WO2023169099A1

WO2023169099A1 - Terminal correlation determination method and device, storage medium, and electronic device

Info

Publication number: WO2023169099A1
Application number: PCT/CN2023/074015
Authority: WO
Inventors: 魏浩
Original assignee: 中兴通讯股份有限公司
Priority date: 2022-03-07
Filing date: 2023-01-31
Publication date: 2023-09-14
Also published as: CN116782250A

Abstract

Embodiments of the present invention provide a terminal correlation determination method and device, a storage medium, and an electronic device. The method comprises: sending a downlink beam measurement signal in a mode of beam scanning (S202); acquiring a first beam set with the largest signal strength fed back by a first terminal according to the downlink beam measurement signal, and acquiring a second beam set with the largest signal strength fed back by a second terminal according to the downlink beam measurement signal (S204); extracting a first target beam and a second target beam having the same serial number from the first beam set and the second beam set (S206); and determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam (S208). The problem in the prior art that a base station determining the correlation between the terminals according to an angular distance between strongest beams fed back by the terminals has high complexity and overhead can be solved, the correlation between the terminals is determined on the basis of beams fed back by the beam measurement signals, the operation is simple, and the overhead is reduced.

Description

Terminal correlation determination method, device, storage medium and electronic device

Cross-references to related applications

This disclosure is based on the Chinese patent application CN202210225911.9 with the invention title "Terminal correlation determination method, device, storage medium and electronic device" submitted on March 7, 2022, and claims the priority of this patent application, which is incorporated by reference. The entire disclosure is incorporated into this disclosure.

Technical field

Embodiments of the present disclosure relate to the field of communications, and specifically, to a terminal correlation determination method, device, storage medium, and electronic device.

Background technique

In wireless communications, base stations use Multi-User Multiple Input Multiple Output (MU-MIMO) technology to simultaneously serve multiple terminals on the same time-frequency resources to achieve air-to-air allocation pairing and data transmission. For high-frequency millimeter wave communications, the base station will use beam scanning to send downlink beam measurement signals. The terminal will feedback the received signal strength of several beams. The base station will perform beam matching and transmission signals to the terminal based on the beam strength fed back by the terminal. Generally speaking, terminals matching the same beam have strong correlation and are not suitable for space allocation pairing. For terminals matching different beams, when the base station schedules uplink measurement signals, their equivalent channels have already experienced spatial filtering of different beams. Therefore, the base station cannot calculate the correlation coefficient between terminals based on the uplink channel measurement information in low-frequency communication. In the related technology, the base station determines the correlation between terminals based on the angular distance between the strongest beams fed back by the terminals, which is very complex and expensive.

In the related technology, the base station determines the correlation between terminals based on the angular distance between the strongest beams fed back by the terminals, which is very complex and expensive. No solution has been proposed yet.

Contents of the invention

Embodiments of the present disclosure provide a terminal correlation determination method, device, storage medium and electronic device to at least solve the problem of the complexity of determining the correlation between terminals based on the angular distance between the strongest beams fed back by the terminals in the related technology. and high overhead issues.

According to an embodiment of the present disclosure, a terminal correlation determination method is provided, which is applied to a base station and includes:

Use beam scanning to send downlink beam measurement signals;

Obtain the first beam set with the largest signal strength fed back by the first terminal based on the downlink beam measurement signal, and obtain the second beam set with the maximum signal strength fed back by the second terminal based on the downlink beam measurement signal, the first beam Both the set and the second beam set include a plurality of beams;

Extract the first target beam and the second target beam with the same serial number from the first beam set and the second beam set;

The correlation between the first terminal and the second terminal is determined according to the first target beam and the second target beam.

According to another embodiment of the present disclosure, a terminal correlation determination device is also provided, which is applied to a base station and includes:

The sending module is configured to send downlink beam measurement signals using beam scanning;

The acquisition module is configured to acquire the first beam set with the largest signal strength fed back by the first terminal based on the downlink beam measurement signal, and acquire the second beam set with the largest signal strength fed back by the second terminal based on the downlink beam measurement signal, Place Both the first beam set and the second beam set include multiple beams;

An extraction module configured to extract the first target beam and the second target beam with the same serial number from the first beam set and the second beam set;

A determining module configured to determine the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.

According to yet another embodiment of the present disclosure, a computer-readable storage medium is also provided, and a computer program is stored in the storage medium, wherein the computer program is configured to execute any of the above method embodiments when running. steps in.

According to yet another embodiment of the present disclosure, an electronic device is also provided, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to run the computer program to perform any of the above. Steps in method embodiments.

