CN115426675A

CN115426675A - Network measurement method, device, terminal and computer readable storage medium

Info

Publication number: CN115426675A
Application number: CN202211008172.4A
Authority: CN
Inventors: 闫晓鹏
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2022-08-22
Filing date: 2022-08-22
Publication date: 2022-12-02

Abstract

The embodiment of the application discloses a network measurement method, a network measurement device, a terminal and a computer readable storage medium, which can reasonably plan the measurement filtering behavior of the terminal and reduce the power consumption of the terminal on the basis of ensuring the measurement precision. The method comprises the following steps: performing at least one physical layer measurement according to the measurement period to obtain at least one physical layer measurement result corresponding to the at least one physical layer measurement; and filtering the at least one physical layer measurement result once or twice according to the radio resource control state to obtain a network measurement result.

Description

Network measurement method, device, terminal and computer readable storage medium

Technical Field

The present application relates to the field of wireless communications technologies, and in particular, to a network measurement method, an apparatus, a terminal, and a computer-readable storage medium.

Background

Currently, when a terminal performs network measurement, current scheduling measurement is usually completed through a physical layer of the terminal, and after a physical layer measurement value is obtained, the physical layer measurement value is transmitted to an L1 layer; performing filtering combination on the L1 layer in a mode of obtaining a physical layer measurement value for averaging through multiple scheduling measurements or Infinite Impulse Response (IIR) filtering to obtain a filtering result of the L1 layer; and the L1 layer reports the L1 filtering result to a high-level L3 layer, filtering is carried out on the L3 layer based on the reported L1 layer filtering result, and the final network measurement result reported to the network is determined based on the L3 layer filtering result.

At present, the scheme of network measurement for the terminal needs to be further optimized.

Disclosure of Invention

The embodiment of the application provides a network measurement method, a network measurement device, a terminal and a computer readable storage medium, which can reduce the power consumption of the terminal.

The technical scheme of the application is realized as follows:

the embodiment of the application provides a network measurement method, which comprises the following steps:

performing at least one physical layer measurement according to a measurement period to obtain at least one physical layer measurement result corresponding to the at least one physical layer measurement;

and filtering the at least one physical layer measurement result once or twice according to the radio resource control state to obtain a network measurement result.

An embodiment of the present application provides a network measurement apparatus, including:

a measurement unit, configured to perform at least one physical layer measurement according to a measurement period to obtain at least one physical layer measurement result corresponding to each of the at least one physical layer measurement;

and the filtering unit is used for filtering the at least one physical layer measurement result once or twice according to the radio resource control state to obtain a network measurement result.

An embodiment of the present application provides a terminal, including:

a memory for storing executable instructions;

and the processor is used for realizing the network measurement method provided by the embodiment of the application when executing the executable instructions stored in the memory.

The embodiment of the present application provides a computer-readable storage medium, which stores executable instructions for causing a processor to implement the network measurement method provided by the embodiment of the present application when executed.

Embodiments of the present application provide a computer program product, which includes a computer program or instructions, and when the computer program or instructions are executed by a processor, the computer program or instructions implement the network measurement method provided in embodiments of the present application.

An embodiment of the present application provides a chip, including a processor and a memory, wherein: the memory is used for storing a computer program; the processor is configured to run the computer program and execute the network measurement method provided by the present application.

The embodiment of the application provides a network measurement method, a network measurement device, a terminal and a computer readable storage medium. Because the times of the physical layer measurement carried out by the terminal in different radio resource control states are different, the quantity of at least one physical layer measurement result is also different; for example, the interval of the physical layer measurement is longer in the idle state, and the physical layer measurement result is less, so the network measurement result can be obtained through one filtering. According to the embodiment of the application, the filtering mode can be flexibly adjusted based on the wireless resource control state of the terminal, and the filtering times are correspondingly reduced when the corresponding measurement results of the wireless resource control state are less, so that the power consumption waste is reduced, and the power consumption of the terminal is reduced.

Drawings

Fig. 1 is a schematic diagram of an exemplary communication system architecture provided in an embodiment of the present application;

fig. 2 is a process diagram of a measurement filtering method provided in the related art;

fig. 3 is an alternative flowchart of a network measurement method according to an embodiment of the present disclosure;

fig. 4 is a schematic diagram of measurement interaction signaling between a terminal and a network device according to an embodiment of the present application;

fig. 5 is a schematic diagram of rrc state switching according to an embodiment of the present application;

fig. 6 is an alternative flowchart of a network measurement method according to an embodiment of the present disclosure;

fig. 7 is an alternative flowchart of a network measurement method according to an embodiment of the present disclosure;

fig. 8 is a schematic diagram illustrating a DRX cycle composition according to an embodiment of the present application;

fig. 9 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 10 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 11 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 12 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 13 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 14 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 15 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 16 is an alternative flowchart of a network measurement method according to an embodiment of the present application;

fig. 17 is a schematic process diagram of a measurement filtering method according to an embodiment of the present application;

fig. 18 is a schematic flowchart illustrating a network measurement method applied to an actual scene according to an embodiment of the present application;

fig. 19 is a schematic structural diagram of a network measurement apparatus according to an embodiment of the present application;

fig. 20 is a schematic structural diagram of a terminal according to an embodiment of the present application.

Detailed Description

In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

In the following description, references to the terms "first \ second \ third" are only to distinguish similar objects and do not denote a particular order or importance, but rather "first \ second \ third" may, where permissible, be interchanged in a particular order or sequence so that embodiments of the present application described herein can be practiced in other than the order shown or described herein.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.

Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be used for the following explanation.

1) Mobility management refers to a process in which a terminal reports its location to the network side, provides a terminal identification, and maintains a physical channel. In an Evolved universal mobile telecommunications Access Network (E-UTRAN) system, mobility management is divided into two major categories, namely a connected state and an idle state, according to a connection state of Radio Resource Control (RRC). In the connected mobility management, when the terminal moves in the connected state, the mobile network provides a smooth physical channel for the terminal by switching, so that continuous user experience is ensured. In the mobility management in the idle state, the terminal reports its location to the network side, and an evolved NodeB (eNB or eNodeB) issues related configuration information through a system broadcast message, according to which the terminal selects a suitable cell to camp on and receive service.

2) Additive White Gaussian Noise (Additive White Gaussian Noise, AWGN): additive White Gaussian Noise (AWGN) is a mathematical model used to simulate the channel between a transmitter and a receiver. This model is a linearly increasing broadband noise with constant spectral density and gaussian distributed amplitude.

3) Reference Signal Received Power (RSRP), a linear average of the resource element Power contribution of the carrying cell-specific Reference signal over the considered measurement bandwidth.

4) The Reference Signal Received Quality (RSRQ) carrier Received signal strength indication contains a linear average of all Received powers over the reference symbol of antenna port 0 over the considered measurement bandwidth N RBs.

5) The Gap is measured. The measurement interval Gap is a time period from the terminal leaving the current frequency point to the measurement of other frequency points, and the measurement interval Gap is used for the different frequency measurement and the different system measurement. In general, a terminal has only one receiver, and it is possible to receive signals at only one frequency point at the same time. In inter-frequency and inter-system measurements, the terminal only performs measurements during the measurement interval Gap. When the inter-frequency or inter-system measurement needs to be performed, the eNodeB will issue the relevant configuration of the measurement interval Gap, and the terminal will start the measurement interval Gap according to the configuration instruction of the eNodeB.

Referring to fig. 1, a schematic diagram of an exemplary architecture of a communication system provided in an embodiment of the present application is shown. As shown in fig. 1, a mobile communication system provided in the embodiment of the present application includes a network device and a terminal, and a communication connection is established between the terminal and the network device. Optionally, the terminal and the network device may establish a communication connection through a mobile communication technology such as the third Generation Partnership project (3 rd Generation Partnership project,3 gpp), the fourth Generation, or the fifth Generation, and the communication connection manner of the terminal and the network device is not limited in the embodiments of the present application.

