WO2023241255A1

WO2023241255A1 - Cell quality identification method and apparatus, and related device

Info

Publication number: WO2023241255A1
Application number: PCT/CN2023/092323
Authority: WO
Inventors: 陈秀敏; 黄毅华; 许向东; 魏垚; 卢洪涛
Original assignee: 中国电信股份有限公司
Priority date: 2022-06-14
Filing date: 2023-05-05
Publication date: 2023-12-21
Also published as: CN117279021A; WO2023241255A9

Abstract

A cell quality identification method comprises: obtaining bandwidth part (BWP) data of a user within a target cell; calculating a user throughput rate of the target cell on the basis of the BWP data; and identifying the quality of the target cell on the basis of the user throughput rate of the target cell. According to the present disclosure, the accuracy with which cell quality is identified is increased, and misjudgment in identifying the cell quality is eliminated.

Description

Community quality identification methods, devices and related equipment

This disclosure is based on a Chinese patent application with application number 202210673147.1, the filing date is June 14, 2022, and the invention name is "Community Quality Identification Method, Device, Electronic Equipment and Storage Medium", and claims the priority of this Chinese patent application , the entire content of this Chinese patent application is hereby incorporated by reference into this disclosure.

Technical field

The present disclosure relates to the field of mobile communication technology, and in particular, to a cell quality identification method, device, electronic equipment and storage medium.

Background technique

With the continuous development of network technology, users have higher and higher demands for network quality. Network quality is an important indicator to check the operating status of the network. It directly reflects the quality of network operation and affects users' perceived experience of the network.

The existing method of identifying the quality of a cell monitors the throughput of users in the cell. When the throughput rate of a user equipment in the cell is lower than a preset threshold, the cell is regarded as an unqualified cell. However, with the development of 5G (5th Generation Mobile Communication Technology, the fifth generation mobile communication technology) introduces Bandwidth Adaptation (BA), and the BWP (BandWidth Part, partial bandwidth) of 5G NR (New Radio) users can configure flexible bandwidth. If the user configures a narrow bandwidth, the user's throughput will inevitably decrease. In this way, the existing method of identifying cell quality will have the problem of misjudgment.

Based on this, how to improve the accuracy of identifying cell quality has become an urgent technical problem that needs to be solved.

Contents of the invention

The present disclosure provides a cell quality identification method, device, electronic equipment and storage medium, which at least to a certain extent overcomes the problem of misjudgment in cell quality identification in related technologies.

According to one aspect of the present disclosure, a cell quality identification method is provided, including: obtaining partial bandwidth BWP data of multiple users in a target cell; calculating the user throughput rate of the target cell based on the BWP data; based on the BWP data of the target cell; User throughput rate identifies the quality of the target cell.

In one embodiment of the present disclosure, calculating the user throughput rate of the target cell based on the BWP data includes: calculating the user throughput rate under different BWP based on the BWP data.

In one embodiment of the present disclosure, calculating the user throughput rate of the target cell based on the BWP data includes: calculating the user throughput rate under the same BWP based on the BWP data, wherein the same BWP The user throughput rate under this BWP is the sum of the throughput rates of all users under this BWP.

In one embodiment of the present disclosure, calculating the user throughput rate of the target cell based on the BWP data includes: calculating the user throughput rate of all activated BWPs based on the BWP data, and calculating the user throughput rates of all activated BWPs. The throughput rate is used as the user throughput rate of the target cell to determine the quality of the target cell through the user throughput rate of the target cell.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user throughput rate of the target cell includes: setting a threshold for cell quality judgment based on the BWP data; based on the user throughput rate and the The threshold for cell quality judgment identifies the quality of the target cell.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user throughput rate of the target cell includes: setting a threshold for cell quality judgment based on the user throughput rate under different BWP; The throughput rate and the threshold for judging the cell quality identify the quality of the target cell.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user throughput rate of the target cell includes: calculating the target cell according to the user throughput rate under different BWP and the BWP data. The user weighted throughput rate; based on the user weighted throughput rate, identify the quality of the target cell.

In one embodiment of the present disclosure, the method further includes: obtaining resource block RB (Resource Block, resource block) occupancy data of the target cell; based on the RB occupancy data of the target cell, calculating the RB occupancy data of the target cell. Activation factor, wherein the activation factor represents the number of resource blocks occupied by the target cell within a certain period of time; based on the user weighted throughput rate of the target cell and the activation factor, the quality of the target cell is identified.

In one embodiment of the present disclosure, calculating the user weighted throughput of the target cell according to the user throughput under different BWPs and the BWP data includes: calculating the user weighted throughput of the target cell through the following formula Rate:

Among them, WeightedgNBThroughput represents the user weighted throughput rate of the target cell, Throughput _ij represents the user throughput rate of the i-th user in the target cell at the j-th time, and BWP _ij represents the BWP of the i-th user in the target cell at the j-th time. ^period represents the total duration of statistical network data, users represents the total number of user equipment in the target cell, and i and j are both positive integers.

