WO2022078050A1 - 小区搜索方法、装置、芯片、移动终端及存储介质 - Google Patents

小区搜索方法、装置、芯片、移动终端及存储介质 Download PDF

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Publication number
WO2022078050A1
WO2022078050A1 PCT/CN2021/112890 CN2021112890W WO2022078050A1 WO 2022078050 A1 WO2022078050 A1 WO 2022078050A1 CN 2021112890 W CN2021112890 W CN 2021112890W WO 2022078050 A1 WO2022078050 A1 WO 2022078050A1
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Prior art keywords
mobile terminal
state
time period
signal measurement
signal
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PCT/CN2021/112890
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English (en)
French (fr)
Inventor
刘君
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Oppo广东移动通信有限公司
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Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Priority to EP21879097.0A priority Critical patent/EP4221327A4/en
Publication of WO2022078050A1 publication Critical patent/WO2022078050A1/zh
Priority to US18/300,086 priority patent/US20230254742A1/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/16—Discovering, processing access restriction or access information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/0085—Hand-off measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
    • H04J11/0086—Search parameters, e.g. search strategy, accumulation length, range of search, thresholds
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application relates to the technical field of mobile terminals, and more particularly, to a cell search method, device, chip, mobile terminal and storage medium.
  • the mobile communication network has increasingly become an indispensable part of people's daily life.
  • the coverage of mobile networks will inevitably have weak signal areas and blind areas in the current and even for a long time in the future, such as elevators or basements in buildings, subways or tunnels in cities, remote mountainous areas, and so on.
  • signal coverage may only exist in some hotspot areas.
  • the terminal will enter a state of no network service for a long time or a short time, and at this time, it is necessary to restore the camping on the network through continuous cell search attempts.
  • the present application proposes a cell search method, device, chip, mobile terminal and storage medium.
  • an embodiment of the present application provides a cell search method, the method includes: determining a network service state of the mobile terminal according to a signal measurement value of a serving cell where the mobile terminal resides; When the state is a near outage state, a cell search of the mobile terminal is started, and the near outage state is a state between a service normal state and a service outage state.
  • an embodiment of the present application provides a cell search device, the device includes: a state determination module, configured to determine the network service state of the mobile terminal according to the signal measurement value of the serving cell where the mobile terminal resides ; a search start module, configured to start the cell search of the mobile terminal when the network service state is a near outage state, and the near outage state is a state between a service normal state and a service outage state.
  • an embodiment of the present application provides a chip, the chip includes a processor and an interface, the processor obtains program instructions through the interface, and the processor is configured to execute the program instructions to execute the above-mentioned first
  • a cell search method is provided in one aspect.
  • embodiments of the present application provide a mobile terminal, including: one or more processors; a memory; and one or more program codes, wherein the one or more program codes are stored in the memory and Configured to be executed by the one or more processors, the one or more program codes are configured to execute the cell search method provided by the first aspect above.
  • an embodiment of the present application provides a computer-readable storage medium, where a program code is stored in the computer-readable storage medium, and the program code can be called by a processor to execute the cell provided in the first aspect. search method.
  • FIG. 1 shows a schematic diagram of a system architecture of a communication network system.
  • FIG. 2 shows a schematic diagram of an existing cell search process.
  • Fig. 3 shows a flowchart of a cell search method according to an embodiment of the present application.
  • FIG. 4 shows a flowchart of a cell search method according to another embodiment of the present application.
  • FIG. 5 shows a flowchart of step S220 in the cell search method according to another embodiment of the present application.
  • FIG. 6 shows another flowchart of step S220 in the cell search method according to another embodiment of the present application.
  • Fig. 7 shows a flowchart of step S223b in the cell search method of Fig. 6 provided by the present application.
  • FIG. 8 shows a schematic diagram of an OOS scenario model provided by the present application.
  • FIG. 9 shows a schematic diagram of another OOS scenario model provided by the present application.
  • FIG. 10 shows another flowchart of a cell search method according to another embodiment of the present application.
  • FIG. 11 shows a flowchart of a cell search method according to still another embodiment of the present application.
  • Fig. 12 shows a schematic flow chart of a cell search method according to the present application.
  • FIG. 13 shows a schematic diagram of the overall flow of a cell search method according to the present application.
  • Fig. 14 shows a block diagram of a cell search apparatus according to an embodiment of the present application.
  • FIG. 15 is a block diagram of a mobile terminal for executing a cell search method according to an embodiment of the present application according to an embodiment of the present application.
  • FIG. 16 is a storage unit for storing or carrying a program code for implementing the cell search method according to the embodiment of the present application according to the embodiment of the present application.
  • FIG. 1 shows a communication system, where the communication system includes a user equipment (user equipment, UE) 100 and at least one network terminal 200 .
  • UE user equipment
  • the user equipment 100 may also be referred to as a mobile terminal (mobile terminal, MT), a mobile station (mobile station, MS), etc., and is a device that provides voice or other service data connectivity to the user.
  • the user equipment 100 may be a handheld device, a vehicle-mounted device, or the like with a wireless connection function.
  • the user equipment 100 may also be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, an industrial control device
  • VR virtual reality
  • AR augmented reality
  • the wireless terminal of the device, the wireless terminal in the unmanned driving, the wireless terminal in the smart home, etc., are not limited here.
  • the network terminal 200 may be a device deployed in a radio access network capable of wirelessly communicating with the user equipment 100, and may include a base station (BS), which may also be referred to as an eNB (evolved node B), a BTS (base station). transceiver system) or access point, etc.
  • BS base station
  • the base station may also have various forms, such as a macro base station, a micro base station, a relay station, and an access point.
  • each base station may be associated with a specific geographic coverage area (301, 302, 303) in which communication with various user equipments 100 is supported.
  • a cell the geographic area covered by the wireless signal sent by the base station is called a cell, which generally refers to the geographic area covered by a signal of a base station.
  • a base station is a cell (a base station can also be divided into several cells, in this case the cell and the sector are equivalent), and the cell is further divided into sectors (generally, a cell has one/two/ three sectors, or even more), and each sector determines the number of carrier frequencies according to the traffic volume.
  • the cell camping process of the user equipment is described below by taking the mobile terminal as an example of the user equipment.
  • the mobile terminal needs to register in a certain cell to complete the process of network registration before performing the actual service, and the mobile terminal can receive services from the network only after successfully camping on the cell.
  • the mobile terminal can choose to camp in a suitable cell once it finds a suitable cell.
  • the suitable cell may refer to a cell where the mobile terminal can camp and can obtain normal services, the cell has the capability and resources to serve the mobile terminal, and the cell must meet the cell selection criteria. That is to say, if the mobile terminal wants to camp on a cell successfully, the current cell must satisfy the cell selection criterion.
  • the cell selection criterion may refer to a channel quality standard that needs to be satisfied by the channel conditions between the cell and the mobile terminal, such as the S criterion, the R criterion, and the H criterion.
  • the mobile terminal when the cell selection criterion is the S criterion, the mobile terminal can measure the cell to be camped on in order to perform channel quality assessment to determine whether the channel condition between the cell and the mobile terminal meets the camping criterion - S criterion.
  • the S criterion may mean that the reference signal received power (Reference Signal Receiving Power, RSRP) and the reference signal received quality (Reference Signal Received Quality, RSRQ) measured by the mobile terminal are greater than a preset threshold.
  • RSRP Reference Signal Receiving Power
  • RSRQ Reference Signal Received Quality
  • the mobile terminal After the mobile terminal camps on a suitable cell, it will continue to perform cell measurement to measure whether the channel condition between the cell and the mobile terminal still satisfies the S criterion. If not satisfied, it is considered that the mobile terminal is in an Out Of Service state (OOS), that is, the network service state of the mobile terminal is a service interruption state. Then the mobile terminal will trigger a new cell search, and after searching for a new suitable cell, try to camp on and restore the network service, as shown in FIG. 2 .
  • OOS Out Of Service state
  • the inventor has found through long-term research that no matter what the situation is, the mobile terminal is in a normal resident state for a certain period of time before entering the OOS state. Therefore, this period of time can be fully utilized to judge whether the mobile terminal is in the near-OOS state.
  • the mobile terminal can actively trigger the cell search process, and select and camp on a new serving cell, so that the mobile terminal is in the near-OOS state.
  • Various services are performed on a cell with better signal strength and signal quality, which ensures that the mobile terminal can leave the weak signal cell in advance before entering the OOS state, improving user experience.
  • the inventor has proposed the cell search method, device, chip, mobile terminal, and storage medium provided by the embodiments of the present application, which can detect the mobile terminal in advance by using the time period during which the signal changes before the mobile terminal enters the OOS state. Whether the network service of the mobile terminal is in the near-OOS state, and then when it is detected that the network service of the mobile terminal is in the near-OOS state, it will actively trigger the cell search, so that the mobile terminal can camp on a new cell with better network conditions as soon as possible. Provide basic communication services on the cell of the mobile terminal, avoid the mobile terminal entering the OOS state and affect the normal operation of the service, and improve the user experience.
  • the specific cell search method will be described in detail in the following embodiments.
  • FIG. 3 shows a schematic flowchart of a cell search method provided by an embodiment of the present application.
  • the cell search method can be applied to the above-mentioned user equipment, which is not limited here.
  • the specific process of this embodiment will be described below by taking a mobile terminal as an example of user equipment.
  • the cell search method can be applied to the cell search apparatus 700 shown in FIG. 14 and the mobile terminal configured with the cell search apparatus 700 ( FIG. 15 ).
  • the process shown in FIG. 3 will be described in detail below, and the cell search method shown may specifically include the following steps:
  • Step S110 Determine the network service state of the mobile terminal according to the signal measurement value of the serving cell where the mobile terminal resides.
  • the serving cell where the mobile terminal resides may be the cell where the network terminal that establishes a connection with the mobile terminal is located, and the mobile terminal can send and receive data information through the network terminal to establish various data services with the network.
  • the data service may be used to transmit text resources, audio resources, or image resources, such as video downloads, voice calls, and the like.
  • the radio resource control layer (RadioResource Control, RRC) of the mobile terminal may determine the mobile terminal according to the signal measurement value of the serving cell where the mobile terminal camps network service status.
  • the network service state may be service normal state, near outage state, service outage state, etc.
  • the signal measurement value of the cell may be parameters used to evaluate signal quality such as RSRP, RSRQ, pilot strength of the cell, etc., which are not limited here. .
  • the service normal state can be understood as a state when the mobile terminal can camp on the current serving cell and can obtain normal network service, and the wireless signal covered by the serving cell in the environment where the mobile terminal is located is generally relatively strong.
  • the service interruption state can be understood as the state when the mobile terminal cannot camp in the current serving cell and cannot obtain network services.
  • the wireless signal of the serving cell covering the environment where the mobile terminal is located is usually weak or no signal.
  • the near outage state can be a state between the service normal state and the service outage state, that is, the mobile terminal is still in the service normal state, but is about to enter the service outage state.
  • the wireless signal of the serving cell covering the environment where the mobile terminal is located is usually Weak, but about to get weaker or no signal. Therefore, it is possible to determine which of the above states the network service state of the mobile terminal is in according to the signal measurement value obtained by measuring the serving cell in real time.
  • the current network service state of the mobile terminal may be determined according to the comparison result between the signal measurement value and a preset threshold, or the future network service state of the mobile terminal may be predicted. For example, when the signal measurement values obtained by continuous multiple measurements are far greater than the preset threshold, it can be considered that the wireless signal in the current environment is relatively strong, and the current network service state of the mobile terminal can be determined to be a normal service state.
  • the preset threshold may be a reference value for evaluating the network service state, which may be agreed upon in the protocol, configured by the network terminal, or determined by the mobile terminal, which is not limited here, and can be set reasonably according to the actual scene. For example, it may be configured by the network terminal of the serving cell through a system broadcast message.
  • the signal measurement value when the signal measurement value includes the RSRP value and the RSRQ value, it may be determined whether the current network service state of the mobile terminal is in the service interruption state by judging whether the RSRP value and the RSRQ value satisfy the S criterion.
  • the S value may be calculated first according to the RSRP value and the RSRQ value, and then according to the comparison result between the S value and the preset threshold, it is determined whether the current network service state of the mobile terminal is in a service interruption state.
  • the preset threshold needs to ensure that the current serving cell meets the minimum conditions for the mobile terminal to camp on, and cannot be too small. If the preset threshold is too small, the mobile terminal itself will not be able to camp in the current serving cell and cannot obtain network services. , is still misjudged as not in a service outage state. For example, since the current serving cell meets the minimum condition for the mobile terminal to camp on is S value>0, the preset threshold may be set to 0 or a value greater than 0.
  • the S value may include the Srxlev value (dB) and the Squal value (dB).
  • the Srxlev value can be used to measure whether the received signal strength of the mobile terminal in the current serving cell reaches the standard that can reside, and can be calculated according to the RSRP value.
  • the Squal value can be used to measure whether the received signal quality of the mobile terminal in the current serving cell reaches the standard of being able to camp, and can be calculated according to the RSRQ value.
  • the Srxlev value can be calculated by formula (1):
  • Qrxlevmeas is the RSRP value obtained by measuring the serving cell
  • Qrxlevmin is the minimum signal received power required by the serving cell, which can be obtained from the system message broadcast by the serving cell
  • Qrxlevminoffset is the offset to Qrxlevmin, only when the mobile terminal is When searching for a high-priority PLMN on the VPLMN and using Srxlev to evaluate the cell quality, it is only necessary to offset the Qrxlevmin to prevent the ping-pong effect.
  • Pcompensation is Max(PEMAX-PUMAX, 0), which is the maximum value of (PEMAX-PUMAX) and 0.
  • PEMAX is the maximum uplink transmit power allowed by the mobile terminal in the serving cell, which can be obtained from the system message broadcast by the serving cell.
  • PUMAX is the maximum uplink transmit power determined by the capability of the mobile terminal, which can be determined according to the power level of the mobile terminal. The maximum RF transmit power of the mobile terminal.
  • the Squal value can be calculated by formula (2):
  • Qqualmeas is the RSRQ value obtained by measuring the serving cell
  • Qqualmin is the minimum signal reception quality required by the serving cell, which can be obtained from the system message broadcast by the serving cell;
  • the preset threshold is set to 0, when the calculated S value is less than 0, it can be determined that the serving cell does not meet the S criterion, the mobile terminal can no longer camp in the serving cell, and the mobile terminal is currently in a service interruption state. ; When the calculated value of S>0, it can be determined that the serving cell satisfies the S criterion, the mobile terminal can still camp on the serving cell, and it can be considered that the mobile terminal is not currently in a service interruption state.
  • the mobile terminal is in the normal state of service and in the state of near interruption, it can be considered that the mobile terminal is not currently in the state of interruption of service, and the value of S when the mobile terminal is in the normal state of service is usually greater than that when the mobile terminal is in the state of near interruption. S value, therefore, it can be determined that the mobile terminal is in a normal service state according to the specific magnitude by which the obtained S value is greater than the preset threshold. Still on the verge of interruption.
  • the preset threshold is set to 0, when the calculated S value is far greater than the threshold 0, if the S value is 10, it can be determined that the mobile terminal is in a normal service state, and when the calculated S value is greater than the threshold 0 However, when approaching the threshold of 0, if the value of S is 2, it can be determined that the mobile terminal is in a near-disconnect state.
  • different preset thresholds may also be correspondingly set for different network service states, so that the corresponding network service state may be determined according to the preset threshold specifically satisfied by the signal measurement value.
  • the service normal state corresponds to the first threshold
  • the near outage state corresponds to the second threshold
  • the service interruption state corresponds to the third threshold
  • the signal measurement value currently meets the first threshold
  • it is determined that the current network service state of the mobile terminal is the service normal state .
