Method, device and storage medium for determining cells in the same sector

Abstract

This application discloses a method, apparatus, and storage medium for determining cells within the same sector, relating to the field of communication technology, and is used to accurately determine cells within the same sector. The method includes: acquiring multiple measurement data of a target cell, the measurement data including signal parameter values ​​of the target cell; determining the number of times a first cell is measured and the signal parameter value of the first cell in the multiple measurement data, the first cell being a neighboring cell of the target cell; if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than a first threshold, and the correlation coefficient between the first cell and the target cell is greater than a second threshold, then the first cell and the target cell are determined to be cells within the same sector, the correlation coefficient between the first cell and the target cell being determined based on the signal strength values ​​of the first cell and the target cell. In this way, it is possible to accurately determine whether multiple cells are cells within the same sector.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a method, apparatus and storage medium for determining cells in the same sector. Background Technology

[0002] With the continuous development of communication technology, communication networks are becoming increasingly complex in terms of network structure and frequency band usage. Therefore, the improvement and expansion of deep coverage in communication networks continues unabated. At the same time, the difficulty of communication network optimization is also increasing. Among these optimizations, parameter optimization of cells within the same sector is fundamental to communication network optimization; by optimizing cells within the same sector, user experience can be improved.

[0003] Typically, to determine whether multiple residential areas belong to the same sector, staff need to conduct on-site inspections. However, on-site inspections are not only costly in terms of manpower and resources, but also inefficient. Summary of the Invention

[0004] This application provides a method, apparatus, and storage medium for determining cells in the same sector, which can improve the detection efficiency of cells in the same sector.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, a method for determining cells in the same sector is provided. The method includes: acquiring multiple measurement data of a target cell, the measurement data including signal parameter values ​​of the target cell; determining the number of times a first cell is measured and the signal parameter values ​​of the first cell in the multiple measurement data, the first cell being a neighboring cell of the target cell; if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than a first threshold, and the correlation coefficient between the first cell and the target cell is greater than a second threshold, then the first cell and the target cell are determined to be cells in the same sector, the correlation coefficient between the first cell and the target cell being determined based on the signal strength values ​​of the first cell and the target cell.

[0007] Based on the technical solution provided in this application, this application determines whether a target cell and its neighboring cells belong to the same sector by measuring the target cell multiple times and comparing the target cell's measurement data with that of its neighboring cells. Since the more neighboring cells measured when measuring the target cell, the greater the probability that the two cells belong to the same sector, and by combining the correlation between the target cell and its neighboring cells, the determination of whether the target cell and its neighboring cells belong to the same sector can be more accurate. Compared to on-site surveying, this method improves efficiency and reduces labor costs.

[0008] In one possible implementation, the method further includes: determining at least one first measurement data point that includes the first cell among a plurality of measurement data points; and calculating a correlation coefficient between the first cell and the target cell based on the signal parameter values ​​of the target cell in the at least one first measurement data point and the signal parameter values ​​of the first cell.

[0009] In one possible implementation, the correlation coefficient between the first cell and the target cell satisfies a preset formula, which is: Where r(X,Y) represents the correlation coefficient between the target cell and the first cell, X represents the signal parameter value of the target cell, Y represents the signal parameter value of the first cell, Cov(X,Y) represents the covariance between the signal parameter values ​​of the target cell and the first cell, Var[X] represents the variance of the signal parameter values ​​of the target cell in at least one first measurement data, and Var[Y] represents the variance of the signal parameter values ​​of the first cell in at least one first measurement data.

[0010] In one possible implementation, the method further includes: if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is less than or equal to a first threshold, or the correlation coefficient between the first cell and the target cell is less than or equal to a second threshold, then the first cell and the target cell are determined to be cells with the same coverage but different sectors.

[0011] In one possible implementation, the above-mentioned "acquiring multiple measurement data of the target cell" may specifically include: sending a periodic measurement message to the terminal device, the periodic measurement message being used to instruct the terminal device to perform periodic measurements on the target cell; and receiving a measurement report MR from the terminal device, the MR including multiple measurement data.

[0012] Secondly, a device for determining cells within the same sector is provided. This device can be a chip or a system-on-a-chip, and can also be a functional module for implementing the method described in the first aspect or any possible design of the first aspect. The device can implement the functions performed in the above aspects or possible designs, and these functions can be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions. For example, the device includes an acquisition unit and a determination unit.

[0013] The acquisition unit is used to acquire multiple measurement data of the target cell, including the signal parameter values ​​of the target cell.

[0014] The determining unit is used to determine the number of times the first cell is measured in multiple measurement data and the signal parameter value of the first cell, wherein the first cell is a neighboring cell of the target cell.

