CN115134839B - Flexible frame structure system downlink simulation method, device and equipment - Google Patents

Flexible frame structure system downlink simulation method, device and equipment Download PDF

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CN115134839B
CN115134839B CN202210698302.5A CN202210698302A CN115134839B CN 115134839 B CN115134839 B CN 115134839B CN 202210698302 A CN202210698302 A CN 202210698302A CN 115134839 B CN115134839 B CN 115134839B
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interference
user
interfered
determining
interfered user
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CN115134839A (en
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曹艳霞
王金石
李福昌
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames

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Abstract

The application discloses a downlink simulation method, device and equipment of a flexible frame structure system, relates to the technical field of communication, and is used for improving the efficiency of determining the signal quality of a cross time slot. Comprising the following steps: in the case that the time division duplex TDD system is configured as a flexible frame structure, determining a first channel matrix between an interfered user and a serving cell and a second channel matrix between the interfered user and a plurality of strong interference cells; determining a first link loss between the interfered user and each uplink interfering user, and determining a second link loss between the interfered user and other cells; determining a target interference elimination factor corresponding to an interfered user from an interference elimination factor library; a signal-to-noise ratio is determined that is indicative of signal quality of the crossing time slot corresponding to the interfered user based on the target interference cancellation factor, the first channel matrix, the second channel matrix, the first link loss, the second link loss. 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 interference parameters between an interfered user and an interference user to obtain an interference elimination factor library; the interference cancellation factor library includes a plurality of interference parameters, each interference parameter being an interference parameter between one interfered user and one interfering user, each interference parameter comprising: the TDD system comprises a plurality of cells, wherein each cell comprises a plurality of users; determining a first channel matrix between the interfered user and a serving cell of the interfered user, and a second channel matrix between the interfered user and a plurality of strong interference cells; the large-scale path loss between the multiple strong interference cells and the serving cell of the interfered user meets the preset condition; determining a first link loss between the interfered user and each uplink interference user, and determining a second link loss between the interfered user and other cells, wherein the other cells are cells except a serving cell of the interfered user and a plurality of strong interference cells in a plurality of cells; determining a target interference elimination factor corresponding to an interfered user from an interference elimination factor library; and determining a signal-to-noise ratio corresponding to the interfered user based on the target interference cancellation factor, the first channel matrix, the second channel matrix, the first link loss and the second link loss, wherein the 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, determining an interference parameter between an interfered user and an interfering user, to obtain an interference cancellation factor library, includes: determining a plurality of interference cancellation factors corresponding to the interfered users and each interfered user based on a channel matrix between the interfered users and the interfered users, a precoding matrix of the interfered users and a detection matrix corresponding to the interfered users; determining a plurality of corresponding interference intensities between the interfered user and each of the interfered users based on a channel matrix between the interfered user and the interfered user; determining a plurality of corresponding interference included angles between the interfered user and each interfered user based on the position of the interfered user, the position of the interfered cell and the position of the interfered cell, wherein the interfered cell is a serving cell of the interfered user, and the interfered cell is a serving cell of the interfered user; and determining a plurality of interference parameters corresponding to the interfered users and each interference user based on the interference cancellation factors, the interference intensities and the interference included angles to obtain an interference cancellation factor library.
In one possible implementation, determining a corresponding plurality of interference parameters between the interfered user and each of the interfered users based on the plurality of interference cancellation factors, the plurality of interference intensities, and the plurality of interference angles, to obtain an interference cancellation factor library, includes: dividing a plurality of interference included angles by taking a preset interference angle as a step length, and determining a plurality of angle intervals, wherein each angle interval corresponds to at least one interference included angle; dividing a plurality of interference intensities by taking preset interference intensities as step sizes, and determining a plurality of intensity intervals, wherein each intensity interval corresponds to at least one interference intensity; constructing a two-dimensional model comprising a plurality of grids based on the interference included angle and the interference intensity, determining the maximum interference included angle corresponding to each grid as the interference included angle of each grid, and determining the maximum interference intensity corresponding to each grid as the interference intensity of each grid; an angle interval and an intensity interval correspond to a grid; determining an average interference cancellation factor corresponding to at least one interference cancellation factor in each grid, and determining the average interference cancellation factor as the interference cancellation factor of each grid; and determining a plurality of interference parameters based on the interference included angle of each grid, the interference intensity of each grid and the interference cancellation factor of each grid to obtain an interference cancellation factor library.
In one possible implementation, before determining the first channel matrix between the interfered user and the serving cell of the interfered user and the second channel matrix between the interfered user and the plurality of strong interference cells, the method further includes: determining a large-scale path loss between each cell of the plurality of cells and the interfered user; determining the minimum n large-scale path loss from a plurality of large-scale path loss corresponding to a plurality of cells, wherein n is a positive integer; and determining n cells corresponding to the minimum n large-scale path losses as a plurality of strong interference cells.
In one possible implementation, determining a first channel matrix between an interfered user and a serving cell of the interfered user, and a second channel matrix between the interfered user and a plurality of strong interference cells includes: determining a first channel matrix between the interfered user and the serving cell of the interfered user based on the number of antennas of the interfered user and the number of antennas of the serving cell of the interfered user; a second channel matrix between the interfered user and each strong interference cell is determined based on the number of antennas of the interfered user and the number of antennas of each strong interference cell.
In one possible implementation, determining a target interference cancellation factor corresponding to the interfered user from the interference cancellation factor library includes: determining a target interference included angle between the interfered user and each uplink interference user, and determining target interference intensity between the interfered user and each uplink interference user; and determining a target interference elimination factor corresponding to the interfered user from an interference elimination factor library based on the target interference included angle and the target interference intensity.
