CN115087008B

CN115087008B - Method and device for detecting downlink signal of flexible frame structure simulation system

Info

Publication number: CN115087008B
Application number: CN202210699845.9A
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: CN115087008A

Abstract

The application discloses a downlink 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 determining the signal quality of an uplink signal of a cell. The flexible frame structure simulation system comprises a serving cell of a target terminal and a plurality of interference cells. The method comprises the following steps: determining a first interference value of a plurality of interference downlink signals to a first downlink signal and a second interference value of noise to the first downlink signal; determining a target interference elimination factor according to configuration information of a plurality of interference cells, and calculating a third interference value of an interference uplink signal to a first downlink signal according to the target interference elimination factor, signal transmitting power of an interference terminal and link loss between the interference terminal and the target terminal; and accurately and comprehensively determining the signal-to-noise ratio of the first downlink signal according to the signal strength of the first downlink signal and the interference values of a plurality of interference sources such as the first interference value, the second interference value and the third interference value.

Description

Method and device for detecting downlink signal of flexible frame structure simulation system

Technical Field

The embodiment of the application relates to the technical field of communication, in particular to a downlink 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 to send downlink signals to the terminal, the downlink signals received by the terminal can be interfered by cross time slots. At this time, the downlink signal received by the terminal needs to be detected to determine the signal quality of the downlink signal.

Disclosure of Invention

The application provides a downlink signal detection method and device of a flexible frame structure simulation system, which are used for comprehensively and accurately detecting downlink signals received by a terminal so as to determine 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, a method for detecting a downlink signal of a flexible frame structure simulation system is provided, where the flexible frame structure simulation system includes a serving cell of a target terminal and a plurality of interference cells, and a downlink signal sent by the interference cells interferes with a first downlink signal sent by the serving cell to the target terminal, where the method includes: determining first interference values of downlink signals of a plurality of interference cells to the first downlink signals and second interference values of noise to the first downlink signals; determining a target interference elimination factor according to configuration information of the plurality of interference cells; the target interference cancellation factor is used for representing the interference degree of the interference signal to the first downlink signal; calculating a third interference value of an uplink signal of the interference terminal to the first downlink signal according to the target interference cancellation factor, the signal transmitting power of the interference terminal and the link loss between the interference terminal and the target terminal; and determining the signal-to-noise ratio of the first downlink signal according to the signal strength of the first downlink signal, the first interference value, the second interference value and the third interference value.

Based on the technical scheme provided by the application, when the cell adopts the flexible frame structure to send the downlink signal to the terminal, the downlink signal from the cell received by the terminal can be interfered by the downlink signal of the adjacent cell and the uplink signal of the interfering terminal. Therefore, in the embodiment of the present application, the signal to noise ratio of the downlink signal from the cell received by 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 downlink signal from the cell received by 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 evaluate the signal quality of the downlink signal received by the terminal.

In a possible implementation manner, the plurality of interference cells include a strong interference terminal and a weak interference terminal, a large-scale path loss between the strong interference cell and the target terminal is greater than or equal to a preset threshold, and a large-scale path loss between the weak interference cell and the target terminal is less than the preset threshold, and the determining the first interference value of the downlink signals of the plurality of interference cells to the first downlink signal includes: calculating the interference value of the downlink signal of the strong interference cell on the first downlink signal according to the signal transmitting power of the strong interference cell, the channel matrix between the target terminal and the strong interference cell and the precoding matrix of the strong interference cell; according to the signal transmitting power of the weak interference cell and the link loss from the target terminal to the weak interference cell, calculating the interference value of the downlink signal of the weak interference cell on the first downlink signal, wherein the first interference value comprises: the interference value of the downlink signal of the strong interference cell to the first downlink signal and the interference value of the downlink signal of the weak interference cell to the first downlink signal.

In a possible implementation manner, the method for determining the target interference cancellation factor according to the configuration information of the plurality of interference cells specifically includes: determining interference values of downlink signals transmitted by a plurality of strong interference cells and interference values of downlink interference signals received by a target terminal; the interference value of the downlink signal is determined according to configuration information of a plurality of strong interference cells, wherein the configuration information comprises signal transmitting power of the strong interference cells, a precoding matrix of the strong interference cells and a channel matrix between the strong interference cells and a target terminal; and determining a target interference elimination factor according to the ratio of the interference value of the downlink interference signal received by the target terminal to the interference values of the downlink interference signals transmitted by the strong interference cells.

In one possible implementation, the target interference cancellation factor satisfies a first formula:

wherein, beta represents a target interference cancellation factor, j represents the number of a plurality of strong interference cells, D represents a detection matrix of a target terminal, and P _i Representing the signal transmission power, H, of the ith strong interference cell of the plurality of strong interference cells _1g Representing the channel matrix, W, between the i-th strong interference cell and the target terminal _i And (3) representing a precoding matrix of the ith strong interference cell, wherein q is the number of antennas of the target terminal, q, i and j are positive integers, and i is less than or equal to j.

