A multi-cell OTA dynamic performance testing method and system

Abstract

The application discloses a kind of multi-cell OTA dynamic performance test methods, comprising the following steps: for simulating base station signal air transmission, set multiple groups of virtual probes in simulation space, each group of virtual probes is located in a beam direction, and constitutes virtual probe wall;With the input end of phase modulation network connects AAU antenna array output end, and the output signal of phase modulation network is used as virtual probe detection signal, and the amplitude and phase adjustment file of the phase modulation network is determined according to the position of virtual probe and AAU topological distribution;The input end of channel simulator is connected to the output end of the phase modulation network, and the output end of channel simulator is connected to power amplifier unit, and then radiated to terminal darkroom by dual polarization probe.This application also includes the system for realizing the method.The scheme of the application solves the problem that the cost of OTA test using channel simulator is higher, and meets the test scene of terminal high-speed movement and cell fast switching under dynamic channel scene.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to an implementation method for an OTA dynamic performance testing system for multiple cells. Background Technology

[0002] For Multiple-In Multiple-Out (MIMO) communication devices, over-the-air (OTA) testing is typically used for final performance evaluation. OTA technology establishes a reflection-free free space in an anechoic chamber to evaluate the overall RF and antenna performance of the wireless terminal. The Multi-Probe Anechoic Chamber (MPAC) is currently the mainstream international MIMO OTA testing method, and its standard has been adopted by several authoritative international organizations such as CTIA and 3GPP. This method involves deploying multiple probes in the anechoic chamber to create a test environment around the terminal under test that conforms to the requirements of a specific channel model, with certain time delay, Doppler characteristics, and power distribution. The final test result is the device's performance under this specific channel environment.

[0003] Common MIMO OTA channel models are based on geometric statistics, such as the clustered delay line (CDL)-based channel models proposed in 3GPP TR 38.901 and TR 38.827. These models represent static channels with constant channel parameters; the signal power, delay, and angle of arrival do not change over time. Because the user's location remains constant, their effectiveness in evaluating beamforming and tracking techniques is limited.

[0004] Currently, for the anechoic chamber layout of MIMO OTA testing systems, 3GPP TR 38.827 specifies that the 5G FR1 phase uses a circular arrangement of sixteen pairs of equally spaced dual-polarized probes. When constructing the target test channel, different power weights are assigned to probes at different positions based on their azimuth angle characteristics. The weighted signal vectors from each probe converge in the OTA test area, thereby simulating the angle of incoming waves from a specific direction. This OTA anechoic chamber, together with the 5G base station or base station simulator (comprehensive tester), channel simulator (Channel Emulator, CE), power amplifier unit, etc., constitutes the 5G MIMO OTA terminal performance testing system.

[0005] Conventional 5G base stations typically have 64 antenna channels on their AAU panel, while 5G high-speed rail stations often have 8 channels. However, current channel simulators generally have only 32 or 64 I / O ports, requiring a single simulator to connect to all ports of the test cell's AAU at the input end and numerous output ports of the MIMO OTA anechoic chamber at the output end. To meet the testing requirements of multiple cells and multiple AAUs, the number of channel simulators needed would increase exponentially, thus raising the cost of channel simulators. Summary of the Invention

[0006] This application provides a method and system for multi-cell OTA dynamic performance testing, addressing the issue of high cost associated with OTA testing using channel simulators. Specifically, it is suitable for multi-cell OTA testing, where the channel departure angle changes direction and link channel merging occur, and the number of beam directions is significantly less than the total number of AAU transmission channels in the multi-cell system. This satisfies testing scenarios involving high-speed terminal movement and rapid cell handover in dynamic channel environments.

[0007] In a first aspect, embodiments of this application provide a method for testing the dynamic performance of multi-cell OTA (Over-The-Air) communication, comprising the following steps:

[0008] To simulate the over-the-air transmission of base station signals, multiple sets of virtual probes are set up in the simulated space. Each set of virtual probes is located in a beam direction, forming a virtual probe wall.