  • the signal measurement value includes the RSRP value and the RSRQ value
  • different corresponding network service states can also be determined according to the calculated S value satisfying different thresholds. E.g.
  • the first threshold is (6, + ⁇ )
  • the second threshold is (0, 6)
  • the third threshold is (- ⁇ , 0).
  • the calculated S value is greater than 6, the first threshold is satisfied, and the movement can be determined.
  • the terminal is currently in a normal service state.
  • the calculated 0 ⁇ S value ⁇ 6 the second threshold is satisfied, and it can be determined that the mobile terminal is currently in a near-disconnect state.
  • the calculated S value ⁇ 0, the third threshold is satisfied, and the It is determined that the mobile terminal is currently in a service interruption state.
  • the current network service state of the mobile terminal may also be determined according to the change trend of the signal measurement value, or the future network service state of the mobile terminal may be predicted. For example, if the signal measurement value obtained from multiple measurements shows a trend of attenuation (decrease), and the latest signal measurement value is sufficiently low, it can be considered that the mobile terminal is moving to the weak signal coverage area in the serving cell, or the signal of the serving cell is moving towards When the coverage blind area moves, it can be determined that the mobile terminal is in a state of near interruption and is about to enter a state of service interruption.
  • the signal measurement value obtained from multiple measurements shows an upward trend, and the latest signal measurement value is high enough, it can be considered that the mobile terminal is moving to the strong signal coverage area in the serving cell, and it can be determined that the mobile terminal is in the service cell. normal status.
  • the network service state of the mobile terminal may be determined according to the change trend of the signal measurement value within a period of time, or the network service state of the mobile terminal may be determined according to the change trend of a certain number of signal measurement values, is not limited.
  • the current network service state of the mobile terminal can be determined according to the change trend of the signal measurement value obtained by the recent 10 measurements.
  • the continuous movement of the mobile terminal will cause the signal measurement value between the serving cell and the mobile terminal to change from time to time.
  • the mobile terminal moves from the strong signal coverage area in the serving cell to the weak signal coverage area in the serving cell, or moves to the signal coverage blind area of the serving cell, it can be found that the signal measurement value between the serving cell and the mobile terminal is moving. The period will show a decreasing trend, and it is possible that the signal measurement value will be lower and lower in the future.
  • the signal measurement value between the serving cell and the mobile terminal may fluctuate continuously during the movement, and will not tend to decrease in a wide range.
  • the change trend of the signal measurement value is related to the current network service state of the mobile terminal. Therefore, the current network service state of the mobile terminal can be determined according to different changing trends of the signal measurement values.
  • the change trend of the signal measurement value may be the change trend of the RSRP value and the RSRQ value, or the change trend of the calculated S value, which is not limited herein.
  • the foregoing manner of determining the network service state of the mobile terminal according to the signal measurement value is only an example, and is not limited in the embodiments of the present application.
  • the network service state of the mobile terminal can also be jointly determined by combining the above-mentioned comparison result of the signal measurement value with the preset threshold and the change trend of the signal measurement value, so as to improve the prediction accuracy of the network service state.
  • Step S120 When the network service state is a near outage state, start the cell search of the mobile terminal, and the near outage state is a state between a service normal state and a service outage state.
  • the network service state of the mobile terminal after the network service state of the mobile terminal is determined, it can be determined whether the network service state is an approaching interruption state, so as to determine whether it is necessary to enter the processing link of avoiding interruption in advance. Specifically, when the network service state is near interruption state, it can be considered that the mobile terminal is about to enter the service interruption state. At this time, it is necessary for the mobile terminal to enter the processing link to avoid interruption, that is, the cell search of the mobile terminal can be started immediately, so that the mobile terminal The terminal can select and camp on a new cell as soon as possible, allowing the mobile terminal to perform various services in a cell with better signal strength and signal quality, so that the mobile terminal can leave the weak signal in the serving cell in advance before entering the service interruption state.
  • Cells or no-signal areas can prevent the mobile terminal from entering the service interruption state and affect the normal operation of the service and improve the user experience.
  • the cell search initiated by the mobile terminal may be cell search for all frequency bands, or may be cell search according to the saved frequency bands searched in the previous history, which is not limited herein.
  • the mobile terminal when the determined network service state is the service normal state, since the mobile terminal is not in the near interruption state, it can be considered that the mobile terminal will not enter the service interruption state in a short period of time. At this time, the mobile terminal does not need to enter the interruption avoidance state. In other words, it is not necessary to start the cell search of the mobile terminal, and it is not necessary to select and camp on a new cell.
  • the mobile terminal because the network service state is usually changed in the order of service normal state -> near outage state -> service outage state, the mobile terminal usually has determined the near outage state before determining the service outage state. However, in the embodiment of the present application, when it is determined that the near outage state is near, the mobile terminal will immediately start the cell search. Compared with the solution of starting the cell search after the service interruption state is determined, the trigger time of the cell search is earlier than that.
  • the mobile terminal will actively start the cell search in advance before entering the service interruption state, so as to search in advance whether there is a better cell to camp on.
  • This enables the mobile terminal to leave the serving cell that is currently unsuitable for camping in advance before entering the service interruption state, so as to prevent the mobile terminal from entering the service interruption state.
  • it can be understood that if it is determined that the service is currently in a state of interruption, it can be considered that a cell search for a period of time from the previous near interruption state to the present has not found a better new cell to camp on. At this time, the cell search still needs to be Proceed to find a new cell to camp on as soon as possible. Because if the cell search started in the previous near outage state has found a better new cell to camp on, the mobile terminal will not be currently in the service outage state after camping on the new cell.
  • the cell search method determines the network service status of the mobile terminal according to the signal measurement value by acquiring the signal measurement value of the serving cell where the mobile terminal resides, and when the determined network service status is near In the interrupted state, the cell search of the mobile terminal is started to camp on a new serving cell.
  • the near interruption state is a state between the service normal state and the service interruption state. Therefore, it can be detected in advance whether the network service of the mobile terminal is about to enter the service interruption state, and then when it is detected that the network service of the mobile terminal is about to enter the service interruption state, a cell search is triggered, so that the mobile terminal can camp on a better network condition as soon as possible.
  • various basic services of users are not affected due to service interruption, which improves user experience.
  • FIG. 4 shows a schematic flowchart of a cell search method provided by another embodiment of the present application.
  • the flow shown in FIG. 4 will be described in detail below, and the cell search method shown may specifically include the following steps:
  • Step S210 Obtain the signal measurement value of the serving cell where the mobile terminal resides.
  • the signal measurement value of the serving cell where the mobile terminal resides may be obtained first.
  • the mobile terminal may measure the signal quality of the serving cell periodically or aperiodically.
  • the mobile terminal periodically measures the signal quality of the serving cell, for example, every 128ms, the signal quality of the serving cell is measured, and the mobile terminal can continuously obtain the signal measurement value so as to determine the current network service status of the mobile terminal in real time.
  • the mobile terminal may also acquire a plurality of signal measurement values measured within the specified period of time every specified period of time, so as to detect the network service status within the specified period of time according to the signal measurement values of the specified period of time, At the same time, it can also predict the network service state that may be in the future. The number of data acquisitions is reduced.
  • the specified duration may be reasonably set according to the actual scene, which is not limited here. Such as can be 2S, 3S, 5S and so on.
  • the signal parameters obtained when the mobile terminal performs signal measurement of the cell may be obtained as the signal measurement value of the serving cell where the mobile terminal resides. Specifically, after the mobile terminal camps on a suitable cell, it will continue to measure the cell channel quality—RSRP value and RSRQ value through the Physical Layer (PHY), and judge whether the RSRP value and RSRQ value meet the requirements through the RRC layer.
  • PHY Physical Layer
  • the S criterion if the S criterion is not met, the mobile terminal is considered to be in an OOS out-of-service state, and then the mobile terminal will try to camp on a new cell to restore network services.
  • the obtained RSRP value and RSRQ value can be obtained as the signal measurement value of the serving cell where the mobile terminal resides.
  • Step S220 Determine the network service state of the mobile terminal according to the signal measurement value within a preset time period before the current moment.
  • the signal measurement value measured by the mobile terminal may also be unstable, such as a sudden peak at a certain moment, or a sudden peak at a certain moment. reach the valley value. If the current network service status is estimated only based on the current signal measurement value, it is easy to misjudge and the accuracy is not high. Therefore, the current network service status can be estimated by integrating signal measurement values over a period of time. Interference of individual unstable values can be avoided.
  • the mobile terminal may store measurement result data obtained from each measurement, the measurement result data may include signal measurement values and corresponding measurement time points, and the manner of storing the measurement result data may be an array, a linked list, a file, etc. , which is not limited here. Therefore, whenever the mobile terminal estimates the network service state, it can obtain from the storage space, the corresponding signal measurement value of the measurement time point within the preset time period before the current moment, that is, the preset time before the current moment. The signal measurement values obtained by the measurement in the segment are then used to estimate the network service status according to the batch of signal measurement values.
  • the preset time period is the signal measurement time interval that needs to be referenced each time the network service status is determined, which can be an analyzable time period, that is, there are enough signal measurement values in the preset time period, and the Estimate effectively.
  • the preset time period may be a time period of a fixed length of time. That is to say, the time period corresponding to the fixed time length before the current moment is the preset time period, so that the mobile terminal can obtain the signal measurement value measured within the fixed time length.
  • the fixed time length can be reasonably set according to actual needs, which is not limited here.
  • the fixed time length is set to 3S
  • the preset time period is the time window 3S before the current time. If the mobile terminal has measured the signal quality of the serving cell 25 times within the 3S, the mobile terminal can obtain the information from the 25 times. Signal measurements obtained for each measurement.
  • the preset time period can also be a time period of a fixed number of measurements, that is to say, the time period corresponding to the fixed number of measurements before the current moment is the preset time period, so that the mobile terminal can directly obtain The signal measurement value obtained for each measurement in this fixed number of measurements.
  • the fixed number of measurements can be reasonably set according to actual needs, which is not limited here. For example, the fixed number of measurements is set to 20, the preset time period is the time window corresponding to the 20 measurements before the current moment, and the terminal device can obtain the signal measurement value obtained by each of the 20 measurements.
  • the time period for the fixed number of measurements may be fixed.
  • the mobile terminal measures the serving cell once every 128 ms, the signal measurement values of the first 20 times are obtained, that is, the signal measurement values within the first 2.5 seconds are obtained.
  • the measurement result data may also be stored in a fixed-length array or linked list, and stored in a first-in, first-out (First Input First Output, FIFO) manner.
  • the first item of the array or linked list represents the oldest data, and the last item represents the latest data. Therefore, after the number of elements in the array or the linked list reaches the fixed length, the mobile terminal can obtain the signal measurement value of a fixed number of times of measurement according to the signal measurement value stored in the fixed length array or the linked list.
  • the mobile terminal may define an array or linked list with a maximum length of Maximum to store measurement result data (eg, RSRP value, RSRQ value and measurement time point Time value) measured by the PHY.
  • the Maximum may be an odd number or an even number, which is not limited here. If the amount of data stored in the array or linked list has not reached the Maximum value, the mobile terminal can continue to collect and store it in a first-in, first-out FIFO manner. If the amount of stored data has reached the Maximum value, when receiving new measurement result data, The mobile terminal can remove the oldest stored measurement result data, move other measurement result data forward in sequence, and then store the new measurement result data in the last position of the array or linked list. Therefore, the number of elements in the array or linked list can always be kept as Maximum, that is, a signal measurement value with a fixed number of measurements is obtained.
  • the mobile terminal may determine the network service status of the mobile terminal according to the change of the signal measurement value.
  • step S220 may include:
  • Step S221a Determine the change trend of the signal strength in the preset time period according to the signal measurement value in the preset time period before the current moment.
  • the mobile terminal may determine the change trend of the signal strength in the preset time period according to the signal measurement value obtained by each measurement in the preset time period.
  • the signal measurement value includes multiple types of values
  • the variation trend of each type of signal measurement value can also be determined separately.
  • the signal measurement value includes the RSRP value and the RSRQ value
  • the change trend of the RSRP value and the change trend of the RSRQ value within the preset time period can be determined respectively.
  • a change curve of the signal measurement value may be generated according to the signal measurement value obtained by each measurement and each measurement time point, so that the change trend of the signal strength in the preset time period may be determined according to the trend of the curve.
  • the terminal device can arrange each measurement time point in chronological order on the horizontal axis of time, and mark the corresponding signal measurement above each measurement time point according to the numerical standard of the vertical axis of the measurement value. values and connect each signal measurement with a line. This generates a curve of the measured value of the signal.
  • the types of lines can be various, which are not limited here. For example, it can be a polyline, a smooth curve, a dashed line, a solid line, etc.
  • Step S222a when the change trend is a decreasing trend and the signal measurement value at the current moment satisfies the first range, determine that the network service state of the mobile terminal is an approaching interruption state.
  • the change trend of the signal strength within the preset time period is a decreasing trend.
  • the variation curve of the above signal measurement value may show a downward trend, or it may be that all the signal measurement values stored in the above array or linked list are arranged in a descending order from front to back. It should be noted that, it is not necessary to decrease gradually, and it is sufficient that there is a generally decreasing trend from front to back.
  • the mobile terminal when the signal measurement value obtained by the recent measurement is in a decreasing trend, it can indicate that the mobile terminal is moving away from the coverage area with relatively good signal in the serving cell, and is moving to the coverage area with relatively weak signal in the serving cell. Then the mobile terminal may be about to enter a service interruption state.
  • the regional signal after the movement is not as strong as the signal before the movement, it is still enough to support the mobile terminal to stay in the current serving cell to perform normal network services, that is, although the signal strength trend is decreasing, but The mobile terminal is currently still in a normal service state. Therefore, it is easy to make a misjudgment if it is determined that the mobile terminal is in a near-disconnect state only according to the change trend of the signal strength being a decreasing trend. Therefore, in some embodiments, it may be further determined whether the mobile terminal is in a near interruption state according to the magnitude of the latest signal measurement value.
  • the change trend is a decreasing trend and the signal measurement value at the current moment satisfies the first range, it may be determined that the network service state of the mobile terminal is an approaching interruption state.
  • the signal measurement value at the current moment may be understood as the newly acquired signal measurement value, which may be the signal measurement value obtained one or two times most recently from the current moment, which is not limited herein.
  • the first range may be a preset threshold mentioned in the foregoing embodiments, which may be used here to evaluate whether the signal measurement value at the current moment is close to the current serving cell and meets the minimum conditions for the mobile terminal to camp on . That is to say, if the signal measurement value at the current moment satisfies the first range, it can be considered that although the mobile terminal can currently camp on the serving cell, it has approached the minimum camping condition. Once the signal strength continues to decrease, the current serving cell It may not meet the minimum conditions for the mobile terminal to camp on (ie the mobile terminal cannot camp on the current serving cell), and once the current serving cell does not meet the minimum conditions for the mobile terminal to camp on, the mobile terminal will enter the OOS service interruption state. In other words, when the mobile terminal is in the near outage state, the acquired signal measurement value usually meets the first range, that is, the current signal measurement value meets the first range, which may be a sufficient condition for the mobile terminal to be in the near outage state.
  • the specific upper and lower limit values of the first range can be reasonably set according to actual needs, which are not limited here. It should be noted that, since the mobile terminal can still camp on the current serving cell when the signal measurement value meets the first range, the lower limit value (ie the minimum value) of the first range must at least ensure that the current serving cell meets the mobile terminal camping requirement. minimum conditions.
