CN111885634B - RRM (radio resource management) measurement method and device - Google Patents

RRM (radio resource management) measurement method and device Download PDF

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CN111885634B
CN111885634B CN202010642059.6A CN202010642059A CN111885634B CN 111885634 B CN111885634 B CN 111885634B CN 202010642059 A CN202010642059 A CN 202010642059A CN 111885634 B CN111885634 B CN 111885634B
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rrm measurement
time period
rsrp
preset condition
sinr
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CN111885634A (en
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张力方
迟永生
胡泽妍
刘洋
胡云
冯毅
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The embodiment of the invention provides a RRM (radio resource management) measuring method and device, relates to the technical field of communication, and can reduce the frequency of measuring and reporting RRM measuring data by terminal equipment so as to reduce the energy consumption of the terminal equipment. The method comprises the following steps: the network equipment receives RRM measurement data in the current time period from the terminal equipment, wherein the RRM measurement data in the current time period comprises a plurality of RSRPs and a plurality of SINRs; the network equipment determines whether the terminal equipment meets a first preset condition or not based on RRM measurement data in the current time period; the network equipment determines whether the terminal equipment meets a second preset condition or not based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period; under the condition that the terminal equipment meets a first preset condition and a second preset condition, the network equipment increases an RRM measurement period; and the network equipment transmits the increased RRM measurement period to the terminal equipment.

Description

RRM (radio resource management) measurement method and device
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a Radio Resource Management (RRM) measuring method and device.
Background
Currently, User Equipment (UE) performs RRM measurement and periodically reports RRM measurement data, such as Reference Signal Receiving Power (RSRP), to a network device (e.g., a base station). Specifically, the UE may report RRM measurement data to the network device according to the RRM measurement period specified by the protocol.
However, in the above method, the UE may not be able to report the RRM measurement data to the network device flexibly, and if the RRM measurement period is specified by the protocol, the UE may repeatedly acquire and report the same RRM measurement data, which results in an increase in energy consumption of the UE.
Disclosure of Invention
The embodiment of the invention provides a RRM measurement method and device, which can reduce the frequency of measurement and reporting RRM measurement data by terminal equipment, and further reduce the energy consumption of the terminal equipment.
In a first aspect, an embodiment of the present invention provides an RRM measurement method, including: the network device receives RRM measurement data in a current time period from the terminal device, wherein the RRM measurement data in the current time period comprises a plurality of RSRPs and a plurality of signal to interference plus noise ratios (SINRs); the network device determines whether the terminal device meets a first preset condition based on the RRM measurement data in the current time period, where the first preset condition is used to determine that the terminal device is located at a non-edge position of the cell; the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, where the second preset condition is used to determine that the signal quality of the terminal device in the current time period is in a stable state; under the condition that the terminal device meets the first preset condition and the second preset condition, the network device increases an RRM measurement period; the network device transmits the increased RRM measurement period to the terminal device.
In a second aspect, an embodiment of the present invention provides an RRM measurement apparatus, including: the device comprises a receiving module, a determining module and a sending module; the receiving module is configured to receive RRM measurement data in a current time period from the terminal device, where the RRM measurement data in the current time period includes a plurality of RSRPs and a plurality of SINRs; the determining module is configured to determine whether the terminal device meets a first preset condition based on the RRM measurement data in the current time period, where the first preset condition is used to determine that the terminal device is located at a non-edge position of a cell; determining whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, wherein the second preset condition is used for determining that the signal quality of the terminal device in the current time period is in a stable state; and increasing the RRM measurement period when the terminal device satisfies the first preset condition and the second preset condition; the sending module is configured to send the increased RRM measurement period to the terminal device.
In a third aspect, an embodiment of the present invention provides another RRM measurement apparatus, including: a processor, a memory, a bus, and a communication interface; the memory is used for storing computer-executable instructions, and the processor is connected with the memory through a bus, and when the RRM measurement apparatus is running, the processor executes the computer-executable instructions stored in the memory, so that the RRM measurement apparatus executes the RRM measurement method provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which includes instructions that, when run on an RRM measurement apparatus, cause the RRM measurement apparatus to perform an RRM measurement method provided in the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the RRM measurement method according to the first aspect and any one of the implementations of the first aspect.
