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention will be described below with reference to the accompanying drawings.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used to distinguish the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like do not limit the quantity and execution order.

Fig. 1 is a simplified schematic diagram of a system architecture to which an embodiment of the present invention may be applied, as shown in fig. 1, the system architecture may include:

the method for calculating the edge rate provided by the embodiment of the invention is suitable for the base station and the terminal shown in fig. 1. When a base station sends (transport, TX) information, data is transmitted through k transmission links; when information is transmitted by the kth transmission link, firstly, according to a symbol (symbol) carried in a sub-baseband (baseband) k (where the symbol refers to information that needs to be transmitted by a base station), then, performing Inverse Fast Fourier Transform (IFFT) on the symbol according to a carrier spacing (subcarrier) k to obtain a signal k, further adding (add) a cyclic redundancy code (cyclic redundancy, CP) k to the signal k, and then, performing signal processing on the signal k to which the CPk is added by using a beamforming filter (beamforming filter), thereby obtaining a signal k after beamforming is performed on the kth transmission link. And finally, performing beam integration on the signals k subjected to beam forming by each transmission link, and transmitting the signals subjected to beam integration to a signal receiving end through an antenna, thereby realizing information transmission.

When a terminal Receives (RX) a symbol carried in a subband k from a base station through an antenna, a signal processing is performed on the symbol through a shaping filter to obtain a processed signal, then a CP of the signal is removed, then Fast Fourier Transform (FFT) is performed on the CP-removed signal according to a carrier interval k, and Orthogonal Frequency Division Multiplexing (OFDM) detection is performed on the subband i of the FFT-signal-processed signal, so that the symbol carried in the subband k and transmitted by the antenna receiving base station is converted into a signal recognizable to the terminal.

In an embodiment of the present invention, the edge rate calculation device may be a base station (BTS) in a global system for mobile communications (GSM), a base station (NB) in Code Division Multiple Access (CDMA), a base station (node B, NB) in Wideband Code Division Multiple Access (WCDMA), a base station (eNB) in Long Term Evolution (Long Term Evolution, LTE), an eNB in internet of things (IoT) or a narrowband internet of things (IoT-NB-in-network), a base station or a base station controller in a future 5G mobile communication network or a future evolved Public Land Mobile Network (PLMN), and the like, and the embodiment of the present invention does not limit this.

Terminals are used to provide voice and/or data connectivity services to users. The terminals may have different names such as User Equipment (UE), access terminal, terminal unit, terminal station, mobile station, remote terminal, mobile device, wireless communication device, vehicle user equipment, terminal agent, or terminal device, etc. Optionally, the terminal may be various handheld devices, vehicle-mounted devices, wearable devices, and computers with communication functions, which is not limited in this embodiment of the present invention. For example, the handheld device may be a smartphone. 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 (PDA) computer, a tablet computer, and a laptop computer.

With the increasing demand of users for services, the types and edge rates of services are increased or increased in different degrees, and the service demand in the fifth generation mobile communication technology (5th-generation, 5G) era is taken as an example for description.

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 services such as instant messaging, web browsing, social media, file transfer, remote desktop, online games, high-definition video, and the like. The requirements of services such as instant messaging, web browsing, social media, file transmission, remote desktop, online games, and high definition video on the uplink edge rate and the downlink edge rate are shown in table 1.

TABLE 1

The second type of service is uploading or downloading type services such as 4K, 8K high-definition videos and the like. 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

Type of service	Uplink edge rate for single user services	Downlink edge rate for single-user service
			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 Virtual Reality (VR) (8k), high definition map downloading, and the like. The requirements of services such as VR (8k) high-definition map downloading on the downlink edge rate are shown in table 3.

TABLE 3

Type of service	Uplink edge rate for single user services	Downlink edge rate for single-user service
			VR(8K)	/	50Mbps
Immersion VR/AR	/	100Mbps
			High definition cloud game	/	100Mbps
High definition map download	/	100Mbps

Therefore, with the abundance of wireless communication service types and the reduction of charges, the wireless communication demand of users is rapidly increased, and when the network bearing capacity is improved by building a new base station, the edge rate is configured by depending on personal experience, so that the accuracy of the edge rate cannot be ensured. To this end, the embodiment of the present invention provides a method for calculating an edge rate, which describes in detail how to calculate an edge rate.

