CN116782250A - Method and device for determining relevance of terminal, storage medium and electronic device - Google Patents

Method and device for determining relevance of terminal, storage medium and electronic device Download PDF

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Publication number
CN116782250A
CN116782250A CN202210225911.9A CN202210225911A CN116782250A CN 116782250 A CN116782250 A CN 116782250A CN 202210225911 A CN202210225911 A CN 202210225911A CN 116782250 A CN116782250 A CN 116782250A
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China
Prior art keywords
terminal
target beam
determining
beams
target
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Chinese (zh)
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魏浩
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ZTE Corp
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ZTE Corp
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Priority to CN202210225911.9A priority Critical patent/CN116782250A/en
Priority to PCT/CN2023/074015 priority patent/WO2023169099A1/en
Publication of CN116782250A publication Critical patent/CN116782250A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H04W16/28—Cell structures using beam steering
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/046—Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application provides a method and a device for determining the relevance of a terminal, a storage medium and an electronic device, wherein the method comprises the following steps: transmitting downlink beam measurement signals in a beam scanning mode; acquiring a first beam set with the maximum signal intensity fed back by a first terminal according to the downlink beam measurement signal, and acquiring a second beam set with the maximum signal intensity fed back by a second terminal according to the downlink beam measurement signal; extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set; the method and the system can solve the problems that in the related art, the base station determines the correlation between the terminals according to the angle distance between the strongest beams fed back by the terminals, the complexity and the cost are high, and the correlation between the terminals is determined based on the beams fed back by the beam measurement signals, so that the operation is simple and the cost is reduced.

Description

Method and device for determining relevance of terminal, storage medium and electronic device
Technical Field
The embodiment of the application relates to the field of communication, in particular to a method and a device for determining the relevance of a terminal, a storage medium and an electronic device.
Background
In wireless communication, a base station adopts a multi-user multiple-input multiple-output (Multiple User Multiple Input Multiple Output, abbreviated as MU-MIMO) technology to simultaneously serve a plurality of terminals on the same time-frequency resource, so as to realize space allocation pair and data transmission. For high-frequency millimeter wave communication, a base station can transmit downlink wave beam measurement signals in a wave beam scanning mode, a terminal can feed back the received signal intensities of a plurality of wave beams, and the base station carries out wave beam matching transmission signals on the terminal according to the wave beam intensities fed back by the terminal. In general, terminals matching the same beam have strong correlation and are not well suited for space allocation pairs. And terminals with different wave beams are matched, and when the base station schedules uplink measurement signals, the equivalent channels of the terminals are subjected to spatial filtering of the different wave beams, so that the base station cannot calculate the correlation coefficient between the terminals based on uplink channel measurement information in low-frequency communication. In the related art, the base station determines the correlation between the terminals according to the angle distance between the strongest beams fed back by the terminals, and the complexity and the cost are high.
Aiming at the problems that in the related art, the base station determines the correlation between the terminals according to the angle distance between the strongest beams fed back by the terminals, and the complexity and the cost are high, no solution is proposed yet.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining the relevance of terminals, a storage medium and an electronic device, which are used for at least solving the problems that in the related art, a base station determines the relevance among the terminals according to the angle distance among the strongest beams fed back by the terminals, and the complexity and the cost are high.
According to an embodiment of the present application, there is provided a correlation determination method of a terminal, applied to a base station, including:
transmitting downlink beam measurement signals in a beam scanning mode;
acquiring a first beam set with the maximum signal intensity fed back by a first terminal according to the downlink beam measurement signal, and acquiring a second beam set with the maximum signal intensity fed back by a second terminal according to the downlink beam measurement signal, wherein the first beam set and the second beam set both comprise a plurality of beams;
extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set;
and determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
According to another embodiment of the present application, there is also provided a correlation determining apparatus of a terminal, applied to a base station, including:
the transmitting module is used for transmitting downlink beam measurement signals in a beam scanning mode;
the acquisition module is used for acquiring a first beam set with the maximum signal intensity fed back by the first terminal according to the downlink beam measurement signal and acquiring a second beam set with the maximum signal intensity fed back by the second terminal according to the downlink beam measurement signal, wherein the first beam set and the second beam set both comprise a plurality of beams;
the extraction module is used for extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set;
and the determining module is used for determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
According to a further embodiment of the application, there is also provided a computer-readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
According to a further embodiment of the application, there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In the embodiment of the application, a beam scanning mode is adopted to transmit downlink beam measurement signals; acquiring a first beam set with maximum signal intensity fed back by a first terminal according to the downlink beam measurement signal, and acquiring a second beam with maximum signal intensity fed back by a second terminal according to the downlink beam measurement signal, wherein the first beam set and the second beam set both comprise a plurality of beams; extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set; the method and the system can solve the problem that in the related art, the base station determines the correlation between the terminals according to the angle distance between the strongest beams fed back by the terminals, the complexity and the cost are high, and the correlation between the terminals is determined based on the beams fed back by the beam measurement signals, so that the method and the system are simple to operate and the cost is reduced.
