CN115087006B

CN115087006B - Flexible frame structure system downlink simulation method, device and equipment

Info

Publication number: CN115087006B
Application number: CN202210698331.1A
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: 2024-04-02
Anticipated expiration: 2042-06-20
Also published as: CN115087006A

Abstract

The application discloses a downlink simulation method, device and equipment of a flexible frame structure system, which relate to the technical field of communication and comprise the following steps: under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining the detected signal-to-noise ratio and the detected air interface performance between an interfered user and an interfered user in the pre-simulation process, and obtaining an air interface performance mapping table; determining a first link loss between an interfered user and a serving cell of the interfered user, a second link loss between the interfered user and a plurality of cells, and a third link loss between the interfered user and each of the interfered users included in the TDD system in a simulation process; determining target air interface performance corresponding to the interfered users based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user; and determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table. The method and the device are applied to the scene of the downlink simulation of the flexible frame structure system.

Description

Flexible frame structure system downlink simulation method, device and equipment

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a method, an apparatus, and a device for downlink simulation of a flexible frame structure system.

Background

A time division duplex (Time Division Development, TDD) system in a mobile communication system allocates uplink and downlink to the same spectrum, the uplink and downlink occupy different time periods respectively, and the TDD system can allocate different uplink and downlink in different time slots to fully use radio resources, so as to adapt to asymmetric characteristics of different services. For the change of Uplink and Downlink switching points of a TDD system, for example, NR millimeter waves define three subframe configuration structures, including DSUUU, DDSUU and DDDSU, where D represents a Downlink slot (Downlink slot) and U represents an Uplink slot (Uplink slot) and S represents a Special slot (Special slot) and S represents a Downlink slot or Uplink slot, and different cells may be configured with different frame structures under an environment with better isolation due to poor penetration performance of millimeter wave frequency bands, so that the cells may determine that the frame structure configuration is adaptively adjusted according to conditions such as Uplink and Downlink traffic of the coverage area of the cells, so that Uplink and Downlink bandwidths of the frame structure configuration meet traffic demands.

In the method, the flexible frame structure configuration can fully embody the flexible adaptability of the TDD system to the wireless resource, but because different cells adopt different frame structures (namely, different uplink and downlink switching points of the TDD system), the cross time slot interference problem can be introduced between the cells, and the system capacity is easy to be reduced. Therefore, under the condition that the TDD system adopts flexible frame structure configuration, the problem of cross time slot interference exists, so that the capacity of the TDD system is reduced, and the signal quality of the cross time slot is poor.

Disclosure of Invention

The application provides a downlink simulation method, a device and equipment of a flexible frame structure system, which are used for providing a simulation method of uplink to downlink interference in a TDD system when the TDD system adopts flexible frame structure configuration, determining the signal quality of a cross time slot and improving the efficiency of determining the signal quality of the cross time slot.

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

in a first aspect, a downlink simulation method of a flexible frame structure system is provided, and the method includes: under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining the detected signal-to-noise ratio and the detected air interface performance between an interfered user and an interfered user in the pre-simulation process, and obtaining an air interface performance mapping table; the air interface performance mapping table comprises a plurality of mapping relations, each mapping relation indicates a corresponding relation between a signal-to-noise ratio after detection and an air interface performance before detection, the TDD system comprises a plurality of cells, and each cell comprises a plurality of users; determining a first link loss between the interfered user and a serving cell of the interfered user, determining a second link loss between the interfered user and a plurality of cells, and determining a third link loss between the interfered user and each of the interfered users included in the TDD system in the simulation process; determining target air interface performance corresponding to the interfered users based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user; and determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table, wherein the target signal-to-noise ratio is used for indicating the signal quality of the cross time slot corresponding to the interfered user.

In one possible implementation manner, determining a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfered user in a pre-simulation process to obtain an air interface performance mapping table includes: determining a corresponding post-detection signal-to-noise ratio between the interfered user and each interfered user based on a channel matrix between the interfered user and a service cell of the interfered user, a detection matrix corresponding to the interfered user, a channel matrix between the interfered user and a strong interference cell, a channel matrix between the interfered user and the strong interference user, link loss between the interfered user and a weak interference cell and link loss between the interfered user and the weak interference user in a pre-simulation process; the large-scale path loss between the strong interference cell and the service cell of the interfered user meets the preset condition, and the weak interference cell is a cell except the strong interference cell in a plurality of cells; determining corresponding detection front air interface performance between an interfered user and each interfered user based on link loss between the interfered user and a service cell of the interfered user, link loss between the interfered user and a plurality of cells, link loss between the interfered user and each interfered user included in a TDD system and transmitting power of each interfered user in a pre-simulation process; and obtaining an air interface performance mapping table based on the detected signal-to-noise ratio and the detected air interface performance.

In one possible implementation, based on the post-detection signal-to-noise ratio and the pre-detection air interface performance, an air interface performance mapping table is obtained, including: constructing a model based on the detected signal-to-noise ratio and the detected air interface performance, and dividing the detected air interface performance by taking a preset parameter as a step length to obtain a plurality of grids, wherein each grid corresponds to an upper limit value and a lower limit value; and determining the average signal-to-noise ratio of at least one detected signal-to-noise ratio corresponding to at least one pre-detection air interface performance in each grid, and determining the average signal-to-noise ratio as the target post-detection signal-to-noise ratio corresponding to each grid to obtain an air interface performance mapping table.