Specifically, as shown in fig. 2, taking the device to be accessed as the base station to be established and the established device to be accessed as the established base station as an example, the method may include the following steps S11 to S13:

and S11, obtaining the rated edge coverage rate of the base station to be built.

Specifically, in practical application, when an operator is at a base station to be established, the operator may select a rated edge coverage of the base station to be established according to a scenario in which the base station to be established is applied, such as: 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%.

And S12, simulating the base station to be built, and determining the predicted Reference Signal Receiving Power (RSRP).

Specifically, in order to determine that the base station to be built can provide service guarantees for each user in the coverage area after deployment, planning simulation needs to be performed according to the environment where the base station to be built is located, that is, simulation is performed according to a scene map (such as a three-dimensional (3-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, so that the predicted RSRP of the base station to be built is obtained.

For example, taking an application scenario of a base station to be established as a high-speed rail scenario as an example, obtaining a predicted RSRP of the base station to be established includes:

1. and (4) using planning software to import a scene map, plan the situation of the high-speed rail line and base station parameters of the base station to be built. Wherein, the base station parameters comprise information of station address, station height, station spacing and the like,

2. the simulation model is set according to the high-speed rail acquisition channel model in the third Generation Partnership Project (3 rd Generation Partnership Project, 3 GPP).

3. And (5) carrying out mobile simulation of a single user according to the mobile speed of more than or equal to 250km/h, acquiring the RSRP of each simulation, and recording (s, C, h, d, num, v, RSRP). Note: s is the device type, C is the channel model, h is the station height, d is the station spacing, num is the number of the user, v represents the moving speed of the user, and RSRP is the RSRP value of the user.

It should be noted that, when performing user spot simulation, each user corresponds to one target terminal.

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

Specifically, when the preset formula is an uplink formula or a downlink formula, and the edge rate is an uplink edge rate or an uplink edge rate, S13 includes:

s130, determining the uplink marginal rate of the base station to be built according to a predetermined uplink formula, the predicted RSRP and the rated uplink coverage rate.

S131, determining the downlink marginal rate of the base station to be built according to a predetermined downlink formula, the predicted RSRP and the rated downlink coverage rate.

Specifically, in the method for calculating the edge rate provided in the embodiment of the present invention, the uplink formula is determined according to RSRP of all target terminals and an uplink edge rate of a Packet Data Convergence Protocol (PDCP) layer by obtaining network data acquired by a target terminal within a coverage area of at least one established base station. And then, determining a downlink formula according to the RSRP of all the target terminals and the downlink edge rate of the PDCP layer. Specifically, the method for calculating the edge rate provided by the embodiment of the present invention further includes:

and S14, acquiring the network data collected by at least one target terminal. The network data comprises RSRP of a target terminal, uplink marginal rate of a PDCP layer of the target terminal and downlink marginal rate of the PDCP layer of the target terminal, the target terminal is located in the coverage range of the established base station, and the moving rate of the target terminal is greater than the preset rate.

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

Specifically, in order to ensure the accuracy of the uplink formula and the downlink formula, the network data acquired by the target terminal within the coverage area of the multiple established base stations can be acquired, so that the accuracy of the operator for determining the uplink edge rate of the base station to be established according to the uplink formula is ensured, and the accuracy of the operator for determining the downlink edge rate of the base station to be established according to the downlink formula is ensured.

It should be noted that, when the number of the established base stations is certain and the number of the target terminals in the coverage area of each established base station is larger, the determined uplink formula or downlink formula better conforms to the actual distribution, that is, the operator can accurately determine the uplink edge rate of the base station to be established according to the uplink formula, or can accurately determine the downlink edge rate of the base station to be established according to the downlink formula with higher accuracy.

When the number of the target terminals in the coverage area of each established base station is certain and the number of the established base stations is larger, the determined uplink formula or downlink formula is more in line 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 uplink formula or accurately determine the downlink edge rate of the base station to be established according to the downlink formula to be higher in accuracy.

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

S16, determining a downlink formula according to the RSRP of each target terminal in at least one target terminal and the downlink edge rate of the PDCP layer.

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

Specifically, the corresponding relationship among the RSRP of the target terminal, the uplink edge rate of the PDCP layer of the target terminal, and the downlink edge rate of the PDCP layer of the target terminal in the network data acquired by each target terminal is shown in table 4.