In some embodiments, the Network device may also be referred to as an Access Network device, and the Network device may be a Base Transceiver Station (BTS) in a Global System for Mobile Communications (GSM) System or a Code Division Multiple Access (CDMA) System, a Base Station (NodeB, NB) in a Wideband Code Division Multiple Access (WCDMA) System, an eNodeB in a Long Term Evolution (LTE) System, a Radio controller in a Cloud Radio Access Network (CRAN) scenario, or a Network device in a relay Station, an Access point, a vehicle-mounted device, a wearable device and a 5G Network or a Network device in a future Evolution Public Land Mobile Network (PLMN) Network, for example, a Network device in a New Network System (NB), a New Network device (NB), a New Network panel (NR), or the like, and the Network device may be a Base Station (BTS) in a Global System for Mobile Communications (GSM) System or a Code Division Multiple Access (CDMA) System, or a Radio Network System. The embodiment of the present application is not particularly limited to this.

In some embodiments, a terminal can be a User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a User terminal, a wireless communication device, a User agent, or a User device. The access terminal may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with Wireless communication function, a computing device or other processing device connected to a Wireless modem, a vehicle-mounted device, a wearable device, a drone device, a terminal device in a 5G network or a terminal device in a PLMN for future evolution, and the like, which is not limited in the embodiments of the present application.

In general, a plurality of network devices may exist near a terminal, the terminal may select a cell to camp on according to a service quality value (e.g., signal quality) of a cell in which each network device is located, the service quality values of the cells in which different network devices are located may differ, and the terminal generally camps on a cell with better service quality. As shown in fig. 1, it is assumed that there are three network devices, which are a network device 1, a network device 2, and a network device 3, respectively, and a terminal resides in a cell 1 where the network device 1 is located, at this time, the cell 1 is a serving cell of the terminal, both the cell 2 where the network device 2 is located and the cell 3 where the network device 3 is located are adjacent to the cell 1, that is, the cell 2 and the cell 3 are adjacent cells (also referred to as "adjacent cells") of the cell 1. For mobility management of the terminal, in an idle state or a connected state, reselection or handover of the terminal, such as reselection or handover from a currently camped cell 1 to a cell 2, may be caused due to a change in cell service quality or a location of the terminal. The above reselection and handover processes are implemented by performing event decision on the measurement result of the signal of the network device based on the terminal.

Currently, the measurement of the terminal is divided into two types, one is a time-triggered periodic measurement, and the other is a measurement triggered by a measurement event issued by the network side. When the terminal performs the above two types of measurement behaviors, the terminal goes through three processes as shown in fig. 2: measurement of the physical layer, filter combining of layer 1 (L1 layer), and filtering of layer 3 (L3 layer). The physical layer is used for transmitting the bit stream of the bottom layer, the L1 layer is used for controlling the transmission of the bit stream transmitted by the physical layer, and the L3 layer is used for analyzing the signaling sent by the network side and sending a control instruction to the L1 layer and the physical layer based on the analyzed signaling. When the terminal receives and analyzes the measurement period configured by the network device through the L3 layer, the terminal may schedule the physical layer to perform at least one measurement through at least one scheduling period configured by the L1 layer in each measurement period, and filter and combine at least one measurement result to obtain a measurement result reported to the network device. Point a in fig. 2 represents at least one measurement value obtained when the physical layer of the terminal performs at least one measurement under the scheduling of the L1 layer. And the L1 layer filters and combines at least one measured value of the physical layer to obtain a filtering result of the L1 layer at the point B and reports the filtering result to the L3 layer. And when the measurement report is triggered, the L3 layer filters at least one L1 layer filtering result reported by the L1 layer to obtain an L3 layer filtering result at the point C. Furthermore, the terminal can obtain a final measurement result reported to the network device based on the L3 layer filtering result, and perform measurement reporting.

The term "filtering" may be understood as data filtering, which refers to filtering at least one data obtained by data measurement to reduce or remove error data, redundant data, measurement noise caused by a measurement environment, and the like, thereby improving data quality. Here, the at least one data may be at least one measurement value at the point a, or at least one L1-layer filtering result at the point B. Wherein, the filtering of the L1 layer is used for eliminating the influence of fast fading on the measurement result; and the filtering of the L3 layer is used for performing smooth filtering on shadow fading and a small amount of fast fading burrs, so that better measurement data is provided for event judgment. "merging" may be understood as merging the filtered at least one data into one total data.

It can be seen that, in the above process, how to better filter and combine at least one measurement value of the physical layer will affect the measurement result finally reported to the network device and various event (event) triggers based on the reported measurement result, thereby affecting the performance of the terminal. However, the current protocol only defines that the network device informs the terminal of the filter coefficient of the L3 layer through RRC signaling; and, requirements for measurement performance of the AWGN channel are defined, such as absolute accuracy and relative accuracy, etc. For the actual measurement process, the protocol only gives the definition of the measurement period (measured period) when the measurement is performed under the measurement interval (Gap) or under the non-measurement interval Gap (non-Gap), and the like, and does not define the specific constraint conditions for the measurement process of the physical layer and the L1 layer, and does not define the specific constraint conditions for the L3 layer filtering mode, so in the related art, the filtering parameter of the L1 layer, the filtering combination mode of the L1 layer, the filtering mode of the L3 layer, and the like are all implemented by the terminal itself, and thus, in the measurement process of the related art, the measurement and the filtering of each layer are performed independently by a fixed measurement method or a filtering method. In contrast, when the terminal is in an idle state and a connected state, the measurable resources and the measured measurement data are greatly different, and the following defects can be caused by performing physical layer measurement and filtering on the terminal in different radio resource control states by using the same fixed processing method: 1. when the physical layer measurement data measured by the terminal in an idle state is less, the L1 layer and the L3 layer still adopt the inherent complex filtering algorithm, so that redundant filtering power consumption is generated, and the power consumption of the terminal is improved; 2. when the measurement resources in the connection state are rich, the frequency of the physical layer measurement scheduling is higher than the measurement precision requirement, and unnecessary measurement scheduling is generated, so that the power consumption of the terminal is improved; 3. the filtering mode of the L1 layer is not matched with the numerical precision of the measurement result of the physical layer, or the filtering mode of the L3 layer is not matched with the numerical precision of the measurement result of the L1 layer, for example, under the condition of higher numerical precision, a filtering algorithm or a filtering coefficient with lower precision is used, so that the filtering precision and the precision of the final measurement result are reduced; or, under the condition of low numerical precision, a filtering algorithm or a filtering coefficient with high precision is used, so that the algorithm complexity is improved, and the terminal power consumption is increased.

The embodiment of the application provides a network measurement method, which can perform filtering once or twice on a measurement result of a physical layer based on a current radio resource control state of a terminal, such as a connection state or an idle state, so that the characteristics of measurement behavior characteristics and measured measurement data of the terminal in different states are combined, a corresponding filtering combination method is selected for filtering combination, waste of terminal power consumption can be reduced, and terminal power consumption can be reduced.

Embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that the execution subject of the embodiment of the present application is a network measurement device or a terminal integrated with the device.

The embodiment of the application provides a network measurement method, which can be applied to a terminal shown in fig. 1. Referring to the flow diagram of the network measurement method shown in fig. 3, the method may include S101-S102, as follows:

s101, performing at least one physical layer measurement according to the measurement period to obtain at least one physical layer measurement result corresponding to the at least one physical layer measurement.

The embodiments of the present application are applied to a measurement scenario in a mobile communication system, including but not limited to a measurement scenario in a mobile communication system such as 3GPP, 3GPP LTE-a (LTE-Advanced), 3GPP fifth generation (5G), or New Radio (NR).

In some embodiments, a measurement interaction procedure between a terminal and a network device in a mobile communication system may be as shown in fig. 4, including: 1) Measurement configuration: after the terminal and the network device establish a radio bearer, the network device, such as an eNB, issues measurement configuration information to the terminal through an RRC reconfiguration message (RRCConnectionReconfiguration), that is, the network device issues measurement control, such as initiating or modifying measurement, to the terminal. 2) Performing measurement: and the terminal executes the measurement task according to the measurement configuration information in the RRC reconfiguration message and measures the current service cell or the current service cell and the adjacent cell thereof. 3) And (3) measurement and reporting: when a measurement report reporting event is triggered, the terminal fills a measurement result into a measurement report (e.g., measurementReport message) and sends the measurement report to the eNB.

In some embodiments, the measurement period of the terminal may be obtained from measurement configuration information issued by the network device. In some embodiments, the measurement configuration information may further include: measurement objects, measurement items, cell lists, reporting modes, event parameters, and the like.

