A Dynamic Decision-Making Method for Spectrum Detection Window in Mobile 5G Communication Systems

Abstract

This invention belongs to the field of wireless communication technology and relates to a dynamic decision-making method for the spectrum detection window of a mobile 5G communication system. The method includes: initializing the spectrum detection window; statistically analyzing the average bit error rate and average channel quality of the current mobile 5G communication system and calculating the interference impact factor X; collecting time-domain IQ data within the spectrum detection window of the current mobile 5G communication system and calculating the interference transformation factor Y based on the collected time-domain IQ data; acquiring the base station's moving speed information in the current mobile 5G communication system and calculating the environmental change factor Z; calculating the adjustment amount M of the spectrum detection window based on the interference impact factor X, the interference transformation factor Y, and the environmental change factor Z; and updating the spectrum detection window of the current mobile 5G communication system based on the adjustment amount M. This invention utilizes a mechanism to dynamically determine the width of the spectrum detection window based on interference intensity, user communication quality, and base station movement status to achieve the optimal balance between anti-interference capability and service performance.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication technology and relates to a dynamic decision-making method for spectrum detection windows in mobile 5G communication systems. Background Technology

[0002] With the application of 5G communication technology in special command, emergency rescue, and tactical internet, 5G systems based on low-frequency bands such as N28 (700MHz) have become the preferred frequency band for mobile communication due to their excellent wide coverage and diffraction capabilities. However, the N28 band typically uses FDD (Frequency Division Duplex) technology, where the base station's transmission and reception bands differ. In complex electromagnetic environments, to detect the entire frequency band (especially whether the downlink band is disturbed or whether there is covert interference in the uplink band), base stations often need to temporarily disable their transmission function and use a quiet period as a spectrum detection window to perform a full-band scan.

[0003] In existing mobile 5G systems, the spectrum detection window is typically configured with a fixed duration. This static configuration has significant drawbacks:

[0004] 1) Poor environmental adaptability: The electromagnetic environment in which mobile base stations operate is complex and variable. When there is strong interference or the interference signal has frequency hopping or pulse characteristics, a fixed short window can easily lead to "missed detection" or inaccurate identification of interference characteristics;

[0005] 2) Waste of resources: When the electromagnetic environment changes from harsh to clean, or when the base station is moving at high speed and the channel correlation time becomes shorter, an excessively long detection window will needlessly occupy valuable communication time slots, resulting in a decrease in system throughput and an increase in latency.

[0006] Therefore, there is an urgent need for a mechanism that can dynamically determine the width of the spectrum detection window based on interference intensity, user communication quality, and base station motion status, so as to achieve the best balance between anti-interference capability and service performance. Summary of the Invention

[0007] To address the aforementioned problems in the prior art, this invention employs a dynamic decision-making method for spectrum detection windows in mobile 5G communication systems, comprising:

[0008] S1. Initialize the spectrum detection window of the mobile 5G communication system;

[0009] S2. Calculate the average bit error rate and average channel quality of the current mobile 5G communication system, and calculate the interference impact X based on the average bit error rate and average channel quality.

[0010] S3. Collect time-domain IQ data within the spectrum detection window of the current mobile 5G communication system, and calculate the interference transformation degree Y based on the collected time-domain IQ data;

[0011] S4. Obtain the moving speed information of the base station in the current mobile 5G communication system, and calculate the environmental change degree Z based on the moving speed information of the base station;

[0012] S5. Calculate the adjustment amount M of the spectrum detection window based on the interference impact degree X, interference transformation degree Y, and environmental change degree Z;

[0013] S6. Update the spectrum detection window of the current mobile 5G communication system according to the adjustment amount M.

[0014] Beneficial effects:

[0015] This invention statistically analyzes the average bit error rate (BER) and average channel quality (CQ) of a mobile 5G communication system. Based on these BER and CQ, it calculates the interference impact factor (X). Within the spectrum detection window of the current mobile 5G communication system, it collects time-domain IQ data and calculates the interference transformation factor (Y) based on the collected IQ data. It then obtains the base station's mobile speed information and calculates the environmental change factor (Z) based on the base station's mobile speed information. Finally, it dynamically determines the spectrum detection window width based on the interference impact factor (X), interference transformation factor (Y), and environmental change factor (Z) to achieve the optimal balance between anti-interference capability and service performance. This allows for extending the window in harsh interference environments to prevent missed detections and shortening the window in stable environments to reduce time slot waste, effectively improving the anti-interference performance and resource utilization of the mobile 5G system. Attached Figure Description

