WO2023241255A1 - Procédé et appareil d'identification de qualité de cellule, et dispositif associé - Google Patents

Procédé et appareil d'identification de qualité de cellule, et dispositif associé Download PDF

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Publication number
WO2023241255A1
WO2023241255A1 PCT/CN2023/092323 CN2023092323W WO2023241255A1 WO 2023241255 A1 WO2023241255 A1 WO 2023241255A1 CN 2023092323 W CN2023092323 W CN 2023092323W WO 2023241255 A1 WO2023241255 A1 WO 2023241255A1
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Prior art keywords
target cell
user
throughput rate
quality
cell
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PCT/CN2023/092323
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English (en)
Chinese (zh)
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WO2023241255A9 (fr
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陈秀敏
黄毅华
许向东
魏垚
卢洪涛
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中国电信股份有限公司
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Publication of WO2023241255A1 publication Critical patent/WO2023241255A1/fr
Publication of WO2023241255A9 publication Critical patent/WO2023241255A9/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

Definitions

  • 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.
  • 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.
  • the throughput rate of a user equipment in the cell is lower than a preset threshold, the cell is regarded as an unqualified cell.
  • BA Bandwidth Adaptation
  • BWP BandWidth Part, partial bandwidth
  • 5G NR New Radio
  • 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.
  • a cell quality identification method 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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:
  • 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
  • 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
  • i and j are both positive integers.
  • 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:
  • Activation Efficiency represents the activation factor of the target cell
  • 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.
  • 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.
  • 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.
  • a cell quality identification device 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.
  • the above calculation module is also used to calculate user throughput rates under different BWPs based on the BWP data.
  • 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.
  • 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.
  • 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. .
  • 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.
  • 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.
  • 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.
  • the above calculation module is also used to calculate the user weighted throughput rate of the target cell through the following formula:
  • 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
  • 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
  • i and j are both positive integers.
  • the above calculation module is also used to calculate the activation factor of the target cell through the following formula:
  • 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
  • period represents the total duration of statistical network data.
  • 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.
  • 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.
  • an electronic device 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.
  • 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.
  • a computer program product including a computer program that implements the above-mentioned cell quality identification method when executed by a processor.
  • 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.
  • Figure 8 shows a structural block diagram of an electronic device in an embodiment of the present disclosure.
  • 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.
  • 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.
  • the bandwidth of a certain cell is 100Mhz
  • all users only activate the BWP of 100Mhz.
  • 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.
  • 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.
  • 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.
  • the communication system may include a base station 110 and an unlimited number of user equipments 120 in each cell.
  • 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.
  • 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).
  • RS Remote Station
  • access point English: Access Point
  • AP remote terminal
  • access terminal English: Access Terminal
  • user terminal English: User Terminal
  • User Agent English: User Agent
  • User Equipment English: User Device
  • 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.
  • 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.
  • a base station 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.
  • IP Internet Protocol
  • the base station also coordinates attribute management of the air interface.
  • 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.
  • BTS Base Transceiver Station
  • WCDMA Wireless Fidelity
  • LTE Evolution: NodeB or Abbreviation: eNB or English: e-NodeB, English: evolutionary Node B
  • 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).
  • LAN Local Area Network
  • MAN Metropolitan Area Network
  • Wide Area Network Wide Area Network
  • mobile wired or wireless network
  • private network or virtual private network
  • data exchanged over the network is represented using technologies and/or formats including HyperText Mark-up Language (HTML), Extensible Markup Language (XML), etc.
  • HTML HyperText Mark-up Language
  • XML Extensible Markup Language
  • SSL Secure Socket Layer
  • TLS Transport Layer Security
  • VPN Virtual Private Network
  • IPsec Internet Protocol Security
  • Conventional encryption techniques to encrypt all or some links 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.
  • 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.
  • the cell quality identification method provided in an embodiment of the present disclosure includes the following steps:
  • 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.
  • 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.
  • 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
  • RLC Radio Link Control, Radio Link Layer Control Protocol
  • SDU Segment data
  • HARQ Hybrid Automatic Repeat Request
  • S206 Identify the quality of the target cell based on the user throughput rate of the target cell.
  • the present disclosure can set the throughput rate threshold according to user needs or user experience of using the network.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the user-weighted throughput rate of the target cell can be calculated through the following formula:
  • 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
  • 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
  • i and j are both positive integers.
  • 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.
  • the f(BWP ij ) function is not specifically limited.
  • the above-mentioned cell quality identification method may also include the steps disclosed in Figure 3.
  • the method may include the following steps:
  • 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.
  • 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.
  • this disclosure can set the throughput rate threshold and activation factor threshold according to user needs or user experience of using the network.
  • 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.
  • 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.
  • 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:
  • 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
  • period represents the total duration of statistical network data.
  • 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.
  • 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:
  • 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.
  • 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;
  • S518 Determine the quality of the target cell to be qualified.
  • 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.
  • 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:
  • Weighted rate user rate/BWP bandwidth.
  • the weighted rate of each user equipment is as shown in Table 4 below:
  • 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.
  • 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.
  • 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.
  • the quality of the cell is determined to be unqualified.
  • 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.
  • 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.
  • the above-mentioned calculation module 620 is also used to calculate user throughput rates under different BWPs based on BWP data.
  • 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.
  • 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.
  • the above-mentioned calculation module 620 is also used to calculate the weighted throughput rate of the target cell through formula (1).
  • the above-mentioned calculation module 620 is also used to calculate the activation factor of the target cell through formula (3).
  • the above-mentioned quality identification module 630 is also used to set a threshold for cell quality judgment based on BWP data.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • FIG. 8 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.
  • 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).
  • 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.
  • 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.
  • RAM random access storage unit
  • ROM read-only storage unit
  • 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.
  • 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.
  • 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.
  • network adapter 860 communicates with other modules of electronic device 800 via bus 830.
  • electronic device 800 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.
  • 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.
  • a computing device which may be a personal computer, a server, a terminal device, a network device, etc.
  • 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.
  • the computer program is executed by a processor, the above-mentioned uplink transmitter is implemented. Switch method.
  • 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.
  • 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.
  • 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.
  • RAM random access memory
  • ROM read only memory
  • EPROM or flash memory Erasable programmable read-only memory
  • CD-ROM portable compact disk read-only memory
  • magnetic storage device or any suitable combination of the above.
  • 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.
  • 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.
  • 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.
  • 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).
  • LAN local area network
  • WAN wide area network
  • Internet service e.g., provided by an Internet service
  • 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.
  • a computing device which may be a personal computer, a server, a mobile terminal, a network device, etc.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé d'identification de qualité de cellule comprenant les étapes suivantes : obtention de données de partie de bande passante (BWP) d'un utilisateur dans une cellule cible ; calcul d'un débit d'utilisateur de la cellule cible sur la base des données de BWP ; et identification de la qualité de la cellule cible sur la base du débit d'utilisateur de la cellule cible. Selon la présente divulgation, la précision avec laquelle la qualité de cellule est identifiée est augmentée, et une mauvaise évaluation lors de l'identification de la qualité de cellule est éliminée.
PCT/CN2023/092323 2022-06-14 2023-05-05 Procédé et appareil d'identification de qualité de cellule, et dispositif associé WO2023241255A1 (fr)