In one possible implementation, determining a first link loss between the interfered user and each uplink interfering user and determining a second link loss between the interfered user and other cells includes: determining a first link loss between an interfered user and each uplink interference user based on a large-scale path loss between the interfered user and each uplink interference user, an antenna gain of the interfered user, and an antenna gain of each uplink interference user; the second link loss between the interfered user and the other cell is determined based on the large-scale path loss between the interfered user and the other cell, the antenna gain of the interfered user, and the antenna gain of the other cell.
In one possible implementation manner, determining a target interference cancellation factor corresponding to the interfered user from the interference cancellation factor library based on the target interference included angle and the target interference intensity includes: searching a plurality of interference included angles which are smaller than or equal to the target interference included angle from an interference elimination factor library, and determining the maximum interference included angle from the plurality of interference included angles; searching a plurality of interference intensities smaller than or equal to the target interference intensity from an interference elimination factor library, and determining the maximum interference intensity from the plurality of interference intensities; and searching an interference elimination factor corresponding to the maximum interference included angle and the maximum interference intensity from an interference elimination factor library, and determining the interference elimination factor as a target interference elimination factor corresponding to the interfered user.
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 interference parameters between an interfered user and an interference user under the condition that the time division duplex TDD system is configured into a flexible frame structure, so as to obtain an interference elimination factor library; the interference cancellation factor library includes a plurality of interference parameters, each interference parameter being an interference parameter between one interfered user and one interfering user, each interference parameter comprising: the TDD system comprises a plurality of cells, wherein each cell comprises a plurality of users; a processing unit, configured to determine a first channel matrix between the interfered user and a serving cell of the interfered user, and a second channel matrix between the interfered user and a plurality of strong interference cells; the large-scale path loss between the multiple strong interference cells and the serving cell of the interfered user meets the preset condition; a processing unit, configured to determine a first link loss between the interfered user and each uplink interference user, and determine a second link loss between the interfered user and other cells, where the other cells are cells of the multiple cells except for a serving cell of the interfered user and multiple strong interference cells; the processing unit is used for determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library; and the processing unit is used for determining the signal-to-noise ratio corresponding to the interfered user based on the target interference elimination factor, the first channel matrix, the second channel matrix, the first link loss and the second link loss, wherein the 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 an interference elimination factor, an interference intensity and an interference included angle between each interfered user and the corresponding interference user to form interference parameters, and obtaining an interference elimination factor library comprising a plurality of interference parameters; further, determining a first channel matrix between the interfered user and the serving cell, determining a second channel matrix between the interfered user and the plurality of strong interference cells, determining a first link loss between the interfered user and each uplink interference user, and determining a second link loss between the interfered user and other cells; and determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library. Finally, based on the target interference elimination factor, the first channel matrix, the second channel matrix, the first link loss and the second link loss, the signal to noise ratio corresponding to the interfered user is determined, and the signal quality of the cross time slot corresponding to the interfered user is indicated through the signal to noise ratio. Through the steps, a target interference cancellation factor corresponding to the interfered user can be determined through the determined interference cancellation factor library comprising a plurality of interference parameters, so as to further determine the signal-to-noise ratio corresponding to the interfered user. 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 flow chart diagram of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;
fig. 10 is a schematic flow diagram eight of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;
Fig. 11 is a flowchart of a downlink simulation method of a flexible frame structure system according to an embodiment of the present application;
fig. 12 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. 13 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 (subscript 1 in formula one indicates a useful signal) as an example, a signal model that a downlink signal reaches a receiving end of an end user is:
wherein,channel matrix, nb, representing interfered user j (e.g., interfered user 1) and a certain cell r r Indicating the number of antennas in cell r, np j 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; 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 simultaneous time slot interference is very different, so the application provides a downlink simulation method of the flexible frame structure system.
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-S205:
S201, under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining interference parameters between interfered users and the interference users to obtain an interference elimination factor library.
Wherein the interference cancellation factor library comprises a plurality of interference parameters, each interference parameter being an interference parameter between an interfered user and an interfering user, each interference parameter comprising: interference cancellation factor, interference strength, interference angle, a TDD system includes a plurality of cells, each cell including 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 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 interference cancellation factor library, so that when the simulation stage is executed, an interference cancellation factor corresponding to a cross interference user is obtained through the interference cancellation factor library, and thus a signal to noise ratio of the interfered user is calculated.
It should be noted that, when the interference cancellation factor library is used as a public library and the simulation task is executed for multiple times according to the simulation requirement, the interference cancellation factor library 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 to calculate the interference cancellation factor library.
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 a first channel matrix between the interfered user and a serving cell of the interfered user, and a second channel matrix between the interfered user and a plurality of strong interference cells.
The large-scale path loss between the multiple strong interference cells and the serving cell of the interfered user meets the preset condition.
Optionally, a plurality of strong interference cells corresponding to the interfered users need to be predetermined, and for a specific method for determining the strong interference cells, reference may be made to the descriptions in the following steps 901 to 903.
In one design, in order to determine a first channel matrix between an interfered user and a serving cell and a second channel matrix between an interfered user and a plurality of strong interference cells, as shown in fig. 4, in a downlink simulation method of a flexible frame structure system provided in an embodiment of the present application, the step in S202 may specifically include the following steps S301 to S302:
S301, determining a first channel matrix between the interfered user and the serving cell of the interfered user based on the number of antennas of the interfered user and the number of antennas of the serving cell of the interfered user.
Optionally, for the serving cell s of the interfered user u, a first channel matrix of the interfered user u and the serving cell s is established
S302, determining a second channel matrix between the interfered user and each strong interference cell based on the number of antennas of the interfered user and the number of antennas of each strong interference cell.
Optionally, for the interfered user uEach strong interference cell g needs to establish a second channel matrix of the user u and the interference cell g respectivelyWherein Nb is s And Nb (Nb) g Indicating the number of antennas of the corresponding cell (i.e. serving cell s or strong interference cell g), np u Indicating the number of antennas of user u, H u_s And H u_g Which represents the frequency domain channel response between the antennas of the corresponding cell and the antennas of user u.
