Community quality assessment methods, devices, electronic equipment and storage media

Abstract

This application relates to a cell quality assessment method, apparatus, computer equipment, and storage medium. The method includes: obtaining target network configuration parameters of the currently camped cell of the electronic device based on its current state; determining target assessment parameters of the serving cell based on the target network configuration parameters; filtering candidate beams of the currently camped cell based on the serving cell target assessment parameters to obtain a target beam; and assessing the quality of the currently camped cell based on the target beam to obtain a corresponding cell quality assessment result. This method can effectively improve the accuracy of cell quality assessment.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, apparatus, electronic device, and computer-readable storage medium for assessing community quality. Background Technology

[0002] With the development of computer technology, the functions and types of mobile terminals are becoming increasingly diverse, including various personal computers, laptops, smartphones, tablets, and portable wearable devices. When a mobile terminal camps on an NR or NewRadio (5G) network, it is necessary to continuously measure the quality of the current cell and the quality of neighboring cells based on mobility requirements.

[0003] However, in current cell quality assessment methods, cell quality is usually calculated by combining the quality of one or more strongest beams. This method does not accurately reflect the quality of beams in the cell environment, resulting in low accuracy in cell quality assessment. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and computer-readable storage medium for assessing cell quality, which can effectively improve the accuracy of cell quality assessment.

[0005] A community quality assessment method, applied to electronic devices, includes:

[0006] Based on the state of the electronic device, obtain the target network configuration parameters of the current cell in which the electronic device is currently camped;

[0007] Determine the target evaluation parameters for the serving cell based on the target network configuration parameters;

[0008] Based on the serving cell target evaluation parameters, the candidate beams of the currently camped cell are screened to obtain the target beam;

[0009] Based on the target beam, the quality of the currently occupied cell is evaluated to obtain the corresponding cell quality evaluation result.

[0010] A community quality assessment device, installed in an electronic device, includes:

[0011] The network acquisition module is configured to acquire the target network configuration parameters of the current cell of the electronic device based on the state of the electronic device.

[0012] The parameter determination module is configured to determine the target evaluation parameters of the serving cell based on the target network configuration parameters.

[0013] The beam filtering module is configured to filter candidate beams of the currently camped cell based on the serving cell target evaluation parameters to obtain the target beam;

[0014] The quality assessment module is configured to assess the quality of the currently occupied cell based on the target beam and obtain the corresponding cell quality assessment result.

[0015] An electronic device includes a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the cell quality assessment method described above.

[0016] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0017] The aforementioned cell quality assessment method, apparatus, computer equipment, and storage medium, based on the state of the electronic device, obtain the target network configuration parameters of the currently camped cell and determine the serving cell target assessment parameters accordingly. Based on the serving cell target assessment parameters, candidate beams for the currently camped cell are screened to obtain the target beam. The quality of the currently camped cell is then assessed based on the target beam, yielding the corresponding cell quality assessment result. This allows for the standard type of target assessment parameters to be determined using the target network parameters of the currently camped cell, and uses these target assessment parameters as the basis for beam screening. This makes the cell quality calculation results more accurate, truly reflecting the actual beam situation in the cell environment, and obtaining more discriminative cell quality, thereby effectively improving the accuracy of cell quality assessment. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a diagram illustrating the application environment of a community quality assessment method in one embodiment;

[0020] Figure 2 Here is a flowchart of a community quality assessment method in one embodiment;

[0021] Figure 3 This is a flowchart of the steps in one embodiment where the target measurement report trigger parameter associated with an event-type measurement threshold is a third parameter;

[0022] Figure 4 This is a flowchart illustrating the steps of comparing the cell quality assessment results of the currently occupied cell with the cell quality assessment results of each neighboring cell in one embodiment.

[0023] Figure 5 This is a schematic diagram illustrating the quality assessment of different cells in one embodiment;

[0024] Figure 6 This is a flowchart of a terminal mobility enhancement decision process based on the strongest beam in one embodiment;

[0025] Figure 7 This is a schematic diagram of the application environment for a terminal's quality assessment of a cell at a certain moment in one embodiment.

[0026] Figure 8 This is a flowchart illustrating the overall process of a terminal evaluating cell quality and optimizing mobility in one embodiment.

[0027] Figure 9 This is a structural block diagram of a community quality assessment device in one embodiment;

[0028] Figure 10 This is a diagram of the internal structure of an electronic device in one embodiment. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0030] It is understood that the terms "first," "second," etc., used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, without departing from the scope of this application, a first client may be referred to as a second client, and similarly, a second client may be referred to as a first client. Both the first client and the second client are clients, but they are not the same client.

[0031] Figure 1 This is a schematic diagram illustrating the application environment of a community quality assessment method in one embodiment. For example... Figure 1As shown, the application environment includes electronic device 102 and base station 104. The application environment can be an environment where electronic device 102 interacts with base station 104. Specifically, electronic device 102 and base station 104 communicate via a wireless connection. That is, electronic device 102 can transmit messages with base station 104 via a wireless connection. Based on its own state, electronic device 102 can obtain the target network configuration parameters of its currently camped cell from base station 104. Electronic device 102 determines the serving cell target evaluation parameters based on the target network configuration parameters. Based on the serving cell target evaluation parameters, electronic device 102 filters candidate beams for the currently camped cell to obtain the target beam. Based on the target beam, electronic device 102 evaluates the quality of the currently camped cell and obtains the corresponding cell quality evaluation result. After obtaining the corresponding cell quality evaluation result, electronic device 102 can compare the cell quality evaluation result of the currently camped cell with the cell quality evaluation results of each neighboring cell to obtain the comparison result. Based on the comparison result, it triggers the reporting of a measurement report to base station 104. The electronic device 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices; portable wearable devices can be smartwatches, smart bracelets, etc. The base station 104 can be implemented using a standalone base station or a base station cluster composed of multiple base stations.

[0032] NR, short for New Radio, is also known as the New Air Interface. Mobile communication systems mainly consist of three parts: terminals, base stations, and the core network, forming two subsystems. The interface between the terminal and the base station, which transmits electromagnetic waves through the air, is called the "air interface." The terminal and base station form the base station subsystem, while the core network, with its many complex network elements, forms the network subsystem. 4G and 5G base stations are connected to the same core network, forming a 5G non-standalone (NSA) network architecture. In this application's embodiments, NR can be New Radio (5G), i.e., 5G NR. 5G NR is very flexible; it can be deployed independently or in a non-standalone network with 4G. In standalone deployment, the 5G base station connects to the 5G core network; in non-standalone deployment, the 5G base station and 4G base station can connect to either the 4G or 5G core network.

[0033] Figure 2 This is a flowchart of a cell quality assessment method in one embodiment. The cell quality assessment method in this embodiment is designed to run on... Figure 1 The description will be based on an example of an electronic device. Figure 2 As shown, the community quality assessment method includes steps 202 to 206.

[0034] Step 202: Based on the state of the electronic device, obtain the target network configuration parameters of the cell where the electronic device is currently camped.

[0035] Electronic devices are a type of embedded computer system device, and their software architecture can be divided into system software and application software. Common operating systems for electronic devices include Apple's iOS, Google's Android, HP's WebOS, and Microsoft Windows. The electronic devices in this application can include smartphones, tablets, wearable devices, etc., with wearable devices including smartwatches, smart bracelets, etc.

