Spectrum collaborative management and control method adaptive to air-sea cross-domain communication gateway

Abstract

The invention relates to the technical field of wireless communication, and discloses a spectrum collaborative management and control method adaptive to an air-sea cross-domain communication gateway. Aiming at the problem of low spectrum resource management efficiency in an air-sea cross-domain communication scene, the method comprehensively considers overwater and underwater complex environments, and realizes pre-allocation of spectrum resources and dynamic adjustment according to environmental changes through underwater sound spectrum management and control, an efficient adaptive time slot allocation method and overwater electromagnetic spectrum management and control. The spectrum collaborative management and control method adaptive to the air-sea cross-domain communication gateway is based on a maximum-minimum fair channel allocation scheme, and is combined with task priority analysis and environment dynamic perception to perform channel pre-allocation and dynamically adjust a frequency point allocation strategy, so that resource waste is avoided, and the communication stability and the anti-interference capability are improved. The spectrum collaborative management and control method adaptive to the air-sea cross-domain communication gateway provided by the invention significantly improves the spectrum utilization efficiency and system performance of the cross-domain communication network, and is suitable for application scenarios such as ocean resource development and detection.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to a spectrum collaborative management and control method adapted to an air-sea cross-domain communication gateway. Background Art

[0002] The air-sea cross-domain communication gateway integrates air, sea and underwater communication networks to provide key support for ocean exploration and resource development. However, due to complex environmental factors such as airspace spectrum competition, sea multipath effects and underwater channel attenuation, the current traditional domestic spectrum management methods are difficult to meet the needs of cross-domain communication for dynamic allocation and control of spectrum resources. In cross-domain scenarios, it is necessary to consider the diverse needs and complex dynamic environment of both surface and underwater links.

[0003] To this end, there is an urgent need for a spectrum collaborative management method that is adapted to the air-sea cross-domain communication gateway to achieve optimal allocation and efficient utilization of spectrum resources, improve the stability, anti-interference capability and overall performance of the cross-domain communication network, and provide technical support for applications such as marine resource development and detection. Summary of the invention

[0004] In view of the problem that spectrum resource allocation and management in existing technologies are not efficient and flexible enough, a spectrum collaborative management method adapted to air-sea cross-domain communication gateways is proposed. This method dynamically allocates and manages spectrum resources of surface and underwater communication links, optimizes the utilization efficiency of underwater acoustic spectrum and surface electromagnetic spectrum, enhances the overall performance, anti-interference capability and system stability of cross-domain communication, and thus meets the communication needs in complex marine environments, providing solid technical support for the development and detection of marine resources and other fields.

[0005] The technical solution of the present invention is achieved in this way:

[0006] The present invention proposes a spectrum collaborative control method adapted to an air-sea cross-domain communication gateway, comprising the following steps:

[0007] A. Underwater sound spectrum control;

[0008] B. Efficient adaptive time slot allocation method;

[0009] C. Control of electromagnetic spectrum over water.

[0010] Preferably, the method for underwater sound spectrum control comprises the following steps:

[0011] A1, assuming that the speed of sound is fixed, the Urick model is used to calculate the sound attenuation;

[0012] A2. Use the Thorp formula to approximate the absorption loss;

[0013] A3. Define the relationship between noise power spectral density psd and frequency;

[0014] A4. Calculate the average signal-to-noise ratio (SNR) of an acoustic signal transmitted at a frequency of f and propagating a distance of d;

[0015] A5. Calculate channel capacity based on Shannon Hartley theorem;

[0016] A6. Implement the maximum-minimum fair channel allocation scheme;

[0017] A7. Modeling the channel allocation problem through the matching problem on the bipartite graph;

[0018] A8. Dynamically adjust spectrum allocation strategies to adapt to communication needs in different water environments.

[0019] Preferably, the efficient adaptive time slot allocation method, i.e., the spectrum on-the-fly change method, specifically comprises the following steps:

[0020] B1. Determine the availability of current spectrum through real-time perception and analysis of the underwater environment;

[0021] B2. When spectrum conflicts or interference occur, switch to backup channels or adjust allocation strategies in a timely manner to reduce the impact of interference;

[0022] B3. Continuously optimize spectrum allocation strategies through algorithms to adapt to communication needs in different water environments.

