Wireless communication system, wireless collection apparatus, wireless communication method, and wireless collection program

Abstract

The purpose of the present disclosure is to provide a technology with which it is possible to perform reduction on data obtained from received wireless signals and then store the data in a storage device. A wireless communication system according to the present disclosure comprises a base station that transmits a wireless signal, and a wireless collection apparatus. The wireless collection apparatus comprises a primary storage device capable of temporarily storing data, and a secondary storage device capable of non-temporarily storing data. The wireless collection apparatus executes: a collection process for sequentially collecting wireless signals; a process for temporarily storing, in the primary storage device, data that is obtained from the collected wireless signals; a reduction process for generating reduced data by decreasing non-feature portions of the data that has been read from the primary storage device; and a process for storing the reduced data in the secondary storage device.

Description

Wireless communication system, wireless collection device, wireless communication method, and wireless collection program

[0001] The present disclosure relates to a wireless communication system, a wireless collection device, a wireless communication method, and a wireless collection program.

[0002] Wireless access technologies such as LTE (Long Term Evolution) and 5G (5th generation mobile communication system) are widely used. In LTE and 5G, mobile communication of terminal devices is enabled by arranging a plurality of cellular base stations.

[0003] In addition to such cellular communication, wireless communication using a wireless LAN system such as Wi-Fi is also widely used.

[0004] In cellular communication and wireless LAN communication, techniques for estimating channel quality or measuring the movement of an object existing in a propagation path using propagation path information such as channel state information (CSI) or RSSI (Received Signal Strength Indicator) are known (see, for example, Patent Document 1).

[0005] For example, in LTE / 5G, by using Open Air Interface (OAI), which is open source software (OSS), the operations of the layers included in the protocol stack of LTE / 5G can be emulated. By using this, the receiving side can collect the wireless signals transmitted from the base station and derive CSI (see, for example, Patent Documents 2 and 3).

[0006] Animal and bird detection system utilizing wireless LAN radio waves, NTT Technical Journal, April 2019. OAI 5G RAN PROJECT GROUP, OpenAirInterface 5G Radio Access Network Project, 5G RAN OpenAirInterface, https: / / openairinterface.org / oai-5g-ran-project / NR physical layer specifications in 5G, NTT DOCOMO Technical Journal, Vol. 26, No. 3, November 2018.

[0007] However, the receiving end must receive a large amount of radio signals in order to measure propagation path information. For example, in LTE, which uses 12 subcarriers (180 kHz) as resource blocks, eight reference signals are transmitted from one antenna port of the base station within one subframe (1 ms) with a width of 20 MHz. On the receiving end, the increasing amount of data obtained from the radio signals puts a strain on the capacity of the storage device.

[0008] The first objective of this disclosure is to provide a wireless communication system that can reduce the size of data obtained from a received wireless signal and store it in a memory device, in order to solve the above-mentioned problems.

[0009] The second objective of this disclosure is to provide a wireless data acquisition device that can reduce the size of data obtained from a received wireless signal and store it in a memory device, in order to solve the above-mentioned problems.

[0010] The third objective of this disclosure is to provide a wireless communication method that can reduce the size of data obtained from a received wireless signal and store it in a memory device, in order to solve the aforementioned problems.

[0011] The fourth objective of this disclosure is to provide a wireless data acquisition program that can reduce the size of data obtained from a received wireless signal and store it in a memory device, in order to solve the aforementioned problems.

[0012] A first aspect of the present disclosure is preferably a wireless communication system comprising: a base station that transmits wireless signals; and a wireless collection device, wherein the wireless collection device comprises a primary storage device capable of temporarily storing data and a secondary storage device capable of non-temporarily storing data; and is configured to perform: a collection process for sequentially collecting the wireless signals; a process for temporarily storing the data obtained from the collected wireless signals in the primary storage device; a lightweighting process for generating lightweight data by removing non-feature parts from the data read from the primary storage device; and a process for storing the lightweight data in the secondary storage device.