Drawings
Fig. 1 is a block diagram of a hardware structure of a mobile terminal of a correlation determination method of a terminal according to an embodiment of the present application;
fig. 2 is a flowchart of a correlation determination method of a terminal according to an embodiment of the present application;
fig. 3 is a flowchart of a correlation determination method of a terminal according to an alternative embodiment of the present application;
FIG. 4 is a flow chart of correlation coefficient calculation based on beam measurement feedback according to an embodiment of the present application;
fig. 5 is a block diagram of a correlation determining apparatus of a terminal according to an embodiment of the present application;
fig. 6 is a block diagram of a correlation determining apparatus of a terminal according to an alternative embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking a mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of a mobile terminal according to a method for determining a correlation of a terminal according to an embodiment of the present application, as shown in fig. 1, the mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processors 102 may include, but are not limited to, a microprocessor MCU, a programmable logic device FPGA, or the like) and a memory 104 for storing data, where the mobile terminal may further include a transmission device 106 for a communication function and an input/output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a correlation determination method of a terminal in an embodiment of the present application, and the processor 102 executes the computer program stored in the memory 104, thereby performing various functional applications and a service chain address pool slicing process, that is, implementing the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, a method for determining the correlation of a terminal operating in the mobile terminal or the network architecture is provided, fig. 2 is a flowchart of a method for determining the correlation of a terminal according to an embodiment of the present application, and as shown in fig. 2, an execution subject of the method is a base station, specifically may be a 5G base station, where the flowchart includes the following steps:
step S202, transmitting downlink beam measurement signals in a beam scanning mode;
step S204, a first beam set with the largest signal intensity fed back by the first terminal according to the downlink beam measurement signal is obtained, and a second beam set with the largest signal intensity fed back by the second terminal according to the downlink beam measurement signal is obtained, wherein the first beam set and the second beam set both comprise a plurality of beams;
step S206, extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set;
and step S208, determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
Through the steps S202 to S208, the problem that in the related art, the base station determines the correlation between the terminals according to the angle distance between the strongest beams fed back by the terminals, the complexity and the cost are high, and the correlation between the terminals is determined based on the beams fed back by the beam measurement signals, so that the operation is simple and the cost is reduced.
Fig. 3 is a flowchart of a method for determining a correlation of a terminal according to an alternative embodiment of the present application, and as shown in fig. 3, the step S208 may specifically include:
s302, determining a correlation coefficient of a first terminal and a second terminal according to a first target beam and a second target beam;
s304, determining the correlation between the first terminal and the second terminal according to the correlation coefficient, and specifically, if the correlation coefficient is equal to 0, determining that the first terminal and the second terminal are completely uncorrelated; if the correlation coefficient is greater than 0 and less than 1, determining that the first terminal and the second terminal have a correlation proportional to the correlation coefficient; and if the correlation coefficient is equal to 1, determining that the first terminal is completely correlated with the second terminal.
In an embodiment, the step S302 may specifically determine the correlation coefficient between the terminals by:
respectively carrying out normalization processing on RSRP values of beams in the first target beam and the second target beam, and specifically, respectively calculating the sum of signal intensities of all beams in the first target beam and the second target beam; dividing the sum of the signal intensities and the beams in the first target beam and the second target beam respectively to perform normalization processing.
For example, the beams in the first target beam are normalized by:α 1,i normalized RSRP value, β for beam i in the first target beam 1,i Signal strength for beam i in the first target beam; the beam normalization process in the second target beam is similar to the beam in the first target beam;
determining a correlation coefficient between the first terminal and the second terminal according to the normalized RSRP values of the beams in the first target beam and the second target beam, and particularly determining that the correlation coefficient is 0 when the number of the beams in the first target beam and the second target beam is equal to 0; in the case that the number of beams in the first target beam and the second target beam is greater than or equal to 1, the correlation coefficient of the first terminal and the second terminal may be specifically determined by:
wherein ρ is 1,2 For the correlation coefficient, α 1,m Normalized RSRP value, α, for beam m in the first target beam 2,m And normalizing the RSRP value of the beam M in the second target beam, wherein M is the number of the beams in the first target beam or the second target beam.