[0036] The state of an electronic device refers to the state between the electronic device and the network. For example, the state of an electronic device in 5G NR can be the state based on the RRC (Radio Resource Control) protocol. Radio Resource Control (RRC), also known as Radio Resource Management (RRM) or Radio Resource Allocation (RRA), refers to the management, control, and scheduling of radio resources through certain strategies and methods. This aims to fully utilize limited wireless network resources while meeting quality of service requirements, ensuring coverage of the planned area, and maximizing service capacity and resource utilization. User Equipment (UE) refers to the user equipment used in the network.

[0037] Taking electronic devices as terminals as an example, the terminal states under the RRC protocol are mainly of the following two types: idle state and connected state. The idle state (RRC_IDLE) can be further divided into two sub-states, which are described as follows: (1) NULL (empty state): The network terminal is in the empty state when it is first powered on; or the network terminal will automatically jump to the empty state after an unrecoverable error such as a failure of the underlying link occurs. (2) IDL (idle state): When the network terminal is in the idle state, it can encode system information and configure the MAC sublayer to broadcast system messages, so that the UE can obtain the current system information in real time. In the idle state, RRC can also configure the UE to perform channel measurement, so that the network terminal can monitor the channel quality in real time and configure the UE to camp in a more suitable cell. When the network terminal receives a paging request from another user terminal, the RRC sublayer encodes the paging message through the functional entity of ASN.1 and sends it to the paging user terminal.

[0038] The connection state (RRC_CONNECTED) can be divided into three different states, which are described as follows: (1) ACC (Random Access State): Random access is initiated by the user terminal, but before that, the network needs to determine whether the cell is blocked. Random access can only be performed if it is not blocked, and the basis for the judgment is the reason for random access. The random access state is when the user receives the connection establishment request message configured by its own higher layer and configures the radio resources and radio channels. In layman's terms, it means that when the user needs to dial after powering on, random access is required. (2) CON (Connection State): The normal connection state is, as the name suggests, the entire process of the call is called the connection state. In this state, SRB2 and DRBS need to be established to complete the establishment of the radio link. Only after it is established can communication be carried out. (3) HO (Handover): Handover is simply understood as when the user needs to switch from the current cell to another cell, handover is required. It can be between cells of the same frequency or different frequencies. In this process, the network will perform corresponding operations on the terminal's behavior.

[0039] The cell currently camped by an electronic device refers to the cell selected by the electronic device that meets the camping criteria. For example, if a terminal wants to successfully camp on a cell, the cell must meet the S criterion. During the cell selection process, the terminal needs to measure the cell to be selected in order to perform channel quality assessment and determine whether it meets the camping criteria. The measurement criterion for cell selection is called the S criterion. When the channel quality of a cell meets the S criterion, it can be selected as the camping cell.

[0040] Network configuration parameters refer to the configuration parameters corresponding to the currently camped cell. The network configuration parameters of a cell can include different types of configuration parameters or criteria. For example, the network configuration parameters of the currently camped cell can include the TriggerQuantity, which is the measurement report trigger quantity for network configuration events. TriggerQuantity is used to determine the standard type for evaluating event-type trigger reports; "rsrp" represents using RSRP as the evaluation standard quantity, and "rsrq" represents using RSRQ as the evaluation standard quantity. RSRP (Reference Singular Received Power) is defined as the linear average of the power contribution of resource elements carrying the cell-specific reference signal within the measured bandwidth under consideration. RSRQ (Reference Singular Received Quantum) is defined as the ratio between NxRSRP and E-UTRA carrier RSSI (NxRSRP / RSSI). N is the number of RBs occupied by the E-UTRA carrier RSSI measurement bandwidth; the measurement results of the numerator and denominator must be obtained on the same RBs.

[0041] Let's take an electronic device as an example. When a terminal camps on an NR (5G) network, based on mobility requirements, it's necessary to continuously measure the current cell and neighboring cells. In the mobility management assessment process, the evaluation metrics used to judge cell quality include RSRP, RSRQ, and SINR. SINR (Signal to Interference plus Noise Ratio) refers to the ratio of the strength of the received useful signal to the strength of the received interference signal (noise and interference); it can be simply understood as the "signal-to-noise ratio." These three evaluation metrics reflect the cell's signal quality from different perspectives: RSRP reflects the cell's signal strength, RSRQ reflects the cell's load status, and SINR reflects the cell's throughput.

[0042] Specifically, the terminal can obtain its current state and, based on that state, retrieve the target network configuration parameters for the currently camped cell. For example, assuming the terminal's current state is idle, it can use the network configuration parameters associated with the idle state as the target network configuration parameters. Similarly, if the terminal is in a connected state, it can use the network configuration parameters associated with the connected state as the target network configuration parameters.

[0043] Step 204: Determine the target evaluation parameters of the serving cell based on the target network configuration parameters.

[0044] A serving cell refers to a cell that provides network communication services to a terminal. For example, if the current location of the terminal is Bao'an District, Shenzhen, then the serving cell could be the area covered by a base station deployed in Bao'an District, Shenzhen. A cell, also known as a cellular unit, refers to the area covered by a base station or a portion of a base station (fan antenna) in a cellular mobile communication system, within which a mobile terminal can reliably communicate with the base station via a wireless channel.

[0045] Target evaluation parameters refer to parameters used to evaluate cell quality. For example, evaluation criteria used to assess the quality of a cell may include RSRP, RSRQ, and SINR.

[0046] Specifically, after obtaining the target network configuration parameters of the currently camped cell based on its current state, the terminal can determine the target evaluation parameters of the serving cell based on these parameters. For example, assuming the terminal obtains the target network configuration parameters of the currently camped cell as network configuration parameters associated with the connection state, the terminal can determine the target evaluation parameters of the serving cell based on these connection state-associated network configuration parameters.

[0047] Step 206: Based on the target evaluation parameters of the serving cell, the candidate beams of the currently serving cell are screened to obtain the target beam.

[0048] Candidate beams refer to beams in the currently camped cell. For example, if the terminal is currently camped in cell 1, and can detect beams 1 and 2 in cell 1, then beams 1 and 2 are candidate beams. Target beams refer to beams that meet the criteria selected from the candidate beams based on the serving cell target evaluation parameters.

[0049] Specifically, after the terminal determines the serving cell target evaluation parameters based on the target network configuration parameters, the terminal can filter candidate beams in the currently camped cell based on the serving cell target evaluation parameters to obtain the target beam. For example, assuming the terminal determines the serving cell target evaluation parameters to be RSRQ based on the target network configuration parameters, the terminal filters candidate beams in the currently camped cell 1 based on RSRP. In cell 1, the terminal can detect beam 1 and beam 2, so beam 1 and beam 2 are candidate beams. Beam 1 has an RSRP of 3dB, and beam 2 has an RSRP of 1dB. Therefore, the terminal filters candidate beam 1 and candidate beam 2 in the currently camped cell based on RSRP. Since 3dB is greater than 1dB, the terminal can select beam 1 as the target beam.

[0050] Step 208: Based on the target beam, assess the quality of the currently occupied cell and obtain the corresponding cell quality assessment result.