In one embodiment of the present disclosure, calculating the activation factor of the target cell based on the RB occupancy data of the target cell includes: calculating the activation factor of the target cell through the following formula:

Among them, Activation Efficiency represents the activation factor of the target cell, and Count(RB)j represents the target cell. The number of RBs occupied by the zone at time j, and period represents the total duration of statistical network data.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user-weighted throughput rate and activation factor of the target cell includes: the user-weighted throughput rate of the target cell is less than a preset throughput rate threshold, And if the activation factor is greater than the preset activation factor threshold, the quality of the target cell is determined to be unqualified.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user-weighted throughput rate and activation factor of the target cell includes: when the user-weighted throughput rate of the target cell is less than a preset throughput threshold, And when the activation factor is greater than the preset activation factor threshold, it is determined that the quality of the target cell meets the unqualified condition; the total number of times that the target cell meets the unqualified condition is counted within the preset time period; when the target cell When the total number of times that the cell meets the unqualified condition is greater than or equal to the preset number of times, the quality of the target cell is determined to be unqualified.

According to another aspect of the present disclosure, a cell quality identification device is provided, including: a data acquisition module for acquiring partial bandwidth BWP data of multiple users in a target cell; and a calculation module for calculating the target based on the BWP data. The user throughput rate of the cell; a quality identification module, configured to identify the quality of the target cell based on the user throughput rate of the target cell.

In one embodiment of the present disclosure, the above calculation module is also used to calculate user throughput rates under different BWPs based on the BWP data.

In one embodiment of the present disclosure, the above calculation module is also used to calculate the user throughput rate under the same BWP based on the BWP data, wherein the user throughput rate under the same BWP is the sum of the throughput rates of all users under the BWP. and.

In one embodiment of the present disclosure, the above calculation module is also used to calculate the user throughput rate under all activated BWPs based on the BWP data, and use the user throughput rates under all activated BWPs as the user throughput rate of the target cell, The quality of the target cell is judged by the user throughput rate.

In one embodiment of the present disclosure, the above-mentioned quality identification module is also used to set a threshold for cell quality judgment based on the BWP data; and identify the quality of the target cell based on the user throughput rate and the threshold for cell quality judgment. .

In one embodiment of the present disclosure, the above-mentioned quality identification module is also used to set a threshold for cell quality judgment according to the user throughput rate under different BWPs; based on the user throughput rate and the threshold for cell quality judgment, identify the Describe the quality of the target community.

In one embodiment of the present disclosure, the above-mentioned quality identification module is also used to determine the usage according to the different BWPs. The user throughput rate is calculated to calculate the user weighted throughput rate of the target cell; based on the user weighted throughput rate, the quality of the target cell is identified.

In one embodiment of the present disclosure, the above-mentioned data acquisition module is also used to obtain the resource block RB occupancy data of the target cell; the above-mentioned calculation module is also used to calculate the RB occupancy data of the target cell based on the RB occupancy data of the target cell. Activation factor, wherein the activation factor represents the number of resource blocks occupied by the target cell within a certain period of time; the above-mentioned quality identification module is also used to identify the target cell based on the user weighted throughput rate and activation factor of the target cell. the quality of.

In one embodiment of the present disclosure, the above calculation module is also used to calculate the user weighted throughput rate of the target cell through the following formula:

Among them, WeightedgNBThroughput represents the user weighted throughput rate of the target cell, Throughput _ij represents the user throughput rate of the i-th user in the target cell at the j-th time, and BWP _ij represents the BWP of the i-th user in the target cell at the j-th time. period represents the total duration of statistical network data, period represents the total number of user equipment in the target cell, and i and j are both positive integers.

In one embodiment of the present disclosure, the above calculation module is also used to calculate the activation factor of the target cell through the following formula:

Among them, Activation Efficiency represents the activation factor of the target cell, Count(RB)j represents the number of RBs occupied by the target cell at time j, and period represents the total duration of statistical network data.

In one embodiment of the present disclosure, the above-mentioned quality identification module is also used to determine that the user-weighted throughput rate of the target cell is less than a preset throughput rate threshold and the activation factor is greater than a preset activation factor threshold. The quality of the target community is unqualified.

In one embodiment of the present disclosure, the above-mentioned quality identification module is also used to determine that the user-weighted throughput rate of the target cell is less than a preset throughput rate threshold and the activation factor is greater than a preset activation factor threshold. The quality of the target cell meets the unqualified conditions; the total number of times the target cell meets the unqualified conditions is counted within a preset time period; when the total number of times the target cell meets the unqualified conditions is greater than or equal to the preset times, determine The quality of the target cell is unqualified.

According to yet another aspect of the present disclosure, an electronic device is provided, including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the executable instructions via instructions to execute the above-mentioned cell quality identification method.

According to yet another aspect of the present disclosure, a computer-readable storage medium is provided, a computer program is stored thereon, and when the computer program is executed by a processor, the above-mentioned cell quality identification method is implemented.

According to another aspect of the present disclosure, a computer program product is also provided, including a computer program that implements the above-mentioned cell quality identification method when executed by a processor.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of the drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 shows a schematic diagram of the structure of a communication system in an embodiment of the present disclosure;

Figure 2 shows a flow chart of a cell quality identification method in an embodiment of the present disclosure;

Figure 3 shows a flow chart of another cell quality identification method in an embodiment of the present disclosure;

Figure 4 shows a flow chart of another cell quality identification method in an embodiment of the present disclosure;

Figure 5 shows a flow chart of yet another cell quality identification method in an embodiment of the present disclosure;

Figure 6 shows a schematic diagram of a cell quality identification device in an embodiment of the present disclosure;

Figure 7 shows a schematic diagram of another cell quality identification device in an embodiment of the present disclosure; and

Figure 8 shows a structural block diagram of an electronic device in an embodiment of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concepts of the example embodiments. To those skilled in the art. The described features, structures or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices.