S203, determining a first link loss between the interfered user and each uplink interference user, and determining a second link loss between the interfered user and other cells.
Wherein the other cells are cells other than the serving cell and the strong interference cells among the cells.
Optionally, the users in the multiple strong interference cells corresponding to the interfered users may be determined as strong interference users, and the interference users may be divided into uplink interference users and downlink interference users according to uplink data or downlink data of each strong interference user.
In one design, in order to determine a first link loss between the interfered user and each uplink interfering user and determine a second link loss between the interfered user and other cells, 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 S203 may specifically include the following steps S401 to S402:
s401, determining a first link loss between an interfered user and each uplink interference user based on a large-scale path loss between the interfered user and each uplink interference user, an antenna gain of the interfered user and an antenna gain of each uplink interference user.
Alternatively, in performing the simulation phase, a first link loss between the interfered user and each of the uplink interfering users may be calculated. For each interfered user, a first link loss between the interfered user and each uplink interfering user is calculated separately.
For interfered user u, a first link loss LL between users is calculated for each uplink interfering user i ui ＝PL ui -G u -G, wherein PL ui Representing the large-scale path loss between user u and user i, G u Representing the antenna gain of user u, G i Indicating the antenna gain for user i.
S402, determining a second link loss between the interfered user and the other cell based on the large-scale path loss between the interfered user and the other cell, the antenna gain of the interfered user, and the antenna gain of the other cell.
Optionally, during the simulation phase, the second link loss between the interfered user and other users in the TDD system (i.e., all users except the interfered user in the TDD system, including the interfering user and the non-interfering user) may also be calculated. For each interfered user, a second link loss between the interfered user and the other users is calculated separately.
Alternatively, for a TDD system including other cells g than the serving cell s or the strong interference cell g among the cells, the link loss L between the interfered user u and the other cells g may be calculated ug ＝PL ug -G g -G u ，PL ug Representing large-scale path loss, G g The antenna gain of cell G, G u Indicating the antenna gain for user u.
S204, determining a target interference elimination factor corresponding to the interfered user from an interference elimination factor library.
In one design, in order to determine a target interference cancellation factor corresponding to an interfered user from an interference cancellation factor library, as shown in fig. 6, in a downlink simulation method of a flexible frame structure system provided in an embodiment of the present application, the step in S204 may specifically include the following steps S501 to S502:
s501, determining a target interference included angle between the interfered user and each uplink interference user, and determining a target interference strength between the interfered user and each uplink interference user.
Optionally, in the execution of the simulation phase,the interference cancellation factor of the cross interference user is calculated, specifically, the relative interference included angle between the interfered user and each uplink interference user k is calculated(i.e., the target interference angle).
Exemplary, as shown in connection with FIG. 3, the relative interference angle between the interfered user and the uplink interfering user k for the cross slotThe horizontal plane position of the interfered user can be marked as a U point, the horizontal plane position point of the uplink interference user k is marked as an E point, the horizontal plane position point of the service cell of the interfered user is marked as an S (taking the position point of the base station of the service cell as an example), the US line is used as 0 degree to point, the clockwise direction is used as the forward direction, and the included angle alpha between the UE and the US is recorded i Then pass alpha using equation six i Calculate->
Optionally, a target interference strength Pi between the interfered user and each uplink interfering user k is also calculated k ＝P k /LL uk ，P k Indicating the transmit power, LL, of uplink interfering user k ui Indicating the link loss between the interfered user u and the uplink interfering user k.
S502, determining a target interference elimination factor corresponding to the interfered user from an interference elimination factor library based on the target interference included angle and the target interference intensity.
Optionally, based on the calculated target interference included angle and the target interference intensity, an interference cancellation factor corresponding to the target interference included angle and the target interference intensity can be searched from an interference cancellation factor library and used as a target interference cancellation factor corresponding to the interfered user.
It should be noted that, in the embodiment of the present application, the interference cancellation factor library is a two-dimensional interference cancellation factor library, that is, an interference cancellation factor library based on an interference included angle and an interference intensity.
In one design, in order to determine a target interference cancellation factor corresponding to an interfered user from an interference cancellation factor library based on a target interference included angle and a target interference intensity, as shown in fig. 7, in the downlink simulation method of a flexible frame structure system provided in the embodiment of the present application, the step in S502 may specifically include the following steps S601 to S603:
S601, searching a plurality of interference included angles which are smaller than or equal to the target interference included angle from an interference elimination factor library, and determining the maximum interference included angle from the plurality of interference included angles.
Alternatively, according toSearching for the interference cancellation factor library obtained from the pre-simulation stage to satisfy + ->Multiple delta of conditions q In (2) determining a maximum delta q 。
S602, searching a plurality of interference intensities which are smaller than or equal to the target interference intensity from an interference elimination factor library, and determining the maximum interference intensity from the plurality of interference intensities.
Alternatively, according to Pi k Searching for Pb from interference elimination factor library obtained in pre-simulation stage q ≤Pi k Multiple Pb of the condition q In (2) determining the maximum Pb q 。
S603, searching an interference elimination factor corresponding to the maximum interference included angle and the maximum interference intensity from an interference elimination factor library, and determining the interference elimination factor as a target interference elimination factor corresponding to the interfered user.
Optionally, according to the determined maximum delta q And maximum Pb q Determining the corresponding mu q As the interference cancellation factor corresponding to the cross interference user k, it is denoted as eta k ＝μ q . I.e. byAnd Pi k Looking up a table in an interference elimination factor library to obtain an interference elimination factor eta corresponding to an uplink interference user k k 。
S205, determining the signal to noise ratio corresponding to the interfered user based on the target interference cancellation factor, the first channel matrix, the second channel matrix, the first link loss and the second link loss.