[0013] Furthermore, a second embodiment is preferably a wireless data acquisition device comprising a primary storage device capable of temporarily storing data and a secondary storage device capable of non-temporarily storing data, and configured to perform a collection process for sequentially collecting wireless signals, a process for temporarily storing data obtained from the collected wireless signals in the primary storage device, a weight reduction process for generating weight-reduced data by removing non-feature parts from the data read from the primary storage device, and a process for storing the weight-reduced data in the secondary storage device.

[0014] Furthermore, a third embodiment is preferably a wireless communication method that includes sequentially collecting wireless signals, storing data obtained from the collected wireless signals in a primary storage device capable of temporary storage, generating lightweight data by removing non-feature parts from the data read from the primary storage device, and storing the lightweight data in a secondary storage device capable of non-temporary storage.

[0015] A fourth embodiment is a wireless data collection program to be executed by a wireless data collection device having a primary storage device capable of temporarily storing data and a secondary storage device capable of non-temporarily storing data, and preferably includes a program that causes the wireless data collection device to execute: a collection process for sequentially collecting wireless signals; a process for temporarily storing the data obtained from the collected wireless signals in the primary storage device; a lightweighting process for generating lightweight data by removing non-feature parts from the data read from the primary storage device; and a process for storing the lightweight data in the secondary storage device.

[0016] This disclosure generates lightweight data by removing non-feature components from data obtained from collected wireless signals, and stores this lightweight data in a secondary storage device, which is a non-temporary storage device. Therefore, data obtained from received wireless signals can be stored in a storage device after being made lightweight.

[0017] This is an example of the configuration of a wireless communication system according to Embodiment 1. This is a diagram illustrating a method for rounding data according to Embodiment 1. This is a block diagram of a wireless data collection device according to Embodiment 1. This is a diagram showing the hardware configuration of a wireless data collection device according to Embodiment 1. This is a flowchart illustrating the processing performed by the CPU of the wireless data collection device according to Embodiment 1. This is a diagram illustrating a method for finding the difference between data at two antenna ports according to Embodiment 2. This is a block diagram of a wireless data collection device according to Embodiment 2. This is a flowchart illustrating the processing performed by the CPU of the wireless data collection device according to Embodiment 2. This is a diagram illustrating a method for moving smoothing data according to Embodiment 3.

[0018] Embodiments of this disclosure will be described with reference to the drawings. The same or corresponding components will be denoted by the same reference numerals, and repetition of the description may be omitted.

[0019] Embodiment 1 Figure 1 shows an example of the configuration of a wireless communication system 100 according to Embodiment 1. The wireless communication system 100 includes a cellular base station (hereinafter referred to as "base station") 110 that performs wireless communication and a wireless data collection device 140. Here, we will explain using as an example the case in which the wireless data collection device 140 collects a reference signal 10 from the base station 110 using a method based on LTE / 5G.

[0020] The base station 110 transmits downlink signals (control signals, data signals, reference signals, and broadcast signals, etc.) to the user equipment 50 from one or more antenna ports. The downlink reference signal 10 (hereinafter referred to as the reference signal) is known and is used by the receiving side to derive propagation path information. In LTE, the reference signal 10 is Cell-specific RS (CRS), etc., and in 5G, it is CSI-RS, DM-RS, TRS, etc.

[0021] Propagation path information includes, but is not limited to, signal strength such as RSSI, received power such as RSRP (Reference Signal Received Power), and CSI.

[0022] The user device 50 is a mobile terminal such as a smartphone, or a fixed terminal such as a sensor equipped with wireless communication capabilities. The user device 50 may also be an AGV (Automated Guided Vehicle), AMR (Autonomous Mobile Robot), etc., equipped with wireless devices used in environments such as factories. The user device 50 transmits uplink signals (control signals, data signals, etc.) to the base station 110.

[0023] The wireless data acquisition device 140 sequentially acquires the reference signal 10 from the base station 110 using one or more antennas 143 (not shown). The wireless data acquisition device 140 performs A / D conversion, demodulation, etc. on the acquired reference signal 10.

