Community Residency Methods and Devices

Abstract

This application provides a cell retention method and apparatus. The method includes: performing cell search on a target frequency point to obtain a first cell set and related information of the first cell; filtering out false cells from the first cell set using a first filtering strategy based on the first cell information to obtain a second cell set; performing cell measurement on the cells in the second cell set to obtain related information of the second cell; filtering out false cells from the second cell set using a second filtering strategy based on the second cell information to obtain a third cell set; and selecting cells to be retained from the third cell set. This application embodiment filters out false cells by combining the cell search phase and the cell measurement phase, and formulates different filtering strategies according to the respective situations of the cell search phase and the cell measurement phase. This improves the probability of detecting true cells while reducing the probability of false cell detection, thus helping to reduce the cell retention time.

Description

Technical Field

[0001] This application relates to the field of communication technology, and more specifically, to a cell dwelling method and apparatus. Background Technology

[0002] The relevant technology obtains a cell list through cell search and cell measurement, from which terminal devices can select a target cell to camp on. However, this list may include fake cells that the terminal device cannot access. If the target cell selected by the terminal device is a fake cell, it will increase the cell camping time of the terminal device, which is detrimental to the user experience. Summary of the Invention

[0003] This application provides a method and apparatus for cell dwelling. The various aspects involved in the embodiments of this application are described below.

[0004] In a first aspect, a cell retention method is provided, comprising: performing cell search on a target frequency point to obtain a first cell set and first cell-related information; using the first cell-related information, employing a first filtering strategy to filter out false cells from the first cell set to obtain a second cell set; performing cell measurement on the cells in the second cell set to obtain second cell-related information; using the second cell-related information, employing a second filtering strategy to filter out false cells from the second cell set to obtain a third cell set; and selecting cells to retain from the third cell set.

[0005] Secondly, a cell camping device is provided, comprising: a search unit for searching for cells at a target frequency to obtain a first cell set and first cell-related information; a first filtering unit for filtering out false cells from the first cell set based on the first cell-related information and employing a first filtering strategy to obtain a second cell set; a measurement unit for performing cell measurements on cells in the second cell set to obtain second cell-related information; a second filtering unit for filtering out false cells from the second cell set based on the second cell-related information and employing a second filtering strategy to obtain a third cell set; and a selection unit for selecting camping cells from the third cell set.

[0006] Thirdly, a cell-based device is provided, comprising: a memory and a processor, the processor being configured to invoke a program from the memory to execute the method as described in the first aspect.

[0007] This application embodiment filters out false cells by combining the cell search phase and the cell measurement phase. At the same time, different filtering strategies are formulated according to the situation of the cell search phase and the cell measurement phase, which improves the probability of detecting true cells and reduces the probability of false cell detection, thus helping to reduce the cell dwell time. Attached Figure Description

[0008] Figure 1 This is a schematic diagram of a communication scenario according to an embodiment of this application.

[0009] Figure 2 This application provides a method for cell dwelling in an embodiment.

[0010] Figure 3 A flowchart illustrating a method for obtaining a second cell set, provided in an embodiment of this application.

[0011] Figure 4 This is a schematic diagram of a possible cell array table provided in an embodiment of this application.

[0012] Figure 5 A flowchart illustrating a method for obtaining a third cell set, provided in an embodiment of this application.

[0013] Figure 6 This is a schematic diagram of a community dwelling device provided in an embodiment of this application.

[0014] Figure 7 This is a schematic diagram of another cell dwelling device provided in an embodiment of this application. Detailed Implementation

[0015] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0016] The technical solutions of this application can be applied to various communication systems, such as: Global System for Mobile Communication (GSM), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), General Packet Radio Service (GPRS), Long Term Evolution (LTE), LTE Frequency Division Duplex (FDD), LTE Time Division Duplex (TDD), Universal Mobile Telecommunication System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX), 5th Generation (5G), or New Radio (NR), etc. The technical solutions provided in this application can also be applied to future communication systems, such as 6th Generation mobile communication systems, satellite communication systems, and so on.