[0015] The determining unit is further configured to determine that the first cell and the target cell are cells in the same sector if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than a first threshold and the correlation coefficient between the first cell and the target cell is greater than a second threshold. The correlation coefficient between the first cell and the target cell is determined based on the signal strength value of the first cell and the signal strength value of the target cell.

[0016] In one possible implementation, the determining unit is further configured to determine at least one first measurement data that includes the first cell among a plurality of measurement data; and to calculate a correlation coefficient between the first cell and the target cell based on the signal parameter values ​​of the target cell and the signal parameter values ​​of the first cell in the at least one first measurement data.

[0017] In one possible implementation, the correlation coefficient between the first cell and the target cell satisfies a preset formula, which is: Where r(X,Y) represents the correlation coefficient between the target cell and the first cell, X represents the signal parameter value of the target cell, Y represents the signal parameter value of the first cell, Cov(X,Y) represents the covariance between the signal parameter values ​​of the target cell and the first cell, Var[X] represents the variance of the signal parameter values ​​of the target cell in at least one first measurement data, and Var[Y] represents the variance of the signal parameter values ​​of the first cell in at least one first measurement data.

[0018] In one possible implementation, the determining unit is further configured to determine that the first cell and the target cell are cells with the same coverage but different sectors if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is less than or equal to a first threshold, or the correlation coefficient between the first cell and the target cell is less than or equal to a second threshold.

[0019] In one possible implementation, the acquisition unit is specifically used for: sending a periodic measurement message to the terminal device, the periodic measurement message being used to instruct the terminal device to perform periodic measurements on the target cell; and receiving a measurement report MR from the terminal device, the MR including multiple measurement data.

[0020] Thirdly, a communication device is provided, which can be a determining device or a chip or system-on-a-chip within the determining device. This communication device can implement the functions performed by the determining device in the above aspects or possible designs. These functions can be implemented in hardware. For example, in one possible design, the communication device may include a processor and a communication interface. The processor can be used to support the communication device in implementing the functions involved in the first aspect or any possible design of the first aspect, for example, the processor acquires multiple measurement data of a target cell through the communication interface.

[0021] In another possible design, the communication device may further include a memory for storing necessary computer execution instructions and data. When the communication device is running, the processor executes the computer execution instructions stored in the memory to cause the communication device to perform the method for determining the same sector cell described in the first aspect or any possible design of the first aspect.

[0022] Fourthly, a computer-readable storage medium is provided, which may be a readable non-volatile storage medium storing computer instructions or programs that, when executed on a computer, enable the computer to perform the method for determining cells in the same sector as described in the first aspect or any possible design of the above aspects.

[0023] Fifthly, a computer program product containing instructions is provided, which, when run on a computer, enables the computer to perform the determining method described in the first aspect or any possible design of the above aspects.

[0024] In a sixth aspect, a communication device is provided, which may be a determining device or a chip or system-on-a-chip within the determining device. The communication device includes one or more processors and one or more memories. The one or more memories are coupled to the one or more processors and are used to store computer program code, the computer program code including computer instructions, which, when executed by the one or more processors, cause the determining device to perform the determining method as described in the first aspect or any possible design of the first aspect.

[0025] In a seventh aspect, a chip system is provided, comprising a processor and a communication interface. This chip system can be used to implement the functions performed by the determination device in the first aspect or any possible design of the first aspect, such as the processor acquiring multiple measurement data of a target cell via the communication interface. In one possible design, the chip system further includes a memory for storing program instructions and / or data. The chip system can be composed of chips or may include chips and other discrete devices, without limitation.

[0026] The technical effects of any of the design methods in aspects two through seven can be found in the first aspect or any possible design of the first aspect, and will not be repeated here. Attached Figure Description

[0027] Figure 1 A schematic diagram of a cell within the same sector provided for an embodiment of this application;

[0028] Figure 2 This application provides a schematic diagram of the structure of a communication system according to an embodiment of the present application.

[0029] Figure 3 This is a schematic diagram of the structure of a determining device 300 provided in an embodiment of this application;

[0030] Figure 4 A flowchart illustrating a method for determining cells in the same sector, provided as an embodiment of this application;

[0031] Figure 5 A flowchart illustrating another method for determining cells in the same sector provided in an embodiment of this application;

[0032] Figure 6 This is a schematic diagram of the structure of a communication device 60 provided in an embodiment of this application. Detailed Implementation

[0033] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0034] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0035] It should also be understood that the term "comprising" indicates the presence of the described feature, whole, step, operation, element and / or component, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements and / or components.