[0024] The wireless data acquisition device 140 of this embodiment reduces non-feature parts by rounding the data obtained from the digital reference signal 10 (data of the received value of the reference signal 10, or data of propagation path information calculated from the reference signal 10). Specifically, in time-series data, the lower digits are truncated or rounded so that the number of digits of the data at each time point becomes a predetermined number of digits. By reducing the lower digits, which are non-feature parts, the data can be made smaller.

[0025] While there is no limit to the default number of digits used for rounding, it can be set to a number of digits that is effectively effective in channel quality estimation or object detection using propagation path information. This allows for maintaining the accuracy of channel quality estimation and object detection even when the lower digits are reduced.

[0026] Furthermore, the wireless data acquisition device 140 may perform optimization of the number of digits to a predetermined value. For example, the wireless data acquisition device 140 calculates propagation path information from the same reference signal 10 without rounding and propagation path information with rounding. The wireless data acquisition device 140 then determines the number of digits to which features of the propagation path information can be extracted based on the difference between the two, and sets this to a predetermined number of digits. The evaluation result of rounding may be output together with the calculation result of the normal propagation path information with rounding applied.

[0027] The method for optimizing the default number of digits is not limited to the examples described above. For example, in the wireless data collection device 140, the default number of digits may be optimized based on the communication quality of the propagation path.

[0028] Figure 2 illustrates a method for rounding data according to Embodiment 1. Here, we will explain the case where the number of digits is set to three and CSI data is rounded as an example. The wireless data acquisition device 140 rounds the fourth digit so that the number of digits of the real and imaginary parts of the CSI phase data becomes three.

[0029] Figure 3 is a block diagram of a wireless data collection device 140 according to Embodiment 1. The wireless data collection device 140 includes a propagation path information derivation circuit 142, a primary storage device 160, a secondary storage device 170, one or more antennas 143, and a receiving circuit 141.

[0030] The receiving circuit 141 performs a process (collection process) to sequentially collect the reference signal 10 using the antenna 143. Furthermore, the receiving circuit 141 performs A / D conversion, demodulation, etc. on the collected reference signal 10. The receiving circuit 141 temporarily stores the received value data of the digital reference signal 10 in the primary storage device 160.

[0031] The primary storage device 160 may be a volatile or non-volatile semiconductor memory such as RAM, ROM, or flash memory, or a magnetic disk, flexible disk, optical disk, DVD, etc. More preferably, the primary storage device 160 is a memory such as DRAM that allows high-speed access for data writing or data reading and is suitable for temporary data storage.

[0032] The propagation path information derivation circuit 142 reads the data of the reference signal 10 from the primary storage device 160. Furthermore, the propagation path information derivation circuit 142 performs a process (lightweighting process) to generate lightweight data by removing non-feature parts from the data of the reference signal 10. The lightweighting process in this embodiment is a process of rounding the data so that the number of digits becomes a predetermined number of digits. Furthermore, the propagation path information derivation circuit 142 calculates the propagation path information based on the lightweight data of the reference signal 10. By performing the calculation based on the lightweight data of the reference signal 10, the load on the calculation can be reduced.

[0033] For example, if the propagation path information is CSI, the propagation path information derivation circuit 142 calculates the difference between the lightweight reference signal 10 and the known signal to derive the CSI. The CSI includes amplitude information, phase information, phase difference information, timestamp information, and relative value information between antennas for the radio signal in the path between the antenna port of the base station 110 and the antenna 143 of the radio data collection device 140.

[0034] Furthermore, if the propagation path information is signal strength, the propagation path information derivation circuit 142 calculates the signal strength, such as RSSI, based on the lightweight reference signal 10 data.

[0035] The propagation path information derivation circuit 142 stores the lightweight reference signal 10 data and the propagation path information data in the secondary storage device 170.

[0036] The secondary storage device 170 may be, for example, a volatile or non-volatile semiconductor memory such as RAM, ROM, or flash memory, or a magnetic disk, flexible disk, optical disk, DVD, etc. Preferably, the secondary storage device 170 is a large-capacity non-volatile memory capable of non-temporary storage of data. The secondary storage device 170 may be located outside the wireless data collection device 140 as a server or cloud server.