In a possible implementation manner, the method for determining the target interference cancellation factor according to the configuration information of the plurality of interference cells may specifically include: determining an interference elimination factor of each strong interference cell in a plurality of strong interference cells, wherein the interference elimination factor of the strong interference cell is determined for configuration information of the strong interference cell, and the configuration information comprises signal transmitting power of the strong interference cell, a precoding matrix of the strong interference cell and a channel matrix between the strong interference cell and a target terminal; taking the average value of the interference elimination factors of a plurality of strong interference cells as a target interference elimination factor.

In a possible implementation manner, a third interference value of an uplink signal of the interfering terminal to the first downlink signal satisfies a second formula, where the second formula is:

B3＝∑ _m βP _n /L _gn ；

wherein B3 representsA third interference value, beta represents a target interference cancellation factor, P _n Representing the signal transmission power, L, of an mth interfering terminal _gn The method is characterized in that the method is used for indicating the link loss between the mth interference terminal and the target terminal, m is used for indicating the number of the interference terminals, m and n are positive integers, and n is less than or equal to m.

In a possible implementation manner, the signal-to-noise ratio of the first downlink signal satisfies a preset formula, where the preset 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.

In a second aspect, a downlink signal detection apparatus (for convenience of description, hereinafter, referred to as a signal detection apparatus) 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 downlink signal sent by the target cell to a target terminal, where the signal detection apparatus may be a functional module for implementing the method in the first aspect or any possible design of the first aspect. The signal detection means may implement the functions performed in the above aspects or 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 signal detection device includes a determination unit and a processing unit.

And the determining unit is used for determining first interference values of downlink signals of the plurality of interference cells on the first downlink signals and second interference values of noise on the first downlink signals.

A processing unit, configured to determine a target interference cancellation factor according to configuration information of the plurality of interference cells; the target interference cancellation factor is used for characterizing the interference degree of the interference signal to the first downlink signal.

And the processing unit is used for calculating a third interference value of the uplink signal of the interference terminal to the first downlink signal according to the target interference elimination factor, the signal transmitting power of the interference terminal and the link loss between the interference terminal and the target terminal.

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

The specific implementation manner of the signal detection device may refer to the behavior function of the downlink signal detection method of the flexible frame structure simulation system provided by the first aspect or any possible design of the first aspect, and will not be repeated here. Therefore, the downlink 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 cells include a strong interference terminal and a weak interference terminal, a large-scale path loss between the strong interference cell and the target terminal is greater than or equal to a preset threshold, a large-scale path loss between the weak interference cell and the target terminal is less than the preset threshold, and a determining unit is specifically configured to: calculating the interference value of the downlink signal of the strong interference cell on the first downlink signal according to the signal transmitting power of the strong interference cell, the channel matrix between the target terminal and the strong interference cell and the precoding matrix of the strong interference cell; according to the signal transmitting power of the weak interference cell and the link loss from the target terminal to the weak interference cell, calculating the interference value of the downlink signal of the weak interference cell on the first downlink signal, wherein the first interference value comprises: the interference value of the downlink signal of the strong interference cell to the first downlink signal and the interference value of the downlink signal of the weak interference cell to the first downlink signal.

In a possible implementation manner, the determining unit is specifically configured to: determining interference values of downlink signals transmitted by a plurality of strong interference cells and interference values of downlink interference signals received by a target terminal; the interference value of the downlink signal is determined according to configuration information of a plurality of strong interference cells, wherein the configuration information comprises signal transmitting power of the strong interference cells, a precoding matrix of the strong interference cells and a channel matrix between the strong interference cells and a target terminal; and determining a target interference elimination factor according to the ratio of the interference value of the downlink interference signal received by the target terminal to the interference values of the downlink interference signals transmitted by the strong interference cells.

In a possible implementation manner, the determining unit is specifically configured to: determining an interference elimination factor of each strong interference cell in a plurality of strong interference cells, wherein the interference elimination factor of the strong interference cell is determined for configuration information of the strong interference cell, and the configuration information comprises signal transmitting power of the strong interference cell, a precoding matrix of the strong interference cell and a channel matrix between the strong interference cell and a target terminal; taking the average value of the interference elimination factors of a plurality of strong interference cells as a target interference elimination factor.

B3＝∑ _m βP _n /L _gn 。

wherein B3 represents a third interference value, beta represents a target interference cancellation factor, P _n Representing the signal transmission power, L, of an mth interfering terminal _gn The method is characterized in that the method is used for indicating the link loss between the mth interference terminal and the target terminal, m is used for indicating the number of the interference terminals, m and n are positive integers, and n is less than or equal to m.