[0036] Before introducing the embodiments of this application, the relevant technical terms involved in the embodiments of this application will be explained. It should be noted that these explanations are for the purpose of making the embodiments of this application easier to understand, and should not be regarded as limiting the scope of protection claimed by the embodiments of this application.

[0037] Cells within the same sector: This refers to multiple cells belonging to the same sector. A sector can use one or more radio carriers to achieve wireless coverage, with each carrier using a specific frequency. A sector and radio carriers together form the smallest unit of service providing access to terminal devices, i.e., a cell. In other words, multiple cells are defined within a single sector based on differences in radio carrier frequencies or scrambling codes.

[0038] In one example, such as Figure 1 As shown in the figure, multiple cells (cells A through D) are displayed. Cells A, B, and C belong to the same sector, while cell D belongs to a different sector. Therefore, cells A, B, and C are cells within the same sector.

[0039] With the continuous evolution of network standards, communication networks have evolved into a state of coordinated operation across 3G, 4G, and 5G. Due to the increasing complexity of network architecture and frequency band usage, efforts to improve coverage and expand capacity continue uninterrupted. At the same time, optimizing communication networks is becoming increasingly difficult.

[0040] Among these optimizations, parameter optimization of cells within the same sector is the most fundamental yet crucial step in communication network optimization. Improvements in user experience all require adjustments based on cells within and between systems that share the same sector. Therefore, to optimize the communication network, it is necessary to first determine whether multiple cells belong to the same sector. If the same sector cells cannot be accurately identified, the set parameters for these cells (such as handover parameters and equalization parameters) cannot guarantee optimal access for the terminal during mobility management, thus impacting the user experience. For example, combining... Figure 1 If cells A and D are identified as cells in the same sector, and the handover parameters for cells A and D are set accordingly, but since cells A and D are not in the same sector, when a terminal device hands over from cell A to cell D, it may cause a handover failure, affecting the normal use of the terminal device and giving users a bad experience.

[0041] Typically, to determine whether multiple cells belong to the same sector, three methods can be used: based on planning data, based on the number of times neighboring cells are measured, and on-site verification. However, these three methods have shortcomings in terms of accuracy, timeliness, or cost, which brings certain difficulties to the optimization of communication networks.

[0042] The three methods are explained below:

[0043] I. Based on planning data, identify communities within the same sector.

[0044] The planning data can refer to the initial data or expansion data during the construction of the base station. For example, it can include data on the sectors of the base station, such as the sector number and information about the cells included in the sector.

[0045] However, the planning data is manually entered, and the network structure becomes increasingly complex as communication networks evolve. Furthermore, the accuracy of manually entered data cannot be guaranteed; therefore, determining whether sectors belong to the same region based on planning data has low accuracy.

[0046] 2. Determine the cells in the same sector based on the number of times neighboring cells are measured.

[0047] The number of times neighboring cells are measured can refer to the number of times neighboring cells of the target cell are measured in multiple measurements of the target cell.

[0048] However, with changing user needs and the development of communication networks, some cells may have overlapping coverage areas due to optimization requirements or incorrect parameter settings. If we only determine whether a cell belongs to the same sector based on the number of measurements, cells with overlapping coverage areas cannot be ruled out, resulting in low accuracy in identifying cells within the same sector.

[0049] III. On-site inspection.

[0050] Among them, on-site inspection refers to staff going to the site to conduct tests to determine whether the community belongs to the same sector.

[0051] However, on-site inspections are extremely inefficient and consume a lot of manpower and resources. Furthermore, due to the varying environments of base stations, not all sites can be verified through on-site inspections.

[0052] In view of this, embodiments of this application provide a method for determining cells in the same sector, which determines whether the target cell and its neighboring cells are cells in the same sector based on the number of times the target cell's neighboring cells are measured during multiple measurements of the target cell and the multiple signal parameter values ​​of the target cell and its neighboring cells.

[0053] The methods provided in the embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0054] The technical solutions of this application embodiment can be applied to any communication system that supports communication. This communication system can be a 3GPP high-frequency wireless communication system, such as a 5G mobile communication system, a new radio (NR) system, a vehicle-to-everything (V2X) system, and other next-generation communication systems. It can also be a non-3GPP communication system; there is no limitation. The following examples illustrate this. Figure 1 Taking an example, the method for determining antenna parameters provided in the embodiments of this application will be described.

[0055] It should be noted that the communication system described in the embodiments of this application is for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and does not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of communication systems and the emergence of other communication systems, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0056] Figure 2 The diagram shown is a schematic representation of a communication system provided in an embodiment of this application. Figure 2 As shown, the communication system can include one or more network devices (e.g., network device 1 and network device 2) and terminal devices. Each network device can be configured with multiple sectors, and each sector can include one or more cells.

