CN115087006A

CN115087006A - Flexible frame structure system downlink simulation method, device and equipment

Info

Publication number: CN115087006A
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: 2022-09-20
Anticipated expiration: 2042-06-20
Also published as: CN115087006B

Abstract

The application discloses a downlink simulation method, a device and equipment of a flexible frame structure system, relating to the technical field of communication and comprising the following steps: under the condition that a Time Division Duplex (TDD) system is configured to be a flexible frame structure, determining the post-detection signal-to-noise ratio and the pre-detection air interface performance between an interfered user and an interfering user in the pre-simulation process to obtain an air interface performance mapping table; determining a first link loss between the 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 interfering user included in the TDD system in a simulation process; determining 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 interfering 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 application 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

In a Time Division Duplex (TDD) system in a mobile communication system, uplink and downlink are allocated to the same frequency spectrum, and occupy different Time periods, respectively. For the change of the Uplink and Downlink switching point of the TDD system, for example, NR millimeter waves define three subframe configuration structures including DSUUU, DDSUU, and DDDSU, where D denotes that a Downlink slot (Downlink slot) refers to a slot for Downlink transmission, U denotes that an Uplink slot (Uplink slot) refers to a slot for Uplink transmission, and S denotes that a Special slot (Special slot) refers to a slot for Downlink transmission or Uplink transmission.

In the method, the configuration of the flexible frame structure can fully embody the flexible adaptive capacity of the TDD system to the wireless resources, but because different cells adopt different frame structures (that is, uplink and downlink switching points of the TDD system are different), the problem of cross timeslot interference between cells is introduced, which easily causes the system capacity to decrease. Therefore, in the case of using the flexible frame structure configuration in the TDD system, there is a problem of cross timeslot interference, which causes a decrease in the capacity of the TDD system and a poor signal quality of the cross timeslot.

Disclosure of Invention

The application provides a method, a device and equipment for simulating downlink of a flexible frame structure system, which are used for providing a method for simulating downlink interference caused by an uplink in the 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 purpose, the technical scheme is as follows:

in a first aspect, a method for downlink simulation of a flexible frame structure system is provided, where the method includes: under the condition that a time division duplex TDD system is configured to be a flexible frame structure, determining a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfering user in a pre-simulation process 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 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 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 interfering user included in the TDD system; determining 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 interfering 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 a possible implementation manner, determining a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfering user in a pre-simulation process to obtain an air interface performance mapping table includes: in the pre-simulation process, based on a channel matrix between a 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 a strong interference user, a link loss between the interfered user and a weak interference cell, and a link loss between the interfered user and a weak interference user, determining a corresponding post-detection signal-to-noise ratio between the interfered user and each interfering user; the large-scale path loss between the strong interference cell and the service cell of the interfered user meets a preset condition, and the weak interference cell is a cell except the strong interference cell in the plurality of cells; determining corresponding pre-detection empty port performance between the interfered user and each interfering 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 interfering user included in a TDD system and transmitting power of each interfering user in a pre-simulation process; and obtaining an air interface performance mapping table based on the signal-to-noise ratio after detection and the air interface performance before detection.

In a possible implementation manner, obtaining the air interface performance mapping table based on the post-detection signal-to-noise ratio and the pre-detection air interface performance includes: 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 the 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 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 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 interfering user included in the TDD system in the simulation process 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, and the antenna gain of each of the plurality of cells; determining a third link loss between the interfered user and each interfering user included in the TDD system based on the large-scale path loss between the interfered user and each interfering user included in the TDD system, the antenna gain of the interfered user, and the antenna gain of each interfering user included in the TDD system.

In a possible implementation manner, determining a target signal-to-noise ratio corresponding to an interfered user based on a target air interface performance and an 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 target signal-to-noise ratio after target detection corresponding to the target grid; the target air interface performance is greater than a target lower limit value and less than a target upper limit value; and 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 detected signal-to-noise ratio.