In the embodiment of the application, the terminal performs at least one physical layer measurement according to a measurement period issued by the network device, and obtains one or more physical layer measurement results corresponding to each measurement period by performing one or more physical layer measurements in each measurement period, so that at least one physical layer measurement result corresponding to each at least one physical layer measurement is obtained by at least one physical layer measurement.

In some embodiments, the physical layer measurement result may include at least one of RSRP and RSRQ, or may include other values according to the configuration of the measurement item, which is specifically selected according to the actual situation, and the embodiment of the present application is not limited thereto.

In some embodiments, the terminal includes a physical layer, a control layer (equivalent to layer 1 in fig. 2, i.e., L1 layer), and a signaling layer (equivalent to layer 3 in fig. 2, i.e., L3 layer). The terminal analyzes a measurement control signaling issued by the network equipment through the L3 layer, schedules the physical layer through the L1 layer according to measurement configuration information such as a measurement period, a measurement item and a measurement object in the analyzed measurement control signaling, so that in the measurement period, the physical layer responds to the scheduling of the L1 layer in each scheduling period, and performs measurement based on the measurement configuration information such as the measurement item of the measurement object to obtain a physical layer measurement result corresponding to each scheduling period; and measuring one or more physical layer measurement results corresponding to each measurement period through one or more scheduling periods in each measurement period.

Illustratively, the measurement period may be 200ms, and the scheduling period of 20ms is characterized by a sampling period of 200ms, and the physical layer measurement is performed every 20ms.

And S102, filtering the at least one physical layer measurement result once or twice according to the radio resource control state to obtain a network measurement result.

In this embodiment, according to the radio resource control state of the terminal, the measurement on the terminal may include: measurement in an IDLE state (RRC _ IDLE) and measurement in a CONNECTED state (RRC _ CONNECTED). In some embodiments, the radio resource control state switching of the terminal may be as shown in fig. 5. Illustratively, the terminal and the network device initially establish a radio bearer, and when data interaction has not started, the terminal is in an idle state and does not occupy dedicated network resources. The terminal in an idle state performs cell selection and reselection, monitors a paging channel, and acquires system information. When the terminal receives the paging on the network and responds to the paging, or the terminal user actively activates the service, the terminal is switched from the idle state to the connected state, and the network equipment allocates the special network resource for the terminal, so that the terminal performs service data interaction in the connected state. And when the service is finished or the network equipment issues the non-activation instruction, the terminal returns to the idle state from the connection state. That is, the terminal may determine that it is in an idle state or a connected state by analyzing signaling interacting with the network device.

Illustratively, after the terminal completes the camping in a certain cell and interacts with the network equipment for signaling of completing the camping, the terminal determines to enter the idle state. In idle state, the terminal may wake up periodically (every 1.28 s), detect whether a paging signaling sent by the network device is received, if the paging signaling is received, start signaling interaction in the random access process, determine that the current radio resource control state is a connection state, otherwise, continue to maintain the idle state.

In some embodiments, the radio resource control state of the terminal may further include an INACTIVE state (RRC _ INACTIVE). The network resources allocated to the terminal in the idle state and the inactive state are different from the network resources allocated in the connected state, and the measurement purpose is also different. Wherein the measurements under RRC _ IDLE and RRC _ INACTIVE serve for cell reselection; the measurements under RRC _ CONNECTED serve handover.

In the embodiment of the application, the terminal carries out one or two times of filtering on at least one physical layer measurement result obtained by physical layer measurement according to the current radio resource control state to obtain a network measurement result. Here, the network measurement result is a measurement result reported to the network device by the terminal.

In some embodiments, as shown in fig. 6, S102 may be implemented by performing S201 as follows:

s201, under the condition that the wireless resource control state is an idle state or an inactive state, filtering at least one physical layer measurement result for the first time to obtain a network measurement result.

In the embodiment of the present application, the measurement of the terminal in the idle state or the inactive state is mainly used for cell reselection. When the terminal resides in one cell, the terminal can measure the signal quality grade of the adjacent cell according to the cell reselection rule in an idle state or an inactive state, and evaluate the cells with different priorities according to different reselection rules based on the measurement result, and further judge the reselection event based on the evaluation result, thereby realizing cell reselection.

In S201, when the radio resource control state is an idle state or an inactive state, the terminal performs a relatively small number of physical layer measurements, and the number of at least one physical layer measurement result is relatively small, and the terminal may perform primary filtering on at least one physical layer measurement result obtained by measurement when a measurement report event is triggered, to obtain a network measurement result, so as to save terminal resources and reduce power consumption.

In some embodiments, as shown in fig. 7, S102 may be implemented by performing S301 as follows:

s301, carrying out primary filtering on at least one physical layer measurement result to obtain a network measurement result under the condition that the radio resource control state is an idle state or an inactive state, and the wakeup interval of the idle state or the inactive state is greater than or equal to a preset wakeup interval threshold.

In the embodiment of the application, the terminal performs primary filtering on at least one physical layer measurement result to obtain a network measurement result under the condition that the radio resource control state is an idle state and the wake-up interval in the idle state is greater than or equal to a preset wake-up interval threshold.

In the embodiment of the application, the terminal performs primary filtering on at least one physical layer measurement result to obtain a network measurement result under the condition that the radio resource control state is an inactive state and the wake-up interval in the inactive state is greater than or equal to a preset wake-up interval threshold.

In the embodiment of the present application, since the transmission of the data stream in the network is usually bursty, for example, there is data transmission in a period of time, but there is no data transmission in the next longer period of time. Therefore, when the terminal is in an idle state or an inactive state, the terminal can monitor a user data channel, such as a paging channel and a broadcast channel, in an awakening period through intermittent awakening to determine whether a paging message exists; and the channel is not monitored in the sleep period, and the terminal enters a sleep mode, so that the power consumption of the terminal is reduced, and the service time of a battery is prolonged. That is, the measurement of the terminal in the idle state or the inactive state is performed in the intermittent wake-up period.

In some embodiments, the terminal may periodically alternate between the sleep state and the awake state in the idle state or the inactive state using a Discontinuous Reception (DRX) mechanism. As shown in fig. 8, one DRX cycle may be equal to the sum of the awake time and the sleep time. The DRX cycle may be obtained by an RRC message, illustratively, by a data item MAC-mainconfiguration of a RadioResourceConfigDedicated cell in an RRC connection setup (RRCConnectionSetup), or an RRC connection reconfiguration (RRCConnectionReconfiguration), or an RRC connection reestablishment message (RRCConnectionReestablishment).

In the embodiment of the present application, in an idle state or an inactive state, a terminal needs to complete one or more physical layer measurements corresponding to each measurement period as much as possible in an awake period, and perform event decision in the idle state or the inactive state based on a measurement result, such as an S criterion for cell reselection. In each measurement period, compared to the connected state, the idle state or the inactive state, the interval between scheduling periods of the L1 layer to the physical layer, that is, the interval of each physical layer measurement is significantly longer, the protocol requires that the physical layer measurement in the idle state or the inactive state is separated by at least DRX/2 periods, so the terminal generally schedules one or two physical layer measurements along with each DRX period. In some embodiments, the terminal may determine the DRX cycle as the wake-up interval.

In some embodiments, for the current measurement period, if the terminal is in the idle state or the inactive state and the wake-up interval in the idle state or the inactive state, such as the DRX period, is greater than or equal to the preset wake-up interval threshold, it indicates that the wake-up interval in the idle state or the inactive state of the terminal is longer, and therefore the number of the measured physical layer measurement results in the measurement period is smaller. In the L1 layer, the terminal does not filter and combine one or more physical layer measurement results reported by the physical layer in the current measurement period, and directly reports the results to the L3 layer. And under the condition that the measurement reporting event is not triggered, the terminal carries out one or more times of physical layer scheduling in the next measurement period to obtain one or more physical layer measurement results corresponding to the next measurement period, if the condition that the terminal is in an idle state or an inactive state and the awakening interval in the idle state or the inactive state is greater than or equal to a preset awakening interval threshold value is still met, the terminal continues to directly report the physical layer measurement results to the L3 layer until the measurement reporting event is triggered, and at least one physical layer result reported by the L1 layer in at least one measurement period is subjected to primary filtering and merging through the L3 layer to obtain a network measurement result.

In some embodiments, the number of at least one measurement period may depend on the capability of the terminal and/or a preset physical layer measurement accuracy, and the like, and the embodiments of the present application are not limited thereto.