[0017] The terminal device in this application embodiment can also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device. The terminal device in this application embodiment can be a device that provides voice and / or data connectivity to a user, and can be used to connect people, objects, and machines, such as a handheld device with wireless connectivity, vehicle-mounted device, etc. The terminal devices in the embodiments of this application can be mobile phones, tablets, laptops, PDAs, mobile internet devices (MIDs), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, self-driving, remote medical surgery, smart grids, transportation safety, smart cities, and smart homes, etc. Optionally, the UE can act as a base station. For example, the UE can act as a scheduling entity, providing sidelink signals between UEs in V2X or D2D, etc. For example, cellular phones and cars communicate with each other using sidelink signals. Cellular phones and smart home devices communicate without relaying communication signals through a base station.

[0018] The network device in this application embodiment can be a device used to communicate with a terminal device. This network device can also be called an access network device or a wireless access network device, such as a base station. In this application embodiment, the network device can refer to a radio access network (RAN) node (or device) that connects the terminal device to the wireless network. A base station can broadly encompass, or be replaced by, various names including: NodeB, evolved NodeB (eNB), next-generation NodeB (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), master MeNB, auxiliary SeNB, multi-mode radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station can be a macro base station, micro base station, relay node, donor node, or similar, or a combination thereof. A base station can also refer to a communication module, modem, or chip installed within the aforementioned equipment or apparatus. Base stations can also be mobile switching centers, devices that perform base station functions in device-to-device (D2D), vehicle-to-everything (V2X), and machine-to-machine (M2M) communications, network-side devices in 6G networks, and devices that perform base station functions in future communication systems. Base stations can support networks using the same or different access technologies. The embodiments of this application do not limit the specific technologies or device forms used in the network equipment.

[0019] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move depending on the location of the mobile base station. In other examples, a helicopter or drone can be configured as a device to communicate with another base station.

[0020] In some deployments, the network device in this application embodiment may refer to a CU or a DU, or the network device may include both a CU and a DU. The gNB may also include an AAU.

[0021] Network devices and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; and they can also be deployed in the air on airplanes, balloons, and satellites. This application does not limit the scenario in which the network devices and terminal devices are located.

[0022] Figure 1 This is a schematic diagram of a communication scenario according to an embodiment of this application. For example... Figure 1 As shown, this application scenario includes terminal device 120 and network device 110. Network device 110 can be an access network device, such as a base station. Each network device 110 includes one or more cells.

[0023] In some scenarios, terminal device 120 needs to perform cell selection or cell reselection. For example, when terminal device 120 is powered on, it needs to perform cell selection. Also, when terminal device 120 experiences poor communication quality, it needs to perform cell reselection.

[0024] When performing cell selection or cell reselection, cell search and cell measurement are typically performed based on a selected frequency point to obtain all cells under that frequency point. Terminal device 120 can then select a cell to camp on based on the obtained cell list. The selected frequency point can, for example, be a frequency point supported by terminal device 120.

[0025] To facilitate understanding of the embodiments of this application, a brief introduction to cell search and cell measurement will be given below.

[0026] As one implementation, terminal device 120 can perform cell search based on synchronization signals. For example, terminal device 120 can perform correlation peak energy detection of synchronization signals at a specified frequency point and find available cells. The synchronization signal can be periodically transmitted by network device 110. In some embodiments, the synchronization signal may include a primary synchronization signal (PSS) and a secondary synchronization signal (SSS), with SSS also referred to as a secondary synchronization signal.

[0027] In some embodiments, time-frequency offset synchronization can also be performed based on the PSS and SSS signals. For example, PSS detection (also known as Phase 1 cell search) can generate coarse timing and frequency offset correction, and also estimate the frequency offset (FO). The SSS may include frame timing information for frame synchronization. In other embodiments, the PSS and SSS may also carry parameters specific to a particular cell. Specifically, the PSS may carry the ID within the cell group, while the SSS may carry the cell group number.

[0028] After completing the cell search, terminal device 120 obtains a cell list, which it can then measure. One implementation method is to measure parameters related to cell signal quality, such as the reference signal receiving power (RSRP) and signal-to-interference plus noise ratio (SINR). Furthermore, terminal device 120 can sort the cells in the cell list based on the measurement results and then report the results.

[0029] Through cell search and measurement, terminal device 120 can typically obtain multiple available cells. However, in some cases, the cell list may contain fake cells. Fake cells refer to cells where camping or access is highly unlikely to succeed. One possibility is that the fake cells in the cell list are not actually existing cells identified by the network device; rather, they are mistakenly identified as real cells due to the low signal-to-noise ratio of the searched signal. Another possibility is that due to design flaws in the PSS and SSS local sequences, some non-existent cells may be obtained when performing cell searches using PSS and SSS. Yet another possibility is that the cell is indeed existing, but due to significantly poor signal quality or other reasons, camping and access are highly unlikely.