[0023] Preferably, the method for controlling electromagnetic spectrum over water specifically comprises the following steps:

[0024] C1. Before task execution, each node allocates initial frequency points according to communication requirements and task attributes;

[0025] C2, real-time dynamic management of spectrum resource allocation;

[0026] C3. Automatically release frequency resources after communication ends.

[0027] Preferably, before executing a task, the air-sea cross-domain communication gateway analyzes the communication requirements and task attributes of all nodes, including:

[0028] a1. Determine the bandwidth, communication duration and task priority required for each node;

[0029] a2. Allocate different spectrum resource weights according to the functional division of nodes (such as relay nodes, sensing nodes, etc.) and the importance of tasks;

[0030] a3. Based on the analysis results, the gateway divides the available spectrum into several frequency point sets and allocates an initial frequency point to each node to ensure sufficient communication resources when the task is started.

[0031] Preferably, during the execution of the communication task, the air-sea cross-domain communication gateway monitors the usage of spectrum resources in real time, including:

[0032] b1. Real-time perception of the usage of each frequency point, including bandwidth occupancy, interference level and node communication status;

[0033] b2. Dynamically adjust frequency allocation according to priority changes or sudden demands during task execution (such as emergency communication tasks);

[0034] b3. After the task is completed, the node automatically releases the occupied frequency resources for use by other nodes;

[0035] b4. When a frequency point is seriously interfered or its priority is reduced, the gateway allocates a new available frequency point to ensure smooth communication link.

[0036] Preferably, during dynamic adjustment, spectrum resources are optimized according to a priority allocation principle and an environment perception optimization principle, including:

[0037] c1. High-priority tasks (such as emergency communications and critical data transmission) have priority in obtaining high-quality spectrum resources, while low-priority tasks need to wait for available frequencies;

[0038] c2. According to the dynamic changes of the electromagnetic environment (such as noise interference, environmental blocking, etc.), the gateway selects the frequency with the least interference and allocates it to the affected nodes.

[0039] Preferably, when a node completes its current task or enters an idle state, the air-sea cross-domain communication gateway automatically reclaims its frequency point after detecting that the resources are idle, and reallocates the recovered spectrum resources according to the latest task requirements, thereby forming an efficient recycling of spectrum resources.

[0040] Preferably, the frequency allocation strategy adopts an optimization algorithm based on maximum-minimum fairness to ensure that high-priority tasks are given priority while taking into account the overall spectrum utilization; when the spectrum is interfered with, ad hoc adjustments are made, including allocating available frequencies according to node priority, switching frequencies for interfered nodes, selecting spectrum resources with the least interference, and periodically evaluating spectrum allocation efficiency for global optimization adjustments.

[0041] Compared with the related art, the spectrum collaborative control method for adapting the air-sea cross-domain communication gateway provided by the present invention has the following beneficial effects:

[0042] The technical solution of the present invention realizes the dynamic allocation and real-time adjustment of underwater acoustic spectrum and surface electromagnetic spectrum, significantly improving the utilization efficiency of spectrum resources, cross-domain communication performance, anti-interference capability and system stability;

[0043] By combining spectrum pre-allocation with ad hoc planning, the present invention optimizes communication links in complex environments, adapts to dynamic changes and reduces the impact of interference, meets the needs of multiple scenarios such as marine resource development and marine exploration, and provides an efficient and flexible spectrum management solution for air-sea cross-domain communication gateways. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is an example diagram of the frequency-dependent factor of the SNR of the acoustic signal transmitted by underwater acoustic transmission in the present invention when two users communicate (one is at 1 km and the other is at 10 km) and the frequency band control;

[0045] Figure 2 This is a network model diagram applicable to underwater sound spectrum control in the present invention. DETAILED DESCRIPTION

[0046] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0047] The present invention proposes a spectrum collaborative control method adapted to air-sea cross-domain communication gateways, including underwater acoustic spectrum control, an efficient adaptive time slot allocation method, and overwater electromagnetic spectrum control.