In some embodiments, the preset wake interval threshold may be greater than or equal to the measurement period. The setting may also be performed according to actual situations, such as comprehensively considering factors of measurement accuracy and power consumption, and the embodiment of the present application is not limited.

It should be noted that, for the case of one filtering as shown in fig. 6 or fig. 7, in the above S201 and S301, the terminal may average at least one physical layer measurement result through the signaling control layer (i.e., L3 layer), so as to obtain a network measurement result.

Here, when a measurement reporting event is triggered, the terminal filters and combines at least one physical layer measurement result directly reported by the L1 layer in at least one measurement period in an average manner through the L3 layer, so as to obtain a network measurement result.

In some embodiments, the terminal may determine, according to a preset selection policy, a part or all of physical layer measurement results from at least one physical measurement layer result as target physical layer measurement results, filter and combine the target physical layer measurement results through the L3 layer, and exemplarily average the target physical layer measurement results to obtain the network measurement results.

It can be understood that, when the radio resource control state is an idle state, and the awake interval in the idle state is greater than or equal to the preset awake interval threshold, it indicates that the interval for performing each physical layer measurement in the idle state by the terminal is longer, and the number of at least one physical layer measurement result is smaller, so that at least one physical layer measurement result can be filtered once to obtain the network measurement result. Therefore, the filtering times can be correspondingly reduced when the measuring results are less, the power consumption waste is reduced, and the terminal power consumption is reduced.

In some embodiments, as shown in fig. 9, S102 may be implemented by performing S401 as follows:

s401, under the condition that the radio resource control state is an idle state or an inactive state and the wake-up interval in the idle state or the inactive state is smaller than a preset wake-up interval threshold, filtering at least one physical layer measurement result twice to obtain a network measurement result.

In the embodiment of the application, when the radio resource control state is an idle state and the wake-up interval in the idle state is smaller than a preset wake-up interval threshold value; or, when the radio resource control state is an inactive state and the awake interval in the inactive state is smaller than the preset awake interval threshold, it indicates that the interval at which the terminal performs each physical layer measurement in the idle state or the inactive state is shorter, and the number of at least one measured physical layer is larger. And when a measurement reporting event is triggered, the terminal carries out twice filtering on at least one physical layer measurement result obtained by measurement to obtain a network measurement result. Therefore, the error or redundant data in the physical layer measurement result is further removed through the second filtering, and the accuracy of the network measurement result is improved.

In some embodiments, for a current measurement cycle, when the terminal is in an idle state or an inactive state, and an awake interval in the idle state or the inactive state, such as a DRX cycle, is smaller than a preset awake interval threshold, the terminal performs, through an L1 layer, first filtering and combining on one or more physical layer measurement results reported by a physical layer in the current measurement cycle, to obtain an intermediate filtering result corresponding to the current measurement cycle, and reports the intermediate filtering result to an L3 layer. And under the condition that a measurement reporting event is not triggered, the terminal carries out one or more times of physical layer scheduling in the next measurement period to obtain one or more physical layer measurement results corresponding to the next measurement period, if the condition that the terminal is in an idle state or an inactive state and the awakening interval in the idle state or the inactive state is smaller than a preset awakening interval threshold value is still met, the terminal carries out first filtering combination on the one or more physical layer measurement results corresponding to the next measurement period to obtain an intermediate filtering result corresponding to the next measurement period and reports the intermediate filtering result to the L3 layer until the measurement reporting event is triggered, and carries out second filtering combination on at least one intermediate filtering result reported by the L1 layer in at least one measurement period through the L3 layer to obtain a network measurement result.

In some embodiments, as shown in fig. 10, S102 may be implemented by performing S501 as follows:

s501, under the condition that the wireless resource control state is a connection state, filtering at least one physical layer measurement result twice to obtain a network measurement result.

In the embodiment of the application, when the radio resource control state is the connection state, the terminal measurement behavior is more frequent, and the network device configures more network resources for the terminal, so that the measurable network resources are richer, and therefore, the number of at least one physical layer measurement result obtained by measurement is larger. And the terminal carries out twice filtering on at least one physical layer measurement result to obtain a network measurement result.

In some embodiments, in each measurement period, the terminal filters and combines one or more physical layer measurement results obtained by measurement in the measurement period through the L1 layer to obtain an intermediate filtering result corresponding to each measurement period, and reports the intermediate filtering result to the L3 layer. And when a measurement reporting event is triggered, the terminal performs second filtering combination on at least one intermediate filtering result corresponding to at least one measurement period through the L3 layer to obtain a network measurement result.

It can be understood that, according to the radio resource control state of the terminal itself, under the condition that the radio resource control state is an idle state or an inactive state, and the wakeup interval in the idle state or the inactive state is smaller than the preset wakeup interval threshold; or, under the condition that the radio resource control state is a connection state, filtering at least one physical layer measurement result twice to obtain a network measurement result, thereby realizing flexible adjustment of a filtering mode, and adopting a filtering mode twice under the condition that the physical layer measurement results reported by the physical layer are more to improve the precision of the network measurement result.

In some embodiments, in the case of obtaining the network measurement result, the terminal may determine a measurement event based on the network measurement result, for example, determine whether a threshold for cell reselection in an idle state is satisfied according to the network measurement result, and perform cell reselection if the threshold is satisfied; or judging whether the threshold of cell switching under the connection state is met according to the network measurement result, and carrying out cell switching under the meeting condition.

It can be understood that, the terminal performs one or two filtering operations on at least one physical layer measurement result obtained according to the measurement period according to the radio resource control state of the terminal, so as to obtain a network measurement result. The number of times of the physical layer measurement carried out by the terminal under different radio resource control states is different, and the number of at least one physical layer measurement result is also different; for example, the interval of the physical layer measurement is longer in the idle state, and the physical layer measurement result is less, so the network measurement result can be obtained through one filtering. According to the embodiment of the application, the filtering mode can be flexibly adjusted based on the wireless resource control state of the terminal, and the filtering times are correspondingly reduced when the corresponding measurement results of the wireless resource control state are less, so that the power consumption waste is reduced, and the power consumption of the terminal is reduced. Or, under the condition that the physical layer has more physical layer measurement results reported by the physical layer, a filtering mode is adopted twice to improve the accuracy of the network measurement results.

In some embodiments, based on fig. 9 or fig. 10, as shown in fig. 11, for the case of two filtering, the terminal performs two filtering on at least one physical layer measurement result according to the radio resource control state, and the process of obtaining the network measurement result may be implemented by performing S601-S604 as follows:

s601, determining a scheduling period of at least one physical layer measurement according to the radio resource control state.

In this embodiment of the present application, for each measurement period in at least one measurement period, the terminal may determine, according to the current radio resource control state, a scheduling period in which one or more physical layer measurements are performed in the measurement period, so as to determine the scheduling period of at least one physical layer measurement. Here, the scheduling period refers to a time interval at which the terminal schedules a physical layer to perform physical measurement through the L1 layer. And the terminal performs at least one physical layer measurement in the measurement period according to the scheduling period to obtain at least one physical layer measurement result.

In some embodiments, based on fig. 11, as shown in fig. 12, S601 may be implemented by any one of S6011, or S6012-S6013, as follows:

s6011, determining a scheduling period according to an awake interval in an idle state or an inactive state when the rrc state is in the idle state or the inactive state.

In the embodiment of the present application, at least DRX/2 periods are required to be measured by the physical layer in the idle state or the inactive state based on the above protocol, and when the terminal is in the idle state or the inactive state, the terminal may determine a scheduling period according to an awake interval in the idle state or the inactive state, such as a DRX period, based on a relationship between an interval of the physical layer measurement in the idle state or the inactive state and the DRX period, which is specified by the protocol, so as to perform the physical layer measurement according to the scheduling period.

S6012, determining whether the number of resources to be measured in the measurement period satisfies a predetermined measurement accuracy condition when the radio resource control state is the connection state.

In the embodiment of the present application, when the radio resource control state is a connected state, it is described that the network device configures more network resources for the terminal, and the terminal can measure more resources in a measurement period. Therefore, under the condition of meeting the preset measurement precision condition, the terminal can reduce the frequency of scheduling physical layer measurement as much as possible so as to reduce the power consumption. Here, the Resource characterization terminal to be measured measures available channel resources, such as Physical Resource Blocks (PRBs), synchronization Signal Blocks (SSBs), and the like, and specifically selects the available channel resources according to actual situations, which is not limited in the embodiment of the present application.