Wherein the signal-to-noise ratio is used to indicate the signal quality of the crossing time slot corresponding to the interfered user.
Optionally, in the processing of the same time slot, the interference users are classified into strong interference users (i.e. users in a strong interference cell) and weak interference users (i.e. users in other cells except the strong interference cell in the TDD system), an interference cancellation factor eta is calculated by the strong interference users, and the interference cancellation factor eta is substituted into the interference value of the cross time slot interference users to calculate the signal to noise ratio.
Specifically, when the serving cell s of the interfered user 1 is a downlink and the interfering user i is a downlink strong interfering user, combining the formula two, and setting the H corresponding to the second part in the formula two 1_g Represented as a channel matrix of interfered users 1 and serving cell g.
For example, when the interference user i is an uplink strong interference user, combining the formula two, and H corresponding to the second part in the formula two 1_g Replaced by H u&i (uplink interference users are not modeled, here only matrix variables are assumed for deriving the snr calculation method), H u&i Representing the channel matrix between user u (e.g., interfered user 1) and user i. The signals output after detection are as follows:
wherein, is recorded as For downlink strong interference user i is marked asFor the uplink strong interference user i, it is marked +.>
It should be noted that, combining the formula eight and the formula nine, H 1&i Not modeled, is not needed for actual signal to noise ratio, and is shown here only in the middle derivation process.
Further, the signal to noise ratio gamma is calculated by the formula nine and the formula ten m Wherein LL is 1i Indicating the link loss, eta, between the interfered user 1 and the uplink strong interference user i i The cancellation factor corresponding to the cross-slot interference user is represented:
γ m ＝P 1 |A mm | 2 /I m formula ten
In the embodiment of the application, under the condition that the time division duplex TDD system is configured into a flexible frame structure, determining an interference elimination factor, an interference intensity and an interference included angle between each interfered user and a corresponding interference user to form an interference parameter, and obtaining an interference elimination factor library comprising a plurality of interference parameters; further, determining a first channel matrix between the interfered user and the serving cell, determining a second channel matrix between the interfered user and the plurality of strong interference cells, determining a first link loss between the interfered user and each uplink interference user, and determining a second link loss between the interfered user and other cells; and determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library. Finally, based on the target interference elimination factor, the first channel matrix, the second channel matrix, the first link loss and the second link loss, the signal to noise ratio corresponding to the interfered user is determined, and the signal quality of the cross time slot corresponding to the interfered user is indicated through the signal to noise ratio. Through the steps, a target interference cancellation factor corresponding to the interfered user can be determined through the determined interference cancellation factor library comprising a plurality of interference parameters, so as to further determine the signal-to-noise ratio corresponding to the interfered user. 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 an interference parameter between an interfered user and an interfering user, to obtain an interference cancellation factor library, as shown in fig. 8, in a downlink simulation method of a flexible frame structure system provided in an embodiment of the present application, the step in S201 may specifically include the following steps S701 to S704:
s701, determining a plurality of interference cancellation factors corresponding to the interfered users and each interfered user based on a channel matrix between the interfered users and the interfered users, a precoding matrix of the interfered users, and a detection matrix corresponding to the interfered users.
Optionally, taking the above data source 3 as an example, the received signal model of the interfered user in the pre-simulation stage is represented by formula eleven:
wherein, the downlink strong interference user i is marked asAndFor the uplink strong interference user i, it is marked +.>AndH 1&i Representing the channel matrix between the interfered user 1 and the strongly interfering user i. M is M 1 Representing the number of streams, M, of the interfered user 1 i Representing the number of streams of a strongly interfering user i, np 1 Indicating the number of antennas of the interfered user.
Further, the interference elimination factor beta corresponding to each strong interference user i is calculated through a formula twelve i ：
S702, determining a plurality of corresponding interference intensities between the interfered user and each interfered user based on a channel matrix between the interfered user and the interfered user.
Optionally, the interference intensity Pb corresponding to each strong interference user i is calculated by the formula thirteen i ：
S703, determining a plurality of corresponding interference included angles between the interfered user and each interfered user based on the position of the interfered user, the position of the interfered cell and the position of the interfered cell.
The interfered cell is a serving cell of the interfered user, and the interfered cell is a serving cell of the interfered user.
Optionally, determining the relative interference included angle θ between the interfered user and the downlink strong interference user i in each same time slot i The method of (1) is as follows: referring to fig. 3, the horizontal plane position of the interfered user is denoted as a U point, the horizontal plane position of the serving cell of the downlink strong interference user i (i.e., the interfering cell) is denoted as a G point, the horizontal plane position of the serving cell of the interfered user (i.e., the interfered cell) is denoted as S, the US line is directed at 0 degree, and the clockwise direction is positiveRecording the included angle alpha between UG and US i Then pass alpha in combination with equation fourteen i Calculating θ i ：
Optionally, determining the relative interference included angle θ between the interfered user and the uplink strong interference user i in each same time slot i The method of (1) is as follows: referring to fig. 3, the horizontal plane position of the interfered user is denoted as a U point, the horizontal plane position of the uplink strong interference user i is denoted as an E point, the horizontal plane position of the serving cell of the interfered user (i.e., the interfered cell) is denoted as an S point, the US line is oriented at 0 degree, the clockwise direction is the forward direction, and the included angle α between the UE and the US is recorded i Then, the above formula fourteen is combined to pass alpha i Calculating θ i 。
S704, determining a plurality of corresponding interference parameters between the interfered user and each interfered user based on a plurality of interference cancellation factors, a plurality of interference intensities and a plurality of interference included angles, and obtaining an interference cancellation factor library.