[0016] Figure 1 This invention provides a dynamic decision-making method for spectrum detection windows in mobile 5G communication systems. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, this embodiment of the invention employs a dynamic decision-making method for spectrum detection windows in a mobile 5G communication system, comprising:

[0019] S1. Set the initial spectrum detection window value Based on the initial spectrum detection window value Initialize the spectrum detection window;

[0020] The mobile 5G communication system includes: a base station, users, and a radio access network for interaction between the base station and users; when the base station of the mobile 5G communication system is started or reset, the system loads default configuration parameters. In this embodiment, an initial spectrum detection window value is set. The maximum spectrum detection window value is 2ms. The minimum spectral detection window value is 5ms. The timeout is 0.2ms, and the business impact weight is set simultaneously. =0.5, interference feature weight =0.3, environmental change weight =0.2, detection cycle It takes 1 second.

[0021] S2. Calculate the average bit error rate and average channel quality of the current mobile 5G communication system, and calculate the interference impact X based on the average bit error rate and average channel quality.

[0022] The statistics on the average bit error rate and average channel quality of the current mobile 5G communication system include: setting the detection period. During the testing cycle Within the current mobile 5G communication system, the MAC layer scheduler of the radio access network collects the ACK / NACK status and CQI measurement reports of uplink transmission blocks from all users on the network. Based on the ACK / NACK status and CQI measurement reports, the system calculates the ACK / NACK status and CQI measurement reports of all users on the network during the detection period. Average bit error rate within With average channel quality .

[0023] The interference impact factor X is calculated based on the average bit error rate and average channel quality, including: calculating the interference strength index. ;in, and The normalization coefficient is based on the interference intensity index. Calculate the interference impact degree X, which varies with the interference intensity index. The interference impact degree X increases with the increase of [the value], reflecting the actual degree of damage that the current interference causes to the business level; preferably, [the value] increases with the increase of [the value], and the interference impact degree X reflects the actual degree of damage that the current interference causes to the business level; preferably, [the value] increases with the increase of [the value] ... =10, =5.

[0024] As shown in Table 1, according to the interference intensity index Calculating the interference impact factor X includes: setting the interference intensity index. The minimum value (-30), the median value (0), and the maximum value (20) of the interference intensity index; When the value is less than the minimum, the interference impact X is 0.1; when the interference intensity index... When the interference intensity index is greater than or equal to the minimum value and less than the median value, the interference impact degree X is 0; When the value is greater than or equal to the median value and less than the maximum value, the interference impact X is 0.2; when the interference intensity index... When the value is greater than or equal to the maximum value, the interference influence X is 0.5.

[0025] Table 1. Interference Influence Degree X Mapping Table

[0026]

[0027] S3. Collect time-domain IQ data within the spectrum detection window of the current mobile 5G communication system, and calculate the interference transformation degree Y based on the collected time-domain IQ data;

[0028] IQ data (In-phase / Quadrature data) is the baseband digital signal after down-conversion of the RF signal, and it is the core raw data for spectrum detection; the calculation of the interference transform degree Y includes:

[0029] During the receiver idle period within the detection period, an N(2048)-point FFT transform is performed on the acquired time-domain IQ data to obtain the frequency-domain data for each frequency point k. Based on the frequency domain data of each frequency point k Calculate the frequency domain power spectral density at each frequency point k. Where N is the total number of frequency points;

[0030] Frequency domain power spectral density at N frequency points After sorting, take the median to obtain the noise floor level. Extracting the frequency domain power spectral density at N frequency points Higher than The frequency point that satisfies The frequency points are used to obtain the set of interference frequency points. ; The preset power spectral density threshold is used; preferably, ;

[0031] According to the interference set Power spectral density and noise floor at mid-frequency points Calculate the interference ratio (INR), INR = ,in, For interference set The power spectral density at the interference frequency k;

[0032] According to the interference set The interference bandwidth ratio is calculated based on the number of frequency points and the total number of frequency points N. , ,in Set of interference frequencies The number of frequency points in The total number of frequency points in the FFT transform is 2048.