As mentioned in the background art, the current method of judging cell quality in network optimization is usually to evaluate the service quality of the cell by monitoring the throughput of user equipment in the cell, and set the throughput rate of the user equipment lower than Cells with a certain threshold are considered substandard quality cells, but with the introduction of bandwidth adaptation in 5G, the receiving and transmitting bandwidth of user equipment can be freely adjusted, such as shrinking the bandwidth during inactivity to save power consumption. That is to say, the BWP of 5G NR users can flexibly configure the bandwidth. When the user configures a narrow bandwidth, the rate of the user equipment will inevitably decrease, so the traditional judgment method may misjudge the cell quality.

For example, when monitoring the quality of a cell, if the bandwidth of a certain cell is 100Mhz, if all users only activate the BWP of 100Mhz. At this time, when the throughput rate of a user in the cell is lower than a fixed threshold, it is reasonable to regard the cell as an unqualified cell. However, after the small bandwidth BWP is enabled, some users in the community only activate the dedicated BWP with 20Mhz bandwidth in order to save power, and some users activate the dedicated BWP bandwidth with 100Mhz bandwidth, so the traditional judgment method is not applicable. At this time, it is necessary to set the corresponding threshold according to the different bandwidths of the dedicated BWP to more accurately judge the cell quality.

Based on this, the present disclosure provides a cell quality identification method, device, electronic equipment and storage medium, by introducing the user's BWP parameters into the calculation of the user throughput rate of the target cell, and then identifying the target cell based on the user throughput rate of the target cell. quality, improves the accuracy of identifying cell quality, and eliminates misjudgments in identifying cell quality.

FIG. 1 shows a schematic diagram of an exemplary communication system architecture that can be applied to a cell quality identification method or cell quality identification device according to embodiments of the present disclosure.

As shown in Figure 1, the communication system may include a base station 110 and an unlimited number of user equipments 120 in each cell.

Among them, the user equipment 120 can be a wireless terminal or a wired terminal. The wireless terminal can be a device that provides voice and/or data connectivity to the user, a handheld device with a wireless connection function, or other processing connected to a wireless modem. equipment. Wireless terminals can communicate with one or more core networks via a wireless access network (for example, English: Radio Access Network, abbreviation: RAN). The wireless terminal can be a mobile terminal, such as a mobile phone (or "cellular" phone) and computers with mobile terminals, which may be, for example, portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile devices, which exchange voice and/or data with the radio access network. For example, personal communication service (English: Personal Communication Service, abbreviation: PCS) telephone, cordless telephone, session initiation protocol phone, wireless local loop (English: Wireless Local Loop abbreviation: WLL) station, personal digital assistant (English: Personal Digital Assistant) Assistant, abbreviation: PDA) and other devices. Wireless terminals can also be called systems, subscriber units (English: Subscriber Unit), subscriber stations (English Subscriber Station), mobile stations (English Mobile Station), mobile stations (English: Mobile Station, abbreviation: MS), and remote stations (English: Mobile Station). ：Remote Station, abbreviation: RS), access point (English: Access Point, abbreviation: AP), remote terminal (English: Remote Terminal), access terminal (English: Access Terminal), user terminal (English: User Terminal) , User Agent (English: User Agent), User Equipment (English: User Device), or User Equipment (English: User Equipment).

The user equipment 120 can also be implemented as a base station (English: Base Station, abbreviation: BS), an access point (English: Text: Access Point, abbreviation: AP), remote wireless equipment (English: Remote Radio Equipment, abbreviation: RRE), remote wireless port (English: Remote Radio Head, abbreviation RRH), remote wireless unit (English: Remote Radio Unit (abbreviation: RRU), relay node (English: Relay node), etc. The relationship between a network device and a cell is not limited. One network device may correspond to one or more cells, or one cell may correspond to one or more network devices. Among them, the sending or receiving operation of the network device can be a direct behavior of the network device, or the network device can control the indirect sending or receiving operation of the device connected to it through wired or wireless means.

Base station 110. A base station (eg, access point) may refer to a device in an access network that communicates with wireless terminals over the air interface through one or more sectors. The base station may be used to convert received air frames to and from IP packets and act as a router between the wireless terminal and the rest of the access network, which may include an Internet Protocol (IP) network. The base station also coordinates attribute management of the air interface. For example, the base station can be a base station in GSM or CDMA (English: Base Transceiver Station, abbreviation: BTS), a base station in WCDMA (English: NodeB), or an evolved base station in LTE (English: NodeB or Abbreviation: eNB or English: e-NodeB, English: evolutionary Node B), which is not limited in this disclosure.

In some embodiments, the base station 110 and the user equipment 120 may be connected through a wireless network or a wired network, and the wireless network or wired network uses standard communication technologies and/or protocols. The network is usually the Internet, but can also be any network, including but not limited to Local Area Network (LAN), Metropolitan Area Network (MAN), Wide Area Network (Wide Area Network, WAN), mobile, wired or wireless network, private network, or virtual private network). In some embodiments, data exchanged over the network is represented using technologies and/or formats including HyperText Mark-up Language (HTML), Extensible Markup Language (XML), etc. In addition, you can also use things such as Secure Socket Layer (Secure Socket Layer, SSL), Transport Layer Security (Transport Layer Security, TLS), Virtual Private Network (Virtual Private Network, VPN), Internet Protocol Security (Internet Protocol Security, IPsec), etc. Conventional encryption techniques to encrypt all or some links. In other embodiments, customized and/or dedicated data communication technologies may also be used in place of or in addition to the above-described data communication technologies.