In some embodiments, for the NR system, the Measurement period may be an SSB-based radio resource management Measurement Configuration (SMTC) period, and the SMTC period may be obtained from signaling sent by the network device. The resource under test may be an SSB. The preset measurement accuracy condition may include a minimum number of times that the measurement is performed within the measurement period. The terminal can obtain the number of the resources to be measured in the measurement period by utilizing the ratio of the SMTC period to the SSB transmission frequency, and further determine whether the number of the resources to be measured meets the preset measurement precision condition. Here, the preset measurement accuracy condition may be set according to actual conditions, and the embodiment of the present application is not limited.

For example, if the SSB transmission frequency is one SSB transmission every 20ms, 10 resources to be measured can be determined in a measurement period of 200 ms. And the preset measurement accuracy condition on the terminal can be that 5 times of measurement is carried out in 200ms, so that the number of the resources to be measured in the measurement period can be determined to be enough to meet the preset measurement accuracy condition. That is, the terminal measures 5 SSBs out of the 10 SSBs within 200ms, which can meet the requirement of the preset measurement accuracy. The scheduling period can be appropriately lengthened and the measurement can be performed through 5 times of physical layer measurement scheduling in 200 ms.

S6013, under the condition of being met, determining a scheduling period based on the second parameter.

In the embodiment of the application, the terminal may determine the scheduling period based on the second parameter under the condition that the number of the resources to be measured in the measurement period meets the preset measurement precision condition.

In some embodiments, the second parameter characterizes a time parameter corresponding to the measurement execution. Illustratively, the second parameter may include at least one of: a network device configured measurement Gap (Gap), a multicarrier measurement Scaling Factor (CCSF), and a measurement period.

For example, in a case that the number of resources to be measured in the measurement period meets a preset measurement accuracy condition, the terminal may determine the scheduling period according to a measurement Gap configured by the network device and a measurement-allowed time period represented by the measurement Gap. Or, under the condition that the network equipment is configured with the multi-carrier CCSF, determining a scheduling period according to the measurement scale of the multi-carrier; for example, when the number of multiple carriers is large, the duration of the scheduling period is increased to ensure that the measurement on multiple carriers can be completed in one scheduling period.

It can be understood that, in the connected state, under the condition that the number of resources to be measured in the measurement period meets the preset measurement precision condition, the terminal can flexibly adjust the scheduling period of the physical layer measurement based on the second parameter, thereby realizing the balance of the measurement precision and the power consumption, reducing unnecessary measurement scheduling on the basis of ensuring the measurement precision, and reducing the power consumption of the terminal.

And S602, determining a filter coefficient of the first filtering according to the scheduling period.

In the embodiment of the application, the larger the value of the filter coefficient is, the stronger the smoothing effect on the signal is, the stronger the anti-fading capability is, but the weaker the tracking capability on the signal change is. The terminal can adjust the preset filter coefficient configured based on the fixed scheduling period based on the scheduling period actually measured by the physical layer and determined by the radio resource control state, and determine the filter coefficient more suitable for the actual scheduling period.

In some embodiments, based on fig. 11 or fig. 12, as shown in fig. 13, S602 may be implemented by performing S6021-S6023 as follows:

s6021, acquiring a preset filter coefficient; the preset filter coefficient corresponds to a preset scheduling period.

In this embodiment, the preset filter coefficient may be a filter coefficient that is set by the terminal based on a preset scheduling period, or a preset filter coefficient that is issued by the network device to the terminal based on the preset scheduling period.

And S6022, determining a down-sampling value corresponding to the scheduling period based on the ratio of the scheduling period to the preset scheduling period.

In the embodiment of the present application, the scheduling period may be determined based on the correlation method in fig. 12. The terminal can calculate the ratio of the current actual scheduling period to the preset scheduling period, and determine the down-sampling value corresponding to the scheduling period based on the ratio.

In the embodiment of the application, since the scheduling period for actually performing the physical layer measurement on the terminal may be obtained by adjusting the second parameter, the predetermined scheduling period is down-sampled with the purpose of reducing power consumption on the basis of ensuring the accuracy. Therefore, the terminal determines the down-sampling value corresponding to the scheduling period based on the ratio of the scheduling period to the preset scheduling period, and can further adjust the preset filter coefficient corresponding to the preset scheduling period based on the down-sampling value, so that the filter coefficient can be adaptively updated according to the actual scheduling period.

Illustratively, the predetermined scheduling period is 20ms, and the actual scheduling period adjusted on the basis of ensuring the accuracy is 40ms, and then the down-sampling value is 40ms/20ms =2.

And S6023, adjusting the preset filter coefficient according to the down-sampling value to obtain the filter coefficient of the first filtering.

In the embodiment of the application, for different filtering algorithms, the terminal can adjust the preset filtering coefficients of the different filtering algorithms according to the down-sampling value to obtain the filtering coefficients corresponding to the different filtering algorithms.

Taking first-order IIR filtering as an example, the terminal adjusts the preset filter coefficient according to the down-sampling value, and the obtained filter coefficient may be as shown in formula (1), as follows:

α＝1-(1-α_base) ^k (1)

in formula (1), 1 is a preset adjustment coefficient, α _ base is a preset filter coefficient, k is a down-sampling value, and α is a filter coefficient. The terminal determines a first difference value 1-alpha _ base of a preset adjusting coefficient and a preset filtering coefficient and a down sampling value power (1-alpha _ base) of the first difference value through a formula (1) ^k (ii) a And taking the difference value of the preset adjusting coefficient and the power of the down-sampling value of the first difference value as a filtering coefficient.

For example, the preset filter coefficient may be 0.5, and the down-sampling value k is 2, then the filter coefficient obtained by the adaptive calculation method based on the scheduling period provided in the embodiment of the present application may be 1- (1-0.5) ² ＝0.75。

In some embodiments, S602 may also be implemented by performing S6024 or S6025 as follows:

s6024, when the scheduling period is greater than a preset first period threshold, taking a first filter coefficient corresponding to the preset first period threshold as a filter coefficient of the first filtering; the first filter coefficient is determined by presetting a down-sampling value corresponding to a first period threshold value.

In the embodiment of the application, for the condition that the actual scheduling period is greater than the maximum value of the preset scheduling period interval, that is, greater than the preset first period threshold, the terminal may directly use the first filter coefficient corresponding to the preset first period threshold as the filter coefficient corresponding to the scheduling period, that is, the filter coefficient of the first filtering, so as to further simplify the filtering process and reduce the power consumption of the terminal. Here, the first filter coefficient is determined by presetting a down-sampled value corresponding to the first period threshold.

S6025, when the scheduling period is greater than the preset second period threshold, taking a second filter coefficient corresponding to the preset second period threshold as a filter coefficient; the second filter coefficient is determined by presetting a down-sampling value corresponding to a second period threshold.

In the embodiment of the application, for the case that the actual scheduling period is smaller than the minimum value of the preset scheduling period interval, that is, smaller than the preset second period threshold, the terminal may directly use the second filter coefficient corresponding to the preset second period threshold as the filter coefficient corresponding to the scheduling period, so as to further simplify the filtering process and reduce the power consumption of the terminal.

Here, the second filter coefficient is determined by presetting a down-sampling value corresponding to the second period threshold; the preset second period threshold is smaller than the preset first period threshold.

Illustratively, the preset first period threshold may be period1, such as 200ms, and the preset second period threshold may be period2, such as 20ms. When the scheduling period is greater than period1, using the same filter coefficient as period 1; when the scheduling period is less than period2, the same filter coefficient as period2 is used.

S603, according to the filter coefficient of the first filtering, performing first filtering and merging on at least one physical layer measurement result to obtain at least one intermediate filtering result.

In the embodiment of the application, under the condition that the measurement of each measurement period is completed, the terminal filters and combines one or more physical layer measurement results corresponding to each measurement period through the L1 layer and the filter coefficient of the first filtering, so as to obtain an intermediate filter result corresponding to each measurement period and report the intermediate filter result to the L3 layer. And under the condition that the measurement reporting condition is not met, the terminal continues to carry out physical layer measurement in the next measurement period and filtering and combining the measurement results of the physical layers until the measurement reporting condition is met to obtain at least one intermediate filtering result, namely the L3 layer can receive the at least one intermediate filtering result reported by the L1 layer.

