System for detecting operator 5G user proportion

Abstract

The invention discloses a system for detecting the 5G user proportion of an operator. The system can detect the user proportions of different operators in the same area. In order to achieve the purpose, the solution of the invention is as follows: the system for detecting the 5G user proportion of the operator comprises a signal acquisition and processing module, a signal analysis module and a data analysis module, the signal acquisition and processing module is used for receiving 5G air interface signals of operators and converting the 5G air interface signals into digital signals; the signal analysis module is used for performing time-frequency synchronization, uplink and downlink time slot matching and uplink data cutting on the digital signal, wherein the uplink and downlink time slot matching mode comprises at least one of static configuration and dynamic acquisition; and the data analysis module is configured in a local device or a far-end server, and dynamic statistics of operator user proportions is realized in a frequency spectrum detection and analysis mode.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communication, and particularly refers to a system for detecting the proportion of 5G users of operators. Background Art

[0002] 5G, as a new generation of widely covered communication network, its efficient operation and optimization are crucial for operators. By analyzing the proportion of its own 5G users, operators can evaluate their competitiveness in the market and the development trend of their business. In addition, comparing the 5G user data of different operators can provide deeper market insights for the communication industry. Through this comparative analysis, operators can identify the differences from their competitors in aspects such as user acquisition and service coverage, and then optimize the network layout, adjust marketing strategies, and improve service quality accordingly.

[0003] However, different operators adopt different clock synchronization schemes. Some operators use the Global Positioning System (GPS) for precise time synchronization, obtaining a high-precision time reference through satellite signals to calibrate the clocks of network devices; while others rely on high-precision time synchronization protocols based on the terrestrial network, transmitting precise time information through network links to achieve clock synchronization of all network devices. Although these different clock synchronization schemes aim to ensure the synchronization of the communication network, due to their differences in implementation methods, precision, reliability, and the degree of influence by the environment, it brings great challenges to the detection of the proportion of 5G users across operators. When detecting the proportion of users, it is necessary to fully consider the impact of different clock synchronization schemes on aspects such as signal transmission time and data acquisition time to ensure the accuracy and reliability of the detection results.

[0004] Therefore, there is currently a lack of a system that can accurately and efficiently detect the proportion of 5G users of operators and achieve comparative analysis of data of different operators. Summary of the Invention

[0005] The main purpose of the present invention is to provide a system for detecting the proportion of 5G users of operators, which can solve the problems in the prior art and detect the proportion of users of different operators in the same area.

[0006] To achieve the above object, the solution of the present invention is: A system for detecting the proportion of operator 5G users, including a signal acquisition and processing module, a signal parsing module, and a data analysis module; the signal acquisition and processing module is used to receive 5G air interface signals of each operator and convert and process them into digital signals; the signal parsing module is used to perform time-frequency synchronization, uplink and downlink time slot ratio matching, and clip uplink data on the digital signals, wherein the way of uplink and downlink time slot ratio matching includes at least one of static configuration and dynamic acquisition; the data analysis module is configured in a local device or a remote server, and realizes the dynamic statistics of the proportion of operator users through spectrum detection and analysis.

[0007] The signal acquisition and processing module includes a radio frequency receiving unit, a signal preprocessing unit, and an ADC unit; the radio frequency receiving unit includes an amplifier, and the covered frequency band is 2.5~4.9GHz; the signal preprocessing unit performs down-conversion processing on the received signals according to the frequency bands of each operator; the ADC unit converts the processed signals into 5G digital baseband signals.

[0008] The signal parsing module includes a time synchronization unit, a system message parsing unit, and an uplink data clipping unit; the time synchronization unit uses PSS and SSS to realize the time-frequency synchronization of 5G digital baseband signals; the system message parsing unit is used to parse the uplink and downlink time slot ratio of 5G digital baseband signals; the uplink data clipping unit clips the uplink time slot data from the synchronized signals according to the uplink and downlink time slot ratio.

[0009] Preferably, the process executed by the time synchronization unit is PSS detection and synchronization, SSS detection and synchronization; the dynamic acquisition of the uplink and downlink time slot ratio is through system message parsing, and the TDD-UL-DL-ConfigCommon information element is obtained by parsing MIB and SIB1 in sequence to obtain different uplink and downlink time slot ratios of each operator; the static configuration of the uplink and downlink time slot ratio is preset in the system according to actual requirements.