In a second aspect, a flexible frame structure system downlink simulation apparatus is provided, where the flexible frame structure system downlink simulation apparatus includes: a processing unit; a processing unit, configured to determine a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfering user in a pre-simulation process under the condition that a time division duplex TDD system is configured to have a flexible frame structure, and 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 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, in a simulation process, a first link loss between an interfered user and a serving cell of the interfered user, determine second link losses between the interfered user and a plurality of cells, and determine a third link loss between the interfered user and each interfering user 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 interfering 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 includes: a processor and a memory; wherein the memory is configured to store one or more programs, and the one or more programs include computer executable instructions, and when the electronic device is running, the processor executes the computer executable instructions stored in the memory, so as to enable the electronic device to execute the flexible frame structure system downlink simulation method according to 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 downlink simulation method as in the first aspect.

The application provides a method, a device and equipment for downlink simulation 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 a Time Division Duplex (TDD) system is configured to be a flexible frame structure, determining the post-detection signal-to-noise ratio and the pre-detection air interface performance between an interfered user and an interfering user in the pre-simulation process to obtain an air interface performance mapping table comprising a plurality of mapping relations; determining a first link loss between the interfered user and a service 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; therefore, the target air interface performance corresponding to the interfered user is determined based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfering 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, a 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 a target signal-to-noise ratio corresponding to the interfered user from an air interface performance mapping table comprising a plurality of mapping relations according to the target air interface performance. Therefore, when the TDD system adopts flexible frame structure configuration and the cross time slot interference exists, the efficiency of determining the signal quality of the cross time slot is improved by simulating and predetermining the signal quality of the cross time slot.

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 and downlink interference according to 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 of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;

fig. 6 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. 7 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. 8 is a schematic flowchart illustrating a sixth method for downlink simulation 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 apparatus 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 this application, "/" means "or" unless otherwise stated, for example, A/B may mean A or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" or "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.

In dynamic system simulation, the evaluation of user performance is based on the evaluation of 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 same-frame structure and same-time slot interference, the calculation process of signal detection signal-to-noise ratio is as follows:

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

wherein the content of the first and second substances,

a channel matrix, Nb, representing the interfered user j (e.g. interfered user 1) and a certain cell r _r Indicates the number of antennas of the cell r,

representing the number of antennas of the interfered user j.

A precoding matrix representing user j, where M _j Is the number of streams for user j;

is the normalized vector of the useful signal of user j; p is _j Representing the transmit power of user j. When j is 1, it represents the detected user 1, j is i represents the strong interference user of the MU pairing user and the neighboring cell, and g represents the serving cell of the interference user i. Noise(s)

The elements of which are independently and identically distributed CN (0, sigma) ² )；P _w Is the transmit power of the w-th weakly interfering link (i.e., weakly interfering user); l is _1g Is the link loss (including large scale path loss and antenna gain) from the interfered user 1 to the interfering cell g (the w-th weak interfering user serving cell g).

The receiving end is used for the interfered user 1

For linear detection, zero forcing may be usedDetection ZF, minimum mean square error MMSE, or any other linear detection method. The detected output is

Wherein, the first term in the formula two is the received signal of the detected user, which contains the useful signal and the inter-stream interference; the second item represents the interference of other users in the MU pairing user group and the interference brought by strong interference users in the adjacent area; the third term represents noise; the fourth term represents interference for a weakly interfering user.

Further, remember

Obtaining:

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 W, the mth row of W, so the signal-to-noise ratio of the mth stream signal is:

wherein A is _mj 、B _im,j 、D _mj Representation A, B _i Row m and column j of D.

The TDD system of the mobile communication system allocates the uplink and downlink to the same frequency spectrum, the uplink and downlink occupy different time periods respectively, and the TDD system can fully use wireless resources by allocating different uplink and downlink in different time slots to adapt to the asymmetric characteristics of different services. Due to the fact that the penetration performance of the millimeter wave frequency band is poor, different cells can adopt different frame structure configurations under the environment with good isolation, and therefore the cells can judge the self-adaptive frame structure configuration according to conditions such as uplink and downlink service volume of the coverage area of the cells, and the uplink and downlink bandwidth of the frame structure configuration meets the service volume requirements. The configuration of the flexible frame structure can fully embody the flexible adaptive capacity of the TDD system to the wireless resources, but the problem of cross slot interference is introduced due to different frame structures adopted by different cells, which easily causes the system capacity to decrease. In order to verify whether a flexible frame structure configuration mode is adopted by different cells to bring throughput gain or not, the application provides an analysis method for dynamic system simulation evaluation before networking. The method for simulating the dynamic system of the flexible frame structure system is greatly different from the method for simulating the dynamic system of the same frame structure system in terms of flow, and is mainly reflected in that the method for detecting, simulating and evaluating the signals of the cross time slot interference and the simultaneous time slot interference is greatly different, so that the application provides a downlink simulation method of the flexible frame structure system based on the air interface performance mapping.