In a third aspect, a downstream signal detection apparatus (hereinafter, simply referred to as a signal detection apparatus for convenience of description) of a flexible frame structure simulation system is provided. The signal detection device may implement the functions performed in the above aspects or in each possible design, where the functions may be implemented by hardware, for example: in one possible design, the signal detection device may include: a processor and a communication interface, the processor being operable to support the signal detection 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 determines an interference elimination factor of the interference terminal according to a preset neural network algorithm.

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

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 downstream signal detection methods of 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 downstream 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 downlink 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 a signal detection device 300 according to an embodiment of the present application;

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

fig. 5 is a schematic diagram of a downlink signal detection method of another flexible frame structure simulation system according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of another signal detection device 60 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, before networking, the uplink signal received by the cell may be detected through system simulation to determine the signal-to-noise ratio of the uplink signal received by the cell.

In general, the signal quality of the downlink signal received by the terminal may be determined by a signal-to-noise ratio. For example, the block error rate of the downlink signal may be mapped by the signal-to-noise ratio, so that the data throughput of the terminal 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 downlink signal received by the terminal before networking.

In the simulation scene, when the cell and the terminal adopt the same frame structure to carry out signal transmission, the downlink signal sent by the cell to the terminal can be interfered by the downlink signal sent by the interference cell in the same time slot. When a detected cell (hereinafter, for distinguishing from an interfering cell, the detected cell is referred to as a serving cell) receives a downlink signal from the serving cell, the downlink signal received by the target terminal may be calculated by the following formula one.

Wherein y represents a signal when a downlink signal transmitted by a serving cell reaches a target terminal. P (P) ₁ The signal transmission power used when the serving cell transmits a downlink signal to the target terminal is indicated. H _1s Representing the channel matrix between the target terminal and the serving 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 serving cell. Np is the number of antennas of the target terminal, and Nb is the number of antennas of the serving cell. W (W) ₁ Representing the precoding matrix of the serving cell. The precoding matrix has an order of nb×m1. M1 is the number of signal streams of the downstream signal. 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 Indicating the signal transmit power used when the i-th strong interfering cell transmits the downlink signal. i is a positive integer. H _1g Representing the channel matrix between the target terminal and the strongly interfering cell. W (W) _i Representing the precoding matrix of the i-th strong interfering cell. X is x _i ＝(x ₁ ，x ₂ ，…，x _Mj ) ^T A normalized vector representing the signal transmitted by the interfering 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 the i-th weak interfering cell. L (L) _ig Indicating the link loss between the target terminal and the i-th weak interfering cell. 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 terminal may refer to a terminal that generates interference to a downlink signal received by the target terminal. The interfering cell may refer to a cell in which a transmitted downlink signal can interfere with a downlink signal of a serving cell. The interfering cells may include strong interfering cells and weak interfering cells.

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 provide communication services for terminal 1 and cell 2 may provide communication services for terminal 2.

For terminal 1, cell 1 may be referred to as a serving cell. When the cell 1 and the cell 2 use the same frame structure and the same time slot to transmit the downlink signal, the downlink signal transmitted by the cell 2 to the terminal 2 may generate interference to the downlink signal transmitted by the cell 1 to the terminal 1. At this time, the cell 2 may be referred to as a cell 1 and an interfering cell of the terminal 1.

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

Alternatively, if the terminal 1 has a plurality of interfering cells, the plurality of interfering cells may be ranked according to the magnitude of the large-scale path loss from the interfering cells to the terminal 1, and the first N interfering cells may be used as strong interfering cells of the terminal 1, and the remaining interfering cells may be used as weak interfering cells of the terminal 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 (e.g., the target terminal) may perform linear detection on the signal to obtain a detected signal (i.e., a recovered original signal).

For example, the target terminal may detect the received downlink signal by 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 terminal may perform linear detection on the received downlink signal by using a preset detection matrix, so as to obtain a detected downlink signal.

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

wherein,and representing the downlink signal received by the target terminal, wherein the downlink signal comprises a useful signal and an inter-stream interference signal. />Representing the interference signals of other terminals in a multi-user (MU) paired terminal group and the interference signals of strong interfering cells. The MU paired terminal group includes one or more interfering terminals of the target terminal. Dz represents noise disturbance. / >Representing the interfering signal of a weak interfering cell.

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

wherein,

for any signal stream (such as an mth signal stream) in the downlink signal received by the target terminal, the signal after linear detection of the mth signal stream 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 and the terminal adopt a flexible frame structure to perform signal transmission, the downlink signal sent by the cell is not only interfered by the downlink signal of the interference cell in the same time slot, but also can be interfered by the uplink signal of the interference terminal.