TABLE 4

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 the content of the first and second substances,

p1 denotes a first probability, P2 denotes a second probability, N1 denotes a total number of target terminals of 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 denotes a total number of target terminals, and N3 denotes a total number of target terminals of which RSRP is greater than a specified threshold among the at least one target terminal.

And S151, determining the uplink coverage rate according to the first probability and the second probability. Wherein, the first and the second end of the pipe are connected with each other,

P_ULindicating the uplink coverage of the PDCP layer.

S152, fitting the uplink coverage rate, the RSRP of each target terminal in the at least one target terminal and the uplink marginal rate of the PDCP layer to determine an uplink formula. Wherein the uplink formula satisfies

Indicating the uplink edge rate, RSRP_iRSRP representing the target terminal, p00, p10, p01, p11, and p02 are all constants.

Specifically, S16 includes:

s160, determining a second probability and a third probability according to the RSRP of each target terminal in at least one target terminal and the downlink edge rate of the PDCP layer; wherein the content of the first and second substances,

p2 denotes the second probability, P3 denotes the third probability, N2 denotes the total number of target terminals, N3 denotes the total number of target terminals whose RSRP is greater than a specified threshold among the at least one target terminal, N4 denotes the total number of target terminals whose RSRP 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 the downlink rate threshold.

And S161, determining the downlink coverage rate according to the second probability and the third probability. Wherein the content of the first and second substances,

P_DLindicating the downlink coverage.

S162, fitting the downlink coverage rate, the RSRP of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer to determine a downlink formula. Wherein the downlink formula satisfies

Indicating the downlink edge rate, RSRP, of the PDCP layer_iIndicates the RSRP of the target terminal, p00, p10, p01,p11 and p02 are both constants.

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

For example, taking the target terminal as a 5G terminal as an example, the process of acquiring the network data acquired by the target terminal in the coverage area of each base station in at least one established base station under different inter-station distance, inter-station track distance, inter-station height parameters is as follows:

the method comprises the steps that a 5G terminal is placed on the side of a high-speed rail passageway, User Datagram Protocol (UDP) downlink service is initiated and maintained through the 5G terminal, and drive test software records relevant data (a timestamp, a Physical Cell Identifier (PCI), the moving speed of the 5G terminal, RSRP and the downlink edge speed of a PDCP layer).

After the UDP downlink service is tested, the 5G terminal initiates and maintains the UDP uplink service, and the drive test software records the relevant data (the mobile speed of the PCI and G terminals, RSRP, and the uplink edge speed of the PDCP layer).

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

For example, the corresponding relationship among RSRP, uplink coverage and uplink edge rate of PDCP layer is shown in table 5.

TABLE 5

Illustratively, the network data is shown in table 6.

TABLE 6

Specifically, in practical application, after obtaining the uplink formula and the downlink formula, an operator may determine the uplink edge rate of the base station to be established according to the uplink formula, the rated uplink coverage rate of the base station to be established, and the predicted RSRP of the base station to be established. Meanwhile, the operator can determine the downlink edge rate of the base station to be established according to the downlink formula, the rated downlink coverage rate of the base station to be established and the predicted RSRP of the base station to be established.

Specifically, the uplink coverage, RSRP of each target terminal in the at least one target terminal, and the uplink edge rate of the PDCP layer are fitted according to any one of linear fitting, exponential fitting, and polynomial fitting, to determine the uplink formula. Or, fitting the downlink coverage rate, the RSRP of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer according to any one of linear fitting, exponential fitting and polynomial fitting to determine a downlink formula.

Illustratively, data screening is performed on the uplink coverage rate, the RSRP of each target terminal in the at least one target terminal, and the uplink edge rate of the PDCP layer according to gaussian distribution, so as to obtain valid data with a confidence interval of 95%. Then, 95% of the obtained valid data was fitted by polynomial fitting, thereby obtaining a fitted curve of the up-line formula shown in fig. 5. Wherein, UL represents the uplink edge rate of the PDCP layer of the target terminal, PUL represents the uplink coverage, and RSRP _ UL represents the RSRP of the target terminal.

