CN110768736B - Channel simulation method and device - Google Patents
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Abstract
The invention discloses a channel simulation method and a channel simulation device, relates to the technical field of communication, and is used for improving the simulation efficiency of a channel simulation system. The method comprises the following steps: determining the number p of User Equipment (UE) in the current simulation scene; acquiring the position information of each UE in p UEs at a first moment from a channel model library; determining a target cell set from M cells according to the position information of each UE in the p UEs at a first moment; the target cell set comprises a service cell of each UE in the p UEs and a cell which generates interference to each UE in the p UEs at a first moment; acquiring target channel data between each UE in the p UEs and each cell in the target cell set at a first moment from a channel model base; according to the target channel data, simulation evaluation is performed. The embodiment of the invention is applied to a channel simulation system.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a channel simulation method and apparatus.
Background
Currently, in the existing channel simulation system, the next detection and evaluation work is performed through the calculation of a time domain channel and the calculation of a frequency domain channel in the channel modeling process.
However, the channel calculation part involves a large amount of multiplication, the occupied time is long, and particularly when different configuration parameters are targeted in the same scene, the channel calculation part needs to be repeated every time of channel modeling, so that a large amount of time is consumed, and the efficiency of the existing channel simulation system is low.
Disclosure of Invention
The embodiment of the invention provides a channel simulation method and device, which are used for improving the simulation efficiency of a channel simulation system.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a channel simulation method is provided, which is characterized by determining the number p of User Equipment (UE) in a current simulation scene; acquiring the position information of each UE in p UEs at a first moment from a channel model library; the channel model base comprises position information of each UE in q UEs at n moments and channel data between each UE in q UEs and each cell in M cells at the n moments in a current simulation scene; wherein q is more than or equal to p, and the first moment is included in the n moments; the M cells include a serving cell of each UE of the q UEs and a cell adjacent to the serving cell of each UE of the q UEs; the channel data is used for reflecting the quality of the channel; determining a target cell set from the M cells according to the position information of each UE in the p UEs at the first moment; wherein the target cell set includes a serving cell of each of the p UEs and a cell that generates interference to each of the p UEs at the first time; acquiring target channel data between each UE in the p UEs and each cell in the target cell set at a first moment from the channel model base; and executing simulation evaluation according to the target channel data.
In a second aspect, a channel simulation apparatus is provided, where the apparatus includes a second determining unit, a second obtaining unit, a third determining unit, a third obtaining unit, and an executing unit; the second determining unit is configured to determine the number p of the user equipment UEs in the current simulation scenario; the second obtaining unit is configured to obtain, from the channel model library, location information of each UE in the p UEs at the first time after the second determining unit determines the number p of UEs in the current simulation scenario; the channel model base comprises position information of each UE in q UEs at n moments and channel data between each UE in q UEs and each cell in M cells at the n moments in a current simulation scene; wherein q is more than or equal to p, and the first moment is included in the n moments; the M cells include a serving cell of each UE of the q UEs and a cell adjacent to the serving cell of each UE of the q UEs; the channel data is used for reflecting the quality of the channel; the third determining unit is specifically configured to, after the second obtaining unit obtains, from a channel model base, location information of each UE in p UEs at a first time, determine, according to the location information of each UE in the p UEs at the first time, a target cell set from the M cells; wherein the target cell set includes a serving cell of each of the p UEs and a cell that generates interference to each of the p UEs at the first time; the third obtaining unit is configured to, after the third determining unit determines the target cell set from the M cells according to the location information of each UE in the p UEs at the first time, obtain, from the channel model base, target channel data between each UE in the p UEs at the first time and each cell in the target cell set; the executing unit is configured to, after the third obtaining unit obtains, from the channel model base, target channel data between each UE in the p UEs at the first time and each cell in the target cell set, execute simulation evaluation according to the target channel data.
In a third 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 the channel simulation method of the first aspect.
In a fourth aspect, there is provided a channel simulation apparatus, including: a processor, a memory, and a communication interface; the communication interface is used for the communication between the channel simulation device and other equipment or networks; the memory is used for storing one or more programs, the one or more programs including computer executable instructions, and when the client terminal device runs, the processor executes the computer executable instructions stored in the memory, so as to make the channel simulation apparatus execute the channel simulation method according to the first aspect.
The embodiment of the invention provides a channel simulation method and device, which are applied to a channel simulation system, the position information of a plurality of UE (user equipment) in the current simulation scene and the channel data between the UE and a plurality of cells are stored, when the actual simulation is executed, a data reading mode is used for replacing a channel calculation part in channel modeling, the channel data between the UE and the cells are not required to be repeatedly calculated when the configuration information in the current simulation scene is different, the channel calculation part with the longest time consumption in the simulation system is reduced, and the simulation efficiency of the channel simulation system is improved.