[0057] Figure 2 The network equipment in the system is mainly used to implement functions such as resource scheduling, wireless resource management, and wireless access control for terminal devices. Specifically, the network equipment can be any of the following: small base stations, wireless access points, transceiver points (TRPs), transmission points (TPs), and some other type of access node.

[0058] In one example, the network device may include multiple functional modules that can be used to execute the method for determining cells in the same sector provided in the embodiments of this application. For example, the multiple functional modules may include a data acquisition module, a data statistics module, a data analysis module, and a cell discrimination module.

[0059] The system includes several modules: a data acquisition module for collecting measurement data from the target cell; a data statistics module for analyzing the measured data from neighboring cells; a data analysis module for calculating the correlation coefficient between neighboring cells and the target cell; and a higher correlation coefficient indicating a stronger correlation. Finally, a cell discrimination module, based on a set threshold, determines whether the target cell and its neighboring cells belong to the same sector.

[0060] Terminal devices can be UEs, mobile stations (MS), or mobile terminals (MT), etc. Specifically, terminals can be mobile phones, tablets, or computers with wireless transceiver capabilities. They can also be virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, wireless terminals in autonomous driving, wireless terminals in telemedicine, wireless terminals in smart grids, wireless terminals in smart cities, smart homes, vehicle terminals, etc.

[0061] It should be noted that, Figure 2 This is just an example framework diagram. Figure 2 The number of network devices included, and the names of each device, are unlimited, except for... Figure 2 In addition to the functional nodes shown, other nodes may also be included.

[0062] The embodiments of this application do not limit the application scenarios of terminal devices and network devices. The system architecture and business scenarios described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0063] In practical implementation, Figure 2 All the equipment in the middle can be adopted Figure 3 The shown composition structure, or including Figure 3 The components shown. Figure 3 This is a schematic diagram illustrating the composition of a determining device 300 provided in an embodiment of this application. The determining device 300 can be a chip or system-on-a-chip in a network device. Alternatively, the determining device 300 can be a chip or system-on-a-chip in a terminal device. Or, the determining device 300 can be a chip or system-on-a-chip within a determining device. Figure 3 As shown, the determining device 300 includes a processor 301, a communication interface 302, and a communication line 303.

[0064] Furthermore, the determining device 300 may also include a memory 304. The processor 301, memory 304, and communication interface 302 can be connected via a communication line 303.

[0065] The processor 301 can be a CPU, a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 301 can also be other devices with processing capabilities, such as circuits, devices, or software modules, without limitation.

[0066] Communication interface 302 is used to communicate with other devices or other communication networks. These other communication networks can be Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc. Communication interface 302 can be a module, circuit, communication interface, or any device capable of enabling communication.

[0067] Communication line 303 is used to transmit information between the components included in determining device 300.

[0068] Memory 304 is used to store instructions. These instructions can be computer programs.

[0069] The memory 304 can be a read-only memory (ROM) or other type of static storage device that can store static information and / or instructions; it can also be a random access memory (RAM) or other type of dynamic storage device that can store information and / or instructions; it can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, etc., without limitation.

[0070] It should be noted that the memory 304 can exist independently of the processor 301 or can be integrated with the processor 301. The memory 304 can be used to store instructions, program code, or some data, etc. The memory 304 can be located inside or outside the determining device 300, without limitation. The processor 301 is used to execute the instructions stored in the memory 304 to implement the antenna parameter determination method provided in the following embodiments of this application.

[0071] In one example, processor 301 may include one or more CPUs, for example, Figure 3 CPU0 and CPU1 in the CPU.

[0072] As an optional implementation, the determining device 300 includes multiple processors, for example, besides Figure 3 In addition to processor 301, it may also include processor 307.

[0073] As an optional implementation, the determining device 300 also includes an output device 305 and an input device 306. For example, the input device 306 is a device such as a keyboard, mouse, microphone, or joystick, and the output device 305 is a device such as a display screen or speaker.

[0074] It should be noted that the determining device 300 can be a desktop computer, laptop computer, network server, mobile phone, tablet computer, wireless terminal, embedded device, chip system, or other device. Figure 3 Equipment with a similar structure. Furthermore... Figure 3 The composition shown does not constitute a basis for the interpretation of this invention. Figure 1 as well as Figure 2 The limitations of each device in the process, except Figure 3 In addition to the components shown, Figure 1 as well as Figure 2 The various devices may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0075] In this embodiment of the application, the chip system may be composed of chips or may include chips and other discrete devices.

[0076] Furthermore, the actions, terms, etc., involved in the various embodiments of this application can be referenced interchangeably without limitation. The message names or parameter names in the messages exchanged between the various devices in the embodiments of this application are merely examples, and other names may be used in specific implementations without limitation.