  • the first range corresponding to each type may also be determined separately. Then, as long as there is one type of signal measurement that satisfies its corresponding first range, it can be determined that the signal measurement value at the current moment satisfies the first range; Only when the signal measurement value at the current moment meets the first range can it be determined that the multiple types can be all types, which are not limited here.
  • the signal measurement value includes two types, the RSRP value and the RSRQ value
  • the Srxlev value and the Squal value after calculating two types of S values according to the RSRP value and the RSRQ value: the Srxlev value and the Squal value, it can be judged whether the Srxlev value satisfies the first Srxlev range and whether the Squal value satisfies the first Squal range.
  • both the Srxlev value and the Squal value can be used to evaluate the strength of the wireless signal, when either of the Srxlev value and the Squal value satisfies the above range, it can be determined that the signal measurement value at the current moment satisfies the first range.
  • the lower limit of the first Srxlev range and the first Squal range can be set to 0, that is, the first Srxlev range can be (0, Threshold_1_Sr),
  • the first Squal range may be (0, Threshold_1_Sq).
  • Threshold_1_Sr and Threshold_1_Sq are numerical upper limits, which may be the same or different, and the specific Threshold_1_Sr and Threshold_1_Sq may be reasonably set according to the actual situation, which is not limited here.
  • Threshold_1_Sr can be set to 10 (dB)
  • Threshold_1_Sq can be set to 5 (dB).
  • the signal measurement value measured by the mobile terminal may also be unstable, such as suddenly reaching a peak value at a certain time, or suddenly reaching a valley value at a certain time. If the current network service state is estimated only based on whether the current signal measurement value meets the first range, it is easy to misjudge and the accuracy is not high. Therefore, it is possible to first determine whether the mobile terminal is moving to a coverage area with weaker signals than the previous signal by determining that the change trend of the signal strength is a decreasing trend, and then determine that the current serving cell is determined by determining that the signal measurement value at the current moment satisfies the first range.
  • the mobile terminal It has approached the minimum condition for the mobile terminal to reside, so it can be accurately determined that the mobile terminal is moving to the weak signal coverage area or no signal area, and the mobile terminal is about to enter the service interruption state, that is, the mobile terminal is currently in the near interruption state.
  • the mobile terminal it is also possible to first determine that the signal measurement value at the current moment satisfies the first range, and then determine that the change trend of the signal strength is a decreasing trend to jointly determine that the current mobile terminal is in a state of near interruption.
  • the order is not limited here.
  • the mobile terminal may first determine whether all RSRP and RSRQ values in the collected array or linked list are arranged in descending order. If the order is not in descending order, you can wait until new measurement result values are received before continuing to judge whether the order is in descending order. If it is arranged in descending order, it can indicate that the RSRP and RSRQ values of the mobile terminal are continuously decreasing, and then Srxlev and Squal can be calculated respectively according to the latest RSRP and RSRQ values in the array or linked list, and whether Srxlev satisfies the first Srxlev range can be judged respectively.
  • the mobile terminal may also determine the network service status of the mobile terminal according to the change of the signal measurement value for a period of time.
  • the preset time period may include a first time period and a second time period.
  • step S220 may also include:
  • Step S221b Determine the first average value of the signal measurement values in the first time period before the current moment.
  • Step S222b Determine the second average value of the signal measurement values in the second time period before the current moment.
  • the signal since the signal may fluctuate greatly, the signal measurement value within the preset time period is very unstable, and it may not be possible to determine the change trend of the signal strength within the preset time period. Therefore, it can be determined whether the signal strength is gradually weakening according to the change of the average signal strength over a period of time. Specifically, a first average value of the signal measurement values in a first time period before the current moment can be determined, and a second average value of the signal measurement values in a second time period before the current moment can be determined, so as to be based on the first average value and The second average value changes to determine whether the signal strength is gradually weakening.
  • the time lengths of the first time period and the second time period may be equal, and the second time period may both be later than the first time period.
  • the definitions are similar and will not be repeated here. It can be understood that, when the signal measurement value includes multiple types of values, the first average value and the second average value corresponding to each type can also be determined respectively.
  • the first time period and the second time period may be consecutive time periods.
  • the above preset time period may be divided equally to determine the first time period and the second time period, that is, the first time period and the second time period may be the first half of the above preset time period Part of the time period and the second half of the time period.
  • the preset time period of a fixed time length is 5S
  • the first time period can be the first 2.5S
  • the second time period can be the last 2.5S
  • the preset time period corresponding to the fixed number of measurements is 20 times, the first time period can be 2.5S.
  • the first time period may be the preset time period corresponding to the first 10 times
  • the second time period may be the preset time period corresponding to the last 10 times.
  • the first time period and the second time period may also be discontinuous time periods, for example, the first time period may be the beginning part of the above-mentioned preset time period, and the second time period may be the above-mentioned preset time period In the end part of the time period, there is a time interval between the first time period and the second time period.
  • the specific first time period and second time period are not limited herein.
  • determining the first average value of the signal measurement values in the first time period before the current moment may be obtaining the sum of the measurement values of all the signal measurement values in the first time period, and then obtaining the sum of the measurement values and the first average value of the measurement values.
  • a ratio of a time period as a first average of the signal measurements in the first time period It is also possible to obtain the total measurement times of the signal measurement values in the first time period, and then obtain the ratio of the sum of the measurement values to the total measurement times as the first average value of the signal measurement values in the first time period.
  • the sum of the measurement values may also be directly used as the first average value.
  • the specific method for determining the first average value is not limited here, and it only needs to reflect the signal strength for a period of time.
  • the manner of determining the second average value is similar to that of the first average value, and details are not repeated here.
  • the mobile terminal may divide the RSRP data and the RSRQ data in the above-mentioned array or linked list into two parts, wherein the data in the first half is the signal measurement value of the first time period, and the data in the second half is the signal measurement value of the first time period.
  • the data are signal measurements for the second time period.
  • the first average value of the first half and the second average of the second half of the RSRP data, and the first average of the first half and the second average of the second half of the RSRQ data can then be calculated, respectively.
  • the specific calculation formula can be:
  • RSRP second average (RSRP[Maximum/2]+RSRP[Maximum/2+1]+...+RSRP[Maximum-1])/Maximum*2;
  • RSRQ second average (RSRQ[Maximum/2]+RSRQ[Maximum/2+1]+...+RSRQ[Maximum-1])/Maximum*2.
  • Step S223b When the second average value is smaller than the first average value and the signal measurement value at the current moment satisfies the second range, determine that the network service state of the mobile terminal is a near interruption state.
  • the second average value when the second average value is smaller than the first average value, it can indicate that the signal of the previous stage is better than the signal of the later stage in the preset time period, that is, the signal in the preset time period is gradually weakened.
  • the accuracy of determining the network service state only according to the signal measurement value at the current moment meeting the second range is not high. Therefore, in some embodiments, it may be further determined whether the mobile terminal is in a near interruption state according to the magnitude of the latest signal measurement value.
  • the definition description of the second range, and the related description that the signal measurement value at the moment satisfies the second range can refer to the first range, which will not be repeated here.
  • the mobile terminal can calculate Srxlev and Squal respectively according to the latest RSRP and RSRQ values in the array or linked list, and judge whether Srxlev satisfies the second Srxlev range (0, Threshold_2_Sr), that is, whether it satisfies
  • Threshold_2_Sr 0 ⁇ Srxlev ⁇ Threshold_2_Sr, whether Squal satisfies the second Squal range (0, Threshold_2_Sq), that is, 0 ⁇ Squal ⁇ Threshold_2_Sq.
  • Threshold_2_Sr and Threshold_2_Sq are numerical upper limits, which may be the same or different.
  • the specific Threshold_2_Sr and Threshold_2_Sq can be set reasonably according to the actual situation, which is not limited here. For example, Threshold_2_Sr can be set to 8 (dB), and Threshold_2_Sq can be set to 3 (dB).
  • the two judgment conditions are not satisfied, you can continue to judge whether they are satisfied after receiving a new measurement result value. If at least one of the judgment conditions is satisfied, it can be considered that the current serving cell has approached the minimum condition for the mobile terminal to reside, and then divide the RSRP data and RSRQ data in the above array or linked list into two, and calculate the RSRP data separately.
  • the first average of the first half and the second average of the second half, and the first average of the first half and the second average of the second half of the RSRQ data When the second average value is smaller than the first average value, it may indicate that the mobile terminal has been in a near-disconnect state. When the second average value is not less than the first average value, it can indicate that the mobile terminal is not in a near-disconnect state and is still in a normal service state.
  • phased signal changes may also be determined according to the difference between the first average value and the second average value.
  • step S223b may include:
  • Step S2231 Determine the difference between the first average value and the second average value.
  • Step S2232 When the difference value satisfies the third range and the signal measurement value at the current moment satisfies the second range, determine that the network service state of the mobile terminal is a near interruption state.
  • the mobile terminal may first determine the difference between the first average value and the second average value, and then determine whether the difference satisfies the third range.
  • the third range is a decision threshold for evaluating whether the signal measurement values of the two stages before and after show an attenuation trend. That is to say, if the difference between the first average value and the second average value satisfies the third range, it can be considered that the signal measurement values of the two stages before and after the preset time period are gradually weakened.
  • the specific upper and lower limit values of the third range can be reasonably set according to actual needs, which are not limited here. It should be noted that when the difference between the first average value and the second average value satisfies the third range, the signal is weak. Therefore, the first average value must be at least greater than the second average value, and the lower limit value of the third range is also That is (ie the minimum value) is at least 0.
  • the third range corresponding to each type may also be determined separately.
  • the difference between the first average value and the second average value satisfies a third range, which may be: (RSRP first average value ⁇ RSRP second average value Average>Threshold_3_Sr)
  • Threshold_3_Sr and Threshold_3_Sq are the lower limit of the value, which may be the same or different.
  • Threshold_3_Sr and Threshold_3_Sq can be set reasonably according to the actual situation, which is not limited here.
  • Threshold_3_Sr can be set to any value (dB) from 0 to 5
  • Threshold_3_Sq can be set to any value (dB) from 0 to 3.
  • scenario models in which the OOS service is interrupted by a mobile terminal are mainly divided into two categories: one is a fast and steep descent mode, and the other is a slow descent mode.
  • the fast and steep drop mode refers to the rapid decrease of the signal strength or signal quality of the mobile terminal from a strong signal to a weak signal or no signal (see Figure 8), which generally occurs when entering an area with no signal or weak signal coverage from an area with good signal, such as from Exterior expanses into basements or elevators, tunnels, etc.
  • the slow decrease mode means that the signal strength or signal quality of the mobile terminal slowly decreases from weak signal to weaker or no signal (refer to Figure 9), which generally occurs when entering an area with no signal or extremely weak signal coverage from a weak signal area, such as Remote rural areas or mountainous areas, etc. Therefore, in some embodiments, the judgment of the near-interruption state of the fast jitter-down mode with obvious changes can be detected according to the above-mentioned evaluation method of the change of the signal measurement value before and after, and the evaluation can be made according to the above-mentioned periodic changes over a period of time. The method is used to detect whether the change is relatively slow and insignificant, and the judgment of the near-interruption state of the slow-decrease mode occurs.
  • the above two evaluation methods may be used to judge together, that is, the mobile terminal can judge whether the collected measurement result data satisfy the judgment criteria of the fast and steep descent mode and the judgment criteria of the slow descent mode respectively according to different scene modes. Judgment criteria, so that as long as there is one criterion that is satisfied, it can be determined that the network service state of the mobile terminal is a near interruption state. For example, see Figure 10.
  • Step S230 When the network service state is a near outage state, start the cell search of the mobile terminal, and the near outage state is a state between a service normal state and a service outage state.
  • step S230 reference may be made to the relevant descriptions of the foregoing embodiments, and details are not repeated here.
  • the cell search method obtains the signal measurement value in a preset time period before the current moment in the serving cell where the mobile terminal resides, so as to obtain the signal change according to the signal measurement value in the preset time period. , determine the network service state of the mobile terminal, and start the cell search of the mobile terminal to camp on a new serving cell when the determined network service state is an approaching interruption state.
  • the near interruption state is a state between the service normal state and the service interruption state. Therefore, it is possible to detect in advance whether the network service of the mobile terminal is about to enter the service interruption state according to the signal change in the preset time period before the current moment, and then trigger the cell search when it is detected that the network service of the mobile terminal is about to enter the service interruption state. , so that the mobile terminal can camp on a new cell with better network conditions as soon as possible, so that the basic services of the user are not affected by the service interruption, and the user experience is improved.
  • FIG. 11 shows a schematic flowchart of a cell search method provided by another embodiment of the present application.
  • the flow shown in FIG. 11 will be described in detail below, and the cell search method shown may specifically include the following steps:
  • Step S310 Obtain the signal measurement value of the serving cell where the mobile terminal resides.
  • Step S320 Determine the network service state of the mobile terminal according to the signal measurement value.
  • Step S330 when the network service state is near interruption state, determine the signal change slope within the specified time period according to the signal measurement value within the specified time period before the current moment.
  • the mobile terminal when it is determined that the network service state is near interruption state, can perform different interruption avoidance processing operations according to different signal change trends, so as to adapt to different scenarios and achieve better performance optimization. Specifically, when the network service state is near interruption state, the mobile terminal can determine the signal change slope in the designated time period according to the signal measurement value in the designated time period before the current moment, so as to determine the corresponding avoidance according to the signal change slope Interrupt handling operations.
  • the specified time period may be the above-mentioned preset time period, or may be a time period longer or longer than the above-mentioned preset time period, which is not limited herein.
  • the earliest signal measurement value and the corresponding earliest measurement time point in the specified time period, and the latest signal measurement value and the corresponding latest measurement time point can be obtained first. Measure the time point, then obtain the measurement difference between the earliest signal measurement value and the latest signal measurement value, and obtain the time difference value between the earliest measurement time point and the latest measurement time point, and then obtain the measurement difference and The ratio of the time difference values as the slope of the signal change over the specified time period.
  • the specified time period is a preset time period with a fixed length of time
  • the ratio of the above-mentioned measured difference value to the specified time period may also be obtained as the signal change slope within the specified time period. Or you can directly use the measured difference as the signal change slope for reference, because the time length is fixed and has no reference meaning.
  • the signal change slope of each type of signal measurement value within a specified time period can also be determined separately.
  • the signal change slope of the RSRP value and the signal change slope of the RSRQ value within a specified time period may be determined respectively.
  • the mobile terminal can calculate the signal change slope Krsrp_1 of the signal strength of the RSRP value and the signal change slope Krsrp_2 of the signal quality of the RSRQ value respectively, and the calculation method can be as follows:
  • Krsrp_1 (RSRP[0]-RSRP[Maximum-1])/(Time[Maximum-1]-Time[0]);
  • Krsrp_2 (RSRQ[0] ⁇ RSRQ[Maximum ⁇ 1])/(Time[Maximum ⁇ 1] ⁇ Time[0]).
  • Step S340 Determine whether the signal change slope is greater than a slope threshold. If yes, go to step S350; if not, go to step S360.
  • Step S350 Start the cell search of the mobile terminal according to the first policy, wherein the priority of the mobile terminal responding to the cell search according to the first policy is higher than the priority of responding to the network service for the service.
  • Step S360 Start the cell search of the mobile terminal according to the second policy, wherein the priority of the mobile terminal responding to the cell search according to the second policy is lower than the priority of responding to network service for the service.
  • the mobile terminal can perform cell search operations with different strategies according to the magnitude of the signal change slope. In this way, different interrupt avoidance processing operations can be performed according to different signal change trends, so as to adapt to different scenarios and achieve better performance optimization.