Drawings
Fig. 1 is a first flowchart illustrating a channel simulation method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a channel simulation method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a channel simulation method according to an embodiment of the present invention;
fig. 4 is a first schematic structural diagram of a channel simulation apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a channel simulation apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a channel simulation apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a channel simulation apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
In the description of the present invention, "/" means "or" unless otherwise specified, for example, a/B may mean a or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" means one or more, "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.
The inventive concept of the present invention is described below: currently, in an existing Long Term Evolution (LTE) or 5G NR (5G New Radio) channel simulation system, a simulation process generally configures a current simulation scenario in the simulation system, and generates a cell and a certain number of User Equipments (UEs) according to configuration information of the current simulation scenario, so that the certain number of UEs move according to a moving model and generate service data to be transmitted according to the simulation model; performing channel modeling on signal propagation characteristics between a user and a cell antenna according to a channel model through a certain number of UE and the positions of the cell antenna, thereby evaluating signal quality and system performance indexes; wherein the channel modeling comprises the calculation of a time domain channel and the calculation of a frequency domain channel.
Based on the technology, the invention discovers that the simulation cost in the simulation process is the largest in the channel modeling part, particularly the calculation part in the channel modeling part relates to a large amount of multiplication calculation, the occupied time is long, and particularly when the channel modeling is performed on different configuration information in the same scene, the channel calculation part needs to be repeated every time, so that a large amount of time is consumed, and the efficiency of the conventional channel simulation system is low.
In order to solve the technical problems, in the invention, in order to reduce a calculation part in a simulation process, in a current simulation scene, position information of a plurality of UEs and channel data of frequency domain channels of the UEs and peripheral cells are determined and stored, and the channel data between the UEs and the cells are directly acquired according to different configuration information along with different configuration information of the current simulation scene, so that repeated channel calculation aiming at different configuration information can be avoided, and the technical problems can be solved.
Based on the above inventive concept, an embodiment of the present invention provides a channel simulation method, which is applied to a channel simulation apparatus 100, and as shown in fig. 1, the method includes S201 to S209:
s201, the channel simulation apparatus 100 acquires location information of each UE among the q UEs at n times.
Specifically, the channel simulation apparatus 100 simulates the movement of q UEs according to the UE movement model, and records and acquires the location information of each UE among the q UEs at n times.
Wherein q may be a random number set by the operation and maintenance personnel; n is a preset value, and the n time moments comprise a plurality of continuous time moments.
S202, the channel simulation apparatus 100 determines a serving cell of each UE of the q UEs and a cell adjacent to the serving cell of each UE of the q UEs according to the location information of each UE of the q UEs at n times, to obtain M cells.
The M cells include a serving cell of each UE of the q UEs and a cell adjacent to the serving cell of each UE of the q UEs.
Specifically, the channel simulation apparatus 100 determines a serving cell of each of q UEs according to location information of each of the q UEs at n times, and determines a cell adjacent to the serving cell of each of the q UEs according to the serving cell of each of the q UEs.
Since the channel simulation method before S202 does not determine which cells are interfering UEs in the q UEs, the setting of M may fully include the cells that need to be modeled during the actual simulation of the channel simulation system as much as possible in order to ensure the accuracy of the channel simulation system.
For example, fig. 2 shows one possibility of q UEs and M cells in the embodiment of the present invention, and as shown in fig. 2, the number of UEs is 4, and the number of cells is 20.
S203, the channel simulation apparatus 100 calculates channel data between each UE of the q UEs and each cell of the M cells at n times according to the channel model and the channel generation procedure corresponding to the current simulation scenario.
Specifically, the channel simulation apparatus 100 calculates channel data of the time domain channel of each UE in the q UEs and the time domain channel of the M cells at n times according to the channel model and the channel generation step corresponding to the current simulation scenario, and calculates channel data of the frequency domain channel of each UE in the q UEs and the M cells at n times according to the channel data of the time domain channel of each UE in the q UEs and the time domain channel of the M cells at n times.
It should be noted that a specific method for calculating channel data of a time domain channel may refer to a standard channel modeling method, for example, in a 5G NR system, channel modeling refers to a channel modeling method and parameter configuration under each scenario in the 3GPP TR 38.901 standard for correlation calculation.
A specific method for calculating channel data of a time domain channel can refer to the following example:
the channel data of the time domain channel calculated in the above step is converted into channel data of the frequency domain channel by discrete fourier transform, which may be represented as follows:
wherein, ω represents subcarrier identification, in the LTE system, the 20MHz system bandwidth 15kHz subcarrier spacing is 1200 subcarriers in total, and 5G NR isIn the system, 3300 subcarriers are spaced at 30KHz subcarrier intervals in a 100MHz system bandwidth, D represents the number of the intermediate diameters of a fast fading channel model, f represents the frequency point of the corresponding subcarrier calculated, tau (u, s, D) represents the time delay of the D-th diameter or the intermediate diameter between UE (u) and a base station antenna(s), a value is generated in the channel model calculation step, Hu,s,d(t) represents the time domain channel response of the d-th path or the pitch path; δ (t- τ (u, s, d)) represents the discrete sampling of the time-domain signal.