[0051] Cell quality assessment results refer to the evaluation results of cell signals based on target assessment parameters. Cell quality assessment results can include the results obtained by linearly averaging cell signals based on assessment parameters of different dimensions. For example, cell quality assessment results can include RSRP assessment results, RSRQ assessment results, and SinR assessment results. RSRP assessment results are the results of the terminal's evaluation of the cell signal based on the assessment parameter RSRP; RSRQ assessment results are the results of the terminal's evaluation of the cell signal based on the assessment parameter RSRQ; and SinR assessment results are the results of the terminal's evaluation of the cell signal based on SinR. For example, assuming the terminal linearly averages the RSRP of the target beam based on the RSRP assessment standard, the resulting linearly averaged RSRP assessment result is the cell quality assessment result corresponding to the currently occupied cell.

[0052] Specifically, the terminal filters candidate beams for the currently serving cell based on the serving cell target evaluation parameters. After obtaining the target beam, the terminal can evaluate the quality of the currently serving cell based on the target beam and obtain the corresponding cell quality evaluation result. It is understood that the method for evaluating cell quality based on the target beam in this embodiment includes, but is not limited to, the linear averaging calculation method, and may also be other calculation methods. The calculation method for evaluating cell quality is not limited here.

[0053] For example, assuming the terminal determines the target evaluation parameter for the serving cell as the RSRP metric based on the target network configuration parameters, the terminal filters candidate beams for the currently camped cell based on the RSRP threshold, obtaining target beams 1, 2, and 3. Among them, the RSRP of beam 1 is -80dBm, the RSRP of beam 2 is -82dBm, and the RSRP of beam 3 is -84dBm. The terminal can then perform a linear average calculation on the RSRP of beam 1, beam 2, and beam 3 to obtain a linearly averaged RSRP result of -82dBm. This RSRP result of -82dBm is the cell quality evaluation result corresponding to the currently camped cell.

[0054] In this embodiment, based on the state of the electronic device, the target network configuration parameters of the currently camped cell are obtained, and the target evaluation parameters of the serving cell are determined according to the target network configuration parameters. Based on the target evaluation parameters of the serving cell, candidate beams of the currently camped cell are screened to obtain the target beam. Based on the target beam, the quality of the currently camped cell is evaluated to obtain the corresponding cell quality evaluation result. Therefore, by determining the type of target evaluation parameters based on the target network parameters of the currently camped cell and using the target evaluation parameters as the basis for beam screening, the cell quality calculation results are more accurate, truly reflecting the actual beam situation in the cell environment, and obtaining more discriminative cell quality, thereby effectively improving the accuracy of cell quality evaluation.

[0055] In one embodiment, the serving cell target evaluation parameters include any one or a combination of any of the following parameters:

[0056] The first parameter used to reflect the signal strength of a cell;

[0057] A second parameter used to reflect the load status of the cell; and

[0058] The third parameter used to reflect the throughput of a cell.

[0059] Among them, the first parameter reflecting the cell signal strength can be RSRP, the second parameter reflecting the cell load status can be RSRQ, and the third parameter reflecting the cell throughput can be SINR.

[0060] Specifically, after obtaining the target network configuration parameters of the currently camped cell based on its current state, the terminal can determine the serving cell target evaluation parameters according to these parameters. Since the evaluation criteria used to determine cell quality during mobility management assessment include RSRP, RSRQ, and SINR, the serving cell target evaluation parameters can include any one or a combination of these parameters. This makes the calculation method for cell quality assessment results more flexible and targeted, and allows for the selection of the optimal beam based on the evaluation criteria that the network focuses on, ensuring that terminal mobility management matches the network's expected conditions.

[0061] In one embodiment, the step of obtaining the target network configuration parameters of the current cell where the electronic device is camped, based on the state of the electronic device, includes:

[0062] If the electronic device is in an idle state, the condition triggering parameter is used as the target network configuration parameter. The condition triggering parameter is used to represent the evaluation standard quantity of the measurement threshold when reselecting a cell with a priority lower than the priority threshold.

[0063] The conditional triggering parameter can be `threshServingLowQ`, a network configuration parameter specified in the communication protocol. `threshServingLow` refers to the low-priority reselection threshold for the serving frequency point. `threshServingLowQ` defines the measurement threshold of the serving cell when the UE reselects a lower-priority cell. The evaluation standard quantity of the serving cell measurement threshold, `RSRQ`, is defined for the UE when reselecting a lower-priority cell. `threshServingLowQ` is a parameter configured in sib2 (System Information Block 2). It is understood that the parameters configured in sib2 include, but are not limited to, `threshServingLowQ`, and can also be other parameters, such as `threshServingLowP`. `threshServingLowP` defines the evaluation standard quantity of the serving cell measurement threshold, `RSRP`, for the UE when reselecting a lower-priority cell. The specific parameters of the conditional triggering parameter are not limited here.

[0064] Specifically, let's take the conditional trigger parameter `threshServingLowQ` as an example. After the terminal successfully establishes a Recruitment Controlled (RRC) connection with the network, it enters the RRC connected state. When the terminal is camped on a cell but has not established an RRC connection, it is in the RRC idle state. If the terminal is currently in the RRC idle state, it uses `threshServingLowQ` as the target network configuration parameter. That is, the terminal obtains the target network configuration parameter of its currently camped cell as `threshServingLowQ`. This allows the network-configured trigger parameter to be used as the basis for beam filtering, resulting in more accurate cell quality assessments that more realistically reflect the actual beam situation in the cell, leading to more discriminative cell quality and ensuring that the terminal's cell quality assessment method aligns with network mobility management requirements.

[0065] In one embodiment, the step of determining the target evaluation parameters of the serving cell based on the target network configuration parameters includes:

[0066] If the conditional triggering parameters are obtained, the target evaluation parameter for the serving cell is determined to be the second parameter;

[0067] If the condition triggering parameter is not obtained, the target evaluation parameter of the serving cell is determined to be the first parameter.

[0068] The second parameter reflects the cell signal load, and in this example, it can be rsrq. The first parameter reflects the cell signal strength, and in this example, it can be rsrp.

[0069] Specifically, let's take the conditional trigger parameter `threshServingLowQ` as an example. If the terminal is currently in RRC idle state, the terminal uses `threshServingLowQ` as the target network configuration parameter; that is, the terminal obtains `threshServingLowQ` as the target network configuration parameter for the currently camped cell. If the terminal obtains the configured `threshServingLowQ` parameter from the `sib2` of the currently camped cell, it determines the serving cell target evaluation parameter as `rsrq`; that is, the terminal uses `rsrq` as the evaluation parameter for evaluating the cell's quality. If the terminal does not obtain the configured `threshServingLowQ` parameter from `sib2`, it determines the serving cell target evaluation parameter as `rsrp`; that is, the terminal uses `rsrp` as the evaluation parameter for evaluating the cell's quality.