[0010] The data analysis module first performs FFT and spectrum analysis on the uplink time slot data, extracts the number of RBs occupied by user equipment in the uplink frequency band of each operator and the power spectral density, calculates the user spectrum occupancy rate of each operator within a preset time window, and the spectrum occupancy rate is the ratio of the number of allocated RBs to the total number of available RBs; finally, the data analysis module generates the proportion results of different operator users according to the spectrum occupancy rate of each operator.

[0011] After adopting the above technical solution, the present invention has the following technical effects: The present invention first proposes a method for detecting the proportion of operator users based on monitoring uplink data. Through the dynamic correlation statistics of air interface signal parsing and physical layer resource granularity, it breaks through the limitation of traditional signaling-level monitoring relying on terminal reporting, realizes the signaling-free statistical quantification of multi-operator user behavior in complex wireless scenarios, and provides a new technical implementation path for spectrum sharing, cross-network resource scheduling, and dynamic network load assessment. Brief Description of the Drawings

[0012] Figure 1 It is a system flowchart of a specific embodiment of the present invention.

[0013] Figure 2 It is a spectrum distribution map of domestic operator 5G resources according to the present invention. Detailed Embodiment

[0014] In order to further explain the technical solution of the present invention, the present invention will be elaborated in detail through specific embodiments below.

[0015] Refer to Figure 1 As shown, the present invention discloses a system for detecting the proportion of operator 5G users, including a signal acquisition and processing module, a signal parsing module, and a data analysis module; the signal acquisition and processing module is used to receive 5G air interface signals of each operator and convert and process them into digital signals; the signal parsing module is used to perform time-frequency synchronization, uplink and downlink time slot ratio, and clip uplink data on the digital signals, and the uplink and downlink time slot ratio methods include at least one of static configuration and dynamic acquisition; the data analysis module is configured in a local device or a remote server, and realizes the dynamic statistics of the proportion of operator users through spectrum detection and analysis.

[0016] Based on the above system, each module is introduced in detail as follows: The above signal acquisition and processing module includes a radio frequency receiving unit, a signal preprocessing unit, and an ADC unit; the radio frequency receiving unit includes an amplifier, which has wide-band receiving capabilities, and the covered frequency band is 2.5 - 4.9 GHz to implement the 5G frequency bands of domestic operators, and is used to capture 5G air interface signals of each operator. For the spectrum distribution map of domestic operator 5G resources based on TDD, refer to Figure 2 ; the signal preprocessing unit performs down-conversion processing on the received signals according to the frequency bands of each operator; the ADC unit converts the processed signals into 5G digital baseband signals.

[0017] The above signal parsing module includes a time synchronization unit, a system message parsing unit, and an uplink data clipping unit; the time synchronization unit uses the PSS (Primary Synchronization Signal) and the SSS (Secondary Synchronization Signal) to achieve the time-frequency synchronization of the 5G digital baseband signal; the system message parsing unit is used to parse the uplink and downlink time slot ratios of the 5G digital baseband signal; the uplink data clipping unit clips the uplink time slot data from the synchronized signal according to the uplink and downlink time slot ratios.

[0018] Specifically, the processes executed by the above time synchronization unit are PSS detection and synchronization, and SSS detection and synchronization; the dynamic acquisition of the uplink and downlink time slot ratios is obtained through system message parsing, and the TDD-UL-DL-ConfigCommon information element is parsed by parsing the MIB (Master Information Block) and the SIB1 (System Information Block 1) in sequence to obtain the uplink and downlink time slot ratios of different operators; the static configuration of the uplink and downlink time slot ratios is preset in the system according to actual requirements.

[0019] The above data analysis module is the core computing part of the entire system, which can be configured in a local device or a remote server, independently statistically analyzes the data of each operator, and finally statistically obtains the user proportion results of multiple operators. Specifically, the above data analysis module first performs FFT (Fourier transform) and spectrum analysis on the uplink time slot data, extracts the number of RBs (Resource Blocks) occupied by user equipment in the uplink frequency band of each operator and the power spectral density, calculates the user spectrum occupancy rate of each operator within a preset time window, and this spectrum occupancy rate is the ratio of the number of allocated RBs to the total number of available RBs; finally, the data analysis module generates the user proportion results of different operators according to the spectrum occupancy rates of each operator.

