CN115442813A - Network structure evaluation method and device, electronic equipment and storage medium - Google Patents

Abstract

The application discloses a method and a device for evaluating a network structure, electronic equipment and a storage medium, belongs to the field of communication, and can accurately evaluate the network structure in a network planning stage and improve the quality of network planning. The method comprises the following steps: acquiring measurement report data of a first network, wherein the first network is a current network in a second network pre-planned area; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to the measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point.

Description

Network structure evaluation method and device, electronic equipment and storage medium

Technical Field

The application belongs to the field of communication, and particularly relates to a method and device for network structure assessment, electronic equipment and a storage medium.

Background

At present, network planning is needed before the actual construction of a network, in order to predict the network planning effect, network coverage simulation is usually performed based on specific conditions such as a target coverage area, site scale, a selected propagation model and the like, and a network structure is evaluated by means of inter-site distance calculation, superelevation, superproximity, superdistance and the like.

However, the accuracy of the simulation method mainly depends on the selected simulation method, the propagation model, the parameter configuration, the simulation map, and the like. The propagation model has great limitation, the simulation map often lags behind the actual environment of the site, the actual environment of the site cannot be truly reflected, the overall proportion can only be controlled by adopting a station spacing, ultrahigh, ultra-near and ultra-far calculation mode, and the value standard is difficult to be matched with a specific scene. Therefore, the network structure is evaluated in a simulation mode, the accuracy is low, and more network structure problems inevitably occur after the network construction is completed. Therefore, in the related art, since the network structure cannot be accurately evaluated, a lot of network structure problems occur after the network construction is completed, and the network planning quality is low.

Disclosure of Invention

An object of the embodiments of the present application is to provide a method and an apparatus for evaluating a network structure, an electronic device, and a storage medium, which can accurately evaluate a network structure in a network planning stage, and improve the quality of network planning.

In order to solve the technical problem, the present application is implemented as follows:

in a first aspect, an embodiment of the present application provides a method for network structure evaluation, including: acquiring measurement report data of a first network, wherein the first network is a current network in a second network pre-planning area; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to the measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point.

In a second aspect, an embodiment of the present application provides an apparatus for network structure evaluation, including: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring measurement report data of a first network, and the first network is a current network in a second network pre-planned area; a first determining module, configured to determine a first cell of the first network according to the measurement report data; a second determining module, configured to determine a reference sampling point of the second network according to a measurement report sampling point of the first cell; and the execution module is used for determining a target cell of the second network according to the reference sampling point.

In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the method according to the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.

In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.

In the embodiment of the application, measurement report data of a first network is acquired, wherein the first network is a current network in a pre-planned area of a second network; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to the measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point, so that the network structure can be accurately evaluated in a network planning stage, and the quality of network planning is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a schematic flow chart diagram of a method of network structure assessment according to one embodiment of the present application;

FIG. 2 is a schematic flow chart diagram of a method of network structure assessment according to another embodiment of the present application;

FIG. 3 is a schematic flow chart diagram of a method of network structure assessment according to another embodiment of the present application;

FIG. 4 is a schematic flow chart diagram of a method of network structure assessment in accordance with another embodiment of the present application;

FIG. 5 is a schematic block diagram of an apparatus for network structure assessment according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to another embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.

The method for evaluating a network structure provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.

As shown in fig. 1, one embodiment of the present application provides a method 100 for network structure evaluation, which may be performed by a terminal device, in other words, by software or hardware installed in the terminal device, and which includes the following steps:

s110: measurement report data of a first network is obtained, wherein the first network is a current network in a pre-planned area of a second network.

It can be understood that the second network is a network to be built in the planning, and the first network is a current network in a pre-planned area of the second network, where the building is already completed. The second network version is higher than the first network.

For example, if the current network in the pre-planned area of the 5G network is a 4G network, the measurement report data of the 4G network is acquired.

S120: determining a first cell of the first network based on the measurement report data.

And acquiring information such as Reference Signal Receiving Power (RSRP) in a measurement report sampling point according to the measurement report data, and determining a first cell of the first network based on a first evaluation rule.