[0048] The underwater sound spectrum control method specifically comprises the following steps:

[0049] In the present invention, the speed of sound is considered to be fixed, propagating at c≈1500 m / s. The Urick model for the attenuation of sound transmitted at a frequency f is adopted:

[0050] Where d is the distance between the transmitter and the receiver, and k is the corresponding value of the path loss coefficient in terrestrial radio, which is used to model the geometry of propagation, and a practical value of k = 1.5 is usually used. The factor a(f) in the above equation is called absorption loss and models the conversion of sound pressure into heat. This factor a(f) can be approximated by Thorp's formula:

[0051]

[0052] Where A(f) = 10log 10 a(f). For f in kHz, the above equation returns a(f) in dB / km. The attenuation increases with frequency, and the exponential term a(f) in the front d The existence of strengthens the dependence of attenuation on distance.

[0053] The noise power spectral density (psd) is also frequency dependent and is usually expressed as N(f) = N t (t)+N s (f)+N w (f)+N th(f), contains the superposition of four contributions: turbulence, shipping and other human activities, wind and waves, and thermal noise in the receiver circuits. These components can be modeled as follows:

[0054] N t (f) = 17-30log 10 (f)

[0055] N s (f) = 40 + 20 (s-0.5) + 26log 10 (f)-60log 10 (f+0.03)

[0056]

[0057] N th (f) = -15 + 20log 10 (f)

[0058] Among them, N x (f) represents 10log 10 N x (f), x represents t, s, w, th. N s The s in (f) is the shipping factor, which indicates the intensity of shipping activities on the water surface, and its value is between 0 and 1. w The factor w in (f) is the wind speed in m / s. Different components contribute to the noise PSD at different frequencies.

[0059] The average SNR of an acoustic signal sent at frequency f and propagating distance d is defined as:

[0060]

[0061] Where P T is the transmitted power, and N(f) is the noise power spectral density (assumed to be constant in a narrowband Δf around f). In the above equation, the factor [A(d, f)N(f)] -1 is a frequency-dependent term. It should be noted that A(d,f) increases with increasing frequency, while N(f) decreases. Therefore, the inverse of the product of these two factors has a maximum value for a certain frequency f0. This maximum value represents the optimal frequency for transmitting the acoustic signal.

[0062] Figure 1 The frequency-dependent factors [A(d, f)N(f)] are shown in -1 , for multiple values ​​of d. Each line corresponds to a different distance, and the frequency ranges from 0 to 50KHz. Figure 1 The lines of different colors represent different distances [A(d, f)N(f)] -1Factor, the red line and the black line represent the non-optimal allocation and the optimal allocation, respectively.

[0063] Assume f l and f r are the upper and lower frequencies of the specific channel used for communication, and it is also assumed that the signal to be transmitted has a spectrum S(f). According to the Shannon Hartley theorem, the channel capacity is:

[0064]

[0065] This definition can be applied to any signal or sound spectrum.

[0066] The present invention proposes a maximum-minimum fair channel allocation scheme. For any feasible channel allocation x, let C = (c x,1 ,c x,2 ,…,c x,N ) is its capacity vector, where each subscript indicates the capacity experienced on a particular channel for some feasible allocation x. If for any other feasible allocation x, let C be in terms of c x,1 ≤c x,2 ≤…≤c x,N Sort, for any other feasible assignment x of i, there is c x,i ≤c y,i Then the feasible channel allocation y is called a maximum-minimum fair allocation.

[0067] Let N be the number of users. In the scenario where the underwater sound spectrum allocation control of the present invention is applicable, N also represents the number of channels to be allocated. The channel allocation problem is conveniently modeled as a matching problem on a bipartite graph. Let vertex i = 1, 2, ..., N represent users, and let vertex j = N+1, N+2, ..., 2N represent channels. The assigned solution is a set A of edges (i, j) such that |A| = N, and A is matched.

[0068] Let P be the set of all edges that can belong to a solution, i.e., P = {(i, j) | i = 1, 2, ... N, j = N + 1, N + 2, ..., 2N}. Our algorithm works by successively removing edges with the lowest capacity from P until no feasible solutions exist. Let (i, j) be the edge whose removal inhibits solution to the problem. The capacity of (i, j) is the maximum of the minimum of the channel capacities in each allocation over all feasible allocations; thus, the capacity value of (i, j) will appear in the capacity vector of the max-min fair channel allocation. To find a complete max-min fair solution (i.e., all channel-user allocations), the algorithm is repeated by removing all edges that appear in i or j (because user i and channel j have already been allocated), and terminates when the problem of N-1 users being allocated to N-1 channels is solved, i.e., all users and channels have been allocated.