The downlink simulation method for the flexible frame structure system provided by the embodiment of the application can be suitable for the downlink simulation system of the flexible frame structure system. Fig. 1 shows a schematic structural diagram of the downlink simulation system of the flexible frame structure system. As shown in fig. 1, the flexible frame structure system downlink simulation system 20 includes: interfered user 21, interfering user 22, interfered cell 23, and interfering cell 24. The interfered user 21, the interfering user 22, the interfered cell 23, and the interfering cell 24 are connected, and the interfered user 21, the interfering user 22, the interfered cell 23, and the interfering cell 24 may be connected in a wired manner or in a wireless manner, which is not limited in the embodiment of the present application.

The flexible frame structure system downlink simulation system 20 may be used for the internet of things, and may include hardware such as a plurality of Central Processing Units (CPUs), a plurality of memories, and a storage device storing a plurality of operating systems.

The interfered user 21 is a user within the interfered cell 23, and the interfering user 22 is a user within the interfering cell 24. The interfered cell 23 is used for providing network traffic service for the interfered user 21, and the interfering cell 24 is used for providing network traffic service for the interfering user 22.

It should be noted that the interfered user 21, the interfering user 22, the interfered cell 23, and the interfering cell 24 may be independent devices or may be integrated in the same device, and this is not specifically limited in this application.

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

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

A downlink simulation method of a flexible frame structure system provided in the embodiments of the present application is described below with reference to the accompanying drawings.

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

s201, under the condition that a time division duplex TDD system is configured to be a flexible frame structure, determining a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfering user in a pre-simulation process, and obtaining an air interface performance mapping table.

The TDD system comprises a plurality of cells, and each cell comprises a plurality of users.

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

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

It should be noted that the air interface performance mapping table is used as a common table, and when the simulation task is executed for multiple times according to the simulation requirement, the air interface performance mapping table can be reused, that is, the pre-simulation is executed only once at the initial stage, and the simulation stage task can be executed for multiple times according to the simulation requirement subsequently without performing the pre-simulation calculation on the air interface performance mapping table again.

Optionally, the pre-simulation stage may adopt downlink simulation of a system with the same frame structure, or adopt simulation of a system with a flexible frame structure, 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 downlink simulation is adopted, 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 downlink simulation is adopted, all uplink cross time slot strong interference users of each interfered user are taken as analysis data.

Data source 3: and when the flexible frame structure system downlink simulation is adopted in the pre-simulation stage, 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 takes the data source 3 as an example for illustration.

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

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

S202, determining a first link loss between the interfered user and a serving 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 interfering user included in the TDD system.

In a design, in order 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 interfering user included in the TDD system in a simulation process, as shown in fig. 4, in a flexible frame structure system downlink simulation method provided in an embodiment of the present application, the step in S202 may specifically include the following 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.

Optionally, for each interfered user (e.g. interfered user 1), calculating a first link loss L between the interfered user 1 and the serving cell s of the interfered user by formula six _1s 。

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

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

Exemplarily, the interfered user u is taken as an example for explanation: for each cell g in a plurality of cells included in the TDD system, calculating a link loss L between an interfered user u and the cell g by a formula VI _ug 。

L _ug ＝PL _ug -G _g -G _u Formula six

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

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

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

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

LL _ui ＝PL _ui -G _u -G _i Formula 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 interfering user.

Optionally, in the process of executing the simulation task, through the judgment of the cell time slot attribute, the interfering users with the same physical resource are divided into a cross interfering user (i.e., an uplink interfering user) and a simultaneous time slot interfering user (i.e., a downlink interfering user), and a target air interface performance corresponding to the interfered user may be calculated by using a formula eight.