[0037] In this way, the wireless data acquisition device 140 generates lightweight data by removing non-feature parts from the data obtained from the reference signal 10. The wireless data acquisition device 140 stores the lightweight data in the secondary storage device 170, which is a non-temporary storage device. This allows the data obtained from the reference signal 10 to be stored in the storage device after being made lightweight.

[0038] In the above explanation, the propagation path information derivation circuit 142 performs a data optimization process on the received value data of the reference signal 10 stored in the primary storage device 160. However, the data subject to the data optimization process may also be the propagation path information data obtained from the reference signal 10. Specifically, the propagation path information derivation circuit 142 calculates the propagation path information from the reference signal 10 data read from the primary storage device 160 and performs a data optimization process on the calculated propagation path information data. By storing the optimized propagation path information data in the secondary storage device 170, the same effect as described above can be obtained.

[0039] Furthermore, in the propagation path information derivation circuit 142, only propagation path information that is deemed to have large fluctuations as a result of singular value analysis may be stored in the secondary storage device 170. Alternatively, in the propagation path information derivation circuit 142, propagation path information calculated from the reference signal 10 may be stored in the secondary storage device 170 only when the signal strength of the underlying reference signal 10 is large. These methods enable the efficient collection of effective propagation path information.

[0040] Furthermore, the propagation path information derivation circuit 142 may delete a portion of the data of the reference signal 10 or the data of the propagation path information stored in the secondary storage device 170 based on a predetermined deletion ratio. The deletion ratio may be set, for example, based on past measurement results of the reference signal 10, or it may be set according to the performance of the secondary storage device 170.

[0041] Figure 4 shows the hardware configuration of the wireless data collection device 140 according to Embodiment 1. The processing performed by the wireless data collection device 140 may be executed by a program using a computer equipped with a CPU and memory, in which the wireless data collection program is stored. Alternatively, it may be executed by a program using an integrated circuit such as an FPGA (Field Programmable Gate Array). The wireless data collection program may be provided by recording it on a storage medium or by providing it over a network.

[0042] The wireless collection device 140 is composed of an input unit 40, an output unit 41, a communication unit 42, a CPU (Central Processing Unit, also referred to as a processor) 43, a memory 44, and an HDD (Hard Disk Drive) 45 connected via a bus 46, and has the functions of a computer. Also, the wireless collection device 140 is capable of inputting and outputting data to and from a computer-readable storage medium 47.

[0043] The input unit 40 is, for example, a keyboard and a mouse. The output unit 41 is, for example, a display device such as a display.

[0044] The communication unit 42 is, for example, a communication interface for communicating with the base station 110.

[0045] The memory 44 includes, for example, volatile or non-volatile semiconductor memories such as RAM, ROM, and flash memory, or magnetic disks, flexible disks, optical disks, DVDs, etc. The memory 44 and the HDD 45 are, for example, a primary storage device 160 and a secondary storage device 170.

[0046] The CPU 43 controls each part constituting the wireless collection device 140 and performs predetermined processing and the like.

[0047] The storage medium 47 is capable of storing a wireless collection program and the like for executing the functions of the wireless collection device 140. The storage medium 47 is a USB (Universal Serial Bus) memory, a CD-ROM (Compact Disc Read Only Memory), etc.

[0048] Note that the architecture constituting the wireless collection device 140 is not limited to the example shown in the figure.

[0049] FIG. 5 is a flowchart for explaining the processing executed by the CPU 43 of the wireless collection device 140 according to Embodiment 1. The CPU 43 reads a wireless collection program stored in the memory 44 or the HDD 45 and executes the following processing.