User device 120 may be a variety of electronic devices, including but not limited to smartphones, tablets, laptops, desktop computers, wearable devices, augmented reality devices, virtual reality devices, and the like.

Those skilled in the art will know that the number of base stations, cells and user equipment in Figure 1 is only illustrative, and there can be any number of base stations, cells and user equipment according to actual needs. The embodiments of the present disclosure do not limit this.

This exemplary implementation will be described in detail below with reference to the drawings and examples.

First, embodiments of the present disclosure provide a cell quality identification method, which can be applied to the communication system shown in Figure 1 above. This method can be executed by any electronic device with computing processing capabilities.

Figure 2 shows a flow chart of a cell quality identification method in an embodiment of the present disclosure. As shown in Figure 2, the cell quality identification method provided in an embodiment of the present disclosure includes the following steps:

S202: Obtain partial bandwidth BWP data of users in the target cell.

It should be noted that the BWP data includes the user's downlink dedicated BWP and uplink dedicated BWP. This disclosure can obtain the network data of the target cell from the base station, including but not limited to the BWP data, network rate and resource block occupation number of each user at different times. etc., to obtain the BWP data of multiple users in the target cell from the network data.

S204: Calculate the user throughput rate of the target cell based on the BWP data.

It should be noted that the user throughput rate refers to the amount of data successfully transmitted by the user in unit time. It can also refer to the average UE throughput of the downlink dedicated BWP or the uplink dedicated BWP. The unit is kbit/s. The user throughput rate is limited by the BWP. , the larger the BWP, the higher the upper limit of the user throughput rate; this disclosure can first divide the users according to the user's BWP data, and calculate the user throughput rate under the same BWP and the user throughput rate under different BWP according to the user's BWP data. and user throughput rates under all BWPs.

It should be noted that when ∑ _UEs ∑ThpTimeDl>0, the user throughput rate is When ∑ _UEs ∑ThpTimeDl=0, the user throughput rate is 0[kbit/s]; where, ThpTimeDl is the time for transmitting data bursts when the buffer is cleared, excluding the data transmitted in the slot, each time it is cleared A sample of "ThpTimeDl" in the DL (Data Link) buffer of a DRB (Data Radio Bearer, Data Radio Bearer); the RLC-level volume of the ThpVolDl data burst, excluding the buffer in the slot when it is cleared Transmitted data, the sample of ThpVolDl is the amount of data successfully transmitted (confirmed by the UE) for a DRB in the DL during the ThpTimeDl sample, in the form of RLC (Radio Link Control, Radio Link Layer Control Protocol) SDU (segment data unit, Segmented data unit) level calculation, the volume of the last segment of data in the cleared buffer should be excluded; UEs is the data volume of users in the target cell, and the user's data volume refers to the total amount of data scheduled for each dedicated BWP in the main carrier activated by the UE. quantity.

For small data bursts, when all buffered data is included in an initial HARQ (Hybrid Automatic Repeat Request) transmission, ThpTimeDl=0, otherwise, ThpTimeDl=T1-T2ms; where T1 is confirmed by the UE At a time point after T2, in the transmitted data burst, the data until the second last segment of data of the RLC SDU available for transmission of a specific DRB is cleared is successfully transmitted; T2 is after the RLC SDU becomes available for transmission, The point in time when the first transmission begins, before which no RLC SDU is available for transmission of a specific DRB.

S206: Identify the quality of the target cell based on the user throughput rate of the target cell.

It should be noted that the present disclosure can set the throughput rate threshold according to user needs or user experience of using the network. When the relationship between the user throughput rate of the target cell and the throughput rate threshold meets certain conditions, it is determined whether the quality of the target cell is qualified. For example, when the user throughput rate of the target cell is less than the preset throughput rate threshold, the quality of the target cell is determined to be unqualified; when the user throughput rate of the target cell is greater than the preset throughput rate threshold, the quality of the target cell is determined to be qualified.

The cell quality identification method provided in the embodiment of the present disclosure includes: obtaining BWP data of users in the target cell; calculating the user throughput rate of the target cell based on the BWP data; and identifying the quality of the target cell based on the user throughput rate of the target cell. The present disclosure improves the accuracy of identification by identifying the quality of the target cell based on the user throughput rate of the target cell. At the same time, this disclosure also solves the problem of misjudgment caused by users with different BWPs in 5G NR in the existing technology by introducing BWP into the user throughput calculation of the target cell, and improves the accuracy of cell quality identification.

In one embodiment of the present disclosure, calculating the user throughput rate of the target cell based on the BWP data includes: calculating the user throughput rate under different BWP based on the BWP data. The user throughput rate under different BWPs may be the sum of the ratios of the network speeds of each user in the target cell and the BWP.

In one embodiment of the present disclosure, calculating the user throughput rate of the target cell based on the BWP data includes: calculating the user throughput rate under the same BWP based on the BWP data, where the user throughput rate under the same BWP is all users under the BWP. The sum of user throughput rates.