[0069] The spectrum change method is carried out through the following steps: first, through real-time perception and analysis of the underwater environment, determine the availability of the current spectrum; second, when spectrum conflicts or interference occur, switch to backup channels or adjust allocation strategies in time to reduce the impact of interference; finally, continuously optimize the spectrum allocation strategy through algorithms to adapt to communication needs in different water environments. This dynamic and real-time spectrum management method can not only effectively avoid the waste of spectrum resources, but also maximize the overall performance and reliability of the air-sea cross-medium communication network.

[0070] The method for controlling electromagnetic spectrum on water specifically comprises the following steps:

[0071] Before the task is executed, each node is assigned an initial frequency point according to its communication needs and task attributes to ensure the pre-planning and orderly scheduling of communication resources. However, in order to improve the utilization efficiency of spectrum resources, this method does not allocate frequencies in a fixed manner, but adopts a real-time dynamic management mechanism. The air-sea cross-domain communication gateway is responsible for monitoring the actual occupancy of the frequency points, and dynamically adjusts the allocation of spectrum resources according to the communication priority of the task, real-time needs and environmental changes. After the communication is completed, the frequency point resources will be automatically released for use by other nodes, ensuring the recycling of spectrum resources and avoiding long-term idle waste.

[0072] Combine the following Figure 2 This embodiment is described. The present invention is applicable to an air-sea cross-domain communication network.

[0073] The specific implementation of the present invention is:

[0074] Before executing a mission, the air-sea cross-domain communication gateway analyzes the communication requirements and task attributes of all nodes, mainly including: determining the bandwidth, communication duration and task priority required for each node; allocating different spectrum resource weights according to the functional division of the node (such as relay node, perception node, etc.) and the importance of the task; based on the analysis results, the gateway divides the available spectrum into several frequency point sets and allocates an initial frequency point to each node to ensure the sufficiency of communication resources when the mission starts.

[0075] During the execution of communication tasks, the air-sea cross-domain communication gateway monitors the use of spectrum resources in real time, mainly including: real-time perception of the use of each frequency point (including bandwidth occupancy, interference level and node communication status); dynamic adjustment of frequency point allocation according to priority changes or sudden demands (such as emergency communication tasks) during task execution; after the task is completed, the node automatically releases the occupied frequency point resources for use by other nodes; when a certain frequency point is seriously interfered or its priority is reduced, the gateway allocates new available frequency points to ensure the smooth flow of communication links.

[0076] During dynamic adjustment, spectrum resources are optimized based on the priority allocation principle and the environmental perception optimization principle, including: high-priority tasks (such as emergency communications and critical data transmission) are given priority to obtain high-quality spectrum resources, and low-priority tasks need to wait for available frequencies; according to the dynamic changes of the electromagnetic environment (such as noise interference, environmental blockage, etc.), the gateway selects the frequency with the least interference and allocates it to the affected nodes.

[0077] When a node completes its current task or enters an idle state, the air-sea cross-domain communication gateway automatically reclaims its frequency point after detecting that the resources are idle and reallocates the recovered spectrum resources according to the latest task requirements, thereby forming an efficient recycling of spectrum resources.

[0078] In the present invention, the frequency allocation strategy adopts an optimization algorithm based on maximum-minimum fairness to ensure that high-priority tasks are given priority while taking into account the overall spectrum utilization rate; when the spectrum is interfered with, an ad hoc adjustment is performed, and the adjustment steps are: first, sort by node priority and allocate available frequencies to the nodes with the highest priority; second, switch the frequencies of the interfered nodes and select the spectrum resources with the least interference; finally, periodically evaluate the spectrum allocation efficiency and perform global optimization adjustments.

[0079] The above only describes the preferred embodiments of the present invention. It should be understood that the present invention is not limited to the above specific implementation methods. Although the present invention has been disclosed as above in the preferred embodiments, it is not used to limit the present invention. Any technician familiar with the profession can make some changes or modify the technical contents disclosed above into equivalent embodiments with equivalent changes without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent replacement and improvement made to the above embodiments without departing from the content of the technical solution of the present invention, based on the technical essence of the present invention, within the spirit and principles of the present invention, still fall within the protection scope of the technical solution of the present invention.

