Priority frequency point determination method, user equipment and base station thereof

Through the base station collecting and analyzing the UE's measurement report data, calculating the RSRP average value of the frequency points and classifying the levels, giving priority to issuing quality high-quality frequency points, solving the problem of difficult manual network environment measurement and analysis, and achieving efficient business performance and system performance.

CN119893561APending Publication Date: 2025-04-25深圳市佳贤通信科技股份有限公司
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Patent Information

Application Number
CN202411826124.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

The prior art is difficult to manually perform network environment measurement and analysis, resulting in high labor costs and low accuracy of environmental analysis, and the inability to ensure business results efficiently.

Method used

Through the base station, the measurement report data reported by user equipment (UE), including frequency points and reference signal restricted process (RSRP), statistics and cache data, calculate the average value of RSRP, and divide it into excellent and poor levels according to the interval, affecting the measurement configuration issuance process, and priority is given to issuing quality high-quality frequency points.

Benefits of technology

It realizes that in the mobility process, it is necessary to switch to cells at high-quality and high-quality frequency as much as possible, reduce labor costs, improve business performance and system performance, and reduce manual intervention.

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Abstract

The present invention relates to the technical field of 5G communications, and provides a quality priority frequency point determination method, user equipment and a base station, the base station performs statistics and analysis based on a certain sample size according to data such as RSRP and frequency points of each neighbor cell in a UE measurement report to obtain a cell RSRP smooth value for each frequency point; and correspondingly obtaining that two levels of frequency point quality are good and poor. According to the method, related processing is carried out on frequency points of different quality levels (such as adjusting a frequency point issuing sequence during measurement and distribution and avoiding direct issuing of measurement and distribution related to poor-quality frequency points), so that after optimization, UE can be switched into a cell in a high-quality frequency point as much as possible during movement, and manual intervention and labor cost are reduced as much as possible on the premise of ensuring system performance and service effects.
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Description

Technical Field

[0001] The present application belongs to the field of 5G communication transmission technology, and in particular, relates to a method for determining high-quality frequency points, user equipment and base station thereof. Background Art

[0002] As a very important research direction in 5G communication technology, mobility management involves how to switch networks seamlessly and quickly in a timely manner according to changes in factors such as location and signal strength during the daily movement of end users in actual use, and ensure the continuity and low latency of communication, and optimize the use of network resources. Mobility management not only refers to simple inter-cell switching, but also includes intelligent network resource management, user identification, network connection optimization, load balancing adjustment and other aspects, which plays a significant role in improving user experience and reducing communication latency.

[0003] Currently, in the mobility process, after the terminal accesses the network, it will receive the RRC reconfiguration signaling sent by the base station, including the measurement configuration. When in service, the terminal will frequently measure the signal strength of the surrounding cells, report the measurement events according to the measurement configuration, and trigger mobility processes such as switching and redirection to access the new target cell.

[0004] In an actual networking environment, there are multiple frequency points. For a cell, the RSRP of neighboring cells at certain frequency points around it is obviously better. However, during the measurement, the UE may first measure the neighboring cell at a frequency point with relatively poor RSRP, which just meets the event threshold. As a result, the UE switches to a cell at a poor-quality frequency point, which will affect actual services and reduce the efficiency of field debugging.

[0005] In addition, due to the complex field conditions, it is difficult to conduct network environment measurement and analysis manually. The labor cost is high and the accuracy of environmental analysis is low, which cannot guarantee the business effect efficiently. Summary of the invention

[0006] The embodiments of the present application provide a method for determining high-quality frequency points, a user device and a base station thereof, which can solve the technical problems that it is difficult to conduct network environment measurement and analysis manually, the labor cost is high and the accuracy of environmental analysis is low, and the service effect cannot be guaranteed efficiently.

[0007] The technical solution adopted by the present invention is: On the first aspect, the present application provides a method for determining high-quality frequency points, wherein the base station collects and analyzes measurement report data reported by the UE, including frequency points and RSRP; each time the measurement information of a certain cell is received, the base station performs statistics and caches, and the frequency measurement information counter of the frequency point to which the cell belongs will increase by 1. When the timer reaches the set value, the base station will stop collecting and caching measurement data related to the quality judgment of the frequency point, and then calculate and analyze the existing RSRP data of each cell under the frequency point, calculate the RSRP average value, and divide it into two levels: excellent and poor according to the interval.

