CN115087005B

CN115087005B - Uplink signal detection method and device of flexible frame structure simulation system

Info

Publication number: CN115087005B
Application number: CN202210698305.9A
Authority: CN
Inventors: 曹艳霞; 王金石; 张忠皓
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-06-20
Filing date: 2022-06-20
Publication date: 2024-04-12
Anticipated expiration: 2042-06-20
Also published as: CN115087005A

Abstract

The application discloses an uplink signal detection method and device of a flexible frame structure simulation system, relates to the technical field of communication, and is used for comprehensively and accurately detecting the signal quality of an uplink signal received by a cell. The flexible frame structure simulation system comprises a target cell and an interference cell. The method comprises the following steps: determining the signal strength of a first uplink signal received by a target cell, a first interference value of a plurality of interference uplink signals on the first uplink signal and a second interference value of noise on the first uplink signal; according to a preset neural network algorithm, determining an interference elimination factor of the cross interference terminal, and calculating a third interference value of an interference downlink signal to a first uplink signal according to the interference elimination factor, the signal transmitting power of an interference cell and the link loss between a target cell and the interference cell; and accurately and comprehensively determining the signal-to-noise ratio of the first uplink signal according to the signal strength, the first interference value, the second interference value and the third interference value of the first uplink signal.

Description

Uplink signal detection method and device of flexible frame structure simulation system

Technical Field

The embodiment of the application relates to the technical field of communication, in particular to an uplink signal detection method and device of a flexible frame structure simulation system.

Background

In a communication system having a time division duplex (time division duplexing, TDD) mode, a cell may use different time slots of the same frequency channel (i.e., carrier) to enable transmission and reception of signals. That is, the cell may allocate uplink and downlink of the communication system to the same spectrum through the TDD technology. The uplink and the downlink occupy different time periods respectively, so that wireless resources can be fully used, and the asymmetric characteristics of different services are adapted.

In a communication system with TDD mode, different subframe configuration structures are defined, which may include DSUUU, DDSUU and DDDSU, for example. Where D denotes a Downlink slot (Downlink slot) refers to a slot for Downlink transmission. S denotes a Special slot (Special slot) refers to a slot for downlink transmission or uplink transmission. U denotes an Uplink slot (Uplink slot) and refers to a slot for Uplink transmission. In this way, the cell can flexibly select proper subframe structure configuration according to the uplink and downlink traffic carried by the cell, so that the uplink and downlink bandwidth transmission traffic configured by the subframe structure is used. However, when different cells adopt different subframe configuration structures, when the terminal uses the subframe to send uplink signals to the cells, the uplink signals received by the cells are interfered by the cross time slots. At this time, the uplink signal received by the cell needs to be detected to determine the signal quality of the uplink signal.

Disclosure of Invention

The application provides an uplink signal detection method and device of a flexible frame structure simulation system, which are used for comprehensively and accurately detecting uplink signals received by cells and determining the signal quality of the uplink signals.

In order to achieve the above purpose, the present application adopts the following technical scheme:

in a first aspect, an uplink signal detection method of a flexible frame structure simulation system is provided, where the flexible frame structure simulation system includes a target cell and an interference cell, a downlink signal sent by the interference cell interferes with a first uplink signal received by the target cell and from a target terminal, and the target cell is a serving cell of the target terminal, and the method includes: determining the signal strength of a first uplink signal, and determining a first interference value of a plurality of interference uplink signals on a first downlink signal and a second interference value of noise on the first uplink signal; according to a preset neural network algorithm, determining an interference elimination factor of a cross interference terminal taking an interference cell as a service cell, wherein transmission resources used by the cross interference terminal are the same as those used by a target terminal, and the interference elimination factor is used for representing the interference degree of a downlink signal received by the cross interference terminal on a first uplink signal; according to the interference elimination factor of the cross interference terminal, the signal transmitting power of the downlink signal sent by the interference terminal to the cross interference terminal and the link loss between the interference cell and the target cell, calculating a third interference value of the downlink signal received by the cross interference terminal on the first uplink signal; and determining the signal-to-noise ratio of the first uplink signal according to the signal strength, the first interference value, the second interference value and the third interference value of the first uplink signal.

Based on the technical scheme provided by the application, for the cell adopting the flexible frame structure, when the terminal uses the flexible frame to send the uplink signal to the cell, the uplink signal from the terminal received by the cell can be interfered by the downlink signal and the uplink signal of the adjacent cell. Therefore, in the embodiment of the present application, the interference cells may be divided into strong interference cells and weak interference cells according to the large-scale path loss with the target terminal, and the interference terminals may be divided into strong interference terminals and weak interference terminals. Then, the signal-to-noise ratio of the downlink signal from the terminal received by the cell is calculated according to interference values (which may also be referred to as interference power) of a plurality of interference sources (for example, downlink signal of the interfering cell, noise, uplink signal of the cross interference terminal, etc.) which generate interference to the uplink signal from the terminal received by the cell. Because the signal-to-noise ratio of the signal can reflect the signal quality of the signal, the technical scheme provided by the embodiment of the application can comprehensively and accurately detect the uplink signal received by the cell and is used for determining the signal quality of the uplink signal.

In a possible implementation manner, the plurality of interfering uplink signals include an uplink signal sent by a strong interference terminal and an uplink signal sent by a weak interference terminal, a large-scale path loss between the strong interference terminal and a target cell is greater than or equal to a preset threshold, and a large-scale path loss between the weak interference terminal and the target cell is less than the preset threshold, where the method for determining a first interference value of the plurality of interfering uplink signals on the first uplink signal specifically includes: calculating an interference value of an interference uplink signal sent by a strong interference terminal on a first uplink signal according to the signal transmitting power of the strong interference terminal, a channel matrix between the strong interference terminal and a target cell and a precoding matrix of the strong interference terminal; according to the ratio of the signal transmitting power of the weak interference terminal to the link loss between the weak interference terminal and the target cell, calculating the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal, wherein the first interference value is as follows: the sum of the interference value of the interference uplink signal sent by the strong interference terminal to the first uplink signal and the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal.

In a possible implementation manner, the method for determining the interference cancellation factor of the cross interference terminal according to the preset neural network algorithm specifically includes: acquiring configuration information of a target cell, configuration information of a target terminal, configuration information of an interference cell and configuration information of a cross interference terminal, wherein the configuration information comprises antenna configuration information and/or position information; and inputting the configuration information of the target cell, the configuration information of the target terminal, the configuration information of the interference cell and the configuration information of the cross interference terminal into a preset neural network model to obtain an interference elimination factor.

In a possible implementation manner, the method further includes: calculating the antenna gain of the target cell and the antenna gain of the interference cell through simulation, and determining the large-scale path loss between the target cell and the interference cell; and determining the link loss between the target cell and the interference cell according to the difference value between the large-scale path loss and the antenna gain of the target cell and the antenna gain of the interference cell.

In a possible implementation manner, the method further includes: establishing a channel matrix between a target terminal and a target cell through simulation; and determining a signal when an uplink signal sent by the target terminal reaches the target cell according to the signal transmitting power of the target terminal, the channel matrix between the target terminal and the target cell and the precoding matrix of the target terminal, and carrying out linear detection on the signal when the uplink signal sent by the target terminal reaches the target cell based on a preset detection algorithm to obtain a first uplink signal.