Optionally, after determining the plurality of interference cancellation factors, the plurality of interference intensities, and the plurality of interference angles, obtaining (θ) based on the plurality of interference cancellation factors, the plurality of interference intensities, and the plurality of interference angles i ，Pb i ，β i ) And analyzing all sampling points of the pre-simulation as interference factor sampling points, and primarily counting an interference elimination factor library.
In one design, a library of interference cancellation factors is obtained for determining a corresponding plurality of interference parameters between an interfered user and each of the interfering users. As shown in fig. 9, in the downlink simulation method of the flexible frame structure system provided in the embodiment of the present application, the step in S704 may specifically include the following steps S801 to S805:
s801, dividing a plurality of interference included angles by taking a preset interference angle as a step length, and determining a plurality of angle intervals.
Wherein each angle interval corresponds to at least one interference included angle.
Alternatively to this, the method may comprise,with a preset interference angle theta step (θ step 180 can be divided by integer, for example, default to 5) is taken as a step length, the obtained interference included angles theta are divided, and the dividing point is recorded as omega i ＝q*θ step ,q＝0,1,2,...,180θ step 。
S802, dividing a plurality of interference intensities by taking preset interference intensities as step sizes, and determining a plurality of intensity intervals.
Wherein each intensity interval corresponds to at least one interference intensity.
Optionally, the preset interference intensity is Pb step (Pb step Defaulting to 5 dBm) as step length, dividing the obtained interference intensities Pb, and recording the division point as R_Pb i ＝Pb_MIN+q* Pb step ，q＝0,1,2,…,(Pb_MAX-Pb_MIN)/Pb step Wherein Pb_MIN is minus 110dBm by default and Pb_MAX is minus 60dBm by default.
S803, constructing a two-dimensional model comprising a plurality of grids based on the interference included angle and the interference intensity, determining the maximum interference included angle corresponding to each grid as the interference included angle of each grid, and determining the maximum interference intensity corresponding to each grid as the interference intensity of each grid.
Wherein one angle interval and one intensity interval correspond to one grid.
Alternatively, the interference angle corresponding to each grid is denoted as delta q ＝Ω q q＝1,2,…,180/θ step The interference intensity corresponding to each grid is denoted as Pb q ＝R_Pb q q＝1,2,…,(Pb_MAX-Pb_MIN)/ Pb step 。
S804, determining an average interference cancellation factor corresponding to at least one interference cancellation factor in each grid, and determining the average interference cancellation factor as the interference cancellation factor of each grid.
Alternatively, for θ satisfying two conditions in the following formula fifteen i And Pb i Corresponding beta i Averaging as interference cancellation factor mu corresponding to the grid q 。
S805, determining a plurality of interference parameters based on the interference included angle of each grid, the interference intensity of each grid and the interference cancellation factor of each grid, and obtaining an interference cancellation factor library.
Alternatively, the first and second groups are separated by (delta q ，Pb q ，μ q ) Indicating interference parameters to obtain an interference cancellation factor library, i.e. the interference cancellation factor library is a plane library, each delta q And Pb q The grid corresponds to mu q 。
Further, some grids may not have recorded (θ) in the statistics of the interference cancellation factor library due to simulated end user scattering randomness, etc i ，Pb i ，β i ) The data requires further curve fitting based on a grid of existing data.
Specifically, the interference intensity of each grid is fixed, and for each interference intensity Pb, the following fitting is performed on the grids of the same Pb with θ as a variable: 1) Grid delta with recorded data q In which the smallest q value is denoted q min The method comprises the steps of carrying out a first treatment on the surface of the 2) Grid delta with recorded data q In which the largest q value is denoted q max The method comprises the steps of carrying out a first treatment on the surface of the 3) For satisfying q < q min Delta without recorded data q Grid, noted mu q ＝μ qmin The method comprises the steps of carrying out a first treatment on the surface of the 4) For satisfying q > q max Delta without recorded data q Grid, noted mu q ＝μ qmax The method comprises the steps of carrying out a first treatment on the surface of the 5) For satisfying q min ＜q＜q max The method comprises the steps of carrying out a first treatment on the surface of the And delta without recorded data q And (5) a grid, and fitting by adopting linear interpolation.
The relative interference included angle of each grid is fixed, for each interference included angle delta, the grids with the same delta are fitted by taking Pb as a variable, and the fitting method is the same as the fitting method, and the variable delta is replaced by Pb.
In one design, multiple strong interfering cells may be determined. As shown in fig. 10, in the downlink simulation method of the flexible frame structure system provided in the embodiment of the present application, before the step in S202, the following S901-S903 may be further specifically included:
s901, determining a large-scale path loss between each of the plurality of cells and the interfered user.
Alternatively, for the interfered user u, the large-scale path loss PL from the remaining cells g to the interfered user u excluding the serving cell of the interfered user u is calculated separately ug 。
S902, determining the minimum n large-scale path loss from a plurality of large-scale path loss corresponding to a plurality of cells.
Wherein n is a positive integer.
Optionally, further processing the plurality of calculated PLs ug Ordering from small to large, and ordering from multiple PLs ug From which the first n PL's are determined ug 。
S903, determining n cells corresponding to the minimum n large-scale path losses as a plurality of strong interference cells.
Optionally, the first n PLs are ug The corresponding interfering cell is determined to be a strong interfering cell.
