A method and device for integrated base station spectrum management, electronic equipment and storage medium

Abstract

The application provides a spectrum management method and device for a sensing-integrated base station, electronic equipment and a storage medium. A new energy detection method is provided. The method uses historical detection information in energy detection, uses time correlation of a spectrum signal, adds the historical detection information to an energy detection judgment process, and judges spectrum occupation through multiple iterations. The method has high spectrum detection speed and improves detection precision. In addition, the method for the base station to perform communication sensing by using a detected spectrum hole is provided, which improves sensing precision and spectrum utilization of the sensing-integrated base station.

Description

Technical Field

[0001] This disclosure relates to the field of communication technology, specifically to a method, apparatus, electronic device, and storage medium for integrated sensing and communication base station spectrum management. Background Technology

[0002] In traditional integrated sensing base stations, the base station's spectrum resources are relatively fixed. According to the distance resolution formula, It is known that the larger the bandwidth, the higher the distance resolution. To meet the demands of high-precision sensing services, one solution is to use higher frequency bands, such as millimeter waves, and allocate a larger sensing bandwidth to improve sensing accuracy. Alternatively, new sensing bands can be allocated from the mid-to-low frequency range for sensing services. These methods all aim to improve sensing accuracy by increasing the sensing bandwidth. However, in wireless cells, the spectrum resources allocated to base stations are generally determined at the initial construction stage. The sensing accuracy of these base stations is relatively fixed. To improve sensing accuracy and increase spectrum utilization, a dynamic spectrum allocation method can be adopted. This involves finding spectrum holes to increase the sensing bandwidth and thus improve sensing accuracy.

[0003] Most existing spectrum sensing algorithms only consider frequency domain information. Under the new characteristics of large-scale, ultra-dense, highly heterogeneous, and highly dynamic broadband mobile communication networks, the dynamic time-varying sparsity of spectrum information due to the correlation between the time domain and frequency domain poses a huge challenge to spectrum information acquisition and data analysis and processing. There is an urgent need to innovate collaborative spectrum sensing and prediction schemes from multiple domains and dimensions. Summary of the Invention

[0004] The first aspect of this disclosure provides a method for spectrum management of an integrated sensing base station, the method comprising:

[0005] In an integrated sensing base station, the base station inputs the frequency domain information of the sensing frequency bands it collects into the data processing center. Each data point in the collected frequency domain information corresponds to a specific frequency. The base station senses the spectrum usage, acquires frequency domain data, and calculates the energy of each frequency point. ,in N represents the length of the frequency domain data, with each data point corresponding to a frequency. The N data points are grouped into groups of length L, resulting in M ​​frequency domain segments. Calculate the average energy of each frequency domain segment. ,in .

[0006] After grouping the frequency domain information and calculating the average energy, frequency domain energy detection based on historical information is performed. If it is the first time detecting this frequency band, there is no historical information to query, and a dual-threshold method is used for judgment. The frequency domain energy of the detected signal... When the frequency is considered to be occupied and a user is present, it is assumed that the frequency is occupied. At that time, it is assumed that the frequency point is not occupied. At that time, set For the detection threshold Adaptive changes, increase The value of is increased to raise the detection threshold. These are weighting coefficients; a re-evaluation is needed when the frequency domain energy of the detected signal... When the frequency is considered to be occupied and a user is present, it is assumed that the frequency is occupied. At that time, the frequency point is considered unoccupied. Record the frequency domain energy value and corresponding frequency domain position at that moment, and calculate the time period. The frequency domain energy information is used to obtain the average value. In hourly intervals As a unit, For the statistical time period All Average frequency domain energy Take the average to get the time interval. average value It also records whether the frequency domain resource is used, using 0 or 1 to represent unused and used status, respectively. This represents the number of times the device was used within that time period divided by the total number of tests. The test results are saved as historical test information after each test.

[0007] When historical detection information exists, the first iteration detection double threshold is set as follows:

[0008]

[0009] when Then, perform a second iteration, setting the detection threshold value for that iteration to:

[0010]

[0011] If after the second iteration, The value is still greater than less than Then proceed to the third iteration, with the threshold value set as follows:

[0012]

[0013] After the third iteration, if The third iteration is performed, and the decision threshold is set to... .like If the frequency domain location is found to be occupied, it is determined that the location is occupied; otherwise, it is not occupied. The base station performs detection using the network spectrum sensing method mentioned above, and uses the detected spectrum holes for communication sensing. The base station allocates sensing signals to the spectrum holes and uses the idle spectrum for sensing, thereby improving the sensing accuracy.

[0014] In a second aspect, this disclosure provides an electronic device comprising: at least one processor; and a storage device having at least one program stored thereon, wherein the at least one program is executed by the at least one processor to perform the network spectrum sensing method of this disclosure.

[0015] A third aspect of this disclosure provides a computer-readable storage medium storing an executable program that, when executed, performs a network spectrum sensing method according to this disclosure.

