CN114727321B - A network optimization method, device, electronic device and storage medium - Google Patents

Abstract

The present invention provides a network optimization method, device, electronic device and storage medium, which relate to the field of communication technology, and solve the technical problem that the method of network optimization based on only one parameter, MOS, in the related technology may not be comprehensive and cannot quickly and effectively guarantee the call quality of the terminal when performing voice services. The method includes: determining the wireless environment information of the first terminal at each of multiple moments and the wireless environment information of the second terminal at each moment; determining the MOS of the first terminal at each moment and the MOS of the second terminal at each moment; generating a first corresponding relationship and a second corresponding relationship; optimizing the target network based on the first corresponding relationship and/or the second corresponding relationship.

Description

A network optimization method, device, electronic device and storage medium

Technical Field

The present invention relates to the field of communication technology, and in particular to a network optimization method, device, electronic equipment and storage medium.

Background technique

At present, the mean opinion score (MOS) can be used to evaluate the call quality of the terminal when performing voice services. Specifically, a higher MOS indicates that the call quality of the terminal is better and the user can hear more clearly. A lower MOS indicates that the call quality of the terminal is poor and the user may not hear clearly. The network where the terminal with a lower MOS is located can be optimized.

However, in the above methods, the method of performing network optimization relying only on the MOS parameter may not be comprehensive and cannot quickly and effectively guarantee the call quality of the terminal when performing voice services.

Summary of the invention

The present invention provides a network optimization method, device, electronic device and storage medium, which solves the technical problem that the method of network optimization relying only on MOS parameter in the related art may not be comprehensive and cannot quickly and effectively guarantee the call quality when the terminal performs voice services.

In a first aspect, the present invention provides a network optimization method, comprising: determining wireless environment information of a first terminal at each of a plurality of moments and wireless environment information of a second terminal at each of the moments, the wireless environment information comprising a reference signal received power RSRP and a signal to interference plus noise ratio SINR, the plurality of moments being moments included in a preset time period, the first terminal transmitting voice samples with the second terminal within the preset time period; determining an average subjective opinion score MOS of the first terminal at each moment and a MOS of the second terminal at each moment; generating a first corresponding relationship and a second corresponding relationship, the first corresponding relationship comprising an RSRP of the first terminal at each moment and a MOS corresponding to the RSRP at each moment, the second corresponding relationship comprising an SINR of the first terminal at each moment and a MOS corresponding to the SINR at each moment, the MOS corresponding to the RSRP of the first terminal at each moment being the MOS of the second terminal at each moment, and the MOS corresponding to the SINR of the first terminal at each moment being the MOS of the first terminal at each moment; optimizing the target network based on the first corresponding relationship and/or the second corresponding relationship.

Optionally, the above-mentioned determination of the MOS of the first terminal at each moment specifically includes: obtaining at least one MOS included in the first terminal within the preset time period; determining the moment corresponding to each MOS in the at least one MOS; when there is no corresponding MOS at the first moment, determining the MOS corresponding to the second moment as the MOS of the first terminal at the first moment, the first moment is one of the multiple moments, and the second moment is the first moment after the first moment where the corresponding MOS exists.

Optionally, the above-mentioned optimization of the target network based on the first corresponding relationship specifically includes: dividing multiple RSRPs into at least two RSRP intervals according to a preset step size, each of the at least two RSRP intervals includes a minimum RSRP and a maximum RSRP, and the multiple RSRPs are the RSRPs included in the first corresponding relationship; determining the MOS corresponding to each RSRP interval according to the MOS corresponding to each RSRP included in each RSRP interval; determining the maximum RSRP in the target RSRP interval as the minimum RSRP of the target network, the target RSRP interval is one of at least one RSRP interval corresponding to the preset MOS, the preset MOS is the minimum MOS of the target network, the minimum RSRP in the target RSRP interval is less than the minimum RSRP in other RSRP intervals, and the other RSRP intervals are RSRP intervals in the at least one RSRP interval except the target RSRP interval.

Optionally, the current moment is one of the above-mentioned multiple moments, and determining the RSRP of the current moment specifically includes: obtaining at least two RSRPs included in a preset time length, and the preset time length is the difference between the next moment of the current moment and the current moment; and determining the average value of the at least two RSRPs as the RSRP of the current moment.

In a second aspect, the present invention provides a network optimization device, comprising: a determination module and a processing module; the determination module is used to determine the wireless environment information of a first terminal at each of a plurality of moments and the wireless environment information of a second terminal at each of the moments, the wireless environment information comprising a reference signal received power RSRP and a signal to interference plus noise ratio SINR, the plurality of moments being moments included in a preset time period, and the first terminal transmitting a voice sample with the second terminal within the preset time period; the determination module is also used to determine the average subjective opinion score MOS of the first terminal at each moment and the MOS of the second terminal at each moment; the processing module is used to generate a first corresponding relationship and a second corresponding relationship, the first corresponding relationship comprising the RSRP of the first terminal at each moment and the MOS corresponding to the RSRP at each moment, the second corresponding relationship comprising the SINR of the first terminal at each moment and the MOS corresponding to the SINR at each moment, the MOS corresponding to the RSRP of the first terminal at each moment is the MOS of the second terminal at each moment, and the MOS corresponding to the SINR of the first terminal at each moment is the MOS of the first terminal at each moment; the processing module is also used to optimize the target network based on the first corresponding relationship and/or the second corresponding relationship.

Optionally, the above-mentioned network optimization device also includes: an acquisition module; the acquisition module is used to acquire at least one MOS included in the first terminal within the preset time period; the determination module is specifically used to determine the moment corresponding to each MOS in the at least one MOS; the determination module is also specifically used to determine the MOS corresponding to the second moment as the MOS of the first terminal at the first moment when there is no corresponding MOS at the first moment, the first moment is one of the multiple moments, and the second moment is the first moment after the first moment where the corresponding MOS exists.