And 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, in the process of executing the simulation task, after determining the target air interface performance corresponding to the interfered user, 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 a Time Division Duplex (TDD) system is configured to be a flexible frame structure, the post-detection signal-to-noise ratio and the pre-detection air interface performance between an interfered user and an interfering user are determined in the pre-simulation process, and an air interface performance mapping table comprising a plurality of mapping relations is obtained; determining a first link loss between the interfered user and a service 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; therefore, the target air interface performance corresponding to the interfered user is determined based on the first link loss, the second link loss, the third link loss and the transmitting power of each interfering 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, a 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 a target signal-to-noise ratio corresponding to the interfered user from an air interface performance mapping table comprising a plurality of mapping relations according to the target air interface performance. Therefore, when the TDD system adopts flexible frame structure configuration and the cross time slot interference exists, the efficiency of determining the signal quality of the cross time slot is improved by simulating and predetermining the signal quality of the cross time slot.

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

s401, in the pre-simulation process, based on a channel matrix between a 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 a strong interference user, a link loss between the interfered user and a weak interference cell, and a link loss between the interfered user and a weak interference user, a corresponding post-detection signal-to-noise ratio between the interfered user and each interfering user is determined.

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

Optionally, first, X strong interference cells corresponding to each interfered user need to be determined, and for each interfered user u, large-scale path loss PL from a plurality of cells g in the TDD system except for the serving cell of the interfered user u to the interfered user u is calculated respectively _ug And large scale path loss PL corresponding to a plurality of cells g _ug Sorting from small to large to determine the first X large-scale path losses 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 need to be established.

Illustratively, for a serving cell s of an interfered user u, a channel matrix of the interfered user u and the serving cell s is established

And respectivelyEstablishing channel matrix of interfered user u and strong interference cell g

Wherein Nb _s And Nb _g Indicates the number of antennas, Np, of the corresponding cell (i.e. serving cell s or strong interfering cell g) _u Indicates the number of antennas, H, of the interfered user u _{u_s} And H _{u_g} Each element in (a) represents the frequency domain channel response between the antenna of the corresponding cell and the antenna of the interfered user u. For the remaining cells g (i.e., the weak interfering cells), the link loss L between the interfered user u and the weak interfering cell g is calculated _ug ＝PL _ug -G _g -G _u ，PL _ug Represents the large scale path loss, G _g Antenna gain, G, representing weak interfering cell G _u Representing the antenna gain of the interfered user u.

Optionally, R strong interfering users corresponding to each interfered user are determined, for example, for the interfered user u, large-scale path loss PL from other users i to the interfered user u in the TDD system is respectively calculated _ui And 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 large values are determined as 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 established

Wherein Np _u Number of antennas, Np, representing interfered user u _i Indicating the number of interfering users i antennas, H _u&i Each element in (a) represents the frequency domain channel response between two of the antenna of interfered user u and the antenna of user i. For each interfering user, calculating the link loss LL between the interfered user u and the user i _ui ＝PL _ui -G _u -G，PL _ui Represents the large scale path loss, G _u Representing the antenna gain, G, of user u _i Representing the antenna gain for user i.

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

Illustratively, the serving cell s of the interfered user 1 is a downlink, and when the interfering user i is a strong downlink interfering user, the second part in the formula nine corresponds to H _{1_g} Representing the channel matrix of the service cell g sent by the interfered user 1 and the downlink strong interference user; when the interference user i is an uplink strong interference user, the second part in the formula ninth corresponds to H _{1_g} Is 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:

therein, it is recorded as

Notation is given to downlink interference user i

Notation is given to uplink interference user i

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 Represents the link loss between interfered user 1 and interfering user w:

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

S402, in the pre-simulation process, 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 interfering user included in the TDD system, and the transmission power of each interfering user, determining the corresponding pre-detection air interface performance between the interfered user and each interfering user.

Optionally, the corresponding pre-detection air interface performance λ between the interfered user and each interfering user needs to be calculated by formula thirteen _m 。

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

In one design, an air interface performance mapping table is obtained based on a post-detection signal-to-noise ratio and a pre-detection air interface performance. As shown in fig. 6, in the flexible frame structure system downlink simulation method 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 value and a lower limit value.