Description of the drawings

Figure 1 is a hardware structure block diagram of a mobile terminal according to a terminal correlation determination method according to an embodiment of the present disclosure;

Figure 2 is a flow chart of a correlation determination method of a terminal according to an embodiment of the present disclosure;

Figure 3 is a flow chart of a correlation determination method of a terminal according to an optional embodiment of the present disclosure;

Figure 4 is a flow chart of correlation coefficient calculation based on beam measurement feedback according to an embodiment of the present disclosure;

Figure 5 is a block diagram of a correlation determining device of a terminal according to an embodiment of the present disclosure;

FIG. 6 is a block diagram of a correlation determining device of a terminal according to an optional embodiment of the present disclosure.

Detailed ways

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and embodiments.

It should be noted that the terms "first", "second", etc. in the description and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

The method embodiments provided in the embodiments of the present disclosure can be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 is a hardware structural block diagram of a mobile terminal according to the terminal correlation determination method according to an embodiment of the present disclosure. As shown in Figure 1, the mobile terminal may include one or more (only Shown is a) processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the above-mentioned mobile terminal may also include a processor for storing data. Transmission device 106 and input and output device 108 for communication functions. Persons of ordinary skill in the art can understand that the structure shown in Figure 1 is only illustrative, and it does not limit the structure of the above-mentioned mobile terminal. 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 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the correlation determination method of the terminal in the embodiment of the present disclosure. The processor 102 runs the computer program stored in the memory 104, Thereby executing various functional applications and business chain address pool slicing processing, that is, implementing the above 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 located remotely relative to the processor 102, and these remote memories may be connected to the mobile terminal through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.

The transmission device 106 is used to receive or send data via a network. Specific examples of the above-mentioned network 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, NIC for short), which can be connected 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 (Radio Frequency, RF for short) module, which is used to communicate with the Internet wirelessly.

In this embodiment, a correlation determination method for a terminal running on the above-mentioned mobile terminal or network architecture is provided. Figure 2 is a flow chart of a correlation determination method for a terminal according to an embodiment of the present disclosure. As shown in Figure 2, The execution subject of this method is a base station, which can be a 5G base station specifically. The process includes the following steps:

Step S202: Send downlink beam measurement signals using beam scanning;

Step S204: Obtain the first beam set with the largest signal strength fed back by the first terminal based on the downlink beam measurement signal, and obtain the second beam set with the maximum signal strength fed back by the second terminal based on the downlink beam measurement signal. Both the first beam set and the second beam set include multiple beams;

Step S206: Extract the first target beam and the second target beam with the same serial number from the first beam set and the second beam set;

Step S208: Determine the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.

Through the above steps S202 to S208, the problem in the related technology that the base station determines the correlation between the terminals based on the angular distance between the strongest beams fed back by the terminals, which is very complex and expensive, can be solved. The beam determination terminal based on the beam measurement signal feedback The correlation between them makes the operation simple and reduces the overhead.

Figure 3 is a flow chart of a terminal correlation determination method according to an optional embodiment of the present disclosure. As shown in Figure 3, the above step S208 may specifically include:

S302. Determine the correlation coefficient between the first terminal and the second terminal according to the first target beam and the second target beam;

S304, determine the correlation between the first terminal and the second terminal according to the correlation coefficient. Specifically, if the correlation coefficient is equal to 0, it is determined that the first terminal and the second terminal are not correlated at all; If the correlation coefficient is greater than 0 and less than 1, it is determined that the first terminal and the second terminal have a correlation proportional to the correlation coefficient; if the correlation coefficient is equal to 1, it is determined that the first terminal and the second terminal have a correlation proportional to the correlation coefficient. The second terminal is completely related.

In an embodiment, the above step S302 may specifically determine the correlation coefficient between terminals in the following manner:

Normalize the RSRP values of the beams in the first target beam and the second target beam respectively. Specifically, calculate the sum of the signal strengths of all the beams in the first target beam and the second target beam respectively; Divide the sum of the first target beam, the second target beam and the signal strength to perform normalization processing.

For example, normalize the beams in the first target beam by: α _{1, i} is the normalized RSRP value of beam i in the first target beam, β _{1, i} is the signal strength of beam i in the first target beam; the method of normalizing the beam in the second target beam is the same as that of the first target beam. The beams in a target beam are similar;

Determine the 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. Specifically, in the first target beam with the second target beam in the beam When the number of beams in the first target beam and the second target beam is greater than or equal to 1, the correlation coefficient may be determined in the following manner: The correlation coefficient between the first terminal and the second terminal:

Wherein, ρ _1,2 is the correlation coefficient, α _1,m is the normalized RSRP value of beam m in the first target beam, α _2,m is the normalized RSRP value of beam m in the second target beam RSRP value after , M is the number of beams in the first target beam or the second target beam.