Optionally, the processing module is specifically used to divide multiple RSRPs into at least two RSRP intervals according to a preset step size, each of the at least two RSRP intervals includes a minimum RSRP and a maximum RSRP, and the multiple RSRPs are the RSRPs included in the first corresponding relationship; the determination module is specifically used to determine the MOS corresponding to each RSRP interval according to the MOS corresponding to each RSRP included in each RSRP interval; the determination module is also specifically used to determine the maximum RSRP in the target RSRP interval as the minimum RSRP of the target network, the target RSRP interval is one of at least one RSRP interval corresponding to the preset MOS, the preset MOS is the minimum MOS of the target network, the minimum RSRP in the target RSRP interval is less than the minimum RSRP in other RSRP intervals, and the other RSRP intervals are RSRP intervals in the at least one RSRP interval except the target RSRP interval.

Optionally, the current moment is one of the above-mentioned multiple moments; the acquisition module is used to obtain at least two RSRPs included in a preset time length, and the preset time length is the difference between the next moment of the current moment and the current moment; the determination module is specifically used to determine the average value of the at least two RSRPs as the RSRP of the current moment.

In a third aspect, the present invention provides an electronic device comprising: a processor and a memory configured to store processor executable instructions; wherein the processor is configured to execute the instructions to implement any one of the optional network optimization methods in the first aspect above.

In a fourth aspect, the present invention provides a computer-readable storage medium having instructions stored thereon. When the instructions in the computer-readable storage medium are executed by an electronic device, the electronic device is enabled to execute any one of the optional network optimization methods in the first aspect described above.

The network optimization method, device, electronic device and storage medium provided by the present invention can determine the wireless environment information (including RSRP and SINR) of the first terminal at each of multiple moments and the wireless environment information of the second terminal at each moment, and determine the MOS of the first terminal at each moment and the MOS of the second terminal at each moment; then the electronic device can generate a first corresponding relationship and a second corresponding relationship, and optimize the target network based on the first corresponding relationship and/or the second corresponding relationship. In the present invention, since the first corresponding relationship includes the RSRP of the first terminal at each moment and the MOS corresponding to the RSRP at each moment (specifically the MOS of the second terminal at each moment), the second corresponding relationship includes the SINR of the first terminal at each moment and the MOS corresponding to the SINR at each moment (specifically the MOS of the first terminal at each moment), that is, the electronic device can associate the wireless environment of the first terminal (specifically RSRP) with the MOS of the second terminal, and associate the wireless environment of the first terminal (specifically SINR) with the MOS of the first terminal, which can accurately characterize the relationship between the wireless environment and the call quality. In this way, the electronic device can optimize the network based on the parameters included in the first corresponding relationship (and/or the second corresponding relationship), specifically MOS and RSRP (and/or SINR), which can effectively ensure the call quality when the terminal performs voice services and improve user satisfaction.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

FIG1 is a schematic diagram of a network architecture of a network optimization system provided by an embodiment of the present invention;

FIG2 is a schematic diagram of a flow chart of a network optimization method provided by an embodiment of the present invention;

FIG3 is a schematic diagram of a voice sample transmission between terminals provided by an embodiment of the present invention;

FIG4 is a schematic diagram of the correspondence between RSRP and MOS in a VoLTE service provided in an embodiment of the present invention;

FIG5 is a schematic diagram of the correspondence between SINR and MOS in a VoLTE service provided in an embodiment of the present invention;

FIG6 is a schematic diagram of a flow chart of another network optimization method provided by an embodiment of the present invention;

FIG7 is a schematic diagram of a flow chart of another network optimization method provided by an embodiment of the present invention;

FIG8 is a schematic diagram of a MOS corresponding to each RSRP interval provided by an embodiment of the present invention;

FIG9 is a schematic diagram of each SINR interval and a MOS corresponding to each SINR interval provided by an embodiment of the present invention;

FIG10 is a schematic diagram of a flow chart of another network optimization method provided by an embodiment of the present invention;

FIG11 is a schematic diagram of the structure of a network optimization device provided by an embodiment of the present invention;

FIG. 12 is a schematic diagram of the structure of another network optimization device provided in an embodiment of the present invention.

Detailed ways

The network optimization method, device, electronic device and storage medium provided by the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

The terms "first" and "second" in the specification and drawings of this application are used to distinguish different objects rather than to describe a specific order of the objects. For example, the first terminal and the second terminal are used to distinguish different terminals rather than to describe a specific order of the terminals.

In addition, the terms "including" and "having" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

The term "and/or" used in the present application includes using either or both methods at the same time.

In the description of the present application, unless otherwise specified, “plurality” means two or more.

Based on the description in the background technology, in the related technology, the method of network optimization relying only on MOS as a parameter may not be comprehensive, and it is impossible to quickly and effectively guarantee the call quality of the terminal when performing voice services. Based on this, the embodiment of the present invention provides a network optimization method, device, electronic device and storage medium. Since the first corresponding relationship includes the RSRP of the first terminal at each moment and the MOS corresponding to the RSRP at each moment (specifically the MOS of the second terminal at each moment), the second corresponding relationship includes the SINR of the first terminal at each moment and the MOS corresponding to the SINR at each moment (specifically the MOS of the first terminal at each moment), that is, the electronic device can associate the wireless environment of the first terminal (specifically RSRP) with the MOS of the second terminal, and associate the wireless environment of the first terminal (specifically SINR) with the MOS of the first terminal, which can accurately characterize the relationship between the wireless environment and the call quality. In this way, the electronic device can optimize the network based on the parameters included in the first corresponding relationship (and/or the second corresponding relationship), specifically MOS and RSRP (and/or SINR), which can effectively guarantee the call quality of the terminal when performing voice services and improve user satisfaction.