From the above calculations, the channel data for the spectral channel on each sampled subcarrier (ω) between each pair of ue (u) and base station antenna(s) can be known.
S204, the channel simulation apparatus 100 establishes a channel model base using the location information of each UE among the q UEs at the n times and the channel data between each UE among the q UEs at the n times and each cell among the M cells.
Specifically, the channel simulation apparatus 100 generates a channel model base using the position information of each UE among q UEs at n times and the channel data between each UE among q UEs at n times and each cell among M cells.
The channel model library may be a table for recording data, or may be a file with another format for recording data.
The channel model library may be stored in a region for storage in the channel simulation apparatus 100, may be stored in a local storage device other than the channel simulation apparatus 100, or may be stored in a storage server that can communicate with the channel simulation apparatus 100.
Illustratively, in conjunction with fig. 2, the channel model library may specifically include a table as shown in table 1; wherein L isuq nIndicating the location information of the qth UE at the nth time.
TABLE 1
| Lu1 1 | Lu2 1 | Lu3 1 | Lu4 1 | … | Luq 1 |
| Lu1 2 | Lu2 2 | Lu3 2 | Lu4 2 | … | Luq 2 |
| … | … | … | … | … | … |
| Lu1 1 | Lu2 1 | Lu3 3 | Lu4 4 | … | Luq n |
For example, in conjunction with fig. 2, the channel model library may further specifically include a table as shown in table 2; wherein HUq_CM nIndicates the nth time of the nth UE and the Mth cell C of the Mth cellMFrequency domain channel data between.
TABLE 2
It should be noted that the channel model library includes relevant information of each UE among the q UEs, specifically including a time identifier, a UE identifier, a cell identifier, location information of the UE, an antenna identifier, a subcarrier identifier, a channel data frequency domain channel real part, and a frequency domain channel imaginary part.
In an LTE system, the time identifier may specifically be a subframe identifier, and in a 5G NR system, the time identifier may specifically be a Slot identifier; the user location information may specifically be coordinates of the UE, and the channel data may specifically include a real frequency domain channel part and an imaginary frequency domain channel part.
S205, the channel simulation apparatus 100 determines the number p of the UE in the current simulation scenario.
Specifically, the channel simulation apparatus 100 obtains the number of UEs from the configuration information of the current simulation scenario.
Wherein the configuration information may include: during channel simulation, the operation and maintenance personnel preset information texts of various parameters in the current simulation scene, which specifically include parameters such as the number of UEs, the number of cells, and the number of antennas.
It should be noted that the configuration information provided in the embodiment of the present invention may specifically include information formed by scheduling and resource allocation performed by an operation and maintenance person on the UE in the cell according to a Proportional Fair (PF) scheduling algorithm.
S206, the channel simulation apparatus 100 acquires the location information of each UE in the p UEs at the first time from the channel model library.
The channel model base comprises position information of each UE in the q UEs at n moments and channel data between each UE in the q UEs at n moments and each cell in the M cells in a current simulation scene.
Wherein q is more than or equal to p, and the first moment is included in n moments; the channel data is used to reflect the quality of the channel.
Optionally, the channel model library provided in the embodiment of the present invention further includes an identifier of each UE in the q UEs and a time identifier of each time in the n times, and S206 may specifically include:
the channel simulation apparatus 100 queries, from the channel model library, the location information of each UE of the p UEs at the first time according to the identifier of each UE of the p UEs and the time identifier of the first time.
S207, the channel simulation apparatus 100 determines a target cell set from M cells according to the location information of each UE in the p UEs at the first time.
The target cell set comprises a serving cell of each UE in the p UEs and a cell which generates interference to each UE in the p UEs at a first time.
Optionally, before S207, the channel simulation method provided in the embodiment of the present invention specifically includes:
it is determined whether there is a cell that causes interference to each of the p UEs.
Specifically, the channel simulation apparatus 100 determines whether or not there is a cell that causes interference to each UE of p UEs from among the M cells, based on the location information of each UE of the p UEs.
For example, as shown in fig. 2, when the channel simulation apparatus 100 allocates resources to each UE of p UEs, if the UE1 and the UE3 allocate the same resources, it is determined that an interfering cell exists in the UE1, and the interfering cell existing in the UE1 is the serving cell C7 of the UE 3.
S207 provided in the embodiment of the present invention may specifically include: and if the cell generating interference on each UE in the p UEs is determined to exist, determining a target cell set from the M cells according to the position information of each UE in the p UEs at the first moment.
In another implementation, if the channel simulation apparatus 100 determines that there is no cell that interferes with each UE of p UEs in M cells, the channel of each cell in M cells is treated as white noise, and only the large-scale fading level of the signal sent by M cells is calculated without performing fast fading channel modeling and calculation.