In a possible implementation manner, the signal strength of the first uplink signal satisfies a first formula, where the first formula is: s1=p|dhw| ² The method comprises the steps of carrying out a first treatment on the surface of the Wherein S1 is the signal strength of the first uplink signal, P is the signal transmitting power of the target terminal, D is the prediction detection matrix of the target cell, H is the channel matrix between the target cell and the target terminal, and W is the precoding matrix of the target terminal.

In a possible implementation manner, the signal-to-noise ratio of the first uplink signal satisfies a second formula, where the second formula is: sinr=s1/(s1+b1+b2+b3); wherein, SINR is the signal-to-noise ratio of the first uplink signal, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

In a second aspect, an uplink signal detection device of a flexible frame structure simulation system is provided, where the flexible frame structure simulation system includes a target cell and an interference cell, and a downlink signal sent by the interference cell interferes with a first uplink signal received by the target cell and coming from a target terminal, where the target cell is a serving cell of the target terminal, and the device may be used to implement the first aspect or any possible functional module of the method designed in the first aspect. The apparatus may implement the above aspects or functions performed in each of the possible designs, which may be implemented by hardware executing corresponding software. The hardware or software comprises one or more modules corresponding to the functions. Such as: the apparatus includes a determining unit and a processing unit.

And the determining unit is used for determining the signal strength of the first uplink signal and determining a first interference value of a plurality of interference uplink signals on the first downlink signal and a second interference value of noise on the first uplink signal.

And the processing unit is used for determining an interference elimination factor of the cross interference terminal taking the interference cell as the service cell according to a preset neural network algorithm, wherein transmission resources used by the cross interference terminal are the same as those used by the target terminal, and the interference elimination factor is used for representing the interference degree of the downlink signal received by the cross interference terminal on the first uplink signal.

The processing unit is further used for calculating a third interference value of the downlink signal received by the cross interference terminal on the first uplink signal according to the interference elimination factor of the cross interference terminal, the signal transmitting power of the downlink signal sent by the interference terminal to the cross interference terminal and the link loss between the interference cell and the target cell;

the processing unit is further configured to determine a signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value.

In this embodiment, reference may be made to the behavior function of the uplink signal detection method of the flexible frame structure simulation system provided by the first aspect or any possible design of the first aspect, and detailed description is not repeated here. Therefore, the uplink signal detection device of the flexible frame structure simulation system can achieve the same beneficial effects as the first aspect or any possible design of the first aspect.

In a possible implementation manner, the plurality of interference uplink signals include an uplink signal sent by a strong interference terminal and an uplink signal sent by a weak interference terminal, a large-scale path loss between the strong interference terminal and a target cell is greater than or equal to a preset threshold, a large-scale path loss between the weak interference terminal and the target cell is less than the preset threshold, and a determining unit is specifically configured to: calculating an interference value of an interference uplink signal sent by a strong interference terminal on a first uplink signal according to the signal transmitting power of the strong interference terminal, a channel matrix between the strong interference terminal and a target cell and a precoding matrix of the strong interference terminal; according to the ratio of the signal transmitting power of the weak interference terminal to the link loss between the weak interference terminal and the target cell, calculating the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal, wherein the first interference value is as follows: the sum of the interference value of the interference uplink signal sent by the strong interference terminal to the first uplink signal and the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal.

In a possible implementation manner, the processing unit is specifically configured to: acquiring configuration information of a target cell, configuration information of a target terminal, configuration information of an interference cell and configuration information of a cross interference terminal, wherein the configuration information comprises antenna configuration information and/or position information; and inputting the configuration information of the target cell, the configuration information of the target terminal, the configuration information of the interference cell and the configuration information of the cross interference terminal into a preset neural network model to obtain an interference elimination factor.

In a possible implementation manner, the determining unit is further configured to calculate, through simulation, an antenna gain of the target cell and an antenna gain of the interfering cell, and determine a large-scale path loss between the target cell and the interfering cell; and the processing unit is also used for determining the link loss between the target cell and the interference cell according to the difference value between the large-scale path loss and the antenna gain of the target cell and the antenna gain of the interference cell.

In a possible implementation manner, the apparatus further includes an establishing unit, configured to establish a channel matrix between the target cell and the target terminal through simulation; and the processing unit is used for determining the signal when the uplink signal sent by the target terminal reaches the target cell according to the signal transmitting power of the target terminal, the channel matrix between the target terminal and the target cell and the precoding matrix of the target terminal, and carrying out linear detection on the signal when the uplink signal sent by the target terminal reaches the target cell based on a preset detection algorithm to obtain a first uplink signal.

In a possible implementation manner, according to the signal transmitting power of the target terminal, the channel matrix between the target terminal and the target cell and the precoding matrix of the target cell, determining a signal when an uplink signal sent by the target terminal reaches the target cell, and based on a preset detection algorithm, performing linear detection on the signal when the uplink signal sent by the target terminal reaches the target cell, so as to obtain a first uplink signal.

In a possible implementation manner, the signal strength of the first uplink signal satisfies a first formula, where the first formula is: s1=p|dhw| ² The method comprises the steps of carrying out a first treatment on the surface of the Wherein S1 is the signal strength of the first uplink signal, P is the signal transmitting power of the target terminal, D is the prediction detection matrix of the target cell, H is the channel matrix between the target cell and the target terminal, and W is the precoding matrix of the target terminal. In a possible implementation manner, the signal-to-noise ratio of the first uplink signal satisfies a second formula, where the second formula is: sinr=s1/(s1+b1+b2+b3); wherein, SINR is the signal-to-noise ratio of the first uplink signal, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

In a third aspect, an uplink signal detection apparatus for a flexible frame structure simulation system is provided. The apparatus may implement the functions performed in the aspects or in the possible designs described above, which may be implemented by hardware, such as: in one possible design, the apparatus may include: a processor and a communication interface, the processor being operable to support the apparatus to carry out the functions involved in the first aspect or any one of the possible designs of the first aspect, for example: and the processor calculates a third interference value of the downlink signal sent by the interference cell to the first uplink signal according to the interference elimination factor of the cross interference terminal, the signal transmitting power of the downlink signal sent by the interference terminal to the cross interference terminal and the link loss between the interference cell and the target cell.

In yet another possible design, the apparatus may further include a memory for holding computer-executable instructions and data necessary for the apparatus. When the device is running, the processor executes the computer-executable instructions stored in the memory, so that the device performs any one of the possible uplink signal detection methods of the flexible frame structure simulation system in the first aspect or any one of the possible designs of the first aspect.

In a fourth aspect, a computer readable storage medium is provided, which may be a readable non-volatile storage medium, where computer instructions or a program are stored, which when run on a computer, cause the computer to perform the above first aspect or any one of the above aspects of the possible upstream signal detection method for designing the flexible frame structure simulation system.

In a fifth aspect, a computer program product is provided comprising instructions which, when run on a computer, enable the computer to perform the method of upstream signal detection of the flexible frame structure simulation system of the first aspect or any one of the possible designs of the aspects.

In a sixth aspect, a chip system is provided, where the chip system includes a processor and a communication interface, where the chip system may be configured to implement a function performed by the uplink signal detection device of the flexible frame structure simulation system in the first aspect or any of the possible designs of the first aspect, where the processor is configured to determine, for example, a signal strength of a first downlink signal received by a target terminal. In one possible design, the chip system further includes a memory for holding program instructions and/or data. The chip system may be composed of a chip, or may include a chip and other discrete devices, without limitation.