In one possible implementation, determining a first link loss between an interfered user and a serving cell of the interfered user, determining a second link loss between the interfered user and a plurality of cells, and determining a third link loss between the interfered user and each of the interfering users included in the TDD system during the simulation includes: determining a first link loss between the interfered user and the serving cell of the interfered user based on the large-scale path loss between the interfered user and the serving cell of the interfered user, the antenna gain of the interfered user, and the antenna gain of the serving cell of the interfered user; determining a second link loss between the interfered user and each of the plurality of cells based on the large-scale path loss between the interfered user and each of the plurality of cells, the antenna gain of the interfered user, the antenna gain of each of the plurality of cells; a third link loss between the interfered user and each of the interfering users included in the TDD system is determined based on the large-scale path loss between the interfered user and each of the interfering users included in the TDD system, the antenna gain of the interfered user, and the antenna gain of each of the interfering users included in the TDD system.

In one possible implementation, determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table includes: determining a target grid corresponding to target air interface performance from an air interface performance mapping table, and determining a target upper limit value, a target lower limit value and a signal-to-noise ratio after target detection corresponding to the target grid; the target air interface performance is larger than the target lower limit value and smaller than the target upper limit value; and determining the target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance, the target upper limit value, the target lower limit value and the target post-detection signal-to-noise ratio.

In a second aspect, a downlink simulation device for a flexible frame structure system is provided, where the downlink simulation device for the flexible frame structure system includes: a processing unit; the processing unit is used for determining the signal-to-noise ratio after detection and the performance of the air interface before detection between the interfered user and the interfered user in the pre-simulation process under the condition that the time division duplex TDD system is configured into a flexible frame structure, so as to obtain an air interface performance mapping table; the air interface performance mapping table comprises a plurality of mapping relations, each mapping relation indicates a corresponding relation between a signal-to-noise ratio after detection and an air interface performance before detection, the TDD system comprises a plurality of cells, and each cell comprises a plurality of users; a processing unit, configured to determine a first link loss between an interfered user and a serving cell of the interfered user in a simulation process, determine a second link loss between the interfered user and a plurality of cells, and determine a third link loss between the interfered user and each of the interfering users included in the TDD system; the processing unit is used for determining the target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user; and the processing unit is used for determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table, wherein the target signal-to-noise ratio is used for indicating the signal quality of the cross time slot corresponding to the interfered user.

In a third aspect, an electronic device, comprising: a processor and a memory; the memory is used for storing one or more programs, the one or more programs comprise computer-executable instructions, and when the electronic device runs, the processor executes the computer-executable instructions stored in the memory, so that the electronic device executes a flexible frame structure system downlink simulation method as in the first aspect.

In a fourth aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a flexible frame structure system downstream simulation method as in the first aspect.

The application provides a downlink simulation method, device and equipment of a flexible frame structure system, which are applied to a scene of downlink simulation of the flexible frame structure system. Under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining the detected signal-to-noise ratio and the detected air interface performance between an interfered user and an interfered user in a pre-simulation process, and obtaining an air interface performance mapping table comprising a plurality of mapping relations; determining a first link loss between an interfered user and a service cell of the interfered user in a simulation process, determining a second link loss between the interfered user and a plurality of cells, and determining a third link loss between the interfered user and each of the interfered users included in the TDD system; determining the target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user; and further determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table, and indicating the signal quality of the cross time slot corresponding to the interfered user through the signal-to-noise ratio. Through the steps, the target signal-to-noise ratio corresponding to the interfered user can be determined by determining the target air interface performance corresponding to the interfered user and determining the target signal-to-noise ratio corresponding to the interfered user from the air interface performance mapping table comprising a plurality of mapping relations according to the target air interface performance. Therefore, under the condition that the TDD system adopts flexible frame structure configuration and cross time slot interference exists, the signal quality of the cross time slot is determined in advance through simulation, and the efficiency of determining the signal quality of the cross time slot is improved.

Drawings

Fig. 1 is a schematic structural diagram of a downlink simulation system of a flexible frame structure system according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of downlink interference downlink and uplink interference downlink provided in an embodiment of the present application;

fig. 4 is a schematic flow chart of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 5 is a schematic flow chart III of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 6 is a flow chart diagram of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 7 is a schematic flow chart diagram of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 8 is a flowchart of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of a downlink simulation device of a flexible frame structure system according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

In the description of the present application, "/" means "or" unless otherwise indicated, for example, a/B may mean a or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Further, "at least one", "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.

In the dynamic system simulation, the evaluation of the user performance is based on the evaluation of the detection signal-to-noise ratio, and the block error rate is mapped through the signal-to-noise ratio, so that the data throughput is calculated. Under the condition of the same frame structure and the same time slot interference, the signal to noise ratio of the signal detection is calculated by the following steps:

taking the interfered user 1 as an example, a signal model that a downlink signal reaches a receiving end of a terminal user is as follows:

wherein,channel matrix, nb, representing interfered user j (e.g., interfered user 1) and a certain cell r _r Representing the number of antennas of cell r, +.>Indicating the number of antennas of the interfered user j. />Representing the precoding matrix of user j, where M _j Is the number of streams for user j; />Is the normalized vector of the useful signal transmitted by user j; p (P) _j Representing the transmit power of user j. When j=1, the detected user 1 is indicated, j=i indicates the MU paired user and the strong interference user of the neighboring cell, and g indicates the serving cell of the interference user i. Noise->The elements being CN (0, sigma) ² )；P _w Is the transmit power of the w-th weak interference link (i.e., weak interference user); l (L) _1g Is the link loss (including large-scale path loss and antenna gain) of the interfered user 1 to the interfering cell g (w-th weak interfering user serving cell g).

Receiving end for interfered user 1For linear detection, zero-forcing detection ZF, minimum mean square error MMSE, or any other linear detection method may be used. The detected output is

The first term in the second formula is the received signal of the detected user, and contains useful signals and interference between streams; the second item represents interference of other users in the MU paired user group and interference brought by strong interference users in the neighboring cell; the third term represents noise; the fourth term represents the interference of a weak interfering user.