Optionally, the channel simulation method S207 provided in the embodiment of the present invention may further include, specifically, S2071 to S2072:
s2071, the channel simulation apparatus 100 determines the level value of the signal transmitted by each of the M cells to each of the p UEs when each of the p UEs is located at the position corresponding to the position information of each of the p UEs at the first time.
Specifically, channel simulation apparatus 100 determines a level value at which each cell in M cells transmits a signal to each UE in p UEs according to the position of each UE in p UEs
It should be noted that, in the embodiment of the present invention, determining the level value of the signal sent by each cell in the M cells to each UE in the p UEs is further based on parameters such as the position, the azimuth, the downtilt, the antenna, and the like of the cell antenna in the current channel simulation scenario.
S2072, the channel simulation apparatus 100 determines j cells having the largest level value of the transmission signal as the cells which cause interference to each UE among the p UEs.
Specifically, the channel simulation apparatus 100 determines j cells generating the largest interference to each UE among p UEs as interference cells, and sets the j interference cells and the serving cell of each UE among the p UEs as a target cell set.
It should be noted that, in the actual channel simulation process, the target cell set may specifically be a cell that needs to be subjected to channel modeling.
S208, the channel simulation apparatus 100 obtains target channel data between each UE in the p UEs at the first time and each cell in the target cell set from the channel model base.
Specifically, after determining the location information of each UE in the p UEs and the target cell set, the channel simulation apparatus 100 queries, from the channel model base, target channel data between each UE in the p UEs and each cell in the target cell set at the first time according to the UE identifier of each UE in the p UEs and the cell identifier of each cell in the target cell set.
S209, the channel simulation apparatus 100 performs simulation evaluation based on the target channel data.
Specifically, the channel simulation apparatus 100 evaluates the quality of the transmission signal of each cell in the target cell set and the performance index of the channel simulation system according to the target channel data.
In order to consider continuity in executing the channel simulation method for multiple times and save more time under different parameter configurations in the same channel simulation scenario, optionally, the channel simulation apparatus 100 provided in the embodiment of the present invention includes a first obtaining unit 102 and a second determining unit 103.
The first obtaining unit 102 is configured to obtain, from a channel model library, location information of each UE in the plurality of UEs at each of n times; the second determining unit 103 is configured to, after the first obtaining unit 102 obtains the location information of each of the plurality of UEs at each of the n times from the channel model base, determine the target cell set from the M cells according to the location information of each of the plurality of UEs at each of the n times.
The channel simulation method provided by the embodiment of the invention further comprises the following steps:
after the first obtaining unit 102 obtains the location information of each UE in the p UEs at the first time from the channel model base and sends the location information of each UE in the p UEs at the first time to the second determining unit 103, the first obtaining unit obtains the location information of each UE in the r UEs at the second time from the channel model base and sends the location information of each UE in the r UEs at the second time to the second determining unit 103.
Wherein the second time comprises the next time of the first time.
Optionally, the channel simulation apparatus 100 provided in this embodiment of the present invention may further include a temporary storage unit 110, where the temporary storage unit 110 is configured to obtain and store two or more consecutive time instants, location information of each UE in the q UEs, and channel data between each UE in the q UEs and each cell in the M cells from the channel model base.
Therefore, as shown in fig. 3, the channel simulation method provided in the embodiment of the present invention may further include, in actual application, S301 to S308:
s301, the channel simulation apparatus 100 determines the number of UEs at n times in the current simulation scenario.
Specifically, this step may refer to S205 in the above embodiment, and is not described herein again.
S302, the channel simulation apparatus 100 obtains and stores the location information of each UE in the q UEs at two consecutive times and the channel data of each UE in the q UEs and M cells at two consecutive times from the channel model base.
Specifically, this step may refer to step S206 provided in the above embodiment of the present invention, and is not described herein again.
In this step, the channel simulation apparatus 100 acquires and stores the location information of each UE among the q UEs at a plurality of consecutive times and the channel data of each UE among the q UEs with the M cells at two consecutive times from the channel model base.
S303, the channel simulation apparatus 100 acquires the location information of each UE in the p UEs at the first time from the temporary storage unit 110.
Specifically, this step may refer to step S206 provided in the above embodiment of the present invention, and is not described herein again.
S304, the channel simulation apparatus 100 acquires the location information of each UE in the r UEs at the second time from the temporary storage unit 110.
Specifically, this step may refer to step S206 provided in the above embodiment of the present invention, and is not described herein again.
S305, the channel simulation apparatus 100 determines whether or not the acquisition of the location information of each UE in the r UEs at the second time is completed.
Specifically, if the channel simulation apparatus 100 determines that the acquisition of the location information of each UE in the r UEs at the second time is completed, S306 is executed; if the channel simulation apparatus 100 determines that the location information of each UE in the r UEs at the second time is not completely acquired, the process continues to execute S304.
306. The channel simulation apparatus 100 determines a target cell set from M cells based on the location information of each UE among the r UEs at the second time.