[0030] For all cells in the list, it is generally desirable that genuine cells are present in the list and can be accessed, while removing potentially fake cells as much as possible. Therefore, related technologies have proposed two schemes for cell list detection and maintenance.

[0031] In Scheme 1, during cell search, only the strongest cell is selected each time, and that cell is then measured. In this case, only one cell can be obtained per scheduling cycle, which easily leads to missed detections of real cells. Furthermore, obtaining a list of available cells requires multiple scheduling operations from the terminal device, increasing scheduling power consumption.

[0032] In Scheme 2, a group of multiple cells is reported during cell search, and the group of cells is measured to obtain a final cell list. In this case, the cell list is very likely to contain fake cells.

[0033] To address the aforementioned issues, this application provides a cell dwell method that filters out false cells by combining the cell search phase and the cell measurement phase. Furthermore, different filtering strategies are formulated based on the specific circumstances of each phase, thereby increasing the probability of detecting true cells while reducing the probability of false cell detection, which helps to shorten the cell dwell time.

[0034] The following text combines Figure 2 The cell dwelling method provided in the embodiments of this application will be described in detail.

[0035] See Figure 2 The community residency method includes steps S210 to S250.

[0036] In step S210, a cell search is performed on the target frequency to obtain the first cell set and related information of the first cell.

[0037] The target frequency can be any frequency supported by the terminal device. For example, when selecting a cell, the target frequency can be any one of all frequencies supported by the terminal device. Similarly, when reselecting a cell, depending on the configuration information, the target frequency can be the frequency currently used by the terminal device, or it can be a frequency different from the terminal device's current operating frequency.

[0038] In some embodiments, cell search can be performed based on the synchronization signal described above to obtain multiple available cells. The first cell set can be a set including these multiple available cells. For example, the received signal can be synchronized and decoded using a local sequence to perform cell search. If the target cell is successfully synchronized and decoded, the target cell is added to the first cell set.

[0039] Cell search can also retrieve relevant information about cells in the first cell set, which can be referred to as first cell-related information. In some embodiments, first cell-related information can be information that reflects the characteristics of cells in the first cell set. For example, first cell-related information may include information that reflects the signal quality of cells in the first cell set. Alternatively, first cell-related information may include information that distinguishes between real and fake cells.

[0040] As one implementation, the information related to the first cell may include one or more of the following: frequency offset of cells in the first cell set, time offset (TO) between cells in the first cell set, effective value of signal-to-interference-plus-noise ratio (SNR) of cells in the first cell set, and probability of a target cell appearing in the first cell set. The effective value of the SNR of cells in the first cell set may refer to the effective value of the SNR obtained based on the synchronization signal. The probability of a target cell appearing in the first cell set may, for example, refer to the number of times the target cell appears in the first cell set, X, in M ​​scheduling operations. This information will be described in detail later with reference to specific embodiments, and will not be repeated here.

[0041] In step S220, based on the information of the first cell, a first filtering strategy is adopted to filter out false cells from the first cell set to obtain the second cell set.

[0042] There are various ways to filter out fake cells from the first cell set. For example, based on information about the first cell, some corresponding filtering strategies can be adopted, which can be referred to as the first filtering strategy. In some embodiments, the first filtering strategy can be determined in conjunction with the usage scenario of the terminal device. In other embodiments, the first filtering strategy can be determined by combining experimental data and / or simulation data.

[0043] In some embodiments, the first filtering strategy may include a filtering strategy based on one or more thresholds. For example, filtering out cells from the first cell set whose first cell-related parameters are less than or greater than a certain threshold. Alternatively, filtering out cells from the first cell set whose first cell-related parameters are between or outside two thresholds. One or more thresholds may be determined based on one or more of the following factors: the usage scenario of the terminal device, experimental data, and simulation data, etc.

[0044] By using the first filtering strategy, some fake cells in the first cell set can be filtered out while retaining as many real cells as possible, thus obtaining the second cell set.

[0045] In step S230, cell measurements are performed on the cells in the second cell set to obtain relevant information about the second cells.