In one embodiment of the present disclosure, calculating the user throughput rate of the target cell based on the BWP data includes: calculating the user throughput rate under all activated BWPs based on the BWP data, and using the user throughput rate under all activated BWPs as the target cell. User throughput rate is used to judge the quality of the target cell through the user throughput rate of the target cell. The present disclosure can also identify the quality of the target cell based on the user throughput rate of the target cell.

In one embodiment of the present disclosure, the larger the user's BWP, the larger the peak throughput rate that the user can achieve.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user throughput rate of the target cell includes: setting a threshold for cell quality judgment based on BWP data; identifying the target cell based on the user throughput rate and the threshold for cell quality judgment. quality.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user throughput rate of the target cell includes: setting a threshold for cell quality judgment based on user throughput rates under different BWPs; and setting a threshold for cell quality judgment based on user throughput rate and cell quality. , identify the quality of the target cell.

In one embodiment of the present disclosure, identifying the quality of the target cell based on the user throughput rate of the target cell includes: calculating the target cell according to the user throughput rate under different BWP and the BWP data. The user weighted throughput rate; based on the user weighted throughput rate, identify the quality of the target cell. By introducing BWP into the user weighted throughput calculation of the target cell, this disclosure solves the problem of misjudgment caused by users with different BWP in 5G NR in the existing technology, and improves the accuracy of cell quality identification.

It should be noted that, based on the throughput rate and BWP of each user in the target cell at each moment, the ratio of the throughput rate and bandwidth of each user equipment at each moment can be calculated, and the throughput rate and bandwidth of all devices within the preset time period can be calculated. The sum of the ratios is used as the user weighted throughput rate of the target cell.

It should be noted that the user-weighted throughput rate of the target cell can be calculated through the following formula:

Among them, WeightedgNBThroughput represents the user weighted throughput rate of the target cell, Throughput _ij represents the user throughput rate of the i-th user in the target cell at the j-th time, and BWP _ij represents the BWP of the i-th user in the target cell at the j-th time. period represents the total duration of statistical network data, users represents the total number of user equipment in the target cell, and i and j are both positive integers. Here, the present disclosure can also deform formula ( ₁ ) and replace BWP ij in formula (1) with BWP _ij bandwidth function f(BWP _ij ). The deformed formula is as follows:

The f(BWP _ij ) function in the above formula (2) can be any function with BWP _ij as a variable. Here, the f(BWP _ij ) function is not specifically limited.

In one embodiment of the present disclosure, the above-mentioned cell quality identification method may also include the steps disclosed in Figure 3. Referring to the flow chart of another cell quality identification method shown in Figure 3, the method may include the following steps:

S302: Obtain resource block RB occupation data of the target cell.

S304: Calculate the activation factor of the target cell based on the RB occupancy data of the target cell, where the activation factor represents the number of resource blocks occupied by the target cell in a certain time period.

It should be noted that, according to the resource block occupancy data of the target cell obtained from the base station, the number of resource block occupancy of the target cell within the preset time period can be used as the activation factor of the target cell. The RB occupancy data of the target cell includes the RB occupancy data in the target cell. The number of RBs occupied by multiple users at different times.

S306: Identify the quality of the target cell based on the user weighted throughput rate and activation factor of the target cell.

It should be noted that this disclosure can set the throughput rate threshold and activation factor threshold according to user needs or user experience of using the network. When the user weighted throughput rate and throughput rate threshold of the target cell meet certain conditions, and the activation factor of the target cell When the target cell's user weighted throughput rate and activation factor threshold also meet certain conditions, the quality of the target cell is determined to be unqualified; or when the user weighted throughput rate and throughput rate threshold of the target cell meet certain conditions, and the activation factor and activation factor threshold of the target cell also meet certain conditions. When conditions are met, it is determined that the target cell meets the unqualified conditions, and the number of times the target cell meets the unqualified conditions within the statistical time period of the network data is recorded. When the number exceeds the preset threshold, the quality of the target cell is determined to be unqualified.

This disclosure uses the activation factor of the target cell as a standard for identifying cell quality, and sets an activation factor threshold. When the number of resource blocks occupied by the target cell meets certain conditions, the quality of the target cell is determined to be unqualified, thus avoiding the impact on idle cells. Misjudgment.

In one embodiment of the present disclosure, determining the quality of the target cell based on the user-weighted throughput rate and activation factor of the target cell includes: the user-weighted throughput rate of the target cell is less than a preset throughput threshold, and the activation factor is greater than the preset In the case of activation factor threshold, the quality of the target cell is determined to be unqualified.

In one embodiment of the present disclosure, the quality of the target cell can be determined through the steps disclosed in Figure 4. Referring to the flow chart of another cell quality identification method shown in Figure 4, the following steps can be included:

S402: When the user weighted throughput rate of the target cell is less than the preset throughput rate threshold and the activation factor is greater than the preset activation factor threshold, it is determined that the target cell meets the unqualified condition;

S404, count the total number of times the target cell meets the unqualified conditions within the preset time period;

S406: When the total number of times that the target cell satisfies the unqualified condition is greater than or equal to the preset number of times, the quality of the target cell is determined to be unqualified.

It should be noted that the above preset time period can be the same as the duration of data collection in network data.