A network optimization method, device, electronic device, and storage medium provided in an embodiment of the present invention can be applied to a network optimization system. As shown in FIG1 , the network optimization system includes a terminal 101, a terminal 102, a server 103, an electronic device 104, and a server 105. Generally, in practical applications, the connection between the above-mentioned devices or service functions can be a wireless connection. In order to conveniently and intuitively represent the connection relationship between the various devices, FIG1 is illustrated by solid lines.

The terminal 101 may obtain a voice sample from the server 103 , and send the voice sample to the terminal 102 via a related network device (not shown in the figure).

After receiving the voice sample, the terminal 102 records the voice data corresponding to the voice sample and sends the voice data to the server 103 .

In the embodiment of the present invention, the terminal 101 and the terminal 102 are further configured to obtain respective wireless environment information, where the wireless environment information includes reference signal receiving power (RSRP) and signal to interference plus noise ratio (SINR).

The server 103 is used to compare the voice sample and the voice data to obtain the MOS of the voice service between the terminal 101 and the terminal 102 , and send the MOS to the electronic device 104 .

The electronic device 104 is used to receive the MOS sent by the server 103 , the wireless environment information of the terminal 101 (and the terminal 102 ) sent by the terminal 101 (and the terminal 102 ), and the location information corresponding to each wireless environment information sent by the server 105 .

The server 105 is used to determine the location information corresponding to each wireless environment information, and send the location information corresponding to each wireless environment information to the electronic device 104 .

Optionally, the server 103 may be a MOS box, and the server 105 may be a global positioning system (GPS) server.

It should be noted that the number of each device shown in FIG. 1 is only an example of the embodiment of the present invention, and the embodiment of the present invention does not specifically limit the number of the above-mentioned each device.

For example, the electronic device 104 may be a mobile phone, tablet computer, desktop, laptop, handheld computer, notebook computer, ultra-mobile personal computer (UMPC), netbook, cellular phone, personal digital assistant (PDA), augmented reality (AR)\virtual reality (VR) device, etc. The present invention does not impose any special restrictions on the specific form of the electronic device 104. It can interact with the user through one or more methods such as keyboard, touch pad, touch screen, remote control, voice interaction or handwriting device.

Optionally, the electronic device 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, network acceleration services (content delivery network, CDN), as well as big data and artificial intelligence platforms.

The network optimization method, device, electronic device, and storage medium provided by the embodiments of the present invention are applied to a scenario in which a voice call is made between a terminal (e.g., a first terminal) and another terminal (e.g., a second terminal). Specifically, after determining the wireless environment information of the first terminal at each of multiple moments and the wireless environment information of the second terminal at each of the moments, the electronic device can optimize the target network based on the generated first corresponding relationship and/or the second corresponding relationship.

As shown in FIG. 2 , the network optimization method provided by the embodiment of the present invention may include S101 - S104 .

S101. An electronic device determines wireless environment information of a first terminal at each of a plurality of moments and wireless environment information of a second terminal at each moment.

The wireless environment information includes RSRP and SINR, the multiple moments are moments included in a preset time period, and the first terminal transmits voice samples with the second terminal within the preset time period.

It should be understood that the transmission of the voice sample between the first terminal and the second terminal within the preset time period is a voice call between the first terminal and the second terminal within the preset time period. The voice service data transmitted when the first terminal and the second terminal have a voice call is the above-mentioned voice sample. Specifically, the first terminal and the second terminal can complete the communication process between the first terminal and the second terminal and the transmission process of the voice sample through the corresponding network device.

It can be understood that the electronic device determines the wireless environment information of the first terminal at each moment, that is, determines the RSRP of the first terminal at each moment and the SINR of the first terminal at each moment.

In an embodiment of the present invention, the RSRP of the first terminal at a certain moment can be understood as the signal strength (or field strength) of the first terminal at that moment, and the SINR of the first terminal at a certain moment can be understood as the signal quality (or interference situation) of the first terminal at that moment. In an embodiment of the present invention, an electronic device can determine the network quality of the network in which the first terminal is located based on the RSRP (and/or SINR) of the first terminal at a certain moment. Specifically, when the RSRP is large and the SINR is small, it means that the network quality is better.

In one implementation of an embodiment of the present invention, the above-mentioned first terminal can be placed on the top of a mobile test device, which can be an unmanned vehicle, a drone or an ordinary test vehicle. The first terminal needs to be exposed to the outdoors without obstruction to avoid the loss and error of wireless signals due to obstruction. The second terminal can also be placed at an optimal point of a related network device (such as a base station). Specifically, the mobile test device can move in each line included in the target area (i.e., the area corresponding to the target network) at a certain moving speed (for example, the moving speed can be less than or equal to 40 kilometers per hour). During the movement, the first terminal can initiate voice services and transmit voice samples with the second terminal through the network device.

It should be noted that the RSRP of the above-mentioned best point should be greater than or equal to the RSRP threshold (for example, -70dbm (decibel milliwatt)), and the SINR of the best point should be less than or equal to the SINR threshold (for example, 30db (decibel)).

Exemplarily, as shown in FIG3 , it is assumed that terminal 201 is the first terminal and terminal 203 is the second terminal. Terminal 201 can send a voice sample to network device 202 in uplink direction 1 (i.e., the uplink direction between terminal 201 and network device 202), and then the network device 202 can send the voice sample to terminal 203 in downlink direction 1 (i.e., the downlink direction between network device 202 and terminal 203). Terminal 203 can send a voice sample to network device 202 in uplink direction 2 (i.e., the uplink direction between terminal 203 and network device 202), and then the network device 202 can send the voice sample to terminal 201 in downlink direction 2 (i.e., the downlink direction between network device 202 and terminal 201).

S102: The electronic device determines the MOS of the first terminal at each moment and the MOS of the second terminal at each moment.

It should be understood that the MOS of the first terminal at a certain moment can represent the call quality of the terminal at that moment. Specifically, when the MOS of the first terminal at that moment is higher, it means that the call quality of the first terminal at that moment is better; when the MOS of the first terminal at that moment is lower, it means that the call quality of the first terminal at that moment is poor.