In this embodiment, in each measurement period, the terminal may filter, by using a filter coefficient, each physical layer measurement result in the one or more physical layer measurement results corresponding to each measurement period through the L1 layer to obtain one or more initial filtering results corresponding to the one or more physical layer measurement results. And the terminal selects part or all of the initial filtering results from one or more initial filtering results to be combined through the L1 layer based on a preset combination and selection strategy to obtain an intermediate filtering result corresponding to each measuring period.

In some embodiments, when the filtering algorithm of the L1 layer is a first-order IIR filter, S603 may be implemented by the following process:

determining, for each of the one or more physical layer measurements, a previous initial filtering result for each physical layer measurement; the former initial filtering result is an initial filtering result obtained by filtering the former physical layer measuring result of each physical layer measuring result; weighting the previous initial filtering result by using the difference value between the preset coefficient and the filtering coefficient to determine a first weighted value; weighting each physical layer measurement result by using the current filter coefficient to determine a second weighted value; and determining an initial filtering result corresponding to each physical layer measurement result by combining the first weighting value and the second weighting value, thereby obtaining one or more initial filtering results corresponding to one or more physical layer measurement results. And the terminal combines one or more initial filtering results to obtain an intermediate filtering result corresponding to each measuring period.

For example, the process of filtering each physical layer measurement result by using the filter coefficient to obtain the initial filtering result corresponding to each physical layer measurement result may be as shown in equation (2), as follows:

F _n ＝(1-α)*F _n-1 +α*M _n (2)

in formula (2), α is a filter coefficient; m _n For physical layer measurement results, F _n-1 For the previous initial filtering result, F _n Is M _n Corresponding initial filtering results.

It should be noted that, in some embodiments, the terminal may further determine, in combination with the data accuracy of at least one physical layer measurement result, a filtering algorithm for the first filtering, that is, a filtering algorithm used by the L1 layer; and then, filtering and combining at least one physical layer measurement result by using a filtering algorithm to obtain at least one intermediate filtering result. In the method, the filtering algorithm used by the L1 layer can be adaptively matched according to different data accuracies of the measurement result of the physical layer, so that the power consumption of the terminal is reduced on the basis of ensuring the measurement accuracy. The filtering algorithm may include performing weighted average according to a time sequence of a filtering object, or using IIR filtering or FIR filtering, and the like, which is specifically selected according to an actual situation, and the embodiment of the present application is not limited.

S604, carrying out secondary filtering and combination on at least one intermediate filtering result to obtain a network measurement result.

In the embodiment of the application, when the measurement reporting condition is met, the terminal performs second filtering and merging on at least one intermediate filtering result to obtain a network measurement result. Here, satisfying the measurement reporting condition includes: the measurement reporting event comprises the following steps: a measurement reporting period is reached or a measurement event is satisfied. Wherein, meeting the measurement event means that the measurement result meets the requirement of the measurement event; illustratively, cells whose quality of service satisfies a handover or reselection are measured. The measurement report period is a period in which the terminal reports the network measurement result to the network side periodically. Illustratively, the measurement reporting period includes: a cell initial selection period and a cell reselection period. It is understood that the measurement reporting period includes at least one measurement period.

In some embodiments, the terminal may determine the measurement report period according to the time of cell reselection in an idle state. Illustratively, the terminal may determine that the measurement report period is reached when a time from start to time-out of a cell Selection timer, such as a cell initial Selection timer T _ Selection _ timer or a cell ReSelection timer T _ ReSelection _ timer, expires in an idle state.

In some embodiments, based on any of fig. 11-13, as shown in fig. 14, S604 may be implemented by performing the process of S6041-S6042 as follows:

and S6041, determining a third parameter.

And S6042, averaging based on at least one intermediate filtering result under the condition that the third parameter is smaller than the preset time threshold, and obtaining a network measurement result.

In the embodiment of the present application, the third parameter represents a time parameter corresponding to a measurement reporting condition. In some embodiments, the third parameter includes, but is not limited to, at least one of a cell selection event period, a cell reselection event period, and an event reporting period.

In the embodiment of the present application, when the third parameter is smaller than the preset time threshold, it indicates that the time of the measurement reporting period is shorter, and accordingly, the number of obtained intermediate filtering results in the measurement reporting period is smaller. The terminal directly averages at least one intermediate filtering result to obtain a network measuring result, and a complex filtering algorithm is not needed to be used, so that the power consumption is reduced.

In some embodiments, based on fig. 14, as shown in fig. 15, after S6041, the network measurement result may also be obtained by performing the process of S6043, as follows:

and S6043, performing impulse response filtering on at least one intermediate filtering result to obtain a network measurement result under the condition that the third parameter is greater than or equal to the preset time threshold.

In this embodiment, when the third parameter is greater than or equal to the preset time threshold, it indicates that the number of intermediate filtering results in the measurement report period is large, and the terminal may filter at least one intermediate filtering result according to an Impulse Response filtering algorithm, such as first-order IIR filtering or Finite Impulse Response (FIR) filtering, to obtain a network measurement result.

Illustratively, the third parameter may be a TimeToTrigger parameter issued by the network device. And when the TimeToTrigger is smaller than the preset time threshold _ TTT, the L3 layer filters the filtering results of the L1 layers in an average mode. And when the TimeToTrigger is smaller than the preset time threshold _ TTT, the L3 layer filters the filtering results of the L1 layers in a first-order IIR filtering mode.

It can be understood that, in the embodiment of the present application, by selecting a corresponding filtering manner according to the third parameter at the L3 layer, filtering and combining results at the L1 layer, that is, filtering in an average manner may be directly utilized when there are fewer intermediate filtering results, filtering in an algorithm may be utilized to ensure accuracy when there are more intermediate filtering results, and further, power consumption of the terminal may be reduced on the basis of ensuring measurement accuracy.

In some embodiments, based on any of fig. 3, 6, 7, 9 or 10, as shown in fig. 16, S101 may be implemented by performing the processes of S1011-S1012 as follows:

s1011, determining a first parameter; the first parameter characterizes physical channel information to be measured.

In the embodiment of the present application, for each measurement period, when a physical layer on a terminal performs measurement under scheduling of an L1 layer, a first parameter, that is, information representing a physical channel to be measured is obtained. And predicting the value range of the measurement data based on the first parameter so as to select a physical layer measurement algorithm.

In some embodiments, the first parameter may include: at least one of bandwidth information, parameter estimation information, and historical signal-to-noise ratio; the parameter estimation information is obtained by estimating the value range according to the historical physical layer measurement result of the historical scheduling period of the current scheduling period; the historical signal-to-noise ratio is measured in the historical scheduling period.

Here, the bandwidth information may be obtained from measurement configuration information issued by the network device. For example, the bandwidth information may be allowedMeasBandwidth information in the measurement configuration information, which represents an allowed measurement bandwidth, and is generally configured by the network device on an intra-frequency cell selection parameter or a inter-frequency list and sent to the terminal. The historical scheduling period may be a previous scheduling period of the current scheduling period, or may include any one or more scheduling periods before the current scheduling period, which is specifically selected according to an actual situation, and the embodiment of the present application is not limited.

For example, for the current scheduling period, the physical layer may estimate, according to the RSRP or RSRQ value measured in the previous scheduling period, a numerical range of RSRP or RSRQ data in the current scheduling period as the parameter estimation information. The terminal can perform measurement of the current scheduling period by adopting physical measurement algorithms with different complexities preset in a physical layer according to different value ranges represented by the parameter estimation information.

S1012, determining a physical layer measurement algorithm according to the first parameter; and according to the measurement period, performing at least one physical layer measurement by using a physical layer measurement algorithm to obtain at least one physical layer measurement result.

In the embodiment of the application, the terminal determines a physical layer measurement algorithm according to a first parameter; exemplarily, when the numerical precision of the data of the physical layer channel represented by the first parameter is high, a physical layer measurement algorithm with high complexity is determined to ensure the precision of a physical layer measurement result; and when the numerical precision of the data of the physical layer channel represented by the first parameter is low, determining a physical layer measurement algorithm with low complexity to save power consumption.