According to the RRM measurement method and device provided by the embodiment of the invention, the network equipment receives RRM measurement data in the current time period from the terminal equipment, wherein the RRM measurement data in the current time period comprise a plurality of RSRPs and a plurality of SINRs; the network equipment determines whether the terminal equipment meets a first preset condition based on RRM measurement data in the current time period, wherein the first preset condition is used for determining that the terminal equipment is located at a non-edge position of a cell; the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, where the second preset condition is used to determine that the signal quality of the terminal device in the current time period is in a stable state. In this way, the network device increases the RRM measurement period and transmits the increased RRM measurement period to the terminal device when the terminal device satisfies the first preset condition and the second preset condition. In the embodiment of the present invention, when the network device determines that the terminal device meets the first preset condition and the second preset condition, the network device can accurately determine that the terminal device is in a stable state (that is, the position and the signal quality of the terminal device are in a stable state, and the initial position of the terminal device is a non-edge position of a cell). Therefore, the terminal equipment can send the RRM measurement data to the network equipment at longer time intervals, the frequency of measuring and reporting the RRM measurement data by the terminal equipment can be reduced, and the energy consumption of the terminal equipment is further reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic diagram of a network architecture of a communication system according to an embodiment of the present invention;
fig. 2 is a hardware schematic diagram of a base station according to an embodiment of the present invention;
fig. 3 is a hardware schematic diagram of a terminal device according to an embodiment of the present invention;
fig. 4 is a first schematic diagram illustrating a RRM measurement method according to an embodiment of the present invention;
fig. 5 is a second schematic diagram illustrating an RRM measurement method according to an embodiment of the present invention;
fig. 6 is a first schematic structural diagram of a network device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a network device according to an embodiment of the present invention.
Detailed Description
The RRM measurement method and apparatus provided by the embodiment of the present invention will be described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the specification and drawings of the present application are used for distinguishing different objects and are not used for describing a specific order of the objects, for example, the first preset condition, the second preset condition, the third preset condition and the like are used for distinguishing different preset conditions and are not used for describing a specific order of the preset conditions.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
The term "and/or" as used herein includes the use of either or both of the two methods.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
Based on the problems existing in the background art, embodiments of the present invention provide a method and a device for RRM measurement, where a network device receives RRM measurement data in a current time period from a terminal device, and the RRM measurement data in the current time period includes multiple RSRPs and multiple SINRs; then the network equipment determines whether the terminal equipment meets a first preset condition based on RRM measurement data in the current time period, wherein the first preset condition is used for determining that the terminal equipment is located at a non-edge position of a cell; and the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, where the second preset condition is used to determine that the signal quality of the terminal device in the current time period is in a stable state. And under the condition that the terminal equipment meets the first preset condition and the second preset condition, the network equipment increases the RRM measurement period and sends the increased RRM measurement period to the terminal equipment. In the embodiment of the present invention, when the network device determines that the terminal device meets the first preset condition and the second preset condition, the network device can accurately determine that the terminal device is in a stable state (that is, the position and the signal quality of the terminal device are in a stable state, and the initial position of the terminal device is a non-edge position of a cell). Therefore, the terminal equipment can send the RRM measurement data to the network equipment at longer time intervals, the frequency of measuring and reporting the RRM measurement data by the terminal equipment can be reduced, and the energy consumption of the terminal equipment is further reduced.
An RRM measurement method and apparatus provided in an embodiment of the present invention may be applied to a wireless communication system, taking a 5G communication system as an example, as shown in fig. 1, the 5G communication system may include a terminal device 101 and a network device 102, where the terminal device 101 communicates with the network device 102, for example, the network device 102 sends various configuration information (for example, an RRM measurement period) to the terminal device 101, and the terminal device 101 sends data (for example, RRM measurement data) to the network device 102. In general, in practical applications, the connections between the above-mentioned devices or service functions may be wireless connections, and fig. 1 illustrates the connections between the devices by solid lines for convenience of intuitively representing the connections between the devices.
By way of example, taking the network device 102 in fig. 1 as a commonly used base station as an example, a hardware structure of the network device 102 provided in the embodiment of the present invention is described. As shown in fig. 2, a base station provided in an embodiment of the present invention may include: parts 20 and 21. The 20 part is mainly used for receiving and transmitting radio frequency signals and converting the radio frequency signals and baseband signals; the 21 part is mainly used for baseband processing, base station control, and the like. Portion 20 may be generally referred to as a transceiver unit, transceiver, transceiving circuitry, or transceiver, etc. Part 21 is typically the control center of the base station and may be generally referred to as a processing unit.
The transceiver unit of part 20, which may also be referred to as a transceiver, or a transceiver, etc., includes an antenna and a radio frequency unit, or only includes a radio frequency unit or a portion thereof, where the radio frequency unit is mainly used for radio frequency processing. Alternatively, a device for implementing the receiving function in section 20 may be regarded as a receiving unit, and a device for implementing the transmitting function may be regarded as a transmitting unit, that is, section 20 includes a receiving unit and a transmitting unit. A receiving unit may also be referred to as a receiver, a receiving circuit, or the like, and a transmitting unit may be referred to as a transmitter, a transmitting circuit, or the like.
Portion 21 may comprise one or more boards or chips, each of which may comprise one or more processors and one or more memories, the processors being configured to read and execute programs in the memories to implement baseband processing functions and control of the base station. If a plurality of single boards exist, the single boards can be interconnected to increase the processing capacity. As an alternative implementation, multiple boards may share one or more processors, or multiple boards may share one or more memories. The memory and the processor may be integrated together or may be provided separately. In some embodiments, the 20 and 21 sections may be integrated or may be separate. In addition, all functions in the part 21 may be integrated into one chip, or part of functions may be integrated into one chip, so as to implement another part of functions that are integrated into one or more other chips, which is not limited in this embodiment of the present invention.