For example, the following Table 1 is an example of MOS and user satisfaction provided by an embodiment of the present invention. Specifically, the call quality can be divided into excellent, good, medium, poor and bad.

Table 1

conversation quality MOS customer satisfaction excellent (4.0, 5.0] Very good, can be heard clearly, without distortion or delay good (3.5, 4.0] Slightly worse, can be heard clearly, small delay, some noise middle (2.5, 3.5] It's OK, but I can't hear it clearly. There is a certain delay and distortion. Difference (1.5, 2.5] Barely, can't hear clearly, there is a lot of noise, and the distortion is serious inferior (0.0, 1.5] Very bad, silent or completely unclear, with a lot of noise

Assume that the MOS of the first terminal at a certain moment is 4.5, which means that the call quality of the first terminal at that moment is excellent, and the user satisfaction of the user using the first terminal at that moment is: very good, very clear, without distortion or delay.

In one implementation of the embodiment of the present invention, voice services with different voice coding rates may correspond to different MOS under different RSRP (or SINR). Specifically, if the voice coding rate of a first voice service is greater than the voice coding rate of a second voice service, the MOS of the first voice service is greater than the MOS of the second voice service under the same RSRP (or the same SINR).

Exemplarily, the voice over long term evolution (VoLTE) service can be divided into adaptive multi-rate narrowband speech codec (AMR-NB) 12.2kbps (kilobits per second) service, adaptive multi-rate wideband speech codec (AMR-WB) 12.65kbps service and AMR-WB 23.85kbps service.

As shown in Figures 4 and 5, they are respectively the corresponding schematic diagrams of RSRP and MOS in VoLTE services and the corresponding schematic diagrams of SINR and MOS in VoLTE services. Specifically, line L1 is used to represent the AMR-WB 23.85kbps service, line L2 is used to represent the AMR-WB 12.65kbps service, and line L3 is used to represent the AMR-NB 12.2kbps service.

It should be noted that the embodiment of the present invention does not limit the execution order of the above S101 and S102. For example, S101 may be executed first and then S102, or S102 may be executed first and then S101, or S101 and S102 may be executed simultaneously. FIG2 takes S101 being executed first and then S102 as an example.

S103: The electronic device generates a first corresponding relationship and a second corresponding relationship.

Among them, the first corresponding relationship includes the RSRP of the above-mentioned first terminal at each of the above-mentioned moments and the MOS corresponding to the RSRP at each moment, the second corresponding relationship includes the SINR of the above-mentioned second terminal at each moment and the MOS corresponding to the SINR at each moment, the MOS corresponding to the RSRP at each moment is the MOS of the second terminal at each moment, and the MOS corresponding to the SINR at each moment is the MOS of the first terminal at each moment.

In combination with the description of the above embodiments, it should be understood that the electronic device can determine the RSRP of the first terminal at each moment, the SINR of the first terminal at each moment, the RSRP of the second terminal at each moment, and the SINR of the second terminal at each moment.

It can be understood that RSRP is used to reflect the situation of the uplink channel (or uplink direction), and SINR is used to reflect the situation of the downlink channel (or downlink direction). Since the above-mentioned second terminal is located at the best point of the network device, the downlink direction between the network device and the second terminal (i.e., the downlink direction 1 in the above-mentioned Figure 3) and the uplink direction between the second terminal and the network device (i.e., the uplink direction 2 in the above-mentioned Figure 3) may not be considered in the embodiment of the present invention, that is, the SINR of the second terminal and the RSRP of the second terminal may not be considered in the embodiment of the present invention. In this way, the electronic device can associate the RSRP of the first terminal at each moment with the MOS of the second terminal at each moment to generate the above-mentioned first corresponding relationship, and associate the SINR of the first terminal at each moment with the MOS of the first terminal at each moment to generate the above-mentioned second corresponding relationship.

In the embodiment of the present invention, since the RSRP of the first terminal at each moment and the SINR of the first terminal at each moment are the information (or parameters) included in the wireless environment information of the first terminal at each moment, that is, the RSRP of the first terminal at each moment and the SINR of the first terminal at each moment can characterize the wireless environment in which the first terminal is located. In this way, the electronic device can associate the wireless environment in which the first terminal is located with the call quality (including the MOS of the first terminal at each moment and the MOS of the second terminal at each moment), and can accurately characterize the relationship between the wireless environment and the call quality.

Exemplarily, the following Table 2 is an example of the first correspondence provided by an embodiment of the present invention. The first correspondence includes 8 moments (specifically, 1 second (s) represents one moment). Specifically, the RSRP of the first terminal at 10:08:01 is -89.39dbm, and the MOS of the second terminal at 10:08:01 is 4.29. Other RSRP and MOS included in the first correspondence can be obtained from Table 2, which will not be repeated here.

Table 2

time MOS RSRP(dbm) 10:08:01 4.29 -92.26 10:08:02 4.29 -92.93 10:08:03 4.29 -93.02 10:08:04 4.29 -93.07 10:08:05 3.95 -97.44 10:08:06 3.95 -94.18 10:08:07 3.95 -97.06 10:08:08 3.95 -97.05

S104: The electronic device optimizes the target network based on the first corresponding relationship and/or the second corresponding relationship.

It should be understood that the target network is the communication network where the first terminal and the second terminal are located, and can also be understood as the network covered by the above-mentioned network device. In an embodiment of the present invention, the electronic device optimizes the target network based on the first corresponding relationship, that is, based on the RSRP of the first terminal included in the first corresponding relationship at each of the multiple moments and the MOS corresponding to the RSRP at each moment to optimize the target network. Specifically, all the terminals in the target network need to meet a MOS, then the electronic device can determine the RSRP that the target network needs to meet based on the RSRP corresponding to the MOS, and then perform site planning, site selection and construction based on the RSRP that needs to be met.