The value ranges of p00, p10, p01, p11 and p02 of the fitting curve of each uplink formula in fig. 5 are as follows:

p00∈[224.4，350.4]，p10∈[1.737，2.707]，p01∈[-390.4，-215.7]，p11∈[-2.624，-1.551]，p02∈[6.138，52.68]。

when the fitted curve of each upward formula in fig. 5 is calculated by the curve fitting degree and Root Mean Square Error (RMSE), it is determined that the fitted curve of the upward formula has the optimum curve fitting degree and RMSE when p00 ═ 287.4, p10 ═ 2.222, p01 ═ 303, p11 ═ 2.088, and p02 ═ 29.41. Wherein the curve fitting degree is 0.8933, and the RMSE is 0.9946.

Illustratively, data screening is performed on the downlink coverage rate, the RSRP of each target terminal in the at least one target terminal, and the downlink edge rate of the PDCP layer according to gaussian distribution, so as to obtain valid data with a confidence interval of 95%. Then, 95% of the obtained valid data is fitted according to polynomial fitting, thereby obtaining a fitted curve of a downward formula shown in fig. 6. Wherein DL represents a downlink edge rate of a PDCP layer of the target terminal, PDL represents a downlink coverage, and RSRP _ DL represents RSRP of the target terminal.

The value ranges of p00, p10, p01, p11 and p02 of the fitting curve of each descending formula in fig. 6 are as follows:

p00∈[591.5，1031]，p10∈[2.429，5.741]，p01∈[-1567，-819.8]，p11∈[-6.293，-2.127]，p02∈[226.5，518.3]。

when the curve fitting degree and the RMSE are calculated for the fitted curve of each lower formula in fig. 6, the curve fitting degree and the RMSE of the fitted curve of the lower formula are both optimal when p00 ═ 811.2, p10 ═ 4.085, p01 ═ -1193, p11 ═ 4.21, and p02 ═ 372.4 are determined. Wherein the curve fitting degree is 0.9578, and the RMSE is 7.667.

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

Further, in this embodiment of the present invention, with reference to fig. 2, as shown in fig. 3, the method for calculating an edge rate according to this embodiment of the present invention further includes: s14, S15, and S16.

Further, in the embodiment of the present invention, in combination with fig. 2, as shown in fig. 3, the above S13 may include S130 and S131.

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

Further, in the embodiment of the present invention, in combination with fig. 2, as shown in fig. 4, the above S16 may include S160, S161, and S162.

The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed in hardware or computer software drives 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 present invention may perform functional module division on the edge rate computing device according to the above method, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 7 is a schematic structural diagram of an edge rate calculation apparatus 10 according to an embodiment of the present invention. The edge rate calculation device 10 is configured to, when obtaining a rated edge coverage of a base station to be built, simulate the base station to be built so as to determine a predicted RSRP. And then, determining the edge rate of the base station to be built according to a predetermined formula, the predicted RSRP and the rated edge coverage rate. The calculation apparatus 10 of the edge rate may include an acquisition unit 101 and a processing unit 102.

The obtaining unit 101 is configured to obtain a rated edge coverage of a base station to be established. For example, in conjunction with fig. 5, the obtaining unit 101 may be configured to execute S11. In conjunction with fig. 2, the obtaining unit 101 may be configured to execute S11. In conjunction with fig. 3, the obtaining unit 101 may be configured to execute S14.

The processing unit 102 is configured to simulate a base station to be established, and determine predicted reference signal received power RSRP.

The processing unit 102 is further configured to determine an edge rate of the base station to be established according to a predetermined preset formula, the predicted RSRP, and the rated edge coverage rate obtained by the obtaining unit 101. For example, in conjunction with FIG. 2, processing unit 102 may be configured to perform S12 and S13. In conjunction with fig. 3, processing unit 102 may be configured to perform S130 and S131. In connection with fig. 4, the processing unit 102 may be configured to perform S150, S151, S152, S160, S161, and S162.

All relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and the function thereof is not described herein again.

Of course, the calculation apparatus 10 of the edge rate provided by the embodiment of the present invention includes, but is not limited to, the above modules, for example, the calculation apparatus 10 of the writing edge rate may further include the storage unit 103. The storage unit 103 may be configured to store the program code of the computing apparatus 10 for writing edge rate, and may also be configured to store data generated by the computing apparatus 10 for writing edge rate during operation, such as data in a write request.