Further, recordThe method comprises the following steps:

the output of the mth stream signal of the interfered user 1 is:

wherein A is _m 、B _im 、W _m Representation matrix A, B _i Row m of W, the signal-to-noise ratio of the mth stream signal is therefore:

wherein A is _mj 、B _im,j 、D _mj Representation A, B _i M-th row and j-th column elements of D.

The TDD system of the mobile communication system distributes the uplink and the downlink to the same frequency spectrum, the uplink and the downlink occupy different time periods respectively, and the TDD system can fully use wireless resources by distributing different uplink and downlink in different time slots to adapt to the asymmetric characteristics of different services. Because the millimeter wave frequency band has poor penetrability, different cells can be configured by adopting different frame structures under the environment with good isolation, so that the cells can judge and adaptively adjust the frame structure configuration according to the conditions of uplink and downlink service volume and the like of the coverage area of the cells, and the uplink and downlink bandwidth of the frame structure configuration meets the service volume requirement. The flexible frame structure can fully embody the flexible adaptability of the TDD system to the wireless resource, but the cross time slot interference problem is introduced due to the adoption of different frame structures in different cells, so that the system capacity is easily reduced. In order to verify whether different cells adopt a configuration mode of a flexible frame structure, throughput gain can be brought, the application provides an analysis method for carrying out dynamic system simulation evaluation before networking. The flexible frame structure is very different from the dynamic system simulation method and flow of the same frame structure system, and is mainly embodied in that the signal detection simulation evaluation method of the cross time slot interference and the same time slot interference is very different, so the application provides a flexible frame structure system downlink simulation method based on air interface performance mapping.

The downlink simulation method for the flexible frame structure system, which is provided by the embodiment of the application, can be applied to the downlink simulation system of the flexible frame structure system. Fig. 1 shows a schematic structure of the downstream simulation system of the flexible frame structure system. As shown in fig. 1, the flexible frame structure system downstream simulation system 20 includes: interfered user 21, interfered user 22, interfered cell 23, and interfered cell 24. The interfered user 21, the interfered user 22, the interfered cell 23 and the interfering cell 24 are connected, and the interfered user 21, the interfered user 22, the interfered cell 23 and the interfering cell 24 may be connected in a wired manner or in a wireless manner.

The flexible frame structure system downlink simulation system 20 may be used for the internet of things, and may include a plurality of central processing units (central processing unit, CPU), a plurality of memories, a storage device storing a plurality of operating systems, and other hardware.

The interfered user 21 is a user within the range of the interfered cell 23, and the interfered user 22 is a user within the range of the interfered cell 24. The interfered cell 23 is for providing network traffic services to the interfered user 21 and the interfered cell 24 is for providing network traffic services to the interfered user 22.

The interfered user 21, the interfered user 22, the interfered cell 23, and the interfering cell 24 may be independent devices, or may be integrated in the same device, which is not particularly limited in this application.

When the interfered user 21, the interfered user 22, the interfered cell 23, and the interfering cell 24 are integrated in the same device, the communication manner among the interfered user 21, the interfering user 22, the interfered cell 23, and the interfering cell 24 is communication among the internal modules of the device. In this case, the communication flow between the two is the same as "when the interfered user 21, the interfered user 22, the interfered cell 23, and the interfering cell 24 are independent of each other".

In the following embodiments provided in the present application, the present application is described taking an example in which the interfered user 21, the interfered user 22, the interfered cell 23, and the interfering cell 24 are provided independently of each other.

The following describes a downlink simulation method of a flexible frame structure system provided by an embodiment of the present application with reference to the accompanying drawings.

As shown in fig. 2, the downlink simulation method for the flexible frame structure system provided in the embodiment of the present application is applied to an electronic device, and includes S201-S204:

S201, under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining the signal-to-noise ratio after detection and the performance of an air interface before detection between an interfered user and an interfered user in a pre-simulation process, and obtaining an air interface performance mapping table.

The mapping table of the air interface performance comprises a plurality of mapping relations, each mapping relation indicates a corresponding relation between a signal-to-noise ratio after detection and an air interface performance before detection, the TDD system comprises a plurality of cells, and each cell comprises a plurality of users.

In this embodiment of the present application, when the TDD system is configured into a flexible frame structure, time slots between a plurality of cells included in the TDD system may be different, and for a downlink, as shown in fig. 3, in addition to being subjected to downlink interference in the same time slot, the TDD system may also be subjected to uplink interference from a neighboring cell, that is, a target user (an interfered user) receives an interference signal of an interfering user.

As a possible implementation manner, the embodiment of the present application includes a pre-simulation stage and an execution simulation stage, specifically, in the pre-simulation stage, simulation data needs to be analyzed to output an air-interface performance mapping table, so that when the simulation stage is executed, a post-detection Signal-to-noise ratio (SNR) corresponding to an interfered user is obtained by determining an air-to-interface ratio (CIR) of the interfered user and combining the air-interface performance mapping table.

It should be noted that, when the air interface performance mapping table is used as a public table and the simulation task is executed for multiple times according to the simulation requirement, the air interface performance mapping table can be reused, i.e. the pre-simulation is executed only once in the initial stage, and then the simulation stage task can be executed for multiple times according to the simulation requirement without re-executing the pre-simulation calculation of the air interface performance mapping table.

Alternatively, the pre-simulation stage may employ a co-frame structure system downstream simulation, or a flexible frame structure system simulation, where the analysis data for calculating the interference cancellation factor library is derived from one of the following methods:

data source 1: and in the pre-simulation stage, when the same-frame structure system is adopted for downlink simulation, all downlink simultaneous-slot strong interference users of each interfered user are taken as analysis data.

Data source 2: and in the pre-simulation stage, when the flexible frame structure system is adopted for downlink simulation, all uplink cross time slot strong interference users of each interfered user are taken as analysis data.

Data source 3: and in the pre-simulation stage, when the downlink simulation of the flexible frame structure system is adopted, all uplink cross time slot strong interference users and all downlink simultaneous time slot strong interference users of each interfered user are taken as analysis data. The embodiment of the present application is exemplified by the data source 3.