  • the mobile terminal can determine whether the signal change slope is greater than the slope threshold. When it is greater than the slope threshold, cell search of the mobile terminal can be started according to the first policy, wherein the priority of the mobile terminal responding to the cell search according to the first policy is higher than the priority of responding to network service for the service. When not greater than the slope threshold, cell search of the mobile terminal can be started according to the second strategy, wherein the priority of the mobile terminal responding to the cell search according to the second strategy is lower than the priority of responding to network services for services.
  • the slope threshold can be understood as a decision threshold for evaluating the speed of signal attenuation change, which can be pre-stored in the mobile terminal or obtained from a broadcast message sent by the network terminal, which is not limited here. Its value can also be reasonably set according to the actual scene, which is not limited here. If you can set 1.
  • the signal change slope is greater than the slope threshold, it means that the signal attenuation changes rapidly, and it can be considered that the mobile terminal will soon enter the OOS state.
  • the mobile terminal should immediately trigger the cell search process of the mobile terminal to ensure mobile The terminal can find a better cell to camp on as soon as possible, and the mobile terminal has a higher priority to perform the cell search task, which will take precedence over the general service execution.
  • the signal changes slowly it can be considered that although the mobile terminal is in a weak signal, it can still last for a period of time.
  • the mobile terminal In order to minimize the impact on normal services, although the cell search process of the mobile terminal can also be triggered at this time, the mobile terminal
  • the priority of the terminal to perform the cell search task is low, that is, the background is performed, and the priority is lower than that of the general service, which can be interrupted by the general service. Such as background search.
  • the slope threshold corresponding to each type may also be determined separately. Then, as long as there is one type of signal change slope greater than its corresponding slope threshold, it can be determined that the signal attenuation changes rapidly; It can be determined that the signal attenuation changes rapidly, and the multiple types may be all types, which are not limited here.
  • the signal measurement value includes two types, the RSRP value and the RSRQ value
  • the slope Krsrp_1 and the slope Krsrp_2 satisfies the above conditions, both It can be determined whether the slope of the signal change is greater than a slope threshold. That is, it is judged whether the following conditions are satisfied: Krsrp_1>Threshold_4_Sr
  • Threshold_4_Sq may be the same or different, and the specific Threshold_4_Sr and Threshold_4_Sq may be reasonably set according to the actual situation, which is not limited here.
  • the mobile terminal can camp on the new cell and set the new cell as a new serving cell. That is to say, when a target cell with better signal strength and signal quality than the currently camped serving cell is found, the mobile terminal can be controlled to switch from the currently camped serving cell to the target cell for camping, that is, the target cell It is set as a new serving cell, so that the CS/PS service can be normally performed in the new serving cell, so as to prevent the mobile terminal from entering the OOS state and affecting the normal operation of the basic communication service.
  • FIG. 12 shows a main flowchart of a cell search method provided by the present application
  • FIG. 13 shows an overall flowchart of a cell search method provided by the present application.
  • the mobile terminal collects and measures the signal measurement values RSRP and RSRQ values of the currently residing serving cell and stores them in the array or linked list, and then judges whether the number of elements in the array or linked list reaches the Maximum. When the maximum is reached, the mobile terminal enters the OOS estimation stage. After entering the OOS estimation stage, the mobile terminal can, according to different scene modes, judge whether the collected measurement result data satisfies the judgment criteria of rapid and steep descent and the judgment criteria of slow descent respectively. If any one of these criteria is met, it can be determined that the mobile terminal is currently in the near-OOS state. At this time, the mobile terminal can enter the OOS avoidance phase to ensure that a better cell can be found as soon as possible before entering the OOS state.
  • the change slope K of the signal strength and signal quality of the mobile terminal can be calculated first, and then it is judged whether to enter the cell search process or the background search process according to the magnitude of the slope K, and also whether the slope K is greater than Threshold_4. If the conditions are met, it means that the signal changes quickly, and the mobile terminal will enter OOS soon.
  • the cell search process is triggered immediately, and it searches in advance whether there is a better cell to camp on. If a better cell can be found, it will camp on a new cell. Cell and set the new cell as the serving cell, if no other better cell can be found, enter the OOS estimation stage again, and continue to judge the near OOS scenario when the new measurement result value is received.
  • the mobile terminal If the conditions are not met, it means that the signal changes slowly. Although the mobile terminal is in a weak signal, it can still last for a period of time. In order to minimize the impact on normal services, trigger the mobile terminal to do a background search process and search in advance whether there are more A good cell can be camped on. If a better cell can be found, it will camp on a new cell and set the new cell as the serving cell. If it cannot camp on, it will continue to trigger a new cell search process until it camps on a new cell with a good signal. on the community. Finally, the mobile terminal camps on the new serving cell, and can normally perform CS/PS services in the new serving cell.
  • the above-mentioned cell may be broadly understood as a signal coverage area.
  • the above-mentioned cell may be understood as a geographic area that can be covered by a signal of a base station.
  • the cell search method provided by the embodiments of the present application is applicable to other various wireless transmission technologies, such as WIFI signal, Bluetooth signal, Zigbee signal, Lora signal, Sigfox signal, etc.
  • the above cell It can be understood as the geographic area that can be covered by signals of wireless transmission modules such as WIFI, Bluetooth, and Zigbee.
  • the cell search method provided in this application can be used to search for a new signal coverage area in advance, so as to connect to a better signal coverage before the mobile terminal enters the service interruption state Area.
  • the network service state of the mobile terminal is determined by the signal measurement value of the serving cell where the mobile terminal resides, and when the determined network service state is an approaching interruption state, the network service state can be determined according to the current The signal measurement value in the specified time period before the time, and the signal change slope in the specified time period is determined. When the signal change slope is greater than the slope threshold, the cell search of the mobile terminal is started according to the first strategy to camp on the new service. community.
  • the priority of the mobile terminal in responding to the cell search according to the first policy is higher than the priority of responding to the network service for the service; when the signal change slope is less than or equal to the slope threshold, the cell search of the mobile terminal is started according to the second policy , wherein the priority of the mobile terminal responding to the cell search according to the second policy is lower than the priority of responding to the network service for the service. Therefore, the mobile terminal can execute different cell search strategies according to different signal change trends, so as to adapt to different scenarios and achieve better performance optimization.
  • FIG. 14 shows a structural block diagram of a cell search apparatus 700 provided by an embodiment of the present application.
  • the cell search apparatus 700 includes a state determination module 710 and a search initiation module 720 .
  • the state determination module 710 is used to determine the network service state of the mobile terminal according to the signal measurement value of the serving cell where the mobile terminal resides;
  • the search activation module 720 is used to start the network service state when the network service state is near interruption state.
  • the near outage state is a state between a service normal state and a service outage state.
  • the state determination module 710 may include: a recent signal determination unit, configured to determine the network of the mobile terminal according to the signal measurement value of the serving cell where the mobile terminal resides in a preset time period before the current moment service status.
  • the above-mentioned recent signal determination unit may be specifically configured to: according to the signal measurement value of the serving cell where the mobile terminal resides in a preset time period before the current moment, determine the signal strength in the preset time period. Change trend; when the change trend is a decreasing trend and the signal measurement value at the current moment satisfies the first range, it is determined that the network service state of the mobile terminal is an approaching interruption state.
  • the preset period of time may include a first period of time and a second period of time, the second period of time is later than the first period of time, and the above-mentioned recent signal determination unit may also include: a first period of time
  • the acquisition subunit is used to determine the first average value of the signal measurement values in the first time period before the current moment in the serving cell where the mobile terminal resides;
  • the second acquisition subunit is used to determine that the serving cell is currently a second average value of the signal measurement values in the second time period before the moment;
  • a parameter comparison subunit used for when the second average value is less than the first average value and the signal measurement value at the current moment satisfies the second range , and determine that the network service state of the mobile terminal is an approaching interruption state.
  • the above-mentioned parameter comparison subunit may be specifically used to: determine the difference between the first average value and the second average value; when the difference value satisfies the third range and the signal measurement value at the current moment Satisfying the second range, it is determined that the network service state of the mobile terminal is an approaching interruption state.
  • the search initiating module 720 may be specifically configured to: when the network service state is a near interruption state, determine the specified time period according to the signal measurement value within the specified time period before the current moment When the signal change slope is greater than the slope threshold, start the cell search of the mobile terminal according to the first strategy, wherein the mobile terminal responds to the cell search with a higher priority according to the first strategy Respond to the priority of network service for the service; when the signal change slope is less than or equal to the slope threshold, start the cell search of the mobile terminal according to the second strategy, wherein the mobile terminal responds according to the second strategy The priority of the cell search is lower than the priority of responding to the network servicing of the traffic.
  • the cell search apparatus 700 may further include: a cell switching module, configured to control the mobile terminal to switch from the serving cell to the target cell for camping when a target cell is found.
  • a cell switching module configured to control the mobile terminal to switch from the serving cell to the target cell for camping when a target cell is found.
  • the coupling between the modules may be electrical, mechanical or other forms of coupling.
  • each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically alone, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules.
  • the cell search apparatus provided in the embodiments of the present application is used to implement the corresponding cell search methods in the foregoing method embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.
  • the mobile terminal 100 may be a mobile terminal capable of running applications, such as a notebook computer, a smart phone, a smart watch, and smart glasses.
  • the mobile terminal 100 in the present application may include one or more of the following components: a processor 110, a memory 120, and one or more program codes, wherein the one or more program codes may be stored in the memory 120 and configured to be executed by The one or more processors 110 execute, one or more program codes configured to perform the methods described in the foregoing method embodiments.
  • the processor 110 may include one or more processing cores.
  • the processor 110 uses various interfaces and lines to connect various parts in the entire mobile terminal 100, and executes by running or executing the instructions, programs, code sets or instruction sets stored in the memory 120, and calling the data stored in the memory 120.
  • the processor 110 may adopt at least one of a digital signal processing (Digital Signal Processing, DSP), a Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and a Programmable Logic Array (Programmable Logic Array, PLA).
  • DSP Digital Signal Processing
  • FPGA Field-Programmable Gate Array
  • PLA Programmable Logic Array
  • the processor 110 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a cell searcher (Graphics Processing Unit, GPU), a modem, and the like.
  • CPU Central Processing Unit
  • GPU Graphics Processing Unit
  • the CPU mainly deals with the operating system, user interface and application programs, etc.
  • the GPU is used for rendering and drawing of the display content
  • the modem is used for dealing with wireless communication. It can be understood that, the above-mentioned modem may also not be integrated into the processor 110, and is implemented by a communication chip alone.
  • the memory 120 may include random access memory (Random Access Memory, RAM), or may include read-only memory (Read-Only Memory). Memory 120 may be used to store instructions, programs, codes, sets of codes, or sets of instructions.
  • the memory 120 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.) , instructions for implementing the following method embodiments, and the like.
  • the storage data area may also store data (such as phone book, audio and video data, chat record data) created by the mobile terminal 100 during use.
  • the structure shown in FIG. 15 is only an example, and the mobile terminal 100 may further include more or less components than those shown in FIG. 15 , or have a completely different configuration from that shown in FIG. 15 .
  • This embodiment of the present application does not limit this.
  • FIG. 16 shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application.
  • the computer-readable storage medium 800 stores program codes, and the program codes can be invoked by the processor to execute the methods described in the above method embodiments.
  • the computer readable storage medium 800 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • the computer-readable storage medium 800 includes a non-transitory computer-readable storage medium.
  • Computer readable storage medium 800 has storage space for program code 810 to perform any of the method steps in the above-described methods. These program codes can be read from or written to one or more computer program products.
  • Program code 810 may be compressed, for example, in a suitable form.
  • An embodiment of the present application further provides a chip, where the chip may include a processor and an interface, and the processor and the interface are connected.
  • the processor can obtain program instructions through an interface, and use the program instructions to execute the program instructions to execute the methods described in the foregoing method embodiments.
  • the processor may be a hardware circuit with information processing capability, or a software instruction, or a combination of hardware and software.
  • each step of the above-mentioned method can be completed by a hardware integrated logic circuit in a processor or an instruction in the form of software.
  • the interface can complete the sending or receiving of data, instructions or information, and the processor can use the data, instructions or other information received by the interface to process, and can also send the processing completion information through the interface.