For example, in combination with the above method, as shown in fig. 11, for each user (i.e., interfered user) in the TDD system, a plurality of strong interference cells corresponding to each user may be first determined, and a channel matrix between the interfered user and the serving cell, and between the interfered user and the strong interference cell may be established; further, link loss between the interfered user and other users in the TDD system is determined, and an interfering user having the same physical resources as the interfered user is determined. And determining 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 the cross interference user (namely the strong interference user) when the uplink time slot of the interference cell is the same as the interfered user, determining an interference elimination factor library, calculating the interference elimination factor of the cross interference user, and determining the signal to noise ratio. When the uplink time slot of the interference cell is different from that of the interfered user, further determining whether the interfered user is modeled with the channel matrix of the interference cell, and when determining that the interfered user is modeled with the channel matrix of the interference cell, determining the user with the same physical resource as the interfered user in the interference cell as a strong interference user, and calculating the signal to noise ratio; and when the interfered user and the interfered cell are determined to have no channel matrix modeling, determining the user with the same physical resource as the interfered user in the interfered cell as a weak interference user, and calculating the signal to noise ratio.
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. 12 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. 12, 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 slots, and improve efficiency of determining signal quality of crossing 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 interference parameters between an interfered user and an interfering user in a case where the TDD system is configured as a flexible frame structure, to obtain an interference cancellation factor library; the interference cancellation factor library includes a plurality of interference parameters, each interference parameter being an interference parameter between one interfered user and one interfering user, each interference parameter comprising: the TDD system comprises a plurality of cells, wherein each cell comprises a plurality of users;
a processing unit 401, configured to determine a first channel matrix between an interfered user and a serving cell of the interfered user, and a second channel matrix between the interfered user and a plurality of strong interference cells; the large-scale path loss between the multiple strong interference cells and the serving cell of the interfered user meets the preset condition;
A processing unit 401, configured to determine a first link loss between the interfered user and each uplink interference user, and determine a second link loss between the interfered user and other cells, where the other cells are cells of the multiple cells except for a serving cell of the interfered user and multiple strong interference cells;
a processing unit 401, configured to determine a target interference cancellation factor corresponding to the interfered user from the interference cancellation factor library;
the processing unit 401 is configured to determine a signal-to-noise ratio corresponding to the interfered user based on the target interference cancellation factor, the first channel matrix, the second channel matrix, the first link loss, and the second link loss, where the 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 a plurality of interference cancellation factors corresponding to each of the interfered users and each of the interfered users based on a channel matrix between the interfered users and the interfered users, a precoding matrix of the interfered users, and a detection matrix corresponding to the interfered users;
a processing unit 401, configured to determine a plurality of corresponding interference intensities between the interfered user and each of the interfered users based on a channel matrix between the interfered user and the interfered user;
A processing unit 401, configured to determine a plurality of interference included angles corresponding to each of the interfered users and the interfered users based on the location of the interfered user, the location of the interfered cell, and the location of the interfered cell, where the interfered cell is a serving cell of the interfered user;
the processing unit 401 is configured to determine a plurality of interference parameters corresponding to the interfered user and each of the interfered users based on the plurality of interference cancellation factors, the plurality of interference intensities and the plurality of interference angles, and obtain an interference cancellation factor library.
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 segment a plurality of interference angles with a preset interference angle as a step length, and determine a plurality of angle intervals, where each angle interval corresponds to at least one interference angle;
the processing unit 401 is configured to segment a plurality of interference intensities with a preset interference intensity as a step length, determine a plurality of intensity intervals, and each intensity interval corresponds to at least one interference intensity;
a processing unit 401, configured to construct a two-dimensional model including a plurality of grids based on the interference included angle and the interference intensity, determine a maximum interference included angle corresponding to each grid as an interference included angle of each grid, and determine a maximum interference intensity corresponding to each grid as an interference intensity of each grid; an angle interval and an intensity interval correspond to a grid;
A processing unit 401, configured to determine an average interference cancellation factor corresponding to at least one interference cancellation factor in each grid, and determine the average interference cancellation factor as an interference cancellation factor of each grid;
the processing unit 401 is configured to determine a plurality of interference parameters based on the interference included angle of each grid, the interference intensity of each grid, and the interference cancellation factor of each grid, and obtain an interference cancellation factor library.
Optionally, in the downlink simulation apparatus 40 of a flexible frame structure system provided in the embodiments of the present application, a processing unit 401 is configured to determine a large-scale path loss between each of a plurality of cells and an interfered user;
a processing unit 401, configured to determine, from a plurality of large-scale path losses corresponding to a plurality of cells, a minimum n large-scale path losses, where n is a positive integer;
the processing unit 401 is configured to determine n cells corresponding to the smallest n large-scale path losses as a plurality of strong interference cells.
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 channel matrix between the interfered user and the serving cell of the interfered user based on the number of antennas of the interfered user and the number of antennas of the serving cell of the interfered user;
The processing unit 401 is configured to determine a second channel matrix between the interfered user and each strong interference cell based on the number of antennas of the interfered user and the number of antennas of each strong interference cell.
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 target interference included angle between the interfered user and each uplink interference user, and determine a target interference strength between the interfered user and each uplink interference user;
the processing unit 401 is configured to determine, from the interference cancellation factor library, a target interference cancellation factor corresponding to the interfered user based on the target interference included angle and the target interference intensity.
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 the interfered user and each uplink interference user based on a large-scale path loss between the interfered user and each uplink interference user, an antenna gain of the interfered user, and an antenna gain of each uplink interference user;
the processing unit 401 is configured to determine a second link loss between the interfered user and the other cell based on the large-scale path loss between the interfered user and the other cell, the antenna gain of the interfered user, and the antenna gain of the other cell.
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 search a plurality of interference included angles smaller than or equal to a target interference included angle from the interference cancellation factor library, and determine a maximum interference included angle from the plurality of interference included angles;
a processing unit 401, configured to find a plurality of interference intensities less than or equal to a target interference intensity from an interference cancellation factor library, and determine a maximum interference intensity from the plurality of interference intensities;
the processing unit 401 is configured to search the interference cancellation factor corresponding to the maximum interference included angle and the maximum interference intensity from the interference cancellation factor library, and determine the interference cancellation factor as the target interference cancellation factor corresponding to the interfered user.
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. 13, 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. 13.