In one implementation, the first cell includes a problem cell of the first network, the problem cell including at least one of an overlapping coverage cell, a weak coverage cell, and an over-coverage cell. Determining a first cell of the first network from the measurement report data, including determining at least one of an overlapping coverage cell, a weak coverage cell, and an over-coverage cell of the first network based on a first evaluation rule from the measurement report data. The first evaluation rule is a preset threshold rule.

For example, according to the measurement report data, information such as RSRP in a measurement report sampling point is acquired, and an overlapping coverage cell, a weak coverage cell, and an over coverage cell of the first network are determined based on a preset threshold rule. The threshold rule can be preset according to actual network requirements. For example: and defining the cells with the overlapping coverage degree of more than 5% as overlapping coverage cells, and defining the cells with the same frequency and over coverage influence number of more than 8 as over coverage cells.

S130: and determining a reference sampling point of the second network according to the measurement report sampling point of the first cell.

And after the first cell of the first network is determined, determining a reference sampling point of the second network based on a preset mapping relation according to the measurement report sampling point of the first cell.

For example, after a first cell of the 4G network is determined, a reference sampling point of the 5G network is determined based on a preset mapping relationship according to a measurement report sampling point of the first cell. Wherein the set of measurement report sampling points for a first cell of the 4G network is

Based on a preset mapping relation, determining a set of reference sampling points of the 5G network as

In one implementation, the reference sampling point of the second network is determined based on a preset mapping relationship according to the measurement report sampling point of the problem cell of the first network.

For example, according to the measurement report sampling point of the problem cell of the 4G network, the reference sampling point of the 5G network is determined based on the preset mapping relation.

S140: and determining a target cell of the second network according to the reference sampling point.

And determining a target cell of the second network based on a second evaluation rule according to the reference sampling point.

In one implementation, the target cell includes a problem cell of the second network, the problem cell including at least one of an overlapping coverage cell, a weak coverage cell, and an over-coverage cell. Determining a target cell of the second network according to the reference sampling point, including determining at least one of an overlapping coverage cell, a weak coverage cell, and an over coverage cell of the second network based on a second evaluation rule according to the reference sampling point. The second evaluation rule is a preset threshold rule.

For example, according to the reference sampling point, based on a preset threshold rule, an overlapping coverage cell, a weak coverage cell and an over coverage cell of the second network are determined. The threshold rule can be preset according to actual network requirements. For example: and defining the cells with the overlapping coverage degree of more than 5% as overlapping coverage cells, and defining the cells with the same frequency and over coverage influence number of more than 6 as over coverage cells.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, measurement report data of a first network is obtained, wherein the first network is a current network in a second network pre-planned area; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to a measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point, and accurately evaluating the network structure of the network to be constructed based on the network structure of the current network in a network planning stage, so that the quality of network planning is improved, more network structure problems are avoided after the network construction is finished, the advance diagnosis of the network structure problems is realized, and the workload of subsequent network optimization is reduced.

As shown in fig. 2, an embodiment of the present application provides a method 200 for network structure evaluation, which may be performed by a terminal device, in other words, by software or hardware installed in the terminal device, and includes the following steps:

s211: and acquiring the work parameter information of the first network and the pre-planned work parameter information of the second network.

For example, if the network to be established in the planning is a 5G network, and the current network in the pre-planned area of the 5G network is a 4G network, the work parameter information of the 4G network and the pre-planned work parameter information of the 5G network are obtained.

S212: and determining the matching degree of the site of the first network and the pre-planned site of the second network according to the work parameter information of the first network and the pre-planned work parameter information of the second network.

Based on the work parameter information of the first network and the pre-planned work parameter information of the second network, which are obtained in step S211, a matching degree is calculated, and a matching degree between the site of the first network and the pre-planned site of the second network is determined.

In one implementation, the calculation formula for determining the matching degree between the station of the first network and the pre-planned station of the second network is: degree of matching

Wherein N is ₀ Representing the total number of pre-planned sites of the second network, N ₁ Representing the number of sites of the second network preplanned sites that match sites of the first network.

In one implementation, if the longitude and latitude of the single site of the first network and the longitude and latitude of the single pre-planned site of the second network are within a certain range, the single site of the first network and the single pre-planned site of the second network are matched. In other words, that is, the geographical locations of two sites are within a certain distance, the two sites are matched. For example, if the distance between a single 4G network site and a single pre-planned 5G network site is within 50 meters, the single 4G network site is matched with the single pre-planned 5G network site.