A cell quality identification method in the embodiment of the present disclosure can comprehensively determine the quality of the target cell by combining the user's BWP, user throughput, RB occupancy and other data, citing the throughput threshold, to solve the problem of different BWPs in 5G NR in the existing technology The problem of misjudgment caused by users; the activation factor threshold, that is, the threshold of the number of occupied RBs, is introduced to solve the problem of misjudgment of idle cells, thereby improving the accuracy of identifying cell quality.

In one embodiment of the present disclosure, refer to the flow chart of another cell quality identification method disclosed in Figure 5. The method includes:

S502, obtain the BWP data and RB occupancy data of the target cell;

S504, calculate the user weighted throughput rate and activation factor of the target cell;

S506: Determine whether the user weighted throughput rate of the target cell is less than the throughput rate threshold, and the activation factor is less than the activation factor threshold. If not, execute S508; if yes, execute S510;

S508, the number of times the condition is met Counter=Counter+0, the initial value of Counter is 0, execute S512;

S510, the number of times the condition is met Counter=Counter+1, the initial value of Counter is 0, execute S512;

S512, determine whether Counter>N is satisfied. If yes, execute S514; if not, execute S516;

S514, determine that the quality of the target cell is unqualified, and trigger a quality unqualified alarm;

S516, determine whether the preset statistical time has been exceeded. If not, execute S502; if yes, execute S518;

S518: Determine the quality of the target cell to be qualified.

In one embodiment of the present disclosure, the network data of the target cell is obtained. The network data may include the BWP configuration, rate and RB occupation number of the user equipment at different times. See the values given in Table 1, Table 2 and Table 3. , set the throughput threshold (Poor Throughput Threshold) to 20, the activation factor threshold (Efficiency Threshold) to 600, the statistical time period to 5 moments, and the preset statistical time to 15 moments. When the user weighted throughput rate of the cell is less than the throughput rate threshold and the activation If the factor is greater than the activation factor threshold, the quality of the cell is determined to be unqualified; based on this condition, the user weighted throughput rate and activation factor of the target cell are calculated, and the process of determining the quality of the target cell is given.

The BWP configuration data of different user equipment at different times is shown in Table 1 below:

Table 1

The rates of different user equipment at different times are shown in Table 2 below:

Table 2

The RB occupancy data of the target cell at different times is shown in Table 3 below:

table 3

Based on the data in Table 1 and Table 2 above, calculate the weighted rate of each user equipment at different times. Weighted rate = user rate/BWP bandwidth. The weighted rate of each user equipment is as shown in Table 4 below:

Table 4

Calculate the user weighted throughput rate of all user equipment in the target cell every 5 times according to the data in Table 4 above. The user weighted throughput rate is the sum of the weighted rates of all users every 5 times. The user weighted throughput rate of the target cell every 5 times is calculated. The rate is shown in Table 5 below. By comparing the user weighted throughput rate and the throughput rate threshold, the above throughput rate threshold is set to 20. Therefore, when the user weighted throughput rate is greater than 20, the disqualification condition is not met. When the user weighted throughput rate is less than 20 When, the disqualification conditions are met, see Table 5 below.

table 5

According to the RB occupancy data of the target cell at different moments shown in Table 3, calculate the activation factor value of the target cell every 5 moments, the sum of the RB occupancy numbers within the 5 moments of the activation factor, and compare the activation factor of the target cell with the preset activation factor. The size of the above preset activation factor is set to 600. Therefore, when the activation factor is less than 600, the disqualification condition is not met. When the activation factor is greater than 600, the disqualification condition is met. See Table 6 below.

Table 6

In summary, when the user weighted throughput rate and activation factor of a cell both meet the unqualified conditions, the quality of the cell is determined to be unqualified.

From time 1 to time 5, since the user weighted throughput rate of the target cell does not meet the conditions, the quality of the target cell in this time period is qualified.

From time 6 to 10, since the activation factor of the target cell does not meet the conditions, the quality of the target cell in this time period is qualified.

From time 11 to 15, since the user weighted throughput rate and activation factor of the target cell both meet the unqualified conditions, the quality of the target cell in this time period is unqualified.

Based on the same inventive concept, embodiments of the present disclosure also provide a cell quality identification device, such as the following embodiments. Since the problem-solving principle of this device embodiment is similar to that of the above-mentioned method embodiment, the implementation of this device embodiment can refer to the implementation of the above-mentioned method embodiment, and repeated details will not be repeated.

Figure 6 shows a schematic diagram of a cell quality identification device in an embodiment of the present disclosure. As shown in Figure 6, the device includes:

The data acquisition module 610 is used to acquire partial bandwidth BWP data of multiple users in the target cell;

Calculation module 620, used to calculate the user throughput rate of the target cell based on the BWP data; and

The quality identification module 630 is used to identify the quality of the target cell based on the user throughput rate of the target cell.

In one embodiment of the present disclosure, the above-mentioned calculation module 620 is also used to calculate user throughput rates under different BWPs based on BWP data.

In one embodiment of the present disclosure, the above-mentioned calculation module 620 is also used to calculate the user throughput rate under the same BWP based on the BWP data, wherein the user throughput rate under the same BWP is the throughput rate of all users under the BWP. The sum of rates.

In one embodiment of the present disclosure, the above-mentioned calculation module 620 is also used to calculate the user throughput rate under all activated BWPs based on the BWP data, and use the user throughput rates under all activated BWPs as the user throughput rate of the target cell to pass the user throughput rate. The throughput rate determines the quality of the target cell.