[0009] The phase modulation network input is connected to the AAU antenna array output. The phase modulation network output signal is used as the virtual probe detection signal. The amplitude and phase adjustment file of the phase modulation network is determined according to the virtual probe position and AAU topology distribution.

[0010] The output of the phase modulation network is connected to the input of the channel simulator, the output of the channel simulator is connected to the power amplifier unit, and then radiated to the terminal anechoic chamber through the dual-polarization probe.

[0011] Preferably, the temporal resolution of the phase modulation network satisfies the Nyquist sampling criterion with respect to the moving speed of the terminal in the channel model.

[0012] Preferably, the time resolution of the phase modulation network is lower than that of the channel simulator. The phase modulation network and the channel simulator synchronously play the channel file, and time-domain interpolation processing is performed on the amplitude and phase adjustment file of the phase modulation network.

[0013] Preferably, the step of determining the amplitude and phase adjustment file of the phase modulation network based on the virtual probe location and AAU topology distribution further includes:

[0014] Determine the number of virtual probes needed to simulate each beam direction;

[0015] Based on the channel dynamics, determine the air signal propagation angle at each moment;

[0016] Based on the AAU topology, the propagation distance, channel angle of arrival, link gain, and link arrival phase between the base station antenna and the virtual probe are calculated.

[0017] Preferably, the channel simulator is used to simulate one or more characteristics of multipath fading, random phase, and Doppler effect during signal propagation.

[0018] Preferably, each group of virtual probes includes two dual-polarized antennas used to simulate and calculate signal values ​​in a set direction. That is, each group of virtual probes includes two virtual probes, and each virtual probe is a virtual dual-polarized antenna.

[0019] Secondly, this application also proposes a multi-cell OTA dynamic performance testing system to implement the method described in any embodiment of this application. The system includes a multi-cell AAU, a phase modulation network, a channel simulator, a power amplifier unit, and a dual-polarization probe installed in the terminal anechoic chamber, all connected in sequence.

[0020] Preferably, in the multi-cell OTA dynamic performance testing system, M = 1, 2, 4, 8; N = 8, 64; P = 8, 16, 32. Wherein, M is the number of AAUs, N is the number of antenna channels per AAU, and P is the number of ports on the base station side of the channel simulator.

[0021] Thirdly, this application also proposes a computer-readable storage medium having a computer program stored thereon for implementing the method described in any embodiment of this application, wherein the program generates the amplitude and phase adjustment file when executed by a processor.

[0022] Fourthly, this application also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, for implementing the method described in any embodiment of this application, wherein the processor generates the amplitude and phase adjustment file when executing the computer program.

[0023] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects:

[0024] This invention addresses the multi-cell testing requirements introduced by MIMO OTA dynamic channel scenarios, focusing on solving the problem that traditional testing solutions suffer from limited channel simulator ports and high costs, making them unsuitable for dynamic multi-cell testing tasks. This invention provides a multi-cell MIMO OTA dynamic testing system implementation scheme. A Phase Modulation Network (PMN) is introduced between the base station group and the channel simulator in the testing system. Leveraging its multi-port (maximum topology 128×16), low cost (only hundreds of thousands of RMB), and dynamic amplitude and phase programming characteristics, in conjunction with the channel simulator, it achieves dynamic synchronous adjustment of multi-cell channels, integrating instrument resources, expanding testing capabilities, and saving testing costs.