[0046] Cell measurements can obtain relevant information about cells in a second cell set; this information can be referred to as second cell-related information. In some embodiments, second cell-related information can be information that reflects the characteristics of cells in the second cell set. For example, second cell-related information may include information reflecting the signal quality of cells in the second cell set. Alternatively, second cell-related information may include information that distinguishes between real and fake cells.

[0047] In some implementations, the information related to the second cell may include one or more of the following: the reference signal received power of the cells in the second cell set, the time offset between the cells in the second cell set, and the estimated signal-to-interference-plus-noise ratio of the cells in the second cell set.

[0048] In step S240, based on the information related to the second cell, a second filtering strategy is adopted to filter out false cells from the second cell set to obtain a third cell set.

[0049] There are various ways to filter out fake cells from the second cell set. For example, some corresponding filtering strategies can be adopted based on information related to the second cell. In some embodiments, the second filtering strategy can be determined in conjunction with the usage scenario of the terminal device. In other embodiments, the second filtering strategy can be determined by combining experimental data and / or simulation data.

[0050] The second filtering strategy may include a filtering strategy based on one or more thresholds. The one or more thresholds may be determined based on the use case, experimental data, and / or simulation data.

[0051] By using the second filtering strategy, we can filter out as many fake cells as possible from the second cell set while retaining as many real cells as possible, thus obtaining the third cell set.

[0052] In step S250, a cell to be hosted is selected from the third cell set.

[0053] By combining the cell search and cell measurement phases to filter out false cells, and by developing different filtering strategies for each phase, the probability of detecting true cells can be increased while the probability of false cell detection can be reduced. In other words, this method helps reduce the probability of false cells in the third cell set; therefore, selecting cells to remain in the third cell set helps reduce cell dwell time.

[0054] As mentioned earlier, false cells can be filtered out from the second cell set by setting a threshold to obtain the third cell set. For example, the information related to the second cell includes the estimated signal-to-interference-plus-noise ratio (SNR) of the cells in the second cell set. If the estimated SNR of a target cell in the second cell set is greater than or equal to the first threshold, the target cell can be added to the third cell set.

[0055] However, due to various factors, the estimated signal-to-interference-plus-noise ratio (SNR) of cells in the second cell set fluctuates significantly. Filtering out false cells in the second cell set using the first threshold may mistakenly filter out true cells. In other words, if the estimated SNR of a target cell in the second cell set is less than the first threshold, the target cell is not necessarily a false cell.

[0056] Therefore, to address this situation, for information related to the second cell that exhibits significant fluctuations, multiple sets of information related to that second cell can be used as the basis for a filtering strategy. For example, the combined result of multiple sets of information related to that second cell can be used as the basis for a filtering strategy. As an example, the combined result can be the average of multiple sets of information related to that second cell, or it can be the sum of multiple sets of information related to that second cell.

[0057] Continuing with the example of the estimated signal-to-interference-plus-noise ratio (SNR) of cells in the second cell set mentioned earlier, if the estimated SNR of the target cell in the second cell set is less than the first threshold but greater than or equal to the second threshold, then the current estimated SNR of the target cell is merged with its historical estimated values. Based on the merging result, false cells are filtered out from the second cell set to obtain the third cell set.

[0058] In practical applications, when the number of merges is small, the difference between the current merged result and the previous merged result of the signal-to-interference-plus-noise ratio (SNR) of cells in the second cell set may be large; conversely, when the number of merges exceeds a certain value, the difference between the current merged result and the previous merged result of the SNR of cells in the second cell set may be small. Based on this, different thresholds can be set according to the number of merges to filter out false cells.

[0059] For example, if the number of times the current estimate of the signal-to-interference-plus-noise ratio (SNR) of the target cell in the second cell set is combined with the historical estimate is less than N, and the estimated SNR of the target cell is greater than or equal to the third threshold, then the target cell can be added to the third cell set.

[0060] For example, if the number of times the current estimate of the signal-to-interference-plus-noise ratio (SNR) of the target cell in the second cell set is combined with the historical estimate is greater than or equal to N, and the estimated SNR of the target cell is greater than or equal to the fourth threshold, then the target cell can be added to the third cell set.

[0061] In some embodiments, the information related to the second cell may include the reference signal received power (RSRP) of the cells in the second cell set. For a synchronization network, if the RSRP of a target cell in the second cell set differs from that of the cell with the highest RSRP in the second cell set by more than a certain threshold, the target cell is considered a false cell and does not belong to the third cell set.