In one embodiment of the present disclosure, the above-mentioned calculation module 620 is also used to calculate the weighted throughput rate of the target cell through formula (1).

In one embodiment of the present disclosure, the above-mentioned calculation module 620 is also used to calculate the activation factor of the target cell through formula (3).

In one embodiment of the present disclosure, the above-mentioned quality identification module 630 is also used to set a threshold for cell quality judgment based on BWP data.

In one embodiment of the present disclosure, the above-mentioned quality identification module 630 is also used to set a threshold for cell quality judgment according to user throughput rates under different BWPs.

In one embodiment of the present disclosure, the above-mentioned quality identification module 630 is also used to calculate the user weighted throughput rate of the target cell according to the user throughput rate under different BWPs to determine the quality of the target cell.

In one embodiment of the present disclosure, the above-mentioned data acquisition module 610 is also used to obtain the resource block RB occupancy data of the target cell; the above-mentioned calculation module 620 is also used to calculate the target based on the RB occupancy data of the target cell. The activation factor of the cell, where the activation factor represents the number of resource blocks occupied by the target cell in a certain period of time; the above-mentioned quality identification module 630 is also used to identify the user weighted throughput rate and activation factor of the target cell. Describe the quality of the target community.

In one embodiment of the present disclosure, the above-mentioned quality identification module 610 is also used to determine if the user-weighted throughput rate of the target cell is less than a preset throughput rate threshold and the activation factor is greater than a preset activation factor threshold. The quality of the target cell is unqualified.

In one embodiment of the present disclosure, the above-mentioned quality identification module 610 is also used to determine when the user-weighted throughput rate of the target cell is less than a preset throughput rate threshold and the activation factor is greater than a preset activation factor threshold. The quality of the target cell meets the unqualified condition; the total number of times the target cell meets the unqualified condition is counted within a preset time period; when the total number of times the target cell meets the unqualified condition is greater than or equal to the preset number of times, The quality of the target cell is determined to be unqualified.

In one embodiment of the present disclosure, refer to the schematic diagram of another cell quality identification device shown in Figure 7. As shown in Figure 7, the above device may also include an alarm module 640. The alarm module 640 is used to determine the quality of the target cell. When the quality is unqualified, a quality unqualified alarm is triggered. By triggering an unqualified quality alarm, it can remind relevant staff to discover the network quality status of the target community in a timely manner, so as to facilitate subsequent processing of network problems in the target community.

Those skilled in the art will understand that various aspects of the present disclosure may be implemented as systems, methods, or program products. Accordingly, various aspects of the present disclosure may be embodied as fully hardware Implementations, complete software implementations (including firmware, microcode, etc.), or implementations that combine hardware and software aspects, may be collectively referred to as "circuit", "module" or "system" here.

An electronic device 800 according to this embodiment of the present disclosure is described below with reference to FIG. 8 . The electronic device 800 shown in FIG. 8 is only an example and should not bring any limitations to the functions and usage scope of the embodiments of the present disclosure.

As shown in Figure 8, electronic device 800 is embodied in the form of a general computing device. The components of the electronic device 800 may include, but are not limited to: the above-mentioned at least one processing unit 810, the above-mentioned at least one storage unit 820, and a bus 830 connecting different system components (including the storage unit 820 and the processing unit 810).

Wherein, the storage unit stores program code, and the program code can be executed by the processing unit 810, so that the processing unit 810 performs the steps according to various exemplary embodiments of the present disclosure described in the "Example Method" section of this specification. For example, the processing unit 810 can perform the following steps of the above method embodiment: obtain partial bandwidth BWP data of multiple users in the target cell; calculate the user throughput rate of the target cell based on the BWP data; identify the target based on the user throughput rate of the target cell The quality of the neighborhood.

The storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 8201 and/or a cache storage unit 8202, and may further include a read-only storage unit (ROM) 8203.

Storage unit 820 may also include a program/utility 8204 having a set of (at least one) program modules 8205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, Each of these examples, or some combination, may include the implementation of a network environment.

Bus 830 may be a local area representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. bus.

Electronic device 800 may also communicate with one or more external devices 840 (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 800, and/or with Any device that enables the electronic device 800 to communicate with one or more other computing devices (eg, router, modem, etc.). This communication may occur through input/output (I/O) interface 850. Furthermore, the electronic device 800 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through a network adapter 860. As shown, network adapter 860 communicates with other modules of electronic device 800 via bus 830. It should be understood that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.

Through the above description of the embodiments, those skilled in the art can easily understand that the examples described here are The implementation method can be realized by software, or it can be realized by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a terminal device, a network device, etc.) to execute a method according to an embodiment of the present disclosure.

In particular, according to embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer program product. The computer program product includes: a computer program. When the computer program is executed by a processor, the above-mentioned uplink transmitter is implemented. Switch method.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, and the computer-readable storage medium may be a readable signal medium or a readable storage medium. Program products capable of implementing the above methods of the present disclosure are stored thereon. In some possible implementations, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program code. When the program product is run on a terminal device, the program code is used to cause the terminal device to execute the above described instructions. The steps according to various exemplary embodiments of the present disclosure are described in the "Exemplary Methods" section.

More specific examples of computer-readable storage media in this disclosure may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard drives, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

In this disclosure, a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave carrying readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A readable signal medium may also be any readable medium other than a readable storage medium that can send, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device.