The technical solution provided by the above embodiment can at least bring the following beneficial effects: As can be seen from S101-S104, the electronic device can determine the wireless environment information (including RSRP and SINR) of the first terminal at each of the multiple moments and the wireless environment information of the second terminal at each moment, and determine the MOS of the first terminal at each moment and the MOS of the second terminal at each moment; then the electronic device can generate a first corresponding relationship and a second corresponding relationship, and optimize the target network based on the first corresponding relationship and/or the second corresponding relationship. In the embodiment of the present invention, since the first corresponding relationship includes the RSRP of the first terminal at each moment and the MOS corresponding to the RSRP at each moment (specifically the MOS of the second terminal at each moment), the second corresponding relationship includes the SINR of the first terminal at each moment and the MOS corresponding to the SINR at each moment (specifically the MOS of the first terminal at each moment), that is, the electronic device can associate the wireless environment of the first terminal (specifically RSRP) with the MOS of the second terminal, and associate the wireless environment of the first terminal (specifically SINR) with the MOS of the first terminal, which can accurately characterize the relationship between the wireless environment and the call quality. In this way, the electronic device can optimize the network based on the parameters included in the first corresponding relationship (and/or the second corresponding relationship), specifically MOS and RSRP (and/or SINR), which can effectively ensure the call quality when the terminal performs voice services and improve user satisfaction.

In combination with FIG. 2 , as shown in FIG. 6 , in an implementation manner of the embodiment of the present invention, the electronic device determines the MOS of the first terminal at each moment, which may specifically include S1021 - S1023 .

S1021. The electronic device obtains at least one MOS included in the first terminal within a preset time period.

In combination with the above description about FIG. 1 , it should be understood that the electronic device can obtain at least one MOS included in the first terminal within the preset time period from the above server 103 (specifically, it can be a MOS box).

It can be understood that, in the process of the MOS box generating the MOS of the first terminal (or the process of the electronic device acquiring the MOS of the first terminal), not a MOS is generated at every moment (for example, every 1 second), and the generation moment of the current MOS and the generation moment of the previous MOS (or the generation moment of the next MOS) are separated by a target duration, and the target duration can be greater than or equal to the duration represented by the above-mentioned voice sample (for example, 8S).

For example, assuming that the current MOS is generated at 10:08:04 and the target duration is 8 seconds, it means that the next MOS is generated at 10:08:12.

S1022: The electronic device determines a time corresponding to each MOS in at least one MOS.

It should be understood that the time corresponding to each MOS is the generation time of each MOS, that is, the time when the MOS box generates each MOS.

S1023: When there is no corresponding MOS at the first moment, the electronic device determines the MOS corresponding to the second moment as the MOS of the first terminal at the first moment.

The first moment is one of the above-mentioned multiple moments, and the second moment is the first moment after the first moment and at which a corresponding MOS exists.

In combination with the description of the above embodiment, it should be understood that not every moment in the above multiple moments has a corresponding MOS. When there is no corresponding MOS in the above first moment, it means that the first moment is not a moment corresponding to a certain MOS in the above at least one MOS. At this time, the electronic device can determine the above second moment from at least one moment (that is, the moment corresponding to at least one MOS), and the second moment is the first moment in the at least one moment that is located after the first moment.

Exemplarily, the following Table 3 is an example of two MOSs included in the first terminal within a preset time period obtained by the electronic device provided in an embodiment of the present invention. Specifically, the time corresponding to the first MOS (i.e., 4.29) of the two MOSs is 10:08:04, and the time corresponding to the second MOS (i.e., 3.95) is 10:08:12.

table 3

time MOS 10:08:01 10:08:02 10:08:03 10:08:04 4.29 10:08:05 10:08:06 10:08:07 10:08:08 10:08:09 10:08:10 10:08:11 10:08:12 3.95

Assuming that the first time is 10:08:06, the electronic device determines that the second time is 10:08:12, and the MOS of the first terminal at the first time is 3.95.

In an optional implementation manner, when there is a corresponding MOS at the first moment, the MOS corresponding to the first moment is the MOS of the first terminal at the first moment.

It should be noted that the explanation of the electronic device determining the MOS of the second terminal at each of the above moments is the same or similar to the description of the electronic device determining the MOS of the first terminal at each of the moments, and will not be repeated here.

The technical solution provided by the above embodiment can at least bring the following beneficial effects: From S1021-S1023, it can be known that the electronic device can obtain at least one MOS included in the first terminal within a preset time period, and determine the time corresponding to each MOS in the at least one MOS; when there is no corresponding MOS at a certain moment (for example, the first moment) among multiple moments, the electronic device can determine the MOS corresponding to the second moment (that is, the first moment after the first moment where there is a corresponding MOS) as the MOS of the first terminal at the first moment. It is possible to conveniently and quickly determine each moment where there is a corresponding MOS, and add a corresponding MOS for each moment where there is no corresponding MOS, which can improve the efficiency of determining the MOS of the first terminal at each moment.

In combination with FIG. 2 , as shown in FIG. 7 , in an implementation manner of the embodiment of the present invention, the electronic device optimizes the target network based on the first corresponding relationship, which may specifically include S1031 - S1033 .

S1031. The electronic device divides multiple RSRPs into at least two RSRP intervals according to a preset step size.

Each of the at least two RSRP intervals includes a minimum RSRP and a maximum RSRP, and the multiple RSRPs are the RSRPs included in the above-mentioned first corresponding relationship.

In combination with the description of the above embodiment, it should be understood that the first corresponding relationship includes the RSRP of the first terminal at each of the multiple moments and the MOS corresponding to the RSRP at each moment (specifically the MOS of the second terminal at each moment), that is, the multiple RSRPs are the RSRPs of the first terminal at each of the multiple moments.