[0062] In some embodiments, the information related to the second cell may include the time offset between cells in the second cell set. For a synchronization network, if the time offset between two target cells in the second cell set is greater than a certain threshold, the cell with the weaker correlation value among the two target cells is considered a false cell, and the cell with the stronger correlation value among the target cells can be added to the third cell set. The correlation value may, for example, refer to the correlation value obtained based on the synchronization signal.

[0063] Practical experience shows that cells that are found multiple times during the cell search phase are likely to be real cells. In other words, cells with a high probability of appearing in the first cell set are more likely to be real cells. Therefore, if a target cell in the first cell set has a probability of appearing in the first cell set greater than or equal to the fifth threshold, that target cell can be added to the second cell set.

[0064] As one implementation, if the number of scheduling operations is M within a certain period, and each scheduling operation corresponds to a first cell set, and the target cell appears more than or equal to X times in the M first cell sets, then the target cell can be considered a real cell, and the target cell is added to the second cell set. In some embodiments, the M first cell sets can be maintained through physical layer control. For example, the M first cell sets can be maintained in the form of an array.

[0065] Combination Figures 3 to 4 The following describes the process of filtering out false cells from the first cell set and obtaining the second cell set by adopting the first filtering strategy based on the probability of the target cell appearing in the first cell set.

[0066] See Figure 3 Flowchart 300 includes steps S310 to S330.

[0067] In step S310, the scheduling results of the cell search are stored in the cell array table.

[0068] The scheduling results of cell searches can include a first set of cells. Each scheduling operation can update the cell array table. For example, the first set of cells corresponding to each cell search can be stored in the cell array table. See also Figure 4 Taking M scheduling operations as an example, as one implementation, the cell array table can be an n*m array table, where each column contains all the cells in the first cell set corresponding to one scheduling operation. Where N1 to N... m Let n be the number of scheduling attempts, where 0 to n represent the number of cells in the first set of cells in each scheduling attempt. Figure 4 In the array element A, the target cell can be represented.

[0069] In step S320, it is determined whether the number of times the target cell appears in the cell array table is greater than or equal to X times.

[0070] X can be used to represent the probability that the target cell appears in the first cell set in M ​​scheduling operations, that is, to indicate the likelihood of the target cell appearing.

[0071] If the target cell appears in the cell array table more than or equal to X times, then proceed to step S330.

[0072] In step S330, the target cell is added to the second cell set.

[0073] In the above method, M and X can be determined based on actual test results. Alternatively, as another implementation, the probability of the target cell appearing in multiple scheduling processes can be used as the basis for filtering out false cells. For example, a probability of the target cell appearing in multiple scheduling processes of 80% can be used as the basis for filtering out false cells. That is, if the probability of the target cell appearing in multiple scheduling processes is greater than or equal to 80%, the target cell can be added to the second cell set.

[0074] It should be noted that since the channel is variable, the scheduling results after a certain period of time are not accurate as a basis for filtering out false cells. Therefore, the above filtering strategy based on the probability of the target cell appearing in the first cell set can only be used in specific scenarios, such as scheduling scenarios with multiple short searches.

[0075] In some embodiments, the information related to the first cell may include the frequency offset of cells in the first cell set. If the frequency offset of a target cell in the first cell set is less than or equal to a certain threshold, the target cell can be added to the second cell set.

[0076] In some embodiments, the information related to the first cell may include the time offset between cells in the first cell set. In a synchronous network, such as a time division duplex (TDD) disconnected scenario, if the time offset between two target cells in the first cell set is greater than a certain threshold, the cell with the weaker correlation value among the two target cells is considered a false cell, and the cell with the stronger correlation value among the target cells can be added to the second cell set.

[0077] It should be noted that the accuracy and relevant thresholds of the time offset that can be obtained based on the cell search phase and the cell measurement phase may be different. In this embodiment of the application, false cell filtering based on time offset is performed in the cell search phase and the cell measurement phase respectively, which can reduce the probability of false cells in the third cell set.

[0078] In some embodiments, the information related to the first cell may include the effective value of the signal-to-interference-plus-noise ratio (SINR) of the cells in the first cell set. As one implementation, the effective SINR value can be calculated based on the correlation values ​​detected by PSS and SSS. When the effective SINR value of a target cell in the first cell set is greater than or equal to a certain threshold, the target cell can be added to the second cell set.