In the embodiment of the present disclosure, the base station uses beam scanning to send downlink beam measurement signals, and the terminal feeds back the beam sequence numbers and RSRP values of the strongest beams. For all beams fed back by each terminal, the base station normalizes all RSRP values based on the sum of the signal strengths of all beams. For any two terminals, if the number of feedback beams with the same sequence number is greater than 0, the base station calculates the correlation coefficient based on the same sequence number beams and the corresponding normalized RSRP values in the feedback beams of the two terminals. The correlation coefficient value ranges from 0 to 1, with 0 indicating no correlation at all and 1 indicating perfect correlation. If the number of feedback beams with the same sequence number 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 based on the sum of the signal strengths of all beams. For any two terminals, the base station calculates the correlation coefficient based on the same sequence number beam and the corresponding normalized RSRP value in the feedback beams of the two terminals. The calculation of correlation coefficients involved in this disclosure includes, but is not limited to, calculations in digital signal processors (DSP, Digital Signal Processor), field programmable gate arrays (Field Programmable Gate Array, referred to as FPGA), and application specific integrated circuits (Application Specific Integrated Circuit). , abbreviated as ASIC) and other devices and chips.

Figure 4 is a flow chart of correlation coefficient calculation based on beam measurement feedback according to an embodiment of the present disclosure. As shown in Figure 4, the specific steps are as follows:

Step S401: The base station uses beam scanning to send downlink beam measurement signals, and the terminal feeds back the beam sequence numbers and RSRP values of the 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 RSRP values based on the sum of the signal strengths of all the beams;

Step S403: Determine whether the number of beams with the same sequence number fed back by the two terminals is greater than 0. If the judgment result is yes, execute step S404; otherwise, execute step S405;

Step S404, for any two terminals, if the number of feedback beams with the same sequence number is greater than 0, the base station calculates the correlation coefficient based on the beams with the same sequence number and the corresponding normalized RSRP values in the feedback beams of the two terminals;

Step S405: If the number of fed back beams with the same sequence number is equal to 0, it is determined that the correlation coefficient of the two terminals is 0.

The following example explains the calculation of the correlation coefficient in detail.

Assume that terminal 1 feeds back N ₁ =4 beams with the strongest feedback, and the RSRP values of N ₁ beams from large to small are β _{1 , i} , i=1,..., N ₁ . Terminal 2 feeds back the N ₂ =4 beams with the strongest feedback, and the RSRP values of the N ₂ beams from large to small are β _{2 , j} , j=1,..., N ₂ . For N ₁ beams fed back by terminal 1, the base station normalizes all RSRP values based on the sum of the signal strengths of all beams, that is, α _1,i =β _1,i /β _1,1 ,i=1 ,…,N ₁ . For the N ₂ beams fed back by terminal 2, the base station Based on the sum of the signal strengths of all beams, all RSRP values are normalized, that is, α _{2, j} = β _{2, j} / β ₂ , 1, j = 1,..., N ₂ . Assume that the N ₁ beams of terminal 1 and the N ₂ beams of terminal 2 are beams with the same sequence number on the base station side, and M=N ₁ =N ₂ . Therefore, the base station calculates the correlation coefficient based on the M beams with the same sequence number fed back by the two terminals and the corresponding normalized RSRP values. The calculation method is:

The correlation coefficient value ranges from 0 to 1, with 0 indicating no correlation at all and 1 indicating perfect correlation.

Assume that terminal 1 feeds back N ₁ =4 beams with the strongest feedback, and the RSRP values of N ₁ beams from large to small are β _{1 , i} , i=1,..., N ₁ . Terminal 2 feeds back N ₂ =3 beams with the strongest feedback, among which the RSRP values of N ₂ beams from large to small are β _{2 , j} , j=1,..., N ₂ . For N ₁ beams fed back by terminal 1, the base station normalizes all RSRP values based on the sum of the signal strengths of all beams, that is, α _1,i =β _1,i /β _1,1 ,i=1 ,…,N ₁ . For the N ₂ beams fed back by terminal 2, the base station normalizes all RSRP values based on the sum of the signal strengths of all beams, that is, α _{2, j} = β _{2, j} / β _{2, 1} , j = 1 ,…,N ₂ . Assume that among the N ₁ beams of terminal 1 and the N ₂ beams of terminal 2, there are M=2 beams with the same sequence number. Specifically, the second beam of terminal 1 and the first beam of terminal 2 are beams with the same serial number on the base station side, and the third beam of terminal 1 and the third beam of terminal 2 are beams with the same serial number on the base station side. In addition, α _1,2 = δ _1,1 , α _2,1 = δ _2,1 , α _1,3 = δ _1,2 , α _2,3 = δ _2,2 . Therefore, the base station calculates the correlation coefficient based on the M beams with the same sequence number fed back by the two terminals and the corresponding normalized RSRP values. The calculation method is:

Correlation coefficient values range from 0 to 1, with 0 indicating no correlation at all and 1 indicating perfect correlation.