The technical effects of any one of the design manners of the second aspect to the sixth aspect may be referred to the technical effects of the first aspect, and will not be described herein.

Drawings

Fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of another communication system according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an uplink signal detection device 300 according to an embodiment of the present application;

fig. 4 is a flow chart of an uplink signal detection method provided in the embodiment of the present application;

Fig. 5 is a flowchart of a training method of a preset neural network model according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a neural network according to an embodiment of the present application;

fig. 7 is a flow chart of an uplink signal detection method of another flexible frame structure simulation system according to an embodiment of the present application;

fig. 8 is a schematic diagram of an uplink signal detection method of another flexible frame structure simulation system according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of another uplink signal detection device 90 according to an embodiment of the present application.

Detailed Description

In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and 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. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of embodiments of the present application as detailed in the accompanying claims.

It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, and/or components.

In order to ensure that the constructed cells can bring the maximum throughput gain, the communication quality of the planned communication system can be evaluated and analyzed in a simulation mode before the actual networking. For example, for a New Radio (NR) cell in a communication system having a TDD model, the NR cell uses a millimeter wave band for transmission data of signals. However, the millimeter wave band has poor penetrability, and in an environment with good isolation, the NR cell can adopt a flexible frame mode, and the data can be transmitted by using bandwidths corresponding to different subframe configuration structures. However, when the NR cell uses a flexible frame to perform signal transmission with the terminal, a problem of cross slot interference is introduced, which easily causes a decrease in system capacity.

The signal quality of the uplink signal received by the cell can be determined, typically by the signal-to-noise ratio. For example, the block error rate of the uplink signal may be mapped by the signal-to-noise ratio, so that the data throughput of the cell may be calculated. Therefore, in order to evaluate the network quality of the communication system, simulations may be performed to determine the signal-to-noise ratio of the uplink signal received by the cell prior to networking.

In the simulation scene, when the cells adopt the same frame structure, the uplink signals received by the serving cell can be interfered by the uplink signals received by the interference cells in the same time slot. When a terminal (referred to as a target terminal for distinguishing from an interfering terminal) transmits an uplink signal to a serving cell where the terminal is located, the uplink signal from the target terminal received by the cell may be calculated by the following formula one.

Where y represents a signal when an uplink signal transmitted by the target terminal arrives at the target cell (i.e., a serving cell of the target terminal). P (P) ₁ Representing the signal transmit power of the target terminal. H _1s Representing the channel matrix between the target terminal and the target cell. The channel matrix has an order of np×nb. The elements in the channel matrix represent the frequency domain channel response between the antennas of the target terminal and the antennas of the target cell. Np is the number of antennas of the target terminal, and Nb is the number of antennas of the target cell. W (W) ₁ Representing the precoding matrix of the target terminal. The precoding matrix has an order of nb×m1. M1 is the number of signal streams of the uplink signal sent by the target terminal. X is x ₁ ＝(x _1.1 ，x _1.2 ，…，x _1.M ) ^T Normalized vector of useful signal sent for target terminal. P (P) _i Representing the signal transmit power of a strongly interfering terminal. H _1g Representing the channel matrix between the strongly interfering terminal and the target cell. W (W) _i Representing the precoding matrix of the strongly interfering terminal. X is x _i ＝(x ₁ ，x ₂ ，…，x _Mj ) ^T And the normalized vector representing the signal sent by the strong interference terminal. z is noise, z= (z) ₁ ，z ₂ ，…，z _Nr ) ^T . The elements in z are CN (0, sigma ² )。σ ² Is the variance of the noise. P (P) _w Representing the signal transmit power of a weak interfering terminal. L (L) _ig Indicating the link loss between the target cell and the weak interfering terminal. The link loss may include a large scale path loss and antenna gain. The calculation method of the large-scale path loss and the antenna gain can refer to the prior art, and will not be repeated.

The interfering cell may refer to a terminal that generates interference to an uplink signal received by the target cell. The interference terminal and the target terminal can both access the same service cell, and can also be the terminal accessing the interference cell. The interfering cells may include strong interfering cells and weak interfering cells. The interfering terminals may include strong interfering terminals and weak interfering terminals.

For example, as shown in fig. 1, a communication system is provided in an embodiment of the present application. The communication system may include a plurality of cells (e.g., cell 1 and cell 2) and a plurality of terminals (e.g., terminal 1 and terminal 2). Each of the plurality of cells may serve a terminal accessing the cell. For example, cell 1 may serve terminal 1 and cell 2 may serve terminal 2.

For terminal 1, cell 1 may be referred to as a serving cell. When the terminal 1 and the terminal 2 use the same frame structure and the same time slot to respectively transmit uplink signals to the corresponding serving cells, the uplink signals transmitted by the terminal 2 may interfere with the uplink signals transmitted by the terminal 1 to the cell 1. At this time, the terminal 2 may be referred to as a cell 1 and an interfering terminal of the terminal 1.

In one example, if the large-scale path loss of terminal 2 to cell 1 is greater than or equal to a preset threshold, terminal 2 may be referred to as a strong interfering terminal of cell 1; if the large-scale path loss of terminal 2 to cell 1 is less than a preset threshold, terminal 2 may be referred to as a weak interfering terminal of cell 1.

Alternatively, if cell 1 has multiple interfering terminals, the multiple interfering terminals may be ranked according to the magnitude of the large-scale path loss to cell 1, and the first N interfering terminals may be used as strong interfering terminals for cell 1, and the remaining interfering terminals may be used as weak interfering terminals for cell 1. N is a positive integer less than the number of interfering terminals.

In yet another example, if the large-scale path loss of cell 2 to cell 1 is greater than or equal to a preset threshold, then cell 2 may be referred to as a strong interfering cell of cell 1; if the large-scale path loss of cell 2 to cell 1 is less than a preset threshold, then cell 2 may be referred to as a weak interfering cell of cell 1.

Alternatively, if cell 1 has multiple interfering cells, the multiple interfering cells may be ranked according to the magnitude of the large-scale path loss from cell 1, and the first N interfering cells are considered as strong interfering cells of cell 1, with the remaining interfering cells being considered as weak interfering cells of cell 1. N is a positive integer less than the number of interfering cells.

At the signal receiving end, the combined effect of inter-symbol interference (ISI) and noise on the signal is reduced in order to reduce the distortion of the signal. The signal receiving end (such as the target cell) can perform linear detection on the received signal to obtain a detected signal (i.e. the recovered original signal).

For example, the target cell may detect the received uplink signal using a preset linear detection algorithm. The preset linear detection algorithm may be Zero Forcing (ZF), minimum mean square error (minimum mean square error, MMSE), or the like, but may be other linear detection algorithms, which are not limited.

In an example, the target cell may perform linear detection on the received uplink signal using a preset detection matrix, to obtain a detected uplink signal.

For example, the detection matrix is preset to be D, and the order of D is m1×np. The detected uplink signal is:

Wherein,representing the uplink signal received by the target cell, the uplink signal including the desired signal and the inter-stream interference signal. />Indicating the interference signals of other terminals in a multi-user (MU) paired terminal group and the interference signals of strong interfering terminals. The MU paired terminal group includes a target terminal and one or more interfering terminals. Dz represents noise disturbance. />Representing the interfering signal of a weak interfering terminal.