Specifically, this step may refer to step S207 provided in the above embodiment of the present invention, and is not described herein again.
307. The channel simulation apparatus 100 acquires, from the temporary storage unit, target channel data between each UE of the r UEs at the second time and each cell in the target cell set.
Specifically, this step may refer to step S208 provided in the above embodiment of the present invention, and is not described herein again.
308. The channel simulation apparatus 100 performs simulation evaluation based on the target channel data.
Specifically, this step may refer to step S209 provided in the above embodiment of the present invention, and is not described herein again.
Optionally, as shown in fig. 3, in practical application, after S307, the channel simulation method provided in the embodiment of the present invention may further include S309-S310:
s309, the channel simulation apparatus 100 deletes the location information of each UE among the q UEs at the first time and the channel data between each UE among the q UEs and the M cells at the first time.
S310, the channel simulation apparatus 100 obtains and stores the location information of each UE of the q UEs at the third time and the channel data of each UE of the q UEs with the M cells at the third time from the channel model base.
Specifically, in this step, reference may be made to step S302 provided in the foregoing embodiment of the present invention, and the channel simulation at the third time is executed according to the channel simulation method provided in the foregoing embodiment, and details of the specific execution method are not described here again.
The embodiment of the invention provides a channel simulation method and device, which are applied to a channel simulation system, the position information of a plurality of UE (user equipment) in the current simulation scene and the channel data between the UE and a plurality of cells are stored, when the actual simulation is executed, a data reading mode is used for replacing a channel calculation part in channel modeling, the channel data between the UE and the cells are not required to be repeatedly calculated when the configuration information in the current simulation scene is different, the channel calculation part with the longest time consumption in the simulation system is reduced, and the simulation efficiency of the channel simulation system is improved.
Illustratively, a data reading mode is used to replace channel modeling calculation during actual system simulation, and taking an NR system with 100M system bandwidth as an example, the effect of the method provided by the embodiment of the present invention is described:
firstly, configuring a channel simulation scene, presetting 570 UEs in 20 cells in a mode of sampling 2 subcarriers per PRB (physical layer time-frequency resource concept), wherein a base station adopts 64-channel antennas, and when configuring a 4-antenna scene, the data volume required to be read by each slot is 546sc 570UE 20 cells 4bytes 2-50 Mbytes; the channel modeling partial simulation takes time T1, and the execution time T2 of the other modules except for the channel modeling is about 1.2 s. In order to read data in the modeling part of the channel simulation system to meet the execution time T2 of other modules, the rate of reading data from the channel model library in the modeling part can be set to 42 Mbyte/s; as can be seen from the above, the total simulation time consumption of K times of simulations in the same channel simulation scenario is T1+ K × T2, and compared with the prior art, the total simulation time consumption of K times of simulations is K × (T1+ T2), so that the simulation efficiency of the present invention is improved by about K times, that is, the more the simulation times are, the more the times of replacing the channel calculation part in the channel modeling with the data reading manner are, the more the simulation efficiency of the channel simulation system is improved.
The embodiment of the present invention may perform division of the functional modules or functional units on the client terminal device according to the above method example, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module may be implemented in a form of hardware, or may be implemented in a form of a software functional module or a functional unit. The division of the modules or units in the embodiments of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In the case of dividing each functional module according to each function, the embodiment of the present invention provides a schematic diagram of a possible structure of the channel simulation apparatus 100 according to the above-mentioned embodiments, and as shown in fig. 4, the channel simulation apparatus 100 includes a first determining unit 101, a first obtaining unit 102, a second determining unit 103, a second obtaining unit 104, and an executing unit 105.
A first determining unit 101, configured to determine a number p of user equipments UE in a current simulation scenario.
A first obtaining unit 102, configured to obtain, after the first determining unit 101 determines the number p of UEs in the current simulation scenario, location information of each UE in the p UEs at a first time from a channel model library; the channel model base comprises position information of each UE in q UEs at n moments and channel data between each UE in q UEs at n moments and each cell in M cells in a current simulation scene; wherein q is more than or equal to p, and the first moment is included in n moments; the M cells comprise a service cell of each UE in the q UEs and a cell adjacent to the service cell of each UE in the q UEs; the channel data is used to reflect the quality of the channel.
A second determining unit 103, configured to, after the first obtaining unit 102 obtains the location information of each UE in the p UEs at the first time from the channel model base, determine a target cell set from the M cells according to the location information of each UE in the p UEs at the first time; the target cell set comprises a serving cell of each UE in the p UEs and a cell which generates interference to each UE in the p UEs at a first time.
A second obtaining unit 104, configured to, after the second determining unit 103 determines the target cell set from the M cells according to the location information of each UE in the p UEs at the first time, obtain target channel data between each UE in the p UEs at the first time and each cell in the target cell set from the channel model base.