[0077] To facilitate a clear description of the technical solutions in the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and effect. For example, the first determination strategy and the second determination strategy are only used to distinguish different determination strategies and do not limit their order. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and the terms "first" and "second" are not necessarily different.

[0078] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0079] In this application, "at least one" means one or more, and "more than one" means two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0080] The following is combined with Figure 2 The communication system shown describes the determination method provided in the embodiments of this application. The actions, terminology, etc., involved in the various embodiments of this application can be referenced interchangeably without limitation. The message names or parameter names in the messages exchanged between devices in the embodiments of this application are merely examples; other names can be used in specific implementations without limitation. The actions involved in the various embodiments of this application are merely examples; other names can be used in specific implementations. For example, "included in" in the embodiments of this application can be replaced with "carried on" or "carried in," etc.

[0081] Figure 4 This application provides a method for determining cells in the same sector, such as... Figure 4 As shown, the method includes:

[0082] S401. Obtain multiple measurement data of the target cell.

[0083] Among them, network devices can be Figure 2The network device in the measurement data can be network device 1 or network device 2, or it can be a component within the network device, such as a chip or system-on-a-chip. The target cell is a cell of the network device. The measurement data can include the signal parameter values ​​of the target cell. Of course, the measurement data can also include the signal parameter values ​​of neighboring cells of the target cell. For example, the measurement data can be a measurement report (MR), and the signal parameter values ​​can be one or more of the following: reference signal receiving power (RSRP), reference signal received quality (RSRQ), and signal to interference plus noise ratio (SINR).

[0084] In one possible implementation, the network device can send a measurement control message to the terminal device. This measurement control message can instruct the terminal device to perform periodic measurements on the target cell. For example, the measurement control message may include the identifier of the target cell, the signal parameters to be measured, the measurement period, etc. Thus, the terminal device can perform periodic measurements on the target cell according to the measurement control message, obtain multiple measurement data points for the target cell, and send them to the network device.

[0085] In one example, the measurement control message may also include a list of neighboring cells of the target cell. This list may include one or more neighboring cells of the target cell. Based on this list, the terminal device can perform measurements on the neighboring cells included in the list.

[0086] In another example, the measurement control message may not include the target cell's neighbor cell list. In this way, the terminal device can simultaneously measure other detectable cells while measuring the target cell, obtaining measurement data from one or more neighbor cells of the target cell.

[0087] S402. Determine the number of times the first cell was measured in the multiple measurement data and the signal parameter values ​​of the first cell.

[0088] In this context, the first cell refers to a neighboring cell of the target cell. The number of times the first cell is measured can refer to the number of measurement data points that include the signal parameter value of the first cell among multiple measurement data points. For example, if five of the multiple measurement data points include the signal parameter value of the first cell, then the first cell is measured five times. The signal parameter value of the first cell can be any signal parameter value of the first cell included in the measurement data points.

[0089] In one example, the network device can count the number of measurement data points that include the first cell from the multiple measurement data sets, thus obtaining the number of times the first cell was measured, and count the signal parameter values ​​of the first cell in the measurement data that include the first cell, thus obtaining one or more signal parameter values ​​of the first cell. The number of signal parameter values ​​of the first cell is the same as the number of times the first cell was measured.

[0090] S403. If the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than the first threshold, and the correlation coefficient between the first cell and the target cell is greater than the second threshold, then the first cell and the target cell are determined to be cells in the same sector.

[0091] The number of measurements of the target cell can be the number of measurement data points for the target cell. The correlation coefficient between the first cell and the target cell can be determined based on the signal parameter values ​​of the target cell and the first cell. For details, please refer to the description in the following embodiments, which will not be repeated here.

[0092] The first and second thresholds can be set as needed or determined by a model, without restriction. The first and second thresholds can be the same or different; for example, both can be 0.8, or other values. The method for determining the first and second thresholds based on the model is as follows: for example, the first and second thresholds can be obtained based on a model with preset coefficients. This preset coefficient model is obtained by training a preset algorithm on the number of measurements and correlation coefficients of multiple cells in the same sector. The preset algorithm can be a neural network algorithm, etc., without restriction.

[0093] Furthermore, if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than or equal to the first threshold, or the correlation coefficient between the first cell and the target cell is less than or equal to the second threshold, then the first cell and the target cell are determined to be cells with the same coverage but different sectors.