[0079] To more clearly describe the embodiments of this application, the following description is combined with... Figure 5 The second cell set includes estimated signal-to-interference-to-noise ratios of cells in the second cell set. A second filtering strategy is used to filter out false cells from the second cell set, resulting in a third cell set, which is described in detail.

[0080] See Figure 5 Flowchart 500 includes steps S502 to S522.

[0081] In step S502, the SINR value of the target cell is estimated, and the number of merges n is set to 0.

[0082] In step S504, it is determined whether the estimated SINR value of the target cell is less than the second threshold.

[0083] In some cases, the SINR estimate may be less than the second threshold, for example, when the signal quality of the target cell is very poor, or when a false cell is detected.

[0084] If the SINR estimate of the target cell is less than the second threshold, proceed to step S518.

[0085] If the SINR estimate of the target cell is greater than or equal to the second threshold, proceed to step S506.

[0086] In step S506, the target cell is added to the cell list.

[0087] The cell list can also be called the candidate cell list. False cells can be filtered out from the candidate cell list through further judgment.

[0088] In step S508, it is determined whether the estimated SINR value of the target cell is greater than or equal to the first threshold.

[0089] If the SINR estimate of the target cell is greater than or equal to the first threshold, the target cell can be considered a high-confidence cell, and then proceed to step S522.

[0090] If the SINR estimate of the target cell is less than the first threshold, the target cell can be considered a weakly trusted cell, and then proceed to step S510.

[0091] In step S510, the SINR estimate of the target cell is merged with the historical SINR estimate of the cell, and the merging count n is incremented by 1.

[0092] In some scenarios, the merged result can more accurately reflect the situation of the target cell. Therefore, as an implementation method, for weakly trusted cells, the SINR estimate of the target cell can be merged with the historical SINR estimate of the cell, and further judgment can be performed based on the merged SINR estimate.

[0093] In step S512, it is determined whether the number of merging times n is greater than or equal to N times.

[0094] As one implementation method, different thresholds can be set to determine the trustworthiness of the target cell for different numbers of merges.

[0095] If the number of merges n is greater than or equal to N, then proceed to step S514.

[0096] If the number of merges n is less than N, then proceed to step S520.

[0097] The number of merging operations, N, can be determined based on actual measurement data.

[0098] In step S514, it is determined whether the estimated SINR value of the merged target cell is greater than or equal to the fourth threshold.

[0099] If the SINR estimate of the merged target cell is greater than or equal to the fourth threshold, the target cell is considered a high-confidence cell, and the process can proceed to step S522.

[0100] If the SINR estimate of the merged target cell is less than the fourth threshold, proceed to step S516.

[0101] In step S516, it is determined whether the estimated SINR value of the merged target cell is less than the sixth threshold.

[0102] If the SINR estimate of the merged target cell is less than the sixth threshold, the target cell is considered a fake cell, and the process can proceed to step S518.

[0103] If the SINR estimate of the merged target cell is greater than or equal to the sixth threshold, proceed to step S510.

[0104] In step S518, the target cell is a fake cell and is not added to the third cell set.

[0105] In step S520, it is determined whether the estimated SINR value of the merged target cell is greater than or equal to the third threshold.

[0106] If the SINR estimate of the merged target cell is greater than or equal to the third threshold, the target cell is considered a high-confidence cell, and the process can proceed to step S522.

[0107] If the estimated SINR of the merged target cell is less than the third threshold, the cell needs to be further examined, and you can proceed to step S510.

[0108] In step S522, if the target cell is highly likely to be a real cell, the target cell is added to the third cell set.

[0109] As can be seen from the above process, in order to ensure that no true cells are missed in the third cell set, this embodiment of the application further observes weakly reliable cells whose SINR estimates are between the first and second thresholds to identify true cells among these weakly reliable cells. For example, by performing multiple measurements on weakly reliable cells and comprehensively considering the number of measurement merges and the merge results, high-probability true cells among the weakly reliable cells are added to the third cell set. Simultaneously, by combining the setting of multiple thresholds, false cells in the second cell set can be filtered out as much as possible. According to the above method, this embodiment of the application can obtain multiple cells through a single cell search, improving cell detection performance; by using a joint cell search and cell measurement filtering algorithm, the false detection probability of cells is reduced; finally, the scheduling complexity is reduced, and selecting cells to reside in from the third cell set can reduce cell residency and reselection time, avoid unnecessary losses, and improve user experience.