And the executing unit 105 is configured to, after the third obtaining unit obtains, from the channel model base, target channel data between each UE in the p UEs at the first time and each cell in the target cell set, execute simulation evaluation according to the target channel data.
Optionally, as shown in fig. 5, the channel simulation apparatus 100 according to the embodiment of the present invention further includes a third obtaining unit 106, a third determining unit 107, a calculating unit 108, and a storage unit 109.
A third obtaining unit 106, configured to obtain location information of each UE in the q UEs at n time points.
A third determining unit 107, configured to, after the third obtaining unit 106 obtains the location information of each UE in the q UEs at n times in the current simulation scenario, determine, according to the location information of each UE in the q UEs at n times, a serving cell of each UE in the q UEs and a cell adjacent to the serving cell of each UE in the q UEs, so as to obtain M cells.
A calculating unit 108, configured to, after the third determining unit 107 determines M cells according to the location information of each UE in the q UEs at n times, calculate channel data between each UE in the q UEs at n times and each cell in the M cells according to the channel model and the channel generating step corresponding to the current simulation scenario.
And a storage unit 109, configured to, after the calculation unit 108 calculates channel data between each UE in the q UEs and each cell in the M cells at n times according to the channel model and the channel generation step corresponding to the current simulation scenario, establish a channel model base by using the location information of each UE in the q UEs at n times and the channel data between each UE in the q UEs and each cell in the M cells at n times.
Optionally, as shown in fig. 5, in the channel simulation apparatus 100 according to the embodiment of the present invention, the channel model library further includes an identifier of each UE in the q UEs and a time identifier of each time in the n times.
The first obtaining unit 102 is specifically configured to query, from the channel model library, location information of each UE in the p UEs at the first time according to the identifier of each UE in the p UEs and the time identifier of the first time.
Optionally, as shown in fig. 5, in the channel simulation apparatus 100 according to the embodiment of the present invention, the second determining unit 103 is specifically configured to determine level values of signals sent by each cell in M cells to each UE in p UEs when each UE in the p UEs is located at a position corresponding to the position information of each UE in the p UEs at the first time.
The second determining unit 103 is further configured to determine j cells with the largest level value of the transmission signal as cells that generate interference to each UE of the p UEs.
Optionally, as shown in fig. 5, in the channel simulation apparatus 100 provided in the embodiment of the present invention, the first obtaining unit 102 is further configured to, after the first obtaining unit 102 obtains, from the channel model base, location information of each UE in p UEs at a first time, and sends, to the second determining unit 103, the location information of each UE in r UEs at a second time, and sends, to the second determining unit 103, the location information of each UE in r UEs at the second time; wherein the second time comprises the next time of the first time.
Optionally, as shown in fig. 5, in the channel simulation apparatus 100 according to the embodiment of the present invention, the second determining unit 103 is further configured to determine whether there is a cell that generates interference to each UE in p UEs.
The second determining unit 103 is specifically configured to determine, if the first determining subunit determines that there is a cell that generates interference to each UE of the p UEs, a target cell set from the M cells according to the location information of each UE of the p UEs at the first time.
Optionally, an embodiment of the present invention provides a schematic diagram of a possible structure of the channel simulation apparatus 100 in the foregoing embodiment, as shown in fig. 6, where the channel simulation apparatus 100 further includes a temporary storage unit 110.
The first determining unit 101 is further configured to determine the number of UEs at n times in the current simulation scene.
And a temporary storage unit 110, configured to obtain and store location information of each UE in the q UEs at two consecutive times and channel data of each UE in the q UEs and the M cells at two consecutive times from the channel model base.
The first obtaining unit 102 is further configured to obtain, from the temporary storage unit 110, the location information of each UE in the p UEs at the first time.
The first obtaining unit 102 is further configured to, after the first obtaining unit 102 obtains the location information of each UE in the p UEs at the first time from the temporary storage unit 110, obtain the location information of each UE in the p UEs at the first time from the temporary storage unit 110, and obtain the location information of each UE in the r UEs at the second time from the temporary storage unit 110.
The first obtaining unit 102 is further configured to determine whether obtaining the location information of each UE in the r UEs at the second time is completed.
The second determining unit 103 is further configured to, after the first obtaining unit 102 determines that obtaining the location information of each UE in the r UEs at the second time is completed, determine a target cell set from the M cells according to the location information of each UE in the r UEs at the second time.
The second obtaining unit 104 is further configured to, after the second determining unit 103 determines the target cell set from the M cells according to the location information of each UE in the r UEs at the second time, obtain target channel data between each UE in the r UEs at the second time and each cell in the target cell set from the temporary storage unit 110.
The executing unit 105 is further configured to, after the second obtaining unit 104 obtains, from the temporary storage unit 110, target channel data between each UE of the r UEs at the second time and each cell in the target cell set, perform simulation evaluation according to the target channel data.