It can be understood that the electronic device divides the multiple RSRPs into at least two RSRP intervals according to the preset step size, and specifically determines the minimum value among the multiple RSRPs as the minimum RSRP in the first RSRP interval, and increases the RSRP obtained by increasing the preset step size by the minimum value, and determines it as the maximum RSRP in the first RSRP interval; then determines the maximum RSRP in the first RSRP interval as the minimum value in the second RSRP interval, and so on, to obtain the above-mentioned at least two RSRP intervals.

Optionally, the preset step size may be greater than or equal to 1 db.

Exemplarily, assuming that the minimum value of the above-mentioned multiple RSRPs is -116dbm, the maximum value of the multiple RSRPs is -94dbm, and the above-mentioned preset step size is 2db, the electronic device can divide the multiple RSRPs into 11 RSRP intervals. Specifically, the 11 RSRP intervals include [-116dbm, -114dbm], [-114dbm, -112dbm], [-112dbm, -110dbm], [-110dbm, -108dbm], [-108dbm, -106dbm], [-106dbm, -104dbm], [-104dbm, -102dbm], [-102dbm, -100dbm], [-100dbm, -98dbm], [-98dbm, -96dbm] and [-96dbm, -94dbm].

S1032: The electronic device determines the MOS corresponding to each RSRP interval according to the MOS corresponding to each RSRP included in each RSRP interval.

In an implementation manner of the embodiment of the present invention, the electronic device may determine an average value of the MOS corresponding to each RSRP included in each RSRP interval as the MOS corresponding to each RSRP interval.

In another implementation manner of the embodiment of the present invention, the electronic device may also determine the median value of the MOS corresponding to each RSRP included in each RSRP interval as the MOS corresponding to each RSRP interval.

In another implementation manner of the embodiment of the present invention, the electronic device may also determine the value of the MOS cumulative distribution function (CDF) = 5% (or the value of MOS CDF = 10%) of each RSRP interval based on the MOS corresponding to each RSRP included in each RSRP interval, and determine the value of the MOS CDF = 5% of each RSRP interval as the MOS corresponding to each RSRP interval.

Exemplarily, as shown in FIG8, in combination with the example in S1031 above, line L4 is used to characterize the MOS corresponding to each of the above 11 RSRP intervals determined based on the median value of MOS. Line L5 is used to characterize the MOS corresponding to each of the 11 RSRP intervals determined based on the average value of MOS. Line L6 is used to characterize the MOS CDF=10% value of each RSRP interval determined as the MOS corresponding to each RSRP interval. Line L7 is used to characterize the MOS CDF=5% value of each RSRP interval determined as the MOS corresponding to each RSRP interval.

S1033: The electronic device determines the maximum RSRP in the target RSRP interval as the minimum RSRP of the target network.

Among them, the target RSRP interval is one of at least one RSRP interval corresponding to a preset MOS, the preset MOS is the minimum MOS of the target network, the minimum RSRP in the target RSRP interval is less than the minimum RSRP in other RSRP intervals, and the other RSRP intervals are RSRP intervals in the at least one RSRP interval except the target RSRP interval.

It should be understood that a MOS (e.g., a preset MOS) may correspond to one or more RSRP intervals (i.e., at least one RSRP interval). In an embodiment of the present invention, the electronic device may determine the minimum RSRP interval (also understood as the RSRP interval including the minimum RSRP, or the RSRP interval including the minimum RSRP) in the at least one RSRP interval as the target RSRP interval.

Exemplarily, in combination with the example in FIG8 , it is assumed that the MOS corresponding to each RSRP interval is the MOS CDF of each RSRP interval = 10% (see line L6 in the figure for details), and the preset MOS is 3.9. The electronic device determines that at least one RSRP interval corresponding to the preset MOS includes [-114dbm, -112dbm] and [-110dbm, -108dbm], and determines that [-114dbm, -112dbm] is the target RSRP interval. The electronic device then determines -112dbm as the minimum RSRP of the target network.

In an optional implementation, the electronic device may also divide the multiple SINRs included in the second corresponding relationship into at least two SINR intervals according to a preset step size, and determine the MOS corresponding to each SINR interval according to the MOS corresponding to each SINR included in each SINR interval in the at least two SINR intervals. Then the electronic device may determine the maximum RSRP in the target SINR interval as the minimum SINR of the target network, the target SINR interval being one of at least one SINR interval corresponding to the above-mentioned preset MOS, the minimum SINR of the target SINR interval being less than the minimum SINR in other SINR intervals, and the other SINR interval being the SINR interval other than the target SINR interval in the at least one SINR interval.

It should be noted that the process of the electronic device determining the minimum SINR of the target network is the same as or similar to the description of the above electronic device determining the minimum RSRP of the target network, and will not be repeated here.

Exemplarily, as shown in FIG9, an embodiment of the present invention provides a schematic diagram of each SINR interval determined by an electronic device and the MOS corresponding to each SINR interval. Specifically, line La is used to characterize the MOS corresponding to each SINR interval determined based on the median value of MOS. Line Lb is used to characterize the MOS corresponding to each SINR interval determined based on the average value of MOS. Line Lc is used to characterize the determination of the value of MOS CDF=10% of each SINR interval as the MOS corresponding to each SINR interval. Line Ld is used to characterize the determination of the value of MOS CDF=5% of each SINR interval as the MOS corresponding to each SINR interval.

The technical solution provided by the above embodiment can at least bring the following beneficial effects: It can be known from S1031-S1033 that the electronic device can divide multiple RSRPs into at least two RSRP intervals according to a preset step size, and determine the MOS corresponding to each RSRP interval according to the MOS corresponding to each RSRP included in each RSRP interval in the at least two RSRP intervals; then the electronic device can determine the maximum RSRP in the target RSRP interval as the minimum RSRP of the target network. In the present invention, the electronic device can divide multiple RSRPs according to a preset step size, and determine the MOS corresponding to each RSRP interval divided, and determine the maximum RSRP in the minimum RSRP interval (specifically, the minimum RSRP in the target RSRP interval is less than the minimum RSRP interval in other RSRP intervals) as the minimum RSRP of the target network. The minimum RSRP of the target network can be accurately and effectively determined, and then the electronic device can optimize the network based on the minimum RSRP, which can improve the effectiveness of network optimization.