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. 13, but not only one bus or one type of bus.
It should be noted that the structure shown in fig. 13 does not constitute a limitation of the electronic device 60. The electronic device 60 may include more or fewer components than shown in fig. 13, or may combine certain components or a different arrangement of components.
As an example, in connection with fig. 12, the processing unit 401 in the electronic device realizes the same function as the processor 601 in fig. 13.
Optionally, as shown in fig. 13, 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 (14)

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 interference parameters between an interfered user and an interference user to obtain an interference elimination factor library; the interference cancellation factor library includes a plurality of interference parameters, each interference parameter being an interference parameter between an interfered user and an interfering user, each interference parameter including: the TDD system comprises a plurality of cells, wherein each cell comprises a plurality of users;
determining a first channel matrix between the interfered user and a serving cell of the interfered user, and a second channel matrix between the interfered user and a plurality of strong interference cells; the large-scale path loss between the multiple strong interference cells and the serving cell of the interfered user meets a preset condition;
Determining a first link loss between the interfered user and each uplink interference user, and determining a second link loss between the interfered user and other cells, the other cells being cells of the plurality of cells other than the serving cell of the interfered user and the plurality of strong interference cells;
determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library;
determining a signal-to-noise ratio corresponding to the interfered user based on the target interference cancellation factor, the first channel matrix, the second channel matrix, the first link loss and the second link loss, wherein the signal-to-noise ratio is used for indicating the signal quality of a cross time slot corresponding to the interfered user;
wherein, the determining the interference parameter between the interfered user and the interfering user, to obtain the interference cancellation factor library, includes:
determining a plurality of interference cancellation factors corresponding to the interfered users and each interfered user based on a channel matrix between the interfered users and the interfered users, a precoding matrix of the interfered users and a detection matrix corresponding to the interfered users;
Determining a plurality of corresponding interference intensities between the interfered user and each of the interfering users based on a channel matrix between the interfered user and the interfering users;
determining a plurality of corresponding interference included angles between the interfered user and each interfered user based on the position of the interfered user, the position of an interfered cell, and the position of an interference cell, wherein the interfered cell is a serving cell of the interfered user, and the interference cell is a serving cell of the interfered user; when the interference user is a downlink strong interference user, the interference included angle is an included angle between a line connecting the position of the interfered user and the position of the interfered cell and a line connecting the position of the interfered user and the position of the interfered cell; when the interference user is an uplink strong interference user, the interference included angle is an included angle between a line connecting the position of the interfered user and the position of the interfered cell and a line connecting the position of the interfered user and the position of the interference user;
dividing the interference included angles by taking a preset interference angle as a step length, and determining a plurality of angle intervals, wherein each angle interval corresponds to at least one interference included angle;
Dividing the interference intensities by taking preset interference intensities as step sizes, and determining a plurality of intensity intervals, wherein each intensity interval corresponds to at least one interference intensity;
constructing a two-dimensional model comprising a plurality of grids based on the interference included angle and the interference intensity, determining the maximum interference included angle corresponding to each grid as the interference included angle of each grid, and determining the maximum interference intensity corresponding to each grid as the interference intensity of each grid; an angle interval and an intensity interval correspond to a grid;
determining an average interference cancellation factor corresponding to at least one interference cancellation factor in each grid, and determining the average interference cancellation factor as the interference cancellation factor of each grid;
and determining a plurality of interference parameters based on the interference included angle of each grid, the interference intensity of each grid and the interference elimination factor of each grid to obtain the interference elimination factor library.
2. The method of claim 1, wherein prior to determining the first channel matrix between the interfered user and the serving cell of the interfered user and the second channel matrix between the interfered user and the plurality of strong interfering cells, the method further comprises:
Determining a large-scale path loss between each cell of the plurality of cells and the interfered user;
determining the minimum n large-scale path loss from a plurality of large-scale path loss corresponding to the cells, wherein n is a positive integer;
and determining n cells corresponding to the minimum n large-scale path losses as the strong interference cells.
3. The method of claim 1, wherein the determining a first channel matrix between the interfered user and the interfered user's serving cell and a second channel matrix between the interfered user and a plurality of strong interfering cells comprises:
determining a first channel matrix between the interfered user and the serving cell of the interfered user based on the number of antennas of the interfered user and the number of antennas of the serving cell of the interfered user;
and determining a second channel matrix between the interfered user and each strong interference cell based on the number of antennas of the interfered user and the number of antennas of each strong interference cell.
4. The method of claim 1, wherein the determining the target interference cancellation factor corresponding to the interfered user from the interference cancellation factor library comprises:
Determining a target interference included angle between the interfered user and each uplink interference user, and determining target interference intensity between the interfered user and each uplink interference user;
and determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library based on the target interference included angle and the target interference intensity.
5. The method of claim 1, wherein the determining a first link loss between the interfered user and each uplink interfering user and determining a second link loss between the interfered user and other cells comprises:
determining a first link loss between the interfered user and each uplink interference user based on a large-scale path loss between the interfered user and each uplink interference user, an antenna gain of the interfered user, and an antenna gain of each uplink interference user;
and determining a second link loss between the interfered user and the other cell based on the large-scale path loss between the interfered user and the other cell, the antenna gain of the interfered user, and the antenna gain of the other cell.
6. The method of claim 4, wherein the determining the target interference cancellation factor corresponding to the interfered user from the interference cancellation factor library based on the target interference angle and the target interference strength comprises:
searching a plurality of interference included angles smaller than or equal to the target interference included angle from the interference elimination factor library, and determining the largest interference included angle from the interference included angles;
searching a plurality of interference intensities smaller than or equal to the target interference intensity from the interference elimination factor library, and determining the maximum interference intensity from the plurality of interference intensities;
and searching the interference elimination factor corresponding to the maximum interference included angle and the maximum interference intensity from the interference elimination factor library, and determining the interference elimination factor as a target interference elimination factor corresponding to the interfered user.