[0070] For example, assuming the terminal detects the `threshServingLowQ` parameter configured in the network during idle state, when switching serving cells in idle state, the terminal uses `rsrq` as a "ranking reference" for beam filtering. Specifically, based on the `rsrq` threshold, the terminal selects the top N (nrofSS - BlocksToAverage) beams with the strongest `rsrp` in the cell environment and performs a linear averaging of their `rsrp` values ​​to obtain the evaluation result of the cell based on the `rsrp` evaluation standard. Here, `nrofSS - BlocksToAverage` is the average number of synchronization signal block beams, or simply the number of beams. The "ranking reference" refers to ranking multiple beams in the cell based on a certain measurement, arranged in descending order of the measurement value. For example, the terminal uses RSRQ as a "ranking reference" for beam filtering. Based on an RSRQ threshold, the terminal arranges multiple beams in the currently camped cell in descending order of RSRQ value. Then, based on the protocol's nrofSS-BlocksToAverage, the terminal selects the top N (nrofSS-BlocksToAverage) beams with the strongest RSRP in the ranking and performs a linear average of their RSRP values. This yields the evaluation result of the camped cell based on the RSRP evaluation standard. This ensures that the terminal's cell quality evaluation method aligns with network mobility management requirements, using network-configured conditional triggering parameters as the basis for beam ranking and filtering. This results in more accurate cell quality evaluations that more realistically reflect the actual beam situation within the cell, leading to more discriminative cell quality assessments.

[0071] In one embodiment, the step of obtaining the target network configuration parameters of the current cell where the electronic device is camped, based on the state of the electronic device, further includes:

[0072] If the electronic device is in a connected state, the target measurement report triggering parameter associated with the event-type measurement threshold is used as the target network configuration parameter. The target measurement report triggering parameter is used to determine the evaluation standard quantity type for evaluating the event-type triggered report.

[0073] Based on trigger type, measurement report types can be divided into periodic and event-based. Event-based measurement thresholds refer to the evaluation standard thresholds associated with event-based measurement reports. Measurement report trigger parameters are used to determine the type of evaluation standard quantity for evaluating event-based triggered reports. The measurement report trigger parameter can be `MeasTriggerQuantity`, which is a network configuration parameter specified in the communication protocol. `MeasTriggerQuantity`, i.e., the measurement (report) trigger quantity, defines the evaluation standard quantity type for event-based triggered reports, used to determine the standard type for evaluating event-based triggered reports. "rsrp" represents using RSRP as the evaluation standard, and "rsrq" represents using RSRQ as the evaluation standard.

[0074] Specifically, assuming the network configuration event A3 specifies the evaluation criterion threshold associated with event A3 as rsrp 1dB, for example, the parameter configured in the network configuration parameters is: A3-Offset: rsrp 1dB. Then, in connected state, when the terminal detects that the rsrp value of the neighboring cell signal is 1dB higher than the rsrp value of the current primary serving cell signal, the terminal triggers the upload of a measurement report, and the network initiates a handover to the neighboring cell. Here, handover refers to changing the serving cell in connected state, usually caused by the terminal's location movement. The conditions for changing cells are configured by the network, including different parameters and criteria.

[0075] Table 1: Examples of terminal measurement results for defect scenario 1 in the traditional method

[0076]

[0077] For example, as shown in Table 1 above, the current network configuration for the MeasTriggerQuantity of the A3 event is sinr1dB. This means the network wants the terminal to switch to a cell with a better sinr to obtain higher throughput. However, in the traditional method, the terminal uses RSRP as the standard for beam selection, and the RSRP and sinr of a beam are not necessarily positively correlated. That is, beams with larger sinr values ​​may not be included in the calculation of cell quality. For example, beam 2 of the neighboring cell cell 2 in Table 1, although its sinr is 35, which is the highest sinr value, will be ignored when calculating cell quality, causing the terminal to be unable to switch to cell 2 with a better sinr.

[0078] Table 2: Improvements to Defect Scenario 1 (Comparison with Table 1)

[0079]

[0080] In this embodiment, the calculation method for cell measurement results is more flexible and targeted. The optimal beam is selected based on network-focused evaluation criteria, ensuring that terminal mobility management matches the network's expected conditions. Taking scenario 1 in Table 1 as an example, using the method of this embodiment, the terminal can switch to cell 2 with a better sinr (sinr) to achieve higher throughput. Specifically, this embodiment obtains the terminal's state; if in a connected state, the target measurement report trigger parameter associated with the event-type measurement threshold is used as the target network configuration parameter. The serving cell target evaluation parameter is then determined based on the target network configuration parameter, ensuring that the terminal's cell quality evaluation method aligns with network mobility management requirements. Using the network-configured target measurement report trigger parameter as the basis for beam sorting and selection makes the calculated cell quality evaluation results more accurate and more realistically reflect the actual beam situation in the cell, resulting in more discriminative cell quality. In other words, the terminal can use sinr as the standard for beam selection, calculating that beam 2 in cell 2 has a higher sinr value, and therefore switches to cell 2 with a better sinr.

[0081] In one embodiment, such as Figure 3 As shown, the method also includes a step whereby the target measurement report trigger parameter associated with the event-type measurement threshold is a third parameter, specifically including:

[0082] Step 302: If the target measurement report trigger parameter associated with the event-type measurement threshold is the third parameter, then detect whether the third parameter of the neighboring cell signal is higher than the third parameter of the currently camped cell signal.

[0083] Step 304: If the third parameter of the neighboring cell signal is detected to be higher than the third parameter of the current cell signal, a measurement report is uploaded to the base station to trigger the handover process from the current cell to the neighboring cell.

[0084] The third parameter is used to reflect the cell signal throughput, and in this example, the third parameter can be sinr.

[0085] Specifically, in connected mode, if the terminal obtains the target measurement report trigger parameter sinr associated with the event-type measurement threshold, the terminal will detect whether the sinr of the neighboring cell signal is higher than the sinr of the current camping cell signal. If the terminal detects that the sinr of the neighboring cell signal is higher than the sinr of the current camping cell signal, it will upload the measurement report to the base station to trigger the process of switching from the current camping cell to the neighboring cell.

[0086] This makes the comparison results more accurate by comparing the quality of the current cell beam with that of the neighboring cell beam based on the target measurement report trigger parameters associated with the event-type measurement threshold, thus avoiding switching to a cell with a weaker beam.

[0087] In one embodiment, such as Figure 4 As shown, after evaluating the quality of the currently occupied cell based on the target beam and obtaining the corresponding cell quality evaluation result, the method further includes a step of comparing the cell quality evaluation result of the currently occupied cell with the cell quality evaluation results of each neighboring cell, specifically including:

[0088] Step 402: Compare the current community quality assessment results with the community quality assessment results of each neighboring community.

[0089] Step 404: When the quality of a neighboring cell is detected to be higher than that of the currently occupied cell, the neighboring cell is used as the target cell for handover.

[0090] Step 406: Obtain the first target beam of the currently camped cell and the second target beam of the target cell to be switched.

[0091] Step 408: Compare the first target beam and the second target beam.

[0092] Step 410: Based on the determination that the quality of the first target beam is higher than that of the second target beam, and that the quality of the currently serving cell meets the threshold condition of the current service type, the currently serving cell is continued to be used as the serving cell.

[0093] Specifically, the terminal evaluates the quality of the currently occupied cell based on the target beam. After obtaining the corresponding cell quality evaluation result, the terminal can compare the cell quality evaluation result of the currently occupied cell with the cell quality evaluation results of each neighboring cell.