For example, as shown in fig. 2, when an interfering terminal transmits an uplink signal to an interfering cell, the uplink signal may be received by a serving cell. When the interference cell is the same as the time slot resource used by the target terminal, the uplink signal will interfere with the downlink signal received by the target terminal. Meanwhile, the uplink signal sent by the interference cell to the interference terminal can also generate interference to the downlink signal sent by the service cell.

In view of this, the embodiment of the present application provides a downlink signal detection method of a flexible frame structure simulation system, when a serving cell adopts a flexible frame structure to send a downlink signal to a terminal, the downlink signal received by the terminal from the serving cell may be interfered by the downlink signal of a neighboring cell and an uplink signal of an interfering terminal. Based on this, in the embodiment of the present application, the signal to noise ratio of the downlink signal from the serving cell received by 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 downlink signal from the serving cell received by 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 evaluate the signal quality of the downlink signal received by the terminal.

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 uplink signal received by 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 one example, the embodiments of the present application also provide a signal detection apparatus that may be used to perform the methods of the embodiments of the present application. For example, the signal detection device may be a simulation device, or may be a device in the simulation device. The signal detection device 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 a signal detection apparatus 300 according to an embodiment of the present application is provided. The signal detection device 300 may include a processor 301, a communication interface 302, and a communication line 303.

Further, the signal detection device 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 signal detection apparatus 300.

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 inside the signal detection device 300 or outside the signal detection device 300, without limitation. The processor 301 is configured to execute the instructions stored in the memory 304, so as to implement a downlink 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 signal detection device 300 includes a plurality of processors, for example, the processor 307 may be included in addition to the processor 301 in fig. 3.

As an alternative implementation, the signal detection apparatus 300 further comprises 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 signal detecting apparatus 300 may be a desktop computer, a portable computer, a web server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device having a similar structure as 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 a downlink 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.

As shown in fig. 4, the present application provides a method for detecting a downlink signal of a flexible frame structure simulation system, where the method includes:

s401, determining a first interference value of downlink signals of a plurality of interference cells to a first downlink signal and a second interference value of noise to the first downlink signal.

The first downlink signal is a downlink signal sent by the serving cell to the target terminal. The target cell may be the serving cell in fig. 2. The target terminal may be the target terminal in fig. 2. The interfering cell may be cell 2 of fig. 2.

In one example, the plurality of interfering cells may be divided into strong and weak interfering cells according to a large scale path loss between the interfering cells and the target terminal. The strong interference cell and the weak interference cell may be referred to the above description, and will not be repeated. Noise may refer to an interfering signal that interferes with the first downlink signal except for an interfering cell and an interfering terminal.

The first interference value may be a sum of an interference value of a downlink signal of the strong interference cell to the first downlink signal and an interference value of a downlink signal of the weak interference cell to the first downlink 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 downlink signal of the strong interference cell on the first downlink signal may satisfy the formula two.

Bq＝∑ _{i epsilon downlink strong} ∑ _j P _i |DH _1g W _i | ² Formula II

Wherein Bq represents an interference value of a downlink signal of a strong interference cell to the first downlink signal. P (P) _i Indicating the signal transmit power used by the i-th strong interfering cell to transmit the downlink signal. H _1g Representing the channel matrix between the i-th strong interfering cell and the target terminal. W (W) _i Representing the precoding matrix of the i-th strong interfering cell. j is the number of strong interference cells, i and j are positive integers, and i is less than or equal to j.

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

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

For example, the interference value of the downlink signal of the weak interference cell on the first downlink signal may satisfy the formula three.

Br＝∑ _{i epsilon downlink weak} ∑ _j |D| ² P _w /L _ug Formula III

Wherein Br represents an interference value of the downlink signal of the i-th weak interference cell to the first downlink signal. P (P) _w Indicating the signal transmit power used by the i-th weak interfering cell to transmit the downlink signal. j is the number of weak interference cells, i and j are positive integers, and i is less than or equal to j.

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

In yet another example, the second interference value of the noise on the first downlink signal may satisfy equation four.

B2＝∑ _j |D| ² σ ² Equation four

Wherein B2 represents the second interference value. j is the amount of noise. j is a positive integer.

S402, determining a target interference elimination factor according to configuration information of a plurality of interference cells.

The configuration information of the interfering cell may refer to configuration information of a strong interfering cell. For example, the configuration information of the interfering cell may include at least a signal transmission power of the strong interfering cell, a precoding matrix of the strong interfering cell, and a channel matrix between the strong interfering cell and the target terminal. The configuration information of the interfering cell may be preconfigured for the simulation device or may be determined by simulation for the simulation device.

In one possible implementation, the target interference cancellation factor may satisfy equation five.