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

Exemplary, with CIR _q ＝-20,-19,-18,…,18,1920 is a pair of division points (v division points) < lambda > _m And rasterizing is carried out, and the sampling method of the sampling point corresponding to each grid is determined according to a fourteen formula.

S502, determining 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 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, the average value of the post-detection SNR corresponding to the sampling point of each grid is further taken as the post-target-detection SNR of the grid _q ＝mean(γ _m ). And determining an air interface performance mapping curve, i.e., (CIR), from the air interface performance and the signal-to-noise ratio after target detection _q ,SNR _q )。

In one design, a target snr 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 flexible frame structure system downlink simulation method 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 target signal-to-noise ratio after target detection corresponding to the target grid.

And the target air interface performance is greater than the target lower limit value and less than the target upper limit value.

Optionally, a target grid corresponding to the target air interface performance CIR is determined from the air interface performance mapping table, and a target upper limit value CIR corresponding to the target grid is determined _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 detected signal-to-noise ratio.

Optionally, 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, the target signal-to-noise ratio corresponding to the interfered user is calculated by the following formula fifteen.

For example, in conjunction with the above method, as shown in fig. 8, for each user (i.e., interfered user) in the TDD system, the link loss between the interfered user and the serving cell and the link loss 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 resource as the interfered user is determined. Therefore, whether the uplink time slot of the interference cell is the same as that of the interfered user is judged, when the uplink time slot of the interference cell is the same as that of the interfered user, a user in the interference cell, which has the same physical resource with the interfered user, is determined as a cross interference user (namely, a strong interference user), and when the uplink time slot of the interference cell is different from that of the interfered user, a user in the interference cell, which has the same physical resource with the interfered user, is determined as a strong interference user; further, a target air interface performance corresponding to the interfered user is calculated, a parameter corresponding to the target air interface performance is determined from an air interface performance mapping table, and a target signal-to-noise ratio corresponding to the interfered user is calculated.

The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives 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.

In the embodiment of the present application, functional modules of a flexible frame structure system downlink simulation apparatus may be divided according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 9 is a schematic structural diagram of a downlink simulation apparatus 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 used 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 a cross timeslot, and improve efficiency of determining the signal quality of the cross timeslot, for example, to implement the 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, in a pre-simulation process, a post-detection signal-to-noise ratio and a pre-detection air interface performance between an interfered user and an interfering user, to obtain an air interface performance mapping table, when the TDD system is configured to have a flexible frame structure; 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 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, in a simulation process, a first link loss between an interfered user and a serving cell of the interfered user, determine second link losses between the interfered user and multiple cells, and determine a third link loss between the interfered user and each interfering user included in the TDD system;

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

a processing unit 401, 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 timeslot corresponding to the interfered user.

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

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

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

optionally, in the downlink simulation apparatus 40 of the flexible frame structure system provided in this 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 partition the pre-detection air interface performance by using 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 apparatus 40 for 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 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;

a processing unit 401, configured to determine 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;

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

Optionally, in the downlink simulation apparatus 40 for a flexible frame structure system provided in the embodiment of the present application, the processing unit 401 is configured to determine, from an air interface performance mapping table, a target grid corresponding to a 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 greater than a target lower limit value and less than a 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, the target lower limit, 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, the embodiments of the present application provide another possible structural schematic diagram of the electronic device related to the above embodiments. As shown in fig. 10, an electronic device 60 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 a cross timeslot, and improve efficiency of determining the signal quality of the cross timeslot, for example, to implement a downlink simulation method of the flexible frame structure system shown in fig. 2. The electronic device 60 includes 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 apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 601 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.

For one embodiment, 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 may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium 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 be present separately from the processor 601, and the memory 602 may be connected to the processor 601 via a bus 603 for storing instructions or program code. When the processor 601 calls and executes the instructions or program codes stored in the memory 602, the method for simulating the downlink of the flexible frame structure system provided by the embodiment of the present application can be implemented.

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

The bus 603 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 10, but this is not intended to represent only one bus or type of bus.

It is to be noted that the structure shown in fig. 10 does not constitute a limitation of the electronic apparatus 60. In addition to the components shown in FIG. 10, the electronic device 60 may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.

As an example, in connection with fig. 9, the functions implemented by the processing unit 401 in the electronic device are the same as the functions of 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.