[0050] First, the receiving circuit 141 sequentially collects the reference signal 10 via the antenna 143 (step S01). Next, the receiving circuit 141 performs A / D conversion and demodulation on the received reference signal 10 (step S02). Next, the propagation path information derivation circuit 142 temporarily stores the demodulated digital reference signal 10 data in the primary storage device 160 (step S03). Next, the propagation path information derivation circuit 142 reads the reference signal 10 data from the primary storage device 160 (step S04). Finally, the propagation path information derivation circuit 142 performs a process (lightweighting process) to generate lightweight data by removing non-feature parts from the reference signal 10 data read from the primary storage device 160 (step S05). In this embodiment, the lightweighting process is a process of rounding the data so that the number of digits becomes a predetermined number of digits.

[0051] Furthermore, the propagation path information derivation circuit 142 calculates propagation path information based on the lightweight reference signal 10 data (step S06). Then, the propagation path information derivation circuit 142 stores the lightweight reference signal 10 data and the calculated propagation path information data in the secondary storage device 170 (step S07). Note that in step S07, the propagation path information derivation circuit 142 may store only the calculated propagation path information data in the secondary storage device 170.

[0052] Thus, the wireless data acquisition device 140 of this embodiment generates lightweight data by reducing non-feature parts from the data obtained from the reference signal 10. The wireless data acquisition device 140 stores the lightweight data in the secondary storage device 170, which is a non-temporary storage device. Therefore, the data obtained from the received wireless signal can be stored in the storage device after being made lightweight.

[0053] Furthermore, the signals collected by the wireless data collection device 140 are not limited to the reference signal 10, but may include other wireless signals such as control signals, data signals, and broadcast signals. Also, the data that the wireless data collection device 140 targets for data reduction processing is not limited to the received value data of the reference signal 10 or the propagation path information data calculated from the reference signal 10, but may include any data contained in the wireless signal. This is common to all embodiments.

[0054] In the above description, the base station 110 is a cellular base station, and the radio data collection device 140 collects the reference signal 10 from the base station 110 using a method based on LTE / 5G. However, the base station 110 in this disclosure is not limited to a cellular base station, and may also be a wireless LAN base station (access point). In this case, the radio data collection device 140 may collect the reference signal 10 from the base station 110 based on a communication standard such as IEEE 802.11ac / ax. This is common to all embodiments.

[0055] In Embodiment 2 and subsequent embodiments, the changes from Embodiment 1 will be described.

[0056] The configuration of the wireless communication system 100 in this embodiment is the same as in Embodiment 1. The base station 110 in this embodiment has two or more antenna ports. The reference signal 10 from the base station 110 includes the reference signals (hereinafter referred to as separate signals) for each of the two or more antenna ports.

[0057] The wireless data acquisition device 140 extracts individual signals from two antenna ports from the collected reference signal 10. The two antenna ports from which individual signals are to be extracted are, for example, the two antenna ports that transmitted individual signals at the most adjacent frequencies or times, or the two antenna ports that transmitted individual signals at the most distant frequencies or times, or the two antenna ports that transmitted individual signals separated by a predetermined interval in frequency or time.

[0058] Furthermore, the wireless data acquisition device 140 derives the difference between the data obtained from the individual signals of the two antenna ports and stores only the difference in the secondary storage device 170. By taking the difference, it is possible to create a single lightweight data set that includes the characteristics of the data from both antenna ports. Moreover, by taking the difference, non-feature parts such as noise contained in the data of a single antenna port can be reduced, and only the features can be extracted.

[0059] Figure 6 illustrates a method for determining the data difference between two antenna ports according to Embodiment 2. Here, the difference in CSI between the first antenna port and the second antenna port at the same time is calculated. When the propagation path information is CSI, the differences in amplitude and phase are calculated.

[0060] Figure 7 is a block diagram of the wireless data collection device 140 according to Embodiment 2. The propagation path information derivation circuit 142 extracts individual signals from two antenna ports from the collected reference signal 10. Furthermore, the wireless data collection device 140 calculates propagation path information from each of the individual signals of the two antenna ports and temporarily stores it in the primary storage device 160. The propagation path information derivation circuit 142 then reads the propagation path information for the two antenna ports from the primary storage device 160. Furthermore, the propagation path information derivation circuit 142 performs a process (lightweighting process) to generate lightweight data by removing non-feature parts from the data at the two antenna ports. The lightweighting process in this embodiment is a process that generates one lightweight data containing the features of two resource blocks by taking the difference between the data at the two antenna ports. The propagation path information derivation circuit 142 stores the generated lightweight data in the secondary storage device 170.