Fig. 8 is a schematic structural diagram of an edge rate calculation apparatus 10 according to an embodiment of the present invention, and as shown in fig. 8, the edge rate calculation apparatus 10 may include: at least one processor 51, a memory 52, a communication interface 53 and a communication bus 54.

The following describes the components of the edge velocity calculating apparatus 10 in detail with reference to fig. 8:

the processor 51 is a control center of the edge rate calculation device, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 51 is a Central Processing Unit (CPU), an 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 (FPGAs).

In particular implementations, processor 51 may include one or more CPUs such as CPU0 and CPU1 shown in fig. 8 as one example. Also, as an embodiment, the computing device 10 of the edge rate may include a plurality of processors, such as the processor 51 and the processor 55 shown in fig. 8. 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 a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc 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, but is not limited to such. The memory 52 may be self-contained and coupled to the processor 51 via a communication bus 54. The memory 52 may also be integrated with the processor 51.

In a particular implementation, the memory 52 is used for storing data and software programs for implementing the present invention. The processor 51 may perform various functions of the air conditioner by running or executing software programs stored in the memory 52 and calling data stored in the memory 52.

The communication interface 53 is a device such as any transceiver, and is used for communicating with other devices or communication Networks, such as a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a terminal, and a cloud. The communication interface 53 may include a receiving unit implementing a receiving function.

The communication bus 54 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 8, but this is not intended to represent only one bus or type of bus.

As an example, in conjunction with fig. 7, the acquisition unit 101 in the edge rate calculation apparatus 10 implements the same function as the communication interface 53 in fig. 8, the processing unit 102 implements the same function as the processor 51 in fig. 8, and the storage unit 103 implements the same function as the memory 52 in fig. 8.

Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another device, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may be one physical unit or a plurality of physical units, that is, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, 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 partially contributed to by the prior art, or all or part of the technical solution may be embodied in the form of a software product, where the software product is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

Another embodiment of the present invention further provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to perform the method shown in the above 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. 9 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, the computer program product is provided using a 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 functions or portions of the functions 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 undertaken by one or more instructions associated with the signal bearing medium 410. Further, the program instructions in FIG. 9 also describe example instructions.

In some examples, signal bearing medium 410 may include a computer readable medium 411, such as, but not limited to, a hard disk drive, a Compact Disc (CD), a Digital Video Disc (DVD), a digital tape, a memory, a read-only memory (ROM), a Random Access Memory (RAM), or the like.

In some implementations, the signal bearing medium 410 may comprise a computer recordable medium 412 such as, but not limited to, a memory, a read/write (R/W) CD, a 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., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link, etc.).

The signal bearing medium 410 may be conveyed by a wireless form of communication medium 413, such as a wireless communication medium compliant with the IEEE802.41 standard or other transport protocol. The one or more program instructions may be, for example, computer-executable instructions or logic-implementing instructions.

In some examples, a data writing apparatus, such as that described with respect to fig. 2, may be configured to provide various operations, functions, or actions in response to one or more program instructions via the computer-readable medium 411, the computer-recordable medium 412, and/or the communication medium 413.

The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to 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 appended claims.

Claims

1. A method for calculating an edge rate, comprising:

obtaining the rated edge coverage rate of the access network equipment to be built;

simulating the access network equipment to be built, and determining predicted Reference Signal Received Power (RSRP);

determining the edge rate of the access network equipment to be built according to a predetermined formula, the predicted RSRP and the rated edge coverage rate; the preset formula comprises a corresponding relation among RSRP, edge coverage and edge rate; the preset formula comprises an uplink formula and a downlink formula; the edge coverage rate comprises an uplink coverage rate; the edge coverage comprises downlink coverage;

the method for calculating the edge rate comprises the following steps:

acquiring network data acquired by at least one target terminal; the network data comprises RSRP of a target terminal, uplink edge rate of a PDCP layer of the target terminal and downlink edge rate of the PDCP layer of the target terminal, the target terminal is located in the coverage range of the established access network equipment, and the moving rate of the target terminal is greater than the preset rate;

determining the uplink formula according to the RSRP of each target terminal in the at least one target terminal and the uplink edge rate of the PDCP layer;