Where β represents the target interference cancellation factor. j represents the number of the plurality of strong interfering cells. P (P) _i Representing the signal transmit power of an i-th strong interfering cell of the plurality of strong interfering cells. H _1g Representing the channel matrix between the i-th strong interfering cell and the target terminal. W (W) _i Representing the precoding matrix of the i-th strong interfering cell. q is the number of antennas of the target terminal, q, i and j are positive integers, and i is less than or equal to j.

In yet another possible implementation manner, the simulation device may first determine an interference cancellation factor of each of the multiple strong interference cells, and determine the target interference cancellation factor according to the interference cancellation factors of the multiple strong interference cells.

In one example, the interference cancellation factor for each strong interfering cell may satisfy equation six.

Where x represents the number of streams of the uplink signal sent by the strong interfering cell.

After determining the interference cancellation factor for each strong interference cell, the simulation device may take the average of the interference cancellation factors of the plurality of strong interference cells as the target interference cancellation factor.

For example, the target interference cancellation factor β= Σ _j β _i /j。

S403, calculating a third interference value of the downlink signal of the interference terminal to the first downlink signal according to the target interference cancellation factor, the signal transmitting power of the interference terminal and the link loss between the interference terminal and the target terminal.

The uplink signal of the interfering terminal may refer to a signal sent by the interfering terminal to a serving cell of the interfering terminal, where a time slot used by the interfering terminal to send the uplink signal is the same as a time slot used by the target terminal to receive the first downlink signal. The interfering cells may also be referred to as cross-interfering cells.

For example, for an nth interfering terminal of the plurality of interfering terminals, a link loss between the nth interfering terminal and the target terminalL _gn ＝PL _gn -G _g -G _n 。PL _gn Representing the large-scale path loss between the target terminal and the nth interfering terminal. G _in Indicating the antenna gain of the interfering terminal.

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

B3＝∑ _{m epsilon uplink} βP _n /L _gn Equation seven

Wherein B3 represents a third interference value. Beta represents the target interference cancellation factor. P (P) _n Indicating the signal transmit power used by the nth interfering terminal to transmit the uplink signal.

S404, determining the signal-to-noise ratio of the first downlink signal according to the signal strength of the first downlink signal, the first interference value, the second interference value and the third interference value.

The signal strength of the first downlink signal may refer to the signal strength of the downlink signal from the serving cell received by the target terminal.

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

In the embodiment of the present application, the serving cell, the interfering cell, the target terminal and the interfering 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 serving 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 terminal needs to perform linear detection after receiving the downlink signal from the serving cell, the original downlink signal (i.e., the first downlink signal) can be obtained.

In an example, to obtain the original downlink signal, the simulation device may establish a channel matrix between the target terminal and the serving cell through simulation, and obtain a precoding matrix of the serving cell. Then, the simulation device can determine the channel matrix H between the target terminal and the serving cell _1s And the precoding matrix of the target terminal determines the signal when the downlink signal sent by the serving cell reaches the target terminal. Furthermore, the simulation device can perform linear detection on the signal to obtain a first downlink signal from the serving cell, which is received by the target terminal.

The method for establishing the channel matrix between the target terminal and the serving cell may refer to the prior art, and will not be described in detail. Precoding matrix W of serving cell ₁ The precoding matrix may be preconfigured for the serving cell, the precoding matrix being related to the antenna configuration information of the serving cell. Alternatively, the precoding matrix of the serving cell end may be configured for the target terminal through simulation.

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

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

Wherein, the signal strength of the first downlink signal satisfies the formula eight.

S1＝P|DH _1s W ₁ | ² Equation eight

S1 is the signal strength of a first downlink signal received by a target terminal from a serving cell, and P is the signal transmitting power used by the serving cell to transmit the downlink signal to the target terminal.

In one example, the signal-to-noise ratio of the first downlink signal satisfies equation nine.

SINR = S1/(s1+b1+b2+b3) formula nine

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

Based on the technical scheme shown in fig. 4, when a cell adopts a flexible frame structure to send a downlink signal to a terminal, the downlink signal received by the terminal from a serving cell can be interfered by the downlink signal of a neighboring cell and the uplink signal of an interfering terminal. Therefore, in the embodiment of the present application, the signal to noise ratio of the downlink signal from the serving cell received by 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 downlink signal from the serving cell received by 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 evaluate the signal quality of the downlink signal received by the terminal.

In a possible embodiment, as shown in fig. 5, an embodiment of the present application provides a method for detecting a downlink signal of a flexible frame structure simulation system, where the method includes S501 to S509.

S501, establishing a channel matrix between each terminal and a target cell and between each terminal and a strong interference cell.

Wherein each terminal may include an interfering terminal and a target terminal. S501 may refer to the description of S404, and will not be described again.