In the embodiment of the application, the base station transmits downlink beam measurement signals in a beam scanning mode, and the terminal feeds back the beam serial numbers and RSRP values of a plurality of beams with strongest signals. For all beams fed back by each terminal, the base station normalizes all RSRP values thereof based on the sum of the signal strengths of all beams. For any two terminals, if the number of the fed back beams with the same serial number is greater than 0, the base station calculates a correlation coefficient according to the beams with the same serial number and corresponding normalized RSRP values in the fed back beams of the two terminals. The correlation coefficient value ranges from 0 to 1,0 indicating complete uncorrelation and 1 indicating complete correlation. If the number of beams with the same serial number fed back is equal to 0, the correlation coefficient of the two terminals is considered to be 0.
For all beams fed back by each terminal, the base station normalizes all RSRP values thereof based on the sum of the signal strengths of all beams. For any two terminals, the base station calculates the correlation coefficient according to the same serial number beam and the corresponding normalized RSRP value in the feedback beams of the two terminals. The correlation coefficient calculation according to the present application includes, but is not limited to, implementation on devices and chips such as digital signal processors (DSP, digital Signal Processor), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), and application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC).
Fig. 4 is a flowchart of correlation coefficient calculation based on beam measurement feedback according to an embodiment of the present application, as shown in fig. 4, specifically including the following steps:
step S401, a base station sends downlink beam measurement signals in a beam scanning mode, and a terminal feeds back beam serial numbers and RSRP values of a plurality of strongest beams;
step S402, the base station normalizes the RSRP values of the beams fed back by the terminals, specifically, for all the beams fed back by each terminal, the base station normalizes all the RSRP values based on the sum of the signal intensities of all the beams;
step S403, judging whether the number of the beams with the same serial numbers fed back by the two terminals is larger than 0, if yes, executing step S404, otherwise executing step S405;
step S404, for any two terminals, if the number of the fed back beams with the same serial number is greater than 0, the base station calculates a correlation coefficient according to the beams with the same serial number and corresponding normalized RSRP values in the fed back beams of the two terminals;
in step S405, if the number of fed back beams with the same sequence number is equal to 0, the correlation coefficients of the two terminals are determined to be 0.
The calculation of the correlation coefficient is described in detail by way of example.
Suppose terminal 1 feeds back the strongest N 1 =4 beams, where N 1 The RSRP values of the beams are beta from big to small 1,i ,i＝1,…,N 1 . Terminal 2 feeds back the strongest N 2 =4 beams, where N 2 The RSRP values of the beams are beta from big to small 2,j ,j＝1,…,N 2 . N fed back for terminal 1 1 The base station normalizes all RSRP values of each beam, i.e., α, based on the sum of the signal strengths of all beams 1,i ＝β 1,i /β 1,1 ,i＝1,…,N 1 . N fed back for terminal 2 2 The base station normalizes all RSRP values of each beam, i.e., α, based on the sum of the signal strengths of all beams 2,j ＝β 2,j /β 2,1 ,j＝1,…,N 2 . Let N of terminal 1 1 N of individual beams and terminal 2 2 The beams are beams with the same serial numbers at the base station side, and M=N is set 1 ＝N 2 . Then, the base station calculates the correlation coefficient according to the M beams with the same sequence numbers and corresponding normalized RSRP values fed back by the two terminals. The calculation method is as follows:
the correlation coefficient value ranges from 0 to 1,0 indicating complete uncorrelation and 1 indicating complete correlation.