For convenience of description, the detected downlink signal may be modified as follows:

wherein,

for any signal flow (such as an mth signal flow) in the uplink signal received by the target cell, the signal after linear detection of the mth signal flow is:

wherein A is _m Is the m-th line element of a. B (B) _im Is B _i Is the m-th line element of (c).

The signal-to-noise ratio of the mth signal is:

wherein A is _mj Is the mth row and the jth column element of A. B (B) _imj Is B _i The mth row and the jth column elements of (c). D (D) _mj Is the mth row and the jth column element of D.

In another simulation scenario, when the cell adopts a flexible frame structure, an uplink signal sent by the terminal to the cell is not only interfered by a downlink signal of an interfering cell in the same time slot, but also can be interfered by an uplink signal of an interfering terminal.

For example, as shown in fig. 2, when an interfering cell transmits a downlink signal to an interfering terminal, the downlink signal may interfere with an uplink signal received by a target cell. Meanwhile, the uplink signal sent by the interference terminal to the interference cell can also generate interference on the uplink signal received by the target cell.

In view of this, the embodiment of the present application provides an uplink signal detection method of a flexible frame structure simulation system, where when a terminal uses a flexible frame structure to send an uplink signal to a cell, the uplink signal may be interfered by a downlink signal sent by a neighboring cell and an uplink signal sent by other terminals. Based on this, in the embodiment of the present application, the signal-to-noise ratio of the uplink signal received by the cell from the terminal may be calculated according to the interference values (may also be referred to as interference power) of a plurality of interference sources (for example, the downlink signal of the interfering cell, noise, uplink signal of the interfering terminal, etc.) that generate interference to the uplink signal received by the cell from the terminal. Because the signal-to-noise ratio of the signal can reflect the signal quality of the signal, the technical scheme provided by the embodiment of the application can comprehensively and accurately detect the signal quality of the uplink signal received by the cell.

It should be noted that, the communication systems shown in fig. 1 and fig. 2 are communication systems constructed by simulation by the simulation device. The cells and terminals in fig. 1 and 2 are both in the same simulation system. The method in the embodiment of the application simulates the actual communication environment through simulation, so that the signal-to-noise ratio of the downlink signal of the cell is obtained. Thus, when networking is performed later, communication engineering personnel can adjust or optimize the cell to be planned according to the simulation result.

The method provided in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

It should be noted that, the network system described in the embodiments of the present application is for more clearly describing the technical solution of the embodiments of the present application, and does not constitute a limitation on the technical solution provided in the embodiments of the present application, and those skilled in the art can know that, with the evolution of the network system and the appearance of other network systems, the technical solution provided in the embodiments of the present application is applicable to similar technical problems.

In an example, the embodiment of the present application further provides an uplink signal detection device (hereinafter, for convenience of description, simply referred to as an uplink signal detection device) of the flexible frame structure simulation system, where the uplink signal detection device may be used to perform the method of the embodiment of the present application. For example, the uplink signal detection device may be a simulation device, or may be a device in the simulation device. The upstream signal detection means may be provided with simulation software which may be used to perform the simulation process.

For example, as shown in fig. 3, a schematic diagram of an uplink signal detection apparatus 300 according to an embodiment of the present application is provided. The uplink signal detecting apparatus 300 may include a processor 301, a communication interface 302, and a communication line 303.

Further, the uplink signal detecting apparatus 300 may further include a memory 304. The processor 301, the memory 304, and the communication interface 302 may be connected by a communication line 303.

The processor 301 is a CPU, general-purpose processor, network processor (network processor, NP), digital signal processor (digital signal processing, DSP), microprocessor, microcontroller, programmable logic device (programmable logic device, PLD), or any combination thereof. The processor 301 may also be any other device having processing functions, such as, without limitation, a circuit, a device, or a software module.

A communication interface 302 for communicating with other devices or other communication networks. The communication interface 302 may be a module, a circuit, a communication interface, or any device capable of enabling communication.

A communication line 303 for transmitting information between the components included in the uplink signal detection apparatus 300 of the flexible frame structure simulation system.

Memory 304 for storing instructions. Wherein the instructions may be computer programs.

The memory 304 may be, but not limited to, a read-only memory (ROM) or other type of static storage device capable of storing static information and/or instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device capable of storing information and/or instructions, an EEPROM, a CD-ROM (compact disc read-only memory) or other optical disk storage, an optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, etc.

It should be noted that the memory 304 may exist separately from the processor 301 or may be integrated with the processor 301. Memory 304 may be used to store instructions or program code or some data, etc. The memory 304 may be located in the uplink signal detection device 300 of the flexible frame structure simulation system, or may be located outside the uplink signal detection device 300 of the flexible frame structure simulation system, without limitation. The processor 301 is configured to execute the instructions stored in the memory 304, so as to implement the uplink signal detection method of the flexible frame structure simulation system provided in the following embodiments of the present application.

In one example, processor 301 may include one or more CPUs, such as CPU0 and CPU1 in fig. 3.

As an alternative implementation, the uplink signal detection device 300 of the flexible frame structure simulation system includes a plurality of processors, for example, may include the processor 307 in addition to the processor 301 in fig. 3.

As an alternative implementation, the uplink signal detection apparatus 300 of the flexible frame structure simulation system further includes an output device 305 and an input device 306. Illustratively, the input device 306 is a keyboard, mouse, microphone, or joystick device, and the output device 305 is a display screen, speaker (spaker), or the like.

It should be noted that the uplink signal detecting apparatus 300 may be a desktop computer, a portable computer, a network server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device having a similar structure in fig. 3. Further, the constituent structure shown in fig. 3 is not limited, and may include more or less components than those shown in fig. 3, or may combine some components, or may be arranged differently, in addition to those shown in fig. 3.

In the embodiment of the application, the chip system may be formed by a chip, and may also include a chip and other discrete devices.

Further, actions, terms, etc. referred to between embodiments of the present application may be referred to each other without limitation. In the embodiment of the present application, the name of the message or the name of the parameter in the message, etc. interacted between the devices are only an example, and other names may also be adopted in the specific implementation, and are not limited.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

The following describes an uplink signal detection method of the flexible frame structure simulation system provided in the embodiment of the present application with reference to the network architecture shown in fig. 2.

It should be noted that, as shown in fig. 4, the method provided in the embodiment of the present application includes a pre-simulation stage and a simulation stage.

In the pre-simulation stage, training sample data can be trained according to a preset neural network algorithm, so that a preset neural network model is obtained. During the simulation phase, simulation tasks may be performed. For example, the simulation device may determine the interference cancellation factor according to a preset neural network model obtained in the pre-simulation stage, and simulate to obtain the signal-to-noise ratio of the uplink signal received by the target cell according to the interference values of multiple interference sources. The pre-simulation stage and the simulation stage are described below.

1. In the pre-simulation stage, the device comprises a pre-simulation stage,

as shown in fig. 5, the model training method provided in the embodiment of the present application may be S501 and S502.

S501, acquiring a plurality of training sample data.

The data source for acquiring the training sample data may include one or more of a data source 1, a data source 2 and a data source 3. The data source 1 may refer to data of a strong interference user of an uplink same time slot of a target cell when the cells adopt a same frame structure. The data source 2 may refer to data of a strong interference user of a downlink cross slot of a target cell when the cell adopts a flexible frame structure. The data source 3 may refer to data of a strong interference user of a downlink cross slot and a strong interference user of an uplink same slot of the target terminal when the cell adopts a flexible frame structure.