[0094] Based on the technical solution provided in this application, when a network device measures a target cell, it can measure both the target cell and its neighboring cells. Based on this, the network device can obtain multiple signal quality parameters of the target cell and the signal quality parameters of its neighboring cells. The network device can determine whether the target cell and its neighboring cells belong to the same sector based on the ratio of the number of times the target cell is measured to the number of times its neighboring cells are measured, as well as the signal parameter values ​​of the target cell and its neighboring cells. Since the more times neighboring cells are measured when measuring the target cell, the greater the probability that the two cells belong to the same sector, and by combining the correlation between the target cell and its neighboring cells, the determination of whether the target cell and its neighboring cells belong to the same sector can be made more accurate. Compared to on-site surveying, this method improves efficiency and reduces labor costs.

[0095] In some embodiments, such as Figure 5 As shown, the network device can determine the correlation coefficient between the target cell and the first cell based on the signal parameter values ​​of the target cell and the first cell. Specifically, this can include S501 and S502.

[0096] S501. Determine at least one first measurement data point that includes the first cell among a plurality of measurement data points.

[0097] The first measurement data includes the first cell and the signal parameter values ​​of the first cell.

[0098] In one example, after acquiring multiple measurement data of a target cell, the network device can count the cells included in the multiple measurement data and the signal parameter values ​​of the cells, and obtain the number of times the target cell's neighboring cells were measured and their signal parameter values.

[0099] For example, taking the target cell as Figure 1 Taking cell B as an example, the number of measurement data for cell B is 5 (measurement data 1 to measurement data 5). The cells included in measurement data 1 to measurement data 5, as well as the signal parameter values ​​of the cells, are shown in Table 1.

[0100] Table 1

[0101]

[0102] It should be noted that the above measurement data is only illustrative; of course, more measurement data and cell types may be included. In Table 1, cell A and cell D are neighboring cells of the target cell.

[0103] S502. Calculate the correlation coefficient between the first cell and the target cell based on the signal parameter values ​​of the target cell and the signal parameter values ​​of the first cell in at least one first measurement data.

[0104] In one example, the network device can calculate the correlation coefficient between a first cell and a target cell according to a preset formula. This preset formula can be pre-configured by the network device.

[0105] For example, the preset formula can be:

[0106]

[0107] Where r(X,Y) represents the correlation coefficient between the target cell and the first cell, X represents the signal parameter value of the target cell, Y represents the signal parameter value of the first cell, Cov(X,Y) represents the covariance between the signal parameter values ​​of the at least one target cell and the signal parameter values ​​of the first cell, Var[X] represents the variance of the signal parameter values ​​of the target cell in at least one first measurement data, and Var[Y] represents the variance of the signal parameter values ​​of the first cell in one first measurement data.

[0108] Based on the values ​​in Table 1, the correlation coefficient between the target cell and the first cell is calculated below.

[0109] Based on the signal parameter values ​​of cell A and cell B in measurement data 1 to measurement data 5 in Table 1, and in conjunction with the above-mentioned preset formula, the calculation process of the correlation coefficient between cell A and cell B is as follows:

[0110] 1. The signal parameter values ​​for cell A are: -95dBm, -96dBm, -97dBm, -95dBm, -97dBm. The average value of these signal parameter values ​​is 96, and the variance is [(-95+96)]. 2 +(-96+96) 2 +(-97+96) 2 +(-95+96) 2 +(-97+96) 2 +] / 5 = 0.8.

[0111] 2. The signal parameter values ​​for cell B are: -92dBm, -92dBm, -95dBm, -93dBm, and -96dBm. The average value of these signal parameter values ​​is 93.6, and the variance is [(-92 + 93.6)]. 2 +(-92+93.6) 2 +(-95+93.6) 2 +(-93+93.6) 2 +(-96+93.6) 2 +] / 5 = 2.64.

[0112] 3. The covariance between the signal parameter values ​​of cell A and cell B is 1.2.

[0113] 4. Based on the above preset formula, the relationship between cell A and cell B...

[0114] Similarly, the correlation coefficient between cell D (signal parameters -100dBm, -110dBm) and cell B (signal parameters -95dBm, -96dBm) is 1.

[0115] Furthermore, combining with S403 above, if both the first threshold and the second threshold are 0.8, since the ratio of the number of measurements in cell A to the number of measurements in cell B is 1, which is greater than 0.8, the correlation coefficient between cell A and cell B is 0.826, which is greater than 0.8. Therefore, cell A and cell B are cells in the same sector. The ratio of the number of measurements in cell D to the number of measurements in cell B is 0.4, which is less than 0.8. Therefore, cell D and cell B are cells with the same coverage but different sectors.

[0116] based on Figure 5 In the technical solution described in this application embodiment, since the signal strength values ​​of the target cell and neighboring cells measured by the same measurement data can reflect the correlation between the two cells, the network device can accurately determine the correlation coefficient between the target cell and the neighboring cells of the target cell based on multiple measurement data that include both the target cell and its neighboring cells.