The terminal measures in the current scheduling period by using a physical measurement algorithm to obtain a physical layer measurement result corresponding to the current scheduling period, and performs the same processing in the next scheduling period to obtain one or more physical layer measurement results corresponding to one or more physical layer measurements in each measurement period, so as to obtain at least one physical layer measurement result corresponding to at least one measurement period when the measurement reporting condition is met.

It can be understood that, in the embodiment of the present application, the terminal may flexibly adjust the algorithm complexity of the physical layer measurement according to the first parameter representing the channel parameter, thereby saving the terminal power consumption on the basis of ensuring the measurement accuracy, and achieving the balance between the measurement accuracy and the performance of the terminal. In some embodiments, based on the above embodiments, the terminal may further perform event decision evaluation on the obtained network measurement result and the non-filtered measurement result, and determine an event decision result, so as to complete measurement event decision processing. Based on fig. 2, as shown in fig. 17. In fig. 17, C is the network measurement result, and C' is the unfiltered measurement result obtained by the terminal through measurement. Illustratively, the non-filtered measurement may include at least one of a Signal to Interference plus Noise Ratio (SINR) and a Channel Quality Indicator (CQI). And the terminal evaluates the event judgment conditions such as A1-A5 events, cell reselection events and the like by combining the non-filtering measurement result based on the network measurement result to determine the event judgment result at the point D.

In some embodiments, the network measurement method provided in the embodiments of the present application may be as shown in fig. 18. Due to the obvious difference of the measurement characteristics in different scene states, the terminal first distinguishes whether the current RRC state is in an idle state or a connected state when performing the measurement. If the terminal is in an idle state, when the DRX Period is greater than a preset awakening interval threshold value Thres _ DRX _ Period, the L1 layer can choose not to process the instantaneous measurement value reported by the physical layer and directly report the instantaneous measurement value to the L3 layer; in the L3 layer, after the cell Selection timer T _ Selection _ timer is triggered, the physical layer measurement result directly reported by the L1 layer is averaged within this time (measurement report period) as the evaluation condition of the event. Here, when performing measurement, the physical layer may determine a specific physical layer measurement algorithm to be used according to a first parameter in the parameter set, such as bandwidth information, parameter estimation information, SINR information, and the like, so as to ensure that the physical layer can obtain accurate measurement values under different channel conditions.

As shown in fig. 18, if the terminal is in the connected state, the preset scheduling period of the L1 layer is adjusted according to the second parameter in the parameter set, such as Gap, CCSF, measurement period delivered by the network side, and the like, to determine the actual scheduling period. And then determining a filter coefficient based on the scheduling period of the L1 layer, and filtering one or more physical layer measurement results reported by the physical layer in each measurement period by using the filter coefficient to obtain an intermediate filter result corresponding to each measurement period.

When the measurement reporting condition is met, for example, when a measurement reporting period is reached, the L3 layer on the terminal selects the mode of carrying out averaging or first-order IIR filtering on the L3 layer according to a third parameter, such as timer parameters of T-Reselection, timeToTrigger and the like, and carries out filtering based on at least one intermediate filtering result of at least one measurement period in the measurement reporting period to obtain a filtering result of the L3 layer as a network measurement result.

It can be understood that, in the embodiment of the present application, a cross-layer joint measurement scheme is designed in combination with measurement characteristics of each layer, so that measurement accuracy and measurement complexity are balanced, more scenes are covered, a measurement result is ensured to be more reliable, power consumption can be reduced on the basis of meeting measurement accuracy requirements, and robustness of a system scheme is improved.

In another embodiment of the present application, based on the same inventive concept as that in the foregoing embodiment, the present application further provides a network measurement apparatus, which may be integrated in the terminal in the foregoing embodiment. Referring to fig. 19, it shows a schematic diagram of a component structure of a network measurement apparatus 1 provided in an embodiment of the present application, including:

a measurement unit 11, configured to perform at least one physical layer measurement according to a measurement period to obtain at least one physical layer measurement result corresponding to each of the at least one physical layer measurement;

a filtering unit 12, configured to perform one or two filtering operations on the at least one physical layer measurement result according to the radio resource control state, so as to obtain a network measurement result.

In some embodiments, the filtering unit 12 is further configured to perform a filtering operation on the at least one physical layer measurement result to obtain the network measurement result when the radio resource control state is an idle state or an inactive state.

In some embodiments, the filtering unit 12 is further configured to, when the radio resource control state is an idle state or an inactive state, and a wake-up interval in the idle state or the inactive state is greater than or equal to a preset wake-up interval threshold, perform primary filtering on the at least one physical layer measurement result to obtain the network measurement result.

In some embodiments, the filtering unit 12 is further configured to, when the radio resource control state is an idle state or an inactive state, and a wake-up interval in the idle state or the inactive state is smaller than a preset wake-up interval threshold, filter the at least one physical layer measurement result twice to obtain the network measurement result.

In some embodiments, the filtering unit 12 is further configured to, in a case that the radio resource control state is a connected state, filter the at least one physical layer measurement result twice to obtain the network measurement result.

In some embodiments, the filtering unit 12 is further configured to average the at least one physical layer measurement result through a signaling control layer to obtain the network measurement result.

In some embodiments, the filtering unit 12 is further configured to determine a scheduling period of the at least one physical layer measurement according to the radio resource control state; determining a filter coefficient of the first filtering according to the scheduling period; according to the filter coefficient of the first filtering, performing first filtering and combination on the at least one physical layer measurement result to obtain at least one intermediate filtering result; and carrying out secondary filtering and merging on the at least one intermediate filtering result to obtain the network measurement result.

In some embodiments, the filtering unit 12 is further configured to, when the radio resource control state is an idle state or an inactive state, determine the scheduling period according to a wake-up interval in the idle state or the inactive state; determining whether the number of the resources to be measured in the measurement period meets a preset measurement precision condition or not under the condition that the radio resource control state is a connection state; if the first parameter is satisfied, determining the scheduling period based on a second parameter; the second parameter characterizes a time parameter corresponding to the measurement execution.

In some embodiments, the second parameter comprises: at least one of a measurement interval configured by the network device, a multi-carrier measurement adjustment factor, and the measurement period.

In some embodiments, the filtering unit 12 is further configured to obtain a preset filtering coefficient; the preset filter coefficient corresponds to a preset scheduling period; determining a down-sampling value corresponding to the scheduling period based on the ratio of the scheduling period to the preset scheduling period; and adjusting the preset filter coefficient according to the down-sampling value to obtain the filter coefficient of the first filtering.

In some embodiments, the filtering unit 12 is further configured to determine a first difference value between a preset adjustment coefficient and the preset filtering coefficient, and a power of a down-sampled value of the first difference value; and taking the difference value of the preset adjusting coefficient and the power of the down-sampling value of the first difference value as the filter coefficient of the first filtering.

In some embodiments, the filtering unit 12 is further configured to, when the scheduling period is greater than a preset first period threshold, use a first filter coefficient corresponding to the preset first period threshold as the filter coefficient for the first filtering; the first filter coefficient is determined by a down-sampling value corresponding to the preset first period threshold; when the scheduling period is greater than a preset second period threshold, taking a second filter coefficient corresponding to the preset second period threshold as a filter coefficient of the first filtering; the second filter coefficient is determined by a down-sampling value corresponding to the preset second periodic threshold; the preset second period threshold is smaller than the preset first period threshold.

In some embodiments, the filtering unit 12 is further configured to determine a third parameter; averaging based on the at least one intermediate filtering result to obtain the network measurement result under the condition that the third parameter is smaller than a preset time threshold; and the third parameter represents a time parameter corresponding to the measurement reporting condition.

In some embodiments, the third parameter comprises: at least one of a cell selection event period, a cell reselection event period, and an event reporting period.

In some embodiments, the filtering unit 12 is further configured to perform impulse response filtering on the at least one intermediate filtering result to obtain the network measurement result when the third parameter is greater than or equal to a preset time threshold.

In some embodiments, the measurement unit 11 is further configured to determine a first parameter; the first parameter represents physical channel information to be measured; determining a physical layer measurement algorithm according to the first parameter; and according to the measurement period, performing at least one physical layer measurement by using the physical layer measurement algorithm to obtain at least one physical layer measurement result.