S213: and acquiring measurement report data of the first network under the condition that the matching degree is greater than a preset threshold value.

The higher the matching degree of the site of the first network and the pre-planned site of the second network is, the higher the accuracy of evaluating the network structure of the network to be built based on the network structure of the current network is, and the closer the evaluation result is to the real situation after the network construction is completed.

In one implementation, the preset threshold is preset by a user, and is set to 90% in order to improve the accuracy of the evaluation. That is, in the case where the matching degree is greater than 90%, measurement report data of the first network is acquired.

S220: determining a first cell of the first network according to the measurement report data.

S230: and determining a reference sampling point of the second network according to the measurement report sampling point of the first cell.

S240: and determining a target cell of the second network according to the reference sampling point.

Steps S220-S240 may adopt the descriptions of steps S120-S140 in the embodiment of fig. 1, and are not described herein again.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, measurement report data of a first network is obtained, wherein the first network is a current network in a second network pre-planned area; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to a measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point, and accurately evaluating the network structure of the network to be constructed based on the network structure of the current network in a network planning stage, so that the quality of network planning is improved, more network structure problems are avoided after the network construction is finished, the advance diagnosis of the network structure problems is realized, and the workload of subsequent network optimization is reduced.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, the working parameter information of the first network and the pre-planned working parameter information of the second network are obtained; determining the matching degree of the site of the first network and the pre-planned site of the second network according to the work parameter information of the first network and the pre-planned work parameter information of the second network; and under the condition that the matching degree is greater than a preset threshold value, acquiring measurement report data of the first network, so that the accuracy of network structure evaluation can be further improved, the evaluation result is closer to the real condition after the network construction is finished, and the quality of network planning is improved.

As shown in fig. 3, one embodiment of the present application provides a method 300 of network structure evaluation, which may be performed by a terminal device, in other words, by software or hardware installed in the terminal device, the method including the steps of:

s310: the method comprises the steps of obtaining measurement report data of a first network, wherein the first network is a current network in a second network planned area.

S320: determining a first cell of the first network according to the measurement report data.

Steps S310 to S320 may adopt the descriptions of steps S110 to S120, and step S310 may also adopt the descriptions of steps S211 to S213 in the embodiment of fig. 2, which are not described herein again.

S330: and determining reference sampling points of the second network according to the sampling points and the mapping factors of the rasterized measurement report of the first cell.

For example, after a first cell of the 4G network is determined, reference sample points of the 5G network are determined based on a preset mapping relationship according to rasterized measurement report sample points and mapping factors of the first cell.

Wherein the first smallThe set of rasterized measurement report sample points for a region is

Based on a preset mapping relation, determining a set of reference sampling points of the 5G network as

Wherein, the first and the second end of the pipe are connected with each other,

and

representing the rasterized measurement report sample for the 4G network and the reference sample for the 5G network, respectively.

In one implementation, the mapping factor includes at least one of: base station transmit power differences, feeder loss differences, base station transmit antenna gain differences, path loss differences, terminal receive antenna gain differences, other mapping impact factors. The mapping relation is as follows: x _5G ＝X _4G +T _{power_n} +T _feeder +T _{gain_t} +T _path ++T _{gain_r} +T _other . Wherein, T _{power_n} The difference of the transmitting power of the base station of the current 4G network and the base station of the 5G network to be built is obtained; t is a unit of _feeder The difference of the feeder loss of the current 4G network and the feeder loss of the 5G network to be constructed is obtained; t is a unit of _{gain_t} Transmitting antenna gain difference for the base station of the current 4G network and the 5G network to be built; t is _path The path loss difference between the current 4G network and the 5G network to be built is obtained; t is _{gain_r} Receiving antenna gain difference for the terminals of the current 4G network and the 5G network to be built; t is a unit of _other For other mapping impact factors.