[0094] like Figure 5The diagram illustrates the quality assessment of different cells. The terminal detects two beams in cell 1 (i.e., Cell 1) that satisfy the absThreshSS-BlocksConsolidation (i.e., synchronization signal block beam integration threshold, also simply called beam threshold), namely Beam1 (i.e., beam 1) and Beam2 (i.e., beam 2). The evaluation criteria can include rsrp, rsrq, and sinr. A certain evaluation criterion is used as the sorting quantity, i.e., the sorting reference quantity. The strength of a certain evaluation criterion for beam 1 is excellent, 25, which is the terminal's current serving beam. However, the strength of this evaluation criterion for beam 2 is only 5, making it a weak beam. Thus, according to the traditional averaging algorithm, the quality of cell 1 is calculated to be 15. In the same environment, the terminal detects only one beam in cell 2 (i.e., Cell 2), which is Beam1. The strength of the evaluation standard value of beam 1 in cell 2 is 20. Therefore, the calculated quality of cell 2 is 20. Since 20 is greater than 15, cell 2 is determined to have a higher quality than cell 1. In this environment, if the terminal switches to cell 2, the beam service quality obtained by the terminal will deteriorate: the strength of the serving beam will decrease from 25 to 20. However, using the solution provided in this implementation, when the quality of the neighboring cell (cell 2) is detected to be higher than the quality of the currently camped cell (cell 1), the neighboring cell (cell 2) is used as the target handover cell. Before switching cells, the terminal also needs to evaluate the quality of the beam in the target handover cell based on the target beam. Assume the terminal selects the target beams (i.e., the strongest beams) from cells 1 and 2 based on the sorting quantity. The terminal can identify beam 1 as the first target beam in the currently serving cell (cell 1) and beam 1 as the second target beam in the target handover cell (cell 2). The terminal compares beam 1 in cell 1 with beam 1 in cell 2. If the terminal detects that the quality of beam 1 in cell 1 is higher than that in cell 2 (i.e., 25 is greater than 20), and the quality of the currently serving cell (cell 1) meets the threshold condition for the current service type, then the terminal continues to use the currently serving cell as the serving cell, and the handover process is not initiated. In other words, the terminal can automatically determine that the strongest beam strength of the currently serving cell is 25, while the strongest beam strength of the target handover cell is only 20, thus avoiding a switch to a weaker beam.This allows for a second comparison of cell quality according to existing standards. After determining that a cell needs replacement, the strongest beams of the current serving cell and the target cell are compared again. Here, the strongest beam refers to the strongest beam obtained by ranking multiple beams in the cell from strongest to weakest according to the ranking reference discussed earlier. If the strongest beam of the current serving cell is superior to the strongest beam of the target cell, and the signal quality of the serving cell meets the current service type, the cell replacement process is abandoned. This avoids triggering reselection or reporting handover-related measurement reports. Therefore, unnecessary cell replacements can be avoided while meeting current service requirements, reducing power consumption and signaling overhead.

[0095] In one embodiment, if the quality of the currently serving cell does not meet the threshold condition for the current service type, a process of switching serving cells is triggered.

[0096] Specifically, such as Figure 6 The diagram shows a flowchart of the terminal's mobility enhancement decision process based on the strongest beam. The terminal evaluates the quality of the currently serving cell based on the target beam. After obtaining the corresponding cell quality evaluation result, the terminal can use this result for mobility evaluation. That is, the terminal can compare the cell quality evaluation result of the currently serving cell with the cell quality evaluation results of each neighboring cell. When the terminal's evaluation according to existing protocol standards does not meet the conditions for cell replacement, and the terminal detects that the quality of the currently serving cell does not meet the current service requirements (e.g., data service is in progress but the block error rate is high or uplink latency is severe), and a beam with a stronger ranking reference exists in the neighboring cell environment (i.e., the strongest beam in the neighboring cell environment based on the ranking reference is superior to the strongest beam in the current serving cell based on the ranking reference), an additional cell replacement process can be triggered to meet the service requirements. Here, the block error rate refers to the percentage of erroneous blocks out of all transmitted blocks. Uplink latency refers to the time delay from the start of data transmission at the sending end to the receiving end receiving acknowledgment from the receiving end. Furthermore, when the terminal determines that a cell needs to be replaced based on existing NR specifications, the terminal can perform a second comparison between the strongest beam of the current serving cell and the target cell. It can be understood that the strongest beam here refers to the strongest beam obtained after sorting the strength of multiple beams in the cell from largest to smallest according to the sorting reference value discussed above. If the strongest beam of the current serving cell is better than the strongest beam of the target cell, and the signal quality of the serving cell meets the current service type, then the process of triggering cell replacement is abandoned.

[0097] The mobility assessment optimization scheme provided in this embodiment compares the optimal beams of the source and target cells before triggering a cell replacement, thus avoiding switching to a weaker beam. Simultaneously, when it is detected that the quality of the currently camped cell does not meet the current service requirements—for example, data services are in progress but the block error rate is high or uplink latency is severe—and a beam with a stronger ranking reference exists in a neighboring cell environment, an additional cell replacement process can be triggered to meet the service requirements. This effectively improves the accuracy of cell changes, resulting in a better user experience and reduced signaling overhead.

[0098] In one embodiment, the threshold condition includes either the signal quality of the currently camped cell being greater than or equal to a first preset signal quality threshold, or the signal quality of the target handover cell being less than a second preset signal quality threshold. Here, the threshold condition refers to a corresponding limiting condition set according to the service type. Different types of services can have different threshold conditions preset. For example, the threshold condition may include thresholds for different preset evaluation standard quantities, such as RSRP, RSRQ, and SinR. For instance, an RSRP higher than -80dBm is generally considered to indicate good coverage and can meet the requirements of voice services. Therefore, the threshold condition for voice services can be set to RSRP not lower than -80dBm. That is, when the terminal detects that the RSRP value of the currently camped cell signal is greater than or equal to -80dBm, the terminal can determine that the quality of the currently camped cell meets the requirements of the current voice service, i.e., it meets the threshold condition for the current voice service. Alternatively, when the terminal detects that the RSRP value of the target handover cell signal is less than -80dBm, the terminal can determine that the quality of the target handover cell does not meet the requirements of the current voice service, i.e., it does not meet the threshold condition for the current voice service. Understandably, the threshold conditions required for other different services can also be obtained through simulation. For example, the threshold condition for a certain service obtained from simulation is that sinr is not less than 30dBm. The specific content of the threshold condition is not limited here. As a result, in the cell evaluation of mobility management, by determining whether the current serving cell meets the threshold conditions corresponding to the current service type, and by adding the comparison of the strongest beam, the accuracy of cell changes is greatly improved, resulting in a better user experience and reduced signaling overhead.

[0099] In one embodiment, according to the current NR specification, in a multi-beam cell environment, if the network is configured with a beam threshold (absThreshSS-BlocksConsolidation) and a beam count N (nrofSS-BlocksToAverage), and the best beam quality is higher than the threshold, the terminal will combine the strongest beams (the number of beams does not exceed nrofSS-BlocksToAverage) to calculate the cell quality; otherwise, the highest beam measurement quantity value will be used as the cell quality measurement value. In the assessment process of mobility management, the evaluation criteria used to judge cell quality include RSRP, RSRQ, and SinR. Mobility management typically requires a comprehensive consideration of all three metrics. However, since these three metrics do not exhibit a definite positive correlation—for example, the beam with the highest detected RSRP strength may not necessarily have the highest RSRQ and SinR due to heavy load or strong interference noise—traditional methods that combine one or more of the strongest beams to determine cell quality—either relying on a fixed evaluation metric or assessing cell quality based on the top N strongest beams, often result in low accuracy in assessing the quality of multi-beam cells.