[0080] The above only describes the preferred embodiments of the present invention. It should be understood that the present invention is not limited to the above specific implementation methods. Although the present invention has been disclosed as above in the preferred embodiments, it is not used to limit the present invention. Any technician familiar with the profession can make some changes or modify the technical contents disclosed above into equivalent embodiments with equivalent changes without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent replacement and improvement made to the above embodiments without departing from the content of the technical solution of the present invention, based on the technical essence of the present invention, within the spirit and principles of the present invention, still fall within the protection scope of the technical solution of the present invention.

Claims

1. A spectrum collaborative control method adapted to air-sea cross-domain communication gateways, characterized in that: The following steps are involved: A. Underwater sound spectrum control; B. Efficient adaptive time slot allocation method; C. Control of electromagnetic spectrum over water.

2. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: The method for underwater sound spectrum control specifically comprises the following steps: A1, assuming that the speed of sound is fixed, the Urick model is used to calculate the sound attenuation; A2. Use the Thorp formula to approximate the absorption loss; A3. Define the relationship between noise power spectral density psd and frequency; A4. Calculate the average signal-to-noise ratio (SNR) of an acoustic signal transmitted at a frequency of f and propagating a distance of d; A5. Calculate the channel capacity according to Shannon Hartley theorem; A6. Implement the maximum-minimum fair channel allocation scheme; A7. Modeling the channel allocation problem through the matching problem on the bipartite graph; A8. Dynamically adjust spectrum allocation strategies to adapt to communication needs in different water environments.

3. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: The efficient adaptive time slot allocation method, i.e., the on-the-spot spectrum change method, specifically comprises the following steps: B1. Determine the availability of current spectrum through real-time perception and analysis of the underwater environment; B2. When spectrum conflicts or interference occur, switch to backup channels or adjust allocation strategies in a timely manner to reduce the impact of interference; B3. Continuously optimize spectrum allocation strategies through algorithms to adapt to communication needs in different water environments.

4. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: The method for controlling electromagnetic spectrum on water specifically comprises the following steps: C1. Before task execution, each node allocates initial frequency points according to communication requirements and task attributes; C2, real-time dynamic management of spectrum resource allocation; C3. Automatically release frequency resources after communication ends.

5. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: Before executing a mission, the air-sea cross-domain communication gateway analyzes the communication requirements and mission attributes of all nodes, including: a1. Determine the bandwidth, communication duration and task priority required for each node; a2. Allocate different spectrum resource weights according to the functional division of nodes and the importance of tasks; a3. Based on the analysis results, the gateway divides the available spectrum into several frequency point sets and allocates an initial frequency point to each node to ensure sufficient communication resources when the task is started.

6. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: During the communication mission execution, the air-sea cross-domain communication gateway monitors the use of spectrum resources in real time, including: b1. Real-time perception of the usage of each frequency point, including bandwidth occupancy, interference level and node communication status; b2. Dynamically adjust frequency allocation according to priority changes or sudden demands during task execution; b3. After the task is completed, the node automatically releases the occupied frequency resources for use by other nodes; b4. When a frequency point is seriously interfered or its priority is reduced, the gateway allocates a new available frequency point to ensure smooth communication link.

7. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: During dynamic adjustment, spectrum resources are optimized based on the priority allocation principle and environment perception optimization principle, including: c1. High-priority tasks have priority in obtaining high-quality spectrum resources, while low-priority tasks need to wait for available frequencies; c2. According to the dynamic changes of the electromagnetic environment, the gateway selects the frequency with the least interference and allocates it to the affected nodes.

8. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: When a node completes its current task or enters an idle state, the air-sea cross-domain communication gateway automatically reclaims its frequency point after detecting that the resources are idle, and reallocates the recovered spectrum resources according to the latest task requirements, forming an efficient recycling utilization of spectrum resources.

9. The spectrum collaborative control method for adapting the air-sea cross-domain communication gateway according to claim 1 is characterized in that: The frequency allocation strategy adopts an optimization algorithm based on maximum-minimum fairness to ensure that high-priority tasks are given priority while taking into account the overall spectrum utilization. When the spectrum is interfered with, on-the-spot adjustments are made, including allocating available frequencies according to node priority, switching frequencies for interfered nodes, selecting spectrum resources with the least interference, and periodically evaluating spectrum allocation efficiency for global optimization adjustments.

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