In one implementation, the base station transmit power difference, the feeder loss difference, and the terminal receive antenna gain difference may be obtained according to a network design scheme. The base station transmitting antenna gain difference is determined according to azimuth information and antenna gain information, and the path loss difference is determined based on a space propagation model. The other mapping influence factors comprise interference margin, shadow fading margin, resource block allocation algorithm, scheduling mode, channel modulation method, downward inclination angle setting, high antenna hanging and other related difference values. The difference values of the interference margin, the shadow fading margin, the resource block allocation algorithm, the scheduling mode, the channel modulation method and the like can be determined according to a simulation value of a manufacturer or a laboratory, and the difference of the downward inclination angle setting and the antenna hanging height can be determined according to a field test and a simulation.

S340: and determining a target cell of the second network according to the reference sampling point.

The step may adopt the description of step S140 in the embodiment of fig. 1, and is not described herein again.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, measurement report data of a first network is obtained, wherein the first network is a current network in a second network pre-planned area; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to the measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point, and accurately evaluating the network structure of the network to be constructed based on the network structure of the current network in a network planning stage, so that the quality of network planning is improved, more network structure problems are avoided after the network construction is finished, the advance diagnosis of the network structure problems is realized, and the workload of subsequent network optimization is reduced.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, the reference sampling point of the second network is determined according to the sampling point and the mapping factor of the rasterized measurement report of the first cell, so that the network cell can be conveniently mapped into an actual geographic environment, the evaluation result of the network structure is closer to the real situation after the network construction is finished, and the quality of network planning is improved.

As shown in fig. 4, one embodiment of the present application provides a method 400 for network structure evaluation, which may be performed by a terminal device, in other words, by software or hardware installed in the terminal device, and which includes the following steps:

s410: measurement report data of a first network is obtained, wherein the first network is a current network in a pre-planned area of a second network.

S420: determining a first cell of the first network according to the measurement report data.

S430: and determining a reference sampling point of the second network according to the measurement report sampling point of the first cell.

S440: and determining a target cell of the second network according to the reference sampling point.

Steps S410 to S440 may adopt descriptions of steps S110 to S140 in the embodiment of fig. 1, step S410 may also adopt descriptions of steps S211 to S213 in the embodiment of fig. 2, and step S430 may also adopt descriptions of step S330 in the embodiment of fig. 3, which are not described again here.

S450: and optimizing the work parameter information of the target cell.

For example, the target cell is a problem cell of a 5G network, and the working parameter information of the problem cell is optimized. The problem cell includes at least one of an overlapping coverage cell, a weak coverage cell, and an over-coverage cell. The optimization mode of the 5G network over-coverage cell comprises increasing a downward inclination angle or reducing the hanging height of a co-location station of the 5G network by combining the field condition of a 4G network station. The optimization mode of the weak coverage cell of the 5G network comprises reducing the low dip angle or improving the hanging height of the co-location station of the 5G network by combining the field condition of the site of the 4G network. The optimization mode of the 5G network repeated coverage cell comprises comprehensive joint adjustment according to the cell downtilt angle, the power setting and the like influenced by the overlapping coverage.

The method realizes timely and effective optimization of the work parameter information in the network planning scheme in the network planning stage, and reduces the workload of subsequent network optimization.

S460: and saving the optimized second network planning scheme.

And after the work parameter information of the target cell is optimized, updating and storing a second network planning scheme based on the optimized work parameter information.

In an implementation manner, before the step S460, the optimized planning scheme is further evaluated according to an overall index statistical method and a regional index statistical method, respectively. And the regional indexes are local index statistics on the cells, the overall index statistics is index statistics on the whole planning scheme, whether the planning requirement indexes are met or not is judged, and secondary evaluation and optimization adjustment are carried out if the planning requirement indexes are not met until the planning indexes are met. And after the planning index is met, storing the finally optimized second network planning scheme. Therefore, the network preplanning scheme can be further optimized in the network planning stage.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, measurement report data of a first network is obtained, wherein the first network is a current network in a second network pre-planned area; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to the measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point, and accurately evaluating the network structure of the network to be constructed based on the network structure of the current network in a network planning stage, so that the quality of network planning is improved, more network structure problems are avoided after the network construction is finished, the advance diagnosis of the network structure problems is realized, and the workload of subsequent network optimization is reduced.