Illustratively, as shown in fig. 3, a terminal device 30 provided in an embodiment of the present invention includes: a radio frequency front end 301, a transceiving link module 302 and a baseband processing module 303.
The rf front end 301 includes antennas (antenna 1 and antenna 2), an rf switch 3011, a power amplifier 3012, and the like. The power amplifier 3012 is configured to amplify a received signal, and then send the amplified signal to an antenna through the radio frequency switch 3011, where the antenna transmits the signal.
The transceiving link module 302 comprises a receiver 3021, a radio frequency synthesizer 3022, a transmitter 3023, and the like. The receiver 3021 is configured to receive a signal transmitted by an antenna; the radio frequency synthesizer 3022 is configured to generate a local oscillator signal, and perform frequency synthesis on the frequency of the local oscillator signal and a signal at the receiver 3021 or the transmitter 3023; a transmitter 3023 for transmitting the signal to the power amplifier 3012, and at least one analog-to-digital converter (ADC) is present in each of the receiver 3021 and the transmitter 3023, and the ADC is configured to convert the analog signal into a digital signal and further transmit the digital signal to the baseband processing module 303.
And the baseband processing module 303 is configured to process and store data generated by the terminal device during a communication process.
It should be understood that, during the communication process of the terminal device 30, for example, when the terminal device 30 performs RRM measurement (including the process of sending RRM measurement period from the base station to the terminal device and sending RRM measurement data from the terminal device to the base station), the above modules (i.e. the radio frequency front end 301, the transceiving link module 302, and the baseband processing module 303) all generate energy consumption. Specifically, for the rf front end 301, before the terminal device 30 sends out the signal (for example, before the terminal device sends RRM measurement data to the base station), the power amplifier 3012 is required to amplify the signal, and this may cause energy consumption. The transceiver link module 302 also consumes energy because it needs to perform processing such as frequency synthesis on signals. The amount of energy consumption is related to the number of carriers, the number of Multiple Input Multiple Output (MIMO), the bandwidth, and the number of physical resource blocks (PBRs). For the baseband processing module 303, the amount of energy consumption is related to the number of sampling points corresponding to the Fast Fourier Transform (FFT) transformed digital signal and the chip process. Specifically, the larger the number of sampling points, the more energy consumption, and the lower the chip technology, the more energy consumption. Moreover, since the interference and noise processing when the terminal device 30 receives the downlink data needs to be performed in the baseband processing module 303, the energy consumption generated when the baseband processing module 303 processes the downlink data is higher than the energy consumption generated when it processes the uplink data (for example, the energy consumption generated when the terminal device 30 receives the RRM measurement period is higher than the energy consumption generated when the terminal device sends the RRM measurement data).
It should be noted that the energy consumption generated by the above modules is generated by the terminal device 30 during communication with other devices (e.g., base stations). In one case, the terminal device also generates power consumption when it is in a standby state. For example, the Central Processing Unit (CPU), the Graphics Processing Unit (GPU), and the display of the terminal device consume energy in the standby state.
As shown in fig. 4, an RRM measurement method provided in an embodiment of the present invention may include S101 to S105.
S101, the network equipment receives RRM measurement data in the current time period from the terminal equipment.
Wherein the RRM measurement data in the current time period comprises a plurality of RSRPs and a plurality of SINRs.
It should be understood that a plurality of RRM measurement periods may be included in the current time period, and the terminal device may send (or report) RRM measurement data to the network device every RRM measurement period, where the RRM measurement data sent in one RRM measurement period includes one RSRP and one SINR.
S102, the network device determines whether the terminal device meets a first preset condition based on the RRM measurement data in the current time period.
The first preset condition is used for determining that the terminal equipment is located at a non-edge position of the cell.
In an implementation manner of the embodiment of the present invention, the first preset condition is:
|RSRP1-RSRP2|≥N*ΔRSRP;
and/or | SINR1-SINR2|≥N*ΔSINR;
Wherein, RSRP1Representing an average of a plurality of RSRPs over a current time period, RSRP2Representing corresponding RSRP when the terminal equipment is positioned at the edge position of a cell, wherein delta RSRP represents an RSRP threshold decision factor; SINR1Representing an average of a plurality of SINRs over a current time period, SINR2And the corresponding SINR when the terminal equipment is positioned at the edge position of the cell is shown, delta SINR shows an SINR threshold decision factor, N shows a multiple factor, and N is more than or equal to 1.
It should be understood that the corresponding RSRP when the terminal device is located at an edge position of a cell may be an average of RSRPs measured by the terminal device a plurality of times at the edge position of the cell. Similarly, the corresponding SINR when the terminal device is located at the edge position of the cell is an average value of SINRs measured by the terminal device at the edge position of the cell for multiple times.
It will be appreciated that the above-described,the initial position of the terminal device is a non-edge position of the cell. At | RSRP1-RSRP2In the case where | ≧ N × Δ RSRP, it is described that the RSRP corresponding to the terminal device in the current time period (i.e., the average value of multiple RSRPs in the current time period) has a large degree of deviation from the RSRP corresponding to the terminal device at the edge position of the cell, and the network device determines that the terminal device is not at the edge position of the cell, i.e., the terminal device is at a non-edge position of the cell. In this manner, the network device may determine that the location of the terminal device is in a stable state.