S502, calculating the link loss between the target terminal and each interference terminal.

Herein, S502 may refer to the description of S402 and will not be described herein.

S503, determining the terminal with the same time slot resource used by the target terminal.

The terminal with the same time slot resource used by the target terminal is an interference terminal.

In one possible implementation, the simulation device may determine, according to the timeslot resources configured by the simulation system for each terminal, a terminal that is the same as the timeslot resources used by the target terminal. The time slot resources may refer to downlink time slot resources. That is, when the target terminal receives the downlink signal using the downlink slot resource at a certain time, the interfering terminal also transmits the uplink signal using the same slot resource at that time. Thus, the uplink signal sent by the interfering terminal can interfere with the downlink signal received by the target terminal.

S504, when the interference cell uses the uplink time slot resource, the terminal which is served by the interference cell is used as a cross interference terminal.

S505, when the interference cell does not use the downlink time slot resource, determining whether the target terminal establishes a channel matrix with the interference cell.

Wherein, the interference cell does not use the downlink time slot resource means that the interference cell does not transmit the downlink signal currently.

In one possible implementation, the simulation device may determine and identify the strong and weak interfering cells at a start of the simulation. Thus, the simulation equipment can determine whether the interference cell and the target terminal establish a channel matrix according to the identification of the interference terminal cell.

S506, when the target terminal and the interference terminal establish a channel matrix, the interference cell is used as a strong interference cell.

S507, calculating a target interference elimination factor according to the configuration information of the strong interference cell.

In an example, the downlink signal received by the target terminal may be:

wherein, downlink strong may refer to a strong interfering cell. Downlink weak may refer to weak interfering cells. P (P) _i Representing the signal transmit power of the i-th strong interfering cell. i is a positive integer. H _1g Representation ofAnd the channel matrix between the ith strong interference cell and the target terminal. W (W) _i Representing the precoding matrix of the i-th strong interfering cell. X is x _i A normalized vector representing the useful signal transmitted by the i-th strong interfering cell. P (P) _m Representing the signal transmit power of the mth weak interfering cell. m is a positive integer. L (L) _mw Indicating the link loss between the mth weak interference cell and the target terminal.

The method for calculating the target interference cancellation factor may include a first method and a second method.

The method comprises the following steps: and calculating a target interference elimination factor according to the downlink interference signals received by the target terminal and the downlink signals sent by the multiple strong interference cells.

The target interference cancellation factor may be:x represents the number of streams of the downlink signal of the i-th strong interfering cell.

The second method is as follows: and determining the interference elimination factor of each strong interference cell, and calculating a target interference elimination factor according to the interference elimination factors of a plurality of strong interference cells.

Wherein the target interference cancellation factor may be

S508, when the target terminal and the interference cell do not establish a channel matrix, the interference small cell is used as a weak interference cell.

S509, calculating the signal-to-noise ratio of the downlink signal received by the target terminal.

Herein, S509 may refer to the description of S404, and will not be described herein.

Based on the technical scheme shown in fig. 5, when a cell adopts a flexible frame structure to send a downlink signal to a terminal, the downlink signal received by the terminal from a serving cell can be interfered by the downlink signal of a neighboring cell and the uplink signal of an interfering terminal. Therefore, in the embodiment of the present application, the signal to noise ratio of the downlink signal from the serving cell received by 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 downlink signal from the serving cell received by 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 evaluate the signal quality of the downlink signal received by the terminal.

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 signal detection apparatus 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. 6 shows a schematic configuration of a signal detecting apparatus 60, which signal detecting apparatus 60 can be used to perform the functions involved in the simulation device in the above-described embodiment. The signal detection device 60 shown in fig. 6 may include: a determining unit 601 and a processing unit 602.

A determining unit 601 is configured to determine a first interference value of downlink signals of a plurality of interfering cells to the first downlink signal and a second interference value of noise to the first downlink signal.

A processing unit 602, configured to determine a target interference cancellation factor according to configuration information of the plurality of interference cells; the target interference cancellation factor is used for characterizing the interference degree of the interference signal to the first downlink signal.

The processing unit 602 is further configured to calculate a third interference value of the uplink signal of the interfering terminal on the first downlink signal according to the target interference cancellation factor, the signal transmission power of the interfering terminal, and the link loss between the interfering terminal and the target terminal.

The processing unit 602 is further configured to determine a signal-to-noise ratio of the first downlink signal according to the signal strength of the first downlink signal, the first interference value, the second interference value, and the third interference value.

In a possible implementation manner, the plurality of interference cells include a strong interference terminal and a weak interference terminal, a large-scale path loss between the strong interference cell and the target terminal is greater than or equal to a preset threshold, a large-scale path loss between the weak interference cell and the target terminal is less than the preset threshold, and a determining unit.