Wherein each training sample data may include configuration information of the detected user and configuration information of the interfering user. For example, the configuration information of the detected user may include antenna configuration parameters (such as the number of array elements, the number of channels, and antenna position information) of the detected cell, and position information of the detected terminal. The configuration information of the interfering user may include antenna position information of the interfering cell and position information and signal transmission power of the interfering terminal, and an interference cancellation factor of the interfering terminal. The interference cancellation factor of the interfering terminal may reflect the interference degree of the signal of the interfering terminal to the uplink signal received by the detected cell. The interference cancellation factor is greater than 0 and less than 1.

In an example, taking the data source of the training sample data as the data source 3, in the pre-simulation process, for each training sample data, the downlink signal received by the detected terminal may be:

the downlink strong may refer to a strong interference cell, and the downlink weak may refer to a weak interference cell. Uplink strong may refer to strong interfering terminals. Uplink weak may refer to weak interfering terminals.

It should be noted that, the method for determining the strong interference terminal and the weak interference terminal may refer to the method for determining the strong interference cell and the weak interference cell, which are not described in detail.

In one example, for the above downlink signal, the following is noted In the training sample data, interference cancellation factor of the interfering terminal +.> q represents an element of the q-th row of C, and j represents an element of the j-th column of C.

In yet another example, for the above downlink signal, note In the training sample data, interference elimination factor of interference terminal +.> q represents an element of the q-th row of C, and j represents an element of the j-th column of C.

S502, training a preset neural network algorithm on a plurality of sample training data to obtain a preset neural network model.

The preset neural network algorithm may be a back-propagation algorithm (BP) or a convolutional neural network (convolutional neural network, CNN). Of course, other neural network algorithms are also possible, without limitation.

The preset neural network model can be used for determining an interference elimination factor of an interference terminal. The input of the preset neural network model is the configuration information of the target terminal, the configuration information of the target cell, the configuration information of the interference cell and the configuration information of the interference terminal, and the input is the interference cancellation factor of the interference terminal.

In one example, as shown in fig. 6, taking a preset neural network algorithm as an example of a BP algorithm, the BP algorithm may include an input layer, a plurality of intermediate layers, and an output layer.

Wherein the input layer may include n inputs (e.g., x 1-xn). Each input is for inputting a set of training sample data. And a plurality of intermediate layers (for example, n 1-ns) are used for carrying out iterative training on training sample data and transmitting training results to a value output layer. The output layer may include m outputs (e.g., y 1-ym), each for outputting a training result. n, m and s are positive integers.

Based on the above S501 and S502, in the pre-simulation stage, the configuration information of the detected user and the configuration information of the interfering user may be trained according to a preset neural network algorithm, so as to obtain a preset neural network model. In this way, in the subsequent simulation process, the interference elimination factor of the interference terminal can be determined according to the preset neural network model obtained in the stage, so that the simulation method is simple and convenient.

2. And (5) a simulation stage.

As shown in fig. 7, the present application provides an uplink signal detection method of a flexible frame structure simulation system, where the method includes:

s701, determining the signal strength of a first downlink signal received by a target cell from a target terminal.

The target cell may be cell 1 in fig. 2. The target terminal may be terminal 1 in fig. 2.

In one example, the first uplink signal received by the target cell from the target terminal may be that, in the simulation environment, the target terminal transmits the uplink signal to the target cell in response to the input instruction. Accordingly, in the same simulation environment, the target cell may receive the first uplink signal from the target terminal.

In the embodiment of the present application, the target cell, the interference cell, the target terminal and the interference terminal are all in the same simulation environment. The interaction between cells and the interaction between the signals between the cells and the terminal are all the interaction of simulation analog signals. The signals between the target cell and the target terminal and the signals between the interference cell and the interference terminal are analog signals. The analog signal may be generated for the emulation device in response to an input instruction. Thus, the simulation equipment can acquire the signals transmitted by each cell and each terminal and the received signals.

Further, since the target cell needs to perform linear detection after receiving the uplink signal from the target terminal, the original uplink signal (i.e., the first uplink signal) can be obtained.

In an example, to obtain the original uplink signal, the simulation device may establish a channel matrix between the target terminal and the target cell through simulation, and obtain a precoding matrix of the target terminal. Then, the simulation device may determine, according to the channel matrix between the target terminal and the target cell and the precoding matrix of the target terminal, a signal when the uplink signal sent by the target terminal reaches the target cell. Furthermore, the simulation device can perform linear detection on the signal to obtain a first uplink signal from the target terminal, which is received by the target cell.

The method for establishing the channel matrix between the target terminal and the target cell may refer to the prior art, and will not be described in detail. The precoding matrix of the target terminal may be preconfigured for the target terminal, the precoding matrix being related to the antenna configuration information of the target terminal. Alternatively, the precoding matrix of the target terminal may be configured for the target terminal through simulation.

For example, the signal when the uplink signal sent by the target terminal reaches the target cell may be The simulation device can perform linear detection on the signal according to a preset detection algorithm or a preset detection matrix to obtain an uplink signal from the target terminal, which is received by the target cell. For example, the linear matrix may be the detection matrix D described above. The uplink signal received by the target cell from the target terminal is +>

Further, after obtaining the first uplink signal received by the target cell from the target terminal, the simulation device may determine the signal strength of the first uplink signal according to the first uplink signal.

The signal strength of the first uplink signal satisfies the formula two.

S1＝P|DHW ₁ | ² Formula II

Wherein S1 is the signal strength of the first upper signal, P is the signal transmitting power of the target terminal, D is a preset detection matrix, H is a channel matrix between the target cell and the target terminal, and W is a precoding matrix of the target terminal. W (W) _i Representing the precoding matrix of the target terminal.

S702, determining a first interference value of a plurality of interference uplink signals to a first downlink signal and a second interference value of noise to the first uplink signal.

The plurality of interference uplink signals may include an uplink signal sent by a strong interference terminal and an uplink signal sent by a weak interference terminal. The large-scale path loss between the strong interference terminal and the target cell is larger than or equal to a preset threshold value. The large-scale path loss between the weak interference terminal and the target cell is smaller than a preset threshold value. Noise may refer to interfering signals other than interfering cells and interfering terminals.

The first interference value may be a sum of an interference value of an uplink signal of the strong interference terminal to the first uplink signal and an interference value of an uplink signal of the weak interference terminal to the first uplink signal.

In an example, the simulation device may calculate an interference value of a downlink signal of the strong interference cell on the first downlink signal according to a signal transmitting power of the strong interference cell, a channel matrix between the target terminal and the strong interference cell, and a precoding matrix of the strong interference cell.

For example, the interference value of the uplink signal of the strong interference terminal on the first uplink signal may satisfy the formula three.

Bq＝∑ _{i epsilon uplink strength} ∑ _j P _i |DH _1g W _i | ² Formula III

Wherein Bq represents an interference value of an uplink signal of the strong interference terminal to the first uplink signal. P (P) _i Representing the signal transmit power of a strongly interfering terminal. H _1g Representing the channel matrix between the strongly interfering terminal and the target cell. W (W) _i Representing the precoding matrix of the i-th strong interfering cell. j represents the number of streams of the uplink signal of the i-th strong interference terminal. i. j is a positive integer.