[0061] Furthermore, in the propagation path information derivation circuit 142, the difference may be calculated for the data of individual signals at the two antenna ports after separating them by a predetermined interval in frequency or time. This allows for consideration of the frequency and time differences between the antenna ports for the two individual signals.

[0062] Furthermore, the method for deriving the difference is not limited to taking the difference between the data from the two antenna ports. For example, the difference may be calculated by subtracting a predetermined standard data, the mean value, median, etc., of the data obtained from the two antenna ports from the data from the two antenna ports.

[0063] Figure 8 is a flowchart illustrating the processing performed by the CPU 43 of the wireless data collection device 140 according to Embodiment 2. First, the receiving circuit 141 collects a reference signal 10 from a base station 110 having two or more antenna ports (step S11). Furthermore, the receiving circuit 141 performs A / D conversion and demodulation on the reference signal 10 (step S12). In addition, the propagation path information derivation circuit 142 extracts individual signals from two antenna ports from the reference signal 10 and temporarily stores the data of the two individual signals in the primary storage device 160 (step S13).

[0064] Furthermore, the propagation path information derivation circuit 142 reads the individual signal data for the two antenna ports from the primary storage device 160 (step S14). The propagation path information derivation circuit 142 then performs a process (lightweighting process) to generate lightweight data by removing non-feature parts from the individual signal data for the two antenna ports read from the primary storage device 160 (step S15). In this embodiment, the lightweighting process is a process that generates one lightweight data containing the features of two resource blocks by taking the difference between the data for the two antenna ports.

[0065] Furthermore, the propagation path information derivation circuit 142 calculates propagation path information based on the lightweight data (step S16). Then, the propagation path information derivation circuit 142 stores the lightweight data and the calculated propagation path information data in the secondary storage device 170 (step S17). Note that in step S17, the propagation path information derivation circuit 142 may store only the calculated propagation path information data in the secondary storage device 170.

[0066] Furthermore, the method for creating lightweight data that includes the characteristics of data obtained from multiple antenna ports is not limited to the difference method described above. For example, one may create a single lightweight data set that includes the characteristics of the data from each antenna port by taking the sum, quotient, and division of the data obtained from multiple antenna ports.

[0067] In Embodiment 3 and subsequent embodiments, the changes from Embodiment 1 will be described.

[0068] The configuration of the wireless communication system 100 in this embodiment is the same as in Embodiment 1. The wireless data acquisition device 140 in this embodiment reduces non-feature parts by performing moving smoothing on time-series data obtained from a digital reference signal 10 (time-series data of the received value of the reference signal 10, or time-series data of propagation path information calculated from the reference signal 10). Specifically, the wireless data acquisition device 140 reads the time-series data stored in the primary storage device 160 and obtains smoothing values ​​for each time window of the time-series data while shifting the time window. Furthermore, the wireless data acquisition device 140 stores the obtained moving smoothing values ​​as lightweight data in the secondary storage device 170. Here, the smoothing value is the mean, standard deviation, variance, mode, etc., but is not limited to these.

[0069] Figure 9 illustrates a method for moving smoothing data according to Embodiment 3. Here, we will explain the case of smoothing CSI time series data. The wireless data acquisition device 140 sets a time window by shifting two or more data points included in the time series data, and calculates a smoothing value for the data that fits within each time window to obtain a moving smoothing value.

[0070] In the example shown in Figure 9, time windows, each containing three data points, are set with a two-point shift in the data. For the seven data points from n1 to n7, three time windows are set, and three smoothing values ​​m1, m2, and m3 are obtained. The wireless data acquisition device 140 stores the obtained moving smoothing values ​​m1, m2, and m3 as lightweight data in the secondary storage device 170. By performing moving smoothing in this way, non-feature parts can be reduced from the data, and the data can be stored in the storage device in a lightweight form.