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

determining the uplink formula according to the RSRP of each target terminal of the at least one target terminal and the uplink edge rate of the PDCP layer, including:

determining a first probability and a second probability according to the RSRP of each target terminal in the at least one target terminal and the uplink edge rate of the PDCP layer; wherein the content of the first and second substances,

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

determining the uplink coverage rate according to the first probability and the second probability; wherein the content of the first and second substances,

P_ULrepresenting the uplink coverage rate;

fitting the uplink coverage rate, the RSRP of each target terminal in the at least one target terminal and the uplink marginal rate of the PDCP layer to determine the uplink formula; wherein the uplink formula satisfies

Indicating the uplink edge rate, RSRP, of the PDCP layer_iThe RSRP of the target terminal is represented, and p00, p01, p02, p10 and p11 are all constants;

determining the downlink formula according to the RSRP of each target terminal of the at least one target terminal and the downlink edge rate of the PDCP layer, including:

determining a third probability according to the RSRP of each target terminal in the at least one target terminal and the downlink edge rate of the PDCP layer; wherein the content of the first and second substances,

p3 represents the third probability, N4 represents the total number of target terminals of the at least one target terminal whose RSRP is greater than the specified threshold and whose downlink edge rate of the PDCP layer is greater than the downlink rate threshold;

determining the downlink coverage rate according to the second probability and the third probability; wherein the content of the first and second substances,

P_DLrepresenting the downlink coverage rate;

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

Indicating the downlink edge rate of the PDCP layer.

2. An apparatus for calculating an edge rate, comprising:

the device comprises an acquisition unit, a calculation unit and a display unit, wherein the acquisition unit is used for acquiring the rated edge coverage rate of the access network equipment to be built;

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

the processing unit is further configured to determine an edge rate of the access network device to be established according to a predetermined formula, the predicted RSRP and the rated edge coverage rate obtained by the obtaining unit; the preset formula comprises a corresponding relation among RSRP, edge coverage and edge rate; the preset formula comprises an uplink formula and a downlink formula; the edge coverage comprises an uplink coverage; the edge coverage comprises downlink coverage;

the acquisition unit is also used for acquiring network data acquired by at least one target terminal; the network data comprises RSRP of a target terminal, uplink edge rate of a PDCP layer of the target terminal and downlink edge rate of the PDCP layer of the target terminal, the target terminal is located in the coverage range of the established access network equipment, and the moving rate of the target terminal is greater than the preset rate;

the processing unit is further configured to determine the uplink formula according to the RSRP of each target terminal of the at least one target terminal and the uplink edge rate of the PDCP layer that are obtained by the obtaining unit;

the processing unit is further configured to determine the downlink formula according to the RSRP of each target terminal of the at least one target terminal and the downlink edge rate of the PDCP layer that are obtained by the obtaining unit;

the processing unit is specifically configured to determine a first probability and a second probability according to the RSRP of each target terminal of the at least one target terminal and the uplink edge rate of the PDCP layer that are obtained by the obtaining unit; wherein the content of the first and second substances,

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

the processing unit is specifically configured to determine the uplink coverage according to the first probability and the second probability; wherein the content of the first and second substances,

P_ULrepresenting the uplink coverage rate of the PDCP layer;

the processing unit is specifically configured to fit the uplink coverage, 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 the uplink formula; wherein the uplink formula satisfies

Indicating the uplink edge rate, RSRP_iThe RSRP of the target terminal is represented, and p00, p10, p01, p11 and p02 are all constants;

the processing unit is specifically configured to determine a third probability according to the RSRP of each target terminal of the at least one target terminal and the downlink edge rate of the PDCP layer acquired by the acquiring unit; wherein the content of the first and second substances,

the processing unit is specifically configured to determine the downlink coverage according to the second probability and the third probability; wherein the content of the first and second substances,

P_DLrepresenting the downlink coverage rate;

the processing unit is specifically configured to fit the downlink coverage, the RSRP 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 downlink formula; wherein the downlink formula satisfies

Indicating the downlink edge rate of the PDCP layer.

3. A computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of calculating edge rate of claim 1.

4. An apparatus for calculating an edge rate, 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 edge rate calculation device is running, the processor executes the computer-executable instructions stored in the memory to cause the edge rate calculation device to perform the edge rate calculation method according to claim 1.