Assume that terminal 1 feeds back N ₁ =5 beams with the strongest feedback, and the RSRP values of N ₁ beams from large to small are β _{1, i} , i=1,..., N ₁ . Terminal 2 feeds back N ₂ =3 beams with the strongest feedback, among which the RSRP values of N ₂ beams from large to small are β _{2 , j} , j=1,..., N ₂ . For N ₁ beams fed back by terminal 1, the base station normalizes all RSRP values based on the sum of the signal strengths of all beams, that is, α _1,i =β _1,i /β _1,1 ,i=1 ,…,N ₁ . For the N ₂ beams fed back by terminal 2, the base station normalizes all RSRP values based on the sum of the signal strengths of all beams, that is, α _{2, j} = β _{2, j} / β _{2, 1} , j = 1 ,…,N ₂ . It is assumed that among the N ₁ beams of terminal 1 and the N ₂ beams of terminal 2, the number of beams with the same serial number is equal to 0. Therefore, it is considered that these two The correlation coefficient of the terminal is ρ _1,2 =0, that is, there is no correlation at all.

According to another embodiment of the present disclosure, a correlation determination device for a terminal is also provided, which is applied to a base station. Figure 5 is a block diagram of a correlation determination device for a terminal according to an embodiment of the present disclosure. As shown in Figure 5, it includes :

The sending module 52 is configured to send the downlink beam measurement signal in a beam scanning manner;

The acquisition module 54 is configured to acquire the first beam set with the largest signal strength fed back by the first terminal based on the downlink beam measurement signal, and acquire the second beam set with the largest signal strength fed back by the second terminal based on the downlink beam measurement signal. , both the first beam set and the second beam set include multiple beams;

The extraction module 56 is configured to extract the first target beam and the second target beam with the same serial number from the first beam set and the second beam set;

The determination module 58 is configured to determine the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.

Figure 6 is a block diagram of a terminal's correlation determination device according to an optional embodiment of the present disclosure. As shown in Figure 6, the determination module 58 includes:

The first determination sub-module 62 is configured to determine the correlation coefficient between the first terminal and the second terminal according to the first target beam and the second target beam;

The second determination sub-module 64 is configured to determine the correlation between the first terminal and the second terminal according to the correlation coefficient.

In one embodiment, the second determination sub-module 64 is also configured to

If the correlation coefficient is equal to 0, it is determined that the first terminal and the second terminal are completely unrelated;

If the correlation coefficient is greater than 0 and less than 1, it is determined that the first terminal and the second terminal have the correlation relationship with the

number is directly proportional to the correlation;

If the correlation coefficient is equal to 1, it is determined that the first terminal and the second terminal are completely correlated.

In an embodiment, the first determination sub-module 62 includes:

A normalization unit configured to normalize the RSRP values of the beams in the first target beam and the second target beam;

A determining unit configured to determine the correlation coefficient between the first terminal and the second terminal based on 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 the number of beams in the first target beam and the second target beam according to the first target beam and the second target beam when the number of beams is greater than or equal to 1. The normalized RSRP value of the beam in the second target beam determines the correlation coefficient between the first terminal and the second terminal:

Wherein, ρ _1,2 is the correlation coefficient, α _1,m is the normalized RSRP value of the beam in the first target beam, α _2,m is the normalized RSRP value of the beam in the second target beam. The RSRP value after , M is the number of beams in the first target beam or the second target beam;

When the number of beams in the first target beam and the second target beam is equal to 0, the correlation coefficient is determined to be 0.

In one embodiment, the normalization unit is further configured to select the sum of the signal strengths of all beams in the first target beam and the second target beam respectively; The beams in the second target beam are divided by the sum of the signal strengths to perform normalization processing.

Embodiments of the present disclosure also provide a computer-readable storage medium that stores a computer program, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

In an exemplary embodiment, the computer-readable storage medium may include but is not limited to: U disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM) , mobile hard disk, magnetic disk or optical disk and other media that can store computer programs.

Embodiments of the present disclosure also provide an electronic device, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

In an exemplary embodiment, the above-mentioned electronic device may further include a transmission device and an input-output device, wherein the transmission device is connected to the above-mentioned processor, and the input-output device is connected to the above-mentioned processor.