[0025] The introduced phase modulation network employs dynamic amplitude and phase modulation files and a synchronized channel simulator to achieve channel expansion, link combining, and beam selection functions. This enables the construction of a multi-cell MIMO OTA test system. This solution combines hardware and algorithms, reducing testing costs while providing high channel simulation accuracy. It is applicable to dynamic channel models based on geometric statistics for all 4G / 5G 2D / 3D MIMO OTA anechoic chamber layouts and varying angle characteristics. Attached Figure Description

[0026] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0027] Figure 1 This is a schematic diagram of a high-speed rail communication scenario;

[0028] Figure 2 This is a performance testing system for existing 5G FR1 MIMO OTA terminals;

[0029] Figure 3 This is a flowchart of the multi-cell OTA dynamic performance testing method of this application;

[0030] Figure 4 This is a schematic diagram of the AAU and virtual probe wall in the simulated space of this application;

[0031] Figure 5 This application presents a MIMO OTA multi-cell dynamic performance testing system based on a phase modulation network.

[0032] Figure 6 A flowchart illustrating an embodiment of the phase modulation network amplitude-phase adjustment algorithm;

[0033] Figure 7 Example of a dynamic channel file;

[0034] Figure 8 This is a reconstruction of the correlation in the theoretical space;

[0035] Figures 9(a) to (b) show the Doppler frequency offset reconstruction, where (a) is the measured curve and (b) is the simulated curve. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0037] This application relates to the field of wireless communication technology and discloses a method for implementing a multi-cell OTA dynamic performance testing system. For multi-cell scenarios that may be involved in MIMO OTA dynamic channel modeling and testing, a phase modulation network is used to connect the various physical channels of the base station AAU. By dynamically adjusting the amplitude and phase of each link in the phase modulation network, the changes in transmitted signals within / between cells are simulated. Thus, while ensuring the accuracy of the results, the algorithm and instrumentation work together to achieve the integration and saving of hardware resources. This scheme, by introducing a phase modulation network, achieves a significant expansion of the number of test cells and is applicable to all 2D / 3D OTA testing systems with fixed / non-fixed probes. It avoids the sharp increase in the number of system link topologies caused by multi-cell testing and is suitable for testing scenarios with high-speed terminal movement and rapid cell handover in dynamic channel scenarios. It balances the accuracy of channel modeling while greatly reducing the hardware cost of the system.

[0038] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0039] Figure 1 This is a schematic diagram of a high-speed rail communication scenario.

[0040] In real-world scenarios, user trajectories often change dynamically over time, leading to non-uniform time-varying channel parameters. Furthermore, it involves handover between multiple cells and beam generation / death processes. A typical example is the high-speed rail channel: as the train moves, the terminal traverses different cells along the track, rapidly switching between them. Such dynamic channel models can more accurately reflect the terminal's motion state and performance, but they also pose greater challenges to the implementation of the testing system.

[0041] It should be noted that in high-speed mobile scenarios with rapid handover between multiple cells, although the number of cells is large and the beam direction is constantly changing, the number of beams remains unchanged.

[0042] Figure 2 This is a performance testing system for existing 5G FR1 MIMO OTA terminals.

[0043] The testing system employs a 5G base station and an OTA anechoic chamber with sixteen pairs of dual-polarized probes spaced at equal intervals, divided into two groups with staggered positions. The odd-numbered probe group is used for the downlink; the signal is amplified by a power amplifier (PA) before reaching the center of the anechoic chamber. The even-numbered probe group receives the uplink signal from the terminal in the anechoic chamber, which is then transmitted back to the channel simulator via a low-noise amplifier (LNA) and finally returns to the base station through a specific uplink channel. By ensuring uninterrupted downlink operation, uplink communication is achieved through different links, enabling bidirectional link measurements and more realistically reproducing the reciprocal channel characteristics of the field.

[0044] Figure 3 This is a flowchart of the multi-cell OTA dynamic performance testing method of this application.

[0045] This application provides a method for testing the dynamic performance of multi-cell OTA (Over-The-Air) communication, including the following steps:

[0046] Step 310: To simulate the air transmission of base station signals, multiple sets of virtual probes are set up in the simulated space. Each set of virtual probes is located in a beam direction, forming a virtual probe wall.

[0047] Preferably, each group of virtual probes includes two dual-polarized antennas used to simulate and calculate signal values ​​in a set direction. That is, each group of virtual probes includes two virtual probes, and each virtual probe is a virtual dual-polarized antenna.