The determining unit 601 is specifically configured to: calculating the interference value of the downlink signal of the strong interference cell on the first downlink signal according to the signal transmitting power of the strong interference cell, the channel matrix between the target terminal and the strong interference cell and the precoding matrix of the strong interference cell; according to the signal transmitting power of the weak interference cell and the link loss from the target terminal to the weak interference cell, calculating the interference value of the downlink signal of the weak interference cell on the first downlink signal, wherein the first interference value comprises: the interference value of the downlink signal of the strong interference cell to the first downlink signal and the interference value of the downlink signal of the weak interference cell to the first downlink signal.

In a possible implementation manner, the determining unit 601 is specifically configured to: determining interference values of downlink signals transmitted by a plurality of strong interference cells and interference values of downlink interference signals received by a target terminal; the interference value of the downlink signal is determined according to configuration information of a plurality of strong interference cells, wherein the configuration information comprises signal transmitting power of the strong interference cells, a precoding matrix of the strong interference cells and a channel matrix between the strong interference cells and a target terminal; and determining a target interference elimination factor according to the ratio of the interference value of the downlink interference signal received by the target terminal to the interference values of the downlink interference signals transmitted by the strong interference cells.

In one possible implementation, the target interference cancellation factor satisfies a first formula: wherein, beta represents a target interference cancellation factor, j represents the number of a plurality of strong interference cells, D represents a detection matrix of a target terminal, and P _i Representing the signal transmission power, H, of the ith strong interference cell of the plurality of strong interference cells _1g Representing the channel matrix, W, between the i-th strong interference cell and the target terminal _i And (3) representing a precoding matrix of the ith strong interference cell, wherein q is the number of antennas of the target terminal, q, i and j are positive integers, and i is less than or equal to j.

In a possible implementation manner, the determining unit 601 is specifically configured to: determining an interference elimination factor of each strong interference cell in a plurality of strong interference cells, wherein the interference elimination factor of the strong interference cell is determined for configuration information of the strong interference cell, and the configuration information comprises signal transmitting power of the strong interference cell, a precoding matrix of the strong interference cell and a channel matrix between the strong interference cell and a target terminal; taking the average value of the interference elimination factors of a plurality of strong interference cells as a target interference elimination factor.

B3＝∑ _m βP _n /L _gn 。

As yet another implementation, the processing unit 602 in fig. 6 may be replaced by a processor, which may integrate the functionality of the processing unit 602.

Further, when the processing unit 602 is replaced by a processor, the signal detecting apparatus 60 according to the embodiment of the present application may be the 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 signal detection apparatus (including the data transmitting end and/or the data receiving end) of any of the foregoing embodiments, for example, a hard disk or a memory of the signal detection apparatus. 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 both an internal storage unit and an external storage device of the signal detection apparatus. The computer-readable storage medium is used for storing the computer program and other programs and data required by the signal detection device. 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 downlink signal detection method of a flexible frame structure simulation system is characterized in that the flexible frame structure simulation system comprises a service cell of a target terminal and a plurality of interference cells, wherein the interference cells are cells in which downlink signals interfere with first downlink signals, and the first downlink signals are signals sent by the service cell to the target terminal, and the method comprises the following steps:

determining first interference values of downlink signals of a plurality of interference cells to the first downlink signals and second interference values of noise to the first downlink signals;

determining a target interference elimination factor according to configuration information of the plurality of interference cells; the target interference cancellation factor is used for representing the interference degree of an interference signal on the first downlink signal; the target interference cancellation factor satisfies a first formula, the first formula being:

Where β represents a target interference cancellation factor, j represents the number of multiple strong interference cells, P _i Representing the signal transmitting power of the ith strong interference cell in the multiple strong interference cells, D representing the detection matrix of the target terminal, H _1g Representing a channel matrix, W, between the i-th strong interference cell and the target terminal _i Representing a precoding matrix of the ith strong interference cell, wherein q is the number of antennas of the target terminal, q, i and j are positive integers, and i is less than or equal to j;

calculating a third interference value of an uplink signal of the interference terminal to the first downlink signal according to the target interference cancellation factor, the signal transmitting power of the interference terminal and the link loss between the interference terminal and the target terminal; the third interference value satisfies a second formula, where the second formula is:

B3＝∑ _m βP _n /L _gn ；

wherein B3 represents the third interference value, beta represents the target interference cancellation factor, P _n Representing the signal transmission power, L, of an mth interfering terminal _gn Representing the link loss between the mth interference terminal and the target terminal, wherein m represents the number of the interference terminals, m and n are positive integers, and n is less than or equal to m; according to the firstAnd determining the signal-to-noise ratio of the first downlink signal according to the signal strength of the downlink 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 cells includes a strong interfering cell and a weak interfering cell, the strong interfering cell being an interfering cell in the plurality of interfering cells having a large-scale path loss with the target terminal greater than or equal to a preset threshold, the weak interfering cell being an interfering cell in the plurality of interfering cells having a large-scale path loss with the target terminal less than the preset threshold, the determining a first interference value of the downlink signal of the plurality of interfering cells to the first downlink signal comprising:

calculating the interference value of the downlink signal of the strong interference cell to the first downlink signal according to the signal transmitting power of the strong interference cell, the channel matrix between the target terminal and the strong interference cell and the precoding matrix of the strong interference cell;

according to the signal transmitting power of the weak interference cell and the link loss from the target terminal to the weak interference cell, calculating the interference value of the downlink signal of the weak interference cell on the first downlink signal, wherein the first interference value comprises: the interference value of the downlink signal of the strong interference cell to the first downlink signal and the interference value of the downlink signal of the weak interference cell to the first downlink signal.

3. The method of claim 2, wherein said determining a target interference cancellation factor based on configuration information of said plurality of interfering cells comprises:

determining interference values of downlink signals transmitted by a plurality of strong interference cells and the interference values of the downlink interference signals received by the target terminal; the interference value of the downlink signal is determined according to configuration information of the strong interference cells, wherein the configuration information comprises signal transmitting power of the strong interference cells, a precoding matrix of the strong interference cells and a channel matrix between the strong interference cells and the target terminal;

and determining the target interference elimination factor according to the ratio of the interference value of the downlink interference signal received by the target terminal to the interference value of the downlink interference signal transmitted by the strong interference cells.

4. The method of claim 2, wherein said determining a target interference cancellation factor based on configuration information of said plurality of interfering cells comprises:

determining an interference elimination factor of each strong interference cell in a plurality of strong interference cells, wherein the interference elimination factor of the strong interference cell is determined according to configuration information of the strong interference cell, the configuration information comprises signal transmitting power of the strong interference cell and a precoding matrix of the strong interference cell, and a channel matrix between the strong interference cell and the target terminal;

And taking the average value of the interference cancellation factors of the strong interference cells as the target interference cancellation factor.

5. The method of any of claims 1-4, wherein the signal to noise ratio satisfies a third formula, the third formula being:

SINR＝S1/(S1+B1+B2+B3)；

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

6. The downlink signal detection device of the flexible frame structure simulation system is characterized in that the flexible frame structure simulation system comprises a service cell of a target terminal and a plurality of interference cells, wherein the interference cells are cells for generating interference on a first downlink signal by downlink signals, the first downlink signal is a signal sent by the service cell to the target terminal, and the device comprises a determining unit and a processing unit;

the determining unit is configured to determine a first interference value of downlink signals of a plurality of interference cells to the first downlink signal and a second interference value of noise to the first downlink signal;

the processing unit is used for determining a target interference elimination factor according to the configuration information of the plurality of interference cells; the target interference cancellation factor is used for representing the interference degree of an interference signal on the first downlink signal; the target interference cancellation factor satisfies a first formula, the first formula being:

the processing unit is configured to calculate a third interference value of an uplink signal of the interfering terminal on the first downlink signal according to the target interference cancellation factor, a signal transmitting power of the interfering terminal, and a link loss between the interfering terminal and the target terminal; the third interference value satisfies a second formula, where the second formula is:

B3＝∑ _m βP _n /L _gn ；

wherein B3 represents the third interference value, beta represents the target interference cancellation factor, P _n Representing the signal transmission power, L, of an mth interfering terminal _gn Representing the link loss between the mth interference terminal and the target terminal, wherein m represents the number of the interference terminals, m and n are positive integers, and n is less than or equal to m;

7. The apparatus according to claim 6, wherein the plurality of interfering cells includes a strong interfering cell and a weak interfering cell, the strong interfering cell being an interfering cell in which a large-scale path loss between the plurality of interfering cells and the target terminal is greater than or equal to a preset threshold, the weak interfering cell being an interfering cell in which a large-scale path loss between the plurality of interfering cells and the target terminal is less than the preset threshold, the determining unit being specifically configured to:

8. The apparatus according to claim 7, wherein the processing unit is specifically configured to:

9. The apparatus according to claim 7, wherein the processing unit is specifically configured to:

10. The apparatus according to any of claims 6-9, wherein the signal to noise ratio satisfies a third formula, the third formula being:

SINR＝S1/(S1+B1+B2+B3)；

11. A computer readable storage medium having instructions stored therein which, when executed, implement the method of any of claims 1-5.

12. A signal detection apparatus, comprising: a processor, a memory, and a communication interface; wherein the communication interface is used for the 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 signal detection apparatus, cause the signal detection apparatus to perform the method of any of claims 1-5.