Suppose terminal 1 feeds back the strongest N 1 =4 beams, where N 1 The RSRP values of the beams are beta from big to small 1,i ,i＝1,…,N 1 . Terminal 2 feeds back the strongest N 2 =3 beams, where N 2 The RSRP values of the beams are beta from big to small 2,j ,j＝1,…,N 2 . N fed back for terminal 1 1 Individual beams, basisThe station normalizes all its RSRP values, i.e., alpha, based on the sum of the signal strengths of all beams 1,i ＝β 1,i /β 1,1 ,i＝1,…,N 1 . N fed back for terminal 2 2 The base station normalizes all RSRP values of each beam, i.e., α, based on the sum of the signal strengths of all beams 2,j ＝β 2,j /β 2,1 ,j＝1,…,N 2 . Let N of terminal 1 1 N of individual beams and terminal 2 2 Of the beams, the beams with the same sequence number have m=2. Specifically, the 2 nd beam of the terminal 1 and the 1 st beam of the terminal 2 are the same serial number beam at the base station side, and the 3 rd beam of the terminal 1 and the 3 rd beam of the terminal 2 are the same serial number beam at the base station side. Another alpha 1,2 ＝δ 1,1 ，α 2,1 ＝δ 2,1 ，α 1,3 ＝δ 1,2 ，α 2,3 ＝δ 2,2 . Then, the base station calculates the correlation coefficient according to the M beams with the same sequence numbers and corresponding normalized RSRP values fed back by the two terminals. The calculation method is as follows:
the correlation coefficient value ranges from 0 to 1,0 indicating complete uncorrelation and 1 indicating complete correlation.
Suppose terminal 1 feeds back the strongest N 1 =5 beams, where N 1 The RSRP values of the beams are beta from big to small 1,i ,i＝1,…,N 1 . Terminal 2 feeds back the strongest N 2 =3 beams, where N 2 The RSRP values of the beams are beta from big to small 2,j ,j＝1,…,N 2 . N fed back for terminal 1 1 The base station normalizes all RSRP values of each beam, i.e., α, based on the sum of the signal strengths of all beams 1,i ＝β 1,i /β 1,1 ,i＝1,…,N 1 . N fed back for terminal 2 2 The base station normalizes all RSRP values of each beam, i.e., α, based on the sum of the signal strengths of all beams 2,j ＝β 2,j /β 2,1 ,j＝1,…,N 2 . Let N of terminal 1 1 Individual beamsN of terminal 2 2 The number of beams with the same sequence number is equal to 0 in the beams. Then consider the correlation coefficient of the two terminals as ρ 1,2 =0, i.e. completely uncorrelated.
According to another embodiment of the present application, there is also provided a correlation determining apparatus of a terminal, applied to a base station, and fig. 5 is a block diagram of the correlation determining apparatus of a terminal according to an embodiment of the present application, as shown in fig. 5, including:
a transmitting module 52, configured to transmit the downlink beam measurement signal in a beam scanning manner;
an obtaining module 54, configured to obtain a first beam set with a maximum signal strength fed back by a first terminal according to the downlink beam measurement signal, and obtain a second beam set with a maximum signal strength fed back by a second terminal according to the downlink beam measurement signal, where the first beam set and the second beam set each include a plurality of beams;
an extracting module 56, configured to extract a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set;
a determining module 58 is configured to determine a correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
Fig. 6 is a block diagram of a correlation determining apparatus of a terminal according to an alternative embodiment of the present application, and as shown in fig. 6, the determining module 58 includes:
a first determining submodule 62, configured to determine a correlation coefficient between the first terminal and the second terminal according to the first target beam and the second target beam;
a second determining sub-module 64, configured to determine a correlation between the first terminal and the second terminal according to the correlation coefficient.
In one embodiment, the second determination submodule 64 is also used to
If the correlation coefficient is equal to 0, determining that the first terminal and the second terminal are completely uncorrelated;
if the correlation coefficient is greater than 0 and less than 1, determining that the first terminal and the second terminal have a correlation proportional to the correlation coefficient;
and if the correlation coefficient is equal to 1, determining that the first terminal is completely correlated with the second terminal.
In one embodiment, the first determination submodule 62 includes:
the normalization unit is used for performing normalization processing on RSRP values of beams in the first target beam and the second target beam respectively;
and the determining unit is used for determining the correlation coefficient of the first terminal and the second terminal according to the normalized RSRP values of the beams in the first target beam and the second target beam.
In an embodiment, the determining unit is further configured to determine, when the number of beams in the first target beam and the second target beam is greater than or equal to 1, a correlation coefficient between the first terminal and the second terminal according to the normalized RSRP values of the beams in the first target beam and the second target beam:
wherein ρ is 1,2 For the correlation coefficient, α 1,m Normalized RSRP value, α, for a beam in the first target beam 2,m For the normalized RSRP value of the beam in the second target beam, M is the number of beams in the first target beam or the second target beam;
and determining that the correlation coefficient is 0 when the number of beams in the first target beam and the second target beam is equal to 0.
In an embodiment, the normalization unit is further configured to select a sum of signal intensities of all beams in the first target beam and the second target beam respectively; dividing the sum of the signal intensities and the beams in the first target beam and the second target beam respectively to perform normalization processing.