[0048] It should be noted that in step 310, the number of base stations is determined based on the actual number of test cells in the dynamic scenario, and the maximum number of virtual probes is determined based on the configuration capabilities of the channel simulator (see Table 2 for details).

[0049] Normally, each cell corresponds to one AAU. Note the AAU merging situation under high-speed cells.

[0050] Through steps 320-330, a test system is built, and the input end of the phase modulation network is connected to the massive MIMO antenna array of the 5G cell AAU, and the output end of the phase modulation network is connected to the input port of the channel simulator.

[0051] Step 320: Connect the input terminal of the phase modulation network to the output terminal of the AAU antenna array. Use the output signal of the phase modulation network as the detection signal of the virtual probe. Determine the amplitude and phase adjustment file of the phase modulation network according to the virtual probe position and AAU topology distribution.

[0052] In step 320, based on the angular characteristics of the dynamic channel, the number of transmitted signal beams (clusters) in each direction that need to be simulated for each cell is determined. Referring to the changes in channel angle parameters during the test, the time resolution is calculated, and then the amplitude and phase information of each cell at each time point is calculated according to the time resolution. These are then merged to obtain the dynamic amplitude and phase adjustment file.

[0053] For example, when the phase modulation network contains P output ports, each output port is used to output one virtual probe detection signal. When each group of virtual probes contains two virtual probes, the P output ports can be used to simulate P / 2 beam directions.

[0054] First, determine the number of cells to be modeled and the AAU topology. Then, calculate the time resolution of the phase modulation network. Preferably, the time resolution of the phase modulation network satisfies the Nyquist sampling criterion with respect to the terminal's moving speed in the channel model. That is, the time resolution needs to be less than twice the reciprocal of the maximum Doppler frequency offset. Where f m = v / λ. This value satisfies the Nyquist sampling criterion with respect to the terminal's moving speed in the channel model and will not cause distortion in the frequency domain.

[0055] Then, the process is repeated for each cell and time point. After determining the angle of the target channel, the signal propagation of each link is calculated based on the AAU panel and the location coordinates of the receiving "virtual probe wall" in conjunction with the antenna pattern. Finally, the amplitude and phase information is extracted and summarized.

[0056] Step 330: The output terminal of the phase modulation network is connected to the input terminal of the channel simulator, the output terminal of the channel simulator is connected to the power amplifier unit, and then radiated to the terminal anechoic chamber through the dual-polarization probe.

[0057] Step 340: Create an OTA dynamic channel for the signal angle of arrival in the channel simulator, import it into the instrument, and synchronize it with the phase modulation network.

[0058] It should be noted that since the phase modulation network and the channel simulator need to play the channel file synchronously, their time granularity must also be consistent to avoid potential mismatches. Preferably, the time resolution of the phase modulation network is lower than that of the channel simulator. The phase modulation network and the channel simulator play the channel file synchronously, and time-domain interpolation processing is performed on the amplitude and phase adjustment file of the phase modulation network.

[0059] Preferably, the channel simulator is used to simulate one or more characteristics of multipath fading, random phase, and Doppler effect during signal propagation.

[0060] Step 350: Activate the cell, register the terminal on the network, play the dynamic channel file, and perform an end-to-end test.

[0061] Figure 4 This is a schematic diagram of the AAU and virtual probe wall in the simulation space of this application. This invention introduces a phase modulation network into the MIMO OTA dynamic performance testing system. Its main functions are to connect all channels of multiple cell AAUs, simulate the direction of channel departure angles, and realize link channel merging. The phase modulation network simulates the signal change relationship between the AAU and the virtual probe wall, specifically including:

[0062] 1) AAU channel connection

[0063] The phase modulation network has numerous input ports, which can meet the connection requirements of all physical channels of AAU multi-cell and large-scale antenna array. Its output is then connected to the channel simulator, thereby saving instrument resources.