[0008] Furthermore, the specific method is as follows: Step 1: When obtaining the UE measurement report, the base station will collect measurement data for each frequency point, including the frequency point and RSRP. When collecting the data, it is necessary to collect measurement reports of non-serving cells; Step 2: Each time the measurement information of a certain frequency point is obtained, it will be recorded, and the measurement information counter of the frequency point will be increased by 1; Step 3: During the validity period of the method of the present invention, if a frequency point counter reaches the maximum sample volume, its data cache is stopped, and the RSRP average value of the frequency point is calculated based on the existing data, and then a quality indicator is generated; Step 4: Determine whether there is a frequency point where the sample size of the relevant measurement information is less than the minimum sample size threshold; Step 5: For the frequency points where the sample volume is too low, the base station sends relevant measurement configurations to obtain additional data; Step 6: Update the quality levels of all frequencies based on the existing data.

[0009] Furthermore, when it takes effect, it will affect the relevant processes of the base station RRC layer to send measurement configurations. Based on the frequency points with updated quality levels, when sending measurement configurations, the UE capabilities will be checked first. Within the frequency range supported by the UE, the base station will give priority to sending high-quality frequencies to avoid sending poor-quality frequencies first or sending all frequencies at once, prompting the UE to measure high-quality frequencies first and move to the cell with high-quality frequencies in a timely manner when the event conditions are met.

[0010] In a second aspect, the present application provides a user equipment, in which a high-quality frequency management module, a high-quality frequency discovery module and a frequency index statistics module are provided in a gNB-CU; The high-quality frequency management module is responsible for managing the frequency quality identification. The related operations involve the generation and update of frequency quality identification. The high-quality frequency discovery module is responsible for obtaining UE measurement reports and issuing related measurement configurations; The frequency index statistics module is responsible for counting and analyzing the information in the measurement report, which includes frequency and RSRP.

[0011] In a third aspect, the present application provides a base station that implements the method described in the first aspect.

[0012] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: 1) Use base stations to collect UE measurement reports, collect and analyze networking environment data, and obtain high-quality and low-quality frequency points, which will affect the measurement and configuration delivery process, so that UE can try to enter cells with high-quality frequencies while moving, reduce labor costs, and improve service performance in actual scenarios.

[0013] 2) In actual field applications, after the cell completes the addition of neighboring frequency points, the frequency points are further divided by quality based on the measurement report. For poor-quality frequencies, avoid directly sending related measurements and configurations, and first send high-quality frequency points for measurement and configuration, so as to prompt the UE to measure the high-quality frequencies first and switch to the cell with the high-quality frequencies when relevant events are met. This minimizes manual intervention and reduces labor costs while ensuring system performance and business effects.

[0014] 3) The high-quality frequency determination method proposed in the present invention mainly focuses on the mobility process of the user terminal. By collecting UE measurement reports through the base station, the networking environment data is collected and analyzed, which affects the measurement configuration delivery process and the terminal mobility process. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 It is a schematic diagram of the system structure provided in the embodiment of the present application. DETAILED DESCRIPTION

[0017] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0018] The system is equipped with high-quality frequency point management module, high-quality frequency point discovery module, and frequency point index statistics module, among which: The high-quality frequency management module is responsible for managing frequency quality identification and is used for frequency quality identification generation and frequency quality identification update.

[0019] The high-quality frequency discovery module is responsible for obtaining UE measurement reports and issuing related measurement configurations.

[0020] The frequency index statistics module is responsible for statistics and analysis of information in the measurement report, including frequency, RSRP, etc.

[0021] The embodiment of the present application provides that the base station side collects UE measurement reports and performs data analysis. On the basis of completing the addition of neighboring frequency points in the cell, the base station collects and analyzes the measurement report data reported by the UE, including the frequency point and RSRP, and configures counters and timers related to the effectiveness function. After receiving the measurement information of the cell each time, the base station performs statistics and caches, and performs the following operations. The frequency point measurement information counter of the cell is increased by 1. When the timer reaches the set value, the base station stops collecting and caching the measurement data related to the quality judgment of the frequency point, and then calculates and analyzes the existing RSRP data of each cell under the frequency point, calculates the average value of RSRP, and divides it into two levels: excellent and poor according to the interval.