In yet another example, the simulation device may calculate an interference value of an uplink signal of the weak interference terminal on the first uplink signal according to a signal transmission power of the weak interference cell and a link loss of the weak interference terminal to the target cell.

Wherein, the link loss L between the weak interference terminal and the target cell _ug ＝PL _ug -G _s -G _u 。PL _ug Representing a large scale path loss. G _s Indicating the antenna gain of a weak interfering terminal. G _u Representing the antenna gain of the target cell. The method of calculating the antenna gain can be referred to the prior art.

For example, the interference value of the uplink signal of the weak interference terminal on the first uplink signal may satisfy the fourth formula.

Br＝∑ _{i epsilon uplink weak} ∑ _j |D| ² P _w /L _ug Equation four

Wherein Br represents an interference value of an uplink signal of the weak interference terminal to the first uplink signal. P (P) _w Representing the signal transmit power of a weak interfering terminal. i denotes the number of weak interfering terminals. j represents the number of streams of the uplink signal of the weak interference terminal. i. j is positiveAn integer. W (W) _i Representing the precoding matrix of the strongly interfering terminal. i is a positive integer.

When the number of the strong interference terminals and the weak interference terminals is plural, the interference value of the strong interference terminals to the first uplink signal may be the sum of the interference values of the plurality of strong interference terminals to the first uplink signal. The interference value of the weak interference terminal to the first uplink signal may refer to a sum of interference values of a plurality of weak interference terminals to the first uplink signal.

In yet another example, the second interference value of the noise on the first uplink signal may satisfy the formula five.

B2＝∑ _j |D| ² σ ² Formula five

Wherein B2 represents the second interference value. j represents the number of streams of noise.

S703, determining interference elimination factors of the cross interference terminals according to a preset neural network model.

The pre-set neural network model may refer to the description in the pre-simulation stage. The cross interference terminal is the same as the transmission resources (e.g., physical resource blocks (physical resource block, PRBs), frequency domain resources, etc.) used by the target terminal.

In one example, the simulation device may input configuration information of cells and terminals related to the cross-interference terminals into a preset neural network model to obtain an interference cancellation factor of the cross-interference terminals. For example, cells and terminals associated with cross-interference terminals may include target terminals, target cells, cross-interference terminals, and interfering cells. The configuration information may include location information and/or antenna configuration information. For example, the configuration information of the target terminal may include antenna configuration parameters of the target terminal. The configuration information of the target cell may include antenna location information. The configuration information of the interfering cell may include antenna location information. The configuration information of the cross interference terminal may include position information of the cross interference terminal and signal transmission power.

S704, determining a third interference value of the downlink signal received by the cross interference terminal to the first uplink signal according to the interference cancellation factor of the cross interference terminal, the signal transmitting power of the interference cell and the link loss between the interference cell and the target cell.

The signal transmitting power of the interference cell refers to the signal transmitting power corresponding to the downlink signal sent by the interference cell to the cross interference terminal. Link loss L between interfering cell and target cell _sg ＝PL _sg -G _s -G _g 。PL _sg Representing the large scale path loss between the interfering cell and the target cell. G _g Indicating the antenna gain of the interfering cell.

In one example, the third interference value satisfies equation six.

B3＝∑ _{i epsilon uplink} ηP _i /L _sg Formula six

Wherein B3 represents a third interference value. η represents an interference cancellation factor. P (P) _i Representing the signal transmit power of the interfering cell. i denotes the number of cross-interference terminals. i is a positive integer.

When there are a plurality of data of the cross interference terminals, the signal transmission power used may be the same or different when the interference cells transmit downlink signals to different cross interference terminals.

S705, determining the signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value and the third interference value.

Wherein the signal-to-noise ratio of the first uplink signal satisfies the formula seven.

SINR = S1/(s1+b1+b2+b3) equation seven

Wherein, SINR is the signal-to-noise ratio of the first uplink signal.

Based on the technical scheme shown in fig. 7, for a cell adopting a flexible frame structure, when a terminal uses a flexible frame to send an uplink signal to the cell, the uplink signal received by the cell from the terminal may be interfered by the downlink signal and the uplink signal of the neighboring cell. Therefore, in the embodiment of the present application, the signal-to-noise ratio of the downlink signal received by the cell from the terminal may be calculated according to the interference values (may also be referred to as interference power) of a plurality of interference sources (for example, downlink signal of the interfering cell, noise, uplink signal of the cross interference terminal, etc.) that generate interference to the uplink signal received by the cell from the terminal. Because the signal-to-noise ratio of the signal can reflect the signal quality of the signal, the technical scheme provided by the embodiment of the application can comprehensively and accurately detect the uplink signal received by the cell and is used for determining the signal quality of the uplink signal.

In a possible embodiment, as shown in fig. 8, an embodiment of the present application provides an uplink signal detection method of a flexible frame structure simulation system, where the method may include S801 to S808.

S801, a channel matrix between a terminal and a target cell and between the terminal and a strong interference cell are established.

The terminal may refer to a plurality of terminals in the simulation system, for example, may include the target terminal and the interference terminal described above.

Herein, S801 may refer to the descriptions of S701 and S702, which are not described herein.

When the number of terminals in the simulation system is plural, the simulation device may determine the strong interference cell and the weak interference cell of each terminal. In particular, reference may be made to the above description.

S802, calculating the link loss between the target cell and the interference cell.

Herein, S802 may refer to the description of S704, which is not described herein.

S803, determining an interference terminal.

The interfering terminal refers to a terminal that uses the same physical resource as the target terminal, and the uplink signal transmitted by the target terminal can interfere with the uplink signal transmitted by the target terminal. The serving cell of the interfering terminal may be a target cell or an interfering cell.

S804, determining whether the time slot used by the interference cell is a downlink time slot.

The time slot used by the interfering cell may refer to a time slot (e.g. D, S, U) in a flexible frame structure used by the interfering cell at the current time.

And S805, when the time slot used by the interference cell is a downlink time slot, the interference terminal served by the interference cell is used as a cross interference terminal.

S806, determining an interference elimination factor of the cross interference terminal according to a preset neural network model.

Here, S806 may refer to the description of S703, which is not described herein.

S807, when the time slot used by the interfering cell is not a downlink time slot, it is determined whether the interfering terminal establishes a channel matrix with the target cell.

Wherein determining whether the interfering terminal establishes a channel matrix with the target cell may be used to determine whether the interference is a strong interfering cell.

Specifically, when the interference terminal and the target cell establish a channel matrix, the interference terminal is used as a strong interference terminal; and when the interference terminal does not establish a channel matrix with the target cell, the interference terminal is used as a weak interference terminal.

S808, calculating the signal to noise ratio of the uplink signal received by the target cell according to the interference value of the strong interference terminal, the interference value of the weak interference terminal and the interference value of the cross interference terminal.

In S808, reference may be made to the technical solution of fig. 7, which is not described herein.

When the target terminal accesses a plurality of cells (including a serving cell and a plurality of interfering cells) in the simulation phase, the simulation device may perform steps S804 to S807 in a loop to determine a strong interfering cell and a weak interfering cell of the plurality of interfering cells.

Based on the technical scheme of fig. 8, for a cell adopting a flexible frame structure, the simulation device can accurately and comprehensively determine the signal-to-noise ratio of the uplink signal received by the cell by calculating interference values of an interference terminal (including a strong interference terminal and a weak interference terminal) and an interference terminal (i.e., a cross time slot interference terminal) which interfere with the uplink signal received by the cell. Furthermore, the simulation device can detect the uplink signal according to the signal-to-noise ratio of the uplink signal received by the cell.