Therefore, according to the method for evaluating the network structure provided by the embodiment of the application, the working parameter information of the target cell is optimized; the optimized second network planning scheme is stored, the network structure can be optimized based on the network structure evaluation result, the problem that more network structures appear after the network construction is completed is avoided, and the workload of subsequent network optimization is reduced.

Fig. 5 is a schematic structural diagram of an apparatus for network structure evaluation according to an embodiment of the present application. As shown in fig. 5, the apparatus 500 for network structure evaluation comprises: an obtaining module 510, a first determining module 520, a second determining module 530, and an executing module 540.

An obtaining module 510, configured to obtain measurement report data of a first network, where the first network is a current network in a pre-planned area of a second network. A first determining module 520, configured to determine a first cell of the first network according to the measurement report data. A second determining module 530, configured to determine a reference sampling point of the second network according to the measurement report sampling point of the first cell. And an executing module 540, configured to determine a target cell of the second network according to the reference sampling point.

In an implementation manner, the obtaining module 510 is configured to obtain the work parameter information of the first network and the pre-planned work parameter information of the second network; determining the matching degree of the site of the first network and the pre-planned site of the second network according to the work parameter information of the first network and the pre-planned work parameter information of the second network; and acquiring measurement report data of the first network under the condition that the matching degree is greater than a preset threshold value.

In one implementation, the second determining module 530 is configured to determine the reference sampling points of the second network according to the rasterized measurement report sampling points of the first cell and a mapping factor.

In one implementation, the module 540 is further configured to optimize the power parameter information of the target cell; and saving the optimized second network planning scheme.

The device for network structure evaluation in the embodiment of the present application may be a device, and may also be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.

The device for network structure evaluation in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an ios operating system, or other possible operating systems, which is not specifically limited in the embodiment of the present application.

The apparatus 500 according to the embodiment of the present application may refer to the flows corresponding to the methods 100 to 400 in the embodiment of the present application, and each unit/module and the other operations and/or functions described above in the apparatus 500 are respectively for realizing the corresponding flows in the methods 100 to 400 and achieving the same or equivalent technical effects, and are not described herein again for brevity.

Fig. 6 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 600 includes, but is not limited to: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, a display unit 606, a user input unit 607, an interface unit 608, a memory 609, a processor 610, and the like.

Those skilled in the art will appreciate that the electronic device 600 may further comprise a power source (e.g., a battery) for supplying power to the various components, and the power source may be logically connected to the processor 610 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structures shown in the figures do not constitute limitations of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is not repeated here.

It is to be understood that, in the embodiment of the present application, the input Unit 604 may include a Graphics Processing Unit (GPU) 6041 and a microphone 6042, and the Graphics Processing Unit 6041 processes image data of a still picture or a video obtained by an image capturing apparatus (such as a camera) in a video capturing mode or an image capturing mode. The display unit 606 may include a display panel 6061, and the display panel 6061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 607 includes a touch panel 6071 and other input devices 6072. A touch panel 6071, also referred to as a touch screen. The touch panel 6071 may include two parts of a touch detection device and a touch controller. Other input devices 6072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.

In the embodiment of the present application, the radio frequency unit 601 receives downlink data from a network side device and then processes the downlink data in the processor 610; in addition, the uplink data is sent to the network side equipment. In general, radio frequency unit 601 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 609 may be used to store software programs or instructions as well as various data. The memory 609 may mainly include a program or instruction storage area and a data storage area, wherein the program or instruction storage area may store an operating system, an application program or instruction required for at least one function (such as a sound playing function, an image playing function, etc.), and the like. In addition, the memory 609 may include a high-speed random access memory, and may further include a nonvolatile memory, wherein the nonvolatile memory may be a Read-only memory (ROM), a programmable Read-only memory (PROM), an erasable programmable Read-only memory (erasabprom, EPROM), an electrically erasable programmable Read-only memory (EEPROM), or a flash memory. Such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.

Processor 610 may include one or more processing units; alternatively, the processor 610 may integrate an application processor, which primarily handles operating system, user interface, and applications or instructions, etc., and a modem processor, which primarily handles wireless communications, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 610.