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CN202210673147.1A CN117279021A (zh) 2022-06-14 2022-06-14 小区质量识别方法、装置、电子设备及存储介质
CN202210673147.1 2022-06-14

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022024092A1 (fr) * 2020-07-31 2022-02-03 Telefonaktiebolaget Lm Ericsson (Publ) Suspension/mise en sommeil/désactivation/reprise d'un second groupe de cellules secondaires déclenchés par un équipement utilisateur
WO2022021131A1 (fr) * 2020-07-29 2022-02-03 Oppo广东移动通信有限公司 Procédé de nouvelle sélection de partie de bande passante (bwp) initiale, dispositif terminal et dispositif de réseau
CN114096008A (zh) * 2021-10-28 2022-02-25 山东浪潮科学研究院有限公司 一种部分带宽调整方法、装置、电子设备及存储介质

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022021131A1 (fr) * 2020-07-29 2022-02-03 Oppo广东移动通信有限公司 Procédé de nouvelle sélection de partie de bande passante (bwp) initiale, dispositif terminal et dispositif de réseau
WO2022024092A1 (fr) * 2020-07-31 2022-02-03 Telefonaktiebolaget Lm Ericsson (Publ) Suspension/mise en sommeil/désactivation/reprise d'un second groupe de cellules secondaires déclenchés par un équipement utilisateur
CN114096008A (zh) * 2021-10-28 2022-02-25 山东浪潮科学研究院有限公司 一种部分带宽调整方法、装置、电子设备及存储介质

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