[0071] Furthermore, the number of data points contained in each time window and the number of data points shifted between time windows may be changed depending on the wireless communication environment. For example, if the time series data is time series data of CSI collected for object detection, the number of these data points may be reduced as the movement of the detected object decreases. Alternatively, the number of data points shifted between time windows may be reduced as the variance value in each time window increases.

[0072] As described above, this disclosure generates lightweight data by removing non-feature parts from data obtained from collected wireless signals, and stores the lightweight data in a secondary storage device, which is a non-temporary storage device. Therefore, it is possible to provide a wireless communication system 100, a wireless data acquisition device 140, a wireless communication method, and a wireless data acquisition program that can store data obtained from received wireless signals in a storage device after making the data lightweight.

[0073] This disclosure is not limited to the embodiments described above, and various modifications can be made during implementation without departing from its essence. Furthermore, each embodiment and its modifications may be combined as appropriate, and in that case, the combined effects can be obtained.

[0074] 10: Reference signal 40: Input unit 41: Output unit 42: Communication unit 43: CPU 44: Memory 45: HDD 46: Bus 47: Storage medium 50: User device 100: Wireless communication system 110: Base station 140: Wireless data collection device 141: Receiving circuit 142: Propagation path information extraction circuit 143: Antenna 160: Primary storage device 170: Secondary storage device

Claims

1. A wireless communication system comprising: a base station that transmits wireless signals; and a wireless data collection device, wherein the wireless data collection device comprises a primary storage device capable of temporarily storing data and a secondary storage device capable of non-temporarily storing data; and is configured to perform: a collection process for sequentially collecting the wireless signals; a process for temporarily storing the data obtained from the collected wireless signals in the primary storage device; a lightweighting process for generating lightweight data by removing non-feature parts from the data read from the primary storage device; and a process for storing the lightweight data in the secondary storage device.

2. The wireless communication system according to claim 1, wherein the base station has a plurality of antenna ports, the wireless signal includes signals from the plurality of antenna ports, the primary storage device stores the data from the plurality of antenna ports extracted from the wireless signal, and the lightweighting process is a process of creating one lightweight data including the characteristics of the plurality of data obtained from the plurality of antenna ports.

3. The wireless communication system according to claim 1 or 2, wherein the data is the received value of the wireless signal or data of propagation path information calculated from the wireless signal.

4. The wireless communication system according to claim 1, wherein the weight reduction process is a process of rounding the number of digits of the data so that it becomes a predetermined number of digits.

5. The wireless communication system according to claim 1, wherein the primary storage device stores time-series data consisting of data that occurs in a time series, and the lightweighting process involves setting a time window by shifting two or more data points included in the time-series data, and calculating a smoothing value for the data that fits within each of the time windows to obtain a moving smoothing value.

6. A wireless data acquisition device comprising a primary storage device capable of temporarily storing data and a secondary storage device capable of non-temporarily storing data, configured to perform: an acquisition process for sequentially collecting wireless signals; a process for temporarily storing data obtained from the collected wireless signals in the primary storage device; a lightweighting process for generating lightweight data by removing non-feature parts from the data read from the primary storage device; and a process for storing the lightweight data in the secondary storage device.

7. A wireless communication method comprising: sequentially collecting wireless signals; storing data obtained from the collected wireless signals in a primary storage device capable of temporary storage; generating lightweight data by removing non-feature parts from the data read from the primary storage device; and storing the lightweight data in a secondary storage device capable of non-temporary storage.

8. A wireless data acquisition program to be executed by a wireless data acquisition device having a primary storage device capable of temporarily storing data and a secondary storage device capable of non-temporarily storing data, the program including a program that causes the wireless data acquisition device to execute: a collection process for sequentially collecting wireless signals; a process for temporarily storing data obtained from the collected wireless signals in the primary storage device; a lightweighting process for generating lightweight data by removing non-feature parts from the data read from the primary storage device; and a process for storing the lightweight data in the secondary storage device.

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