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Abstract

本申请公开了一种小区搜索方法、装置、芯片、移动终端及存储介质，涉及移动终端技术领域。该小区搜索方法包括：根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态；当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。本方法在检测到移动终端的网络服务处于临近中断状态时，可主动触发移动终端的小区搜索，使得移动终端的网络服务在进入服务中断状态之前，能提前离开弱信号小区，避免移动终端因进入服务中断状态而导致业务运行异常。

Description

小区搜索方法、装置、芯片、移动终端及存储介质
相关申请的交叉引用
本申请要求于2020年10月16日提交的申请号为202011111593.0的中国申请的优先权，其在此出于所有目的通过引用将其全部内容并入本文。
技术领域
本申请涉及移动终端技术领域，更具体地，涉及一种小区搜索方法、装置、芯片、移动终端及存储介质。
背景技术
随着经济的发展和社会的进步，移动通信网络日益成为人们日常生活中不可缺少的重要组成部分。然而移动网络的覆盖在当前甚至将来很长的一段时间内仍不可避免地存在弱信号区和盲区，比如建筑物内的电梯或地下室、城市中的地铁或隧道、偏远的山区等等。特别是在网络建设的初期，可能只在某些热点区域存在信号覆盖。在这些弱信号区和盲区环境下，终端会或长或短地进入到无网络服务状态，此时需要通过不断地小区搜索尝试来恢复网络的驻留。
但一段时间的无网络服务状态，使得用户在这段时间内无法做任何网络相关业务，对用户体验有较大的影响。
发明内容
鉴于上述问题，本申请提出了一种小区搜索方法、装置、芯片、移动终端及存储介质。
第一方面，本申请实施例提供了一种小区搜索方法，所述方法包括：根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态；当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
第二方面，本申请实施例提供了一种小区搜索装置，所述装置包括：状态确定模块，用于根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态；搜索启动模块，用于当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
第三方面，本申请实施例提供了一种芯片，所述芯片包括处理器和接口，所述处理器通过所述接口获取程序指令，所述处理器用于运行所述程序指令，以执行上述第一方面提供的小区搜索方法。
第四方面，本申请实施例提供了一种移动终端，包括：一个或多个处理器；存储器；一个或多个程序代码，其中所述一个或多个程序代码被存储在所述存储器中并被配置为由所述一个或多个处理器执行，所述一个或多个程序代码配置用于执行上述第一方面提供的小区搜索方法。
第五方面，本申请实施例提供了一种计算机可读取存储介质，所述计算机可读取存储介质中存储有程序代码，所述程序代码可被处理器调用执行上述第一方面提供的小区搜索方法。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1示出了一种通信网络系统的系统架构示意图。
图2示出了一种现有的小区搜索流程示意图。
图3示出了根据本申请一个实施例的小区搜索方法的一种流程图。
图4示出了根据本申请另一个实施例的小区搜索方法的一种流程图。
图5示出了根据本申请另一个实施例的小区搜索方法中步骤S220的一种流程图。
图6示出了根据本申请另一个实施例的小区搜索方法中步骤S220的另一种流程图。
图7示出了本申请提供的图6的小区搜索方法中步骤S223b的一种流程图。
图8示出了本申请提供一种OOS场景模型示意图。
图9示出了本申请提供另一种OOS场景模型示意图。
图10示出了根据本申请另一个实施例的小区搜索方法的另一种流程图。
图11示出了根据本申请又一个实施例的小区搜索方法的一种流程图。
图12示出了根据本申请的一种小区搜索方法的主要流程示意图。
图13示出了根据本申请的一种小区搜索方法的整体流程示意图。
图14示出了根据本申请一个实施例的小区搜索装置的一种框图。
图15是本申请实施例的用于执行根据本申请实施例的小区搜索方法的移动终端的框图。
图16是本申请实施例的用于保存或者携带实现根据本申请实施例的小区搜索方法的程序代码的存储单元。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述。
请参阅图1，图1示出了一种通信系统，该通信系统包括用户设备(user equipment，UE)100和至少一个网络终端200。
其中，用户设备100也可称为移动终端(mobile terminal，MT)、移动台(mobile station，MS)等，是一种向用户提供语音或其他业务数据连通性的设备。作为一种方式，用户设备100可以是具有无线连接功能的手持式设备、车载设备等。作为另一种方式，用户设备100也可以是手机、平板电脑、笔记本电脑、掌上电脑、可穿戴设备，虚拟现实(virtual reality，VR)设备、增强现实(augmented reality，AR)设备、工业控制中的无线终端、无人驾驶中的无线终端、智慧家庭中的无线终端等，在此并不作限定。
网络终端200可以是一种部署在无线接入网中能够和用户设备100进行无线通信的设备，可以包括基站(base station，BS)，其也可称为eNB(演进节点B)、BTS(基站收发器系统)或接入点等。其中，基站也可能有多种形式，比如宏基站、微基站、中继站和接入点等。
当网络设备200为基站时，每个基站均可以与特定地理覆盖范围(301、302、303)相关联，在该特定地理覆盖范围中支持与各种用户设备100的通信。其中，移动通信中将基站发送的无线信号覆盖的地理区域称之为小区，一般是指一个基站的信号所能覆盖的地理范围。一般来说，一个基站就是一个小区(一个基站也可以划分为几个小区，这时候小区和扇区就等同了)，小区再分为扇区(一般情况下，一个小区有一个/二个/三个扇区，甚至更多)，每个扇区再根据话务量决定载频的数量。
为方便描述，如下以移动终端作为用户设备示例说明用户设备的小区驻留过程。
移动终端在进行实际业务前需要在某个小区注册以完成网络注册的过程，移动终端只有在驻留小区成功后才可以接收来自网络的服务。通常地，为保证快速附着网络，移动终端一旦发现合适小区就可以选择在该小区驻留。其中，合适小区可以是指移动终端能驻留并可获得正常服务的小区，该小区有为移动终端服务的能力和资源，且该小区必须要满足小区选择准则。也就是说，移动终端如果想成功驻留一个小区，当前小区必须满足小区选择准则。其中，小区选择准则可以是指小区和移动终端之间的信道条件需要满足的信道质量标准，如S准则、R准则，H准则等。
在一些实施例中，当小区选择准则是S准则时，移动终端可以对将要驻留的小区进行测量，以便进行信道质量评估，以判断小区和移动终端之间的信道条件是否符合驻留的标准——S准则。当某个小区和移动终端之间的信道条件满足S准则之后，就可以被选择为驻留小区。其中，S准则可以是指移动终端测量的参考信号接收功率(Reference Signal Receiving Power,RSRP)和参考信号接收质量(Reference Signal Received Quality，RSRQ)大于预设门限。
通常地，当移动终端在驻留到合适的小区之后，仍然会持续进行本小区测量，以测量该小区和移动终端之间的信道条件是否还满足S准则。如果不满足，则认为移动终端处于无网络服务状态(Out Of Service，OOS)，即移动终端的网络服务状态为服务中断状态。然后移动终端会触发新的小区搜索，并在搜索到新的合适小区后，尝试驻留并恢复网络服务，如图2所示。
但是，由于在检测到OOS时已经不满足S准则，此时移动终端已经无法进行电话或者上网 等基本业务，即使在后续小区搜索过程中能快速找到新的小区，用户也能感知到一段时间的脱网行为，在这段时间内用户无法做任何网络相关业务，对用户体验有较大的影响。
基于此，发明人经过长期的研究发现，无论是何种情况，移动终端进入OOS状态之前都有一定的时间处于正常驻留的状态。因此，可以充分利用这段时间来判断移动终端是否处于临近OOS状态，当满足临近OOS状态的判断标准时，移动终端可主动触发小区搜索过程，并选择和驻留新的服务小区，让移动终端在一个信号强度和信号质量更好的小区上进行各种业务，保障了移动终端在进入OOS状态之前，能够提前离开弱信号小区，改善用户体验。
因此，发明人经过长期研究并提出了本申请实施例提供的小区搜索方法、装置、芯片、移动终端以及存储介质，可以利用移动终端进入OOS状态之前，信号变化的时间段，来提前检测移动终端的网络服务是否处于临近OOS状态，然后在检测到移动终端的网络服务处于临近OOS状态时，主动触发小区搜索，以使移动终端能够尽快驻留到网络条件更好的新小区上，并在新的小区上提供基本通信业务，避免移动终端因进入OOS状态而影响业务正常进行，改善用户体验。具体的小区搜索方法在后续的实施例中进行详细的说明。
请参阅图3，图3示出了本申请一个实施例提供的小区搜索方法的流程示意图。该小区搜索方法可应用于上述用户设备，在此不做限定。下面将以移动终端作为用户设备示例，说明本实施例的具体流程。在具体的实施例中，该小区搜索方法可应用于如图14所示的小区搜索装置700以及配置有所述小区搜索装置700的移动终端(图15)。下面将针对图3所示的流程进行详细的阐述，所示小区搜索方法具体可以包括以下步骤：
步骤S110：根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态。
其中，移动终端所驻留的服务小区可以是与移动终端建立连接的网络终端所在的小区，移动终端可以通过该网络终端发送和接收数据信息，以与网络建立各种数据业务。该数据业务可以是用于传输文本资源、音频资源或者图像资源，如视频下载、语音通话等。
在本申请实施例中，在移动终端成功驻留到服务小区之后，移动终端的无线资源控制层(RadioResource Control，RRC)可以根据移动终端所驻留的服务小区的信号测量值，来确定移动终端的网络服务状态。其中，网络服务状态可以是服务正常状态、临近中断状态、服务中断状态等，小区的信号测量值可以是小区的RSRP、RSRQ、导频强度等用于评估信号质量的参数，在此并不作限定。
在一些实施例中，服务正常状态可以理解为移动终端能在当前的服务小区驻留并可获得正常网络服务时的状态，此时服务小区覆盖于移动终端所处环境的无线信号通常比较强。服务中断状态可以理解为移动终端无法在当前的服务小区驻留，无法获取网络服务时的状态，此时服务小区覆盖于移动终端所处环境的无线信号通常很弱或者没有信号。临近中断状态可以为服务正常状态与服务中断状态之间的状态，也即移动终端当下还处于服务正常状态，但即将进入服务中断状态，此时服务小区覆盖于移动终端所处环境的无线信号通常比较弱，但即将会变得更弱或者没有信号。因此，可以根据实时测量服务小区得到信号测量值，来确定移动终端的网络服务状态是处于上述状态中的哪一种状态。
在一些实施例中，可以是根据信号测量值与预设门限的比较结果，来确定移动终端当前的网络服务状态，或者预测移动终端未来的网络服务状态。例如，连续多次测量得到的信号测量值都远远大于预设门限时，可认为当前环境的无线信号比较强，可确定移动终端当前的网络服务状态为服务正常状态。其中，预设门限可以是一种用于评估网络服务状态的参考数值，可以由协议约定或者由网络终端配置或者由移动终端确定，在此并不作限定，根据实际场景合理设置即可。如可以是由服务小区的网络终端通过系统广播消息配置。
作为一种实施方式，信号测量值包括RSRP值和RSRQ值时，可以是通过判断RSRP值和RSRQ值是否满足S准则，来确定移动终端当前的网络服务状态是否处于服务中断状态。具体地，可以先根据RSRP值和RSRQ值计算S值，然后根据S值与预设门限的比较结果，确定移动终端当前的网络服务状态是否处于服务中断状态。其中，预设门限需要保证当前服务小区符合移动终端驻留的最低条件，不能太小，如果预设门限太小，将会导致移动终端本身无法在当前服务小区驻留，已经不能获取网络服务时，仍被误判为未处于服务中断状态。例如，由于当前服务小区符合移动终端驻留的最低条件是S值>0，因此，预设门限可以设置为0或大于0的数值。
其中，S值可包括Srxlev值(dB)和Squal值(dB)。Srxlev值可用于衡量移动终端于当前 服务小区下的接收信号强度是否达到能驻留的标准，可根据RSRP值计算得到。Squal值可用于衡量移动终端于当前服务小区下的接收信号质量是否达到能驻留的标准，可根据RSRQ值计算得到。
具体地，可通过公式(1)计算Srxlev值：
Srxlev＝Qrxlevmeas-(Qrxlevmin+Qrxlevminoffset)-Pcompensation   (1)
其中：Qrxlevmeas为测量服务小区得到的RSRP值；Qrxlevmin为服务小区所要求的最小信号接收功率，可以从服务小区广播的系统消息中获得；Qrxlevminoffset为对Qrxlevmin进行的偏移量，仅当移动终端驻留在VPLMN上搜索高优先级PLMN而采用Srxlev评估小区质量时，才需要对Qrxlevmin进行偏移，用于防止乒乓效应。Pcompensation为Max(PEMAX-PUMAX，0)，即(PEMAX-PUMAX)和0中的最大值。PEMAX为移动终端在服务小区中允许的最大上行发送功率，可以从服务小区广播的系统消息中获得，PUMAX为由移动终端能力决定的最大上行发送功率，可以是根据移动终端的功率等级，确定出的移动终端最大射频发射功率。
具体地，可通过公式(2)计算Squal值：
Squal＝Qqualmeas–(Qqualmin+Qqualminoffset)      (2)
其中：Qqualmeas为测量服务小区得到的RSRQ值；Qqualmin为服务小区所要求的最小信号接收质量，可以从服务小区广播的系统消息中获得；Qqualminoffset为对Qqualmin进行的偏移量，仅当移动终端驻留在VPLMN上搜索高优先级PLMN而采用Squal评估小区质量时，才需要对Qqualmin进行偏移。
可以理解的是，若预设门限设置0，则当计算得到的S值<0时，可以判定服务小区不满足S准则，移动终端无法再驻留到该服务小区，移动终端当前处于服务中断状态；当计算得到的S值>0时，可以判定服务小区满足S准则，移动终端仍可驻留到该服务小区，可认为移动终端当前未处于服务中断状态。
又由于移动终端处于服务正常状态时和处于临近中断状态时，都可认为移动终端当前未处于服务中断状态，且移动终端处于服务正常状态时的S值通常会大于移动终端处于临近中断状态时的S值，因此，可以根据得到的S值大于预设门限的具体幅度，来确定移动终端是处于服务正常状态。还是处于临近中断状态。例如，若预设门限设置0，当计算得到的S值远远大于门限0时，如S值为10，则可确定移动终端是处于服务正常状态，而当计算得到的S值虽大于门限0但趋近于门限0时，如S值为2，则可确定移动终端是处于临近中断状态。
在一些实施方式中，不同的网络服务状态也可以对应设置不同的预设门限，从而可以根据信号测量值具体满足的预设门限，确定对应的网络服务状态。例如，服务正常状态对应第一门限，临近中断状态对应第二门限，服务中断状态对应第三门限等，当信号测量值当前满足第一门限时，确定移动终端当前的网络服务状态为服务正常状态。又例如，在一个具体的实施例中，当信号测量值包括RSRP值和RSRQ值时，也可以根据计算得到的S值满足不同的门限，确定对应的不同的网络服务状态。例如。第一门限为(6，+∞)，第二门限为(0，6)，第三门限为(-∞，0)，当计算得到的S值>6时，满足第一门限，可确定移动终端当前处于服务正常状态，当计算得到的0<S值<6时，满足第二门限，可确定移动终端当前处于临近中断状态，当计算得到的S值<0时，满足第三门限，可确定移动终端当前处于服务中断状态。
在另一些实施例中，也可以是根据信号测量值的变化趋势，来确定移动终端当前的网络服务状态，或者预测移动终端未来的网络服务状态。例如，若多次测量得到的信号测量值呈衰减(降低)趋势，且最新的信号测量值又足够低时，可认为移动终端正在向服务小区中弱信号覆盖区域移动，或者向服务小区的信号覆盖盲区移动，此时可确定移动终端处于临近中断状态，即将进入服务中断状态。相反地，若多次测量得到的信号测量值呈上升趋势，且最新的信号测量值又足够高时，可认为移动终端正在向服务小区中强信号覆盖区域移动，此时可确定移动终端处于服务正常状态。
在一些实施例中，可以是根据一段时间内的信号测量值的变化趋势来确定移动终端的网络服务状态，也可以是根据一定数量的信号测量值的变化趋势来确定移动终端的网络服务状态，在并不作限定。如可以根据近10次测量得到的信号测量值的变化趋势，来确定移动终端当前的网络服务状态。