Similarly, at the | SINR1-SINR2In the case where | ≧ N × Δ SINR, it is described that the SINR (the average of multiple SINRs in the current time period) corresponding to the terminal device in the current time period greatly deviates from the SINR corresponding to the terminal device at the edge position of the cell, and the network device determines that the terminal device is not at the edge position of the cell, that is, the terminal device is at a non-edge position of the cell. In this way, the network device may also determine that the location of the terminal device is in a stable state.
And S103, the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period.
And the second preset condition is used for determining that the signal quality of the terminal equipment in the current time period is in a stable state.
In conjunction with the description of the above embodiments, it should be understood that RRM measurement data in the current time period includes a plurality of RSRPs and a plurality of SINRs. Similarly, the RRM measurement data in the historical period of time, which is a period of time before the current period of time, also includes a plurality of RSRPs and a plurality of SINRs.
In an implementation manner of the embodiment of the present invention, the second preset condition is:
Figure BDA0002571859330000071
and is
Figure BDA0002571859330000072
Wherein, RSRP1Representing an average of a plurality of RSRPs over a current time period, RSRP maxRepresents a maximum value of a plurality of RSRPs within a historical time period, RSRPminRepresenting the minimum value of a plurality of RSRPs in the historical time period, wherein Delta RSRP represents an RSRP threshold decision factor; SINR1Representing an average of a plurality of SINRs within a current time period, SINRmaxIndicating a maximum of a plurality of SINRs within a historical period of time, SINRminThe minimum value of a plurality of SINRs in the historical time period is represented, delta SINR represents an SINR threshold decision factor, N represents a multiple factor, and N is larger than or equal to 1.
It should be understood that,
Figure BDA0002571859330000081
the RSRP corresponding to the terminal device over the historical period of time may be characterized. In that
Figure BDA0002571859330000082
The RSRP of the terminal device in the current time period (i.e., the average value of the RSRPs in the current time period) is less deviated from the RSRP of the terminal device in the historical time period. In the same way, the method for preparing the composite material,
Figure BDA0002571859330000083
the SINR of the terminal device corresponding to the historical period of time can be characterized. In that
Figure BDA0002571859330000084
In the case of (2), it is explained that the SINR corresponding to the terminal device in the current time period (i.e., the average value of the SINRs in the current time period) is less deviated from the SINR corresponding to the terminal device in the past time period.
And under the condition that the network equipment determines that the deviation degree of the RSRP corresponding to the current time period of the terminal equipment and the RSRP corresponding to the historical time period of the terminal equipment is smaller, and the deviation degree of the SINR corresponding to the current time period of the terminal equipment and the SINR corresponding to the historical time period of the terminal equipment is smaller, the network equipment determines that the signal quality of the terminal equipment is in a stable state.
It should be noted that the embodiment of the present invention does not limit the execution sequence of the above S102 and S103. For example, S102 may be executed first and then S103, or S103 may be executed first and then S102, or S102 and S103 may be executed simultaneously.
And S104, under the condition that the terminal equipment meets the first preset condition and the second preset condition, the network equipment increases the RRM measurement period.
In the embodiment of the present invention, when the network device determines that the terminal device is located at the non-edge position of the cell and the signal quality of the terminal device is in the stable state in the current time period, the network device can accurately determine that the terminal device is in the stable state (that is, the position of the terminal device and the signal quality are in the stable state), so that the network device increases the RRM measurement period.
In an implementation manner of the embodiment of the present invention, when the network device determines that the terminal device does not satisfy the first preset condition and/or the second preset condition, the network device determines that the RRM measurement period does not need to be increased, that is, the terminal device continues to measure in the RRM measurement period before the increase and reports RRM measurement data.
And S105, the network equipment sends the increased RRM measurement period to the terminal equipment.
In an implementation manner of the embodiment of the present invention, the increased RRM measurement period satisfies:
Figure BDA0002571859330000085
or
Figure BDA0002571859330000086
Wherein the content of the first and second substances,
Figure BDA0002571859330000091
indicating the increased RRM measurement period,
Figure BDA0002571859330000092
indicating the RRM measurement period before the increase,
Figure BDA0002571859330000093
representing the variance of SINR in the historical time period, wherein delta SINR represents an SINR threshold decision factor;
Figure BDA0002571859330000094
and the variance of the RSRP in the historical time period is represented, and the Δ RSRP represents an RSRP threshold decision factor.