Optionally, as shown in fig. 6, in the channel simulation apparatus 100 according to the embodiment of the present invention, the temporary storage unit 110 is further configured to delete the location information of each UE in q UEs at the first time and the channel data of each UE in q UEs between the first time and M cells after the second obtaining unit 104 obtains, from the temporary storage unit 110, target channel data between each UE in r UEs at the second time and each cell in the target cell set.
The temporary storage unit 110 is further configured to, after the temporary storage unit 110 deletes the location information of each UE in the q UEs at the first time and the channel data of each UE in the q UEs with the M cells at the first time, obtain and store the location information of each UE in the q UEs at the third time and the channel data of each UE in the q UEs with the M cells at the third time from the channel model base.
Fig. 7 shows a schematic diagram of still another possible structure of the channel simulation apparatus 100 according to the above embodiment. The channel simulation apparatus 100 includes: memory 401, processor 402, communication interface 403, and bus 404. The memory 401 is used to store the program codes and data of the apparatus; the processor 402 is used to control and manage the actions of the device, e.g., to perform the various steps in the method flows shown in the above-described method embodiments, and/or other processes for performing the techniques described herein; the communication interface 403 is used to support the communication of the channel simulation apparatus 100 with other networks or devices.
The processor 302 may implement or execute various illustrative logical blocks, units and circuits described in connection with the present disclosure. The processor may be a central processing unit, general purpose processor, digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, units, and circuits described in connection with the present disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like.
The bus 304 may be an Extended Industry Standard Architecture (EISA) bus or the like. The bus 404 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
It is clear to those skilled in the art from the foregoing description of the embodiments that, for convenience and simplicity of description, the foregoing division of the functional units is merely used as an example, and in practical applications, the above function distribution may be performed by different functional units according to needs, that is, the internal structure of the device may be divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus, and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.
Embodiments of the present invention provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the channel simulation method described in the above method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the invention, 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 channel simulation apparatus, the computer-readable storage medium, and the computer program product in the embodiments of the present invention may be applied to the method described above, reference may also be made to the method embodiments for obtaining technical effects, and details of the embodiments of the present invention are not described herein again.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to be covered by the scope of the present invention.
Claims (12)
1. A channel simulation method is applied to a channel simulation device, and is characterized by comprising the following steps:
determining the number p of User Equipment (UE) in the current simulation scene;
acquiring the position information of each UE in p UEs at a first moment from a channel model library; the channel model base comprises position information of each UE in q UEs at n moments and channel data between each UE in q UEs and each cell in M cells at the n moments in a current simulation scene; wherein q is more than or equal to p, and the first moment is included in the n moments; the M cells include a serving cell of each UE of the q UEs and a cell adjacent to the serving cell of each UE of the q UEs; the channel data is used for reflecting the quality of the channel;
determining a target cell set from the M cells according to the position information of each UE in the p UEs at the first moment; wherein the target cell set includes a serving cell of each of the p UEs and a cell that generates interference to each of the p UEs at the first time;
acquiring target channel data between each UE in the p UEs and each cell in the target cell set at a first moment from the channel model base;
and executing simulation evaluation according to the target channel data.
2. The channel simulation method according to claim 1, wherein before the obtaining of the location information of each of the p UEs at the first time from the channel model base, the method comprises:
acquiring the position information of each UE in the q UEs at the n moments;
determining a serving cell of each UE in the q UEs and a cell adjacent to the serving cell of each UE in the q UEs according to the position information of each UE in the q UEs at the n moments to obtain the M cells;
calculating channel data between each UE in the q UEs at the n moments and each cell in the M cells according to the channel model corresponding to the current simulation scene and the channel generation step;
and establishing the channel model base by using the position information of each UE in the q UEs at the n moments and the channel data between each UE in the q UEs at the n moments and each cell in the M cells.
3. The channel simulation method according to claim 1, wherein the channel model base further includes an identifier of each UE of the q UEs and a time identifier of each time of the n times; the obtaining, from the channel model library, location information of each UE in the p UEs at a first time specifically includes:
and inquiring the position information of each UE in the p UEs at the first moment from the channel model library according to the identification of each UE in the p UEs and the time identification of the first moment.
4. The channel simulation method according to claim 1, wherein the determining a target cell set from the M cells according to the location information of each UE in the p UEs at the first time includes:
determining a level value of a signal sent by each cell of the M cells to each UE of the p UEs when each UE of the p UEs is located at a position corresponding to position information of each UE of the p UEs at a first time;
and determining j cells with the maximum level value of the transmission signals as cells generating interference to each UE in the p UEs.
5. The channel simulation method according to claim 1, wherein the channel simulation apparatus includes a first acquisition unit and a second determination unit; the first obtaining unit is configured to obtain, from the channel model library, location information of each UE in the plurality of UEs at each of the n times; the second determining unit is configured to determine, after the first obtaining unit obtains, from the channel model base, location information of each UE of the multiple UEs at each of the n times, a target cell set from the M cells according to the location information of each UE of the multiple UEs at each of the n times; the method further comprises the following steps:
after a second obtaining unit obtains the position information of each UE in the p UEs at the first time from the channel model base and sends the position information of each UE in the p UEs at the first time to a third determining unit, the second obtaining unit obtains the position information of each UE in the r UEs at the second time from the channel model base and sends the position information of each UE in the r UEs at the second time to the third determining unit; wherein the second time comprises a time next to the first time.