[0110] It should be noted that if the above method still fails to determine whether the target cell is a real cell or a fake cell, it can be determined by estimating and demodulating the physical broadcasting channel (PBCH).

[0111] It should be noted that since the definition of synchronization signal is different in different wireless access technologies, when the method provided in this application is applied to other wireless access technologies, it is only necessary to replace the synchronization signal with a synchronization signal that matches the wireless access technology.

[0112] The above text combined Figures 1 to 5 The method embodiments of this application are described in detail below, in conjunction with... Figures 6 to 7 The present application provides a detailed description of the apparatus embodiments. It should be understood that the descriptions of the method embodiments correspond to the descriptions of the apparatus embodiments; therefore, any parts not described in detail can be found in the foregoing method embodiments.

[0113] Figure 6 This is a schematic diagram of a community dwelling device provided in an embodiment of this application.

[0114] See Figure 6 The device 600 may include a search unit 610, a first filtering unit 620, a measurement unit 630, a second filtering unit 640, and a selection unit 650.

[0115] Search unit 610 is used to perform cell search on target frequency points to obtain a first cell set and related information of the first cell.

[0116] The first filtering unit 620 is used to filter out false cells from the first cell set based on the first cell information and using a first filtering strategy to obtain a second cell set.

[0117] The measurement unit 630 is used to perform cell measurements on the cells in the second cell set to obtain relevant information about the second cell.

[0118] The second filtering unit 640 is used to filter out false cells from the second cell set based on the information related to the second cell and using a second filtering strategy to obtain a third cell set.

[0119] Selection unit 650 is used to select a stationary cell from the third cell set.

[0120] Optionally, the information related to the second cell includes one or more of the following: the reference signal received power of the cells in the second cell set, the time offset between the cells in the second cell set, and the estimated value of the signal-to-interference-plus-noise ratio of the cells in the second cell set.

[0121] Optionally, the second cell-related information includes an estimated value of the signal-to-interference-plus-noise ratio (SNR) of the cells in the second cell set, and the second filtering unit is used to: add the target cell to the third cell set if the estimated value of the SNR of the target cell in the second cell set is greater than or equal to a first threshold.

[0122] Optionally, the second cell-related information includes the estimated signal-to-interference-plus-noise ratio (SNR) of the cells in the second cell set. The second filtering unit is used to: if the estimated SNR of the target cell in the second cell set is less than a first threshold and greater than or equal to a second threshold, then merge the current estimated SNR of the target cell with the historical estimated SNR; based on the merging result, filter out false cells from the second cell set to obtain a third cell set.

[0123] Optionally, the information related to the first cell includes one or more of the following: the frequency offset of cells in the first cell set, the time offset between cells in the first cell set, the effective value of the signal-to-interference-plus-noise ratio of cells in the first cell set, and the probability that the target cell in the first cell set appears in the first cell set.

[0124] Figure 7 This is a schematic diagram of another cell dwelling device provided in an embodiment of this application. Figure 7 The dashed lines in the diagram indicate that the unit or module is optional. The device 700 can be used to implement the methods described in the above method embodiments. The device 700 can be a chip or a terminal device.

[0125] The apparatus 700 may further include one or more memories 710. The memories 710 store a program that can be executed by the processor 720, causing the processor 720 to perform the methods described in the preceding method embodiments. The memories 710 may be independent of the processor 720 or integrated within the processor 720.

[0126] The device 700 may also include a transceiver 730. The processor 720 can communicate with other devices or chips via the transceiver 730.

[0127] It should be understood that in the embodiments of this application, "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.

[0128] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0129] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed systems and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of 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 system, or some features may be ignored or not executed. Furthermore, the 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.

[0131] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0132] In addition, 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.

[0133] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can read or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs, DVDs) or semiconductor media (e.g., solid-state disks, SSDs), etc.