[0117] In some embodiments, when the first threshold and the second threshold are determined according to the model, if the first cell and the target cell are determined to be cells in the same sector, the sectors where the target cell and the first cell are located can also be verified, for example, by means of planning data or manual surveying.

[0118] Furthermore, if the target cell and the first cell pass the verification, the model can be iteratively trained to improve its accuracy.

[0119] The various solutions in the above embodiments of this application can be combined without contradiction.

[0120] This application embodiment can divide the device for determining cells in the same sector into functional modules or functional units according to the above method example. For example, each function can be divided into a separate functional module or functional unit, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or in software functional modules or functional units. The module or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0121] When dividing each function into modules according to its corresponding function. Figure 6 A schematic diagram of a communication device 60 is shown. The communication device 60 can be a network device or a chip applied in a network device. The communication device 60 can be used to perform the functions of the network device involved in the above embodiments. Figure 6 The communication device 60 shown may include an acquisition unit 601 and a determination unit 602.

[0122] The acquisition unit 601 is used to acquire multiple measurement data of the target cell, including signal parameter values ​​of the target cell.

[0123] The determining unit 602 is used to determine the number of times the first cell is measured in multiple measurement data and the signal parameter value of the first cell, wherein the first cell is a neighboring cell of the target cell.

[0124] The determining unit 602 is further configured to determine that the first cell and the target cell are cells in the same sector if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than a first threshold and the correlation coefficient between the first cell and the target cell is greater than a second threshold. The correlation coefficient between the first cell and the target cell is determined based on the signal strength value of the first cell and the signal strength value of the target cell.

[0125] In one possible implementation, the determining unit 602 is further configured to determine at least one first measurement data including the first cell among a plurality of measurement data; and to calculate the correlation coefficient between the first cell and the target cell based on the signal parameter value of the target cell in the at least one first measurement data and the signal parameter value of the first cell.

[0126] In one possible implementation, the correlation coefficient between the first cell and the target cell satisfies a preset formula, which is: Where r(X,Y) represents the correlation coefficient between the target cell and the first cell, X represents the signal parameter value of the target cell, Y represents the signal parameter value of the first cell, Cov(X,Y) represents the covariance between the signal parameter values ​​of the target cell and the first cell, Var[X] represents the variance of the signal parameter values ​​of the target cell in at least one first measurement data, and Var[Y] represents the variance of the signal parameter values ​​of the first cell in at least one first measurement data.

[0127] In one possible implementation, the determining unit 602 is further configured to determine that the first cell and the target cell are cells with the same coverage but different sectors if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is less than or equal to a first threshold, or the correlation coefficient between the first cell and the target cell is less than or equal to a second threshold.

[0128] In one possible implementation, the acquisition unit 601 is specifically used to: send a periodic measurement message to the terminal device, the periodic measurement message being used to instruct the terminal device to perform periodic measurements on the target cell; and receive a measurement report MR from the terminal device, the MR including multiple measurement data.

[0129] In one possible design, Figure 6 The communication device shown may also include a storage unit 603. The storage unit 603 is used to store program code and instructions.

[0130] As another feasible approach Figure 6 The determining unit 602 in the middle can be replaced by a processor, which can integrate the functions of the determining unit 602. Figure 6 The acquisition unit 601 can be replaced by a transceiver or transceiver unit, which can integrate the functions of the acquisition unit 601.

[0131] Furthermore, when the determining unit 602 is replaced by a processor, and the acquiring unit 601 is replaced by a transceiver or transceiver unit, the communication device 60 involved in the embodiments of this application can be... Figure 3 The communication device shown.