[0020] The following shows specific embodiments of the present invention.

[0021] (1) Data acquisition First, before starting to collect data, a detailed data collection plan needs to be formulated for different operators. Since the 5G frequency bands of different operators are different, the signal acquisition and processing module needs to set different local oscillator frequencies according to these frequency bands. The following are the specific steps for formulating the data collection plan: ① Determine the operator frequency band Reference Figure 2As shown, it is the 5G resource spectrum distribution map based on TDD of domestic operators. According to this map, the present invention can be used to collect several 5G frequency bands such as n41, n77, n78, and n79.

[0022] ② Plan the data collection time and period According to the actual requirements and monitoring purposes, determine the data collection time and period. For example, data collection can be selected at different time periods of a day (such as peak hours and off-peak hours) to comprehensively understand the user occupancy ratio in different periods. The data collection period can be set to every hour, every half day, or every day, etc.

[0023] ③ Set the local oscillator frequency It is necessary to set the corresponding local oscillator frequency for the signal preprocessing unit according to the data collection plan and the frequency bands of each operator. Suppose the frequency band of the operator is , then the setting of the local oscillator frequency of the operator needs to meet the requirement of converting the signal in this frequency band to the corresponding intermediate frequency , and the calculation formula adopted is , where is the frequency of the input radio frequency signal. For example, for the n41 frequency band of China Mobile, its corresponding intermediate frequency is 100 MHz, then the local oscillator frequency is 2565 MHz.

[0024] (2) Data parsing Secondly, install the system of the present invention in the area to be detected, such as urban commercial areas, large venues, etc. The system starts to receive 5G air interface signals from different operators, and obtains 5G digital baseband signals through frequency conversion preprocessing and ADC. The processing steps of the signal parsing module for the 5G digital baseband signal are as follows: ① Time synchronization Realize time synchronization by demodulating PSS and SSS. Suppose the received PSS signal is , the locally generated PSS sequence is , calculate the correlation function , where is the sequence length, is the delay time, and the superscript represents conjugate, and thus calculate the position of the maximum correlation peak to determine the symbol boundary and compensate for the symbol-level clock deviation; similarly, perform correlation function calculation on the SSS signal , calculate and obtain , is the received SSS signal, It is the SSS sequence generated locally; then, by combining the SFN and the half-frame indication in the PBCH, the frame start position is determined to complete the full-frame timing alignment. According to the number of slot symbols defined in the 5G NR protocol , the clock deviation amount is calculated to achieve time-domain deviation compensation.

[0025] ② Uplink and downlink slot ratio acquisition The uplink and downlink slot ratio supports two methods: dynamic acquisition and static configuration. Dynamic acquisition is to parse the system message, and parse the MIB and SIB1 in sequence to obtain the TDD-UL-DL-ConfigCommon information element, and obtain the uplink and downlink slot ratios of different operators; static configuration can be set in advance according to actual needs.

[0026] ③ Uplink data clipping According to the obtained uplink and downlink slot ratio information, the uplink slot data is clipped from the synchronization signal, and the clipped uplink slot data is stored according to the operator label.

[0027] (3)Data analysis Finally, data analysis is performed on the stored uplink slot data of each operator in the data analysis module. First, to calculate the user spectrum occupancy rate, it is necessary to perform FFT on the uplink slot data of the operator to obtain the frequency-domain subcarrier signal. Each RB contains a fixed number of consecutive subcarriers, and then the energy of each RB is calculated , is the total number of available RBs for the operator in the uplink. If , then the usage situation of the th uplink RB is recorded as 1, otherwise 0, where is the empirical threshold parameter, is the average noise energy, then the number of RBs used for the uplink data is calculated as follows: ; At this time, the user spectrum occupancy rate of the operator can be defined as . The sliding window method is used to dynamically aggregate the user spectrum occupancy rate in different time periods. Let the size of the sliding window be time periods, and in each time period , the average user spectrum occupancy rate of the operator in the current window is: ; Finally, the user proportion result of each operator is .