The various schemes in the embodiments of the present application may be combined on the premise of no contradiction.

The embodiment of the present application may divide the functional modules or functional units of the uplink signal detection device according to the above method example, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice.

In the case of dividing the respective functional modules by the respective functions, fig. 9 shows a schematic configuration of an upstream signal detecting apparatus 90, and the upstream signal detecting apparatus 90 may be used to perform the functions involved in the simulation device in the above-described embodiment. The uplink signal detecting apparatus 90 shown in fig. 9 may include: a determining unit 901, a processing unit 902.

A determining unit 901, configured to determine a signal strength of a first uplink signal, and determine a first interference value of a plurality of interfering uplink signals on a first downlink signal and a second interference value of noise on the first uplink signal.

The processing unit 902 is configured to determine, according to a preset neural network algorithm, an interference cancellation factor of a cross interference terminal using an interference cell as a serving cell, where transmission resources used by the cross interference terminal are the same as transmission resources used by a target terminal, and the interference cancellation factor is used to characterize an interference degree of a downlink signal received by the cross interference terminal on a first uplink signal.

The processing unit 902 is further configured to calculate a third interference value of the downlink signal received by the cross interference terminal on the first uplink signal according to the interference cancellation factor of the cross interference terminal, the signal transmitting power of the downlink signal sent by the interference terminal to the cross interference terminal, and the link loss between the interference cell and the target cell.

The processing unit 902 is further configured to determine a signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value.

In a possible implementation manner, the plurality of interference uplink signals include an uplink signal sent by a strong interference terminal and an uplink signal sent by a weak interference terminal, a large-scale path loss between the strong interference terminal and a target cell is greater than or equal to a preset threshold, a large-scale path loss between the weak interference terminal and the target cell is less than the preset threshold, and the determining unit 901 is specifically configured to: calculating an interference value of an interference uplink signal sent by a strong interference terminal on a first uplink signal according to the signal transmitting power of the strong interference terminal, a channel matrix between the strong interference terminal and a target cell and a precoding matrix of the strong interference terminal; according to the ratio of the signal transmitting power of the weak interference terminal to the link loss between the weak interference terminal and the target cell, calculating the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal, wherein the first interference value is as follows: the sum of the interference value of the interference uplink signal sent by the strong interference terminal to the first uplink signal and the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal.

In a possible implementation manner, the processing unit 902 is specifically configured to: acquiring configuration information of a target cell, configuration information of a target terminal, configuration information of an interference cell and configuration information of a cross interference terminal, wherein the configuration information comprises antenna configuration information and/or position information; and inputting the configuration information of the target cell, the configuration information of the target terminal, the configuration information of the interference cell and the configuration information of the cross interference terminal into a preset neural network model to obtain an interference elimination factor.

In a possible implementation manner, the determining unit 901 is further configured to calculate, through simulation, an antenna gain of the target terminal and an antenna gain of the interference terminal, and determine a large-scale path loss between the target terminal and the interference terminal; the processing unit 902 is further configured to determine a link loss between the target terminal and the interfering terminal according to the difference between the large-scale path loss and the antenna gain of the target terminal and the antenna gain of the interfering terminal.

In a possible implementation manner, as shown in fig. 9, the apparatus further includes an establishing unit 903, configured to establish a channel matrix between the target terminal and the target cell through simulation; the processing unit 902 is configured to determine, according to the signal transmission power of the target terminal, the channel matrix between the target terminal and the target cell, and the precoding matrix of the target terminal, a signal when the uplink signal sent by the target terminal reaches the target cell, and perform linear detection on the signal when the uplink signal sent by the target terminal reaches the target cell based on a preset detection algorithm, so as to obtain a first uplink signal.

In one possible implementation manner, the signal strength of the first uplink signal satisfies a first formula, where the first formula is: s1=p|dhw| ² The method comprises the steps of carrying out a first treatment on the surface of the Wherein S1 is the signal strength of the first uplink signal, P is the signal transmitting power of the target terminal, D is a preset detection matrix, H is a channel matrix between the target cell and the target terminal, and W is a precoding matrix of the target terminal.

In one possible implementation, the signal-to-noise ratio satisfies a second formula, where the second formula is: sinr=s1/(s1+b1+b2+b3); wherein, SINR is the signal-to-noise ratio of the first downlink signal, S1 is the signal strength of the first downlink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

As yet another implementation, the processing unit 902 in fig. 9 may be replaced by a processor, which may integrate the functionality of the processing unit 902.

Further, when the processing unit 902 is replaced by a processor, the uplink signal detecting apparatus 90 according to the embodiment of the present application may be an uplink signal detecting apparatus shown in fig. 3.

Embodiments of the present application also provide a computer-readable storage medium. All or part of the flow in the above method embodiments may be implemented by a computer program to instruct related hardware, where the program may be stored in the above computer readable storage medium, and when the program is executed, the program may include the flow in the above method embodiments. The computer readable storage medium may be an internal storage unit of the uplink signal detection device (including the data transmitting end and/or the data receiving end) of the flexible frame structure simulation system of any one of the foregoing embodiments, for example, a hard disk or a memory of the uplink signal detection device of the flexible frame structure simulation system. The computer readable storage medium may be an external storage device of the terminal apparatus, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card), or the like, which are provided in the terminal apparatus. Further, the computer readable storage medium may further include an internal storage unit and an external storage device of the uplink signal detection apparatus of the flexible frame structure simulation system. The computer readable storage medium is used for storing the computer program and other programs and data required by the uplink signal detection device of the flexible frame structure simulation system. The above-described computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

It should be noted that the terms "first" and "second" and the like in the description, claims and drawings of the present application are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, 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 listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be understood that, in the present application, "at least one (item)" means one or more, "a plurality" means two or more, "at least two (items)" means two or three and three or more, "and/or" for describing an association relationship of an association object, three kinds of relationships may exist, for example, "a and/or B" may mean: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and the parts displayed as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. The uplink signal detection method of a flexible frame structure simulation system is characterized in that the flexible frame structure simulation system comprises a target cell and an interference cell of the target cell, wherein the interference cell is a cell which generates interference to a first uplink signal by a transmitted downlink signal, the first uplink signal is a signal transmitted by a target terminal to the target cell, and the target cell is a service cell of the target terminal, and the method comprises the following steps:

determining the signal strength of the first uplink signal;

determining a first interference value of a plurality of interference uplink signals to the first uplink signal and a second interference value of noise to the first uplink signal;

according to a preset neural network algorithm, determining an interference elimination factor of a cross interference terminal, wherein the interference cell is used for serving cells of the cross interference terminal, and transmission resources used by the cross interference terminal and a target terminal are the same; the interference cancellation factor is used for representing the interference degree of the downlink signal received by the cross interference terminal on the first uplink signal;

Wherein, the determining the interference cancellation factor of the cross interference terminal according to the preset neural network algorithm includes: acquiring configuration information of the target cell, configuration information of the target terminal, configuration information of the interference cell and configuration information of the cross interference terminal, wherein the configuration information comprises antenna configuration information and/or position information; inputting the configuration information of the target cell, the configuration information of the target terminal, the configuration information of the interference cell and the configuration information of the cross interference terminal into a preset neural network model to obtain the interference cancellation factor;

calculating a third interference value of the downlink signal received by the cross interference terminal to the first uplink signal according to the interference cancellation factor, the signal transmission power of the interference cell and the link loss between the interference cell and the target cell, wherein the signal transmission power is the signal transmission power of the downlink signal sent by the interference cell to the cross interference terminal;

wherein the third interference value = Σ _{i epsilon uplink} ηP _i /L _sg The method comprises the steps of carrying out a first treatment on the surface of the η represents the interference cancellation factor, P _i Representing the signal transmitting power of the interference cell, i representing the number of the cross interference terminals, i being a positive integer, L _sg Representing a link loss between the interfering cell and the target cell; and determining the signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value and the third interference value.