[0022] An embodiment of the present application also provides data supplement for frequency points with insufficient sample size by sending special measurement configurations through the base station. During the validity period, if sufficient measurement information of certain frequency points is not received after the relevant function timer times out, the base station sends relevant measurement configurations for supplementary acquisition. During the data supplementation time period, the frequency point analysis sample size is supplemented. After the sample supplement timer times out, the quality levels of all frequency points are updated according to the existing data.

[0023] Another embodiment of the present application also provides a method for influencing the base station measurement configuration sending process according to the frequency quality level: when it takes effect, the measurement configuration sending process of the base station RRC layer will be affected by the frequency level, and all the frequencies to be measured will no longer be sent at one time. Instead, based on the frequency with the updated quality level and the support of UE capabilities, within the frequency range supported by the UE, the base station will give priority to sending high-quality frequencies, and avoid sending low-quality frequencies first or sending all frequencies at one time. The UE is encouraged to measure the high-quality frequency first, and move to the cell under the high-quality frequency in time when the event conditions are met.

[0024] For example, when there are frequencies with high quality, poor quality, and no quality identification to be sent for measurement configuration, the base station divides the frequencies to be measured into two batches and sends the configurations. The interval time is flexibly and reasonably configured according to the actual needs of the field to achieve the best service effect.

[0025] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0026] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0027] An embodiment of the present application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps in any of the above-mentioned method embodiments when executing the computer program.

[0028] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0029] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0030] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0031] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0032] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0033] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0034] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining high-quality frequency points, characterized in that: The base station collects and analyzes the measurement report data reported by the UE, including the frequency and RSRP. Each time the measurement information of a cell is received, the base station performs statistics and caches it. The frequency measurement information counter of the frequency to which the cell belongs will increase by 1. When the timer reaches the set value, the base station will stop collecting and caching the measurement data related to the quality judgment of the frequency, and then calculate and analyze the RSRP data of each existing cell under the frequency, calculate the RSRP average value, and divide it into two levels: excellent and poor.

2. A method for determining high-quality frequency points as claimed in claim 1, characterized in that: The specific method is as follows: Step 1: When obtaining the UE measurement report, the base station will collect measurement data for each frequency point, including the frequency point and RSRP. When collecting the data, it is necessary to collect measurement reports of non-serving cells; Step 2: Each time the measurement information of a certain frequency point is obtained, it will be recorded, and the measurement information counter of the frequency point will be increased by 1; Step 3: During the validity period of the method of the present invention, if a frequency point counter reaches the maximum sample volume, its data cache is stopped, and the RSRP average value of the frequency point is calculated based on the existing data, and then a quality indicator is generated; Step 4: Determine whether there is a frequency point where the sample size of the relevant measurement information is less than the minimum sample size threshold; Step 5: For the frequency points where the sample volume is too low, the base station sends relevant measurement configurations to obtain additional data; Step 6: Update the quality levels of all frequencies based on the existing data.

3. A method for determining high-quality frequency points as claimed in claim 1, characterized in that: When it takes effect, it will affect the related processes of the base station RRC layer sending measurement configurations. Based on the updated quality level of the frequency, when sending the measurement configuration, the UE capability is checked first. Within the frequency range supported by the UE, the base station will give priority to sending high-quality frequencies to avoid sending poor-quality frequencies first or sending all frequencies at once, prompting the UE to measure high-quality frequencies first and move to the cell with high-quality frequencies in time when the event conditions are met.

4. A user equipment, in a gNB-CU, characterized in that: It also consists of a high-quality frequency point management module, a high-quality frequency point discovery module, and a frequency point index statistics module; The high-quality frequency management module is responsible for managing the frequency quality identification. The related operations involve the generation and update of frequency quality identification. The high-quality frequency discovery module is responsible for obtaining UE measurement reports and issuing related measurement configurations; The frequency index statistics module is responsible for counting and analyzing the information in the measurement report, which includes frequency and RSRP.

5. A base station, characterized in that: A base station implementing the method as claimed in claim 1.