[0016] The technical solutions provided in the embodiments of this disclosure have at least the following technical effects or advantages:

[0017] This invention provides a spectrum management method for an integrated sensing base station. It utilizes historical detection information and the temporal correlation of signals during energy detection, proposing a novel energy detection method that offers fast detection speed and improved detection accuracy. Furthermore, it proposes a method for the base station to use detected spectral holes for real-time sensing, thereby enhancing the sensing accuracy of the integrated sensing base station and increasing spectrum utilization. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0019] Appendix Figure 1 Flowchart of the implementation of the integrated sensing base station spectrum management method, device, electronic equipment and storage medium proposed in this patent

[0020] Appendix Figure 2 Diagram of dual-threshold detection model

[0021] Appendix Figure 3 This is a schematic diagram of the energy detection-based spectrum detection method proposed in this patent.

[0022] Appendix Figure 4 Detailed flowchart of the energy detection method combining historical information proposed in this patent Detailed Implementation

[0023] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0024] The following detailed description of a sensor-integrated base station spectrum management method, apparatus, electronic device, and storage medium of the present invention is provided with reference to the accompanying drawings and specific embodiments.

[0025] Example 1:

[0026] In an integrated sensing base station, the base station inputs the frequency domain information of the sensing frequency bands it collects into the data processing center. Each data point in the collected frequency domain information corresponds to a specific frequency. The base station senses the spectrum usage, acquires frequency domain data, and calculates the energy of each frequency point. ,in N represents the length of the frequency domain data, with each data point corresponding to a frequency. The N data points are grouped into groups of length L, resulting in M ​​frequency domain segments. Calculate the average energy of each frequency domain segment. ,in .

[0027] After grouping the frequency domain information and calculating the average energy, frequency domain energy detection based on historical information is performed. If this is the first time detecting this frequency band, there is no historical information to query, and a dual-threshold energy detection method is used for judgment. The specific process is as follows:

[0028] The energy detection algorithm's detection process is relatively simple in principle, and can be represented as a binary hypothesis process. Given an input time-domain signal y(t), an N-point FFT is performed on the received signal to transform it to the frequency domain. Then, the square of the modulus of the frequency domain signal is calculated to obtain the detection statistic. The energy detection process, starting from the attached... Figure 2 As can be seen, its implementation principle is to accumulate signal energy within a certain frequency band, and then compare and decide with a set threshold value. If the accumulated energy is higher than a certain threshold, it indicates the presence of user information; if it is lower than the threshold value set in the decision module, it indicates that the user signal does not exist, i.e., there is only noise. The basis for energy detection decision is that the energy of the signal plus noise is greater than the energy of the noise.

[0029] The specific implementation is as follows:

[0030] Assume the base station senses the following spectrum signal:

[0031]

[0032] In the formula, H0 contains only noise, H1 contains primary user information, and s(n) represents the primary user signal information. This model assumes a normal distribution with a mean of zero and a variance of... w(n) represents the noise signal information. In this model, it is assumed that the sampled values ​​are statistically independent and identically distributed, the noise is Gaussian white noise, the mean is set to zero, and the variance is... .

[0033] Under condition H0, the sampled values ​​follow a Gaussian distribution, denoted as: Under condition H1, the value distribution can be expressed as: The output detection statistic T, after sampling and summing, is expressed as:

[0034]

[0035] Assume the given threshold is Then the false alarm probability can be expressed as

[0036]

[0037] In the formula, , .

[0038] When a signal is present, the probability of correct detection can be expressed as follows:

[0039]

[0040] If we use a right-tailed probability distribution to represent it:

[0041] The false alarm probability is expressed as:

[0042] The probability of a correct detection is:

[0043] The next step is to set the threshold. and In the dual-threshold setting, because the noise is random, the uncertainty is set to 'a', and its value... Then the estimated noise power Its fluctuation range can be represented by uncertainty, denoted as . Detecting dual thresholds

[0044]

[0045] in

[0046] When the energy of the detected signal group is ,in ,when When the frequency is considered to be occupied and a user is present, it is assumed that the frequency is occupied. At that time, it is assumed that the frequency point is not occupied. At that time, set For the detection threshold Adaptive changes, increase The value of is increased to raise the detection threshold. These are weighting coefficients; a re-evaluation is needed when the frequency domain energy of the detected signal... When the frequency is considered to be occupied and a user is present, it is assumed that the frequency is occupied. At that time, the frequency point is considered unoccupied. Record the frequency domain energy value and corresponding frequency domain position at that moment, and calculate the time period. The frequency domain energy information is used to obtain the average value. In hourly intervals As a unit, For the statistical time period All Average frequency domain energy Take the average to get the time interval. average value It also records whether the frequency domain resource is used, using 0 or 1 to represent unused and used status, respectively. This represents the number of times the device was used within that time period divided by the total number of tests. After each test, the results are saved as historical test information, as shown in the attached table. Figure 3 As shown.