[0134] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology 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 maintaining a presence in a residential community, characterized in that, include: Perform cell search on the target frequency to obtain the first cell set and related information of the first cell; Based on the relevant information of the first cell, a first filtering strategy is adopted to filter out false cells from the first cell set to obtain a second cell set. Cell measurements are performed on the cells in the second cell set to obtain relevant information about the second cells; Based on the relevant information of the second cell, the second filtering strategy is used to filter out false cells from the second cell set to obtain the third cell set; Select a residential cell from the third set of cells; The second cell-related information includes estimated signal-to-interference-to-noise ratios (SNRs) of cells in the second cell set. The step of using a second filtering strategy to filter out false cells from the second cell set based on the second cell-related information to obtain a third cell set includes: If the estimated value of the signal-to-interference-plus-noise ratio (SNR) of the target cell in the second cell set is less than the first threshold and greater than or equal to the second threshold, then the current estimated value of the SNR of the target cell is merged with the historical estimated value. Based on the merging result, false cells are filtered out from the second cell set to obtain the third cell set.

2. The method according to claim 1, characterized in that, The information related to the second cell also includes one or more of the following: the reference signal received power of the cells in the second cell set, and the time offset between the cells in the second cell set.

3. The method according to claim 1, characterized in that, The step of filtering out false cells from the second cell set based on the second cell information and using a second filtering strategy to obtain a third cell set further includes: If the estimated signal-to-interference-to-noise ratio of the target cell in the second cell set is greater than or equal to the first threshold, then the target cell is added to the third cell set.

4. The method according to claim 1, characterized in that, The step of filtering out false cells from the second cell set based on the merging result to obtain a third cell set includes: If the number of times the current estimate of the signal-to-interference-plus-noise ratio (SNR) of the target cell in the second cell set is combined with the historical estimate is less than N, and the result of the combination is greater than or equal to the third threshold, then the target cell is added to the third cell set.

5. The method according to claim 1, characterized in that, The step of filtering out false cells from the second cell set based on the merging result to obtain a third cell set includes: If the number of times the current estimate of the signal-to-interference-plus-noise ratio of the target cell in the second cell set is combined with the historical estimate is greater than or equal to N, and the result of the combination is greater than or equal to the fourth threshold, then the target cell is added to the third cell set.

6. The method according to claim 1, characterized in that, The information related to the first cell includes one or more of the following: frequency offset of cells in the first cell set, time offset between cells in the first cell set, effective value of signal-to-interference-plus-noise ratio of cells in the first cell set, and probability of a target cell appearing in the first cell set.

7. The method according to claim 6, characterized in that, The first cell-related information includes the probability that the target cell in the first cell set appears in the first cell set. The step of filtering out false cells from the first cell set using a first filtering strategy based on the first cell-related information to obtain a second cell set includes: If the probability of a target cell appearing in the first cell set is greater than or equal to the fifth threshold, then the target cell is added to the second cell set.

8. A community dwelling device, characterized in that, include: The search unit is used to perform cell search on the target frequency to obtain the first cell set and related information of the first cell. The first filtering unit is used to filter out false cells from the first cell set based on the first cell information and using a first filtering strategy to obtain a second cell set. The measurement unit is used to perform cell measurements on the cells in the second cell set to obtain relevant information about the second cell. The second filtering unit is used to filter out false cells from the second cell set based on the relevant information of the second cell and adopt the second filtering strategy to obtain the third cell set; The selection unit is used to select a stationing cell from the third cell set; The second cell-related information includes an estimated signal-to-interference-to-noise ratio (SNR) of the cells in the second cell set. The second filtering unit is used for: If the estimated value of the signal-plus-interference-plus-noise ratio of the target cell in the second cell set is less than the first threshold and greater than or equal to the second threshold, then the current estimated value of the signal-plus-interference-plus-noise ratio of the target cell is merged with the historical estimated value. Based on the merging result, false cells are filtered out from the second cell set to obtain the third cell set.

9. The apparatus according to claim 8, characterized in that, The information related to the second cell also includes one or more of the following: the reference signal received power of the cells in the second cell set, and the time offset between the cells in the second cell set.

10. The apparatus according to claim 8, characterized in that, The second filtering unit is also used for: If the estimated signal-to-interference-to-noise ratio of the target cell in the second cell set is greater than or equal to the first threshold, then the target cell is added to the third cell set.

11. The apparatus according to claim 8, characterized in that, The information related to the first cell includes one or more of the following: frequency offset of cells in the first cell set, time offset between cells in the first cell set, effective value of signal-to-interference-plus-noise ratio of cells in the first cell set, and probability of a target cell appearing in the first cell set.

12. A community dwelling device, characterized in that, It includes a memory and a processor, the processor being configured to invoke a program from the memory to perform the method as described in any one of claims 1-7.

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