Embodiments of the present application also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
An embodiment of the application also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In an exemplary embodiment, the electronic apparatus may further include a transmission device connected to the processor, and an input/output device connected to the processor.
Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. The method for determining the relevance of the terminal is applied to a base station and is characterized by comprising the following steps:
transmitting downlink beam measurement signals in a beam scanning mode;
acquiring a first beam set with the maximum signal intensity fed back by a first terminal according to the downlink beam measurement signal, and acquiring a second beam set with the maximum signal intensity fed back by a second terminal according to the downlink beam measurement signal, wherein the first beam set and the second beam set both comprise a plurality of beams;
extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set;
and determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
2. The method of claim 1, wherein determining the correlation of the first terminal and the second terminal from the first target beam and the second target beam comprises:
determining a correlation coefficient of the first terminal and the second terminal according to the first target beam and the second target beam;
and determining the correlation between the first terminal and the second terminal according to the correlation coefficient.
3. The method of claim 2, wherein determining the correlation of the first terminal with the second terminal based on the correlation coefficient comprises:
if the correlation coefficient is equal to 0, determining that the first terminal and the second terminal are completely uncorrelated;
if the correlation coefficient is greater than 0 and less than 1, determining that the first terminal and the second terminal have a correlation proportional to the correlation coefficient;
and if the correlation coefficient is equal to 1, determining that the first terminal is completely correlated with the second terminal.
4. The method of claim 2, wherein determining the correlation coefficient of the first terminal and the second terminal from the first target beam and the second target beam comprises:
respectively carrying out normalization processing on Reference Signal Received Power (RSRP) values of beams in the first target beam and the second target beam;
and determining the correlation coefficient of the first terminal and the second terminal according to the normalized RSRP values of the beams in the first target beam and the second target beam.
5. The method according to claim 4, wherein the method further comprises:
under the condition that the number of beams in the first target beam and the second target beam is greater than or equal to 1, determining a correlation coefficient of the first terminal and the second terminal according to the normalized RSRP values of the beams in the first target beam and the second target beam:
wherein ρ is 1,2 For the correlation coefficient, α 1,m Normalized RSRP value, α, for a beam in the first target beam 2,m For the normalized RSRP value of the beam in the second target beam, M is the number of beams in the first target beam or the second target beam;
and determining that the correlation coefficient is 0 when the number of beams in the first target beam and the second target beam is equal to 0.
6. The method of claim 4, wherein normalizing RSRP values of beams in the first and second target beams, respectively, comprises:
respectively calculating the sum of the signal intensities of all beams in the first target beam and the second target beam;
dividing the sum of the signal intensities and the beams in the first target beam and the second target beam respectively to perform normalization processing.
7. A correlation determining apparatus of a terminal, applied to a base station, comprising:
the transmitting module is used for transmitting downlink beam measurement signals in a beam scanning mode;
the acquisition module is used for acquiring a first beam set with the maximum signal intensity fed back by the first terminal according to the downlink beam measurement signal and acquiring a second beam set with the maximum signal intensity fed back by the second terminal according to the downlink beam measurement signal, wherein the first beam set and the second beam set both comprise a plurality of beams;
the extraction module is used for extracting a first target beam and a second target beam with the same sequence number from the first beam set and the second beam set;
and the determining module is used for determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
8. The apparatus of claim 7, wherein the means for determining comprises:
a first determining submodule, configured to determine a correlation coefficient between the first terminal and the second terminal according to the first target beam and the second target beam;
and the second determining submodule is used for determining the correlation between the first terminal and the second terminal according to the correlation coefficient.
9. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program, wherein the computer program is arranged to execute the method of any of the claims 1 to 6 when run.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of any of the claims 1 to 6.
CN202210225911.9A 2022-03-07 2022-03-07 Method and device for determining relevance of terminal, storage medium and electronic device Pending CN116782250A (en)

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EP3394988A4 (en) * 2015-12-23 2019-06-26 Nokia Solutions and Networks Oy Feedback of sparse correlation matrix for multiple-input and multiple-output (mimo) wireless networks
CN108347272B (en) * 2017-01-25 2020-12-15 华为技术有限公司 Method and equipment for communication based on beam group
US20210111773A1 (en) * 2017-03-23 2021-04-15 Ntt Docomo, Inc. Method for feedback of correlation of beams in wireless communication system and user equipment
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US10917184B2 (en) * 2018-05-29 2021-02-09 Qualcomm Incorporated Computing and reporting a relevance metric for a positioning beacon beam
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