It should be understood that the network device may determine the multiple of the increase in RRM measurement period, i.e., the RSRP threshold decision factor and the variance of SINR over the historical period of time, or the variance of RSRP over the historical period of time
Figure BDA0002571859330000095
Or
Figure BDA0002571859330000096
Wherein the content of the first and second substances,
Figure BDA0002571859330000097
in the embodiment of the present invention, a network device receives RRM measurement data in a current time period from a terminal device, where the RRM measurement data in the current time period includes a plurality of RSRPs and a plurality of SINRs; the network equipment determines whether the terminal equipment meets a first preset condition based on RRM measurement data in the current time period, wherein the first preset condition is used for determining that the terminal equipment is located at a non-edge position of a cell; the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, where the second preset condition is used to determine that the signal quality of the terminal device in the current time period is in a stable state. In this way, the network device increases the RRM measurement period and transmits the increased RRM measurement period to the terminal device when the terminal device satisfies the first preset condition and the second preset condition. In the embodiment of the present invention, when the network device determines that the terminal device meets the first preset condition and the second preset condition, the network device can accurately determine that the terminal device is in a stable state (that is, the position and the signal quality of the terminal device are in a stable state, and the initial position of the terminal device is a non-edge position of a cell). Therefore, the terminal equipment can send the RRM measurement data to the network equipment at longer time intervals, the frequency of measuring and reporting the RRM measurement data by the terminal equipment can be reduced, and the energy consumption of the terminal equipment is further reduced.
As shown in fig. 5, in an implementation manner, an RRM measurement method provided in an embodiment of the present invention includes S201 to S206:
s201, the network device receives RRM measurement data in the current time period from the terminal device.
S202, the network device determines, based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, whether the terminal device satisfies a second preset condition.
It should be understood that the explanation of S201-S202 can refer to the description in S101-S102, and the description is omitted here.
S203, the network equipment acquires the current moving speed of the terminal equipment.
In one implementation manner of the embodiment of the present invention, the terminal device may detect (or test) its current moving speed, and send the moving speed to the positioning device, and the positioning device sends the moving speed to the network device.
And S204, the network equipment determines whether the terminal meets a third preset condition according to the current moving speed of the terminal equipment.
And the third preset condition is used for determining that the moving speed of the terminal equipment is in a stable state.
In an implementation manner of the embodiment of the present invention, the third preset condition is:
V2-ΔV≤V1≤V2+ΔV;
wherein, V1Indicating the current moving speed, V, of the terminal device 2Representing the critical moving speed, and av represents the moving speed threshold decision factor.
It can be understood that the initial moving speed of the terminal device is the critical moving speed, and the threshold-moving-speed decision factor is set for the terminal deviceAnd (4) a moving speed error value. The network device may determine a minimum travel speed value (i.e., V) based on the initial travel speed and the travel speed error value2Δ V) and maximum moving speed (i.e., V)2+ Δ V), i.e. a reasonable range for determining the speed of movement. And under the condition that the network device determines that the current moving speed of the terminal device is greater than or equal to the minimum moving speed and less than or equal to the maximum moving speed (namely, the current moving speed of the terminal device is within a reasonable range of the moving speed), the network device determines that the moving speed of the terminal device is in a stable state (namely, the terminal device meets a third preset condition). And under the condition that the network device determines that the current moving speed of the terminal device is smaller than the minimum moving speed or larger than the maximum moving speed (namely, the current moving speed of the terminal device is out of a reasonable range of the moving speed), the network device determines that the current moving speed of the terminal device is in an unstable state (namely, the terminal device does not meet a third preset condition).
It should be noted that the embodiment of the present invention does not limit the execution sequence of the above S202 and S204. For example, S202 may be performed first and then S204 may be performed, or S202 and S204 may be performed simultaneously.
And S205, under the condition that the terminal equipment meets the second preset condition and the third preset condition, the network equipment increases the RRM measurement period.
In the embodiment of the present invention, when the network device determines that the signal quality of the terminal device in the current time period is in the stable state and the moving speed of the terminal device is in the stable state, the network device can accurately determine that the terminal device is in the stable state (that is, the moving speed and the signal quality of the terminal device are in the stable state), so that the network device increases the RRM measurement period.
In an implementation manner of the embodiment of the present invention, when the network device determines that the terminal device does not satisfy the second preset condition and/or the third preset condition, the network device determines that the RRM measurement period does not need to be increased, that is, the terminal device continues to measure in the RRM measurement period before the increase and reports RRM measurement data.
And S206, the network equipment sends the increased RRM measurement period to the terminal equipment.
It should be understood that, after the terminal device receives the increased RRM measurement period sent by the network device, the terminal device performs RRM measurement according to the increased RRM measurement period (i.e., measures and reports RRM measurement data).
In the embodiment of the invention, network equipment receives RRM measurement data in the current time period from terminal equipment; the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, where the second preset condition is used to determine that the signal quality of the terminal device in the current time period is in a stable state; and then the network equipment acquires the current moving speed of the terminal equipment, and determines whether the terminal meets a third preset condition according to the current moving speed of the terminal equipment, wherein the third preset condition is used for determining that the moving speed of the terminal equipment is in a stable state. In this way, when the terminal device satisfies the second preset condition and the third preset condition, the network device increases the RRM measurement period and transmits the increased RRM measurement period to the terminal device. In the embodiment of the present invention, when the network device determines that the terminal device meets the second preset condition and the third preset condition, the network device can accurately determine that the terminal device is in a stable state (that is, the moving speed and the signal quality of the terminal device are in a stable state, and the current moving speed of the terminal device is within a reasonable range of the moving speed). Therefore, the terminal equipment can send the RRM measurement data to the network equipment at longer time intervals, the frequency of measuring and reporting the RRM measurement data by the terminal equipment can be reduced, and the energy consumption of the terminal equipment is further reduced.