可以理解的是，移动终端的不断移动，会使得服务小区与移动终端之间的信号测量值时刻发生变化。而如果移动终端从服务小区中强信号覆盖区域，向服务小区中弱信号覆盖区域移动， 或者向服务小区的信号覆盖盲区移动，则可以发现，服务小区与移动终端之间的信号测量值在移动期间会呈降低的趋势，而且可能未来的信号测量值会越来越低。而如果移动终端仅在服务小区中强信号覆盖区域移动，服务小区与移动终端之间的信号测量值在移动期间可能会持续性的上下波动，并不会大范围地呈降低的趋势。因此，信号测量值的变化趋势与移动终端当前的网络服务状态具有相关性。从而可以根据信号测量值的不同的变化趋势，来确定移动终端当前的网络服务状态。其中，信号测量值的变化趋势可以是RSRP值和RSRQ值的变化趋势，也可以是计算得到的S值的变化趋势，在此并不作限定。
可理解的是，上述根据信号测量值，确定所述移动终端的网络服务状态的方式仅为举例，在本申请实施例中并不作限定。例如，也可以结合上述的信号测量值与预设门限的比较结果和信号测量值的变化趋势，共同确定移动终端的网络服务状态，以提高网络服务状态的预测准确性。
步骤S120：当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
在本申请实施例中，在确定出移动终端的网络服务状态之后，可以判断该网络服务状态是否为临近中断状态，以确定后续是否有必要进入提前避免中断的处理环节。具体地，当网络服务状态为临近中断状态时，可认为移动终端即将进入服务中断状态，此时移动终端有必要进入避免中断的处理环节，也即可以立即启动移动终端的小区搜索，以使移动终端能够尽快选择并驻留到新小区，让移动终端在一个信号强度和信号质量更好的小区上进行各种业务，使得移动终端在进入服务中断状态之前，能够提前离开服务小区中的弱信号小区或无信号区，避免移动终端因进入服务中断状态而影响业务正常进行，改善用户体验。其中，移动终端启动的小区搜索，可以是对全频段进行小区搜索，也可以是根据保存的在此之前历史搜索过的频点频段，进行小区搜索，在此并不作限定。
在一些实施例中，当确定的网络服务状态为服务正常状态时，由于并不是临近中断状态，可认为移动终端在短时间内并不会进入服务中断状态，此时移动终端没有必要进入避免中断的处理环节，也即可以不用启动移动终端的小区搜索，不用选择并驻留到新小区。
可以理解的是，由于网络服务状态通常是由服务正常状态—>临近中断状态—>服务中断状态的顺序变更，因此，在确定为服务中断状态之前，移动终端通常已经确定了临近中断状态。而在本申请实施例中，确定了临近中断状态时，移动终端会立即启动小区搜索，也即当确定当前处于服务中断状态时，移动终端的小区搜索实际上已经持续了一段时间，与现有的在确定了服务中断状态之后，才开始进行小区搜索的方案相比，提前了小区搜索的触发时间。
也就是说，移动终端会在进入服务中断状态之前的临近中断状态，主动提前启动小区搜索，以提前搜索周围是否有更好的小区可驻留。使得移动终端在进入服务中断状态之前，能够提前离开当前已不适合驻留的服务小区，避免移动终端进入服务中断状态。可以理解的是，如果确定当前处于服务中断状态，可以认为从之前的临近中断状态开始到目前进行的一段时间的小区搜索，并未找到更好的新小区可驻留，此时小区搜索仍需继续进行，以尽快找到可驻留的新小区。因为如果在之前的临近中断状态开始进行的小区搜索，已经找到更好的新小区可驻留，那么移动终端在驻留到新小区后，当前不会处于服务中断状态。
本申请实施例提供的小区搜索方法，通过获取移动终端所驻留的服务小区的信号测量值，以根据该信号测量值，确定移动终端的网络服务状态，并在确定出的网络服务状态为临近中断状态时，启动移动终端的小区搜索，以驻留到新的服务小区。其中，该临近中断状态为服务正常状态与服务中断状态之间的状态。从而可以提前检测移动终端的网络服务是否即将进入服务中断状态，然后在检测到移动终端的网络服务即将进入服务中断状态时，触发小区搜索，以使移动终端能够尽快驻留到网络条件更好的新小区上，使得用户的各项基本业务能够不因服务中断而受到影响，提升了用户体验。
请参阅图4，图4示出了本申请另一个实施例提供的小区搜索方法的流程示意图。下面将针对图4所示的流程进行详细的阐述，所示小区搜索方法具体可以包括以下步骤：
步骤S210：获取移动终端所驻留的服务小区的信号测量值。
在本申请实施例中，在需要检测移动终端的网络服务状态时，可以先获取移动终端所驻留的服务小区的信号测量值。在一些实施例中，移动终端可以是定期或不定期地测量服务小区的信号质量。当移动终端定期测量服务小区的信号质量时，如可以是每隔128ms，测量一次服务 小区的信号质量，移动终端可以持续获取到信号测量值，以便实时确定移动终端当前的网络服务状态。
在另一些实施例中，移动终端也可以每隔指定时长，获取在该指定时长内测量得到的多个信号测量值，以根据该指定时长的信号测量值，检测指定时长内的网络服务状态，同时也可预测未来可能会处于的网络服务状态。减少了数据获取次数。其中，指定时长可以根据实际场景合理设置，在此并不作限定。如可以是2S、3S、5S等。
由于移动终端在驻留到合适的小区之后，会持续进行本小区的信号测量，以测量驻留的小区和移动终端之间的信道质量是否仍满足驻留的标准。因此，在一些实施例中，可以将移动终端进行本小区的信号测量时，得到的信号参数，作为上述移动终端所驻留的服务小区的信号测量值进行获取。具体地，移动终端在驻留到合适的小区之后，会持续通过物理层(Physical Layer，PHY)测量小区信道质量——RSRP值和RSRQ值，并通过RRC层判断该RSRP值和RSRQ值是否满足S准则，如果不满足S准则，则认为移动终端处于OOS无服务状态，然后移动终端会尝试驻留新的小区以恢复网络服务。其中，测量小区信道质量时，得到的RSRP值和RSRQ值可以作为移动终端所驻留的服务小区的信号测量值进行获取。
步骤S220：根据在当前时刻之前预设时间段内的所述信号测量值，确定所述移动终端的网络服务状态。
在一些实施例中，由于无线信号质量和强度的波动性、不稳定性，导致移动终端测量得到的信号测量值可能也会不稳定，如在某个时刻突然达到峰值，或者在某个时刻突然达到谷值。如果仅根据当前的信号测量值来预估当前网络服务状态，容易误判，准确性不高。因此，可以综合一段时间的信号测量值，来预估当前网络服务状态。可以避免个别不稳定数值的干扰。
在一些实施例中，移动终端可以将每次测量得到的测量结果数据进行存储，测量结果数据可以包括信号测量值以及对应的测量时间点，存储测量结果数据的方式可以是数组、链表、文件等，在此并不作限定。从而每当移动终端进行网络服务状态预估时，都可以从存储空间中获取到，测量时间点在当前时刻之前预设时间段内的对应的信号测量值，也即在当前时刻之前预设时间段内测量得到的信号测量值，然后根据这批信号测量值，进行网络服务状态预估。其中，预设时间段为每次确定网络服务状态时，需要参考的信号测量时间区间，其可以是一个可分析的时间段，也即预设时间段内存在足够数量的信号测量值，可进行有效地预估。
作为一种方式，预设时间段可以是固定时间长度的时间段。也就是说，在当前时刻之前的固定时间长度所对应的时间段即为预设时间段，从而移动终端可以获取该固定时间长度内测量得到的信号测量值。其中，该固定时间长度可根据实际需求合理设置，在此不作限定。例如，固定时间长度设为3S，预设时间段即为在当前时刻前3S的时间窗口，若该3S内移动终端对服务小区的信号质量测量了25次，则移动终端可以获取该25次中每次测量得到的信号测量值。
作为另一种方式，预设时间段也可以是固定测量次数的时间段，也就是说，在当前时刻之前的固定测量次数所对应的时间段即为预设时间段，从而移动终端可以直接获取该固定测量次数中每次测量得到的信号测量值。该固定测量次数可根据实际需求合理设置，在此不作限定。例如，固定测量次数设为20次，预设时间段即为在当前时刻前面20次测量对应的时间窗口，终端设备可获取该20次中每次测量得到的信号测量值。
可以理解的是，当测量为周期性进行时，固定测量次数的时间段可以是固定的。示例性地，若移动终端每隔128ms对服务小区测量一次，则获取前20次的信号测量值，也即是获得前2.5S内的信号测量值。
在一些实施方式中，也可以通过固定长度的数组或者链表来存储测量结果数据，并按照先入先出(First Input First Output，FIFO)的方式存储。其中数组或者链表的首项表示最老数据，末项表示最新数据。从而在数组或者链表中元素的数量达到该固定长度后，移动终端可以根据该固定长度的数组或者链表中存储的信号测量值，得到固定测量次数的信号测量值。
示例性地，移动终端可以定义一个数量长度最大为Maximum的数组或者链表来存储PHY测量到的测量结果数据(如RSRP值和RSRQ值及测量时间点Time值)。其中，Maximum可以为奇数，也可以为偶数，此处不作限定。如果数组或者链表中存储的数据数量还未达到Maximum值，移动终端可持续收集并按照先入先出FIFO的方式存储，如果存储的数据数量已经达到Maximum值，在收到新的测量结果数据时，移动终端可移除最早存储的测量结果数据，并将其他测量结果数据依次前移，然后再将新的测量结果数据存储到数组或者链表的末项位置 上。从而数组或者链表中元素的数量可以始终保持为Maximum，即得到固定测量次数的信号测量值。
在一些实施例中，在获取到当前时刻之前预设时间段内的信号测量值后，移动终端可以是根据信号测量值的变化情况，来确定所述移动终端的网络服务状态。
作为一种方式，可以是根据先后信号测量值的变化趋势，来确定所述移动终端的网络服务状态。具体地，请参阅图5，步骤S220可以包括：
步骤S221a：根据在当前时刻之前预设时间段内的所述信号测量值，确定所述预设时间段内信号强度的变化趋势。
在一些实施方式中，移动终端可根据预设时间段内每次测量得到的信号测量值，确定出预设时间段内信号强度的变化趋势。信号测量值包括多种类型的值时，也可以分别确定每种类型的信号测量值的变化趋势。示例性，当信号测量值包括RSRP值和RSRQ值时，可以分别确定出预设时间段内RSRP值的变化趋势，和RSRQ值的变化趋势。
作为一种方式，可以是根据每次测量得到的信号测量值以及每次的测量时间点，生成信号测量值的变化曲线，从而可以根据曲线的走势确定预设时间段内信号强度的变化趋势。具体地，终端设备可以在时间横轴上将每次的测量时间点以时间先后顺序进行排列，并根据测量值纵轴的数值标准，在每个的测量时间点的上方标出对应的信号测量值，并将每个信号测量值用线条进行连接。从而生成信号测量值的变化曲线。其中，线条的类型可以是多种，在此并不作限定。如可以是折线、圆滑曲线、虚线、实线等。
作为另一种方式，也可以是对预设时间段内每次测量得到的信号测量值进行排序，以根据排序结果确定出预设时间段内信号强度的变化趋势。
步骤S222a：当所述变化趋势为降低趋势且当前时刻的信号测量值满足第一范围时，确定所述移动终端的网络服务状态为临近中断状态。
在一些实施例中，当预设时间段内信号测量值的大小，随着时间的向前推进越来越低时，可以认为预设时间段内信号强度的变化趋势为降低趋势。其中，可以是上述信号测量值的变化曲线呈下滑趋势，也可以是上述数组或者链表中存储的所有信号测量值，是按照从前往后的顺序逐渐降低排列。需要说明的是，并非一定是逐次降低，只要从前往后大致呈降低趋势即可。
可以理解的是，当近期测量得到的信号测量值处于逐渐降低的趋势时，可表明移动终端正在远离服务小区中信号比较好的覆盖区域，且正在向服务小区中信号比较弱覆盖区域移动。那么移动终端有可能会即将进入服务中断状态。
由于在一些场景中，移动后的区域信号虽然没有移动前的信号强，但也足够支持移动终端在当前服务小区驻留进行正常的网络服务，也即信号强度的变化趋势虽然为降低趋势，但移动终端当前处于仍服务正常状态。因此，仅根据信号强度的变化趋势为降低趋势来确定移动终端处于临近中断状态，容易误判。因此，在一些实施例中，还可以根据最新的信号测量值的大小情况，来进一步确定移动终端是否处于临近中断状态。具体地，可以是当变化趋势为降低趋势且当前时刻的信号测量值满足第一范围时，确定移动终端的网络服务状态为临近中断状态。其中，当前时刻的信号测量值可以理解为最新获取到信号测量值，其可以是距离当前时刻最近一次或两次获取到的信号测量值，在此并不作限定。
在一些实施例中，第一范围可以是前述实施例中提及的一种预设门限，此处可用于评估当前时刻的信号测量值是否趋近于当前服务小区符合移动终端驻留的最低条件。也就是说，如果当前时刻的信号测量值满足第一范围，则可以认为移动终端当前虽然可驻留在该服务小区，但已经趋近于最低驻留条件，一旦信号强度继续降低，当前服务小区可能就不符合移动终端驻留的最低条件(即移动终端无法再驻留在当前服务小区)，而一旦当前服务小区不符合移动终端驻留的最低条件，移动终端就会进入OOS服务中断状态。换句话说，移动终端处于临近中断状态时，获取到的信号测量值通常会满足第一范围，即当前信号测量值满足第一范围，可以是移动终端处于临近中断状态的充分条件。
其中，第一范围具体的上下限数值可以根据实际需求合理设置，此处不作限定。需要注意的是，由于信号测量值满足第一范围时，移动终端仍可驻留在当前服务小区，因此，第一范围的下限数值(即最小值)至少需要保证当前服务小区符合移动终端驻留的最低条件。
在一些实施例中，当信号测量值包括多种类型的值时，也可以分别确定每种类型对应的第一范围。然后可以是只要存在一种类型的信号测量满足其对应的第一范围时，就可确定当前时 刻的信号测量值满足第一范围；也可以是需要多个类型的信号测量值都满足其对应的第一范围时，才可确定当前时刻的信号测量值满足第一范围，该多个类型可以是全部类型，在此并不作限定。
作为一种实施方式，信号测量值包括RSRP值和RSRQ值两种类型时，可以是根据RSRP值和RSRQ值计算S值后，通过S值来判断是否满足第一范围。具体地，根据RSRP值和RSRQ值分别计算出两种类型的S值：Srxlev值和Squal值后，可分别判断Srxlev值是否满足第一Srxlev范围，Squal值是否满足第一Squal范围。由于Srxlev值和Squal值都可以用于评估无线信号的强度，因此，可以是当Srxlev值和Squal值中任意一种满足上述范围时，都可确定当前时刻的信号测量值满足第一范围。
由于当前服务小区符合移动终端驻留的最低条件是S值>0，因此，第一Srxlev范围和第一Squal范围的下限可设置为0，也即第一Srxlev范围可为(0，Threshold_1_Sr)，第一Squal范围可为(0，Threshold_1_Sq)。其中，Threshold_1_Sr和Threshold_1_Sq为数值上限，其可以是相同的，也可以是不同的，具体的Threshold_1_Sr和Threshold_1_Sq可以根据实际情况进行合理设置，在此并不作限定。例如，Threshold_1_Sr可设为10(dB)，Threshold_1_Sq可设为5(dB)。
由于无线信号质量和强度的波动性、不稳定性，导致移动终端测量得到的信号测量值可能也会不稳定，如在某个时刻突然达到峰值，或者在某个时刻突然达到谷值。如果仅根据当前的信号测量值是否满足第一范围来预估当前网络服务状态，容易误判，准确性不高。因此，可先通过确定信号强度的变化趋势为降低趋势，来确定移动终端是否正在向比先前信号弱的覆盖区域移动，再通过确定当前时刻的信号测量值满足第一范围，来确定当前服务小区已经趋近于移动终端驻留的最低条件，从而可以准确确定出移动终端正在向弱信号覆盖区域或者无信号区移动，移动终端即将进入服务中断状态，也即当前移动终端处于临近中断状态。当然，也可以是先通过确定当前时刻的信号测量值满足第一范围，再通过确定信号强度的变化趋势为降低趋势，来共同确定出当前移动终端处于临近中断状态，两种判断条件的确定先后顺序在此并不作限定。
示例性地，在一个具体的实施例中，移动终端可以先判断收集到的数组或者链表中所有RSRP和RSRQ值，是否按照从前往后的顺序呈降低排列的。如果不是按照降序排列，则可以等收到新的测量结果值时再继续判断是否呈降低排列。如果是按照降序排列的，则可以表示移动终端的RSRP和RSRQ值在持续降低，然后可根据数组或者链表中最新RSRP和RSRQ值，分别计算Srxlev和Squal，并分别判断Srxlev是否满足第一Srxlev范围(0，Threshold_1_Sr)，即是否满足0<Srxlev<Threshold_1_Sr，Squal是否满足第一Squal范围(0，Threshold_1_Sq)，即0<Squal<Threshold_1_Sq。如果满足其中至少一种判断条件，则可表示移动终端已经处于临近中断状态。如果两种判断条件都不满足，但Srxlev值和Squal值又均>0时，则可表示移动终端未处于临近中断状态，还处于服务正常状态。而如果Srxlev值和Squal值均<0，则可表示移动终端已处于服务中断状态。
作为另一种方式，移动终端也可以是根据一段时间的信号测量值变化情况，确定移动终端的网络服务状态。具体地，预设时间段可包括第一时间段和第二时间段。请参阅图6，步骤S220也可以包括：
步骤S221b：确定在当前时刻之前所述第一时间段内信号测量值的第一平均值。