[0100] Among them, `absThreshSS-BlocksConsolidation` is the synchronization signal block beam consolidation threshold, also known simply as the beam threshold. `absThreshSS-BlocksConsolidation` limits the beams above the beam threshold to be used in cell quality calculation. For example, if the strongest beam in a cell environment is not higher than this beam threshold, the terminal directly uses the quality of the strongest beam as the cell quality. The beam threshold is a parameter configured in the network `rrcReconfiguration` and `sib` messages. `nrofSS-BlocksToAverage` is the average number of synchronization signal block beams, also known simply as the number of beams. `nrofSS-BlocksToAverage` limits the number of beams participating in cell quality calculation to a maximum of this number; that is, the top N strongest beams are used to calculate cell quality. The number of beams is also a parameter configured in the network `rrcReconfiguration` and `sib` messages.

[0101] Traditionally, there are two methods for beam filtering when calculating cell quality:

[0102] Method 1: (1) Based on beam threshold, the RSRP threshold is obtained by the terminal selecting the N strongest beams (N is less than or equal to the average number of beams in the synchronization block) in the cell environment and performing a linear average of their RSRP values; (2) Based on beam threshold, the RSRQ threshold is obtained by the terminal selecting the N strongest beams (N is less than or equal to the average number of beams in the synchronization block) in the cell environment and performing a linear average of their RSRQ values; (3) Based on beam threshold, the SinR threshold is obtained by the terminal selecting the N strongest beams (N is less than or equal to the average number of beams in the synchronization block) in the cell environment and performing a linear average of their SinR values. The N beams in (1), (2), and (3) above can be different beams.

[0103] Method 2: Based on the beam threshold and RSRP threshold, the terminal selects the top N beams (N is less than or equal to the average number of beams in the synchronization signal block) with the strongest RSRP in the cell environment. Further, the terminal linearly averages the RSRP of these N beams to obtain the cell's RSRP; the terminal linearly averages the RSRq of these N beams to obtain the cell's RSRq; and the terminal linearly averages the sinr of these N beams to obtain the cell's sinr.

[0104] For the traditional method one, the top N strong beam groups obtained based on rsrp, rsrq and sinr may contain different beams. The calculated cell quality does not reflect the merging of N beams. It may be a combination of more beams with dominant parameters. The cell quality evaluation is calculated too optimistically, which may cause the terminal to be unable to select the best cell in the current environment and unable to obtain service on the optimal beam.

[0105] For the traditional second method, which simply uses RSRP as the standard for selecting the strongest beam, when the network configuration reselection or handover standard is based on RSRQ (for idle and connected states) or SINR (for connected states only), the terminal's beam selection based on RSRP will not match the network's expectations, resulting in the obtained cell quality not reflecting the true situation of the beams in the cell environment.

[0106] like Figure 7The diagram illustrates the application environment for a terminal's cell quality assessment at a given moment. Cell 1 represents cell 1, Cell 2 represents cell 2, Beam 1 represents beam 1, Beam 2 represents beam 2, Beam 3 represents beam 3, and the Original serving cell represents the original serving cell. The terminal is leaving the coverage area of ​​the original serving cell. Two cells, cell 1 and cell 2, can be detected in the target area. Beam 1 and beam 2 can be detected in cell 1, and beam 3 can be detected in cell 2. In cell 1, beam 2 provides good coverage for the terminal's location (beam 2's RSRP strength is higher than beam 1), but due to heavy load or a large number of users, beam 2's RSRQ value is lower than beam 1's RSRQ value. In cell 2, beam 3 provides coverage for the terminal's location comparable to beam 2, meaning beam 3 has the same RSRP strength as beam 2, and beam 3's RSRQ value of 3dB is also good. According to the existing NR specifications, the actual measurement results of the terminal are shown in Table 2 below, which does not distinguish the quality of the two cells. Understandably, Table 3 below provides a simplified calculation example: 1) It does not consider the network configuration parameter nrofSS-BlocksToAverage, i.e., it takes the strongest beam measurement as the cell result; 2) It does not consider sinr. The same problem exists even if the above two points are considered, only the calculation will be more complex.

[0107] Table 3: Examples of terminal measurement results for defect scenario 2 in the traditional method

[0108]

[0109] As shown in Table 3 above, according to the traditional method 1, the RSRP of cell 1 comes from the RSRP of beam 2, while the RSRQ of cell 1 comes from the RSRQ of beam 1. This leads to an overestimation of the quality of cell 1, as no single beam can actually achieve this quality. Although cell 2 has beam 3 with both good RSRP and RSRQ, the quality assessment result of cell 2 is the same as that of cell 1. The terminal or network cannot make the optimal mobility judgment based on the quality of these two cells.

[0110] To address the problems of the aforementioned solutions, this embodiment provides an optimization scheme for evaluating cell quality based on beam evaluation standard quantities and an optimization scheme for mobility evaluation based on the optimal beam. Both schemes can be used simultaneously or individually, and both can achieve the corresponding optimization effects.

[0111] The cell quality assessment method provided in this application effectively avoids the shortcomings of traditional methods:

[0112] The cell assessment results are calculated more accurately and with stronger discriminative power. As shown in Table 4 below, taking defect scenario 2 in Table 3 as an example, after using the method of this application embodiment, it can be distinguished that cell 2 has excellent performance in all assessment criteria, while cell 1 is only comparable to cell 2 in one criterion. The terminal can choose to prioritize camping on cell 2 to obtain better service (in connected mode, the terminal can choose to prioritize reporting cell 2, or report the measurement results of both cells, and the network will select cell 2, which has better performance in multiple criteria).

[0113] Table 4: Improvements to Defect Scenario 2 (Comparison with Table 3)

[0114]

[0115] The method provided in this application can be applied to multi-beam cell environments. The following uses a quality assessment scenario in a multi-beam cell environment as an example to illustrate the cell quality assessment method provided in this application, including the following steps:

[0116] like Figure 8 The diagram shows the overall flowchart of the terminal's assessment of cell quality and optimization of mobility.

[0117] First, the terminal can analyze network configuration parameters and determine the expected mobility triggering condition type (rsrp, rsrq, or sinr) based on these parameters. Then, it selects one of these three evaluation criteria as the "sorting quantity" for beam filtering. The mobility triggering condition types include these three evaluation criteria: rsrp, rsrq, and sinr.

[0118] The terminal obtains its current state. If it is in an idle state, the terminal can determine this by checking if the network has configured the `threshServingLowQ` parameter in sib2. If the network has configured this parameter, the reselection condition is based on `rsrq`; otherwise, it is based on `rsrp`. Subsequently, when evaluating the cell signal measurement results, the terminal can use the evaluation criteria associated with the reselection condition as a "sorting reference" for beam filtering. Reselection refers to changing the serving cell in an idle state, usually caused by terminal relocation. The reselection condition refers to the evaluation parameters used to assess the cell information quality when changing cell service.

[0119] In connected mode, the network-configured mobility conditions are primarily based on the measurement report trigger quantity (MeasTriggerQuantity) associated with the event-type measurement threshold. When the terminal evaluates the cell measurement results, it performs targeted beam filtering according to the MeasTriggerQuantity associated with the event-type threshold configured by the network. The beam filtering evaluation criteria can differ for different measurement events. For example, if the MeasTriggerQuantity configured for event A2 is rsrp, which primarily focuses on the absolute strength of the cell signal, then the calculation of the serving cell quality should be based on the strongest "ranking reference quantity" rsrp for beam filtering. As another example, if the MeasTriggerQuantity configured for inter-frequency event A3 is sinr, which primarily focuses on the cell's signal-to-interference-to-noise ratio, then the calculation of the quality of related neighboring cells and the serving cell should be based on the strongest "ranking reference quantity" sinr for beam filtering.