The processor 610 is configured to obtain measurement report data of a first network, where the first network is a current network in a pre-planned area of a second network; determining a first cell of the first network according to the measurement report data; determining a reference sampling point of the second network according to the measurement report sampling point of the first cell; and determining a target cell of the second network according to the reference sampling point.

In one implementation, the processor 610 is configured to obtain the work parameter information of the first network and the pre-planned work parameter information of the second network; determining the matching degree of the site of the first network and the pre-planned site of the second network according to the work parameter information of the first network and the pre-planned work parameter information of the second network; and acquiring measurement report data of the first network under the condition that the matching degree is greater than a preset threshold value.

In one implementation, the processor 610 is configured to determine reference sampling points for the second network according to the rasterized measurement report sampling points for the first cell and a mapping factor.

In one implementation, the processor 610 is configured to optimize the power reference information of the target cell; and saving the optimized second network planning scheme.

The electronic device 600 according to the embodiment of the present application may refer to the processes corresponding to the methods 100 to 400 of the embodiment of the present application, and each unit/module and the other operations and/or functions in the electronic device 600 are respectively for implementing the corresponding processes in the methods 100 to 400, and can achieve the same or equivalent technical effects, and are not repeated herein for brevity.

An embodiment of the present application further provides a computer-readable storage medium, where a program or an instruction is stored on the computer-readable storage medium, and when the program or the instruction is executed by a processor, the process of the embodiment of the method for switching an antenna is implemented, and the same technical effect can be achieved.

The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.

The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction to implement each process of the above method for switching antennas, and can achieve the same technical effect, and is not described herein again to avoid repetition.

It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as a system-on-chip, or a system-on-chip.

Embodiments of the present application further provide a computer program product comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, which when executed by the processor implement the steps of the method according to the first aspect.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatuses in the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions recited, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A method for network fabric evaluation, the method comprising:

acquiring measurement report data of a first network, wherein the first network is a current network in a second network pre-planned area;

determining a first cell of the first network according to the measurement report data;

determining a reference sampling point of the second network according to a measurement report sampling point of the first cell;

and determining a target cell of the second network according to the reference sampling point.

2. The method of claim 1, wherein determining the reference sampling point for the second network from the measurement report sampling points for the first cell comprises: determining reference sampling points for the second network from the rasterized measurement report sampling points for the first cell and mapping factors, wherein the mapping factors include at least one of:

base station transmit power difference;

feeder loss difference;

base station transmit antenna gain difference;

a path loss difference;

receiving antenna gain difference by the terminal;

other mapping impact factors.

3. The method of claim 2, wherein the base station transmit antenna gain difference is determined based on azimuth information and antenna gain information, and wherein the path loss difference is determined based on a spatial propagation model.

4. The method of claim 1, wherein obtaining measurement report data for the first network comprises:

acquiring work parameter information of the first network and pre-planned work parameter information of the second network;

determining the matching degree of the site of the first network and the pre-planned site of the second network according to the work parameter information of the first network and the pre-planned work parameter information of the second network;

and acquiring measurement report data of the first network under the condition that the matching degree is greater than a preset threshold value.

5. The method of claim 1, wherein the first cell and the target cell comprise problem cells of the first network and the second network, respectively, and wherein the problem cells comprise at least one of overlapping coverage cells, weak coverage cells, and over-coverage cells.

6. The method of claim 1, wherein after determining the target cell of the second network, the method comprises:

optimizing the work parameter information of the target cell;

and saving the optimized second network planning scheme.

7. An apparatus for network structure assessment, the apparatus comprising:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring measurement report data of a first network, and the first network is a current network in a second network pre-planned area;

a first determining module, configured to determine a first cell of the first network according to the measurement report data;

a second determining module, configured to determine a reference sampling point of the second network according to a measurement report sampling point of the first cell;

and the execution module is used for determining a target cell of the second network according to the reference sampling point.

8. The apparatus of claim 7, wherein the second determining module is configured to determine the reference sampling points of the second network according to the rasterized measurement report sampling points of the first cell and a mapping factor, wherein the mapping factor comprises at least one of:

base station transmit power difference;

feeder loss difference;

base station transmit antenna gain difference;

a path loss difference;

receiving antenna gain difference by the terminal;

other mapping impact factors.

9. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method of any of claims 1-6.

10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1-6.

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