[0064] 2) Direction simulation of channel departure angle

[0065] The phase modulation network simulates the process of a 5G base station transmitting signals according to the target dynamic model's departure angle, transmitting them through an "anechoic chamber air interface" path to the receiving "virtual probe wall." Virtual probe 42 serves to receive the base station's transmitted signals and then transmit them to the channel simulator. Specifically, the input ports of the phase modulation network connect to the various antenna channels of the base station's AAU, and the output ports correspond to the respective virtual probe antennas. Based on the angle of the target channel signal beam 41, directional amplitude and phase adjustment of each link in the phase modulation network achieves the directional simulation of the base station's signal transmission angle, completing the directional selection of the channel departure angle. Taking a 16-channel output phase modulation network as an example, as shown in the figure, considering the cluster angle expansion, if two virtual "probes" (dual-polarized antennas, therefore 4 channels) are used for signal reception in a specific direction, clusters with angles concentrated in four directions can be selected. If the cluster angle expansion is not considered, clusters with a maximum of eight angles can be selected.

[0066] 3) Link channel merging

[0067] The phase modulation network simulates the air interface propagation process of the signal transmitter, and its receiving "probe" (the output of the phase modulation network) is connected to the input of the channel simulator. By controlling the number of receiving "probes", the number of link channels is merged and converged, ultimately adapting to the topology resources of various channel simulators.

[0068] Figure 5 This application presents a MIMO OTA multi-cell dynamic performance testing system based on a phase modulation network.

[0069] This application also proposes a multi-cell OTA dynamic performance testing system to implement the method described in any embodiment of this application. The system includes a multi-cell AAU, a phase modulation network, a channel simulator, a power amplifier unit, and a dual-polarization probe installed in a terminal anechoic chamber, all connected in sequence.

[0070] The signal transmission subprocess, including information such as transmitting antenna gain and signal transmission phase difference, is implemented by a phase modulation network in this test system. The signal propagation subprocess, including multipath fading information such as power and phase changes, is implemented by a channel simulator in this test system. The signal reception subprocess, including information such as antenna receiving gain, signal receiving phase difference, and Doppler, is implemented by a channel simulator, a power amplifier unit, and an OTA anechoic chamber dual-polarized probe in this test system.

[0071] Table 1 shows the parameter composition and instrument allocation based on the geometric channel model, and the functions implemented by each part of the test system.

[0072]

[0073]

[0074] The RF channels of multiple cell AAUs are directly connected to the input of the phase modulation network. Through link combining via the phase modulation network, a smaller number of outputs are connected to the channel simulator. The configuration of the phase modulation network and the maximum number of clusters it can simulate vary depending on the RF capabilities of different channel simulators and the number of AAUs being tested. Let M be the number of AAUs used in the test, N be the number of antenna panel channels for each AAU, and P be the number of I / O ports on the channel simulator. This is also the number of ports that need to be connected to the output ports of the phase modulation network. Therefore, the configuration of the phase modulation network is: (MN) × P. Figure 4 Analysis shows that simulating an incoming wave direction (cluster) requires at least one pair of "probes," i.e., two channels. Therefore, the maximum number of clusters that can be simulated is P / 2. Alternatively, S pairs of probes can be used for simulation, and the maximum number of clusters that can be simulated is P / 2S. Specific examples are shown in Table 2. Preferably, in the multi-cell OTA dynamic performance testing system, M = 1, 2, 4, 8; N = 8, 64; P = 8, 16, 32. Where M is the number of AAUs, N is the number of antenna channels per AAU, and P is the number of ports on the base station side of the channel simulator.

[0075] Table 2. Configuration Instructions for Phase Modulation Network Ports

[0076]

[0077] Note: Due to the limited number of ports, it is recommended to connect the 4-channel AAU directly to the channel simulator.

[0078] Furthermore, to ensure bidirectional reciprocity of the link, the latter half of the test system still employs an alternating combination of power amplifiers, low-noise amplifiers, and probes (16 probes, 32 channels inside the anechoic chamber). This allows a single 64-channel channel simulator to meet all testing requirements, resulting in a significant reduction in testing costs.