[0132] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be implemented by a computer program instructing related hardware. This program can be stored in the computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be an internal storage unit of the communication device (including a data transmitter and / or a data receiver) of any of the foregoing embodiments, such as the hard disk or memory of the communication device. The computer-readable storage medium can also be an external storage device of the terminal device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device. Further, the computer-readable storage medium can include both the internal storage unit of the communication device and an external storage device. The computer-readable storage medium is used to store the computer program and other programs and data required by the communication device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0133] It should be noted that the terms "first" and "second," etc., in the specification, claims, and drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0134] It should be understood that in this application, "at least one (item)" means one or more, "more than one" means two or more, "at least two (items)" means two or three or more, and "and / or" is used to describe the relationship between related objects, indicating that there can be three relationships. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the related objects before and after are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0135] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0136] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0137] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0138] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0139] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0140] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for determining cells within the same sector, characterized in that, The method includes: Acquire multiple measurement data of the target cell, the measurement data including signal parameter values ​​of the target cell; The number of times the first cell was measured and the signal parameter value of the first cell were determined from the multiple measurement data, wherein the first cell is a neighboring cell of the target cell; Based on the signal parameter values ​​of the target cell in at least one first measurement data point and the signal parameter values ​​of the first cell, a correlation coefficient between the first cell and the target cell is calculated; the correlation coefficient between the first cell and the target cell satisfies a preset formula, the preset formula being: Where r(X,Y) represents the correlation coefficient between the target cell and the first cell, X represents the signal parameter value of the target cell, Y represents the signal parameter value of the first cell, Cov(X,Y) represents the covariance between the signal parameter values ​​of the target cell and the first cell, Var[X] represents the variance of the signal parameter values ​​of the target cell in the at least one first measurement data, and Var[Y] represents the variance of the signal parameter values ​​of the first cell in the at least one first measurement data; If the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than a first threshold, and the correlation coefficient between the first cell and the target cell is greater than a second threshold, then the first cell and the target cell are determined to be cells in the same sector. The correlation coefficient between the first cell and the target cell is determined based on the signal strength values ​​of the first cell and the target cell.

2. The method according to claim 1, characterized in that, The method further includes: The cells and their signal parameter values ​​included in the plurality of measurement data are statistically analyzed to determine at least one first measurement data point that includes the first cell.

3. The method according to claim 1 or 2, characterized in that, The method further includes: If the ratio between the number of times the first cell is measured and the number of times the target cell is measured is less than or equal to a first threshold, or the correlation coefficient between the first cell and the target cell is less than or equal to a second threshold, then the first cell and the target cell are determined to be cells with the same coverage but different sectors.

4. The method according to claim 1, characterized in that, The acquisition of multiple measurement data of the target cell includes: A periodic measurement message is sent to the terminal device, the periodic measurement message being used to instruct the terminal device to perform periodic measurements on the target cell; Receive a measurement report MR from the terminal device, the MR including the plurality of measurement data.

5. A device for determining cells within the same sector, characterized in that, The determining device includes: An acquisition unit is used to acquire multiple measurement data of a target cell, the measurement data including signal parameter values ​​of the target cell; The determining unit is used to determine the number of times the first cell is measured in the plurality of measurement data and the signal parameter value of the first cell, wherein the first cell is a neighboring cell of the target cell; The determining unit is further configured to calculate a correlation coefficient between the first cell and the target cell based on the signal parameter values ​​of the target cell in at least one first measurement data and the signal parameter values ​​of the first cell; The correlation coefficient between the first cell and the target cell satisfies a preset formula, which is: Where r(X,Y) represents the correlation coefficient between the target cell and the first cell, X represents the signal parameter value of the target cell, Y represents the signal parameter value of the first cell, Cov(X,Y) represents the covariance between the signal parameter values ​​of the target cell and the first cell, Var[X] represents the variance of the signal parameter values ​​of the target cell in the at least one first measurement data, and Var[Y] represents the variance of the signal parameter values ​​of the first cell in the at least one first measurement data; The determining unit is further configured to determine that the first cell and the target cell are cells in the same sector if the ratio between the number of times the first cell is measured and the number of times the target cell is measured is greater than a first threshold and the correlation coefficient between the first cell and the target cell is greater than a second threshold. The correlation coefficient between the first cell and the target cell is determined based on the signal strength value of the first cell and the signal strength value of the target cell.

6. The apparatus according to claim 5, characterized in that, The determining unit is further configured to: The cells and their signal parameter values ​​included in the plurality of measurement data are statistically analyzed to determine at least one first measurement data point that includes the first cell.

7. The apparatus according to claim 5 or 6, characterized in that, The determining unit is further configured to: If the ratio between the number of times the first cell is measured and the number of times the target cell is measured is less than or equal to a first threshold, or the correlation coefficient between the first cell and the target cell is less than or equal to a second threshold, then the first cell and the target cell are determined to be cells with the same coverage but different sectors.

8. The apparatus according to claim 5, characterized in that, The acquisition unit is specifically used for: A periodic measurement message is sent to the terminal device, the periodic measurement message being used to instruct the terminal device to perform periodic measurements on the target cell; Receive a measurement report MR from the terminal device, the MR including the plurality of measurement data.

9. A computer-readable storage medium, characterized in that, The readable storage medium stores instructions that, when executed, implement the method as described in any one of claims 1-4.

10. A communication device, characterized in that, include: The processor, memory, and communication interface; wherein the communication interface is used for communication between the communication device and other devices or networks; The memory is used to store one or more programs, the one or more programs including computer-executable instructions, and when the communication device is running, the processor executes the computer-executable instructions stored in the memory to cause the communication device to perform the method according to any one of claims 1-4.

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