[0047] When historical detection information exists, dual-threshold detection based on historical information is as follows: Figure 4 As shown. First, set the dual thresholds for the first iteration of detection as follows:

[0048]

[0049] when Then, perform a second iteration, setting the detection threshold value for that iteration to:

[0050]

[0051] If after the second iteration, The value is still greater than less than Then proceed to the third iteration, with the threshold value set as follows:

[0052]

[0053] After the second iteration, if The third iteration is performed, and the decision threshold is set to... .like If the frequency domain location is found to be occupied, it is determined that the location is occupied; otherwise, it is not occupied. The base station performs communication sensing based on the detected spectrum holes. The base station allocates sensing signals to the spectrum holes and uses the idle spectrum for sensing, thereby improving the sensing accuracy.

[0054] In a second aspect, this disclosure provides an electronic device comprising: at least one processor; and a storage device having at least one program stored thereon, wherein the at least one program is executed by the at least one processor to perform the spectrum energy sensing method and base station spectrum management method of this disclosure.

[0055] In a third aspect, this disclosure provides a computer-readable storage medium storing an executable program that, when executed, performs the spectrum energy sensing method and the base station spectrum management method according to this disclosure.

[0056] The technical solutions provided in the embodiments of this disclosure have at least the following technical effects or advantages:

[0057] This invention provides a spectrum management method for an integrated sensing base station. It utilizes historical detection information and the temporal correlation of signals during energy detection, proposing a novel energy detection method that offers fast detection speed and improved detection accuracy. Furthermore, it proposes a method for the base station to use detected spectral holes for real-time sensing, thereby enhancing the sensing accuracy of the integrated sensing base station and increasing spectrum utilization.

Claims

1. A method, apparatus, electronic device, and storage medium for integrated sensing and communication base station spectrum management, characterized in that: A sensing-integrated base station allocates sensing spectrum resources based on sensing spectrum usage. The method, applied to a sensing-integrated base station, includes: The base station inputs the frequency domain information of the collected sensing frequency bands into the data processing center. Each data point in the collected frequency domain information corresponds to a frequency point. The collected frequency domain information is grouped, and energy detection is performed based on a noise power threshold after grouping. The detection results are saved as historical detection information and used in subsequent detections.

2. The energy detection-based integrated base station spectrum management method as described in claim 1, wherein the base station senses spectrum usage, acquires frequency domain data, and calculates the energy of each frequency point. ,in N represents the length of the frequency domain data, with each data point corresponding to a frequency. The N data points are grouped into groups of length L, resulting in M ​​frequency domain segments. Calculate the average energy of each frequency domain segment. ,in .

3. The integrated sensing base station spectrum management method based on energy detection as described in claim 1, after grouping the frequency domain information and calculating the average energy according to claim 2, performs frequency domain energy detection based on historical information. If it is the first time detecting this frequency band, there is no historical information to query, and a dual-threshold method is used for judgment. When the frequency domain energy of the detected signal... When the frequency is considered to be occupied and a user is present, it is assumed that the frequency is occupied. At that time, it is assumed that the frequency point is not occupied. At that time, set For the detection threshold Adaptive changes, increase The value of is increased to raise the detection threshold. These are weighting coefficients; a re-evaluation is needed when the frequency domain energy of the detected signal... When the frequency is considered to be occupied and a user is present, it is assumed that the frequency is occupied. At that time, the frequency point is considered unoccupied. Record the frequency domain energy value and corresponding frequency domain position at that moment, and calculate the time period. The frequency domain energy information is used to obtain the average value. In hourly intervals As a unit, For the statistical time period All Average frequency domain energy Take the average to get the time interval. average value It also records whether the frequency domain resource is used, using 0 or 1 to represent unused and used status, respectively. This represents the number of times the device was used within that time period divided by the total number of tests. The test results are saved as historical test information after each test.

4. The energy detection-based integrated base station spectrum management method as described in claim 1 uses the historical detection information obtained in claim 3 in subsequent detections. When historical detection information exists, the first iteration detection dual thresholds are set as follows: when Then, perform a second iteration, setting the detection threshold value for that iteration to: If after the second iteration, The value is still greater than less than Then proceed to the third iteration, with the threshold value set as follows: After the second iteration, if The third iteration is performed, and the decision threshold is set to... .like If the frequency domain position is occupied, it is determined that the position is occupied; otherwise, it is not occupied.

5. The base station performs communication sensing based on the spectrum holes detected according to claims 1, 2, 3 and 4. The base station allocates sensing signals to the spectrum holes and uses the idle spectrum for sensing, thereby improving the sensing accuracy.

6. An electronic device, the electronic device comprising: At least one processor and a storage device having at least one program stored thereon, wherein when the at least one program is executed by the at least one processor, the at least one processor implements any one of the energy detection methods of claims 1 to 4; or the base station resource allocation method of claim 5.

7. A computer-readable storage medium storing an executable program, which, when executed, performs the energy detection method of any one of claims 1 to 4; or the base station resource allocation method of claim 5.

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