It should be noted that, each user in the TDD system is an interfered user, and in this embodiment of the present application, only one interfered user is taken as an example to perform an exemplary description, and in the actual implementation process, the present scheme needs to be circularly executed for each user in the TDD system to determine a signal-to-noise ratio corresponding to each user.

Optionally, the interfered user and the interfered user are users in different cells.

S202, determining first link loss between an interfered user and a serving cell of the interfered user in a simulation process, determining second link loss between the interfered user and a plurality of cells, and determining third link loss between the interfered user and each of the interference users included in the TDD system.

In one design, in order to determine a first link loss between an interfered user and a serving cell of the interfered user during a simulation process, determine a second link loss between the interfered user and a plurality of cells, and determine a third link loss between the interfered user and each of the interfering users included in the TDD system, as shown in fig. 4, in the downlink simulation method for a flexible frame structure system provided in the embodiment of the present application, the step in S202 may specifically include the following steps S301 to S303:

S301, determining a first link loss between the interfered user and the serving cell of the interfered user based on the large-scale path loss between the interfered user and the serving cell of the interfered user, the antenna gain of the interfered user and the antenna gain of the serving cell of the interfered user.

Alternatively, for each interfered user (e.g., interfered user 1), a first link loss L between the interfered user 1 and the interfered user's serving cell s is calculated by equation six _1s 。

S302, determining a second link loss between the interfered user and each of the plurality of cells based on the large-scale path loss between the interfered user and each of the plurality of cells, the antenna gain of the interfered user, and the antenna gain of each of the plurality of cells.

Optionally, a second link loss L between the interfered user 1 and each cell g of the plurality of cells comprised by the TDD system also needs to be calculated _1g 。

Illustratively, the interfered user u is illustrated as: for each cell g of a plurality of cells included in the TDD system, a link loss L between the interfered user u and the cell g is calculated by the formula six _ug 。

L _ug ＝PL _ug -G _g -G _u Formula six

Wherein PL is _ug Representing a large-scale path loss between an interfered user u and a cell G _g The antenna gain of cell G, G _u Indicating the antenna gain for user u.

S303, determining a third link loss between the interfered user and each interference user included in the TDD system based on the large-scale path loss between the interfered user and each interference user included in the TDD system, the antenna gain of the interfered user, and the antenna gain of each interference user included in the TDD system.

Optionally, for each interfered user, the link loss between the interfered user and other users in the TDD system is calculated separately.

Illustratively, for an interfered user u, for each user i in the TDD system, a link loss LL between the interfered user u and the user i is calculated by the equation seven _ui 。

Wherein PL is _ui Representing large scale path loss between interfered user u and user i, G _u Representing the antenna gain of the interfered user u, G _i Indicating the antenna gain for user i.

LL _ui ＝PL _ui -G _u -G _i Equation seven

S203, determining the target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user.

Optionally, in the process of executing the simulation task, by judging the cell time slot attribute, the interference users of the same physical resource are classified into the cross interference users (i.e. uplink interference users) and the simultaneous time slot interference users (i.e. downlink interference users), and the target air interface performance corresponding to the interfered users can be calculated by using the formula eight.

S204, determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table.

The target signal-to-noise ratio is used for indicating the signal quality of the cross time slot corresponding to the interfered user.

Optionally, after determining the target air interface performance corresponding to the interfered user in the process of executing the simulation task, the target signal-to-noise ratio corresponding to the interfered user may be obtained by querying the air interface performance mapping table.

In the embodiment of the application, under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining the signal-to-noise ratio after detection and the performance of an air interface before detection between an interfered user and an interfered user in a pre-simulation process, and obtaining an air interface performance mapping table comprising a plurality of mapping relations; determining a first link loss between an interfered user and a service cell of the interfered user in a simulation process, determining a second link loss between the interfered user and a plurality of cells, and determining a third link loss between the interfered user and each of the interfered users included in the TDD system; determining the target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user; and further determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table, and indicating the signal quality of the cross time slot corresponding to the interfered user through the signal-to-noise ratio. Through the steps, the target signal-to-noise ratio corresponding to the interfered user can be determined by determining the target air interface performance corresponding to the interfered user and determining the target signal-to-noise ratio corresponding to the interfered user from the air interface performance mapping table comprising a plurality of mapping relations according to the target air interface performance. Therefore, under the condition that the TDD system adopts flexible frame structure configuration and cross time slot interference exists, the signal quality of the cross time slot is determined in advance through simulation, and the efficiency of determining the signal quality of the cross time slot is improved.

In one design, in order to determine the post-detection signal-to-noise ratio and the pre-detection air interface performance between the interfered user and the interfered user in the pre-simulation process, and obtain the air interface performance mapping table, as shown in fig. 5, in the downlink simulation method of the flexible frame structure system provided in the embodiment of the present application, the step in S201 may specifically include the following steps S401 to S403:

s401, determining a signal to noise ratio after detection corresponding to each interfered user and each interfered user based on a channel matrix between the interfered user and a service cell of the interfered user, a detection matrix corresponding to the interfered user, a channel matrix between the interfered user and a strong interference cell, a channel matrix between the interfered user and the strong interference user, link loss between the interfered user and a weak interference cell and link loss between the interfered user and the weak interference user in a pre-simulation process.

The large-scale path loss between the strong interference cell and the serving cell of the interfered user meets a preset condition, and the weak interference cell is a cell except the strong interference cell in a plurality of cells.

Optionally, first, determining X strong interference cells corresponding to each interfered user, and for each interfered user u, calculating a large-scale path loss PL from multiple cells g except for a serving cell of the interfered user u to the interfered user u in the TDD system _ug And corresponding large-scale path loss PL for multiple cells g _ug Sequencing from small to large, and determining the first X large-scale path loss PL _ug The corresponding cell is a strong interference cell of the interfered user u.