A communication interface 604 for connecting with other devices via a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 604 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

In one design, in the electronic device provided in the embodiment of the present application, the communication interface may be further integrated in the processor.

Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.

Embodiments of the present application provide a computer program product containing instructions, which when executed on a computer, cause the computer to execute a flexible frame structure system downlink simulation method in 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 any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate 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. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments 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 method described above, for technical effects that can be obtained by the method, reference may also be made to the method embodiments described above, and details of the embodiments of the present application are not repeated herein.

The above is only an embodiment of the present application, but the 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 by the scope of the present application.

Claims

1. A downlink simulation method for a flexible frame structure system is characterized by comprising the following steps:

under the condition that a Time Division Duplex (TDD) system is configured to be a flexible frame structure, determining the post-detection signal-to-noise ratio and the pre-detection air interface performance between an interfered user and an interfering user in the pre-simulation process 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 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 interfering user 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 interfering 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.

2. The method according to claim 1, wherein the determining a post-detection signal-to-noise ratio and a pre-detection air interface performance between the interfered user and the interfering user in the pre-simulation process to obtain an air interface performance mapping table comprises:

determining the corresponding detected signal-to-noise ratio between the interfered user and each interfering 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 a strong interference user, a link loss between the interfered user and a weak interference cell, and a link loss between the interfered user and a 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 a preset condition, and the weak interference cell is a cell except the strong interference cell in the plurality of cells;

determining the corresponding pre-detection air interface performance between the interfered user and each interfering user based on the link loss between the interfered user and the serving 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 interfering user included in the TDD system, and the transmission power of each interfering user in a pre-simulation process;

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

3. The method according to claim 2, 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 post-detection signal-to-noise ratio and the pre-detection air interface performance, and dividing the pre-detection 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 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 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.

4. The method according to any of claims 1-3, wherein said 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 interfering user comprised in the TDD system in a simulation procedure comprises:

determining a first link loss between the 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;

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;

determining a third link loss between the interfered user and each interfering user comprised by the TDD system based on a large-scale path loss between the interfered user and each interfering user comprised by the TDD system, an antenna gain of the interfered user, and an antenna gain of each interfering user comprised by the TDD system.

5. The method according to claim 3, wherein the 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 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 signal-to-noise ratio after target detection 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 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.

6. A downlink simulation device for a flexible frame structure system is characterized by comprising: a processing unit;

the processing unit is used for determining the post-detection signal-to-noise ratio and the pre-detection air interface performance between the interfered user and the interfering user in the pre-simulation process under the condition that the time division duplex TDD system is configured to be a flexible frame structure, 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 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, in a simulation process, a first link loss between the interfered user and a serving cell of the interfered user, determine second link losses between the interfered user and a plurality of cells, and determine a third link loss between the interfered user and each interfering user included in the TDD system;

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;

and 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 timeslot corresponding to the interfered user.

7. The downlink simulation apparatus of claim 6, wherein the processing unit is configured to determine the post-detection snr corresponding to the interfered user and each interfering user in a pre-simulation process based on a channel matrix between serving cells of the interfered user and the interfered user, a detection matrix corresponding to the interfered user, a channel matrix between the interfered user and a strong interfering cell, a channel matrix between the interfered user and a strong interfering user, a link loss between the interfered user and a weak interfering cell, and a link loss between the interfered user and a weak interfering user; the large-scale path loss between the strong interference cell and the service cell of the interfered user meets a preset condition, and the weak interference cell is a cell except the strong interference cell in the plurality of cells;

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

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

8. The downlink simulation apparatus according to claim 7, wherein the processing unit is configured to construct a model based on the post-detection snr and the pre-detection air interface performance, and partition the pre-detection air interface performance by using a preset parameter as a step length to obtain a plurality of grids, where each grid corresponds to an upper limit and a lower limit;

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.

9. The flexible frame structure system downlink simulation apparatus according to any one of claims 6 to 8, 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, and 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.

10. The downlink simulation apparatus according to claim 8, 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 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 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.

11. 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 including computer executable instructions, which when executed by the electronic device, cause the electronic device to perform a flexible frame structure system downlink simulation method of any of claims 1-5.

12. 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 downlink simulation method of any of claims 1-5.