7. A flexible frame structure system downlink simulation device, comprising: a processing unit;
the processing unit is used for determining interference parameters between an interfered user and an interference user under the condition that the time division duplex TDD system is configured into a flexible frame structure, so as to obtain an interference elimination factor library; the interference cancellation factor library includes a plurality of interference parameters, each interference parameter being an interference parameter between an interfered user and an interfering user, each interference parameter including: the TDD system comprises a plurality of cells, wherein each cell comprises a plurality of users;
The processing unit is used for determining a first channel matrix between the interfered user and a service cell of the interfered user and a second channel matrix between the interfered user and a plurality of strong interference cells; the large-scale path loss between the multiple strong interference cells and the serving cell of the interfered user meets a preset condition;
the processing unit is configured to determine a first link loss between the interfered user and each uplink interference user, and determine a second link loss between the interfered user and other cells, where the other cells are cells of the plurality of cells except for a serving cell of the interfered user and the plurality of strong interference cells;
the processing unit is used for determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library;
the processing unit is configured to determine a signal-to-noise ratio corresponding to the interfered user, where the signal-to-noise ratio is used to indicate a signal quality of a cross slot corresponding to the interfered user, based on the target interference cancellation factor, the first channel matrix, the second channel matrix, the first link loss, and the second link loss;
The processing unit is configured to determine a plurality of interference cancellation factors corresponding to the interfered users and each interfered user based on a channel matrix between the interfered users and the interfered users, a precoding matrix of the interfered users, and a detection matrix corresponding to the interfered users;
the processing unit is used for determining a plurality of corresponding interference intensities between the interfered user and each interfered user based on the channel matrix between the interfered user and the interfered user;
the processing unit is configured to determine a plurality of corresponding interference included angles between the interfered user and each of the interfered users based on the location of the interfered user, the location of an interfered cell, and the location of an interfering cell, where the interfered cell is a serving cell of the interfered user; when the interference user is a downlink strong interference user, the interference included angle is an included angle between a line connecting the position of the interfered user and the position of the interfered cell and a line connecting the position of the interfered user and the position of the interfered cell; when the interference user is an uplink strong interference user, the interference included angle is an included angle between a line connecting the position of the interfered user and the position of the interfered cell and a line connecting the position of the interfered user and the position of the interference user;
The processing unit is used for dividing the interference included angles by taking a preset interference angle as a step length, determining a plurality of angle intervals, and each angle interval corresponds to at least one interference included angle;
the processing unit is used for dividing the interference intensities by taking preset interference intensity as a step length to determine a plurality of intensity intervals, and each intensity interval corresponds to at least one interference intensity;
the processing unit is used for constructing a two-dimensional model comprising a plurality of grids based on the interference included angle and the interference intensity, determining the maximum interference included angle corresponding to each grid as the interference included angle of each grid, and determining the maximum interference intensity corresponding to each grid as the interference intensity of each grid; an angle interval and an intensity interval correspond to a grid;
the processing unit is used for determining an average interference cancellation factor corresponding to at least one interference cancellation factor in each grid, and determining the average interference cancellation factor as the interference cancellation factor of each grid;
the processing unit is used for determining a plurality of interference parameters based on the interference included angle of each grid, the interference intensity of each grid and the interference elimination factor of each grid to obtain the interference elimination factor library.
8. The flexible frame structure system downstream simulation apparatus of claim 7, wherein the processing unit is configured to determine a large-scale path loss between each of the plurality of cells and the interfered user;
the processing unit is used for determining the minimum n large-scale path loss from a plurality of large-scale path loss corresponding to the cells, wherein n is a positive integer;
the processing unit is configured to determine n cells corresponding to the minimum n large-scale path losses as the multiple strong interference cells.
9. The flexible frame structure system downlink simulation apparatus of claim 7, wherein the processing unit is configured to determine a first channel matrix between the interfered user and the serving cell of the interfered user based on the number of antennas of the interfered user and the number of antennas of the serving cell of the interfered user;
the processing unit is configured to determine a second channel matrix between the interfered user and each strong interference cell based on the number of antennas of the interfered user and the number of antennas of each strong interference cell.
10. The flexible frame structure system downlink simulation apparatus according to claim 7, wherein the processing unit is configured to determine a target interference angle between the interfered user and each uplink interference user, and determine a target interference strength between the interfered user and each uplink interference user;
And the processing unit is used for determining a target interference elimination factor corresponding to the interfered user from the interference elimination factor library based on the target interference included angle and the target interference intensity.
11. The flexible frame structure system downlink simulation apparatus of claim 7, wherein the processing unit is configured to determine a first link loss between the interfered user and each uplink interfering user based on a large-scale path loss between the interfered user and each uplink interfering user, an antenna gain of the interfered user, and an antenna gain of each uplink interfering user;
the processing unit is configured to determine a second link loss between the interfered user and the other cell based on a large-scale path loss between the interfered user and the other cell, an antenna gain of the interfered user, and an antenna gain of the other cell.
12. The downlink simulation apparatus of the flexible frame structure system according to claim 10, wherein the processing unit is configured to search a plurality of interference included angles smaller than or equal to the target interference included angle from the interference cancellation factor library, and determine a maximum interference included angle from the plurality of interference included angles;
The processing unit is used for searching a plurality of interference intensities smaller than or equal to the target interference intensity from the interference elimination factor library, and determining the maximum interference intensity from the plurality of interference intensities;
and the processing unit is used for searching the interference elimination factor corresponding to the maximum interference included angle and the maximum interference intensity from the interference elimination factor library, and determining the interference elimination factor as the target interference elimination factor corresponding to the interfered user.
13. 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 1-6.
14. 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 1-6.
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