Optionally, a channel matrix between the interfered user u and the serving cell of the interfered user u and a channel matrix between the interfered user u and the strong interference cell are also established.

Illustratively, a channel matrix is established for the interfered user u and the serving cell s for the interfered user uChannel matrix of interfered user u and strong interference cell g is respectively establishedWherein Nb is _s And Nb (Nb) _g Representing the corresponding cell (i.e. the garmentThe number of antennas of the serving cell s or the strong interference cell g), np _u Indicating the number of antennas of the interfered user u, H _{u_s} And H _{u_g} Each element of (a) represents the frequency domain channel response between the antennas of the corresponding cell and the antennas of the interfered user u. For the remaining cell g (i.e., the weak interference cell), the link loss L between the interfered user u and the weak interference cell g is calculated _ug ＝PL _ug -G _g -G _u ，PL _ug Representing large-scale path loss, G _g Antenna gain, G, representing weak interference cell G _u Indicating the antenna gain of the interfered user u.

Optionally, R strong interference users corresponding to each interfered user are determined, for example, for the interfered user u, the large-scale path loss PL from other user i to the interfered user u in the TDD system is calculated respectively _ui Large-scale path loss PL from other user i to serving cell g of other user i _ig . For PL _ig /PL _ui And sequencing from large to small, wherein the users corresponding to the first R larger values are determined to be strong interference users of the interfered user u, and the users except the strong interference users in the TDD system are weak interference users.

Further, a channel matrix between the interfered user u and R strong interference users i is establishedWherein Np _u Indicating the number of antennas of the interfered user u, np _i Indicating the number of interference user i antennas, H _u&i Each element of (a) represents the frequency domain channel response between the antennas of interfered user u and user i. For each interfering user, a link loss LL between the interfered user u and user i is calculated _ui ＝PL _ui -G _u -G，PL _ui Representing large-scale path loss, G _u Representing the antenna gain of user u, G _i Indicating the antenna gain for user i.

Optionally, for the interfered user u (e.g. the interfered user 1), in the processing of the same time slot and the cross time slot, the interfered user is classified into a strong interfered user and a weak interfered user, and corresponding parameters of the strong interfered user and the weak interfered user are respectively substituted into the formula two to obtain a formula nine.

For example, the serving cell s of the interfered user 1 is downlink, and when the interfering user i is a downlink strong interfering user, the second part in the ninth formula corresponds to H _{1_g} A channel matrix representing a serving cell g sent by an interfered user 1 and a downlink strong interference user; when the interference user i is an uplink strong interference user, the second part in the formula nine corresponds to H _{1_g} Replaced by H _u&i ，H _u&i Representing the channel matrix between the interfered user u and the interfering user i. The signals output after detection are as follows:

wherein, is recorded asFor downlink interference user i is notedFor uplink interference user i is denoted +>The signal to noise ratio gamma corresponding to the interfered user 1 can be calculated by the following formula eleven and formula twelve _m Wherein LL is _1w Representing the link loss between the interfered user 1 and the interfering user w:

γ _m ＝P ₁ |A _mm | ² /I _m formula twelve

S402, determining corresponding pre-detection air interface performance between the interfered user and each interfered user based on link loss between the interfered user and a service cell of the interfered user, link loss between the interfered user and a plurality of cells, link loss between the interfered user and each interfered user included in the TDD system and transmitting power of each interfered user in the pre-simulation process.

Optionally, the pre-detection air interface performance lambda between the interfered user and each interfered user is calculated through the formula thirteen _m 。

S403, based on the signal-to-noise ratio after detection and the performance of the air interface before detection, an air interface performance mapping table is obtained.

In one design, the air interface performance mapping table is derived based on post-detection signal-to-noise ratio and pre-detection air interface performance. As shown in fig. 6, in the downlink simulation method of the flexible frame structure system provided in the embodiment of the present application, the step in S403 may specifically include the following steps S501 to S502:

s501, constructing a model based on the signal-to-noise ratio after detection and the performance of the air interface before detection, and dividing the performance of the air interface before detection by taking a preset parameter as a step length to obtain a plurality of grids.

Wherein each grid corresponds to an upper limit and a lower limit.

Optionally, before obtaining the corresponding detection air interface performance lambda of each stream data of each interfered user _m And post-detection signal-to-noise ratio gamma _m Thereafter, at lambda _m And rasterizing the dimension, and counting the SNR (signal to noise ratio) after detection corresponding to the grid.

Exemplary, in CIR _q = -20, -19, -18, …,18,19,20 is the pair of division points (v division points) λ _m And (3) rasterizing, wherein the sampling method of the sampling point corresponding to each grid is determined according to a formula fourteen.

S502, determining an average signal-to-noise ratio of at least one detected signal-to-noise ratio corresponding to at least one pre-detection air interface performance in each grid, and determining the average signal-to-noise ratio as a target post-detection signal-to-noise ratio corresponding to each grid to obtain an air interface performance mapping table.

Optionally, further averaging the detected signal-to-noise ratio corresponding to the sampling point of each grid as the target post-detection signal-to-noise ratio SNR of the grid _q ＝mean(γ _m ). And determining an air interface performance mapping curve, i.e. (CIR) _q ,SNR _q )。

In one design, a target signal-to-noise ratio corresponding to an interfered user is determined based on a target air interface performance and an air interface performance mapping table. As shown in fig. 7, in the downlink simulation method of the flexible frame structure system provided in the embodiment of the present application, the step in S204 may specifically include the following steps S601 to S602:

s601, determining a target grid corresponding to the target air interface performance from an air interface performance mapping table, and determining a target upper limit value, a target lower limit value and a signal to noise ratio after target detection corresponding to the target grid.