2. The method of claim 1, wherein the plurality of interfering uplink signals includes an uplink signal transmitted by a strong interfering terminal and an uplink signal transmitted by a weak interfering terminal, a large-scale path loss between the strong interfering terminal and the target cell is greater than or equal to a preset threshold, and a large-scale path loss between the weak interfering terminal and the target cell is less than the preset threshold;

the determining a first interference value of the plurality of interfering uplink signals to the first uplink signal includes:

calculating an interference value of an interference uplink signal sent by the strong interference terminal to the first uplink signal according to the signal transmitting power of the strong interference terminal, a channel matrix between the strong interference terminal and the target cell and a precoding matrix of the strong interference terminal;

according to the ratio of the signal transmitting power of the weak interference terminal to the link loss between the weak interference terminal and the target cell, calculating the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal, wherein the first interference value is as follows: and the sum of the interference value of the interference uplink signal sent by the strong interference terminal to the first uplink signal and the interference value of the interference uplink signal sent by the weak interference terminal to the first uplink signal.

3. The method according to claim 1 or 2, characterized in that the method further comprises:

calculating the antenna gain of the target cell and the antenna gain of the interference cell through simulation, and determining the large-scale path loss between the target cell and the interference cell;

and determining the link loss between the target cell and the interference cell according to the difference value between the large-scale path loss and the antenna gain of the target cell and the antenna gain of the interference cell.

4. The method according to claim 1, wherein the method further comprises:

establishing a channel matrix between the target terminal and the target cell through simulation;

determining a signal when an uplink signal sent by the target terminal reaches the target cell according to the signal transmitting power of the target terminal, a channel matrix between the target terminal and the target cell and a precoding matrix of the target terminal;

and based on a preset detection algorithm, linearly detecting a signal when the uplink signal sent by the target terminal reaches the target cell, and obtaining the first uplink signal.

5. The method of claim 4, wherein the signal strength of the first uplink signal satisfies a first formula:

S1＝P|DHW| ² ；

Wherein S1 is the signal strength of the first uplink signal, P is the signal transmitting power of the target terminal, D is a preset detection matrix, H is a channel matrix between the target cell and the target terminal, and W is a precoding matrix of the target terminal.

6. The method of claim 1, wherein the signal-to-noise ratio satisfies a second formula, the second formula being:

SINR＝S1/(S1+B1+B2+B3)；

wherein SINR is a signal-to-noise ratio of the first uplink signal, S1 is a signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

7. The uplink signal detection device of the flexible frame structure simulation system is characterized in that the flexible frame structure simulation system comprises a target cell and an interference cell of the target cell, wherein the interference cell is a cell for generating interference on a first uplink signal by a transmitted downlink signal, the first uplink signal is a signal transmitted to the target cell by a target terminal, the target cell is a service cell of the target terminal, and the device comprises a determining unit and a processing unit;

the determining unit is configured to determine a signal strength of the first uplink signal;

The determining unit is further configured to determine a first interference value of the plurality of interference uplink signals on the first uplink signal and a second interference value of noise on the first uplink signal;

the processing unit is used for determining an interference elimination factor of a cross interference terminal according to a preset neural network algorithm, wherein the interference cell is used for serving the cross interference terminal, and transmission resources used by the cross interference terminal and a target terminal are the same; the interference cancellation factor is used for representing the interference degree of the downlink signal received by the cross interference terminal on the first uplink signal;

wherein, the processing unit is specifically configured to: acquiring configuration information of the target cell, configuration information of the target terminal, configuration information of the interference cell and configuration information of the cross interference terminal, wherein the configuration information comprises antenna configuration information and/or position information; inputting the configuration information of the target cell, the configuration information of the target terminal, the configuration information of the interference cell and the configuration information of the cross interference terminal into a preset neural network model to obtain the interference cancellation factor;

the processing unit is further configured to calculate a third interference value of the downlink signal received by the cross interference terminal to the first uplink signal according to the interference cancellation factor, the signal transmission power of the interference cell, and the link loss between the interference cell and the target cell, where the signal transmission power is the signal transmission power of the downlink signal sent by the interference cell to the cross interference terminal;

Wherein the third interference value = Σ _{i epsilon uplink} ηP _i /L _sg The method comprises the steps of carrying out a first treatment on the surface of the η represents the interference cancellation factor, P _i Representing the signal transmitting power of the interference cell, i representing the number of the cross interference terminals, i being a positive integer, L _sg Representing a link loss between the interfering cell and the target cell; the processing unit is further configured to determine a signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value.

8. The apparatus of claim 7, wherein the plurality of interfering uplink signals comprises an uplink signal transmitted by a strong interfering terminal and an uplink signal transmitted by a weak interfering terminal, wherein a large-scale path loss between the strong interfering terminal and the target cell is greater than or equal to a preset threshold, and wherein a large-scale path loss between the weak interfering terminal and the target cell is less than the preset threshold; the determining unit is specifically configured to:

9. The apparatus according to claim 7 or 8, wherein,

the determining unit is further configured to calculate, through simulation, an antenna gain of the target cell and an antenna gain of the interfering cell, and determine a large-scale path loss between the target cell and the interfering cell;

the determining unit is further configured to determine a link loss between the target cell and the interfering cell according to a difference between the large-scale path loss and an antenna gain of the target cell and an antenna gain of the interfering cell.

10. The apparatus according to claim 7, characterized in that the apparatus further comprises a setup unit:

the establishing unit is used for establishing a channel matrix between the target terminal and the target cell through simulation;

The determining unit is further configured to determine a signal when the uplink signal sent by the target terminal reaches the target cell according to the signal transmitting power of the target terminal, a channel matrix between the target terminal and the target cell, and a precoding matrix of the target terminal;

the processing unit is further configured to perform linear detection on a signal when the uplink signal sent by the target terminal reaches the target cell based on a preset detection algorithm, so as to obtain the first uplink signal.

11. The apparatus of claim 10, wherein the signal strength of the first uplink signal satisfies a first formula:

S1＝P|DHW| ² ；

12. The apparatus of claim 7, wherein the signal-to-noise ratio satisfies a second formula, the second formula being:

SINR＝S1/(S1+B1+B2+B3)；

13. A computer readable storage medium having instructions stored therein which, when executed, implement the method of any of claims 1-6.

14. An uplink signal detection apparatus, comprising: a processor, a memory, and a communication interface; the communication interface is used for the uplink signal detection device to communicate with other equipment or network; the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the upstream signal detection device, cause the processor to execute the computer-executable instructions stored in the memory to cause the upstream signal detection device to perform the method of any of claims 1-6.