For specific examples in this embodiment, reference may be made to the examples described in the above-mentioned embodiments and exemplary implementations, and details will not be described again in this embodiment.

Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present disclosure can be implemented using general-purpose computing devices, and they can be concentrated on a single computing device, or distributed across a network composed of multiple computing devices. They may be implemented in program code executable by a computing device, such that they may be stored in a storage device for execution by the computing device, and in some cases may be executed in a sequence different from that shown herein. Or the described steps can be implemented by making them into individual integrated circuit modules respectively, or by making multiple modules or steps among them into a single integrated circuit module. As such, the present disclosure is not limited to any specific combination of hardware and software.

The above descriptions are only preferred embodiments of the present disclosure and are not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the principles of this disclosure shall be included in the protection scope of this disclosure.

Claims

A terminal correlation determination method, applied to base stations, including:

Use beam scanning to send downlink beam measurement signals;

Obtain the first beam set with the largest signal strength fed back by the first terminal based on the downlink beam measurement signal, and obtain the second beam set with the maximum signal strength fed back by the second terminal based on the downlink beam measurement signal, the first beam Both the set and the second beam set include a plurality of beams;

Extract the first target beam and the second target beam with the same serial number from the first beam set and the second beam set;

The correlation between the first terminal and the second terminal is determined according to the first target beam and the second target beam.
The method according to claim 1, wherein determining the correlation between the first terminal and the second terminal according to the first target beam and the second target beam includes:

Determine the correlation coefficient between the first terminal and the second terminal according to the first target beam and the second target beam;

The correlation between the first terminal and the second terminal is determined according to the correlation coefficient.
The method according to claim 2, wherein determining the correlation between the first terminal and the second terminal according to the correlation coefficient includes:

If the correlation coefficient is equal to 0, it is determined that the first terminal and the second terminal are completely unrelated;

If the correlation coefficient is greater than 0 and less than 1, it is determined that the first terminal and the second terminal have a correlation that is proportional to the correlation coefficient;

If the correlation coefficient is equal to 1, it is determined that the first terminal and the second terminal are completely correlated.
The method according to claim 2, wherein determining the correlation coefficient of the first terminal and the second terminal according to the first target beam and the second target beam includes:

Normalize the reference signal received power RSRP values of the beams in the first target beam and the second target beam respectively;

The correlation coefficient of the first terminal and the second terminal is determined according to the normalized RSRP values of the beams in the first target beam and the second target beam.
The method of claim 4, further comprising:

When the number of beams in the first target beam and the second target beam is greater than or equal to 1, according to the normalized RSRP values of the beams in the first target beam and the second target beam Determine the correlation coefficient between the first terminal and the second terminal:

Wherein, ρ 1,2 is the correlation coefficient, α 1,m is the normalized RSRP value of the beam in the first target beam, α 2,m is the normalized RSRP value of the beam in the second target beam. The RSRP value after , M is the number of beams in the first target beam or the second target beam;

When the number of beams in the first target beam and the second target beam is equal to 0, the correlation coefficient is determined to be 0.
The method according to claim 4, wherein normalizing the RSRP values of the beams in the first target beam and the second target beam respectively includes:

Calculate the sum of signal strengths of all beams in the first target beam and the second target beam respectively;

The beams in the first target beam and the second target beam are divided by the sum of the signal strengths respectively to perform normalization processing.
A terminal correlation determination device, applied to a base station, including:

The sending module is configured to send downlink beam measurement signals using beam scanning;

The acquisition module is configured to acquire the first beam set with the largest signal strength fed back by the first terminal based on the downlink beam measurement signal, and acquire the second beam set with the largest signal strength fed back by the second terminal based on the downlink beam measurement signal, The first beam set and the second beam set each include multiple beams;

An extraction module configured to extract the first target beam and the second target beam with the same serial number from the first beam set and the second beam set;

A determining module configured to determine the correlation between the first terminal and the second terminal according to the first target beam and the second target beam.
The device according to claim 7, wherein the determining module includes:

A first determination submodule configured to determine the correlation coefficient between the first terminal and the second terminal according to the first target beam and the second target beam;

The second determination sub-module is configured to determine the correlation between the first terminal and the second terminal according to the correlation coefficient.
A computer-readable storage medium in which a computer program is stored, wherein the computer program is configured to execute the method described in any one of claims 1 to 6 when running.
An electronic device includes a memory and a processor, a computer program is stored in the memory, and the processor is configured to run the computer program to perform the method described in any one of claims 1 to 6.