步骤S222b：确定在当前时刻之前所述第二时间段内信号测量值的第二平均值。
在一些实施例中，由于信号可能波动比较大，导致预设时间段内的信号测量值非常不稳定，可能无法确定预设时间段内信号强度的变化趋势。因此，可以根据一段时间的平均信号强度的变化情况，来确定信号强度是否在逐渐衰弱。具体地，可以确定在当前时刻之前第一时间段内信号测量值的第一平均值，以及确定在当前时刻之前第二时间段内信号测量值的第二平均值，以根据第一平均值和第二平均值的变化情况，来确定信号强度是否在逐渐衰弱。其中，第一时间段和第二时间段的时间长度可以相等，且第二时间段可都晚于第一时间段，第一时间段和第二时间段的具体定义与上述预设时间段的定义类似，此处不再赘述。可以理解的是，当信号测量值包括多种类型的值时，也可以分别确定每种类型对应的第一平均值和第二平均值。
在一些实施例中，第一时间段和第二时间段可以是连续的时间段。作为一种方式，可以将上述预设时间段进行均分，以确定出第一时间段和第二时间段，也即第一时间段和第二时间段可以是上述预设时间段中的前半部分时间段和后半部分时间段。例如，若是固定时间长度的预设时间段5S时，第一时间段可为前2.5S，第二时间段可为后2.5S；若是固定测量次数20次所对 应的预设时间段时，第一时间段可为前10次所对应的预设时间段，第二时间段可为后10次所对应的预设时间段。在另一些实施例中，第一时间段和第二时间段也可以是不连续的时间段，如第一时间段可以是上述预设时间段中开始部分，第二时间段可以是上述预设时间段中结尾部分，第一时间段与第二时间段中间存在有时间间隔。具体的第一时间段和第二时间段在此并不作限定。
在一些实施例中，确定在当前时刻之前第一时间段内信号测量值的第一平均值，可以是获取第一时间段内所有信号测量值的测量值总和，然后获取该测量值总和与第一时间段的比值，作为第一时间段内信号测量值的第一平均值。也可以是获取第一时间段内信号测量值的测量总次数，然后获取该测量值总和与测量总次数的比值，作为第一时间段内信号测量值的第一平均值。在一些实施例中，由于第一时间段和第二时间段的时间长度相等，或者测量总次数相等，因此，也可以直接将测量值总和作为第一平均值。具体的第一平均值的确定方式在此并不作限定，仅需体现一段时间的信号强度情况即可。第二平均值的确定方式与第一平均值类似，此处不再赘述。
示例性地，在一个具体实施例中，移动终端可将上述数组或者链表中的RSRP数据和RSRQ数据一分为二，其中前半部分的数据为第一时间段的信号测量值，后半部分的数据为第二时间段的信号测量值。然后可分别计算RSRP数据中前半部分的第一平均值和后半部分的第二平均值，RSRQ数据中前半部分的第一平均值和后半部分的第二平均值。具体的计算公式可以为：
RSRP第一平均值＝(RSRP[0]+RSRP[1]+……+RSRP[Maximum/2-1])/Maximum*2；
RSRP第二平均值＝(RSRP[Maximum/2]+RSRP[Maximum/2+1]+……+RSRP[Maximum-1])/Maximum*2；
RSRQ第一平均值＝(RSRQ[0]+RSRQ[1]+……+RSRQ[Maximum/2-1])/Maximum*2；
RSRQ第二平均值＝(RSRQ[Maximum/2]+RSRQ[Maximum/2+1]+……+RSRQ[Maximum-1])/Maximum*2。
其中RSRP[n]、RSRQ[n]指数组或者链表中第n个RSRP、RSRQ，0≤n<Maximum。
步骤S223b：当所述第二平均值小于所述第一平均值且当前时刻的信号测量值满足第二范围，确定所述移动终端的网络服务状态为临近中断状态。
可以理解的是，当第二平均值小于第一平均值时，可表明预设时间段中前阶段的信号比后阶段的信号好，也即预设时间段内信号是阶段性衰弱的。同理地，与前述根据前后信号测量值的变化情况确定网络服务状态类似，仅根据且当前时刻的信号测量值满足第二范围，来确定网络服务状态，准确性不高。因此，在一些实施例中，还可以根据最新的信号测量值的大小情况，来进一步确定移动终端是否处于临近中断状态。具体地，可以是当第二平均值小于第一平均值且当前时刻的信号测量值满足第二范围时，确定移动终端的网络服务状态为临近中断状态。其中，第二范围的定义描述，以及当然时刻的信号测量值满足第二范围的相关描述可参阅第一范围，此处不在赘述。
可以理解的，也可以先通过确定当前时刻的信号测量值满足第二范围，再通过确定第二平均值小于第一平均值，来共同确定出当前移动终端处于临近中断状态，两种判断条件的确定先后顺序在此并不作限定。
示例性地，移动终端可以根据数组或者链表中最新RSRP和RSRQ值，分别计算Srxlev和Squal，并分别判断Srxlev是否满足第二Srxlev范围(0，Threshold_2_Sr)，即是否满足
0<Srxlev<Threshold_2_Sr，Squal是否满足第二Squal范围(0，Threshold_2_Sq)，即0<Squal<Threshold_2_Sq。其中，Threshold_2_Sr和Threshold_2_Sq为数值上限，其可以是相同的，也可以是不同的，具体的Threshold_2_Sr和Threshold_2_Sq可以根据实际情况进行合理设置，在此并不作限定。例如，Threshold_2_Sr可设为8(dB)，Threshold_2_Sq可设为3(dB)。
如果两种判断条件都不满足，则可以等收到新的测量结果值时再继续判断是否满足。如果满足其中至少一种判断条件，则可认为当前服务小区已经趋近于移动终端驻留的最低条件，然后再将上述数组或者链表中的RSRP数据和RSRQ数据一分为二，分别计算RSRP数据中前半部分的第一平均值和后半部分的第二平均值，RSRQ数据中前半部分的第一平均值和后半部分的第二平均值。当第二平均值小于第一平均值时，则可表示移动终端已经处于临近中断状态。当第二平均值不小于第一平均值时，则可表示移动终端未处于临近中断状态，还处于服务正常状态。
在一些实施例中，也可以根据第一平均值和第二平均值的差值情况，来确定阶段性的信号变化情况。具体地，请参阅图7，步骤S223b可以包括：
步骤S2231：确定所述第一平均值与所述第二平均值的差值。
步骤S2232：当所述差值满足第三范围且当前时刻的信号测量值满足第二范围，确定所述移动终端的网络服务状态为临近中断状态。
在一些实施例中，移动终端可以先确定上述第一平均值与第二平均值的差值，然后判断该差值是否满足第三范围。其中，第三范围是用于评估前后两阶段的信号测量值是否呈衰减趋势的判决门限。也就是说，如果第一平均值与第二平均值的差值满足该第三范围，可认为预设时间段内前后两阶段的信号测量值呈阶段性衰弱。可以理解的是，第三范围具体的上下限数值可以根据实际需求合理设置，此处不作限定。需要注意的是，由于第一平均值与第二平均值的差值满足第三范围时，信号是衰弱的，因此，第一平均值至少要大于第二平均值，第三范围的下限数值也即(即最小值)至少为0。
在一些实施例中，当信号测量值包括多种类型的值时，也可以分别确定每种类型对应的第三范围。示例性地，信号测量值包括RSRP值和RSRQ值两种类型时，第一平均值与所述第二平均值的差值满足第三范围，可以是：(RSRP第一平均值-RSRP第二平均值>Threshold_3_Sr)||(RSRQ第一平均值-RSRQ第二平均值>Threshold_3_Sq)。其中，Threshold_3_Sr和Threshold_3_Sq为数值下限，其可以是相同的，也可以是不同的，具体的Threshold_3_Sr和Threshold_3_Sq可以根据实际情况进行合理设置，在此并不作限定。例如，Threshold_3_Sr可设为0～5中的任意数值(dB)，Threshold_3_Sq可设为0～3中的任意数值(dB)。
通常地，移动终端发生OOS服务中断的场景模型主要分为两大类：一是快速陡降模式，二是缓慢降低模式。其中快速陡降模式是指移动终端信号强度或者信号质量从强信号快速降低至弱信号或者无信号(参阅图8)，一般发生在从信号较好区域进入无信号或者弱信号覆盖区域，如从外部广阔地带进入地下室或者电梯、隧道等等。而缓慢降低模式则是指移动终端信号强度或者信号质量从弱信号缓慢降低至更弱或者无信号(参阅图9)，一般发生在从信号较弱区域进入无信号或者极弱信号覆盖区域，如偏远农村地区或者山区等等。因此，在一些实施例中，可以根据上述前后信号测量值的变化的评估方式，来检测是否发生变化比较明显的快速抖降模式的临近中断状态判断，可以根据上述一段时间的阶段性变化的评估方式，来检测是否发生变化比较缓慢、不明显的缓慢降低模式的临近中断状态判断。可以理解是，由于快速抖降模式变化比较明显，因此也可以根据上述一段时间的阶段性变化，来检测变化比较明显的快速抖降模式的临近中断状态判断，此处不作限定。从而可以利用不同的Threshold值来适配不同的场景。
在一些实施例中，可以是上述两种评估方式一起判断，也即移动终端可根据不同的场景模式，对收集到的测量结果数据分别判断是否满足快速陡降模式的判断标准和缓慢降低模式的判断标准，从而只要存在一种标准满足就可以确定移动终端的网络服务状态为临近中断状态。例如，请参阅图10。
步骤S230：当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
在本申请实施例中，步骤S230可参阅前述实施例的相关描述，此处不再赘述。
本申请实施例提供的小区搜索方法，通过获取移动终端所驻留的服务小区，在当前时刻之前预设时间段内的的信号测量值，以根据该预设时间段内信号测量值的信号变化，确定移动终端的网络服务状态，并在确定出的网络服务状态为临近中断状态时，启动移动终端的小区搜索，以驻留到新的服务小区。其中，该临近中断状态为服务正常状态与服务中断状态之间的状态。从而可以根据在当前时刻之前预设时间段内的的信号变化，提前检测移动终端的网络服务是否即将进入服务中断状态，然后在检测到移动终端的网络服务即将进入服务中断状态时，触发小区搜索，以使移动终端能够尽快驻留到网络条件更好的新小区上，使得用户的各项基本业务能够不因服务中断而受到影响，提升了用户体验。
请参阅图11，图11示出了本申请又一个实施例提供的小区搜索方法的流程示意图。下面将针对图11所示的流程进行详细的阐述，所示小区搜索方法具体可以包括以下步骤：
步骤S310：获取移动终端所驻留的服务小区的信号测量值。
步骤S320：根据所述信号测量值，确定所述移动终端的网络服务状态。
在本申请实施例中，步骤S310和步骤S320可参阅前述实施例的内容，此处不再赘述。
步骤S330：当所述网络服务状态为临近中断状态时，根据在当前时刻之前指定时间段内的所述信号测量值，确定所述指定时间段内的信号变化斜率。
在一些实施例中，在确定出网络服务状态为临近中断状态时，移动终端可根据不同的信号变化趋势，做不同的避免中断处理操作，以适配不同的场景和达到更好的性能优化。具体地，当网络服务状态为临近中断状态时，移动终端可根据在当前时刻之前指定时间段内的信号测量值，确定指定时间段内的信号变化斜率，以根据信号变化斜率来确定对应的避免中断处理操作。其中，指定时间段可以是上述预设时间段，也可以是比上述预设时间段长或段的时间段，此处并不作限定。
作为一种实施方式，确定指定时间段内的信号变化斜率，可以是先获取指定时间段内的最早的信号测量值及对应的最早测量时间点，以及最晚的信号测量值及对应的最晚测量时间点，然后获取最早的信号测量值与最晚的信号测量值之间的测量差值，并获取最早测量时间点与最晚测量时间点之间的时间差值，然后获取测量差值与时间差值的比值，作为指定时间段内的信号变化斜率。
若指定时间段为固定时间长度的预设时间段，作为另一种实施方式，也可以获取上述测量差值与指定时间段的比值，作为指定时间段内的信号变化斜率。或者可以直接将测量差值作为信号变化斜率进行参考，因为时间长度固定，无参考意义。
可以理解的是，信号测量值包括多种类型的值时，也可以分别确定每种类型的信号测量值在指定时间段内的信号变化斜率。示例性，当信号测量值包括RSRP值和RSRQ值时，可以分别确定出指定时间段内RSRP值的信号变化斜率，和RSRQ值的信号变化斜率。
示例性地，信号测量值包括RSRP值和RSRQ值两种类型时，移动终端可分别计算RSRP值信号强度的信号变化斜率Krsrp_1和RSRQ值信号质量的信号变化斜率Krsrp_2，其计算方式可以是：
Krsrp_1＝(RSRP[0]–RSRP[Maximum-1])/(Time[Maximum-1]–Time[0])；
Krsrp_2＝(RSRQ[0]–RSRQ[Maximum-1])/(Time[Maximum-1]–Time[0])。
步骤S340：判断所述信号变化斜率是否大于斜率阈值。若是，则执行步骤S350；若否，则执行步骤S360。
步骤S350：根据第一策略，启动所述移动终端的小区搜索，其中，所述移动终端根据所述第一策略响应小区搜索的优先级高于响应对业务进行网络服务的优先级。
步骤S360：根据第二策略，启动所述移动终端的小区搜索，其中，所述移动终端根据所述第二策略响应小区搜索的优先级低于响应对业务进行网络服务的优先级。
在本申请实施例中，移动终端在获取到指定时间段内的信号变化斜率后，可根据信号变化斜率的大小，进行不同策略的小区搜索操作。从而实现根据不同的信号变化趋势做不同的避免中断处理操作，以适配不同的场景和达到更好的性能优化。具体地，移动终端可以判断信号变化斜率是否大于斜率阈值。当大于斜率阈值时，可根据第一策略，启动移动终端的小区搜索，其中移动终端根据第一策略响应小区搜索的优先级高于响应对业务进行网络服务的优先级。当不大于斜率阈值时，可根据第二策略，启动移动终端的小区搜索，其中移动终端根据第二策略响应小区搜索的优先级低于响应对业务进行网络服务的优先级。
在一些实施例中，斜率阈值可以理解为一种用于评估信号衰减变化快慢的判决门限，其可以预先存储移动终端内，也可以从网络终端发送的广播消息中获取，此处并不作限定。其数值也可以根据实际场景合理设置，此处也并不作限定。如可以设置1。
可以理解的是，当信号变化斜率大于斜率阈值时，说明信号衰减变化得很快，可认为移动终端很快会进入OOS状态，此时移动终端应该立即触发移动终端的小区搜索过程，以保证移动终端能尽早找到更好的小区进行驻留，且移动终端执行小区搜索任务的优先级较高，会优先于一般业务执行。而当信号变化较慢时，可认为移动终端虽然处于弱信号，但仍可持续一段时间，为了尽量少地减少对正常服务的影响，此时虽然也可触发移动终端的小区搜索过程，但移动终端执行小区搜索任务的优先级较低，即后台执行，其优先低于一般业务，可被一般业务打断。如可以是背景搜索。
在一些实施例中，当信号测量值包括多种类型的值时，也可以分别确定每种类型对应的斜率阈值。然后可以是只要存在一种类型的信号变化斜率大于其对应的斜率阈值时，就可确定信号衰减变化得很快；也可以是需要多个类型的信号变化斜率都大于其对应的斜率阈值时，才可 确定信号衰减变化得很快，该多个类型可以是全部类型，在此并不作限定。
示例性地，信号测量值包括RSRP值和RSRQ值两种类型时，可以是分别判断斜率Krsrp_1是否大于Threshold_4_Sr，斜率Krsrp_2是否大于Threshold_4_Sq，当斜率Krsrp_1和斜率Krsrp_2中任意一种满足上述条件时，都可确定信号变化斜率是否大于斜率阈值。即判断如下条件是否满足：Krsrp_1>Threshold_4_Sr||Krsrp_1>Threshold_4_Sq。其中，Threshold_4_Sr和
Threshold_4_Sq可以是相同的，也可以是不同的，具体的Threshold_4_Sr和Threshold_4_Sq可以根据实际情况进行合理设置，在此并不作限定。
在一些实施例中，移动终端执行小区搜索过程中，如果能找到更好的小区，则移动终端可驻留新小区并设置新小区为新的服务小区。也就是说，当搜索到信号强度和信号质量都比当前驻留的服务小区更好的目标小区时，可以控制移动终端从当前驻留的服务小区切换到目标小区进行驻留，也即将目标小区设置为新的服务小区，以在新的服务小区正常进行CS/PS业务，避免移动终端因进入OOS状态而影响基本通信业务正常进行。
示例性地，请参阅图12和图13，图12示出了本申请提供的一种小区搜索方法的主要流程图，图13示出了本申请提供的一种小区搜索方法的整体流程图。移动终端收集测量当前驻留的服务小区的信号测量值RSRP和RSRQ值并存储于数组或者链表中，然后判断数组或者链表中元素的数量是否达到Maximum，当达到Maximum时，移动终端进入OOS预估阶段。在进入OOS预估阶段后，移动终端可根据不同的场景模式，对收集到的测量结果数据分别判断是否满足快速陡降判断标准和缓慢降低判断标准。如果满足其中任一标准，都可确定移动终端当前处于临近OOS状态，此时移动终端可进入避免OOS阶段，以尽量保证在进入OOS状态之前，能尽快找到更好的小区进行驻留。
具体地，可先计算移动终端信号强度和信号质量的变化斜率K，然后根据斜率K的大小来判断是进入小区搜索过程还是背景搜索过程，也判断斜率K是否大于Threshold_4。如果满足条件，说明信号变化很快，移动终端将很快进入OOS，此时立即触发小区搜索过程，提前搜索周围是否有更好的小区可驻留，如果能找到更好的小区则驻留新小区并设置新小区为服务小区，如果不能找到其他更好的小区，则再次进入OOS预估阶段，等收到新的测量结果值时继续做临近OOS场景的判断。