In another implementation, the network device may further preset an increase multiple of the measurement period, where the increase multiple is denoted by M, and M is greater than or equal to 1, and the RRM measurement period before the increase is the first RRM measurement period, and the RRM measurement period after the increase is the second RRM measurement period, and then the second RRM measurement period is the first RRM measurement period that is M times. The terminal device may perform the RRM measurement according to the second RRM measurement period. The method specifically comprises the following steps of 1-3:
step 1, the network device receives RRM measurement data measured by the terminal device according to the second RRM measurement cycle in the first period and RRM measurement data measured by the terminal device according to the second RRM measurement cycle in the second period from the terminal device.
In conjunction with the description of the above embodiments, it is understood that the first time period may correspond to the above-described historical time period, and the second time period may correspond to the above-described current time period, the first time period being a period of time before the second time period. Similarly, the RRM measurement data in the first time period corresponds to the RRM measurement data in the historical time period, and the RRM measurement data in the second time period corresponds to the RRM measurement data in the current time period.
And step 2, the network device determines whether the terminal device meets a first preset condition based on the RRM measurement data measured by the terminal device in the second RRM measurement period in the second time period, and determines whether the terminal device meets a second preset condition based on the RRM measurement data measured by the terminal device in the second RRM measurement period in the first time period and the RRM measurement data measured by the terminal device in the second RRM measurement period in the second time period.
And 3, under the condition that the terminal device meets the first preset condition and the second preset condition, the network device determines that the second RRM measurement period is a reasonable RRM measurement period, that is, M is a reasonable increase multiple, otherwise, the network device determines that the second RRM measurement period is unreasonable, that is, the second RRM measurement period is long, and the value of M is too large.
If the network device determines that the second RRM measurement period is reasonable, the network device sends the second RRM measurement period to the terminal device, so that the terminal device measures and reports RRM measurement data according to the second RRM measurement period. Optionally, in an implementation manner, in the process of performing the RRM measurement subsequently, the network device may further continue to increase the RRM measurement period, that is, continue to increase the M, on the basis of the second RRM measurement period according to an actual situation, and determine whether the increased RRM measurement period is reasonable according to the methods in the foregoing step 1 to step 3.
If the network device determines that the second RRM measurement period is not reasonable, the network device decreases the RRM measurement period, that is, decreases the value of M, on the basis of the second RRM measurement period, and determines whether the decreased RRM measurement period is reasonable according to the methods in the above steps 1 to 3 until the reasonable RRM measurement period is determined, and sends the reasonable RRM measurement period to the terminal device, and the terminal device measures and reports RRM measurement data according to the reasonable RRM measurement period.
Similarly, referring to the foregoing S201 to S205, the network device may further determine whether the second RRM measurement period is a reasonable RRM measurement period based on a second preset condition and a third preset condition, which is not described herein again.
In the embodiment of the present invention, the network device and the like may be divided into functional modules according to the above method examples, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only one logic function division, and another division manner may be available in actual implementation.
In the case of dividing each functional module by corresponding functions, fig. 6 shows a schematic diagram of a possible structure of the network device involved in the foregoing embodiments, and as shown in fig. 6, the network device 40 may include: a receiving module 401, a determining module 402 and a sending module 403.
A receiving module 401, configured to receive RRM measurement data in a current time period from a terminal device, where the RRM measurement data in the current time period includes multiple RSRPs and multiple SINRs.
A determining module 402, configured to determine, based on the RRM measurement data in the current time period, whether the terminal device meets a first preset condition, where the first preset condition is used to determine that the terminal device is located at a non-edge position of a cell; determining whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, wherein the second preset condition is used for determining that the signal quality of the terminal device in the current time period is in a stable state; and increasing the RRM measurement period under the condition that the terminal equipment meets the first preset condition and the second preset condition.
A sending module 403, configured to send the increased RRM measurement period to the terminal device.
Optionally, the network device 40 further includes: an obtaining module 404.
An obtaining module 404, configured to obtain a current moving speed of the terminal device.
The determining module 402 is further configured to determine whether the terminal device meets a third preset condition according to the current moving speed of the terminal device, where the third preset condition is used to determine that the moving speed of the terminal device is in a stable state; and increasing the RRM measurement period in case the terminal device satisfies the second preset condition and the third preset condition.
Optionally, the first preset condition is:
|RSRP1-RSRP2|≥N*ΔRSRP;
and/or | SINR1-SINR2|≥N*ΔSINR;
Wherein, RSRP1Representing the average value of a plurality of RSRPs over the current time period, RSRP2Indicating the corresponding RSRP when the terminal equipment is positioned at the edge position of the cell, wherein the delta RSRP indicates an RSRP threshold decision factor; SINR1Indicating the average of a plurality of SINRs within the current time period, SINR2And the corresponding SINR when the terminal equipment is positioned at the edge position of the cell is shown, wherein delta SINR shows an SINR threshold decision factor, N shows a multiple factor, and N is more than or equal to 1.