[0028] Through the above solution, the present invention first proposes a method for detecting the proportion of operator users based on monitoring uplink data. By dynamically correlating and statistically analyzing the parsing of air interface signals and the physical layer resource granularity, it breaks through the limitation of traditional signaling-level monitoring relying on terminal reporting, realizes the signaling-free statistical quantification of multi-operator user behavior in complex wireless scenarios, and provides a new technical implementation path for spectrum sharing, cross-network resource scheduling, and dynamic network load assessment. Specifically, the present invention has the following beneficial effects: (1) Effectively solves the problems brought by the differences in the base station clock synchronization schemes of different operators, ensuring the accuracy of data collection and processing; at the same time, the precise uplink data clipping and dynamic calculation methods further improve the accuracy of the detection results of the proportion of operator users; (2) The signal acquisition and processing module has the ability to receive wide-band signals, and can receive 5G air interface signals of different operators; the signal parsing module supports static configuration and dynamic acquisition of the uplink and downlink time slot ratios of each operator, and can perform targeted processing on the signals of different operators, realizing the compatible processing of data of different operators; the data analysis module adopts efficient data processing and calculation methods, and can accurately count the results of the proportion of operator users.

[0029] The above embodiments and diagrams do not limit the product form and style of the present invention. Any appropriate changes or modifications made by those of ordinary skill in the technical field to which the present invention pertains shall be regarded as not departing from the patent scope of the present invention.

Claims

1. A system for detecting the proportion of carrier 5G users, characterized in that: It includes a signal acquisition and processing module, a signal parsing module and a data analysis module; The signal acquisition and processing module is used to receive the 5G air interface signals of each carrier and convert and process them into digital signals; The signal parsing module is used for time-frequency synchronization, uplink and downlink time slot ratio matching and cropping uplink data of the digital signal, wherein the way of uplink and downlink time slot ratio matching includes at least one of static configuration and dynamic acquisition; The data analysis module is configured in a local device or a remote server, and realizes the dynamic statistics of the proportion of carrier users through spectrum detection and analysis.

2. The system for detecting the proportion of carrier 5G users according to claim 1, characterized in that: The signal acquisition and processing module includes a radio frequency receiving unit, a signal preprocessing unit and an ADC unit; the radio frequency receiving unit includes an amplifier, and the covered frequency band is 2.5 - 4.9 GHz; the signal preprocessing unit performs down-conversion processing on the received signal according to the frequency bands of each carrier; the ADC unit converts the processed signal into a 5G digital baseband signal.

3. The system for detecting the proportion of carrier 5G users according to claim 1, characterized in that: The signal parsing module includes a time synchronization unit, a system message parsing unit and an uplink data cropping unit; the time synchronization unit uses PSS and SSS to realize the time-frequency synchronization of the 5G digital baseband signal; the system message parsing unit is used to parse the uplink and downlink time slot ratio of the 5G digital baseband signal; the uplink data cropping unit crops the uplink time slot data from the synchronized signal according to the uplink and downlink time slot ratio.

4. The system for detecting the proportion of carrier 5G users according to claim 3, characterized in that: The process executed by the time synchronization unit is PSS detection and synchronization, SSS detection and synchronization; the dynamic acquisition of the uplink and downlink time slot ratio is through system message parsing, parsing MIB and SIB1 in sequence to obtain the TDD-UL-DL-ConfigCommon information element, and obtaining different uplink and downlink time slot ratios of each carrier; the static configuration of the uplink and downlink time slot ratio is preset in the system according to actual requirements.

5. The system for detecting the proportion of carrier 5G users according to claim 1, characterized in that: The data analysis module first performs FFT and spectrum analysis on the uplink time slot data, extracts the number of RBs occupied by user equipment in the uplink frequency band of each carrier and the power spectral density, calculates the user spectrum occupancy rate of each carrier within a preset time window, and this spectrum occupancy rate is the ratio of the number of allocated RBs to the total number of available RBs; finally, the data analysis module generates the proportion results of different carrier users according to the spectrum occupancy rate of each carrier.

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