[0120] After the terminal sorts the multiple beams in a detected cell according to the aforementioned "sorting reference values," it can further determine whether the strongest beam has a beam count of 1. If the strongest beam has a beam count of 1, the terminal takes the evaluation criteria of the strongest beam after sorting as the measurement result of the cell. If the strongest beam has a beam count of 1 or more, the terminal takes the top N strongest beams (N is based on the network-side configuration parameter nrofSS-BlocksToAverage), and performs a linear average of the evaluation criteria of the selected top N strongest beams to obtain the measurement result of the cell.

[0121] Furthermore, after obtaining the cell measurement results, this embodiment also provides a supporting optimization scheme based on the strongest beam during the mobility assessment phase. Specifically, the terminal compares the quality of the current serving cell and neighboring cells based on the current NR specifications. If it determines that a cell replacement is necessary, the terminal performs a second comparison of the strongest beams of the current serving cell and the target cell. It should be understood that the strongest beam mentioned here refers to the strongest beam obtained by sorting according to the aforementioned "sorting reference value." If the strongest beam of the current serving cell is superior to the strongest beam of the target cell, and the signal quality of the current serving cell meets the current service type, the terminal abandons the process of triggering a cell replacement. This allows unnecessary cell replacement processes to be avoided while satisfying the current service requirements, reducing power consumption and signaling overhead.

[0122] For example, if RSRP is higher than -80dBm, the coverage is generally considered to be good and can meet the needs of voice services. If the terminal detects that the strongest beam of the current serving cell is better than the strongest beam of the target cell, and the signal quality of the current serving cell meets the needs of the current voice service (i.e., RSRP is higher than -80dBm), the terminal will abandon the process of triggering cell switching.

[0123] The cell quality assessment method proposed in this embodiment uses the triggering characteristics of reselection or measurement reports as the basis for beam sorting and filtering, making the cell quality calculation results more accurate and able to more realistically reflect the actual beam situation, resulting in more discriminative cell quality, and ensuring that the terminal's cell quality calculation method is consistent with network mobility management requirements. Simultaneously, in the cell assessment for mobility management, the addition of a comparison judgment of the strongest beam improves the accuracy of cell changes, leading to a better user experience and reduced signaling overhead.

[0124] Table 5 below shows the cell and beam strength variations during the test case process (terminal received strength values ​​after considering line loss compensation).

[0125] Table 5: Changes in cell and beam intensity during the test case process

[0126]

[0127] Step 1: Configure NR cell 1 as the serving cell and NR cell 2 (with two beams) as a neighboring cell of cell 1. First, turn on cell 1 and adjust the signal quality level of both cells to T0.

[0128] Step 2: The terminal camps in cell 1, enters connected mode, and establishes data service. Cell 2 is activated, and the strength of the two beams in cell 2 is adjusted to T1.

[0129] Step 3: The instrument configures the measurement objects of the frequency point of cell 2 to the terminal via reconfiguration messages (without configuring absThreshSS-BlocksConsolidation, and configuring reportQuantityCell including rsrp and rsrq) and A3 event reporting (the TriggerQuantity of a3-Offset is rsrp of 0dB).

[0130] Step 4: The terminal reports the A3 event detection of cell 2 and records the results of cell 2 reported by the terminal.

[0131] Step 5: The instrument changes the A3 event reporting via a reconfiguration message, and the TriggerQuantity of a3-Offset is rsrq (0dB).

[0132] Step 6: The terminal reports the A3 event detection of cell 2 and records the results of cell 2 reported by the terminal.

[0133] Step 7: The instrument switches the terminal to cell 2, and then adjusts the relevant beam quality of the two cells to T2.

[0134] Step 8: Delete all previous measurement configurations, reconfigure the measurement objects for the frequency point of cell 1, and configure the parameters absThreshSS-BlocksConsolidation->thresholdRSRP(-95dBm), nrofSS-BlocksToAverage:2 and A3 event reporting (a3-Offset->rsrp2dB).

[0135] Step 9: Check if the terminal reports A3 test results.

[0136] Step 10: Adjust the relevant beam quality of the two cells to T3

[0137] Step 11: Check if the terminal reports A3 test results.

[0138] If, in the above test case process, the reported result of cell 2 in Step 4 is the same as that of beam 2, and the reported result of cell 2 in Step 6 is the same as that of beam 1, it indicates that the user terminal has adopted the cell quality assessment method provided in this application embodiment. If the terminal does not report A3 test results in Step 9, but reports A3 test results in Step 11, it indicates that the user terminal has adopted the mobility assessment optimization method provided in this application embodiment. That is, the mobility assessment optimization scheme provided in this application embodiment compares the optimal beams of the source cell and the target cell before the cell replacement is triggered, avoiding switching to a weaker beam.

[0139] It should be understood that, although Figure 1-8 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1-8 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0140] Figure 9 This is a structural block diagram of a community quality assessment device according to one embodiment. Figure 9 As shown, a cell quality assessment device is provided, including: a network acquisition module 902, a parameter determination module 904, a beam filtering module 906, and a quality assessment module 908, wherein:

[0141] The network acquisition module 902 is configured to acquire the target network configuration parameters of the current cell where the electronic device is camped, based on the state of the electronic device.

[0142] The parameter determination module 904 is configured to determine the target evaluation parameters of the serving cell based on the target network configuration parameters.

[0143] The beam filtering module 906 is configured to filter candidate beams of the currently camped cell based on the serving cell target evaluation parameters to obtain the target beam.

[0144] The quality assessment module 908 is configured to assess the quality of the currently occupied cell based on the target beam and obtain the corresponding cell quality assessment result.

[0145] In one embodiment, the parameter determination module is further configured to use the condition triggering parameter as the target network configuration parameter if the electronic device is in an idle state; the condition triggering parameter is used to represent the evaluation standard quantity of the measurement threshold when reselecting a cell with a priority lower than the priority threshold.

[0146] In one embodiment, the parameter determination module is further configured to determine the serving cell target evaluation parameter as the second parameter if the condition triggering parameter is obtained; and to determine the serving cell target evaluation parameter as the first parameter if the condition triggering parameter is not obtained.

[0147] In one embodiment, the parameter determination module is further configured to use the target measurement report triggering parameter associated with the event-type measurement threshold as the target network configuration parameter if the electronic device is in a connected state, wherein the target measurement report triggering parameter is used to determine the evaluation standard quantity type for evaluating the event-type triggering report.

[0148] In one embodiment, the device further includes a parameter detection module and a report upload module.

[0149] The parameter detection module is configured to detect whether the third parameter of the neighboring cell signal is higher than the third parameter of the currently camped cell signal if the trigger parameter of the target measurement report associated with the event-type measurement threshold is the third parameter. The report upload module is configured to upload a measurement report to the base station if the third parameter of the neighboring cell signal is detected to be higher than the third parameter of the currently camped cell signal, thereby triggering the handover process from the current camped cell to the neighboring cell.