Optionally, the second preset condition is:
Figure BDA0002571859330000131
and is
Figure BDA0002571859330000132
Wherein, RSRP1Representing the average value of a plurality of RSRPs over the current time period, RSRPmaxRepresenting a maximum value of a plurality of RSRPs over the historical period of time, RSRPminRepresenting the minimum value of a plurality of RSRPs in the historical time period, wherein the Delta RSRP represents an RSRP threshold decision factor; SINR1Indicating the average of a plurality of SINRs within the current time period, SINRmaxIndicates the maximum value of a plurality of SINRs in the history period, SINRminThe minimum value of a plurality of SINRs in the historical time period is represented, delta SINR represents an SINR threshold decision factor, N represents a multiple factor, and N is larger than or equal to 1.
Optionally, the third preset condition is:
V2-ΔV≤V1≤V2+ΔV;
wherein, V1Indicates the current moving speed, V, of the terminal equipment 2Representing the critical moving speed and av representing the moving speed threshold decision factor.
Optionally, the increased RRM measurement period satisfies:
Figure BDA0002571859330000141
or
Figure BDA0002571859330000142
Wherein the content of the first and second substances,
Figure BDA0002571859330000143
indicating the increased RRM measurement period,
Figure BDA0002571859330000144
indicating the RRM measurement period before the increase,
Figure BDA0002571859330000145
the variance of SINR in the historical time period is represented, and delta SINR represents an SINR threshold decision factor;
Figure BDA0002571859330000146
the variance of the RSRP in the historical time period is shown, and the Δ RSRP represents the RSRP threshold decision factor.
Fig. 7 shows a schematic diagram of a possible structure of the network device involved in the above-described embodiment, in the case of an integrated unit. As shown in fig. 7, the network device 50 may include: a processing module 501 and a communication module 502. The processing module 501 may be configured to control and manage actions of the network device 50, for example, the processing module 501 may be configured to support the network device 50 to execute S102, S103, S104, S202, S204, and S205 in the above method embodiments. The communication module 502 may be configured to support the network device 50 to communicate with other entities, for example, the communication module 502 may be configured to support the network device 50 to perform S101, S105, S201, S203, and S206 in the above-described method embodiments. Optionally, as shown in fig. 7, the network device 50 may further include a storage module 503 for storing program codes and data of the network device 50.
The processing module 501 may be a processor or a controller. The communication module 502 may be a transceiver, a transceiving circuit or a communication interface, etc. The storage module 503 may be a memory.
When the processing module 501 is a processor, the communication module 502 is a transceiver, and the storage module 503 is a memory, the processor, the transceiver, and the memory may be connected by a bus. The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the invention are all or partially effected when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or can comprise one or more data storage devices, such as a server, a data center, etc., that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (8)

1. A method for RRM measurement for radio resource management, the method comprising:
the network device receives RRM measurement data in a current time period from the terminal device, wherein the RRM measurement data in the current time period comprises a plurality of Reference Signal Received Power (RSRP) and a plurality of signal to interference plus noise ratios (SINRs);
the network device determines whether the terminal device meets a first preset condition based on the RRM measurement data in the current time period, wherein the first preset condition is used for determining that the terminal device is located at a non-edge position of a cell;
the network device determines whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, where the second preset condition is used to determine that the signal quality of the terminal device in the current time period is in a stable state;
Under the condition that the terminal equipment meets the first preset condition and the second preset condition, the network equipment increases an RRM measurement period;
the network equipment sends the increased RRM measurement period to the terminal equipment;
the network equipment acquires the current moving speed of the terminal equipment;
the network equipment determines whether the terminal equipment meets a third preset condition according to the current moving speed of the terminal equipment, wherein the third preset condition is used for determining that the moving speed of the terminal equipment is in a stable state;
under the condition that the terminal device meets the second preset condition and the third preset condition, the network device increases an RRM measurement period;
the second preset condition is as follows:
Figure FDA0003580066610000011
and is
Figure FDA0003580066610000012
Wherein, RSRP1Representing an average value of a plurality of RSRPs over the current time period, RSRPmaxRepresenting a maximum value of a plurality of RSRPs within the historical period of time, RSRPminRepresenting a minimum value of a plurality of RSRPs within the historical time period, Δ RSRP representing an RSRP threshold decision factor; SINR1Representing an average of a plurality of SINRs within the current time period, SINRmaxRepresenting a maximum value of a plurality of SINRs within the historical period of time, SINR minAnd the minimum value of a plurality of SINRs in the historical time period is represented, the Delta SINR represents an SINR threshold decision factor, N represents a multiple factor, and N is more than or equal to 1.