如果不能满足条件，说明信号变化较慢，移动终端虽然处于弱信号，但仍可持续一段时间，为尽量少的减少对正常服务的影响，触发移动终端做背景搜索过程，提前搜索周围是否有更好的小区可驻留，如果能找到更好的小区则驻留新小区并设置新小区为服务小区，如果不能驻留，则继续触发新的小区搜索过程，直到驻留到新的信号好的小区上。最终，移动终端驻留在新的服务小区上，可以在新的服务小区正常进行CS/PS业务。
另外，在本申请实施例中，上述小区可以广义地理解为信号覆盖区。在一些实施例中，当本申请实施例提供的小区搜索方法，适用于蜂窝通信系统来实施时，上述小区可以理解为基站的信号所能覆盖的地理区域。在另一些实施例中，当本申请实施例提供的小区搜索方法，适用于其他各种无线传输技术上来实施时，例如WIFI信号，Bluetooth信号，Zigbee信号，以及Lora信号，Sigfox信号等，上述小区可以理解为WIFI、Bluetooth、Zigbee等无线传输模块的信号所能覆盖的地理区域。由于其都会涉及到信号衰减到中断的场景，因此都可以采用本申请提供的小区搜索方法，提前进行新的信号覆盖区搜索，以在移动终端进入服务中断状态之前，连接到更好的信号覆盖区。
本申请实施例提供的小区搜索方法，通过移动终端所驻留的服务小区的信号测量值，确定移动终端的网络服务状态，并在确定出的网络服务状态为临近中断状态时，可根据在当前时刻之前指定时间段内的信号测量值，确定指定时间段内的信号变化斜率，当信号变化斜率大于斜率阈值时，根据第一策略启动所述移动终端的小区搜索，以驻留到新的服务小区。其中，移动终端根据该第一策略响应小区搜索的优先级高于响应对业务进行网络服务的优先级；当信号变化斜率小于或等于斜率阈值时，根据第二策略启动所述移动终端的小区搜索，其中，移动终端根据该第二策略响应小区搜索的优先级低于响应对业务进行网络服务的优先级。从而移动终端可根据不同的信号变化趋势，执行不同的小区搜索策略，以适配不同的场景和达到更好的性能优化。
请参阅图14，其示出了本申请实施例提供的一种小区搜索装置700的结构框图，该小区搜索装置700包括：状态确定模块710以及搜索启动模块720。其中状态确定模块710用于根据移动 终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态；搜索启动模块720用于当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
在一些实施例中，状态确定模块710可以包括：近期信号判断单元，用于根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述移动终端的网络服务状态。
在一些实施例中，上述近期信号判断单元可以具体用于：根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述预设时间段内信号强度的变化趋势；当所述变化趋势为降低趋势且当前时刻的信号测量值满足第一范围，确定所述移动终端的网络服务状态为临近中断状态。
在一些实施例中，所述预设时间段可以包括第一时间段以及第二时间段，所述第二时间段晚于所述第一时间段，上述近期信号判断单元也可以包括：第一获取子单元，用于确定移动终端所驻留的服务小区在当前时刻之前所述第一时间段内信号测量值的第一平均值；第二获取子单元，用于确定所述服务小区在当前时刻之前所述第二时间段内信号测量值的第二平均值；参数比较子单元，用于当所述第二平均值小于所述第一平均值且当前时刻的信号测量值满足第二范围，确定所述移动终端的网络服务状态为临近中断状态。
在一些实施例中，上述参数比较子单元可以具体用于：确定所述第一平均值与所述第二平均值的差值；当所述差值满足第三范围且当前时刻的信号测量值满足第二范围，确定所述移动终端的网络服务状态为临近中断状态。
在一些实施例中，搜索启动模块720可以具体用于：当所述网络服务状态为临近中断状态时，根据在当前时刻之前指定时间段内的所述信号测量值，确定所述指定时间段内的信号变化斜率；当所述信号变化斜率大于斜率阈值时，根据第一策略，启动所述移动终端的小区搜索，其中，所述移动终端根据所述第一策略响应小区搜索的优先级高于响应对业务进行网络服务的优先级；当所述信号变化斜率小于或等于斜率阈值时，根据第二策略，启动所述移动终端的小区搜索，其中，所述移动终端根据所述第二策略响应小区搜索的优先级低于响应对业务进行网络服务的优先级。
在一些实施例中，小区搜索装置700还可以包括：小区切换模块，用于当搜索到目标小区时，控制所述移动终端从所述服务小区切换到所述目标小区进行驻留。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述装置和模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，模块相互之间的耦合可以是电性，机械或其它形式的耦合。
另外，在本申请各个实施例中的各功能模块可以集成在一个处理模块中，也可以是各个模块单独物理存在，也可以两个或两个以上模块集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。
综上所述，本申请实施例提供的小区搜索装置用于实现前述方法实施例中相应的小区搜索方法，并具有相应的方法实施例的有益效果，在此不再赘述。
请参考图15，其示出了本申请实施例提供的一种移动终端的结构框图。该移动终端100可以是笔记本电脑、智能手机、智能手表、智能眼镜等能够运行应用程序的移动终端。本申请中的移动终端100可以包括一个或多个如下部件：处理器110、存储器120以及一个或多个程序代码，其中，一个或多个程序代码可以被存储在存储器120中并被配置为由一个或多个处理器110执行，一个或多个程序代码配置用于执行如前述方法实施例所描述的方法。
处理器110可以包括一个或者多个处理核。处理器110利用各种接口和线路连接整个移动终端100内的各个部分，通过运行或执行存储在存储器120内的指令、程序、代码集或指令集，以及调用存储在存储器120内的数据，执行移动终端100的各种功能和处理数据。可选地，处理器110可以采用数字信号处理(Digital Signal Processing，DSP)、现场可编程门阵列(Field－Programmable Gate Array，FPGA)、可编程逻辑阵列(Programmable Logic Array，PLA)中的至少一种硬件形式来实现。处理器110可集成中央处理器(Central Processing Unit，CPU)、小区搜索器(Graphics Processing Unit，GPU)和调制解调器等中的一种或几种的组合。其中，CPU主要处理操作系统、用户界面和应用程序等；GPU用于负责显示内容的渲染和绘制；调 制解调器用于处理无线通信。可以理解的是，上述调制解调器也可以不集成到处理器110中，单独通过一块通信芯片进行实现。
存储器120可以包括随机存储器(Random Access Memory，RAM)，也可以包括只读存储器(Read-Only Memory)。存储器120可用于存储指令、程序、代码、代码集或指令集。存储器120可包括存储程序区和存储数据区，其中，存储程序区可存储用于实现操作系统的指令、用于实现至少一个功能的指令(比如触控功能、声音播放功能、图像播放功能等)、用于实现下述各个方法实施例的指令等。存储数据区还可以存储移动终端100在使用中所创建的数据(比如电话本、音视频数据、聊天记录数据)等。
可以理解，图15所示结构仅为示例，移动终端100还可以包括比图15所示更多或更少的组件，或是具有与图15所示完全不同的配置。本申请实施例对此没有限制。
请参考图16，其示出了本申请实施例提供的一种计算机可读存储介质的结构框图。该计算机可读存储介质800中存储有程序代码，所述程序代码可被处理器调用执行上述方法实施例中所描述的方法。
计算机可读存储介质800可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。可选地，计算机可读存储介质800包括非易失性计算机可读介质(non-transitory computer-readable storage medium)。计算机可读存储介质800具有执行上述方法中的任何方法步骤的程序代码810的存储空间。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。程序代码810可以例如以适当形式进行压缩。
本申请实施例还提供的一种芯片，该芯片可包括处理器和接口，处理器和接口相连。该处理器可通过接口获取程序指令，并用于运行该程序指令，以执行如前述方法实施例所描述的方法。
其中，处理器可以是具有信息处理能力的硬件电路、或者软件指令，或者硬件和软件的结合。在实现过程中，上述方法的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。接口可以完成数据、指令或者信息的发送或者接收，处理器可以利用接口接收的数据、指令或者其它信息，进行处理，也可以将处理完成信息通过接口发送出去。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不驱使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (20)

  1. 一种小区搜索方法，其特征在于，所述方法包括：
    根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态；
    当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
  2. 根据权利要求1所述的方法，其特征在于，所述根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态，包括：
    根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述移动终端的网络服务状态。
  3. 根据权利要求2所述的方法，其特征在于，所述根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述移动终端的网络服务状态，包括：
    根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述预设时间段内信号强度的变化趋势；
    当所述变化趋势为降低趋势且当前时刻的信号测量值满足第一范围时，确定所述移动终端的网络服务状态为临近中断状态。
  4. 根据权利要求3所述的方法，其特征在于，所述根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述预设时间段内信号强度的变化趋势，包括：
    根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，生成所述信号测量值的变化曲线；
    根据所述变化曲线的走势，确定所述预设时间段内信号强度的变化趋势。
  5. 根据权利要求3所述的方法，其特征在于，所述根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述预设时间段内信号强度的变化趋势，包括：
    将移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，按照时间先后顺序进行排列，获得所述信号测量值的排列结果；
    根据所述信号测量值的排列结果，确定所述预设时间段内信号强度的变化趋势。
  6. 根据权利要求2-5任一项所述的方法，其特征在于，所述预设时间段包括第一时间段以及第二时间段，所述第二时间段晚于所述第一时间段，所述根据移动终端所驻留的服务小区在当前时刻之前预设时间段内的信号测量值，确定所述移动终端的网络服务状态，包括：
    确定移动终端所驻留的服务小区在当前时刻之前所述第一时间段内信号测量值的第一平均值；
    确定所述服务小区在当前时刻之前所述第二时间段内信号测量值的第二平均值；
    当所述第二平均值小于所述第一平均值且当前时刻的信号测量值满足第二范围时，确定所述移动终端的网络服务状态为临近中断状态。
  7. 根据权利要求6所述的方法，其特征在于，所述当所述第二平均值小于所述第一平均值且当前时刻的信号测量值满足第二范围时，确定所述移动终端的网络服务状态为临近中断状态，包括：
    确定所述第一平均值与所述第二平均值的差值；
    当所述差值满足第三范围且当前时刻的信号测量值满足第二范围时，确定所述移动终端的网络服务状态为临近中断状态。
  8. 根据权利要求1-7任一项所述的方法，其特征在于，所述预设时间段为固定时间长度的时间段。
  9. 根据权利要求1-7任一项所述的方法，其特征在于，所述预设时间段为固定测量次数的时间段。
  10. 根据权利要求1-9任一项所述的方法，其特征在于，所述当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，包括：
    当所述网络服务状态为临近中断状态时，根据在当前时刻之前指定时间段内的所述信号测量值，确定所述指定时间段内的信号变化斜率；
    当所述信号变化斜率大于斜率阈值时，根据第一策略，启动所述移动终端的小区搜索，其 中，所述移动终端根据所述第一策略响应小区搜索的优先级高于响应对业务进行网络服务的优先级。
  11. 根据权利要求1-10任一项所述的方法，其特征在于，所述当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，包括：
    当所述网络服务状态为临近中断状态时，根据在当前时刻之前指定时间段内的所述信号测量值，确定所述指定时间段内的信号变化斜率；
    当所述信号变化斜率小于或等于所述斜率阈值时，根据第二策略，启动所述移动终端的小区搜索，其中，所述移动终端根据所述第二策略响应小区搜索的优先级低于响应对业务进行网络服务的优先级。
  12. 根据权利要求10或11所述的方法，其特征在于，所述根据在当前时刻之前指定时间段内的所述信号测量值，确定所述指定时间段内的信号变化斜率，包括：
    确定在当前时刻之前指定时间段内的最早的信号测量值及对应的最早测量时间点，以及最晚的信号测量值及对应的最晚测量时间点；
    确定所述最早的信号测量值与所述最晚的信号测量值之间的测量差值；
    确定所述最早测量时间点与所述最晚测量时间点之间的时间差值；
    根据所述测量差值与所述时间差值的比值，确定所述指定时间段内的信号变化斜率。
  13. 根据权利要求1-12任一项所述的方法，其特征在于，在所述当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索之后，所述方法还包括：
    当搜索到目标小区时，控制所述移动终端从所述服务小区切换到所述目标小区进行驻留。
  14. 根据权利要求1-13任一项所述的方法，其特征在于，所述信号测量值存储于固定长度的数组或链表中，所述方法还包括：
    当所述数组或链表存储的所述信号测量值的数目达到所述固定长度且获取到新的信号测量值时，删除所述数组或链表中最先存储的所述信号测量值。
  15. 根据权利要求1-14任一项所述的方法，其特征在于，所述信号测量值包括参考信号接收质量RSRQ。
  16. 根据权利要求1-15任一项所述的方法，其特征在于，所述信号测量值包括参考信号接收功率RSRP。
  17. 一种小区搜索装置，其特征在于，所述装置包括：
    状态确定模块，用于根据移动终端所驻留的服务小区的信号测量值，确定所述移动终端的网络服务状态；
    搜索启动模块，用于当所述网络服务状态为临近中断状态时，启动所述移动终端的小区搜索，所述临近中断状态为服务正常状态与服务中断状态之间的状态。
  18. 一种芯片，其特征在于，所述芯片包括处理器和接口，所述处理器通过所述接口获取程序指令，所述处理器用于运行所述程序指令，以执行如权利要求1-16任一项所述的方法。
  19. 一种移动终端，其特征在于，包括：
    一个或多个处理器；
    存储器；
    一个或多个程序代码，其中所述一个或多个程序代码被存储在所述存储器中并被配置为由所述一个或多个处理器执行，所述一个或多个程序代码配置用于执行如权利要求1-16任一项所述的方法。
  20. 一种计算机可读取存储介质，其特征在于，所述计算机可读取存储介质中存储有程序代码，所述程序代码可被处理器调用执行如权利要求1-16任一项所述的方法。
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