In an implementation manner of the embodiment of the present invention, the current moment is one of the above-mentioned multiple moments. In combination with FIG. 2 , as shown in FIG. 10 , the electronic device determines the RSRP at the current moment, which may specifically include S1011 - S1012 .

S1011. The electronic device obtains at least two RSRPs within a preset time period.

The preset duration is the difference between the next moment after the current moment and the current moment.

It should be understood that there may be (or include) at least two RSRPs between the current moment and the next moment of the current moment, and the electronic device may obtain each of the at least two RSRPs. Similarly, there may also be (or include) at least two RSRPs between the previous moment of the current moment and the current moment, and the electronic device may obtain each of the at least two RSRPs.

S1012: The electronic device determines an average value of at least two RSRPs as the RSRP at the current moment.

In an optional implementation, the electronic device may also obtain at least two SINRs included in the preset time length, and determine the average value of the at least two SINRs as the SINR at the current moment. At this point, the electronic device can determine the wireless environment information at the current moment, that is, including the RSRP at the current moment and the SINR at the current moment.

The technical solution provided by the above embodiment can at least bring the following beneficial effects: From S1011-S1012, it can be known that the electronic device can obtain at least two RSRPs included in the preset time length (specifically the difference between the next moment of the current moment and the current moment), and determine the average value of the at least two RSRPs as the RSRP of the current moment. In the present invention, since there may be more than one RSRP (i.e., at least two RSRPs) between two adjacent moments, the electronic device can determine the average value of the at least two RSRPs as the RSRP of the previous moment (i.e., the current moment) between the two adjacent moments, and can accurately determine the RSRP of each moment, thereby improving the generation efficiency of the first corresponding relationship and the second corresponding relationship.

The embodiment of the present invention can divide the functional modules of the electronic device etc. according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation.

In the case of dividing each functional module according to each function, FIG11 shows a possible structural diagram of the network optimization device involved in the above embodiment. As shown in FIG11 , the network optimization device 30 may include: a determination module 301 and a processing module 302 .

The determination module 301 is used to determine the wireless environment information of the first terminal at each of a plurality of moments and the wireless environment information of the second terminal at each of the moments, wherein the wireless environment information includes the reference signal received power RSRP and the signal to interference plus noise ratio SINR, and the plurality of moments are moments included in a preset time period, and the first terminal transmits a voice sample with the second terminal within the preset time period.

The determination module 301 is further configured to determine the average subjective opinion score MOS of the first terminal at each moment and the MOS of the second terminal at each moment.

The processing module 302 is used to generate a first corresponding relationship and a second corresponding relationship, wherein the first corresponding relationship includes the RSRP of the first terminal at each moment and the MOS corresponding to the RSRP at each moment, and the second corresponding relationship includes the SINR of the second terminal at each moment and the MOS corresponding to the SINR at each moment, the MOS corresponding to the RSRP at each moment is the MOS of the second terminal at each moment, and the MOS corresponding to the SINR at each moment is the MOS of the first terminal at each moment.

The processing module 302 is further configured to optimize the target network based on the first corresponding relationship and/or the second corresponding relationship.

Optionally, the above network optimization device 30 further includes: an acquisition module 303.

The acquisition module 303 is configured to acquire at least one MOS included in the first terminal within the preset time period.

The determination module 301 is specifically configured to determine a time corresponding to each MOS in the at least one MOS.

The determination module 301 is further specifically used to determine the MOS corresponding to the second moment as the MOS of the first terminal at the first moment when there is no corresponding MOS at the first moment, the first moment is one of the multiple moments, and the second moment is the first moment after the first moment at which the corresponding MOS exists.

Optionally, the processing module 302 is specifically configured to divide the multiple RSRPs into at least two RSRP intervals according to a preset step size, each of the at least two RSRP intervals including a minimum RSRP and a maximum RSRP, and the multiple RSRPs are the RSRPs included in the first corresponding relationship.

The determination module 301 is specifically configured to determine the MOS corresponding to each RSRP interval according to the MOS corresponding to each RSRP included in each RSRP interval.

The determination module 301 is further specifically used to determine the maximum RSRP in the target RSRP interval as the minimum RSRP of the target network, where the target RSRP interval is one of at least one RSRP interval corresponding to a preset MOS, where the preset MOS is the minimum MOS of the target network, and the minimum RSRP in the target RSRP interval is less than the minimum RSRP in other RSRP intervals, and the other RSRP intervals are RSRP intervals other than the target RSRP interval in the at least one RSRP interval.

Optionally, the current moment is one of the above multiple moments.

The acquisition module 303 is used to acquire at least two RSRPs included in a preset time length, where the preset time length is a difference between a next moment after the current moment and the current moment.

The determination module 301 is specifically configured to determine an average value of the at least two RSRPs as the RSRP at the current moment.

In the case of adopting an integrated unit, FIG12 shows a possible structural diagram of the network optimization device involved in the above-mentioned embodiment. As shown in FIG12, the network optimization device 40 may include: a processing module 401 and a communication module 402. The processing module 401 can be used to control and manage the actions of the network optimization device 40. The communication module 402 can be used to support the communication between the network optimization device 40 and other entities. Optionally, as shown in FIG12, the network optimization device 40 may also include a storage module 403 for storing program code and data of the network optimization device 40.

The processing module 401 may be a processor or a controller. The communication module 402 may be a transceiver, a transceiver circuit or a communication interface, etc. The storage module 403 may be a memory.

When the processing module 401 is a processor, the communication module 402 is a transceiver, and the storage module 403 is a memory, the processor, the transceiver, and the memory may be connected via a bus. The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc.