6. The channel simulation method of claim 1, wherein before the determining the target set of cells from the M cells according to the location information of each UE of the p UEs at the first time, the method further comprises:
determining whether a cell generating interference to each UE of the p UEs exists;
the determining a target cell set from the M cells according to the location information of each UE in the p UEs at the first time specifically includes:
and if the cell generating interference on each UE in the p UEs is determined to exist, determining a target cell set from the M cells according to the position information of each UE in the p UEs at the first moment.
7. A channel simulation device is characterized by comprising a first determining unit, a first acquiring unit, a second determining unit, a second acquiring unit and an executing unit;
the first determining unit is used for determining the number p of the user equipment UE in the current simulation scene;
the first obtaining unit is configured to obtain, from a channel model library, location information of each UE in p UEs at a first time after the first determining unit determines the number p of UEs in the current simulation scenario; the channel model base comprises position information of each UE in q UEs at n moments and channel data between each UE in q UEs and each cell in M cells at the n moments in a current simulation scene; wherein q is more than or equal to p, and the first moment is included in the n moments; the M cells include a serving cell of each UE of the q UEs and a cell adjacent to the serving cell of each UE of the q UEs; the channel data is used for reflecting the quality of the channel;
the second determining unit is specifically configured to, after the first obtaining unit obtains, from a channel model base, location information of each UE in p UEs at a first time, determine, according to the location information of each UE in the p UEs at the first time, a target cell set from the M cells; wherein the target cell set includes a serving cell of each of the p UEs and a cell that generates interference to each of the p UEs at the first time;
the second obtaining unit is configured to, after the second determining unit determines the target cell set from the M cells according to the location information of each UE in the p UEs at the first time, obtain, from the channel model base, target channel data between each UE in the p UEs at the first time and each cell in the target cell set;
the execution unit is configured to, after the third obtaining unit obtains, from the channel model base, target channel data between each UE in the p UEs at the first time and each cell in the target cell set, execute simulation evaluation according to the target channel data.
8. The channel simulation apparatus according to claim 7, wherein the apparatus further comprises a third acquisition unit, a third determination unit, a calculation unit, and a storage unit;
the third obtaining unit is configured to obtain location information of each UE in the q UEs at the n times;
the third determining unit is configured to determine, after the third obtaining unit obtains the location information of each UE in the q UEs at the n times in the current simulation scenario, a serving cell of each UE in the q UEs and a cell adjacent to the serving cell of each UE in the q UEs according to the location information of each UE in the q UEs at the n times, so as to obtain the M cells;
the calculating unit is configured to calculate channel data between each UE in the q UEs and each cell in the M cells at the n times according to the channel model and the channel generation step corresponding to the current simulation scenario after the third determining unit determines the M cells according to the location information of each UE in the q UEs at the n times;
the storage unit is configured to, after the calculation unit calculates channel data between each UE in the q UEs and each cell in the M cells at the n times according to the channel model and the channel generation step corresponding to the current simulation scenario, establish the channel model base by using the location information of each UE in the q UEs at the n times and the channel data between each UE in the q UEs and each cell in the M cells at the n times.
9. The channel simulation apparatus according to claim 7, wherein the channel model library further includes an identifier of each UE of the q UEs and a time identifier of each time of the n times;
the first obtaining unit is specifically configured to query, from the channel model library, location information of each UE in the p UEs at the first time according to the identifier of each UE in the p UEs and the time identifier of the first time.
10. The channel emulation apparatus of claim 7,
the second determining unit is specifically configured to determine, when each UE of the p UEs is located at a position corresponding to position information of each UE of the p UEs at a first time, a level value of a signal sent by each cell of the M cells to each UE of the p UEs;
the second determining unit is further specifically configured to determine j cells with the largest level value of the transmission signal as cells that generate interference to each UE of the p UEs.
11. The channel emulation apparatus of claim 7,
the first obtaining unit is further configured to, after the first obtaining unit obtains the location information of each UE in the p UEs at the first time from the channel model base and sends the location information of each UE in the p UEs at the first time to the second determining unit, obtain the location information of each UE in the r UEs at the second time from the channel model base and send the location information of each UE in the r UEs at the second time to the second determining unit; wherein the second time comprises a time next to the first time.
12. The channel emulation apparatus of claim 7,
the second determining unit is further configured to determine whether a cell that generates interference to each UE of the p UEs exists;
the second determining unit is specifically configured to determine, if the first determining subunit determines that there is a cell that generates interference to each UE of the p UEs, a target cell set from the M cells according to location information of each UE of the p UEs at the first time.
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