2. The method according to claim 1, wherein the first preset condition is:
|RSRP1-RSRP2|≥N*ΔRSRP;
and/or | SINR1-SINR2|≥N*ΔSINR;
Wherein, RSRP1Representing an average value of a plurality of RSRPs over the current time period, RSRP2Representing the corresponding RSRP when the terminal equipment is positioned at the edge position of the cell, wherein the delta RSRP represents an RSRP threshold decision factor; SINR1Indicating the current time periodAverage of a plurality of SINRs, SINR2And the corresponding SINR when the terminal equipment is positioned at the edge position of the cell is represented, delta SINR represents an SINR threshold decision factor, N represents a multiple factor, and N is more than or equal to 1.
3. The method according to claim 1, characterized in that the third preset condition is:
V2-ΔV≤V1≤V2+ΔV;
wherein, V1Indicating the current moving speed, V, of the terminal device2Representing the critical moving speed and av representing the moving speed threshold decision factor.
4. The method according to any one of claims 1 to 3,
the increased RRM measurement period satisfies:
Figure FDA0003580066610000021
or
Figure FDA0003580066610000022
Wherein the content of the first and second substances,
Figure FDA0003580066610000023
indicating the increased RRM measurement period,
Figure FDA0003580066610000024
indicating the RRM measurement period before the increase,
Figure FDA0003580066610000025
Representing the variance of SINR in the historical time period, wherein Delta SINR represents an SINR threshold decision factor;
Figure FDA0003580066610000026
representAnd the variance of the RSRP in the historical time period, wherein the delta RSRP represents an RSRP threshold decision factor.
5. A network device, comprising: the device comprises a receiving module, a determining module and a sending module;
the receiving module is configured to receive RRM measurement data in a current time period from a terminal device, where the RRM measurement data in the current time period includes a plurality of reference signal received power RSRP and a plurality of signal to interference plus noise ratio SINR;
the determining module is configured to determine, based on the RRM measurement data in the current time period, whether the terminal device meets a first preset condition, where the first preset condition is used to determine that the terminal device is located at a non-edge position of a cell; determining whether the terminal device meets a second preset condition based on the RRM measurement data in the current time period and the RRM measurement data in the historical time period, wherein the second preset condition is used for determining that the signal quality of the terminal device in the current time period is in a stable state; and increasing an RRM measurement period when the terminal device satisfies the first preset condition and the second preset condition;
The sending module is configured to send the increased RRM measurement period to the terminal device;
the network device further comprises: an acquisition module;
the acquisition module is used for acquiring the current moving speed of the terminal equipment;
the determining module is further configured to determine whether the terminal device meets a third preset condition according to the current moving speed of the terminal device, where the third preset condition is used to determine that the moving speed of the terminal device is in a stable state; and increasing an RRM measurement period when the terminal device satisfies the second preset condition and the third preset condition;
the second preset condition is as follows:
Figure FDA0003580066610000031
and is provided with
Figure FDA0003580066610000032
Wherein, RSRP1Representing an average value of a plurality of RSRPs over the current time period, RSRPmaxRepresenting a maximum value of a plurality of RSRPs within the historical period of time, RSRPminRepresenting a minimum value of a plurality of RSRPs within the historical time period, Δ RSRP representing an RSRP threshold decision factor; SINR1Representing an average of a plurality of SINRs within the current time period, SINRmaxRepresenting a maximum value of a plurality of SINRs within the historical period of time, SINRminAnd the minimum value of a plurality of SINRs in the historical time period is represented, the delta SINR represents an SINR threshold decision factor, N represents a multiple factor, and N is more than or equal to 1.
6. The network device of claim 5, wherein the first preset condition is that:
|RSRP1-RSRP2|≥N*ΔRSRP;
and/or | SINR1-SINR2|≥N*ΔSINR;
Wherein, RSRP1Representing an average of a plurality of RSRPs over the current time period, RSRP2The RSRP is corresponding to the terminal equipment when the terminal equipment is located at the edge position of the cell, and delta RSRP represents an RSRP threshold judgment factor; SINR1Representing an average of a plurality of SINRs within the current time period, SINR2And the corresponding SINR when the terminal equipment is positioned at the edge position of the cell is represented, delta SINR represents an SINR threshold decision factor, N represents a multiple factor, and N is more than or equal to 1.
7. The network device according to claim 5, wherein the third preset condition is:
V2-ΔV≤V1≤V2+ΔV;
wherein, V1Indicates the terminal device isForward moving speed, V2Representing the critical moving speed and av representing the moving speed threshold decision factor.
8. The network device of any of claims 5 to 7,
the increased RRM measurement period satisfies:
Figure FDA0003580066610000041
or
Figure FDA0003580066610000042
Wherein the content of the first and second substances,
Figure FDA0003580066610000043
indicating the increased RRM measurement period,
Figure FDA0003580066610000044
indicating the RRM measurement period before the increase,
Figure FDA0003580066610000045
representing the variance of SINR in the historical time period, wherein delta SINR represents an SINR threshold decision factor;
Figure FDA0003580066610000046
And the variance of the RSRP in the historical time period is represented, and the Delta RSRP represents an RSRP threshold judgment factor.
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