The target air interface performance is larger than the target lower limit value and smaller than the target upper limit value.

Optionally, determining a target grid corresponding to the target air interface performance CIR from the air interface performance mapping table, and determining a target upper limit value CIR corresponding to the target grid _q+1 Target lower limit CIR _q SNR after target detection _q 。

S602, determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance, the target upper limit value, the target lower limit value and the target post-detection signal-to-noise ratio.

Optionally, based on the target air interface performance, the target upper limit value, the target lower limit value and the signal-to-noise ratio after target detection, the target signal-to-noise ratio corresponding to the interfered user is calculated by the following formula fifteen.

Illustratively, in combination with the above method, as shown in fig. 8, for each user in the TDD system (i.e., an interfered user), a link loss between the interfered user and the serving cell, and between the interfered user and the interfering cell in the TDD system may be first determined; further, link loss between the interfered user and each user in the TDD system is determined, and an interfering user having the same physical resources as the interfered user is determined. Judging whether the uplink time slot of the interference cell is the same as the interfered user, determining the user with the same physical resource as the interfered user in the interference cell as a cross interference user (namely, a strong interference user) when the uplink time slot of the interference cell is the same as the interfered user, and determining the user with the same physical resource as the interfered user in the interference cell as the strong interference user when the uplink time slot of the interference cell is different from the interfered user; further, the target air interface performance corresponding to the interfered user is calculated, the parameter corresponding to the target air interface performance is determined from the air interface performance mapping table, and the target signal-to-noise ratio corresponding to the interfered user is calculated.

The foregoing description of the solution provided in the embodiments of the present application has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

According to the embodiment of the application, the functional modules of the downlink simulation device of the flexible frame structure system can be divided according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiments of the present application is schematic, which is merely a logic function division, and other division manners may be actually implemented.

Fig. 9 is a schematic structural diagram of a downlink simulation device of a flexible frame structure system according to an embodiment of the present application. As shown in fig. 9, a flexible frame structure system downlink simulation apparatus 40 is configured to provide a simulation method for uplink to downlink interference in a TDD system when the TDD system adopts a flexible frame structure configuration, determine signal quality of crossing time slots, and improve efficiency of determining signal quality of crossing time slots, for example, to perform a flexible frame structure system downlink simulation method shown in fig. 2. The flexible frame structure system downlink simulation apparatus 40 includes: a processing unit 401.

A processing unit 401, configured to determine a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfered user in a pre-simulation process under the condition that the time division duplex TDD system is configured to be a flexible frame structure, so as to obtain an air interface performance mapping table; the air interface performance mapping table comprises a plurality of mapping relations, each mapping relation indicates a corresponding relation between a signal-to-noise ratio after detection and an air interface performance before detection, the TDD system comprises a plurality of cells, and each cell comprises a plurality of users;

a processing unit 401, configured to determine a first link loss between an interfered user and a serving cell of the interfered user, determine a second link loss between the interfered user and a plurality of cells, and determine a third link loss between the interfered user and each of the interfering users included in the TDD system in the simulation;

A processing unit 401, configured to determine a target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss, and the transmit power of each interfering user;

the processing unit 401 is configured to determine, based on the target air interface performance and the air interface performance mapping table, a target signal-to-noise ratio corresponding to the interfered user, where the target signal-to-noise ratio is used to indicate a signal quality of a cross slot corresponding to the interfered user.

Optionally, in the downlink simulation device 40 of a flexible frame structure system provided in the embodiment of the present application, the processing unit 401 is configured to determine, in a pre-simulation process, a post-detection signal-to-noise ratio corresponding to each of the interfered user and each of the interfered users based on a channel matrix between the interfered user and a serving cell of the interfered user, a detection matrix corresponding to the interfered user, a channel matrix between the interfered user and a strong interference cell, a channel matrix between the interfered user and the strong interference user, a link loss between the interfered user and a weak interference cell, and a link loss between the interfered user and the weak interference user; the large-scale path loss between the strong interference cell and the service cell of the interfered user meets the preset condition, and the weak interference cell is a cell except the strong interference cell in a plurality of cells;

A processing unit 401, configured to determine, in a pre-simulation process, a pre-detection air interface performance corresponding to between an interfered user and each interfered user based on a link loss between the interfered user and a serving cell of the interfered user, a link loss between the interfered user and a plurality of cells, a link loss between the interfered user and each interfered user included in the TDD system, and a transmit power of each interfered user;

a processing unit 401, configured to obtain an air interface performance mapping table based on the detected signal-to-noise ratio and the detected air interface performance;

optionally, in the downlink simulation device 40 of a flexible frame structure system provided in the embodiment of the present application, the processing unit 401 is configured to construct a model based on a post-detection signal-to-noise ratio and a pre-detection air interface performance, and divide the pre-detection air interface performance with a preset parameter as a step length to obtain a plurality of grids, where each grid corresponds to an upper limit value and a lower limit value;

a processing unit 401, configured to determine an average signal-to-noise ratio of at least one post-detection signal-to-noise ratio corresponding to at least one pre-detection air interface performance in each grid, and determine the average signal-to-noise ratio as a target post-detection signal-to-noise ratio corresponding to each grid, to obtain an air interface performance mapping table;

Optionally, in the downlink simulation device 40 of a flexible frame structure system provided in the embodiment of the present application, the processing unit 401 is configured to determine a first link loss between a interfered user and a serving cell of the interfered user based on a large-scale path loss between the interfered user and the serving cell of the interfered user, an antenna gain of the interfered user, and an antenna gain of the serving cell of the interfered user;

a processing unit 401, configured to determine a second link loss between the interfered user and each of the plurality of cells based on a large-scale path loss between the interfered user and each of the plurality of cells, an antenna gain of the interfered user, and an antenna gain of each of the plurality of cells;

a processing unit 401 is configured to determine a third link loss between the interfered user and each of the interfering users included in the TDD system based on the large-scale path loss between the interfered user and each of the interfering users included in the TDD system, the antenna gain of the interfered user, and the antenna gain of each of the interfering users included in the TDD system.