[0079] Common base station AAU panel topologies on the market include 4T4R, 8T8R, and 64-antenna arrays. Taking a 64-channel AAU as an example, each cell's AAU panel consists of 4 rows and 16 columns, totaling 64 channels, arranged with alternating +45° polarization. The horizontal and vertical element spacing is d. h and d v The AAU panel topology and antenna spacing information can be obtained from the equipment manufacturer. A far-field environment at 10,000 meters is simulated. It is assumed that the target cluster angles at each moment are two sets. Each cluster uses a pair of dual-polarized "probes" (±90°) to simulate reception.

[0080] Figure 6 This is a flowchart of an embodiment of the phase modulation network amplitude and phase adjustment algorithm.

[0081] Preferably, step 320 of the embodiment, which involves determining the amplitude and phase adjustment file of the phase modulation network based on the virtual probe location and AAU topology distribution, further includes:

[0082] Step 610: Determine the number of virtual probes required to simulate each beam direction;

[0083] Step 620: Determine the air signal propagation angle at each moment based on the channel dynamics;

[0084] Steps 630-660: Based on the AAU topology, calculate the propagation distance, channel angle of arrival, link gain, and link arrival phase between the base station antenna and the virtual probe. Step 630: Coordinate initialization and propagation distance calculation; Step 640: Gain calculation; Step 650: Phase calculation; Step 660: Data result processing and output.

[0085] Preferably, the base station antenna pattern follows the gain formula of 3GPP TR 38.901.

[0086] Regarding the implementation algorithm of dynamic amplitude and phase adjustment files in phase modulation networks, according to 3GPP TR38.901, the wireless channel model based on geometric modeling includes cluster power information, all antenna gain information of base stations / terminals, phase difference information, direction of arrival, and frequency offset information, as shown in Table 1.

[0087] Figure 7 This is an example of a dynamic channel file.

[0088] In the dynamic channel file, the first column, TIME, represents the file's time resolution in milliseconds. The first row contains the channel numbers, and subsequent columns are arranged in the format A(input)n(number)B(output)n(number): inputs are listed first, followed by outputs. In the example above, the first cell occupies all channels A1–A64 and B1–B4; the second cell occupies all channels A65–A128 and B1–B4. Channels not assigned data in the instrument are set to the default maximum amplitude and not connected. The number 50|180 in the table represents an amplitude of 50dB and a phase of 180°. The total channel duration is calculated by multiplying the number of lines in the file by the time resolution. Furthermore, the file supports loop playback and frequency adjustment.

[0089] For wireless channels constructed using phase modulation networks, it is necessary to simulate and verify key parameters to ensure the accuracy of channel modeling. Wireless channels are generally described from several dimensions, including time correlation, spatial correlation, power delay spectrum, and cross-polarization ratio. Among these, time correlation and spatial correlation, because they describe the temporal and spatial characteristics of the channel, are the most important indicators for judging the accuracy of the channel model.

[0090] Figure 8 This section presents a reconstruction of the theoretical spatial correlation. Channel modeling is performed using a phase modulation network, and the simulated spatial correlation values ​​are compared with the theoretical values ​​modeled using a channel simulator. The Yuheng CDL-C model is employed at 2.565 GHz.

[0091] Figures 9(a) to (b) show the Doppler frequency offset restoration, where (a) is the measured curve and (b) is the simulated curve. The model is Yuheng CDL-C, with a speed of 30 km / h and a speed of 2.565 GHz.

[0092] In addition, after the channel modeling was completed, it was imported into the test system for actual measurement. The Doppler spectrum obtained by spectrum analyzer was compared with the theoretical Doppler spectrum, as shown in the figure.

[0093] As can be seen, the theoretical and experimental results are approximately consistent in terms of both time and space, proving the accuracy and feasibility of this scheme in constructing the channel.