Alternatively, program code embodied on a computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

When implemented, program code for performing operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and Includes conventional procedural programming languages—such as "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on. In situations involving remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., provided by an Internet service). Businessmen come through Internet connection).

It should be noted that although several modules or units of equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to embodiments of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into being embodied by multiple modules or units.

Furthermore, although various steps of the methods of the present disclosure are depicted in the drawings in a specific order, this does not require or imply that the steps must be performed in that specific order, or that all of the illustrated steps must be performed to achieve the desired results. result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution, etc.

Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described here can be implemented by software, or can be implemented by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, a mobile terminal, a network device, etc.) to execute a method according to an embodiment of the present disclosure.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common common sense or customary technical means in the technical field that are not disclosed in the disclosure. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

A cell quality identification method, which includes:

Obtain partial bandwidth BWP data of users in the target cell;

Based on the BWP data, calculate the user throughput rate of the target cell;

Based on the user throughput rate of the target cell, the quality of the target cell is identified.
The cell quality identification method according to claim 1, wherein calculating the user throughput rate of the target cell based on BWP data includes:

Based on the BWP data, user throughput rates under different BWPs are calculated.
The cell quality identification method according to claim 1, wherein calculating the user throughput rate of the target cell based on BWP data includes:

Based on the BWP data, calculate the user throughput rate under the same BWP, where the user throughput rate under the same BWP is the sum of the throughput rates of all users under the BWP.
The cell quality identification method according to claim 1, wherein calculating the user throughput rate of the target cell based on BWP data includes:

Based on the BWP data, calculate the user throughput rate under all activated BWPs, and use the user throughput rates under all activated BWPs as the user throughput rate of the target cell to determine the user throughput rate of the target cell. The quality of the target area.
The cell quality identification method according to claim 1, wherein identifying the quality of the target cell based on the user throughput rate of the target cell includes:

Set the threshold for cell quality judgment according to the BWP data;

Based on the user throughput rate and the threshold for cell quality determination, the quality of the target cell is identified.
The cell quality identification method according to claim 2, wherein identifying the quality of the target cell based on the user throughput rate of the target cell includes:

Set the threshold for cell quality judgment according to the user throughput rate under different BWPs;

Based on the user throughput rate and the threshold for cell quality determination, the quality of the target cell is identified.
The cell quality identification method according to claim 2, wherein identifying the quality of the target cell based on the user throughput rate of the target cell includes:

Calculate the user weighted throughput rate of the target cell according to the user throughput rates under different BWPs and the BWP data;

Based on the user weighted throughput rate, the quality of the target cell is identified.
The cell quality identification method according to claim 7, wherein the method further includes:

Obtain resource block RB occupancy data of the target cell;

Calculate the activation factor of the target cell based on the RB occupancy data of the target cell, where the activation factor represents the number of resource blocks occupied by the target cell within a certain time period;

The quality of the target cell is identified based on the user-weighted throughput rate and activation factor of the target cell.
The cell quality identification method according to claim 7, wherein calculating the user weighted throughput rate of the target cell according to the user throughput rates under different BWPs and the BWP data includes:

Calculate the user-weighted throughput rate of the target cell through the following formula:

Among them, Weighted gNB Throughput represents the user weighted throughput rate of the target cell, Throughput ij represents the user throughput rate of the i-th user in the target cell at the j-th time, and BWP ij represents the user throughput rate of the i-th user in the target cell at the j-th time. BWP, period represents the total duration of statistical network data, users represents the total number of user equipment in the target cell, i and j are both positive integers.
The cell quality identification method according to claim 8, wherein calculating the activation factor of the target cell based on the RB occupancy data of the target cell includes:

Calculate the activation factor of the target cell by the following formula:

Among them, Activation Efficiency represents the activation factor of the target cell, Count(RB)j represents the number of RBs occupied by the target cell at time j, and period represents the total duration of statistical network data.
The cell quality identification method according to claim 8, wherein identifying the quality of the target cell based on the user weighted throughput rate and activation factor of the target cell includes:

When the user-weighted throughput rate of the target cell is less than the preset throughput rate threshold and the activation factor is greater than the preset activation factor threshold, the quality of the target cell is determined to be unqualified.
The cell quality identification method according to claim 8, wherein identifying the quality of the target cell based on the user weighted throughput rate and activation factor of the target cell includes:

When the user-weighted throughput rate of the target cell is less than the preset throughput rate threshold and the activation factor is greater than the preset activation factor threshold, it is determined that the quality of the target cell meets the unqualified condition;

Count the total number of times the target cell meets the unqualified conditions within a preset time period;

When the total number of times that the target cell satisfies the unqualified condition is greater than or equal to the preset number of times, the quality of the target cell is determined to be unqualified.
A cell quality identification device, which includes:

The data acquisition module is used to obtain partial bandwidth BWP data of multiple users in the target community;

A calculation module configured to calculate the user throughput rate of the target cell based on BWP data; and

A quality identification module, configured to identify the quality of the target cell based on the user throughput rate of the target cell.
An electronic device, including:

processor; and

memory for storing executable instructions for the processor;

Wherein, the processor is configured to execute the cell quality identification method in any one of claims 1 to 12 by executing the executable instructions.
A computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the cell quality identification method described in any one of claims 1 to 12 is implemented.
A computer program product includes a computer program, wherein when the computer program is executed by a processor, the cell quality identification method according to any one of claims 1-12 is implemented.