Optionally, in the downlink simulation device 40 of a flexible frame structure system provided in the embodiment of the present application, the processing unit 401 is configured to determine, from the air interface performance mapping table, a target grid corresponding to the target air interface performance, and determine a target upper limit value, a target lower limit value, and a signal to noise ratio after target detection corresponding to the target grid; the target air interface performance is larger than the target lower limit value and smaller than the target upper limit value;

The processing unit 401 is configured to determine a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance, the target upper limit value, the target lower limit value, and the target post-detection signal-to-noise ratio.

In the case of implementing the functions of the integrated modules in the form of hardware, another possible structural schematic diagram of the electronic device involved in the foregoing embodiment is provided in the embodiments of the present application. As shown in fig. 10, an electronic device 60 is configured to provide a method for simulating uplink to downlink interference in a TDD system when the TDD system is configured in a flexible frame structure, determine signal quality of crossing slots, and improve the efficiency of determining signal quality of crossing slots, for example, to perform a method for simulating downlink in a flexible frame structure system as shown in fig. 2. The electronic device 60 comprises a processor 601, a memory 602 and a bus 603. The processor 601 and the memory 602 may be connected by a bus 603.

The processor 601 is a control center of the communication device, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 601 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.

As one example, processor 601 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 10.

The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

As a possible implementation, the memory 602 may exist separately from the processor 601, and the memory 602 may be connected to the processor 601 through the bus 603 for storing instructions or program codes. When the processor 601 calls and executes the instructions or the program codes stored in the memory 602, the downlink simulation method of the flexible frame structure system provided in the embodiment of the application can be implemented.

In another possible implementation, the memory 602 may also be integrated with the processor 601.

Bus 603 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 10, but not only one bus or one type of bus.

It should be noted that the structure shown in fig. 10 does not constitute a limitation of the electronic device 60. The electronic device 60 may include more or fewer components than shown in fig. 10, or may combine certain components or a different arrangement of components.

As an example, in connection with fig. 9, the processing unit 401 in the electronic device implements the same function as the processor 601 in fig. 10.

Optionally, as shown in fig. 10, the electronic device 60 provided in the embodiment of the present application may further include a communication interface 604.

Communication interface 604 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 604 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

In one design, the electronic device provided in the embodiments of the present application may further include a communication interface integrated into the processor.

From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

The embodiment of the application further provides a computer readable storage medium, in which instructions are stored, and when the computer executes the instructions, the computer executes each step in the method flow shown in the method embodiment.

Embodiments of the present application provide a computer program product comprising instructions which, when executed on a computer, cause the computer to perform a flexible frame structure system downstream simulation method of the above method embodiments.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the electronic device, the computer readable storage medium, and the computer program product in the embodiments of the present application may be applied to the above-mentioned method, the technical effects that can be obtained by the electronic device, the computer readable storage medium, and the computer program product may also refer to the above-mentioned method embodiments, and the embodiments of the present application are not repeated herein.

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.

Claims

1. The downlink simulation method of the flexible frame structure system is characterized by comprising the following steps of:

under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining the detected signal-to-noise ratio and the detected air interface performance between an interfered user and an interfered user in the pre-simulation process, and obtaining an air interface performance mapping table; the air interface performance mapping table comprises a plurality of mapping relations, each mapping relation indicates a corresponding relation between a signal-to-noise ratio after detection and an air interface performance before detection, the TDD system comprises a plurality of cells, and each cell comprises a plurality of users;

determining a first link loss between the interfered user and a serving cell of the interfered user, determining a second link loss between the interfered user and a plurality of cells, and determining a third link loss between the interfered user and each of the interfered users included in the TDD system in a simulation process;

Determining a target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfered user;

determining a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table, wherein the target signal-to-noise ratio is used for indicating the signal quality of a cross time slot corresponding to the interfered user;

the method for determining the signal-to-noise ratio after detection and the performance of the air interface before detection between the interfered user and the interfered user in the pre-simulation process to obtain the air interface performance mapping table comprises the following steps:

determining the corresponding post-detection signal-to-noise ratio between the interfered user and each interfered user based on a channel matrix between the interfered user and a serving cell of the interfered user, a detection matrix corresponding to the interfered user, a channel matrix between the interfered user and a strong interference cell, a channel matrix between the interfered user and the strong interference user, link loss between the interfered user and a weak interference cell, and link loss between the interfered user and the weak interference user in a pre-simulation process; the large-scale path loss between the strong interference cell and the serving cell of the interfered user meets a preset condition, and the weak interference cell is a cell except the strong interference cell in the cells;

Determining the corresponding pre-detection air interface performance between the interfered user and each interfered user based on the link loss between the interfered user and the service cell of the interfered user, the link loss between the interfered user and a plurality of cells, the link loss between the interfered user and each interfered user included in the TDD system and the transmitting power of each interfered user in a pre-simulation process;

and obtaining the air interface performance mapping table based on the detected signal-to-noise ratio and the air interface performance before detection.

2. The method of claim 1, wherein the obtaining the air interface performance mapping table based on the post-detection signal-to-noise ratio and the pre-detection air interface performance comprises:

constructing a model based on the signal-to-noise ratio after detection and the performance of the air interface before detection, and dividing the performance of the air interface before detection by taking a preset parameter as a step length to obtain a plurality of grids, wherein each grid corresponds to an upper limit value and a lower limit value;

and determining an average signal-to-noise ratio of at least one detected signal-to-noise ratio corresponding to at least one pre-detection air interface performance in each grid, and determining the average signal-to-noise ratio as a target post-detection signal-to-noise ratio corresponding to each grid to obtain the air interface performance mapping table.