[0033] Based on the interference-to-noise ratio (INR) and the proportion of interference bandwidth The interference transformation degree Y is calculated, which reflects the physical layer characteristics of the electromagnetic environment.

[0034] As shown in Table 2, based on the interference-to-noise ratio (INR) and the proportion of interference bandwidth... Calculating the interference transformation degree Y includes: setting the interference-to-noise ratio. Set the weak interference threshold (3dB) and strong interference threshold (8dB); set the interference bandwidth ratio. The broadband coverage threshold (10%); when the interference ratio... When the interference is less than or equal to the weak interference threshold, the interference transformation degree Y is -0.1; when the interference-to-noise ratio is... Greater than the weak interference threshold and less than or equal to the strong interference threshold, and the interference bandwidth ratio When the bandwidth ratio is less than or equal to the bandwidth threshold, the interference transformation degree Y is 0; when the interference-to-noise ratio is... Greater than the strong interference threshold, and the proportion of interference bandwidth When the bandwidth ratio is less than or equal to the bandwidth ratio threshold, the interference transformation degree Y is 0.1; when the interference bandwidth ratio is less than or equal to the bandwidth ratio threshold, the interference transformation degree Y is 0.1. When the interference transformation degree Y is greater than the broadband ratio threshold, the result is 0.3.

[0035] Table 2. Interference Transformation Degree Y Logic Mapping Table

[0036]

[0037] S4. Obtain the moving speed information of the base station in the current mobile 5G communication system, and calculate the environmental change degree Z based on the moving speed information of the base station; this reflects the impact of spatial location changes on channel coherence time and the relative position of interference sources.

[0038] The base station uses a BeiDou / GPS positioning module to acquire the current ground speed V (km / h) of the base station once per second. As shown in Table 3, the environmental change degree Z is calculated based on the base station's moving speed information V, including setting the minimum value (0), intermediate value (10), and maximum value (60) of the moving speed information V. When the base station's moving speed information V is greater than or equal to the minimum value and less than the intermediate value, the environmental change degree Z is 0. When the base station's moving speed information V is greater than or equal to the intermediate value and less than the maximum value, the environmental change degree Z is 0.1. When the base station's moving speed information V is greater than or equal to the maximum value, the environmental change degree Z is -0.2.

[0039] Table 3. Mapping Table of Environmental Change Degree Z

[0040]

[0041] S5. Calculate the adjustment amount M of the spectrum detection window based on the interference impact degree X, interference transformation degree Y, and environmental change degree Z;

[0042] The adjustment amount M for calculating the spectrum detection window includes: ;in, These are the weights of each item.

[0043] S6. Update the spectrum detection window in the current mobile 5G communication system according to the adjustment amount M.

[0044] Updating the spectrum detection window in the current mobile 5G communication system based on the adjustment amount M includes: calculating the adjusted spectrum detection window value based on the adjustment amount M. If the adjusted spectrum detection window value Less than the preset minimum spectrum detection window value Then the spectrum detection window in the current mobile 5G communication system will be updated to the minimum spectrum detection window value. If the adjusted spectrum detection window value Greater than the preset maximum spectrum detection window value Then the spectrum detection window in the current mobile 5G communication system will be updated to the maximum spectrum detection window value. Otherwise, update the spectrum detection window in the current mobile 5G communication system to the adjusted spectrum detection window value. .

[0045] Spectrum detection can be performed using the updated spectrum detection window.

[0046] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A dynamic decision-making method for spectrum detection windows in mobile 5G communication systems, characterized in that, include: S1. Initialize the spectrum detection window of the mobile 5G communication system; S2. Calculate the average bit error rate and average channel quality of the current mobile 5G communication system, and calculate the interference impact X based on the average bit error rate and average channel quality. S3. Collect time-domain IQ data within the spectrum detection window of the current mobile 5G communication system, and calculate the interference transformation degree Y based on the collected time-domain IQ data; wherein, the IQ data is in-phase orthogonal data; S4. Obtain the moving speed information of the base station in the current mobile 5G communication system, and calculate the environmental change degree Z based on the moving speed information of the base station; S5. Calculate the adjustment amount M of the spectrum detection window based on the interference impact degree X, interference transformation degree Y, and environmental change degree Z; S6. Update the spectrum detection window of the current mobile 5G communication system according to the adjustment amount M.

2. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 1, characterized in that, The interference impact factor X is calculated based on the average bit error rate and average channel quality, including: calculating the interference intensity index based on the average bit error rate and average channel quality. According to the interference intensity index Calculate the interference impact degree X.

3. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 2, characterized in that, Interference Intensity Index ;in, , These are the weighting coefficients. The average bit error rate, This represents the average channel quality.

4. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 2, characterized in that, According to the interference intensity index Calculating the interference impact factor X includes: setting the interference intensity index. The minimum, median, and maximum values ​​of the interference intensity index; When the value is less than the minimum, the interference impact X is 0.1; when the interference intensity index... When the interference intensity index is greater than or equal to the minimum value and less than the median value, the interference impact degree X is 0; When the value is greater than or equal to the median value and less than the maximum value, the interference impact X is 0.2; when the interference intensity index... When the value is greater than or equal to the maximum value, the interference influence X is 0.

5.

5. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 1, characterized in that, The calculation of the interference transformation degree Y includes: Perform an N-point FFT transform on the acquired time-domain IQ data to obtain the frequency-domain data for each frequency point k. Based on the frequency domain data of each frequency point k Calculate the frequency domain power spectral density at each frequency point k. Where N is the total number of frequency points; Frequency domain power spectral density at N frequency points After sorting, take the median to obtain the noise floor level. Extracting the frequency domain power spectral density at N frequency points Higher than The frequency points are used to obtain the set of interference frequency points. ;in, The preset power spectral density threshold; According to the interference set Power spectral density and noise floor at mid-frequency points Calculate the interference-to-noise ratio (INR) based on the interference set. The interference bandwidth ratio is calculated based on the number of frequency points and the total number of frequency points N. ; Based on the interference-to-noise ratio (INR) and the proportion of interference bandwidth Calculate the interference transformation degree Y.

6. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 5, characterized in that, Noise ratio ;in, For interference set The power spectral density at the mid-frequency point k.

7. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 5, characterized in that, Based on the interference-to-noise ratio (INR) and the proportion of interference bandwidth Calculating the interference transformation degree Y includes: setting the interference-to-noise ratio. Weak interference threshold and strong interference threshold; set interference bandwidth ratio The broadband ratio threshold; when the interference-to-noise ratio When the interference is less than or equal to the weak interference threshold, the interference transformation degree Y is -0.1; when the interference-to-noise ratio is... Greater than the weak interference threshold and less than or equal to the strong interference threshold, and the interference bandwidth ratio When the bandwidth ratio is less than or equal to the bandwidth threshold, the interference transformation degree Y is 0; when the interference-to-noise ratio is... Greater than the strong interference threshold, and the proportion of interference bandwidth When the bandwidth ratio is less than or equal to the bandwidth ratio threshold, the interference transformation degree Y is 0.1; when the interference bandwidth ratio is less than or equal to the bandwidth ratio threshold, the interference transformation degree Y is 0.

1. When the interference transformation degree Y is greater than the broadband ratio threshold, the result is 0.

3.

8. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 1, characterized in that, The calculation of environmental change degree Z based on the base station's mobile speed information V includes: setting a minimum, intermediate, and maximum value for the mobile speed information V; when the base station's mobile speed information V is greater than or equal to the minimum value and less than the intermediate value, the environmental change degree Z is 0; when the base station's mobile speed information V is greater than or equal to the intermediate value and less than the maximum value, the environmental change degree Z is 0.1; when the base station's mobile speed information V is greater than or equal to the maximum value, the environmental change degree Z is -0.

2.

9. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 1, characterized in that, The adjustment amount M for calculating the spectrum detection window includes: ;in, These are the weights of each item.

10. The dynamic decision-making method for spectrum detection window in a mobile 5G communication system according to claim 1, characterized in that, Updating the spectrum detection window in the current mobile 5G communication system based on the adjustment amount M includes: calculating the adjusted spectrum detection window value based on the adjustment amount M. If the adjusted spectrum detection window value Less than the preset minimum spectrum detection window value Then the spectrum detection window in the current mobile 5G communication system will be updated to the minimum spectrum detection window value. If the adjusted spectrum detection window value Greater than the preset maximum spectrum detection window value Then the spectrum detection window in the current mobile 5G communication system will be updated to the maximum spectrum detection window value. Otherwise, update the spectrum detection window in the current mobile 5G communication system to the adjusted spectrum detection window value. .

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