In some embodiments, the first parameter comprises: at least one of bandwidth information, parameter estimation information, and historical signal-to-noise ratio; the parameter estimation information is obtained by estimating the value range according to the historical physical layer measurement result of the historical scheduling period; and the historical signal-to-noise ratio is the signal-to-noise ratio measured in the historical scheduling period.

In some embodiments, the filtering unit 12 is further configured to determine a filtering algorithm for the first filtering according to the data accuracy of the at least one physical layer measurement result; and performing first filtering on the at least one physical layer measurement result by using the filtering algorithm to obtain an intermediate filtering result.

It should be noted that the above description of the embodiment of the apparatus, similar to the above description of the embodiment of the method, has similar beneficial effects as the embodiment of the method. For technical details not disclosed in the embodiments of the apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.

In some embodiments, the embodiments of the present application further provide a terminal, and fig. 20 is an optional structural schematic diagram of the electronic device provided in the embodiments of the present application. As shown in fig. 20, the terminal 2 includes: a memory 22 and a processor 23. Wherein, the memory 22 and the processor 23 are connected through a communication bus 24; a memory 22 for storing executable instructions; the processor 23 is configured to execute the executable instructions stored in the memory 22 to implement the method provided in the embodiment of the present application, for example, the network measurement method provided in the embodiment of the present application.

Embodiments of the present application provide a computer-readable storage medium storing executable instructions, which, when executed by a processor, cause the processor to perform the network measurement method provided by the embodiments of the present application.

In some embodiments, the computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash, magnetic surface memory, optical disk, or CD-ROM; or may be various devices including one or any combination of the above memories.

Embodiments of the present application provide a chip, which may include a processor and a memory, where the memory may store a computer program, and the processor may execute the computer program in the memory, thereby performing a method provided by embodiments of the present application. Illustratively, the chip may be a baseband chip, a System On Chip (SOC), a modem (modem), or other chip with network detection function.

In some embodiments, the executable instructions may be in the form of a program, software module, script, or code written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, and it may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

By way of example, executable instructions may, but need not, correspond to files in a file system, and may be stored in a portion of a file that holds other programs or data, such as in one or more scripts stored in a hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).

By way of example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, and improvement made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims

1. A network measurement method, comprising:

2. The method of claim 1, wherein the filtering the at least one physical layer measurement one or two times according to the rrc state to obtain a network measurement comprises:

and under the condition that the radio resource control state is an idle state or an inactive state, performing primary filtering on the at least one physical layer measurement result to obtain the network measurement result.

3. The method of claim 1, wherein the filtering the at least one physical layer measurement one or two times according to the rrc state to obtain a network measurement comprises:

and under the condition that the radio resource control state is an idle state or an inactive state and the awakening interval in the idle state or the inactive state is greater than or equal to a preset awakening interval threshold value, performing primary filtering on the at least one physical layer measurement result to obtain the network measurement result.

4. The method of claim 1, wherein the filtering the at least one physical layer measurement one or two times according to the rrc state to obtain a network measurement comprises:

and under the condition that the radio resource control state is an idle state or an inactive state and the awakening interval in the idle state or the inactive state is smaller than a preset awakening interval threshold value, filtering the at least one physical layer measurement result twice to obtain the network measurement result.

5. The method of claim 1, wherein the filtering the at least one physical layer measurement one or two times according to the rrc state to obtain a network measurement comprises:

and under the condition that the radio resource control state is a connection state, filtering the at least one physical layer measurement result twice to obtain the network measurement result.

6. The method of any of claims 1-3, wherein filtering the at least one physical layer measurement comprises:

and averaging the at least one physical layer measurement result through a signaling control layer to obtain the network measurement result.

7. The method of any one of claims 1, 4 or 5, wherein filtering the at least one physical layer measurement twice according to a radio resource control state to obtain a network measurement comprises:

determining a scheduling period of the at least one physical layer measurement according to the radio resource control state;

determining a filter coefficient of the first filtering according to the scheduling period;

performing first filtering and combination on the at least one physical layer measurement result according to the filter coefficient of the first filtering to obtain at least one intermediate filtering result;

and carrying out secondary filtering and merging on the at least one intermediate filtering result to obtain the network measurement result.

8. The method of claim 7, wherein the determining the scheduling period of the at least one physical layer measurement according to the radio resource control state comprises:

determining the scheduling cycle according to a wake-up interval in an idle state or an inactive state under the condition that the radio resource control state is in the idle state or the inactive state;

determining whether the number of resources to be measured in the measurement period meets a preset measurement precision condition or not under the condition that the radio resource control state is a connection state;

if the first parameter is satisfied, determining the scheduling period based on a second parameter; the second parameter characterizes a time parameter corresponding to the measurement execution.

9. The method of claim 8, wherein the second parameter comprises: at least one of a measurement interval configured by the network device, a multi-carrier measurement adjustment factor, and the measurement period.

10. The method of claim 7, wherein determining the filter coefficient for the first filtering according to the scheduling period comprises:

acquiring a preset filter coefficient; the preset filter coefficient corresponds to a preset scheduling period;

determining a down-sampling value corresponding to the scheduling period based on the ratio of the scheduling period to the preset scheduling period;

and adjusting the preset filter coefficient according to the down-sampling value to obtain the filter coefficient of the first filtering.

11. The method according to claim 10, wherein the adjusting the preset filter coefficient according to the down-sampled value to obtain the filter coefficient of the first filtering comprises:

determining a first difference value of a preset adjusting coefficient and the preset filtering coefficient and a sampling reduction value power of the first difference value;

and taking the difference value of the preset adjusting coefficient and the power of the down-sampling value of the first difference value as the filter coefficient of the first filtering.

12. The method of claim 7, wherein determining the filter coefficient for the first filtering according to the scheduling period comprises:

when the scheduling period is greater than a preset first period threshold, taking a first filter coefficient corresponding to the preset first period threshold as a filter coefficient of the first filtering; the first filter coefficient is determined by a down-sampling value corresponding to the preset first period threshold;

when the scheduling period is greater than a preset second period threshold, taking a second filter coefficient corresponding to the preset second period threshold as a filter coefficient of the first filtering; the second filter coefficient is determined by a down-sampling value corresponding to the preset second period threshold; the preset second period threshold is smaller than the preset first period threshold.

13. The method according to claim 7, wherein said second filtering and combining the at least one intermediate filtering result to obtain the network measurement result comprises:

determining a third parameter;

averaging based on the at least one intermediate filtering result to obtain the network measurement result when the third parameter is smaller than a preset time threshold; and the third parameter represents a time parameter corresponding to the measurement reporting condition.

14. The method of claim 13, wherein the third parameter comprises:

at least one of a cell selection event period, a cell reselection event period, and an event reporting period.

15. The method of claim 14, further comprising:

and under the condition that the third parameter is greater than or equal to a preset time threshold, performing impulse response filtering on the at least one intermediate filtering result to obtain the network measurement result.

16. The method according to any one of claims 1 to 5 or any one of claims 8 to 15, wherein the performing at least one physical layer measurement according to the measurement period to obtain at least one physical layer measurement result corresponding to each of the at least one physical layer measurement comprises:

determining a first parameter; the first parameter represents physical channel information to be measured;

determining a physical layer measurement algorithm according to the first parameter; and according to the measurement period, performing at least one physical layer measurement by using the physical layer measurement algorithm to obtain at least one physical layer measurement result.

17. The method of claim 16, wherein the first parameter comprises: at least one of bandwidth information, parameter estimation information, and historical signal-to-noise ratio; wherein the content of the first and second substances,

the parameter estimation information is obtained by estimating the value range according to the historical physical layer measurement result of the historical scheduling period; and the historical signal-to-noise ratio is measured in the historical scheduling period.

18. The method of claim 1, further comprising:

determining a filtering algorithm of the first filtering by combining the data precision of the at least one physical layer measurement result;

and performing first filtering on the at least one physical layer measurement result by using the filtering algorithm to obtain an intermediate filtering result.

19. A network measurement device, comprising:

20. A terminal, comprising:

a memory for storing executable data instructions;

a processor for implementing the method of any one of claims 1 to 18 when executing executable instructions stored in the memory.

21. A computer-readable storage medium having stored thereon executable instructions for causing a processor, when executed, to implement the method of any one of claims 1 to 18.

22. A chip comprising a processor and a memory, wherein:

the memory is used for storing a computer program;

the processor, configured to execute the computer program, to perform the method according to any one of claims 1 to 18.