3. The method according to claim 1 or 2, wherein the determining a first link loss between the interfered user and the serving cell of the interfered user, determining a second link loss between the interfered user and a plurality of cells, and determining a third link loss between the interfered user and each interfering user included in the TDD system in the simulation process comprises:

determining a first link loss between the interfered user and the serving cell of the interfered user based on a large-scale path loss between the interfered user and the serving cell of the interfered user, an antenna gain of the interfered user, and an antenna gain of the serving cell of the interfered user;

determining a second link loss between the interfered user and each of the plurality of cells based on a large-scale path loss between the interfered user and each of the plurality of cells, an antenna gain of the interfered user, an antenna gain of each of the plurality of cells;

a third link loss between the interfered user and each interfering user included in the TDD system is determined based on a large-scale path loss between the interfered user and each interfering user included in the TDD system, an antenna gain of the interfered user, an antenna gain of each interfering user included in the TDD system.

4. The method of claim 2, wherein the determining the target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table comprises:

determining a target grid corresponding to the target air interface performance from the air interface performance mapping table, and determining a target upper limit value, a target lower limit value and a target post-detection signal-to-noise ratio corresponding to the target grid; the target air interface performance is greater than the target lower limit value and less than the target upper limit value;

and determining the target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance, the target upper limit value, the target lower limit value and the target post-detection signal-to-noise ratio.

5. A flexible frame structure system downlink simulation device, comprising: a processing unit;

the processing unit is used for determining the signal-to-noise ratio after detection and the performance of the air interface before detection between the interfered user and the interfered user in the pre-simulation process under the condition that the time division duplex TDD system is configured into a flexible frame structure, so as to obtain an air interface performance mapping table; the air interface performance mapping table comprises a plurality of mapping relations, each mapping relation indicates a corresponding relation between a signal-to-noise ratio after detection and an air interface performance before detection, the TDD system comprises a plurality of cells, and each cell comprises a plurality of users;

The processing unit is configured to determine a first link loss between the interfered user and a serving cell of the interfered user, determine a second link loss between the interfered user and a plurality of cells, and determine a third link loss between the interfered user and each of the interfering users included in the TDD system in a simulation process;

the processing unit is configured to determine a target air interface performance corresponding to the interfered user based on the first link loss, the second link loss, the third link loss, and the transmit power of each interfering user;

the processing unit is configured to determine a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance and the air interface performance mapping table, where the target signal-to-noise ratio is used to indicate signal quality of a cross time slot corresponding to the interfered user;

the processing unit is configured to determine, in a pre-simulation process, a signal-to-noise ratio after detection corresponding to each interfered user and each interfered user based on a channel matrix between the interfered user and a serving cell of the interfered user, a detection matrix corresponding to the interfered user, a channel matrix between the interfered user and a strong interference cell, a channel matrix between the interfered user and the strong interference user, a link loss between the interfered user and a weak interference cell, and a link loss between the interfered user and the weak interference user; the large-scale path loss between the strong interference cell and the serving cell of the interfered user meets a preset condition, and the weak interference cell is a cell except the strong interference cell in the cells;

The processing unit is configured to determine, in a pre-simulation process, the pre-detection air interface performance corresponding to the interfered user and each interfered user based on a link loss between the interfered user and a serving cell of the interfered user, a link loss between the interfered user and a plurality of cells, a link loss between the interfered user and each interfered user included in the TDD system, and a transmit power of each interfered user;

the processing unit is configured to obtain the air interface performance mapping table based on the post-detection signal-to-noise ratio and the pre-detection air interface performance.

6. The downlink simulation device of the flexible frame structure system according to claim 5, wherein the processing unit is configured to construct a model based on the post-detection signal-to-noise ratio and the pre-detection air interface performance, and divide the pre-detection air interface performance with a preset parameter as a step length to obtain a plurality of grids, where each grid corresponds to an upper limit value and a lower limit value;

the processing unit is configured to determine an average signal-to-noise ratio of at least one post-detection signal-to-noise ratio corresponding to at least one pre-detection air interface performance in each grid, and determine the average signal-to-noise ratio as a target post-detection signal-to-noise ratio corresponding to each grid, so as to obtain the air interface performance mapping table.

7. The flexible frame structure system downlink simulation apparatus according to claim 5 or 6, wherein the processing unit is configured to determine a first link loss between the interfered user and the serving cell of the interfered user based on a large-scale path loss between the interfered user and the serving cell of the interfered user, an antenna gain of the interfered user, and an antenna gain of the serving cell of the interfered user;

the processing unit is configured to determine a second link loss between the interfered user and each of the plurality of cells based on a large-scale path loss between the interfered user and each of the plurality of cells, an antenna gain of the interfered user, an antenna gain of each of the plurality of cells;

the processing unit is configured to determine a third link loss between the interfered user and each interfering user included in the TDD system based on a large-scale path loss between the interfered user and each interfering user included in the TDD system, an antenna gain of the interfered user, and an antenna gain of each interfering user included in the TDD system.

8. The downlink simulation device of the flexible frame structure system according to claim 6, wherein the processing unit is configured to determine a target grid corresponding to the target air interface performance from the air interface performance mapping table, and determine a target upper limit value, a target lower limit value, and a post-target signal-to-noise ratio corresponding to the target grid; the target air interface performance is greater than the target lower limit value and less than the target upper limit value;

the processing unit is configured to determine a target signal-to-noise ratio corresponding to the interfered user based on the target air interface performance, the target upper limit value, the target lower limit value, and the target post-detection signal-to-noise ratio.

9. An electronic device, comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the electronic device, cause the electronic device to perform a flexible frame structure system downstream simulation method as claimed in any one of claims 1-4.

10. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computer, cause the computer to perform a flexible frame structure system downstream simulation method as claimed in any one of claims 1-4.