It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, data center, etc. that contains one or more media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (8)

1. A method of network optimization, comprising:

Determining wireless environment information of a first terminal at each of a plurality of moments and wireless environment information of a second terminal at each moment, wherein the wireless environment information comprises Reference Signal Received Power (RSRP) and signal-to-interference-plus-noise ratio (SINR), the plurality of moments are moments included in a preset time period, and the first terminal and the second terminal transmit voice samples in the preset time period;

Determining the mean subjective opinion score MOS of the first terminal at each moment and the MOS of the second terminal at each moment;

Generating a first corresponding relation and a second corresponding relation, wherein the first corresponding relation comprises RSRP of the first terminal at each moment and MOS corresponding to the RSRP of the first terminal at each moment, the second corresponding relation comprises SINR of the first terminal at each moment and MOS corresponding to the SINR of the first terminal at each moment, the MOS corresponding to the RSRP of the first terminal at each moment is MOS of the second terminal at each moment, and the MOS corresponding to the SINR of the first terminal at each moment is MOS of the first terminal at each moment;

Optimizing a target network based on the first corresponding relation and/or the second corresponding relation;

wherein optimizing the target network based on the first correspondence relationship includes:

dividing a plurality of RSRPs into at least two RSRP sections according to a preset step length, wherein each of the at least two RSRP sections comprises a minimum RSRP and a maximum RSRP, and the plurality of RSRPs are RSRPs included in the first corresponding relation;

determining the MOS corresponding to each RSRP interval according to the MOS corresponding to each RSRP included in each RSRP interval;

determining the maximum RSRP in a target RSRP section as the minimum RSRP of the target network, wherein the target RSRP section is one of at least one RSRP section corresponding to a preset MOS, the preset MOS is the minimum MOS of the target network, the minimum RSRP in the target RSRP section is smaller than the minimum RSRP in other RSRP sections, and the other RSRP sections are RSRP sections except the target RSRP section in the at least one RSRP section.

2. The network optimization method according to claim 1, wherein the determining the MOS of the first terminal at each of the time instants comprises:

Acquiring at least one MOS included in the first terminal in the preset time period;

determining the corresponding moment of each MOS in the at least one MOS;

And when the corresponding MOS does not exist at the first moment, determining the MOS corresponding to the second moment as the MOS of the first terminal at the first moment, wherein the first moment is one of the moments, and the second moment is the first moment after the first moment and when the corresponding MOS exists.

3. The network optimization method according to claim 1 or 2, characterized in that determining the RSRP of the current moment, which is one of the plurality of moments, comprises:

Acquiring at least two RSRPs included in a preset time length, wherein the preset time length is the difference value between the next time of the current time and the current time;

And determining the average value of the at least two RSRPs as the RSRP at the current moment.

4. A network optimization device, comprising: a determining module and a processing module;

The determining module is configured to determine wireless environment information of a first terminal at each of a plurality of moments and wireless environment information of a second terminal at each moment, where the wireless environment information includes reference signal received power RSRP and signal-to-interference-plus-noise ratio SINR, the plurality of moments are moments included in a preset time period, and the first terminal transmits a voice sample with the second terminal in the preset time period;

the determining module is further configured to determine an average subjective opinion score MOS of the first terminal at each time and an MOS of the second terminal at each time;

The processing module is configured to generate a first correspondence and a second correspondence, where the first correspondence includes an RSRP of the first terminal at each time and an MOS corresponding to the RSRP of the first terminal at each time, the second correspondence includes an SINR of the first terminal at each time and an MOS corresponding to the SINR of the first terminal at each time, and the MOS corresponding to the RSRP of the first terminal at each time is an MOS of the second terminal at each time, and the MOS corresponding to the SINR of the first terminal at each time is an MOS of the first terminal at each time;

The processing module is further configured to optimize a target network based on the first correspondence and/or the second correspondence;

wherein optimizing the target network based on the first correspondence relationship includes:

The processing module is specifically configured to divide a plurality of RSRP into at least two RSRP intervals according to a preset step size, where each of the at least two RSRP intervals includes a minimum RSRP and a maximum RSRP, and the plurality of RSRP are RSRP included in the first correspondence;

The determining module is specifically configured to determine, according to the MOS corresponding to each RSRP included in each RSRP interval, the MOS corresponding to each RSRP interval;

The determining module is specifically further configured to determine a maximum RSRP in a target RSRP interval as a minimum RSRP of the target network, where the target RSRP interval is one of at least one RSRP interval corresponding to a preset MOS, the preset MOS is a minimum MOS of the target network, the minimum RSRP in the target RSRP interval is smaller than the minimum RSRP in other RSRP intervals, and the other RSRP intervals are RSRP intervals other than the target RSRP interval in the at least one RSRP interval.

5. The network optimization device of claim 4, wherein the network optimization device further comprises: an acquisition module;

the acquiring module is configured to acquire at least one MOS included in the first terminal in the preset period of time;

The determining module is specifically configured to determine a time corresponding to each MOS in the at least one MOS;

The determining module is specifically further configured to determine, when the corresponding MOS does not exist at the first time, the MOS corresponding to the second time as the MOS of the first terminal at the first time, where the first time is one of the multiple times, and the second time is the first time after the first time when the corresponding MOS exists.

6. The network optimization device according to claim 4 or 5, wherein the current time is one of the plurality of times, the network optimization device further comprising: an acquisition module;

The acquiring module is configured to acquire at least two RSRP included in a preset duration, where the preset duration is a difference between a time next to the current time and the current time;

The determining module is specifically configured to determine an average value of the at least two RSRP as the RSRP at the current moment.

7. An electronic device, the electronic device comprising:

A processor;

A memory configured to store the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the network optimization method of any one of claims 1-3.

8. A computer readable storage medium having instructions stored thereon, which, when executed by an electronic device, cause the electronic device to perform the network optimization method of any of claims 1-3.