[0150] In one embodiment, the device further includes a quality comparison module.

[0151] The quality comparison module is configured to compare the cell quality assessment results of the currently occupied cell with the cell quality assessment results of each neighboring cell. The parameter detection module is also configured to use the neighboring cell as the target cell for handover when the quality of a neighboring cell is detected to be higher than that of the currently occupied cell.

[0152] In one embodiment, the network acquisition module is further configured to acquire a first target beam of the currently serving cell and a second target beam of the target handover cell. The parameter determination module is further configured to continue using the currently serving cell as the serving cell if it is determined that the quality of the first target beam is higher than the quality of the second target beam, and the quality of the currently serving cell meets the threshold condition of the current service type.

[0153] In one embodiment, the device further includes a trigger module.

[0154] The trigger module is configured to trigger the process of switching serving cells if the quality of the currently serving cell does not meet the threshold conditions of the current service type.

[0155] The division of the various modules in the above-mentioned community quality assessment device is only for illustrative purposes. In other embodiments, the community quality assessment device can be divided into different modules as needed to complete all or part of the functions of the above-mentioned community quality assessment device.

[0156] Specific limitations regarding the community quality assessment device can be found in the limitations of the community quality assessment method described above, and will not be repeated here. Each module in the aforementioned community quality assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0157] Figure 10 This is a schematic diagram of the internal structure of an electronic device in one embodiment. The electronic device can be any terminal device such as a mobile phone, tablet computer, laptop computer, desktop computer, PDA (Personal Digital Assistant), POS (Point of Sales), in-vehicle computer, wearable device, etc. The electronic device includes a processor and a memory connected via a system bus. The processor may include one or more processing units. The processor may be a CPU (Central Processing Unit) or a DSP (Digital Signal Processor), etc. The memory may include non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and computer programs. The computer programs can be executed by the processor to implement a cell quality assessment method provided in the following embodiments. The internal memory provides a cached runtime environment for the operating system computer programs in the non-volatile storage media.

[0158] The various modules in the community quality assessment device provided in this application embodiment can be implemented in the form of a computer program. This computer program can run on a terminal or server. The program modules constituted by this computer program can be stored in the memory of an electronic device. When the computer program is executed by a processor, it implements the steps of the method described in the embodiments of this application.

[0159] This application also provides a computer-readable storage medium. One or more non-volatile computer-readable storage media containing computer-executable instructions, which, when executed by one or more processors, cause the processors to perform the steps of a cell quality assessment method.

[0160] This application also provides a computer program product containing instructions that, when run on a computer, cause the computer to execute a cell quality assessment method.

[0161] Any references to memory, storage, databases, or other media used in this application may include non-volatile and / or volatile memory. Non-volatile memory may include ROM (Read-Only Memory), PROM (Programmable Read-Only Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), or flash memory. Volatile memory may include RAM (Random Access Memory), which is used as external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as SRAM (Static Random Access Memory), DRAM (Dynamic Random Access Memory), SDRAM (Synchronous Dynamic Random Access Memory), Double Data Rate DDR SDRAM (Double Data Rate Synchronous Dynamic Random Access Memory), ESDRAM (Enhanced Synchronous Dynamic Random Access Memory), SLDRAM (Sync Link Dynamic Random Access Memory), RDRAM (Rambus Dynamic Random Access Memory), and DRDRAM (Direct Rambus Dynamic Random Access Memory).

[0162] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for assessing the quality of a residential community, applied to electronic devices, characterized in that, The method includes: If the electronic device is in an idle state, the conditional triggering parameter is used as the target network configuration parameter. The conditional triggering parameter is used to represent the evaluation standard quantity of the measurement threshold when reselecting a cell with a priority lower than the priority threshold. If the conditional triggering parameter is not obtained, the serving cell target evaluation parameter is determined as the first parameter. If the conditional triggering parameter is obtained, the serving cell target evaluation parameter is determined as the second parameter. The first parameter is used to reflect the cell signal strength, and the second parameter is used to reflect the cell load status. If the electronic device is in a connected state, the target measurement report triggering parameter associated with the event-type measurement threshold is used as the target network configuration parameter, wherein the target measurement report triggering parameter is used to determine the type of evaluation standard quantity for evaluating the event-type triggering report; Based on the serving cell target evaluation parameters, the candidate beams of the currently serving cell are screened to obtain the target beam; Based on the target beam, the quality of the currently occupied cell is evaluated to obtain the corresponding cell quality evaluation result.

2. The method according to claim 1, characterized in that, The target evaluation parameters for the serving cell also include a third parameter that reflects the cell's throughput.

3. The method according to claim 2, characterized in that, The method further includes: If the target measurement report trigger parameter associated with the event-type measurement threshold is the third parameter, then detect whether the third parameter of the neighboring cell signal is higher than the third parameter of the currently camped cell signal; If the third parameter of the neighboring cell signal is detected to be higher than the third parameter of the currently camped cell signal, a measurement report is uploaded to the base station to trigger the process of switching from the currently camped cell to the neighboring cell.

4. The method according to claim 1, characterized in that, The method further includes: The quality assessment results of the currently occupied community are compared with the quality assessment results of each neighboring community. When a neighboring cell is detected to have a higher quality than the currently occupied cell, the neighboring cell is selected as the target cell for handover.

5. The method according to claim 4, characterized in that, The method further includes: Obtain the first target beam of the currently camped cell and the second target beam of the target handover cell; If it is determined that the quality of the first target beam is higher than that of the second target beam, and the quality of the currently serving cell meets the threshold condition of the current service type, then the currently serving cell will continue to be used as the serving cell.

6. The method according to claim 4, characterized in that, The method further includes: If the quality of the currently serving cell does not meet the threshold conditions for the current service type, the process of switching serving cells is triggered.

7. The method according to claim 6, characterized in that, The threshold conditions include: The signal quality of the currently residing cell is greater than or equal to a first preset signal quality threshold; or The signal quality of the target handover cell is less than a second preset signal quality threshold.

8. A community quality assessment device, installed in an electronic device, characterized in that, include: The network acquisition module is configured to use the conditional triggering parameters as the target network configuration parameters if the electronic device is in an idle state. The conditional triggering parameter is used to represent the evaluation standard quantity for triggering the measurement threshold when a cell with a reselection priority lower than the priority threshold is selected. The network acquisition module is configured to use the target measurement report triggering parameter associated with the event-type measurement threshold as the target network configuration parameter if the electronic device is in a connected state. The target measurement report triggering parameter is used to determine the type of evaluation standard quantity for evaluating the event-type triggering report. The parameter determination module is configured to determine the serving cell target evaluation parameter as the first parameter if the condition triggering parameter is not obtained; and to determine the serving cell target evaluation parameter as the second parameter if the condition triggering parameter is obtained; the first parameter is used to reflect the cell signal strength, and the second parameter is used to reflect the cell load status. The beam filtering module is configured to filter candidate beams of the currently serving cell based on the target evaluation parameters of the serving cell to obtain the target beam; The quality assessment module is configured to assess the quality of the currently occupied cell based on the target beam and obtain the corresponding cell quality assessment result.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the computer program is executed by the processor, the processor performs the steps of the cell quality assessment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

11. A computer program product containing instructions, characterized in that, The computer program, when run on a computer, implements the steps of the method as described in any one of claims 1 to 7.

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