[0094] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0095] Therefore, this application also proposes a computer-readable storage medium having a computer program stored thereon for implementing the method described in any embodiment of this application, wherein the program generates the amplitude and phase adjustment file when executed by a processor.

[0096] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0097] Therefore, this application also proposes an electronic device (or computing device) including a memory, a processor, and a computer program stored in the memory and executable on the processor, for implementing the method described in any embodiment of this application, wherein the processor generates the amplitude and phase adjustment file when executing the computer program.

[0098] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0099] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A multi-cell OTA dynamic performance testing method for cell handover testing scenarios, characterized in that, Includes the following steps: To simulate the over-the-air transmission of base station signals, multiple sets of virtual probes are set up in the simulated space. Each set of virtual probes is located in a beam direction, forming a virtual probe wall. The phase modulation network input is connected to the AAU antenna array output. The phase modulation network output signal is used as the virtual probe detection signal. The amplitude and phase adjustment file of the phase modulation network is determined according to the virtual probe position and AAU topology distribution. The phase modulation network combines its M input AAUs and N antenna channels of each AAU, totaling M×N input channels, into P output channels, where M×N>P, and P is the number of ports on the channel simulator base station side. By utilizing the dynamic amplitude and phase programming capability of the phase modulation network and in conjunction with the channel simulator, dynamic synchronous adjustment of multi-cell channels can be achieved. Specifically, the phase modulation network and the channel simulator play the channel file synchronously. The output of the phase modulation network is connected to the input of the channel simulator, the output of the channel simulator is connected to the power amplifier unit, and then the signal is radiated to the terminal anechoic chamber through a dual-polarization probe.

2. The multi-cell OTA dynamic performance testing method as described in claim 1, characterized in that, The temporal resolution of the phase modulation network and the moving speed of the terminal in the channel model satisfy the Nyquist sampling criterion.

3. The multi-cell OTA dynamic performance testing method as described in claim 1, characterized in that, The time resolution of the phase modulation network is lower than that of the channel simulator. The phase modulation network and the channel simulator synchronously play the channel file, and perform time-domain interpolation processing on the amplitude and phase adjustment file of the phase modulation network.

4. The multi-cell OTA dynamic performance testing method as described in claim 1, characterized in that, The step of determining the amplitude and phase adjustment file of the phase modulation network based on the virtual probe position and AAU topology distribution further includes: Determine the number of virtual probes needed to simulate each beam direction; Based on the channel dynamics, determine the air signal propagation angle at each moment; Based on the AAU topology, the propagation distance, channel angle of arrival, link gain, and link arrival phase between the base station antenna and the virtual probe are calculated.

5. The multi-cell OTA dynamic performance testing method as described in claim 1, characterized in that, The channel simulator is used to simulate one or more characteristics of multipath fading, random phase, and Doppler effect during signal propagation.

6. The multi-cell OTA dynamic performance testing method as described in claim 1, characterized in that, Each set of virtual probes contains two dual-polarized antennas, used to simulate and calculate signal values ​​in a set direction.

7. A multi-cell OTA dynamic performance testing system, used to implement the method described in any one of claims 1 to 6, characterized in that, It includes a multi-cell AAU, a phase modulation network, a channel simulator, a power amplifier unit, and a dual-polarization probe installed in the terminal anechoic chamber, all connected in sequence.

8. The multi-cell OTA dynamic performance testing system as described in claim 7, characterized in that, M=1,2,4,8; N=8,64; P=8,16,32; M represents the number of AAUs, N represents the number of antenna channels per AAU, and P represents the number of ports on the base station side of the channel simulator.

9. A computer-readable storage medium having a computer program stored thereon for implementing the method according to any one of claims 1 to 6, characterized in that, The amplitude and phase adjustment file is generated when the program is executed by the processor.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, for implementing the method according to any one of claims 1 to 6, characterized in that, The processor generates the amplitude and phase adjustment file when executing the computer program.

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